Abstract
Lung squamous cell carcinoma (LUSC) remains as a major cause of cancer-associated mortality with few therapeutic options. Continued research on new driver genes is particularly important. FGF19, a fibroblast growth factor, is frequently observed as amplified in human LUSC, which is also associated with multiple genomic gains and losses. However, the importance of these associated changes is largely unknown. In this study, we aimed to clarify a novel mechanism that link neighboring oncogene co-amplification in the development of LUSC. We found that FGF19 was co-amplified and co-expressed with its neighboring gene CCND1 in a subset of LUSC patients and associated with poor prognosis. Moreover, FGF19 combined with CCND1 promoted the cell cycle progression of LUSC cells. Mechanistically, FGF19 also enhanced CCND1 expression by activating FGFR4-ERK1/2 signaling and strengthening CCND1-induced phosphorylation and inactivation of retinoblastoma (RB). In a murine model of lung orthotopic cancer, knockdown of CCND1 was found to prolong survival by attenuating FGF19-induced cell proliferation. Furthermore, the combination treatment of the FGFR4 inhibitor BLU9931 and the CDK4/6 inhibitor palbociclib potentiated the growth inhibition and arrested cells in G1 phase. In vivo, co-targeting FGFR4 and CDK4/6 also showed marked inhibition of tumor growth than single agent treatment. These findings further elucidate the oncogenic role of FGF19 in LUSC and provide insights into how the co-amplification of neighboring genes synergistically function to promote cancer growth, and combined inhibition against both FGF19 and CCND1 is more effective.
Introduction
Lung cancer is the leading cause of cancer-related death around the world (, ). The therapy of lung adenocarcinoma (LUAD), especially the targeted therapy against driver genes, has made significant progress, but patients with lung squamous cell carcinoma (LUSC) have benefited little from targeted therapy (, ). Thus, it is essential to search for potential driving factors/genes in LUSC and identify the effectiveness of targeted therapy and propose more effective treatment schemes.
Amplification of chromosomal regions can play important roles in carcinogenesis. Amplification of specific chromosomal sites not only affect individual genes, but also cause the overexpression of neighboring genes (). The amplified neighboring genes may cooperate to promote tumor initiation and progression, and the relevant mechanism depends on the molecular relationship between the neighboring genes themselves (, ). Understanding the cooperative mechanism of co-amplified genes may help formulate new therapeutic strategies for lung cancer. Our previous studies have found that the amplified region 11q13.3 containing fibroblast growth factor 19 (FGF19) and cyclin D1 (CCND1) in smoking-LUSC patients appear frequently. However, whether they have a synergistic interaction has not been further explored ().
FGF signals regulate various biological processes during development and adulthood through FGF receptor (FGFR) tyrosine kinases (). The FGF19 subfamily, particularly, FGF19, FGF21, and FGF23, acts as hormones or endocrine factors that bind to specific receptors (). Under normal circumstances, FGF19 is secreted from the intestinal tract, and binds to FGFR4 on liver cells through the hepatoenteral circulation to regulate a variety of metabolic processes, namely, the metabolism of glucose, lipid, and bile acid, and gallbladder filling (–). In disease states, FGF19 is crucial for the development and progression of several cancers such as head and neck squamous cell carcinoma (), hepatocellular carcinoma (), and lung cancer (). The beginning of cell division integrates a large amount of intracellular and extracellular inputs. Cyclin D connects these inputs to the start of DNA replication (). Under the stimulation of extracellular signals like mitogens, cytokines, cell–cell contacts and differentiation inducers, cyclin D promotes cell division by activating CDK4/6, which in turn phosphorylates the retinoblastoma (RB) tumor suppressor leading to unrestrained E2F transcription factors, E2F-dependent transcription activation and progression through G1 to S phase (, ). Therefore, the increase in the level and activity of the cyclin D-CDK4/6 complex is closely related to uninhibited cell proliferation and cancer (, ). CCND1, a crucial member of the CCND family, is an established human oncogene. There has been a substantial evidence that CCND1 involves in a variety of cancers, namely, breast cancer, lung cancer, melanoma, and oral squamous cell carcinoma ().
