Exosomal long non-coding RNAs: novel molecules in gastrointestinal cancers’ progression and diagnosis

Abstract

Gastrointestinal (GI) cancers arise in the GI tract and accessory organs, including the mouth, esophagus, stomach, liver, biliary tract, pancreas, small intestine, large intestine, and rectum. GI cancers are a major cause of cancer-related morbidity and mortality worldwide. Exosomes act as mediators of cell-to-cell communication, with pleiotropic activity in the regulation of homeostasis, and can be markers for diseases. Non-coding RNAs (ncRNAs), such as long non-coding RNAs (lncRNAs), can be transported by exosomes derived from tumor cells or non-tumor cells. They can be taken by recipient cells to alter their function or remodel the tumor microenvironment. Moreover, due to their uniquely low immunogenicity and excellent stability, exosomes can be used as natural carriers for therapeutic ncRNAs in vivo. Exosomal lncRNAs have a crucial role in regulating several cancer processes, including angiogenesis, proliferation, drug resistance, metastasis, and immunomodulation. Exosomal lncRNA levels frequently alter according to the onset and progression of cancer. Exosomal lncRNAs can therefore be employed as biomarkers for the diagnosis and prognosis of cancer. Exosomal lncRNAs can also monitor the patient’s response to chemotherapy while also serving as potential targets for cancer treatment. Here, we discuss the role of exosomal lncRNAs in the biology and possible future treatment of GI cancer.

Introduction

Gastrointestinal (GI) cancers, such as colorectal, esophageal, gastric, hepatocellular carcinoma, and pancreatic cancer, are among the most common malignancies diagnosed worldwide. Based on the GLOBOCAN cancer statistics, GI cancers account for 26% of newly diagnosed cases and 35% of cancer-related deaths globally (1, 2). Typically, chemotherapy, surgery, targeted therapy, and other approaches have been used to treat GI cancer. Patients with GI cancer who undergo early detection and therapy have a better prognosis than those who are diagnosed at an advanced stage (3, 4). Current diagnostic approaches mostly rely on invasive techniques that are difficult to apply for screening purposes, such as pathological biopsies or digestive tract endoscopy. The discovery of novel biomarkers, such as non-coding RNAs, is important for early diagnosis and more targeted therapy (4). The development of resistance to radiotherapy, chemotherapy, immunotherapy, or targeted therapy still poses a serious obstacle to effective cancer treatment, despite some recent advances. By deciphering crucial cellular signaling pathways, recent studies have demonstrated that ncRNAs also play a key role in the development of resistance to many cancer treatments (5).

Extracellular vesicles (EVs), also called exosomes, are formed when multivesicular bodies (MVBs) inside cells fuse with the plasma membrane. Their sizes range from 40 to 160 nm (average 100 nm) (6). It has been reported that B cells released antigen-presenting exosomes that triggered a T-cell response (7, 8). Moreover, exosomes could contain both messenger RNAs (mRNAs) and microRNAs (miRNAs) which could then be transported to other recipient cells in order to perform a specific function (9). Exosomes have been found to contain DNA, proteins, and RNAs, including non-coding RNAs (ncRNAs) and long-non coding RNAs (lncRNAs), which can allow cell-to-cell communication and affect signaling pathways (10).

The participation of exosomes in the development and progression of GI cancer has recently attracted more interest in both research and possible treatment. It has been hypothesized that cancer cells generate more exosomes compared with healthy cells (11). Exosomes are actively secreted by the source cancer cells and are crucial for cancer cell functioning. Exosomes can also be released by stromal cells, immune cells, or other cells in the cancer microenvironment. Exosome-mediated interactions between stromal cells, immune cells, and cancer cells have been implicated in the development of several GI cancers (11, 12).

lncRNAs show differential expression levels in cancer cells and normal tissues (13, 14). They can affect the function of target molecules, including miRNAs and proteins, and therefore, can regulate tumor aggressiveness and chemoresistance (15–17). The best known function of lncRNAs is their ability to act as competitive endogenous RNAs (ceRNA), by sponging their target miRNAs and thereby affecting the expression of the mRNA targets of the specific miRNAs (18). lncRNAs are essential regulatory elements in several biological processes, including RNA processing, transcriptional interference, chromatin remodeling, and protein degradation (19, 20). Many studies have concentrated on the significance of lncRNAs in cancer because they can regulate genetic and epigenetic alterations which are critical in carcinogenesis and cancer progression. lncRNAs are essential for the complete understanding of the biology of cancer (Figure 1). Abnormal expression of lncRNAs has been linked to tumor development, invasion, and overall patient survival by primarily affecting the epigenetic regulation of both oncogenes and tumor suppressor genes (21–25). Although some putative mechanistic roles have been clarified, the function of most lncRNAs still remains unclear (26). According to a recent study, lncRNAs may be regarded as complex molecular regulators or “fine-tuners” because of their ability to act in a tissue-/cell- specific manner (26–30). The role of lncRNAs in several GI cancers has been established. These lncRNAs may be divided into three classes based on their function, namely, tumor suppressors, tumor promoters (oncogenes), and dual-action tumor suppressors/promoters, and the latter precise function may be context- or tissue-dependent.

Figure 1

In this review, we will focus on exosome-enriched lncRNAs in the pathogenesis of GI cancers. We also briefly discuss the dysregulation of exosome-enriched lncRNA expression in GI cancer and summarize how exosomal lncRNAs can regulate cancer cell progression by acting as either tumor suppressors or as oncogenes.

Exosome biogenesis

Exosomes are continuously produced from late endosomes generated by the invagination of the membrane of MVBs. This process subsequently leads to the formation of intraluminal vesicles (ILVs) inside the MVBs (31). During this process, the invaginated membranes engulf some specific proteins, while the same process occurs for some other cytosolic components which are then incorporated within the ILVs. A majority of ILVs are secreted into the extracellular space after their fusion to the cell membrane. The term “exosomes” refers to these secreted ILVs (32, 33).

Exosomes are a class of EVs with a diameter ranging from 30 to 100 nm (34). They are composed of a combination of lipids and proteins, which are derived from the endosomes from which they originated. The lipids are mainly composed of cholesterol, ceramide, and sphingomyelin (35–37). Canonical exosomes show a biconcave or cup-like shape, which is supposed to be due to a drying process taking place during their preparation for study. This is because they display a spheroidal shape in the aqueous environment under transmission electron microscopy (TEM) (38). Exosomes mainly show a density ranging from 1. 13 g/ml for B-cell-derived exosomes (39) to 1. 19 g/ml for epithelial cell-derived exosomes (40), as measured by sucrose gradient centrifugation. The proteins in the ESCRT (endosomal sorting complexes required for transport) play a role in the formation of exosomes. The ESCRT protein family is divided into four subgroups, i.e., ESCRT-0, ESCRT-I, ESCRT-II, and ESCRT-III (41). The detection and transfer of ubiquitinated proteins to specific domains located on the endosomal membrane by ubiquitin-binding subunits of ESCRT-0 has been found to initiate the ESCRT formation process. ESCRT-I then interacts with ESCRT-II forming a larger complex, which then unites with the ESCRT-III complex. The latter helps in the budding process. Eventually, the buds are cleaved from the membrane and form ILVs. Finally, the ESCRT-III complex is dissociated from the MVB membrane by the vacuolar protein sorting 4 (Vps4) AAA ATPase which provides the energy (42).

Some cargoes can be incorporated into MVBs without binding to ESCRT-0, ESCRT-I, or ESCRT-II protein complexes. Instead, ALG-2-interacting protein X (Alix), an ESCRT-interacting protein, binds to the CHMP4 subunit of the ESCRT-III complex and the pseudoautosomal region 1 (PAR1), a G-protein-coupled membrane receptor, and subsequently transfers PAR1 to MVBs without requiring ubiquitylation. ALIX also binds to syntenin causing syndecans to bind to CD63. The proteins ALIX, syntenin, syndecan, and CD63 are all found within MVBs and exosomes but do not require ubiquitination for their function (43, 44). ESCRT-independent pathways control the production of exosomes, which contain tetraspanin cargoes and require lipids for their activity.

Exosomes are rich in tetraspanins, proteins that possess four transmembrane domains each with a specific palmitoylation site. CD9, CD37, CD63, CD81, and CD82 (in addition to other tetraspanins) are considered to be specific biomarkers for exosomes, as they are concentrated on the exosome surface (9). Ceramides can trigger the separation of the lateral phase and the fusion of microdomains when studied in model membranes. Furthermore, the particular cone-shaped structure of exosomes is caused by ceramide, which spontaneously forms a negative curvature in the endosomal membrane, in order to promote domain-induced budding. This ceramide-based mechanism suggests an important role for exosomal lipids in the production of exosomes (45). Three glycosylphosphatidyl inositol (GPI)-anchored proteins (CD55, CD58, CD59), and the palmitoylated protein Lyn, are sorted into exosomes during the process of red blood cell maturation. Thus, proteins containing these lipids can selectively enter lipid rafts composed of cholesterol, sphingomyelin, and ceramides (46, 47). Higher levels of exosome secretion have been reported in human immunodeficiency virus type-1 (HIV-1)- infected cells, resulting in ESCRT-independent exosomal generation. Investigations have reported that two conventional markers of exosomes (tetraspanins CD63 and CD81) can be found within these exosomes, which have the same size as classical exosomal structures (46, 48). The ESCRT-0 complex is responsible for clustering the ubiquitinated cargoes (49).

Exosomal long non-coding RNAs and different GI cancers

Exosomal long non-coding RNAs and gastric cancer

Gastric cancer (GC) is the fifth most prevalent human malignancy and the third cause of cancer-related death according to the Global Cancer Observatory, CANCER TODAY (GLOBOCAN) 2018 statistics (50). Patients are frequently diagnosed with metastasis due to presenting at later stages (51). Most GC patients do not show any clinical symptoms at the early stages (52), while nausea and vomiting or upper GI symptoms are reported in some cases, but these are similar to peptic ulcer and so are not specific for GC (53). Therefore, most GC patients are at an advanced stage when the diagnosis is confirmed (54). Recent research has shown that exosome-derived lncRNAs are involved in the development, progression, and drug resistance of GC tumors. Exosomal lncRNA expression levels can also promote or inhibit the development of GC.

Additionally, the exosomal membrane structures protect the lncRNAs from being broken down by enzymes in the body, thereby enhancing the stability of exosomal lncRNAs. Exosomes have distinctive characteristics that may be used to identify them, and their contents can be utilized to determine the cells from whence they originated. Exosomal lncRNAs can therefore be used as therapeutic targets, as well as prognostic or diagnostic biomarkers. Controlling exosome biogenesis and exosomal lncRNA expression levels may be a potential strategy to prevent or eliminate GC (55, 56). Figure 2 illustrates the main steps of exosomal lncRNA biogenesis and release.

Figure 2

The forkhead box protein M1 (FOXM1) is a transcription factor which is evolutionarily conserved and involved in regulating cancer development and progression in various human malignancies (58–60). FOXM1 is upregulated in most human tumors, such as GC, and plays a substantial role in regulating the proliferation, migration, and apoptosis of cancer cells (61, 62). FOXM1 has already been reported in several studies to be a crucial oncogene correlated with the occurrence of GC, where it causes the upregulation of FOXM1-related LncRNA 1 (FRLnc1), an FOXM1-related lncRNA. This suggests that FRLnc1 could act as an independent prognostic indicator for the prediction of survival in GC patients (58, 63). Furthermore, it has been discovered that GC patient serum exosomes showed higher FRLnc1 expression (64). Importantly, FRLnc1 upregulation was significantly associated with clinicopathological properties, including lymph node metastasis and advanced TNM stage. Also, cellular assessment revealed that FRLnc1 knockdown using RNA interference reduced the proliferation and migration of HGC-27 cells, while its overexpression enhanced both properties in MKN45 cells. Following cellular treatment with exosomes, the expression of FRLnc1 was increased in MKN45 cells, and consequently, the proliferation and migration showed a significant increase. In conclusion, GC cell-derived exosomes were found to be involved in promoting the growth and metastasis of malignant cells through transporting the lncRNA FRLnc1, suggesting that exosome-transported FRLnc1 could act as a potential biomarker with possible diagnostic and therapeutic applications in GC patients. The transport of FRLnc1 via cancer cell-derived exosomes suggests that this process could be a novel therapeutic target for GC patients (64).

It has been demonstrated that the phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway plays a critical role in the initiation and development of several cancers and could therefore be a therapeutic target in cancer treatment. The development and prognosis of GC have been associated with abnormalities in PI3K/AKT pathways, which play a significant role in the progression and development of GC (65). Some nc RNAs have been shown to control this pathway (66–68). For example, Wang and colleagues assessed the possible role and mechanism of mesenchymal stem cell (MSC)-derived exosomal lncRNA LINC01559 in GC development (69). In-silico data retrieved from online databases including The Cancer Genome Atlas (TCGA) and the Gene Expression Profiling Interactive Analysis (GEPIA) showed the presence of LINC01559 in GC tissues. LINC01559 also demonstrated lower expression in GC cells compared with MSCs. Silencing studies showed that LINC01559 knockdown significantly decreased the proliferation, migration, and stemness of GC cells. The authors also found that LINC01559 was transported from MSCs to GC cells via exosomes, and their involvement was confirmed using immunofluorescence staining and electron microscopy. Mechanistically, LINC01559 was found to sponge miR-1343-3p, thereby upregulating PGK1 (phosphoglycerate kinase 1) and eventually activating the PI3K/AKT pathway. Furthermore, LINC01559 recruited EZH2 [already well known to contribute to the development of human cancer (64, 65)] to the promoter of phosphatase and tensin homolog (PTEN) and induced its methylation, which eventually resulted in its repression. Therefore, LINC01559 enhanced GC progression by targeting both PGK1 and PTEN and, consequently, triggered the PI3K/AKT pathway. Overall, this study revealed that LINC01559 promoted GC progression through upregulation of PGK1 and downregulation of PTEN to activate the PI3K/AKT pathway, suggesting that LINC01559 could be a therapeutic target in GC (69).

The human stomach mucosa possesses a hypoxic environment, and GC tissues show even more severe hypoxia (70). The tissue architecture of GC is exceedingly heterogeneous, and immune cells, blood vessels, and fibroblasts interact intricately with cancer cells. The vessels and fibroblast cells of the tumor microenvironment affect O₂ diffusion and perfusion and, consequently, result in hypoxia. Hypoxia is caused by a functional and structural abnormality of the tumor vasculature or disturbances in the regular geometry of the blood vessels (71). Hypoxia is one of the main properties of solid tumors linked to tumor growth, invasion, and metastasis (71). Recently, the molecular mechanism of tumor invasion in GC cells in a hypoxic environment was investigated (72). To simulate hypoxic conditions, GC cells were cultured in a medium treated with 1% O₂, while normoxia conditions were created using 20% O₂. The normoxic-cultured GC cells (NGCs) were co-cultured with medium from the hypoxia-cultured GC cells (HGCs). Cell scraping and Transwell tests were employed for the evaluation of the invasion and migration of GC cells. GC-derived exosomes were extracted using ultracentrifugation. The size distribution and exosome amounts were evaluated using electron microscopy and Western blot analysis. The prostate cancer gene expression marker 1 (PCGEM1) lncRNA was found to be highly expressed in HGC-derived exosomes. These exosomes increased the invasion and migration of NGCs. Mechanistically, PCGEM1 positively targeted the zinc finger transcription factor SNAI1, maintaining its stability and suppressing its degradation to induce the epithelial–mesenchymal transition (EMT) of GC cells. Taken together, PCGEM1 was upregulated in GC cells, partially incorporated into exosomes, to promote the migration and invasion of recipient GC cells. The authors suggested that exosomal PCGEM1 could act as a “scaffold” and, in combination with SNAI1, promote invasion and metastasis in GC (72).

Exosomal lncRNAs have a role in GC chemoresistance, similar to other ncRNAs (14, 73). According to Wang et al., downregulation of HOXA transcript at the distal tip (HOTTIP) increases cisplatin (DDP) sensitivity, whereas increased HOTTIP levels were seen in GC cells resistant to DDP (74). HOTTIP can activate DDP resistance by delivering exosomes from DDP-resistant GC cells to neighboring susceptible cells. Additionally, HOTTIP functions as a ceRNA, sponging miR-218 to activate HMGA1 in GC cells and increase resistance to cisplatin. Additionally, elevated serum expression of HOTTIP has been linked to DDP treatment side effects in GC patients (74). Figure 3 and Table 1 shows some lncRNAs that are involved in GI cancer pathogenesis.

Figure 3

Exosomal long non-coding RNAs and pancreatic cancer

Pancreatic cancer (PC) is among the leading causes of cancer-related death in developed countries and is classified into two major types, namely, adenocarcinoma (85% of diagnosed cases) and pancreatic endocrine tumors (<5%) (174). Tobacco, obesity, alcohol consumption, age, heredity, and chronic pancreatitis are the main risk factors for PC (175). Anorexia, asthenia, abdominal pain, and weight loss are the main clinical symptoms of the disease, but PC is not easily diagnosed due to a lack of specific symptoms (176). Additionally, little progress has been made in discovering preventative or therapeutic approaches for patients with PC, especially advanced PC (177). Given the role of ncRNAs in the development and progression of PC, pancreatic ductal adenocarcinoma (PDAC) has been reported to be associated with some exosomal lncRNAs (178).

Tumor-associated macrophages (TAMs), including M2 phenotype cells, are found to infiltrate solid tumors and help to induce proliferation, invasion, and angiogenesis (179, 180). M2-polarized TAMs are correlated with a poor prognosis in PC because of their role in lymphatic metastasis (181). Exosomes are also found in the bloodstream and tissue microenvironment, and it has recently been proposed that exosomes produced by M2 macrophages provide tumor cells with a regulatory transfer of proteins or signals to regulate their migration. For instance, the exosome- induced transfer of ApoE protein from TAMs to PC cells enhanced cell migration (48, 182). The mechanism through which M2 macrophages affect the proliferation, migration, and invasion of PC cells via the SBF2-AS1/miR-122-5p/XIAP axis (XIAP is an inhibitor of apoptosis proteins) has been explored (96). LPS plus IFN-γ and interleukin-4 treatment were used for transforming THP-1 cells into M1 and M2 macrophages. The PANC-1 PC cell line highly expressing lncRNA SET-binding factor 2 antisense RNA1 (SBF2-AS1) was selected as a tumor model for the extraction and identification of M2 macrophage-derived exosomes. SBF2-AS1 and XIAP expression levels, the SBF2-AS1 effects on the malignant phenotype of PC cells, and interactions between SBF2-AS1, miR-122-5p, and XIAP were evaluated. The effect of M2 macrophage exosomal SBF2-AS1 on the malignant phenotype of PANC-1 tumors was assessed in vivo. The results demonstrated that M2 macrophage-derived exosomes increased PC cell proliferation, migration, and invasion. SBF2-AS1 overexpression also showed the same effect on the progression of PC cells. Mechanistically, SBF2-AS1 repressed miR-122-5p expression and acted as a ceRNA to eventually upregulate XIAP expression. Additionally, M2 macrophage-derived exosomes containing SBF2-AS1 restrained the malignant phenotype of PC cells. Taken together, this study demonstrated that SBF2-AS1 incorporated into M2 macrophage-derived exosomes sponged miR-122-5p to upregulate XIAP, which acted as an inhibitor of PC progression (96).

Angiomotin (AMOT) is an angiostatin-binding protein, also known as a motin (183). This family of AMOTs has three members: AMOT, AMOT-like 1 (AMOTL1), and AMOTL2 (183). AMOTL2 has been found to be involved in the regulation of vascular endothelial cell proliferation, polarity, and tube formation, which are due to positive regulation of the MAPK/ERK1/2 signaling pathway (184). Moreover, AMOTL2 has been correlated with the progression and occurrence of some human cancers (185–187). Guo and colleagues investigated the role of exosomes produced by hypoxic PC cells in the angiogenesis of PC tumors (98). They reported that PC cell-derived hypoxic exosomes promoted the migration and tube formation of human umbilical vein endothelial cells (HUVECs) (98). The lncRNA UCA1 was found to be highly expressed in these exosomes and could be transferred to HUVECs. Additionally, the UCA1 expression levels in exosomes isolated from serum samples of PC patients were higher than those in healthy individuals, while it was correlated with worse prognosis in PC patients. Furthermore, hypoxic exosomal UCA1 increased the proliferation of cancer cells, as well as angiogenesis and tumor growth in a mouse xenograft model. Mechanistically, UCA1 sponged miR-96-5p, to upregulate AMOTL2 expression. Overall, these findings demonstrated that hypoxic exosomal UCA1 may enhance angiogenesis and tumor growth in PC via the miR-96-5p/AMOTL2/ERK1/2 axis and so could be a novel therapeutic target for PC (Figure 4) (13, 98).

Figure 4

Another study investigated the role of exosomal lncRNA colon cancer-associated transcript-1 (CCAT1) isolated from PANC-1 cells, in PC tumorigenesis via its regulatory effect on the miR-138-5p/HMGA1 axis (99). Tissues retrieved from cancer patients and normal healthy tissues were used to compare CCAT1 and miR-138-5p expression levels. Plasmids were used to alter CCAT1 and/or miR-138-5p expression in PANC-1 cells. Isolated exosomes from PANC-1 cells were co-cultured with HUVECs, and proliferation and apoptosis in both cells were assessed. Also, the angiogenesis function of HUVECs was examined in vitro and in vivo. CCAT1, miR-138-5p, and HMGA1 expression levels were measured, as well as their interactions. The qRT-PCR results demonstrated that CCAT1 and HMGA1 were upregulated, while miR-138-5p was downregulated in PC cells and tissues. CCAT1 knockdown suppressed proliferation while inducing apoptosis in PANC-1 cells. PANC-1 cell-derived exosomal CCAT1 significantly reduced the proliferation and increased the apoptosis in HUVECs. Downregulation of exosomal CCAT1 suppressed the angiogenic function of HUVECs both in cell culture and xenograft mouse models, while CCAT1 upregulation reversed these effects and promoted angiogenesis. Mechanistically, CCAT1 upregulated HMGA1 through sponging miR-138-5p. Interestingly, miR-138-5p overexpression reversed the promoting effects of CCAT1 on the angiogenic ability of HUVECs in vitro. Collectively, this study suggested that PANC-1 cell-derived exosomal CCAT1 promoted the angiogenic function of HUVECs via the miR-138-5p/HMGA1 axis (99).

Exosomal long non-coding RNAs and colorectal cancer

Colorectal cancer (CRC) is the third most common human malignancy and ranks as the fourth cause of cancer-related mortality around the globe (50, 188, 189). Although intensive investigations and some therapeutic advances have been made, still more than 50% of CRC patients do not survive, which is mainly due to late diagnosis and treatment (190). Therefore, early diagnosis could improve survival in CRC patients. The current diagnostic methods for CRC detection and screening, such as carcinoembryonic antigen (CEA) blood test and colonoscopy, are limited in their clinical application due to low diagnostic power, high costs, and invasive procedures producing discomfort (191, 192). Discovering the molecular mechanisms involved in the pathogenesis of CRC may help to develop novel biomarkers with improved potential for patient diagnosis (193). A number of lncRNAs are known to be involved in the underlying mechanisms responsible for the development and progression of CRC (194). Exosomal lncRNAs may also function as prognostic biomarkers in patients with CRC. For instance, a recent work has investigated the role of circulating exosomal lncRNAs as new CRC biomarkers and the function of lncRNAs in the development of CRC (123). They identified a new lncRNA, called ADAMTS9-AS1, which was downregulated in CRC tissues, while the data retrieved from the TCGA demonstrated that it was significantly associated with clinical outcomes. Moreover, ADAMTS9-AS1 suppressed the proliferation of SW1116 and HT29 cells, induced cell cycle arrest, and inhibited tumor growth in vivo. Accordingly, the in-silico analysis suggested that lncRNA-ADAMTS9-AS1 upregulation preferentially targeted genes associated with cell proliferation and migration. Exploring the involved mechanism of action, the authors found that ADAMTS9-AS1 downregulated β-catenin, indicating that the Wnt pathway was involved in the regulatory role of ADAMTS9-AS1 on gene expression to suppress CRC tumorigenesis. Exosomal ADAMTS9-AS1 was shown to have diagnostic potential in CRC with an area under the curve (AUC) of 0.835 and a 95% confidence interval of 0.777–0.911 in the receiver operating characteristic (ROC) curve. Collectively, this study suggested that ADAMTS9-AS1 could suppress tumorigenesis in CRC through negative regulation of the Wnt signaling pathway. Accordingly, targeting this lncRNA could have prognostic and therapeutic potential in CRC patients, while exosomal ADAMTS9-AS1 could be a novel diagnostic biomarker (123).

Numerous human cancers have been shown to express the lncRNA H19 in large quantities. Compared with normal fibroblasts (NFs), cancer-associated fibroblasts (CAFs) in CRC have higher levels of H19 expression. Researchers discovered that the exosomes produced by CAFs might transfer the lncRNA H19 to nearby cells and activate the Wnt/β-catenin signaling pathway in CRC cells, to promote carcinogenesis and cell growth (107). The expression of lncRNA-UCA1 was higher in CRC patient tissues and plasma exosomes. Mechanistically, UCA1 can act as a ceRNA by sponging miRNA-143, thereby controlling the expression of MYO6. Researchers found that after treatment of CRC patient-derived cells with exosomal UCA1, the miR-143 expression was decreased, while the MYO6 expression was increased, thus promoting the growth of CRC cells (120). Exosomes may encapsulate lnc HEIH, which can subsequently be delivered into normal GI cells to induce the production of EZH2 and promote carcinogenesis by increasing the methylation of the GSDME promoter (81). Together, these findings suggest that dysregulation of exosomal lncRNAs might serve as biomarkers for CRC patients.

Exosomal lncRNA UCA1 controls cell proliferation in addition to mediating chemoresistance in CRC. Cetuximab-resistant cells expressed considerably more UCA1 than cetuximab-sensitive cells. Further research revealed that exosomal transfer of UCA1 from cetuximab-resistant CRC cells could increase the cetuximab resistance of recipient cells (195). lncRNA CCAL can increase the oxaliplatin (Oxa) and 5-FU resistance of CRC cells, and CAF-derived exosomes could deliver CCAL to these cells (196).

The clinical potential of the lncRNA RPPH1 in CRC patients has been investigated in the study of Liang et al. (121). Their findings revealed that RPPH1 was upregulated in CRC tissues and was correlated with advanced TNM stage and poor survival in CRC patients. The experimental analysis demonstrated that RPPH1 promoted tumor metastasis in cell and xenograft animal studies. Mechanistically, RPPH1 induced the EMT of CRC cells via interacting with and preventing β-III tubulin (TUBB3) ubiquitination. According to studies, overexpression of TUBB3 was functionally linked to enhanced cell motility and invasion of EMT-induced cells (197, 198). Moreover, exosomal RPPH1 derived from CRC cells was found to be transported into macrophages to mediate M2 polarization in recipient cells and promoted the proliferation and metastasis of CRC cells. Additionally, detectable plasma levels of exosomal RPPH1 were higher in treatment-naive patients, while they were reduced after tumor resection. Interestingly, plasma exosomal RPPH1 showed better diagnostic power (AUC = 0.86) in CRC patients compared with the conventional tumor markers CEA and CA-19-9. Taken together, this study suggested that RPPH1 could be a novel biomarker with diagnostic and therapeutic potential in CRC patients (121).

MELK belongs to the AMP-activated protein kinase-related kinase (AMPK) family, which is known to regulate various biological processes, such as cell cycle, proliferation, apoptosis, and cancer development (199–201). In CRC, MELK expression was found to be significantly higher in tumor specimens compared with healthy tissue and may contribute to cell cycle progression and cancer development (202). Exosomal lncRNAs have been reported to directly or indirectly control MELK expression levels in CRC (203). Zhao et al. reported that serum exosomal LINC02418 could be used as a potential diagnostic biomarker for CRC patients (118). They found that LINC02418 was upregulated both in cell lines and CRC tissues. Mechanistically, LINC02418 upregulated MELK via sponging miR-1273g-3p and acted as a ceRNA. Additionally, the diagnostic performance of cell-free LINC02418 and exosomal LINC02418 according to ROC and AUC curves revealed that exosomal LINC02418 could distinguish CRC patients from healthy individuals (AUC = 0.8978, 95% confidence interval = 0.8644–0.9351) with better performance compared with cell-free LINC02418 (AUC = 0.6784, 95% confidence interval = 0.6116–0.7452). Taken together, these findings demonstrated that LINC02418 was upregulated in CRC and played a role in CRC tumorigenesis via the miR-1273g-3p/MELK axis (118).

Natural killer (NK) cells are a substantial component of the immune system, which act as a surveillance system against tumors by eradicating cancer cells by direct killing or indirectly by secreting cytokines following their activation (204). NK cells can also inhibit tumor growth and metastasis. Some exosomal non-coding RNAs modulate the activity of NK cells (205). For instance, hepatocellular carcinoma (HCC) cell-derived exosomal circUHRF1 was demonstrated to induce NK cell exhaustion and reduce tumor infiltration by NK cells (206). Recently, a study has explored the mechanism involved in the exosome-mediated immune escape of CRC cells from attack by NK cells by transferring lncRNA cargoes (114). To establish an EMT model of SW480 cells, transforming growth factor beta (TGF-β) was used, and then the effect of the EMT-derived exosomes (EMT-exo) on the activity of NK cells was investigated. RNA sequencing was employed to identify the exosomal lncRNAs and target genes. The effect of exosomal lncRNAs on the proliferation of CRC tumors was confirmed in vivo. The results demonstrated that EMT-exo inhibited several characteristic functions of NK cells, including cell growth, cytotoxic activity, and IFN-γ production, as well as perforin-1 and granzyme B release. RNA sequencing also demonstrated the upregulation of lncRNA SNHG10 in EMT-exo relative to non-EMT-exo. Furthermore, SNHG10 was also upregulated in tumor tissues and was correlated with poor survival of CRC patients. Exosomal SNHG10 overexpression (oe-lnc-SNHG10 exo) inhibited NK cell viability and cytotoxicity. NK cell RNA sequencing showed upregulation of 114 genes in the oe-lnc-SNHG10 exo group, including the inhibin subunit beta C (INHBC), which plays a role in TGF-β signaling. INHBC knockdown reversed the effect of oe-lnc-SNHG10 exo on NK cells. oe-lnc-SNHG10 exo increased tumor growth through upregulation of INHBC in vivo, while it reduced the expression of perforin, granzyme B, and NK1.1 in cancer tissues. Collectively, this study showed that CRC cell-derived exosomal SNHG10 inhibited the antitumor activity of NK cells through upregulation of INHBC, suggesting that exosomal lncRNAs can help immune escape by suppressing NK cells and could be a potential therapeutic strategy for CRC (114).

The programmed death receptor 1 (PD-1) has been reported in several studies to mediate resistance to immune attack in cancer (207–209). The programmed death ligand 1 (PD-L1)/ubiquitin-specific protease 22 (USP22) axis has been found to control tumor immune escape (210–212). USP22 is considered to be an oncogene and can enhance the stability of substrate proteins through the inhibition of proteasomal degradation (213). PD-L1 was stabilized due to USP22 interactions. USP22 prevented PD- L1 proteasome degradation and led to its deubiquitination (211). It was discovered that exosomal lncRNA inhibited USP22 to facilitate PD-L1 ubiquitination (113). In this regard, the potential mechanistic involvement of lncRNA KCNQ1OT1 in tumor immune escape has been explored (113). Differentially expressed lncRNA and miRNAs were identified in healthy and tumor tissue samples using the GEO database and microarray analysis. RT-qPCR was employed to measure KCNQ1OT1, miR-30a-5p, USP22 as an oncogene, and PD-L1 expression levels. The interaction between KCNQ1OT1 and miR-30a-5p was confirmed by a dual-luciferase reporter assay and ribonucleoprotein immunoprecipitation (RIP) assay. Cell Counting Kit (CCK)-8, colony formation, scratch wound healing, and apoptosis assay were employed to assess tumor cell functions following treatment. The effect of USP22 on PD-L1 ubiquitination was studied by protein half-life assay and ubiquitination measurement. Finally, the effects of treatment on tumor growth and immune escape were explored in BALB/c mice and BALB/c nude mice. The results showed that KCNQ1OT1 was upregulated in tumor tissues and cancer cell-derived exosomes. KCNQ1OT1 overexpression promoted the malignant behavior of cancer cells due to the autocrine effect of cancer cell-derived exosomes. In turn, these exosomes mediated their effects through the miR-30a-5p/USP22 axis to modulate PD-L1 ubiquitination and suppress CD8⁺ T-cell responses, which eventually contributed to CRC development. Overall, this study found that KCNQ1OT1 was transferred by cancer cell-derived exosomes to regulate PD-L1 ubiquitination through the miR-30a-5p/USP22 axis to enhance CRC immune escape (113).

Exosomal long non-coding RNAs and esophageal cancer

Esophageal squamous cell carcinoma (ESCC) is among the most aggressive malignancies, with a 5-year survival rate of only 15%–25% (214). ESCC patients often are diagnosed only at advanced stages and are resistant to conventional therapeutic regimens (50). Concurrent chemoradiotherapy (CCRT) is considered to be the standard therapy for these patients (215). A combination of cisplatin-based chemotherapy and radiotherapy (RT) has been shown in several randomized clinical trials to improve the 5-year survival rate in ESCC patients compared with those treated with RT alone (216). Although overall survival has been improved in patients receiving CCRT, cisplatin resistance often develops in patients with locally advanced cancer and is the main problem in the treatment of these patients (217). Exosomal lncRNAs have been reported in a number of studies to directly or indirectly participate in ESCC development and progression (133, 135, 218).