Here, we demonstrated with more extensive and sufficient data that FGF19 frequently co-amplified with its neighboring gene CCND1 in LUSC. CCND1 expression was also upregulated by FGF19 through the FGF19–FGFR4–ERK1/2 signaling pathway. FGF19 enhanced CCND1-induced RB phosphorylation and promoted cell cycle progression. Knockdown of CCND1 was found to prolong survival by attenuating FGF19-induced cell proliferation in a murine lung cancer model. In addition, co-targeting FGFR4 and CDK4/6 could significantly inhibit FGF19-driven LUSC proliferation and tumor growth in vitro and in mouse models. Thus, these findings further elucidate the oncogenic role of FGF19 in LUSC and provide insights into how the co-amplification of neighboring genes synergistically function to promote cancer growth, and combined inhibition against both genes is more effective.
Materials and Methods
Clinical Tissue Samples
Sixteen human LUSC tissue samples were obtained from the Shanghai Chest Hospital from January 2017 to November 2017. Our previous work had summarized all the clinical pathological characteristics of the samples (). The study is approved by the Research Ethics Committee of the School of Biomedical Engineering, Shanghai Jiao Tong University.
Cell Culture and Reagents
H520, SK-MES-1, HCC95, and H1703 were purchased from the American Type Culture Collection (ATCC). H520, HCC95, and H1703 cultured using 1640 (HyClone) and SK-MES-1 cultured using MEM (HyClone) with non-essential amino acids solution (Gibco, 11140050) and Sodium Pyruvate (Gibco, 11360070). All medium supplemented with 10% fetal bovine serum (Lonsera, S711-001S), 100 U/ml penicillin, and 100 μg/ml streptomycin (Hyclone, SV30010). All cell lines were grown at 37°C with a humidified 5% CO2 atmosphere. Recombinant human FGF19 protein (R&D SYSTEMS, 969-FG) was used to activate FGFR4. All inhibitor were purchased from the MedChemExpress and dissolved in DMSO, and then, were aliquoted and stored as 10 mM stocks at −80°C for in vitro studies.
Lentivirus Transduction and Generation of Stable Cell Lines
Human full-length FGF19 gene was amplified from ORF plasmids (OriGene, #RC203750) and cloned into pCDH-CMV-MCS-EF1-copGFP backbone (Addgene plasmid, #72265) to construct plasmid for lentivirus production. HEK293T cells were transfected with FGF19-overexpression plasmid or empty vector, accompanied by pCMV-VSV-G/pCMV-dR8.2 plasmids. Mature FGF19 overexpression lentivirus and control lentivirus were obtained by ultracentrifugation. FGF19 shRNA lentiviruses and CCND1 shRNA were constructed by the GENECHEM Biotechnology Co. Ltd. (Shanghai, China). Cells were transfected with lentivirus in 24-well plate at 50% confluency, and then stably transfected cells were sorted by flow cytometry.
Western Blot, RNA Extraction, cDNA Synthesis, and Quantitative Real-Rime PCR (qRT-PCR) Analysis
Cells were lysed for protein or RNA extraction, and subjected to western blot or cDNA synthesis and qRT-PCR was as previously described (). Antibodies for western blot were as follows: β-Actin (Proteintech,66009-1-Ig), β-Tubulin (Proteintech, 66240-1-Ig), FGF19 (R&D System, AF969), FGFR4 (R&D System, MAB6852), FRS2 (Abcam, ab10425), pFRS2 (R&D System, AF5126), goat anti-mouse IgG-HRP (Jackson ImmunoResearch, 115-035-003), goat anti-rabbit IgG-HRP (Jackson ImmunoResearch, 111-035-003), donkey anti-Goat IgG-HRP (Sangon Biotech, D110115) and other antibodies were obtained from the Cell Signaling Technology. Primers for qPCR were as following: CCND1, forward 5′-GTCCTACTTCAAATGTGTGCAG-3′, reverse 5′-GGGATGGTCTCCTTCATCTTAG-3′; GAPDH forward 5′-GGAGCGAGATCCCTCCAAAAT-3′, reverse 5′-GGCTGTTGTCATACTTCTCATGG-3′.