Fascin1 (FSCN1) is a member of the Fascin family and is involved in various biological processes like cell migration, motility, adhesion, and intercellular interaction (219). FSCN1 is differentially expressed in cancer cells, where it organizes actin filaments into pseudopodia and enhances ECM degradation by matrix metalloprotease (MMPs) and, therefore, contributes to the malignant phenotype and development and progression of tumors (220). The regulatory relationship between exosomal lncRNAs and cancer cell malignancy by regulating FSCN1 has been demonstrated (139). In this study, they investigated the potential effect of exosomal lncRNA LINC01711 on the treatment and prognosis of ESCC. Their results demonstrated that LINC01711 was upregulated in ESCC tissues, while its expression levels were associated with poor survival in patients (139). LINC01711 knockdown was shown to suppress the malignant phenotype of ESCC cells, while it also induced apoptosis. Mechanistically, LINC01711 sponged miR-326 to upregulate its target gene fascin actin-bundling protein 1 (FSCN1). Moreover, xenograft animal studies demonstrated that exosomal LINC01711 (LINC01711-Exo) promoted tumor growth in vivo. Overall, exosomal LINC01711 enhanced the proliferation, migration, and invasion of ESCC cells through the miR-326/FSCN1 axis and, therefore, promoted ESCC development and progression (139).

The uncontrolled proliferation of cancer cells is the first step in tumor development. Exosomal lncRNAs have been discovered to facilitate this process in the tumor microenvironment (21). For instance, lncRNA ZFAS1 was higher in cancer tissues and could be transmitted between cancer cells via exosomes in ESCC. ZFAS1 was knocked down to explore its potential role in the malignant phenotype of ESCC cells. The expression of exosomal lncRNA ZFAS1 and the underlying mechanism involved in ESCC progression has been examined (133). A stable donor and recipient cell culture model was established. ZFAS1 silencing and overexpression, in addition to miR-124 inhibition experiments, were conducted to study their effects on cell proliferation, migration, and invasion and exosome trafficking in Eca109 cells. The in- vitro findings were confirmed by in- vivo experiments. The results demonstrated that ZFAS1 was upregulated and miR-124 was downregulated in ESCC tissues. ZFAS1 knockdown inhibited the proliferation, migration, invasion, while it increased the apoptosis in ESCC cells. Mechanistically, ZFAS1 acted by sponging miR-124 to upregulate STAT3. Exosomal ZFAS1 also was found to promote the malignant phenotype in ESCC cells, while it suppressed apoptosis and caused the same changes in STAT3 and miR-124 expression levels as seen for ZFAS1 overexpression. Additionally, exosomal ZFAS1 showed the same effect on tumor growth in vivo. Taken together, this study demonstrated that exosomal ZFAS1 promoted the malignant phenotype of ESCC cells through the miR-124/STAT3 axis and, thus, could contribute to ESCC development (133).

The tumor microenvironment (TME) has been found to play a substantial role in the development and progression of ESCC, similar to other cancers. In ESCC patients, the presence of fibroblast activation protein (FAP)-positive CAFs in the tumor stroma was reported to correlate with lymph node metastasis and poor prognosis (221). Studies have shown that adjacent NFs promote the recruitment and activation of CAFs (222, 223). However, CAFs have a greater potential to promote proliferation, invasion, and chemoresistance in various cancers compared with NFs (107, 224). Additionally, a number of studies have reported that CAFs can confer chemoresistance in cancer cells by releasing soluble factors such as interleukin-6 (IL-6), IL-11, hepatocyte growth factor (HGF), and TGF-β (225–228). The role of ESCC-derived exosomal lncRNAs in fibroblast activation, cancer progression, and cisplatin resistance has been shown (135). The results demonstrated that cancer cell-derived exosomal lncRNAs may contribute to cisplatin resistance in ESCC by transforming NFs into CAFs. Tumor tissues and normal esophageal epithelial tissues isolated from ESCC patients were used for the isolation of primary CAFs and matched NFs. Tong et al. investigated exosomal lncRNA transport between ESCC cells and NFs using fluorescence microscopy and qRT-PCR. To identify the lncRNAs involved in the process, the expression of 14 ESCC-related transcripts was analyzed in NFs following treatment with ESCC cell-derived exosomes. Their results revealed the transport of lncRNA POU3F3 from ESCC cells to NFs via exosomes and that exosomal POU3F3 contributed to fibroblast activation. In turn, activated fibroblasts enhanced the growth and cisplatin resistance of ESCC cells by secretion of IL-6. Furthermore, evaluation of POU3F3 expression in ESCC patients demonstrated a significant association between exosomal POU3F3 expression levels in plasma and the lack of complete responses and poor prognosis in ESCC patients. Overall, the findings in this study showed that exosomal POU3F3 promoted cisplatin resistance in ESCC, mediated via the transportation of exosomal POU3F3 from NFs to CAFs contributing to their transformation (135).

In another study, researchers investigated the effect of M2 macrophage-derived exosomes on the invasion and metastasis of esophageal cancer (EC) cells via the AFAP1-AS1/miR-26a/ATF2 axis (137). Their results showed that lncRNA AFAP1-AS1 targeted miRNA miR-26a to upregulate activating transcription factor 2 (ATF2). Moreover, they showed that AFAP1-AS1 and ATF2 were both upregulated, while miR-26a was downregulated in M2 macrophage-derived exosomes. These exosomes were able to transfer AFAP1-AS1 into EC cells in order to sponge miR-26a and then upregulate ATF2, to enhance the invasion and metastasis of EC (Figure 5). Taken together, they concluded that targeting M2 macrophages and the AFAP1-AS1/miR-26a/ATF2 axis may be a novel strategy for the treatment of EC (137).

Figure 5

Exosomal long non-coding RNAs and oral cancer

Oral cancer arises in the lips or oral cavity. Most oral tumors originate from the squamous cells lining the organs called oral squamous cell carcinoma (OSCC) (229). Oral cancer tissues histologically can have various levels of differentiation and often show a tendency for metastasis to lymph nodes (230). Globally, oral and pharyngeal malignancies collectively are the sixth most commonly diagnosed types of cancer (231). Similar to other types of GI cancer, exosomal lncRNAs have been found to play a role in the development and progression of oral cancer (232).

lncRNAs can act either as tumor-suppressor genes or as tumor promoters or oncogenes. However, the development and spread of cancer is a multistep process that entails mutual autocrine–paracrine communications (e.g., controlled via secreted proteins or exosomes) between tumor cells and the nearby stromal cells (233, 234). CAFs are the most significant infiltrating non-immune cells within the stroma and promote tumor growth and metastasis in a paracrine manner (235). Other cell types such as bone marrow-derived mesenchymal stem cells, tissue adipocytes, circulating fibrocytes, and endothelial cells can also develop fibroblast markers during cancer progression and other inflammatory environments. However, CAFs are primarily produced from and activated by NFs. The roles of lncRNAs in CAFs are still not fully understood. The TME is a significant source of CAFs and can reprogram NFs so they can become protumorigenic CAFs (236–241). Therefore, it is necessary to understand how the stromal microenvironment affects CAF transformation. In this context, the exosomal lncRNA signature in stromal fibroblasts (NFs/CAFs) in OSCC was explored, including how the lncRNA profile changes during the NF/CAF transition (146). Ding et al. measured lncRNA expression levels in stromal fibroblasts and studied how they interacted with target miRNAs (146). RNA sequencing revealed a specific stromal lncRNA signature during the transformation of NFs into CAFs in OSCC tissues. Among them, a previously uncharacterized lncRNA was identified called FLJ22447, also known as LncRNA-CAF, which was significantly upregulated in CAFs. Interleukin-33 (IL-33) was mainly detected in the stromal space, where it showed a positive co-expression with Lnc-CAF to upregulate α-SMA, vimentin, and N-cadherin, which are CAF markers in fibroblasts. IL-33 silencing inhibited Lnc-CAF-mediated activation of stromal fibroblast and contributed to reduced proliferation of cancer cells. Mechanistically, Lnc-CAF increased IL-33 expression through inhibition of the p62-dependent autophagy–lysosome pathway without involving an lncRNA–protein complex. Autophagy induction using rapamycin suppressed the enhancing effect of Lnc-CAF/IL-33 on cell proliferation by promoting IL-33 degradation. Subsequently, the cancer cells further upregulated Lnc-CAF expression in stromal fibroblasts via exosomal transport. Clinical data demonstrated that high levels of Lnc-CAF/IL-33 in OSCC patients were correlated with advanced TNM stage and poor survival. Moreover, Lnc-CAF silencing suppressed tumor growth in vivo as shown by reduced Ki-67 expression and fewer stromal α-SMA- positive CAFs. Taken together, Ding et al. reported a stromal lncRNA signature with a role in the promotion of OSCC progression by transforming NFs into CAFs via exosomal Lnc-CAF/IL-33 transport (146).

Exosomal long non-coding RNAs and hepatocellular carcinoma

Liver cancer accounts for the seventh most common human malignancy and the second deadliest. HCC is the most commonly diagnosed type of liver cancer, with a decreasing incidence in Asia and Italy, but an increasing pattern in the United States, European countries, and India (242). Chronic viral infections including hepatitis B virus (HBV) and hepatitis C virus (HCV) (243), along with non-infectious causes such as alcoholism, non-alcoholic fatty liver disease (NAFLD), and aflatoxin B1 consumption, are the main risk factors for HCC (244). Mechanistically, underlying factors have been identified to cause damage to the DNA, epigenetic changes, and development of some mutations related to the inactivation of tumor suppressor genes like tumor protein p53 (TP53), cadherin 1 (CDH1), and the Ras association domain family member 1 (RASSF1). Moreover, activation of proto-oncogenes such as MYC, VEGFA, and MAPK7 can lead to HCC progression (245–248). A number of studies have reported the role of exosomal lncRNAs in the development and progression of HCC (150, 158, 167, 249).

DLX6 antisense RNA 1 (DLX6-AS1) is an oncogenic lncRNA with a known function in the development and progression of various human malignancies like HCC (250). Wang et al. investigated the involvement and underlying molecular mechanism of exosomal DLX6-AS1 in HCC (160). The expression levels of DLX6-AS1, miR-15a-5p, and CXCL17 were measured in HCC cells and tissues. DLX6-AS1-overexpressing exosomes were isolated from HCC tissues and then co-cultured with M2 macrophages. MiR-15a-5p and CXCL17 silencing studies were conducted in macrophages. M2 macrophages were then co-cultured with HCC cells to assess the effect of exosomal DLX6-AS1-mediated macrophage polarization on the malignant phenotype of cancer cells in vitro and tumor metastasis in vivo. Next, DLX6-AS1/miR-15a-5p and miR-15a-5p/CXCL17 interactions were explored. The results demonstrated the upregulation of DLX6-AS1 and CXCL17, while miR-15a-5p was downregulated in HCC cells. HCC-exo positively regulated M2 macrophage polarization to promote migration, invasion, and EMT in HCC cells. These effects were enhanced by overexpression of DLX6-AS1; accordingly, DLX6-AS1 knockdown reversed these cellular properties. Furthermore, miR-15a-5p targeting enhanced M2 macrophage polarization and further promoted the invasion and metastasis of HCC. However, inhibition of the C-X-C motif chemokine 17 (CXCL-17) showed the opposite effects. It is known that in HCC, CXCL17 correlates with poor prognosis and low immune infiltration (251). CXCL17 is highly expressed in HCC tissues, and its overexpression promoted the migration and invasion of HCC cells, while its knockdown reversed these effects (252). Mechanistically, DLX6-AS1 was found to sponge miR-15a-5p and to upregulate CXCL17. Moreover, in-vivo results revealed that HCC cell-derived exosomal DLX6-AS1 enhanced lung metastasis through induction of M2 macrophage polarization. Overall, HCC cell-derived exosomal DLX6-AS1 regulated CXCL17 by sponging miR-15a-5p and, consequently, induced M2 macrophage polarization, which eventually promoted the migration, invasion, and EMT of HCC (160).

The Yes-associated protein 1 (YAP1) is a major protein functioning in the Hippo signaling pathway and regulates several biological processes like tissue regeneration, morphological characteristics, metabolism, and carcinogenesis, in addition to affecting intercellular communication, cell cycle surveillance, cell signaling, and cytoskeletal remodeling (253–257). Despite the fact that YAP1 has no direct DNA-binding activity, it is a known transcriptional co-activator, which regulates gene expression by interacting with other transcription factors. YAP1 can show dual functions in tumorigenesis, either as an oncogene contributing to tumor development or as a tumor- suppressor gene suppressing carcinogenesis. These contradictory effects depend on the precise transcription factor to which YAP1 binds and also on its subcellular localization (258). YAP1 has been reported to be highly expressed in blood vessels in HCC tissues, which suggests that YAP1 may play a role in angiogenesis (259). Nevertheless, the molecular mechanism by which YAP1 affects angiogenesis is not known and requires further investigation. YAP1 has been reported to be involved in regulating the expression of lncRNAs (260). Recently, researchers explored the potential role of YAP1 in exosomal lncRNA-mediated angiogenesis in HCC (161). They showed that YAP1 knockdown suppressed the proliferation and tube formation in vascular endothelial cells, suggesting that it could be a target for anti-angiogenesis therapy. YAP1 knockdown or inhibition also enhanced the release of the lncRNA MALAT1-loaded exosomes into the TME. When these exosomes were co-cultured with HCC cells, their invasion and migration were increased, which was found to be due to the activation of the extracellular signal-regulated kinase 1/2 (ERK1/2) signaling pathway. This study shed light on the underlying mechanism and novel pathways involving YAP1 in the development of distant tumor metastasis in anti-angiogenesis regimens and suggested novel targets to improve the long-term effectiveness of anti-angiogenesis treatment (161).

In a study by Li et al. (150), the authors reported that exosomal lncRNA TUC339 derived from HCC cells could regulate the activation and polarization of macrophages (150). Their findings showed high levels of the lncRNA TUC339 within HCC exosomes which could be transferred to THP-1 macrophage cells. TUC339 silencing increased pro-inflammatory cytokines, elevated the expression of co-stimulatory molecules, and increased phagocytosis in THP-1 cells, while its overexpression showed the opposite effects, indicating the role of TUC339 in regulating macrophage polarization. Furthermore, increased expression levels of TUC339 were detected in M2 macrophages compared with the M1 phenotype, while TUC339 was downregulated during the M2-to-M1 repolarization and vice versa. Accordingly, TUC339 silencing in IL-4-treated macrophages reduced the expression of M2 markers, while TUC339 overexpression in IFN-γ + LPS-treated macrophages enhanced these markers. These findings suggest that lncRNA TUC339 plays an essential role in regulating M1/M2 polarization in macrophages. Microarray analysis revealed that a variety of biological processes like cytokine–cytokine receptor interactions, CXCR chemokine receptor binding, Toll-like receptor (TLR) signaling, FcγR-mediated phagocytosis, cytoskeleton arrangement, and cell growth were associated with TUC339 expression in macrophages. Overall, this study revealed undiscovered regulatory functions of lncRNA TUC339 loaded into HCC cell-derived exosomes on the macrophage phenotype, in addition to complex interactions between cancer cells and immune cells via exosomal lncRNAs (150).

CD90 (Thy-1) is a GPI-anchored protein of 25– 37 kDa molecular weight, which is expressed and incorporated into the cell membrane of various cells, such as T lymphocytes, neurons, endothelial cells, and fibroblasts. CD90 has been found to play a role in intercellular interactions, cell–matrix interactions, apoptosis, cell adhesion, migration, fibrosis, and tumorigenesis (261). CD90 expression has been found to be elevated in hepatic stem/progenitor cells (262) and was associated with the malignant and differentiated phenotype of HCC cells in tumors (263) and a poor survival rate in HCC patients (264–266). Additionally, CD90⁺ HepG2 cells have shown aberrant expression of pro- and anti-apoptotic genes compared with CD90 ⁻ HepG2 cells (267). Recently, the exosome-mediated interactions of CD90⁺ HCC cells with endothelial cells have been investigated (151). Isolation and characterization of exosomes were conducted for both liver CD90⁺ cells and HCC cell lines. Isolated exosomes were used for the treatment of endothelial cells, which also were transfected with a plasmid encoding lncRNA H19. Then, the endothelial phenotype in treated cells was assessed using molecular and functional studies. The results revealed that the CD90⁺ cancer cell-derived exosomes affected the phenotype of endothelial cells to promote angiogenesis and intercellular adhesion. However, these effects were not seen for parental HCC cell lines. lncRNA profiling showed high expression of H19 in CD90⁺ cells, which was released inside exosomes. H19 silencing and overexpression demonstrated that H19 was involved in regulating the phenotype of endothelial cells through exosomes. Overall, these findings suggested a novel mechanism of action mediated by exosomes by which CSC-like CD90⁺ cells can affect the surrounding TME by enhancing angiogenesis. Additionally, the lncRNA H19 could be a potential therapeutic target in HCC (151).