Cell Cycle Analysis
Cells were grown to a density of 90% in a 6-well plate and collected by trypsinization. Then, the cells were fixed with 70% cold ethanol at −20°C overnight. The fixed cells were washed with PBS and treated with 100 μg/mL RNase A for 30 min at 37°C, and stained with propidium iodide (PI) at 50 μg/mL in the dark for 10 min at room temperature. Subsequently, at least 10,000 cells in each sample were analyzed by flow cytometry (BD FACS Calibur). Finally, the Modfit LT 4.0 software (BD Biosciences) was used to quantify cell populations in G0/G1, S and G2/M phases.
mRNA-seq Analysis
LUSC cell line H520 was treated with BLU9931 (1 μM), palbociclib (1 μM) or their combination for 72 h and total RNA was extracted using an RNAiso reagent (Takara, 9109) according to the onstructions of the manufacturer, followed by treatment with RNase-free DNase I to remove genomic DNA contamination. A Qubit® RNA Assay Kit in Qubit®2.0 Flurometer (Life Technologies, CA, USA) was used to assess the quality and quantity of RNA. RNA-seq libraries were prepared using the Hieff NGS™ MaxUp Dual-mode mRNA Library Prep Kit for Illumina® (YEASEN, 12301ES96) and sequenced on the HiSeq XTen sequencers (Illumina, San Diego, CA). FastQC (version 0.11.2) was used to evaluate the quality of sequenced data. The gene expression value of the transcript was calculated by StringTie (version 1.3.3b). DESeq2 (version 1.12.4) was used to determine differential gene expression and gene was considered to be significant differentially expressed if |FoldChange| >2 and q-value <0.001.
Immunofluorescence (IF) and Immunohistochemistry Microscopy (IHC)
For IF, cells were seeded on coverslips (WHB, WHB-24-CS) in a 24-well plate. Then, immunofluorescence experiment was conducted as previously described (). The primary antibody is Ki-67 (Abcam, ab92742). The secondary antibody is donkey anti-rabbit IgG (H + L) highly cross-adsorbed, Alexa Fluor 594 (ThermoFisher, A-21207). Stained cells were observed and photographed with a laser scanning confocal microscopy (Leica TCS SP8). IHC experiment was performed as previously described (). The stained sections were photographed and the software Image J was used in result analysis.
Cell Counting Kit-8 (CCK-8) Assay
Cells (2,500 in 100 μl medium) were seeded into each well (N = 5) of a 96-well plate, and changed to medium with different concentrations of BLU9931 or palbociclib on the second day. After 72 h, 10 μl CCK8 reagent (YEASEN, #40203) was added and the optical density was measured at OD450 nm with a microplate reader (BioTek) after 1–4 h incubation.
Colony Formation Assay
Cells transfected with lentivirus were seeded in 6-well plates about 1,000–2,000 cells per well and cultured for 1–2 weeks to measure clonogenic ability. The cells were fixed with 4% PFA for 10 min and stained with 0.1% crystal violet for 20 min, and then washed with water and followed by air drying. The colonies were photographed and then quantified based on percentage of colony area per well using ImageJ software.
Intracellular Lactate Dehydrogenase (LDH) Assay
The intracellular LDH assay was performed to measure the levels of cell survival. LDH assay was modified from Wang′s previous studies (). In brief, cells were lysed for 15 min in lysing buffer containing 2 mM HEPES, 0.04% Triton X-100 and 0.01% BSA (pH 7.5). Then 50 μl cell lysate was mixed with 150 μl 500 mM potassium phosphate buffer (pH 7.5) containing 2.5 mM sodium pyruvate and 0.34 mM NADH. The A340 nm changes were monitored over 90 s. The cell survival rate was calculated by LDH value of the samples normalized with control culture wells.
Flow Cytometry Analysis
Cell apoptosis was measured by flow cytometry assay. Cells were treated with media containing 10% FBS ± inhibitors for 24 h. The ApoScreen Annexin V kit (Southern Biotech, Birmingham, AL, USA) was used for flow cytometry (FACS Aria II, BD Biosciences) to detect the level of apoptosis according to the protocol of the manufacturer and the data were analyzed by FlowJo software.