Conclusion

Exosomal lncRNAs are extremely important in many cancer-related processes, such as cell growth, metastasis, angiogenesis, immunomodulation, and drug resistance. Exosomal lncRNAs carry primary biological information that can be extracted to help understand, diagnose, and treat GI cancers. Exosomal lncRNAs can serve as possible cancer biomarkers since their levels often correlate with the disease severity in cancer patients. Exosomal lncRNAs, an emerging class of cancer biomarkers, have advantages over conventional markers. Exosomal lncRNAs can be employed as therapy targets in addition to helping with GI cancer diagnosis and prognosis. Exosomal lncRNAs are involved in the development of GI cancer and drug resistance; therefore, drugs which block their activity may be helpful in the treatment of cancer. However, even in recent studies, the importance of exosomal lncRNAs in GI cancer is only poorly understood. Exosomal lncRNAs are predicted to become more significant in the clinical management of GI cancer as further preclinical investigation progresses.

References

• 1

  ArnoldMAbnetCCNealeREVignatJGiovannucciELMcGlynnKAet al. Global burden of 5 major types of gastrointestinal cancer. Gastroenterology (2020) 159(1):335–49.e15. doi: 10.1053/j.gastro.2020.02.068

  • CrossRef
  • Google Scholar

• 2

  RoshaniMJafariALoghmanASheidaAHTaghaviTTamehri ZadehSSet al. Applications of resveratrol in the treatment of gastrointestinal cancer. BioMed Pharmacother (2022) 153:113274. doi: 10.1016/j.biopha.2022.113274

  • CrossRef
  • Google Scholar

• 3

  LuoMLiL. Clinical utility of miniprobe endoscopic ultrasonography for prediction of invasion depth of early gastric cancer: A meta-analysis of diagnostic test from PRISMA guideline. Medicine (2019) 98(6). doi: 10.1097/MD.0000000000014430

  • CrossRef
  • Google Scholar

• 4

  KangFJiangFOuyangLWuSFuCLiuYet al. Potential biological roles of exosomal long non-coding RNAs in gastrointestinal cancer. Front Cell Dev Biol (2022) 840. doi: 10.3389/fcell.2022.886191

  • CrossRef
  • Google Scholar

• 5

  ChenBDragomirMPYangCLiQHorstDCalinGA. Targeting non-coding RNAs to overcome cancer therapy resistance. Signal Transduct Target Ther (2022) 7(1):1–20. doi: 10.1038/s41392-022-00975-3

  • CrossRef
  • Google Scholar

• 6

  KalluriRLeBleuVS. The biology, function, and biomedical applications of exosomes. Science (2020) 367(6478):eaau6977. doi: 10.1126/science.aau6977

  • CrossRef
  • Google Scholar

• 7

  JohnstoneRMAdamMHammondJOrrLTurbideC. Vesicle formation during reticulocyte maturation. association of plasma membrane activities with released vesicles (exosomes). J Biol Chem (1987) 262(19):9412–20.

  • Google Scholar

• 8

  RaposoGNijmanHWStoorvogelWLiejendekkerRHardingCVMeliefCet al. B lymphocytes secrete antigen-presenting vesicles. J Exp Med (1996) 183(3):1161–72. doi: 10.1084/jem.183.3.1161

  • CrossRef
  • Google Scholar

• 9

  ValadiHEkströmKBossiosASjöstrandMLeeJJLötvallJO. Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol (2007) 9(6):654–9. doi: 10.1038/ncb1596

  • CrossRef
  • Google Scholar

• 10

  RaposoGStoorvogelW. Extracellular vesicles: exosomes, microvesicles, and friends. J Cell Biol (2013) 200(4):373–83. doi: 10.1083/jcb.201211138

  • CrossRef
  • Google Scholar

• 11

  ScavoMPDepaloNTutinoVDe NunzioVIngrossoCRizziFet al. Exosomes for diagnosis and therapy in gastrointestinal cancers. Int J Mol Sci (2020) 21(1):367. doi: 10.3390/ijms21010367

  • CrossRef
  • Google Scholar

• 12

  RahbariMRahbariNReissfelderCWeitzJKahlertC. Exosomes: novel implications in diagnosis and treatment of gastrointestinal cancer. Langenbeck’s Arch Surg (2016) 401(8):1097–110. doi: 10.1007/s00423-016-1468-2

  • CrossRef
  • Google Scholar

• 13

  RamliSSimMSGuadRMGopinathSCBSubramaniyanVFuloriaSet al. Long noncoding RNA UCA1 in gastrointestinal cancers: Molecular regulatory roles and patterns, mechanisms, and interactions. J Oncol (2021) 2021:5519720. doi: 10.1155/2021/5519720

  • CrossRef
  • Google Scholar

• 14

  HamidUZSimMSGuadRMSubramaniyanVSekarMFuloriaNKet al. Molecular regulatory roles of long non-coding RNA HOTTIP: An overview in gastrointestinal cancers. Curr Mol Med (2022) 22(6):478–90. doi: 10.2174/1566524021666210806162848

  • CrossRef
  • Google Scholar

• 15

  SonSWYunBDSongMGLeeJKChoiSYKuhHJet al. The hypoxia-long noncoding RNA interaction in solid cancers. Int J Mol Sci (2021) 22(14):7261. doi: 10.3390/ijms22147261

  • CrossRef
  • Google Scholar

• 16

  SonSWSongMGYunBDParkJK. Noncoding RNAs associated with therapeutic resistance in pancreatic cancer. Biomedicines (2021) 9(3):263.

  • Google Scholar

• 17

  NajafiSKhatamiSHKhorsandMJamaliZShabaninejadZMoazamfardMet al. Long non-coding RNAs (lncRNAs); roles in tumorigenesis and potentials as biomarkers in cancer diagnosis. Exp Cell Res (2022) 113294.

  • Google Scholar

• 18

  PanJFangSTianHZhouCZhaoXTianHet al. lncRNA JPX/miR-33a-5p/Twist1 axis regulates tumorigenesis and metastasis of lung cancer by activating wnt/β-catenin signaling. Mol Cancer (2020) 19(1):9.

  • Google Scholar

• 19

  ZhangXWangW. Mechanisms and functions of long non-coding RNAs at multiple regulatory levels. Int J Mol Sci (2019) 20(22):5573.

  • Google Scholar

• 20

  NajafiSGhafouri-FardSHussenBMJamalHHTaheriMHallajnejadM. Oncogenic roles of small nucleolar RNA host gene 7 (SNHG7) long noncoding RNA in human cancers and potentials. Front Cell Dev Biol (2022) 9:809345–.

  • Google Scholar

• 21

  ZhangWWangQYangYZhouSZhangPFengT. The role of exosomal lncRNAs in cancer biology and clinical management. Exp Mol Med (2021) 53(11):1669–73. doi: 10.1038/s12276-021-00699-4

  • CrossRef
  • Google Scholar

• 22

  ChenSZhuJWangFGuanZGeYYangXet al. LncRNAs and their role in cancer stem cells. Oncotarget (2017) 8(66):110685. doi: 10.18632/oncotarget.22161

  • CrossRef
  • Google Scholar

• 23

  LuoYOuyangJZhouDZhongSWenMOuWet al. Long noncoding RNA GAPLINC promotes cells migration and invasion in colorectal cancer cell by regulating miR-34a/c-MET signal pathway. Digest Dis Sci (2018) 63(4):890–9. doi: 10.1007/s10620-018-4915-9

  • CrossRef
  • Google Scholar

• 24

  ZhengYYangCTongSDingYDengWSongDet al. Genetic variation of long non-coding RNA TINCR contribute to the susceptibility and progression of colorectal cancer. Oncotarget (2017) 8(20):33536. doi: 10.18632/oncotarget.16538

  • CrossRef
  • Google Scholar

• 25

  SunWYangYXuCXieYGuoJ. Roles of long noncoding RNAs in gastric cancer and their clinical applications. J Cancer Res Clin Oncol (2016) 142(11):2231–7. doi: 10.1007/s00432-016-2183-7

  • CrossRef
  • Google Scholar

• 26

  Sanchez CalleAKawamuraYYamamotoYTakeshitaFOchiyaT. Emerging roles of long non-coding RNA in cancer. Cancer Sci (2018) 109(7):2093–100. doi: 10.1111/cas.13642

  • CrossRef
  • Google Scholar

• 27

  JinLHeYTangSHuangS. LncRNA GHET1 predicts poor prognosis in hepatocellular carcinoma and promotes cell proliferation by silencing KLF2. J Cell Physiol (2018) 233(6):4726–34. doi: 10.1002/jcp.26257

  • CrossRef
  • Google Scholar

• 28

  BalasMMJohnsonAM. Exploring the mechanisms behind long noncoding RNAs and cancer. Non Coding RNA Res (2018) 3(3):108–17. doi: 10.1016/j.ncrna.2018.03.001

  • CrossRef
  • Google Scholar

• 29

  WuKZhangNMaJHuangJChenJWangLet al. Long noncoding RNA FAL1 promotes proliferation and inhibits apoptosis of human colon cancer cells. IUBMB Life (2018) 70(11):1093–100. doi: 10.1002/iub.1880

  • CrossRef
  • Google Scholar

• 30

  AdriaensCMarineJ-C. NEAT1-containing paraspeckles: Central hubs in stress response and tumor formation. Cell Cycle (2017) 16(2):137–8. doi: 10.1080/15384101.2016.1235847

  • CrossRef
  • Google Scholar

• 31

  MinciacchiVRFreemanMRDi VizioD. Extracellular vesicles in cancer: exosomes, microvesicles and the emerging role of large oncosomes. Semin Cell Dev Biol (2015) 40:41–51. doi: 10.1016/j.semcdb.2015.02.010

  • CrossRef
  • Google Scholar

• 32

  SahuRKaushikSClementCCCannizzoESScharfBFollenziAet al. Microautophagy of cytosolic proteins by late endosomes. Dev Cell (2011) 20(1):131–9. doi: 10.1016/j.devcel.2010.12.003

  • CrossRef
  • Google Scholar

• 33

  RecordM. Intercellular communication by exosomes in placenta: a possible role in cell fusion? Placenta (2014) 35(5):297–302. doi: 10.1016/j.placenta.2014.02.009

  • CrossRef
  • Google Scholar

• 34

  WuYDengWKlinkeDJ2nd. Exosomes: improved methods to characterize their morphology, RNA content, and surface protein biomarkers. Analyst (2015) 140(19):6631–42. doi: 10.1039/C5AN00688K

  • CrossRef
  • Google Scholar

• 35

  ThéryCZitvogelLAmigorenaS. Exosomes: composition, biogenesis and function. Nat Rev Immunol (2002) 2(8):569–79. doi: 10.1038/nri855

  • CrossRef
  • Google Scholar

• 36

  RecordMCarayonKPoirotMSilvente-PoirotS. Exosomes as new vesicular lipid transporters involved in cell-cell communication and various pathophysiologies. Biochim Biophys Acta (2014) 1841(1):108–20. doi: 10.1016/j.bbalip.2013.10.004

  • CrossRef
  • Google Scholar

• 37

  SimonsMRaposoG. Exosomes–vesicular carriers for intercellular communication. Curr Opin Cell Biol (2009) 21(4):575–81. doi: 10.1016/j.ceb.2009.03.007

  • CrossRef
  • Google Scholar

• 38

  YellonDMDavidsonSM. Exosomes: nanoparticles involved in cardioprotection? Circ Res (2014) 114(2):325–32. doi: 10.1161/CIRCRESAHA.113.300636

  • CrossRef
  • Google Scholar

• 39

  BobrieAColomboMRaposoGThéryC. Exosome secretion: molecular mechanisms and roles in immune responses. Traffic (2011) 12(12):1659–68. doi: 10.1111/j.1600-0854.2011.01225.x

  • CrossRef
  • Google Scholar

• 40

  ZakharovaLSvetlovaMFominaAF. T Cell exosomes induce cholesterol accumulation in human monocytes via phosphatidylserine receptor. J Cell Physiol (2007) 212(1):174–81. doi: 10.1002/jcp.21013

  • CrossRef
  • Google Scholar

• 41

  KowalJTkachMThéryC. Biogenesis and secretion of exosomes. Curr Opin Cell Biol (2014) 29:116–25. doi: 10.1016/j.ceb.2014.05.004

  • CrossRef
  • Google Scholar

• 42

  HenneWMBuchkovichNJEmrSD. The ESCRT pathway. Dev Cell (2011) 21(1):77–91. doi: 10.1016/j.devcel.2011.05.015

  • CrossRef
  • Google Scholar

• 43

  McGoughIJVincentJP. Exosomes in developmental signalling. Development (2016) 143(14):2482–93. doi: 10.1242/dev.126516

  • CrossRef
  • Google Scholar

• 44

  BaiettiMFZhangZMortierEMelchiorADegeestGGeeraertsAet al. Syndecan-syntenin-ALIX regulates the biogenesis of exosomes. Nat Cell Biol (2012) 14(7):677–85. doi: 10.1038/ncb2502

  • CrossRef
  • Google Scholar

• 45

  CastroBMPrietoMSilvaLC. Ceramide: a simple sphingolipid with unique biophysical properties. Prog Lipid Res (2014) 54:53–67. doi: 10.1016/j.plipres.2014.01.004

  • CrossRef
  • Google Scholar

• 46

  MadisonMNOkeomaCM. Exosomes: Implications in HIV-1 pathogenesis. Viruses (2015) 7(7):4093–118. doi: 10.3390/v7072810

  • CrossRef
  • Google Scholar

• 47

  XuWZengSLiMFanZZhouB. Aggf1 attenuates hepatic inflammation and activation of hepatic stellate cells by repressing Ccl2 transcription. J Biomed Res (2016) 31(1):1–9.

  • Google Scholar

• 48

  van der PolEBöingANHarrisonPSturkANieuwlandR. Classification, functions, and clinical relevance of extracellular vesicles. Pharmacol Rev (2012) 64(3):676–705. doi: 10.1124/pr.112.005983

  • CrossRef
  • Google Scholar

• 49

  KimYSAhnJSKimSKimHJKimSHKangJS. The potential theragnostic (diagnostic+therapeutic) application of exosomes in diverse biomedical fields. Korean J Physiol Pharmacol: Off J Korean Physiol Soc Korean Soc Pharmacol (2018) 22(2):113–25. doi: 10.4196/kjpp.2018.22.2.113

  • CrossRef
  • Google Scholar

• 50

  BrayFFerlayJSoerjomataramISiegelRLTorreLAJemalA. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin (2018) 68(6):394–424. doi: 10.3322/caac.21492

  • CrossRef
  • Google Scholar

• 51

  AichlerMLuberBLordickFWalchA. Proteomic and metabolic prediction of response to therapy in gastric cancer. World J Gastroenterol (2014) 20(38):13648–57. doi: 10.3748/wjg.v20.i38.13648

  • CrossRef
  • Google Scholar

• 52

  BarretoSGWindsorJA. Redefining early gastric cancer. Surg Endosc (2016) 30(1):24–37. doi: 10.1007/s00464-015-4184-z

  • CrossRef
  • Google Scholar

• 53

  ChoiJHKimESLeeYJChoKBParkKSJangBKet al. Comparison of quality of life and worry of cancer recurrence between endoscopic and surgical treatment for early gastric cancer. Gastrointest Endosc (2015) 82(2):299–307. doi: 10.1016/j.gie.2015.01.019

  • CrossRef
  • Google Scholar

• 54

  JemalASiegelRWardEMurrayTXuJThunMJ. Cancer statistics, 2007. CA Cancer J Clin (2007) 57(1):43–66. doi: 10.3322/canjclin.57.1.43

  • CrossRef
  • Google Scholar

• 55

  LuXZhangYXieGDingYCongHXuanS. Exosomal non−coding RNAs: Novel biomarkers with emerging clinical applications in gastric cancer (Review). Mol Med Rep (2020) 22(5):4091–100.

  • Google Scholar

• 56

  TangX-HGuoTGaoX-YWuX-LXingX-FJiJ-Fet al. Exosome-derived noncoding RNAs in gastric cancer: functions and clinical applications. Mol Cancer (2021) 20(1):1–15. doi: 10.1186/s12943-021-01396-6

  • CrossRef
  • Google Scholar

• 57

  AhmadpourSTaghaviTSheidaATamehri ZadehSSHamblinMRMirzaeiH. Effects of microRNAs and long non-coding RNAs on chemotherapy response in glioma. Epigenomics (2022) 14(9):549–63. doi: 10.2217/epi-2021-0439

  • CrossRef
  • Google Scholar

• 58

  ChongDQShanJLYangCSWangRDuZM. Clinical prognostic value of a FOXM1 related long non-coding RNA expression in gastric cancer. Eur Rev Med Pharmacol Sci (2018) 22(2):417–21.

  • Google Scholar

• 59

  CaiHChenJHeBLiQLiYGaoY. A FOXM1 related long non-coding RNA contributes to gastric cancer cell migration. Mol Cell Biochem (2015) 406(1-2):31–41. doi: 10.1007/s11010-015-2421-3

  • CrossRef
  • Google Scholar

• 60

  JiangXGuanJXuYRenHJiangJWuduMet al. Silencing of CASC8 inhibits non-small cell lung cancer cells function and promotes sensitivity to osimertinib via FOXM1. J Cancer (2021) 12(2):387–96. doi: 10.7150/jca.47863

  • CrossRef
  • Google Scholar

• 61

  OkadaKFujiwaraYTakahashiTNakamuraYTakiguchiSNakajimaKet al. Overexpression of forkhead box M1 transcription factor (FOXM1) is a potential prognostic marker and enhances chemoresistance for docetaxel in gastric cancer. Ann Surg Oncol (2013) 20(3):1035–43. doi: 10.1245/s10434-012-2680-0

  • CrossRef
  • Google Scholar

• 62

  ZhangYZhangNDaiBLiuMSawayaRXieKet al. FoxM1B transcriptionally regulates vascular endothelial growth factor expression and promotes the angiogenesis and growth of glioma cells. Cancer Res (2008) 68(21):8733–42. doi: 10.1158/0008-5472.CAN-08-1968

  • CrossRef
  • Google Scholar

• 63

  KurnickSAGeZDzink-FoxJMuthupalaniSFoxJG. Mo1784–the role of Foxm1 in helicobacter pylori-associated gastric cancer. Gastroenterology (2019) 156(6):S–837. doi: 10.1016/S0016-5085(19)39051-1

  • CrossRef
  • Google Scholar

• 64

  ZhangYChenLYeXWuZZhangZSunBet al. Expression and mechanism of exosome-mediated a FOXM1 related long noncoding RNA in gastric cancer. J Nanobiotechnology (2021) 19(1):133. doi: 10.1186/s12951-021-00873-w

  • CrossRef
  • Google Scholar

• 65

  MatsuokaTYashiroM. The role of PI3K/Akt/mTOR signaling in gastric carcinoma. Cancers (2014) 6(3):1441–63. doi: 10.3390/cancers6031441

  • CrossRef
  • Google Scholar

• 66

  WuYZhangYQinXGengHZuoDZhaoQ. PI3K/AKT/mTOR pathway-related long non-coding RNAs: roles and mechanisms in hepatocellular carcinoma. Pharmacol Res (2020) 160:105195. doi: 10.1016/j.phrs.2020.105195

  • CrossRef
  • Google Scholar

• 67

  LiYZengCHuJPanYShanYLiuBet al. Long non-coding RNA-SNHG7 acts as a target of miR-34a to increase GALNT7 level and regulate PI3K/Akt/mTOR pathway in colorectal cancer progression. J Hematol Oncol (2018) 11(1):1–17. doi: 10.1186/s13045-018-0632-2

  • CrossRef
  • Google Scholar

• 68

  ZengLLiaoQZouZWenYWangJLiuCet al. Long non-coding RNA XLOC_006753 promotes the development of multidrug resistance in gastric cancer cells through the PI3K/AKT/mTOR signaling pathway. Cell Physiol Biochem (2018) 51(3):1221–36. doi: 10.1159/000495499

  • CrossRef
  • Google Scholar

• 69

  WangLBoXYiXXiaoXZhengQMaLet al. Exosome-transferred LINC01559 promotes the progression of gastric cancer via PI3K/AKT signaling pathway. Cell Death Dis (2020) 11(9):723. doi: 10.1038/s41419-020-02810-5

  • CrossRef
  • Google Scholar

• 70

  LiuLZhaoXZouHBaiRYangKTianZ. Hypoxia promotes gastric cancer malignancy partly through the HIF-1α dependent transcriptional activation of the long non-coding RNA GAPLINC. Front Physiol (2016) 7:420. doi: 10.3389/fphys.2016.00420

  • CrossRef
  • Google Scholar

• 71

  LiuYWuJHuangWWengSWangBChenYet al. Development and validation of a hypoxia-immune-based microenvironment gene signature for risk stratification in gastric cancer. J Trans Med (2020) 18(1):1–17. doi: 10.1186/s12967-020-02366-0

  • CrossRef
  • Google Scholar

• 72

  PiaoHYGuoS. Exosome-transmitted lncRNA PCGEM1 promotes invasive and metastasis in gastric cancer by maintaining the stability of SNAI1. Clin Transl Oncol (2021) 23(2):246–56. doi: 10.1007/s12094-020-02412-9

  • CrossRef
  • Google Scholar

• 73

  LiuKGaoLMaXHuangJ-JChenJZengLet al. Long non-coding RNAs regulate drug resistance in cancer. Mol Cancer (2020) 19(1):1–13. doi: 10.1186/s12943-020-01162-0

  • CrossRef
  • Google Scholar

• 74

  WangJLvBSuYWangXBuJYaoL. Exosome-mediated transfer of lncRNA HOTTIP promotes cisplatin resistance in gastric cancer cells by regulating HMGA1/miR-218 axis. OncoTargets Ther (2019) 12:11325. doi: 10.2147/OTT.S231846

  • CrossRef
  • Google Scholar

• 75

  ZhouHShenWZouHLvQShaoP. Circulating exosomal long non-coding RNA H19 as a potential novel diagnostic and prognostic biomarker for gastric cancer. J Int Med Res (2020) 48(7):300060520934297. doi: 10.1177/0300060520934297

  • CrossRef
  • Google Scholar

• 76

  CaiCZhangHZhuYZhengPXuYSunJet al. Serum exosomal long noncoding RNA pcsk2-2:1 as a potential novel diagnostic biomarker for gastric cancer. OncoTargets Ther (2019) 12:10035–41. doi: 10.2147/OTT.S229033

  • CrossRef
  • Google Scholar

• 77

  LiSZhangMZhangHHuKCaiCWangJet al. Exosomal long noncoding RNA lnc-GNAQ-6:1 may serve as a diagnostic marker for gastric cancer. Clinica Chimica Acta; Int J Clin Chem (2020) 501:252–7. doi: 10.1016/j.cca.2019.10.047

  • CrossRef
  • Google Scholar

• 78

  PiaoHYGuoS. Exosomal long non-coding RNA CEBPA-AS1 inhibits tumor apoptosis and functions as a non-invasive biomarker for diagnosis of gastric cancer. Onco Targets Ther (2020) 13:1365–74. doi: 10.2147/OTT.S238706

  • CrossRef
  • Google Scholar

• 79

  XuHZhouJTangJMinXYiTZhaoJet al. Identification of serum exosomal lncRNA MIAT as a novel diagnostic and prognostic biomarker for gastric cancer. J Clin Lab Anal (2020). doi: 10.1002/jcla.23323

  • CrossRef
  • Google Scholar

• 80

  XinLWuYLiuCZengFWangJLWuDZet al. Exosome-mediated transfer of lncRNA HCG18 promotes M2 macrophage polarization in gastric cancer. Mol Immunol (2021) 140:196–205. doi: 10.1016/j.molimm.2021.10.011

  • CrossRef
  • Google Scholar

• 81

  LuYHouKLiMWuXYuanS. Exosome-delivered LncHEIH promotes gastric cancer progression by upregulating EZH2 and stimulating methylation of the GSDME promoter. Front Cell Dev Biol (2020) 8:571297. doi: 10.3389/fcell.2020.571297

  • CrossRef
  • Google Scholar

• 82

  ZhaoRZhangYZhangXYangYZhengXLiXet al. Exosomal long noncoding RNA HOTTIP as potential novel diagnostic and prognostic biomarker test for gastric cancer. Mol Cancer (2018) 17(1):68. doi: 10.1186/s12943-018-0817-x

  • CrossRef
  • Google Scholar

• 83

  CaoSLinLXiaXWuH. lncRNA SPRY4-IT1 regulates cell proliferation and migration by sponging miR-101-3p and regulating AMPK expression in gastric cancer. Mol Ther Nucleic Acids (2019) 17:455–64. doi: 10.1016/j.omtn.2019.04.030

  • CrossRef
  • Google Scholar

• 84

  PanLLiangWFuMHuangZHLiXZhangWet al. Exosomes-mediated transfer of long noncoding RNA ZFAS1 promotes gastric cancer progression. J Cancer Res Clin Oncol (2017) 143(6):991–1004. doi: 10.1007/s00432-017-2361-2

  • CrossRef
  • Google Scholar

• 85

  GuoXLvXRuYZhouFWangNXiHet al. Circulating exosomal gastric cancer-associated long noncoding RNA1 as a biomarker for early detection and monitoring progression of gastric cancer: A multiphase study. JAMA Surg (2020) 155(7):572–9. doi: 10.1001/jamasurg.2020.1133

  • CrossRef
  • Google Scholar

• 86

  ZhengPZhangHGaoHSunJLiJZhangX. Plasma exosomal long noncoding RNA lnc-SLC2A12-10:1 as a novel diagnostic biomarker for gastric cancer. Onco Targets Ther (2020) 13:4009–18. doi: 10.2147/OTT.S253600

  • CrossRef
  • Google Scholar

• 87

  LinLYYangLZengQWangLChenMLZhaoZHet al. Tumor-originated exosomal lncUEGC1 as a circulating biomarker for early-stage gastric cancer. Molecular Cancer (2018) 17(1):84. doi: 10.1186/s12943-018-0834-9

  • CrossRef
  • Google Scholar

• 88

  LiQShaoYZhangXZhengTMiaoMQinLet al. Plasma long noncoding RNA protected by exosomes as a potential stable biomarker for gastric cancer. Tumour Biol (2015) 36(3):2007–12. doi: 10.1007/s13277-014-2807-y

  • CrossRef
  • Google Scholar

• 89

  JinGZhangJCaoTChenBTianYShiY. Exosome-mediated lncRNA SND1-IT1 from gastric cancer cells enhances malignant transformation of gastric mucosa cells via up-regulating SNAIL1. J Transl Med (2022) 20(1):284. doi: 10.1186/s12967-022-03306-w

  • CrossRef
  • Google Scholar

• 90

  ChenXZhangSDuKZhengNLiuYChenHet al. Gastric cancer-secreted exosomal X26nt increases angiogenesis and vascular permeability by targeting VE-cadherin. Cancer Sci (2021) 112(5):1839–52. doi: 10.1111/cas.14740

  • CrossRef
  • Google Scholar

• 91

  WeiSDaiSZhangCZhaoRZhaoZSongYet al. LncRNA NR038975, a serum-based biomarker, promotes gastric tumorigenesis by interacting with NF90/NF45 complex. Front Oncol (2021) 11:721604. doi: 10.3389/fonc.2021.721604

  • CrossRef
  • Google Scholar

• 92

  WangJHuangFShiYZhangQXuSYaoYet al. RP11-323N12. 5 promotes the malignancy and immunosuppression of human gastric cancer by increasing YAP1 transcription. Gastric Cancer (2021) 24(1):85–102.

  • Google Scholar

• 93

  WangXLiHLuXWenCHuoZShiMet al. Melittin-induced long non-coding RNA NONHSAT105177 inhibits proliferation and migration of pancreatic ductal adenocarcinoma. Cell Death Dis (2018) 9(10):1–11. doi: 10.1038/s41419-018-0965-3

  • CrossRef
  • Google Scholar

• 94

  ChenJWangSJiaSDingGJiangGCaoL. Integrated analysis of long non-coding RNA and mRNA expression profile in pancreatic cancer derived exosomes treated dendritic cells by microarray analysis. J Cancer (2018) 9(1):21–31. doi: 10.7150/jca.21749

  • CrossRef
  • Google Scholar

• 95

  TakahashiKOtaYKogureTSuzukiYIwamotoHYamakitaKet al. Circulating extracellular vesicle-encapsulated HULC is a potential biomarker for human pancreatic cancer. Cancer Sci (2020) 111(1):98–111. doi: 10.1111/cas.14232

  • CrossRef
  • Google Scholar

• 96

  YinZZhouYMaTChenSShiNZouYet al. Down-regulated lncRNA SBF2-AS1 in M2 macrophage-derived exosomes elevates miR-122-5p to restrict XIAP, thereby limiting pancreatic cancer development. J Cell Mol Med (2020) 24(9):5028–38. doi: 10.1111/jcmm.15125

  • CrossRef
  • Google Scholar

• 97

  LiZJiangPLiJPengMZhaoXZhangXet al. Tumor-derived exosomal lnc-Sox2ot promotes EMT and stemness by acting as a ceRNA in pancreatic ductal adenocarcinoma. Oncogene (2018) 37(28):3822–38. doi: 10.1038/s41388-018-0237-9

  • CrossRef
  • Google Scholar

• 98

  GuoZWangXYangYChenWZhangKTengBet al. Hypoxic tumor-derived exosomal long noncoding RNA UCA1 promotes angiogenesis via miR-96-5p/AMOTL2 in pancreatic cancer. Mol Ther Nucleic Acids (2020) 22:179–95. doi: 10.1016/j.omtn.2020.08.021

  • CrossRef
  • Google Scholar

• 99

  HanWSulidankazhaQNieXYilidanRLenK. Pancreatic cancer cells-derived exosomal long non-coding RNA CCAT1/microRNA-138-5p/HMGA1 axis promotes tumor angiogenesis. Life Sci (2021) 278:119495. doi: 10.1016/j.lfs.2021.119495

  • CrossRef
  • Google Scholar

• 100

  KumarSRKimchiETManjunathYGajagowniSStuckelAJKaifiJT. RNA Cargos in extracellular vesicles derived from blood serum in pancreas associated conditions. Sci Rep (2020) 10(1):2800.

  • Google Scholar

• 101

  FangXCaiYXuYZhangH. Exosome-mediated lncRNA SNHG11 regulates angiogenesis in pancreatic carcinoma through miR-324-3p/VEGFA axis. Cell Biol Int (2022) 46(1):106–17. doi: 10.1002/cbin.11703

  • CrossRef
  • Google Scholar

• 102

  SunZSunDFengYZhangBSunPZhouBet al. Exosomal linc-ROR mediates crosstalk between cancer cells and adipocytes to promote tumor growth in pancreatic cancer. Mol Therapy Nucleic Acids (2021) 26:253–68. doi: 10.1016/j.omtn.2021.06.001

  • CrossRef
  • Google Scholar

• 103

  LiuYTangTYangXQinPWangPZhangHet al. Tumor-derived exosomal long noncoding RNA LINC01133, regulated by periostin, contributes to pancreatic ductal adenocarcinoma epithelial-mesenchymal transition through the wnt/β-catenin pathway by silencing AXIN2. Oncogene (2021) 40(17):3164–79. doi: 10.1038/s41388-021-01762-0

  • CrossRef
  • Google Scholar

• 104

  FengZLiKQinKLiangJShiMMaYet al. The LINC00623/NAT10 signaling axis promotes pancreatic cancer progression by remodeling ac4C modification of mRNA. J Hematol Oncol (2022) 15(1):112. doi: 10.1186/s13045-022-01338-9

  • CrossRef
  • Google Scholar

• 105

  OehmeFKrahlSGyorffyBMuessleBRaoVGreifHet al. Low level of exosomal long non-coding RNA HOTTIP is a prognostic biomarker in colorectal cancer. RNA Biol (2019) 16(10):1339–45.

  • Google Scholar

• 106

  HuDZhanYZhuKBaiMHanJSiYet al. Plasma exosomal long non-coding RNAs serve as biomarkers for early detection of colorectal cancer. Cell Physiol Biochem: Int J Exp Cell Physiol Biochem Pharmacol (2018) 51(6):2704–15.

  • Google Scholar

• 107

  RenJDingLZhangDShiGXuQShenSet al. Carcinoma-associated fibroblasts promote the stemness and chemoresistance of colorectal cancer by transferring exosomal lncRNA H19. Theranostics (2018) 8(14):3932–48. doi: 10.7150/thno.25541

  • CrossRef
  • Google Scholar

• 108

  LiuLMengTYangXHSayimPLeiCJinBet al. Prognostic and predictive value of long non-coding RNA GAS5 and mircoRNA-221 in colorectal cancer and their effects on colorectal cancer cell proliferation, migration and invasion. Cancer Biomark: Section A Dis Markers (2018) 22(2):283–99.

  • Google Scholar

• 109

  SunFLiangWQianJ. The identification of CRNDE, H19, UCA1 and HOTAIR as the key lncRNAs involved in oxaliplatin or irinotecan resistance in the chemotherapy of colorectal cancer based on integrative bioinformatics analysis. Mol Med Rep (2019) 20(4):3583–96.

  • Google Scholar

• 110

  LiuTZhangXGaoSJingFYangYDuLet al. Exosomal long noncoding RNA CRNDE-h as a novel serum-based biomarker for diagnosis and prognosis of colorectal cancer. Oncotarget (2016) 7(51):85551–63.

  • Google Scholar

• 111

  YuBDuQLiHLiuHYYeXZhuBet al. Diagnostic potential of serum exosomal colorectal neoplasia differentially expressed long non-coding RNA (CRNDE-p) and microRNA-217 expression in colorectal carcinoma. Oncotarget (2017) 8(48):83745–53. doi: 10.18632/oncotarget.19407

  • CrossRef
  • Google Scholar

• 112

  XuJXiaoYLiuBPanSLiuQShanYet al. Exosomal MALAT1 sponges miR-26a/26b to promote the invasion and metastasis of colorectal cancer via FUT4 enhanced fucosylation and PI3K/Akt pathway. J Exp Clin Cancer Res: CR (2020) 39(1):54. doi: 10.1186/s13046-020-01562-6

  • CrossRef
  • Google Scholar

• 113

  XianDNiuLZengJWangL. LncRNA KCNQ1OT1 secreted by tumor cell-derived exosomes mediates immune escape in colorectal cancer by regulating PD-L1 ubiquitination via MiR-30a-5p/USP22. Front Cell Dev Biol (2021) 9:653808. doi: 10.3389/fcell.2021.653808

  • CrossRef
  • Google Scholar

• 114

  HuangYLuoYOuWWangYDongDPengXet al. Exosomal lncRNA SNHG10 derived from colorectal cancer cells suppresses natural killer cell cytotoxicity by upregulating INHBC. Cancer Cell Int (2021) 21(1):528. doi: 10.1186/s12935-021-02221-2

  • CrossRef
  • Google Scholar

• 115

  ChenXLiuYZhangQLiuBChengYZhangYet al. Exosomal long non-coding RNA HOTTIP increases resistance of colorectal cancer cells to mitomycin via impairing MiR-214-Mediated degradation of KPNA3. Front Cell Dev Biol (2020) 8:582723. doi: 10.3389/fcell.2020.582723

  • CrossRef
  • Google Scholar

• 116

  WangLDuanWYanSXieYWangC. Circulating long non-coding RNA colon cancer-associated transcript 2 protected by exosome as a potential biomarker for colorectal cancer. Biomed Pharmacother = Biomed Pharmacother (2019) 113:108758. doi: 10.1016/j.biopha.2019.108758

  • CrossRef
  • Google Scholar

• 117

  YinHHuJYeZChenSChenY. Serum long non−coding RNA NNT−AS1 protected by exosome is a potential biomarker and functions as an oncogene via the miR−496/RAP2C axis in colorectal cancer. Mol Med Rep (2021) 24(2). doi: 10.3892/mmr.2021.12224

  • CrossRef
  • Google Scholar

• 118

  ZhaoYDuTDuLLiPLiJDuanWet al. Long noncoding RNA LINC02418 regulates MELK expression by acting as a ceRNA and may serve as a diagnostic marker for colorectal cancer. Cell Death & Disease (2019) 10(8):568. doi: 10.1038/s41419-019-1804-x

  • CrossRef
  • Google Scholar

• 119

  ZhouLLiJTangYYangM. Exosomal LncRNA LINC00659 transferred from cancer-associated fibroblasts promotes colorectal cancer cell progression via miR-342-3p/ANXA2 axis. J Trans Med (2021) 19(1):8. doi: 10.1186/s12967-020-02648-7

  • CrossRef
  • Google Scholar

• 120

  LuanYLiXLuanYZhaoRLiYLiuLet al. Circulating lncRNA UCA1 promotes malignancy of colorectal cancer via the miR-143/MYO6 axis. Mol Therapy Nucleic Acids (2020) 19:790–803. doi: 10.1016/j.omtn.2019.12.009

  • CrossRef
  • Google Scholar

• 121

  LiangZXLiuHSWangFWXiongLZhouCHuTet al. LncRNA RPPH1 promotes colorectal cancer metastasis by interacting with TUBB3 and by promoting exosomes-mediated macrophage M2 polarization. Cell Death Dis (2019) 10(11):829. doi: 10.1038/s41419-019-2077-0

  • CrossRef
  • Google Scholar

• 122

  WangFWCaoCHHanKZhaoYXCaiMYXiangZCet al. APC-activated long noncoding RNA inhibits colorectal carcinoma pathogenesis through reduction of exosome production. J Clin Invest (2019) 129(2):727–43. doi: 10.1172/JCI122478

  • CrossRef
  • Google Scholar

• 123

  LiNLiJMiQXieYLiPWangLet al. Long non-coding RNA ADAMTS9-AS1 suppresses colorectal cancer by inhibiting the wnt/β-catenin signalling pathway and is a potential diagnostic biomarker. J Cell Mol Med (2020) 24(19):11318–29. doi: 10.1111/jcmm.15713

  • CrossRef
  • Google Scholar

• 124

  GaoTLiuXHeBNieZZhuCZhangPet al. Exosomal lncRNA 91H is associated with poor development in colorectal cancer by modifying HNRNPK expression. Cancer Cell Int (2018) 18:11. doi: 10.1186/s12935-018-0506-2

  • CrossRef
  • Google Scholar

• 125

  YuMSongXGZhaoYJDongXHNiuLMZhangZJet al. Circulating serum exosomal long non-coding RNAs FOXD2-AS1, NRIR, and XLOC_009459 as diagnostic biomarkers for colorectal cancer. Front Oncol (2021) 11:618967. doi: 10.3389/fonc.2021.618967

  • CrossRef
  • Google Scholar

• 126

  NgCTAzwarSYipWKZahari ShamSYFaisal JabarMSahakNHet al. Isolation and identification of long non-coding RNAs in exosomes derived from the serum of colorectal carcinoma patients. Biol (Basel) (2021) 10(9). doi: 10.3390/biology10090918

  • CrossRef
  • Google Scholar

• 127

  LiXLanQLaiWWuHXuHFangKet al. Exosome-derived lnc-HOXB8-1:2 induces tumor-associated macrophage infiltration to promote neuroendocrine differentiated colorectal cancer progression by sponging hsa-miR-6825-5p. BMC Cancer (2022) 22(1):928. doi: 10.1186/s12885-022-09926-1

  • CrossRef
  • Google Scholar

• 128

  LiYWuMXuSHuangHYanLGuY. Colorectal cancer stem cell-derived exosomal long intergenic noncoding RNA 01315 (LINC01315) promotes proliferation, migration, and stemness of colorectal cancer cells. Bioengineered (2022) 13(4):10827–42. doi: 10.1080/21655979.2022.2065800

  • CrossRef
  • Google Scholar

• 129

  FangXXuYLiKLiuPZhangHJiangYet al. Exosomal lncRNA PCAT1 promotes tumor circulating cell-mediated colorectal cancer liver metastasis by regulating the activity of the miR-329-3p/Netrin-1-CD146 complex. J Immunol Res (2022) 2022. doi: 10.1155/2022/9916228

  • CrossRef
  • Google Scholar

• 130

  YangPZhangDWangTJiJJinCPengCet al. CAF-derived exosomal WEE2-AS1 facilitates colorectal cancer progression via promoting degradation of MOB1A to inhibit the hippo pathway. Cell Death Dis (2022) 13(9):1–14. doi: 10.1038/s41419-022-05240-7

  • CrossRef
  • Google Scholar

• 131

  LaiS-WChenM-YBamoduOAHsiehM-SHuangT-YYehC-Tet al. Exosomal lncRNA PVT1/VEGFA axis promotes colon cancer metastasis and stemness by downregulation of tumor suppressor miR-152-3p. Oxid Med Cell Longevity (2021) 2021. doi: 10.1155/2021/9959807

  • CrossRef
  • Google Scholar

• 132

  LiCLiWZhangYZhangXLiuTZhangYet al. Increased expression of antisense lncRNA SPINT1-AS1 predicts a poor prognosis in colorectal cancer and is negatively correlated with its sense transcript. OncoTargets Ther (2018) 11:3969. doi: 10.2147/OTT.S163883

  • CrossRef
  • Google Scholar

• 133

  LiZQinXBianWLiYShanBYaoZet al. Exosomal lncRNA ZFAS1 regulates esophageal squamous cell carcinoma cell proliferation, invasion, migration and apoptosis via microRNA-124/STAT3 axis. J Exp Clin Cancer Res (2019) 38(1):1–13. doi: 10.1186/s13046-019-1473-8

  • CrossRef
  • Google Scholar

• 134

  KangMRenMLiYFuYDengMLiC. Exosome-mediated transfer of lncRNA PART1 induces gefitinib resistance in esophageal squamous cell carcinoma via functioning as a competing endogenous RNA. J Exp Clin Cancer Res: CR (2018) 37(1):171. doi: 10.1186/s13046-018-0845-9

  • CrossRef
  • Google Scholar

• 135

  TongYYangLYuCZhuWZhouXXiongYet al. Tumor-secreted exosomal lncRNA POU3F3 promotes cisplatin resistance in ESCC by inducing fibroblast differentiation into CAFs. Mol Therapy Oncolytics (2020) 18:1–13. doi: 10.1016/j.omto.2020.05.014

  • CrossRef
  • Google Scholar

• 136

  JiaoZYuARongWHeXZenKShiMet al. Five-lncRNA signature in plasma exosomes serves as diagnostic biomarker for esophageal squamous cell carcinoma. Aging (2020) 12. doi: 10.18632/aging.103559

  • CrossRef
  • Google Scholar

• 137

  MiXXuRHongSXuTZhangWLiuM. M2 macrophage-derived exosomal lncRNA AFAP1-AS1 and MicroRNA-26a affect cell migration and metastasis in esophageal cancer. Mol Ther - Nucleic Acids (2020) 22:779–90. doi: 10.1016/j.omtn.2020.09.035

  • CrossRef
  • Google Scholar

• 138

  ZhuZWangHPangYHuHZhangHWangW. Exosomal long non-coding RNA UCA1 functions as growth inhibitor in esophageal cancer. Aging (2020) 12(20):20523–39. doi: 10.18632/aging.103911

  • CrossRef
  • Google Scholar

• 139

  XuMLLiuTCDongFXMengLXLingAXLiuS. Exosomal lncRNA LINC01711 facilitates metastasis of esophageal squamous cell carcinoma via the miR-326/FSCN1 axis. Aging (2021) 13(15):19776–88. doi: 10.18632/aging.203389

  • CrossRef
  • Google Scholar

• 140

  HuangLWangYChenJWangYZhaoYWangYet al. Long noncoding RNA PCAT1, a novel serum-based biomarker, enhances cell growth by sponging miR-326 in oesophageal squamous cell carcinoma. Cell Death Dis (2019) 10(7):513. doi: 10.1038/s41419-019-1745-4

  • CrossRef
  • Google Scholar

• 141

  LiWZhangLGuoBDengJWuSLiFet al. Exosomal FMR1-AS1 facilitates maintaining cancer stem-like cell dynamic equilibrium via TLR7/NFκB/c-myc signaling in female esophageal carcinoma. Mol Cancer (2019) 18(1):22.

  • Google Scholar

• 142

  TianLYangLZhengWHuYDingPWangZet al. RNA Sequencing of exosomes revealed differentially expressed long noncoding RNAs in early-stage esophageal squamous cell carcinoma and benign esophagitis. Epigenomics (2020) 12(6):525–41. doi: 10.2217/epi-2019-0371

  • CrossRef
  • Google Scholar

• 143

  ZhangCLuoYCaoJWangXMiaoZShaoG. Exosomal lncRNA FAM225A accelerates esophageal squamous cell carcinoma progression and angiogenesis via sponging miR-206 to upregulate NETO2 and FOXP1 expression. Cancer Med (2020) 9(22):8600–11. doi: 10.1002/cam4.3463

  • CrossRef
  • Google Scholar

• 144

  HuRBiRJiangLXiaoHXieXLiuHet al. LncRNA RP11-465B22.8 triggers esophageal cancer progression by targeting miR-765/KLK4 axis. Cell Death Discovery (2021) 7(1):262.

  • Google Scholar

• 145

  JinNJinNBuWLiXLiuLWangZet al. Long non-coding RNA TIRY promotes tumor metastasis by enhancing epithelial-to-mesenchymal transition in oral cancer. Exp Biol Med (Maywood) (2020) 245(7):585–96. doi: 10.1177/1535370220903673

  • CrossRef
  • Google Scholar

• 146

  DingLRenJZhangDLiYHuangXHuQet al. A novel stromal lncRNA signature reprograms fibroblasts to promote the growth of oral squamous cell carcinoma via LncRNA-CAF/interleukin-33. Carcinogenesis (2018) 39(3):397–406. doi: 10.1093/carcin/bgy006

  • CrossRef
  • Google Scholar

• 147

  LiSShiZFuSLiQLiBSangLet al. Exosomal-mediated transfer of APCDD1L-AS1 induces 5-fluorouracil resistance in oral squamous cell carcinoma via miR-1224-5p/nuclear receptor binding SET domain protein 2 (NSD2) axis. Bioengineered (2021) 12(1):7188–204. doi: 10.1080/21655979.2021.1979442

  • CrossRef
  • Google Scholar

• 148

  AiYWeiHWuSTangZLiXZouC. Exosomal lncRNA LBX1-AS1 derived from RBPJ overexpressed-macrophages inhibits oral squamous cell carcinoma progress via miR-182-5p/FOXO3. Front Oncol (2021) 11:605884. doi: 10.3389/fonc.2021.605884

  • CrossRef
  • Google Scholar

• 149

  LiBMaoRLiuCZhangWTangYGuoZ. LncRNA FAL1 promotes cell proliferation and migration by acting as a CeRNA of miR-1236 in hepatocellular carcinoma cells. Life Sci (2018) 197:122–9. doi: 10.1016/j.lfs.2018.02.006

  • CrossRef
  • Google Scholar

• 150

  LiXLeiYWuMLiN. Regulation of macrophage activation and polarization by HCC-derived exosomal lncRNA TUC339. Int J Mol Sci (2018) 19(10):2958. doi: 10.3390/ijms19102958

  • CrossRef
  • Google Scholar

• 151

  ConigliaroACostaVLo DicoASaievaLBuccheriSDieliFet al. CD90+ liver cancer cells modulate endothelial cell phenotype through the release of exosomes containing H19 lncRNA. Mol Cancer (2015) 14:155. doi: 10.1186/s12943-015-0426-x

  • CrossRef
  • Google Scholar

• 152

  GramantieriLBaglioniMFornariFLaginestraMAFerracinMIndioVet al. LncRNAs as novel players in hepatocellular carcinoma recurrence. Oncotarget (2018) 9(80):35085–99. doi: 10.18632/oncotarget.26202

  • CrossRef
  • Google Scholar

• 153

  TakahashiKYanIKKogureTHagaHPatelT. Extracellular vesicle-mediated transfer of long non-coding RNA ROR modulates chemosensitivity in human hepatocellular cancer. FEBS Open Bio (2014) 4:458–67. doi: 10.1016/j.fob.2014.04.007

  • CrossRef
  • Google Scholar

• 154

  HouYYuZTamNLHuangSSunCWangRet al. Exosome-related lncRNAs as predictors of HCC patient survival: a prognostic model. Am J Trans Res (2018) 10(6):1648–62.

  • Google Scholar

• 155

  MaDGaoXLiuZLuXJuHZhangN. Exosome-transferred long non-coding RNA ASMTL-AS1 contributes to malignant phenotypes in residual hepatocellular carcinoma after insufficient radiofrequency ablation. Cell Prolif (2020) 53(9):e12795. doi: 10.1111/cpr.12795

  • CrossRef
  • Google Scholar

• 156

  WangTZhuHXiaoMZhouS. Serum exosomal long noncoding RNA CRNDE as a prognostic biomarker for hepatocellular carcinoma. J Clin Lab Anal (2021) 35(11):e23959. doi: 10.1002/jcla.23959

  • CrossRef
  • Google Scholar

• 157

  WangJPuJZhangYYaoTLuoZLiWet al. Exosome-transmitted long non-coding RNA SENP3-EIF4A1 suppresses the progression of hepatocellular carcinoma. Aging (2020) 12(12):11550–67. doi: 10.18632/aging.103302

  • CrossRef
  • Google Scholar

• 158

  SunLSuYLiuXXuMChenXZhuYet al. Serum and exosome long non coding RNAs as potential biomarkers for hepatocellular carcinoma. J Cancer (2018) 9(15):2631–9. doi: 10.7150/jca.24978

  • CrossRef
  • Google Scholar

• 159

  ZhuoCYiTPuJCenXZhouYFengSet al. Exosomal linc-FAM138B from cancer cells alleviates hepatocellular carcinoma progression via regulating miR-765. Aging (2020) 12(24):26236–47. doi: 10.18632/aging.202430

  • CrossRef
  • Google Scholar

• 160

  WangLPLinJMaXQXuDYShiCFWangWet al. Exosomal DLX6-AS1 from hepatocellular carcinoma cells induces M2 macrophage polarization to promote migration and invasion in hepatocellular carcinoma through microRNA-15a-5p/CXCL17 axis. J Exp Clin Cancer Res: CR (2021) 40(1):177. doi: 10.1186/s13046-021-01973-z

  • CrossRef
  • Google Scholar

• 161

  LiYZhangXZhengQZhangYMaYZhuCet al. YAP1 inhibition in HUVECs is associated with released exosomes and increased hepatocarcinoma invasion and metastasis. Mol Ther Nucleic Acids (2020) 21:86–97. doi: 10.1016/j.omtn.2020.05.021

  • CrossRef
  • Google Scholar

• 162

  LuYDuanYXuQZhangLChenWQuZet al. Circulating exosome-derived bona fide long non-coding RNAs predicting the occurrence and metastasis of hepatocellular carcinoma. J Cell Mol Med (2020) 24(2):1311–8. doi: 10.1111/jcmm.14783

  • CrossRef
  • Google Scholar

• 163

  LeeYRKimGTakWYJangSYKweonYOParkJGet al. Circulating exosomal noncoding RNAs as prognostic biomarkers in human hepatocellular carcinoma. Int J Cancer (2019) 144(6):1444–52. doi: 10.1002/ijc.31931

  • CrossRef
  • Google Scholar

• 164

  CaoSQZhengHSunBCWangZLLiuTGuoDHet al. Long non-coding RNA highly up-regulated in liver cancer promotes exosome secretion. World J Gastroenterol (2019) 25(35):5283–99. doi: 10.3748/wjg.v25.i35.5283

  • CrossRef
  • Google Scholar

• 165

  XuMZhouCWengJChenZZhouQGaoJet al. Tumor associated macrophages-derived exosomes facilitate hepatocellular carcinoma malignance by transferring lncMMPA to tumor cells and activating glycolysis pathway. J Exp Clin Cancer Res (2022) 41(1):253. doi: 10.1186/s13046-022-02458-3

  • CrossRef
  • Google Scholar

• 166

  YaoZJiaCTaiYLiangHZhongZXiongZet al. Serum exosomal long noncoding RNAs lnc-FAM72D-3 and lnc-EPC1-4 as diagnostic biomarkers for hepatocellular carcinoma. Aging (Albany NY) (2020) 12(12):11843. doi: 10.18632/aging.103355

  • CrossRef
  • Google Scholar

• 167

  XuHChenYDongXWangX. Serum exosomal long noncoding RNAs ENSG00000258332. 1 and LINC00635 for the diagnosis and prognosis of hepatocellular carcinoma. Cancer Epidemiol Biomarkers Prev (2018) 27(6):710–6. doi: 10.1158/1055-9965.EPI-17-0770

  • CrossRef
  • Google Scholar

• 168

  TanCCaoJChenLXiXWangSZhuYet al. Noncoding RNAs serve as diagnosis and prognosis biomarkers for hepatocellular carcinoma. Clin Chem (2019) 65(7):905–15. doi: 10.1373/clinchem.2018.301150

  • CrossRef
  • Google Scholar

• 169

  LiSQiYHuangYGuoYHuangTJiaL. Exosome-derived SNHG16 sponging miR-4500 activates HUVEC angiogenesis by targeting GALNT1 via PI3K/Akt/mTOR pathway in hepatocellular carcinoma. J Physiol Biochem (2021) 77(4):667–82. doi: 10.1007/s13105-021-00833-w

  • CrossRef
  • Google Scholar

• 170

  FanFChenKLuXLiALiuCWuB. Dual targeting of PD-L1 and PD-L2 by PCED1B-AS1 via sponging hsa-miR-194-5p induces immunosuppression in hepatocellular carcinoma. Hepatol Int (2021) 15(2):444–58. doi: 10.1007/s12072-020-10101-6

  • CrossRef
  • Google Scholar

• 171

  LuLHuangJMoJDaXLiQFanMet al. Exosomal lncRNA TUG1 from cancer-associated fibroblasts promotes liver cancer cell migration, invasion, and glycolysis by regulating the miR-524-5p/SIX1 axis. Cell Mol Biol Lett (2022) 27(1):1–17. doi: 10.1186/s11658-022-00309-9

  • CrossRef
  • Google Scholar

• 172

  KogureTYanIKLinW-LPatelT. Extracellular vesicle–mediated transfer of a novel long noncoding RNA TUC339: a mechanism of intercellular signaling in human hepatocellular cancer. Genes Cancer (2013) 4(7-8):261–72. doi: 10.1177/1947601913499020

  • CrossRef
  • Google Scholar

• 173

  MatboliMLabibMENasserHE-TEl-TawdiAHHabibEKAli-LabibR. Exosomal miR-1298 and lncRNA-RP11-583F2. 2 expression in hepatocellular carcinoma. Curr Genomics (2020) 21(1):46–55.

  • Google Scholar

• 174

  IlicMIlicI. Epidemiology of pancreatic cancer. World J Gastroenterol (2016) 22(44):9694–705. doi: 10.3748/wjg.v22.i44.9694

  • CrossRef
  • Google Scholar

• 175

  GoralV. Pancreatic cancer: Pathogenesis and diagnosis. Asian Pacif J Cancer Prevent: APJCP (2015) 16(14):5619–24. doi: 10.7314/APJCP.2015.16.14.5619

  • CrossRef
  • Google Scholar

• 176

  GuptaRAmanamIChungV. Current and future therapies for advanced pancreatic cancer. J Surg Oncol (2017) 116(1):25–34. doi: 10.1002/jso.24623

  • CrossRef
  • Google Scholar

• 177

  HidalgoM. Pancreatic cancer. New Engl J Med (2010) 362(17):1605–17. doi: 10.1056/NEJMra0901557

  • CrossRef
  • Google Scholar

• 178

  RoblessEEHowardJACasariIFalascaM. Exosomal long non-coding RNAs in the diagnosis and oncogenesis of pancreatic cancer. Cancer Lett (2021) 501:55–65. doi: 10.1016/j.canlet.2020.12.005

  • CrossRef
  • Google Scholar

• 179

  FukudaKKobayashiAWatabeK. The role of tumor-associated macrophage in tumor progression. Front Biosci Scholar (2012) 4(2):787–98.

  • Google Scholar

• 180

  LaouiDVan OvermeireEDe BaetselierPVan GinderachterJARaesG. Functional relationship between tumor-associated macrophages and macrophage colony-stimulating factor as contributors to cancer progression. Front Immunol (2014) 5:489. doi: 10.3389/fimmu.2014.00489

  • CrossRef
  • Google Scholar

• 181

  KuraharaHShinchiHMatakiYMaemuraKNomaHKuboFet al. Significance of M2-polarized tumor-associated macrophage in pancreatic cancer. J Surg Res (2011) 167(2):e211–e9. doi: 10.1016/j.jss.2009.05.026

  • CrossRef
  • Google Scholar

• 182

  ZhengPLuoQWangWLiJWangTWangPet al. Tumor-associated macrophages-derived exosomes promote the migration of gastric cancer cells by transfer of functional apolipoprotein e. Cell Death Dis (2018) 9(4):1–14. doi: 10.1038/s41419-018-0465-5

  • CrossRef
  • Google Scholar

• 183

  LvMShenYYangJLiSWangBChenZet al. Angiomotin family members: Oncogenes or tumor suppressors? Int J Biol Sci (2017) 13(6):772–81. doi: 10.7150/ijbs.19603

  • CrossRef
  • Google Scholar

• 184

  WangYLiZXuPHuangLTongJHuangHet al. Angiomotin-like2 gene (amotl2) is required for migration and proliferation of endothelial cells during angiogenesis. J Biol Chem (2011) 286(47):41095–104. doi: 10.1074/jbc.M111.296806

  • CrossRef
  • Google Scholar

• 185

  JiangWGWatkinsGDouglas-JonesAHolmgrenLManselRE. Angiomotin and angiomotin like proteins, their expression and correlation with angiogenesis and clinical outcome in human breast cancer. BMC Cancer (2006) 6:16. doi: 10.1186/1471-2407-6-16

  • CrossRef
  • Google Scholar

• 186

  CuiRJiangNZhangMDuSOuHGeRet al. AMOTL2 inhibits JUN Thr239 dephosphorylation by binding PPP2R2A to suppress the proliferation in non-small cell lung cancer cells. Biochim Biophys Acta Mol Cell Res (2021) 1868(1):118858. doi: 10.1016/j.bbamcr.2020.118858

  • CrossRef
  • Google Scholar

• 187

  HanHYangBWangW. Angiomotin-like 2 interacts with and negatively regulates AKT. Oncogene (2017) 36(32):4662–9. doi: 10.1038/onc.2017.101

  • CrossRef
  • Google Scholar

• 188

  SmithRAAndrewsKSBrooksDFedewaSAManassaram-BaptisteDSaslowDet al. Cancer screening in the united states, 2019: A review of current American cancer society guidelines and current issues in cancer screening. CA Cancer J Clin (2019) 69(3):184–210. doi: 10.3322/caac.21557

  • CrossRef
  • Google Scholar

• 189

  SiegelRLMillerKD. Cancer statistics. CA: A Cancer Journal for Clinicians (2019) 69(1):7–34.

  • Google Scholar

• 190

  YuJFengQWongSHZhangDLiangQYQinYet al. Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer. Gut (2017) 66(1):70–8. doi: 10.1136/gutjnl-2015-309800

  • CrossRef
  • Google Scholar

• 191

  LiangYWangWFangCRajSSHuWMLiQWet al. Clinical significance and diagnostic value of serum CEA, CA19-9 and CA72-4 in patients with gastric cancer. Oncotarget (2016) 7(31):49565–73. doi: 10.18632/oncotarget.10391

  • CrossRef
  • Google Scholar

• 192

  RahmAKCragunDHunterJEEpsteinMMLoweryJLuCYet al. Implementing universal lynch syndrome screening (IMPULSS): protocol for a multi-site study to identify strategies to implement, adapt, and sustain genomic medicine programs in different organizational contexts. BMC Health Serv Res (2018) 18(1):824. doi: 10.1186/s12913-018-3636-2

  • CrossRef
  • Google Scholar

• 193

  FillonM. Patients with advanced-stage cancer may benefit from telerehabilitation. CA Cancer J Clin (2019) 69(5):349–50. doi: 10.3322/caac.21575

  • CrossRef
  • Google Scholar

• 194

  WuQLiuWWangJZhuLWangZPengY. Exosomal noncoding RNAs in colorectal cancer. Cancer Lett (2020) 493:228–35. doi: 10.1016/j.canlet.2020.08.037

  • CrossRef
  • Google Scholar

• 195

  YangY-NZhangRDuJ-WYuanH-HLiY-JWeiX-Let al. Predictive role of UCA1-containing exosomes in cetuximab-resistant colorectal cancer. Cancer Cell Int (2018) 18(1):1–11. doi: 10.1186/s12935-018-0660-6

  • CrossRef
  • Google Scholar

• 196

  DengXRuanHZhangXXuXZhuYPengHet al. Long noncoding RNA CCAL transferred from fibroblasts by exosomes promotes chemoresistance of colorectal cancer cells. Int J Cancer (2020) 146(6):1700–16. doi: 10.1002/ijc.32608

  • CrossRef
  • Google Scholar

• 197

  SobierajskaKWieczorekKCiszewskiWMSacewicz-HofmanIWawroMEWiktorskaMet al. β-III tubulin modulates the behavior of snail overexpressed during the epithelial-to-mesenchymal transition in colon cancer cells. Biochim Biophys Acta (2016) 1863(9):2221–33. doi: 10.1016/j.bbamcr.2016.05.008

  • CrossRef
  • Google Scholar

• 198

  WawroMESobierajskaKCiszewskiWMWagnerWFrontczakMWieczorekKet al. Tubulin beta 3 and 4 are involved in the generation of early fibrotic stages. Cell Signal (2017) 38:26–38. doi: 10.1016/j.cellsig.2017.06.014

  • CrossRef
  • Google Scholar

• 199

  ManoharanRSeongHAHaH. Thioredoxin inhibits MPK38-induced ASK1, TGF-β, and p53 function in a phosphorylation-dependent manner. Free Radical Biol Med (2013) 63:313–24. doi: 10.1016/j.freeradbiomed.2013.05.020

  • CrossRef
  • Google Scholar

• 200

  MeelMHde GooijerMC. MELK inhibition in diffuse intrinsic pontine glioma. Clin Cancer Res (2018) 24(22):5645–57. doi: 10.1158/1078-0432.CCR-18-0924

  • CrossRef
  • Google Scholar

• 201

  WangYBegleyMLiQHuangHTLakoAEckMJet al. Mitotic MELK-eIF4B signaling controls protein synthesis and tumor cell survival. Proc Natl Acad Sci U States A (2016) 113(35):9810–5. doi: 10.1073/pnas.1606862113

  • CrossRef
  • Google Scholar

• 202

  GongXChenZHanQChenCJingLLiuYet al. Sanguinarine triggers intrinsic apoptosis to suppress colorectal cancer growth through disassociation between STRAP and MELK. BMC cancer (2018) 18(1):578. doi: 10.1186/s12885-018-4463-x

  • CrossRef
  • Google Scholar

• 203

  ZhaoYDuTDuLLiPLiJDuanWet al. Long noncoding RNA LINC02418 regulates MELK expression by acting as a ceRNA and may serve as a diagnostic marker for colorectal cancer. Cell Death Dis (2019) 10(8):1–13. doi: 10.1038/s41419-019-1804-x

  • CrossRef
  • Google Scholar

• 204

  ChiossoneLDumasPY. Natural killer cells and other innate lymphoid cells in cancer. Immunol Lett (2018) 18(11):671–88. doi: 10.1038/s41577-018-0061-z

  • CrossRef
  • Google Scholar

• 205

  CerboniCSantoniAZingoniA. Cancer exosomes as conveyors of stress-induced molecules: new players in the modulation of NK cell response. Int J Mol Sci (2019) 20(3):611. doi: 10.3390/ijms20030611

  • CrossRef
  • Google Scholar

• 206

  ZhangPFGaoCHuangXYLuJCGuoXJShiGMet al. Cancer cell-derived exosomal circUHRF1 induces natural killer cell exhaustion and may cause resistance to anti-PD1 therapy in hepatocellular carcinoma. Mol Cancer (2020) 19(1):110. doi: 10.1186/s12943-020-01222-5

  • CrossRef
  • Google Scholar

• 207

  KleffelSPoschCBarthelSRMuellerHSchlapbachCGuenovaEet al. Melanoma cell-intrinsic PD-1 receptor functions promote tumor growth. Cell (2015) 162(6):1242–56. doi: 10.1016/j.cell.2015.08.052

  • CrossRef
  • Google Scholar

• 208

  LiHLiXLiuSGuoLZhangBZhangJet al. Programmed cell death-1 (PD-1) checkpoint blockade in combination with a mammalian target of rapamycin inhibitor restrains hepatocellular carcinoma growth induced by hepatoma cell-intrinsic PD-1. Hepatol (Baltimore Md) (2017) 66(6):1920–33. doi: 10.1002/hep.29360

  • CrossRef
  • Google Scholar

• 209

  YaoHWangHLiCFangJYXuJ. Cancer cell-intrinsic PD-1 and implications in combinatorial immunotherapy. Front Immunol (2018) 9:1774. doi: 10.3389/fimmu.2018.01774

  • CrossRef
  • Google Scholar

• 210

  GuoJZhaoJFuWXuQHuangD. Immune evasion and drug resistance mediated by USP22 in cancer: Novel targets and mechanisms. Front Immunol (2022) 13. doi: 10.3389/fimmu.2022.918314

  • CrossRef
  • Google Scholar

• 211

  WangYSunQMuNSunXWangYFanSet al. The deubiquitinase USP22 regulates PD-L1 degradation in human cancer cells. Cell Commun Signaling (2020) 18(1):1–13. doi: 10.1186/s12964-020-00612-y

  • CrossRef
  • Google Scholar

• 212

  HuangXZhangXBaiXLiangT. Blocking PD-L1 for anti-liver cancer immunity: USP22 represents a critical cotarget. Cell Mol Immunol (2020) 17(7):677–9. doi: 10.1038/s41423-019-0348-4

  • CrossRef
  • Google Scholar

• 213

  SchrecengostRSDeanJLGoodwinJFSchiewerMJUrbanMWStanekTJet al. USP22 regulates oncogenic signaling pathways to drive lethal cancer progression. Cancer Res (2014) 74(1):272–86. doi: 10.1158/0008-5472.CAN-13-1954

  • CrossRef
  • Google Scholar

• 214

  SalehiMMoradi-LakehMSalehiMHNojomiMKolahdoozF. Meat, fish, and esophageal cancer risk: a systematic review and dose-response meta-analysis. Nutr Rev (2013) 71(5):257–67. doi: 10.1111/nure.12028

  • CrossRef
  • Google Scholar

• 215

  ShiHLiuZPeiDJiangYZhuHChenB. Development and validation of nomogram based on lncRNA ZFAS1 for predicting survival in lymph node-negative esophageal squamous cell carcinoma patients. Oncotarget (2017) 8(35):59048–57. doi: 10.18632/oncotarget.19937

  • CrossRef
  • Google Scholar

• 216

  ShahMA. Update on metastatic gastric and esophageal cancers. J Clin Oncol: Off J Am Soc Clin Oncol (2015) 33(16):1760–9. doi: 10.1200/JCO.2014.60.1799

  • CrossRef
  • Google Scholar

• 217

  Ríos-GalvezSMeixueiro-DazaARemes-TrocheJM. Achalasia: a risk factor that must not be forgotten for esophageal squamous cell carcinoma. BMJ Case Rep (2015) 2015. doi: 10.1136/bcr-2014-204418

  • CrossRef
  • Google Scholar

• 218

  JingZChenKGongL. The significance of exosomes in pathogenesis, diagnosis, and treatment of esophageal cancer. Int J Nanomed (2021) 16:6115. doi: 10.2147/IJN.S321555

  • CrossRef
  • Google Scholar

• 219

  HashimotoYSkacelMAdamsJC. Roles of fascin in human carcinoma motility and signaling: prospects for a novel biomarker? Int J Biochem Cell Biol (2005) 37(9):1787–804. doi: 10.1016/j.biocel.2005.05.004

  • CrossRef
  • Google Scholar

• 220

  AkanumaNHoshinoIAkutsuYMurakamiKIsozakiYMaruyamaTet al. MicroRNA-133a regulates the mRNAs of two invadopodia-related proteins, FSCN1 and MMP14, in esophageal cancer. Br J Cancer (2014) 110(1):189–98. doi: 10.1038/bjc.2013.676

  • CrossRef
  • Google Scholar

• 221

  KashimaHNomaK. Cancer-associated fibroblasts (CAFs) promote the lymph node metastasis of esophageal squamous cell carcinoma. Int J Cancer (2019) 144(4):828–40. doi: 10.1002/ijc.31953

  • CrossRef
  • Google Scholar

• 222

  Ringuette GouletCBernardGTremblaySChabaudSBolducSPouliotF. Exosomes induce fibroblast differentiation into cancer-associated fibroblasts through TGFβ signaling. Mol Cancer Res: MCR (2018) 16(7):1196–204. doi: 10.1158/1541-7786.MCR-17-0784

  • CrossRef
  • Google Scholar

• 223

  Gok YavuzBGunaydinGGedikMEKosemehmetogluKKarakocDOzgurFet al. Cancer associated fibroblasts sculpt tumour microenvironment by recruiting monocytes and inducing immunosuppressive PD-1+ TAMs. Sci Rep (2019) 9(1):1–15.

  • Google Scholar

• 224

  KinoshitaAOnodaHImaiNIwakuAOishiMFushiyaNet al. Comparison of the prognostic value of inflammation-based prognostic scores in patients with hepatocellular carcinoma. Br J Cancer (2012) 107(6):988–93. doi: 10.1038/bjc.2012.354

  • CrossRef
  • Google Scholar

• 225

  WilsonTRFridlyandJYanYPenuelEBurtonLChanEet al. Widespread potential for growth-factor-driven resistance to anticancer kinase inhibitors. Nature (2012) 487(7408):505–9. doi: 10.1038/nature11249

  • CrossRef
  • Google Scholar

• 226

  MaJSongXXuXMouY. Cancer-associated fibroblasts promote the chemo-resistance in gastric cancer through secreting IL-11 targeting JAK/STAT3/Bcl2 pathway. Cancer Res Treat (2019) 51(1):194–210. doi: 10.4143/crt.2018.031

  • CrossRef
  • Google Scholar

• 227

  TanakaKMiyataHSugimuraKFukudaSKanemuraTYamashitaKet al. miR-27 is associated with chemoresistance in esophageal cancer through transformation of normal fibroblasts to cancer-associated fibroblasts. Carcinogenesis (2015) 36(8):894–903. doi: 10.1093/carcin/bgv067

  • CrossRef
  • Google Scholar

• 228

  ShintaniYFujiwaraAKimuraTKawamuraTFunakiSMinamiMet al. IL-6 secreted from cancer-associated fibroblasts mediates chemoresistance in NSCLC by increasing epithelial-mesenchymal transition signaling. J Thorac Oncol: Off Publ Int Assoc Study Lung Cancer (2016) 11(9):1482–92. doi: 10.1016/j.jtho.2016.05.025

  • CrossRef
  • Google Scholar

• 229

  LingenMWKalmarJRKarrisonTSpeightPM. Critical evaluation of diagnostic aids for the detection of oral cancer. Oral Oncol (2008) 44(1):10–22. doi: 10.1016/j.oraloncology.2007.06.011

  • CrossRef
  • Google Scholar

• 230

  BarnesLEvesonJWSidranskyDReichartP. Pathology and genetics of head and neck tumours. (New York, USA: IARC) (2005).

  • Google Scholar

• 231

  WarnakulasuriyaS. Global epidemiology of oral and oropharyngeal cancer. Oral Oncol (2009) 45(4-5):309–16. doi: 10.1016/j.oraloncology.2008.06.002

  • CrossRef
  • Google Scholar

• 232

  WangYZhangMZhouF. Biological functions and clinical applications of exosomal long non-coding RNAs in cancer. J Cell Mol Med (2020) 24(20):11656–66. doi: 10.1111/jcmm.15873

  • CrossRef
  • Google Scholar

• 233

  SaloTVeredMBelloIONybergPBituCCHurvitzAZet al. Insights into the role of components of the tumor microenvironment in oral carcinoma call for new therapeutic approaches. Exp Cell Res (2014) 325(2):58–64. doi: 10.1016/j.yexcr.2013.12.029

  • CrossRef
  • Google Scholar

• 234

  CaseySCAmedeiAAquilanoKAzmiASBenenciaFBhaktaDet al. Cancer prevention and therapy through the modulation of the tumor microenvironment. In: Semin Cancer Biol. Elsevier (2015) 35Suppl(Suppl):S199–223.

  • Google Scholar

• 235

  MitraAKZillhardtMHuaYTiwariPMurmannAEPeterMEet al. MicroRNAs reprogram normal fibroblasts into cancer-associated fibroblasts in ovarian CancermiRNAs regulate CAFs. Cancer Discov (2012) 2(12):1100–8. doi: 10.1158/2159-8290.CD-12-0206

  • CrossRef
  • Google Scholar

• 236

  ZeisbergEMPotentaSESugimotoHZeisbergMKalluriR. Fibroblasts in kidney fibrosis emerge via endothelial-to-mesenchymal transition. J Am Soc Nephrol (2008) 19(12):2282–7. doi: 10.1681/ASN.2008050513

  • CrossRef
  • Google Scholar

• 237

  KiddSSpaethEWatsonKBurksJLuHKloppAet al. Origins of the tumor microenvironment: Quantitative assessment of adipose-derived and bone marrow–derived stroma. PloS One (2012) 7(2):e30563. doi: 10.1371/journal.pone.0030563

  • CrossRef
  • Google Scholar

• 238

  KiddSSpaethEDembinskiJLDietrichMWatsonKKloppAet al. Direct evidence of mesenchymal stem cell tropism for tumor and wounding microenvironments using in vivo bioluminescent imaging. Stem Cells (2009) 27(10):2614–23. doi: 10.1002/stem.187

  • CrossRef
  • Google Scholar

• 239

  AbeRDonnellySCPengTBucalaRMetzCN. Peripheral blood fibrocytes: differentiation pathway and migration to wound sites. J Immunol (2001) 166(12):7556–62. doi: 10.4049/jimmunol.166.12.7556

  • CrossRef
  • Google Scholar

• 240

  MarshTPietrasKMcAllisterSS. Fibroblasts as architects of cancer pathogenesis. Biochim Biophys Acta (BBA) Molecular Basis Dis (2013) 1832(7):1070–8. doi: 10.1016/j.bbadis.2012.10.013

  • CrossRef
  • Google Scholar

• 241

  WuM-HHongH-CHongT-MChiangW-FJinY-TChenY-L. Targeting galectin-1 in carcinoma-associated fibroblasts inhibits oral squamous cell carcinoma metastasis by downregulating MCP-1/CCL2 expression. Clin Cancer Res (2011) 17(6):1306–16. doi: 10.1158/1078-0432.CCR-10-1824

  • CrossRef
  • Google Scholar

• 242

  McGlynnKAPetrickJLEl-SeragHB. Epidemiology of hepatocellular carcinoma. Hepatology (2021) 73(S1):4–13. doi: 10.1002/hep.31288

  • CrossRef
  • Google Scholar

• 243

  YousefpouranSMostafaeiSManeshPVIranifarEBokharaei-SalimFNahandJSet al. The assessment of selected MiRNAs profile in HIV, HBV, HCV, HIV/HCV, HIV/HBV Co-infection and elite controllers for determination of biomarker. Microb Pathogen (2020) 147:104355. doi: 10.1016/j.micpath.2020.104355

  • CrossRef
  • Google Scholar

• 244

  FornerALlovetJMBruixJ. Hepatocellular carcinoma. Lancet (London England) (2012) 379(9822):1245–55. doi: 10.1016/S0140-6736(11)61347-0

  • CrossRef
  • Google Scholar

• 245

  NishidaNNagasakaTNishimuraTIkaiIBolandCRGoelA. Aberrant methylation of multiple tumor suppressor genes in aging liver, chronic hepatitis, and hepatocellular carcinoma. Hepatol (Baltimore Md) (2008) 47(3):908–18. doi: 10.1002/hep.22110

  • CrossRef
  • Google Scholar

• 246

  DangHTakaiAForguesMPomyenYMouHXueWet al. Oncogenic activation of the RNA binding protein NELFE and MYC signaling in hepatocellular carcinoma. Cancer Cell (2017) 32(1):101–14.e8. doi: 10.1016/j.ccell.2017.06.002

  • CrossRef
  • Google Scholar

• 247

  RovidaEDi MairaGTusaICannitoSPaternostroCNavariNet al. The mitogen-activated protein kinase ERK5 regulates the development and growth of hepatocellular carcinoma. Gut (2015) 64(9):1454–65. doi: 10.1136/gutjnl-2014-306761

  • CrossRef
  • Google Scholar

• 248

  AllyABalasundaramMCarlsenRChuahEClarkeADhallaNet al. Comprehensive and integrative genomic characterization of hepatocellular carcinoma. Cell (2017) 169(7):1327–41.e23.

  • Google Scholar

• 249

  LiLBiYDiaoSLiXYuanTXuTet al. Exosomal LncRNAs and hepatocellular carcinoma: From basic research to clinical practice. Biochem Pharmacol (2022) 115032. doi: 10.1016/j.bcp.2022.115032

  • CrossRef
  • Google Scholar

• 250

  Ghafouri-FardSNajafiSHussenBMGanjoARTaheriMSamadianM. DLX6-AS1: A long non-coding RNA with oncogenic features. Front Cell Dev Biol (2022) 10:746443–. doi: 10.3389/fcell.2022.746443

  • CrossRef
  • Google Scholar

• 251

  LiLYanJXuJLiuCQZhenZJChenHWet al. CXCL17 expression predicts poor prognosis and correlates with adverse immune infiltration in hepatocellular carcinoma. PloS One (2014) 9(10):e110064. doi: 10.1371/journal.pone.0110064

  • CrossRef
  • Google Scholar

• 252

  WangLLiHZhenZMaXYuWZengHet al. CXCL17 promotes cell metastasis and inhibits autophagy via the LKB1-AMPK pathway in hepatocellular carcinoma. Gene (2019) 690:129–36. doi: 10.1016/j.gene.2018.12.043

  • CrossRef
  • Google Scholar

• 253

  ZhaoBLiLLeiQGuanKL. The hippo-YAP pathway in organ size control and tumorigenesis: an updated version. Genes Dev (2010) 24(9):862–74. doi: 10.1101/gad.1909210

  • CrossRef
  • Google Scholar

• 254

  HansenCGMoroishiTGuanKL. YAP and TAZ: a nexus for hippo signaling and beyond. Trends Cell Biol (2015) 25(9):499–513. doi: 10.1016/j.tcb.2015.05.002

  • CrossRef
  • Google Scholar

• 255

  MengZMoroishiTGuanKL. Mechanisms of hippo pathway regulation. Genes Dev (2016) 30(1):1–17. doi: 10.1101/gad.274027.115

  • CrossRef
  • Google Scholar

• 256

  PancieraTAzzolinLCordenonsiMPiccoloS. Mechanobiology of YAP and TAZ in physiology and disease. Nat Rev Mol Cell Biol (2017) 18(12):758–70. doi: 10.1038/nrm.2017.87

  • CrossRef
  • Google Scholar

• 257

  ArdestaniALupseBMaedlerK. Hippo signaling: Key emerging pathway in cellular and whole-body metabolism. Trends Endocrinol Metab: TEM (2018) 29(7):492–509. doi: 10.1016/j.tem.2018.04.006

  • CrossRef
  • Google Scholar

• 258

  BertiniEOkaTSudolMStranoSBlandinoG. YAP: at the crossroad between transformation and tumor suppression. Cell Cycle (Georgetown Tex) (2009) 8(1):49–57. doi: 10.4161/cc.8.1.7259

  • CrossRef
  • Google Scholar

• 259

  ZhangXLiYMaYYangLWangTMengXet al. Yes-associated protein (YAP) binds to HIF-1α and sustains HIF-1α protein stability to promote hepatocellular carcinoma cell glycolysis under hypoxic stress. J Exp Clin Cancer Res: CR (2018) 37(1):216.

  • Google Scholar

• 260

  LiCWangSXingZLinALiangKSongJet al. A ROR1-HER3-lncRNA signalling axis modulates the hippo-YAP pathway to regulate bone metastasis. Nat Cell Biol (2017) 19(2):106–19. doi: 10.1038/ncb3464

  • CrossRef
  • Google Scholar

• 261

  RegeTAHagoodJS. Thy-1, a versatile modulator of signaling affecting cellular adhesion, proliferation, survival, and cytokine/growth factor responses. Biochim Biophys Acta (2006) 1763(10):991–9. doi: 10.1016/j.bbamcr.2006.08.008

  • CrossRef
  • Google Scholar

• 262

  HerreraMBBrunoSButtiglieriSTettaCGattiSDeregibusMCet al. Isolation and characterization of a stem cell population from adult human liver. Stem Cells (Dayton Ohio) (2006) 24(12):2840–50. doi: 10.1634/stemcells.2006-0114

  • CrossRef
  • Google Scholar

• 263

  SukowatiCHAnfusoBTorreGFrancalanciPCrocèLSTiribelliC. The expression of CD90/Thy-1 in hepatocellular carcinoma: an in vivo and in vitro study. PloS One (2013) 8(10):e76830. doi: 10.1371/journal.pone.0076830

  • CrossRef
  • Google Scholar

• 264

  LuJWChangJGYehKTChenRMTsaiJJHuRM. Overexpression of Thy1/CD90 in human hepatocellular carcinoma is associated with HBV infection and poor prognosis. Acta Histochem (2011) 113(8):833–8. doi: 10.1016/j.acthis.2011.01.001

  • CrossRef
  • Google Scholar

• 265

  YuXHXuLBLiuCZhangRWangJ. Clinicopathological characteristics of 20 cases of hepatocellular carcinoma with bile duct tumor thrombi. Digest Dis Sci (2011) 56(1):252–9. doi: 10.1007/s10620-010-1256-8

  • CrossRef
  • Google Scholar

• 266

  LingalaSCuiYYChenXRuebnerBHQianXFZernMAet al. Immunohistochemical staining of cancer stem cell markers in hepatocellular carcinoma. Exp Mol Pathol (2010) 89(1):27–35. doi: 10.1016/j.yexmp.2010.05.005

  • CrossRef
  • Google Scholar

• 267

  FangLZhangHBLiHFuYYangGS. miR-548c-5p inhibits proliferation and migration and promotes apoptosis in CD90(+) HepG2 cells. Radiol Oncol (2012) 46(3):233–41. doi: 10.2478/v10019-012-0025-z

  • CrossRef
  • Google Scholar