β-Galactosidase Staining
Cell senescence was quantified by measuring the β-galactosidase staining assay. Cells (3 × 105/well) were plated in 6-well plates in media containing 10% FBS and then treated with DMSO or 1 µM BLU9931 or 1 µM palbociclib or 1 µM BLU9931 plus 1 µM Palbociclib; and drugs were replenished every 3 days. After 7 days, cells were stained with β-galactosidase (Beyotime, RG0039) following the protocol of the manufacturer’. The cells were photographed under a light-field microscope, and β-galactosidase-positive cells were manually counted.
In Vivo Subcutaneous Lung Cancer Model
All mice were raised in the specific pathogen free (SPF) animal room of the Shanghai Jiao Tong University. Cell suspension of SK-MES-1 (2 × 106 cells) or H520 (1 × 106 cells) were injected subcutaneously into the right flanks of BALB/C nude mice in a volume of 50 μl. Mice body weights and tumor volumes were measured every 3 days. Tumor volumes were calculated as 0.5 × length × width2. After the tumor volume reached 100–200 mm3, the mice were randomly grouped (N = 5, per group) and enrolled into treatment groups. BLU9931 (MedChemExpress, HY-12823), diluted in a 1% (v/v) solution of Tween-80 (Sigma, P1754), was given to mice at 30 mg/kg body weight orally twice a day, and Palbociclib (MedChemExpress, HY-50767), diluted in 50 nM sodium D-lactate (TargetMol, T5220) was administered daily by oral gavage at 100 mg/kg body weight. After 3 weeks of treatment, tumors were collected and photographed. The tumor was divided into 3 parts: the first was directly fixed in 4% PFA and embedded in paraffin; the second part was dissociated into single cells and resuspended in 70% ice ethanol and placed in a storage at −20°C; and the last part was were lysed for protein and placed in a storage at −80°C. All animal experiments were performed following the regulations and internal biosafety and bioethics guidelines of the MED-X Research Institute, Shanghai Jiao Tong University (Shanghai, China).
In Vivo Orthotopic Lung Cancer Model and Bioluminescence Imaging (BLI)
An orthotopic lung cancer model construction method was modified from our and Peng′s previous studies (, ). In brief, 5-week-old male BALB/C nude mice were anesthetized by 3% tribromoethanol in sterile PBS, 100 μl per 10 g weight, and intraperitoneal injection. A 3 mm incision was sheared on the dorsal side over left lung, 0.5 cm below the scapula on mice (N = 15 per group). After separating the subcutaneous tissues and muscles, the movement of the lungs can be observed. Cell suspension of SK-MES-1 LV-FGF19 (2 × 106 cells) in a total volume of 50 μl (Matrigel: PBS = 1:4) were injected directly into the left lateral lung with insulin injection syringes (29 G ∗ 12.7 mm, BD, 328421). Mice that do not die after 3 days were considered to be successful in model construction, and then the body weight and survival period of the mice were recorded. After 25 days, 3 mice from each group were randomly selected for bioluminescent analysis. Bioluminescent signal was induced by intraperitoneal injection with 150 mg/kg D-luciferin (Meilunbio, MB1834) and imaged by the IVIS Lumina III Spectrum System (Perkin-Elmer, Waltham, MA, USA) after 10 min. Then, lungs were excised and photographed, followed by HE and PCNA staining. All the above animal experiments were performed in accordance with the protocol approved by the Institutional Ethics Committee of the Shanghai Jiao Tong University.
Analysis of Public Data Sets From the TCGA, Oncomine and Kaplan–Meier Plotter
Relative copy number and mRNA levels of FGF19 and CCND1 of the TCGA provisional LUSC were downloaded from the Oncomine database (https://www.oncomine.org) and the cBioPortal (http://www.cbioportal.org/index.do). Linear regression and Spearman correlations between mRNA levels of FGF19 and CCND1 were conducted.
Prognostic values of FGF19 and CCND1 mRNA levels were analyzed by Kaplan–Meier survival curves of NSCLC patients, using a Kaplan–Meier Plotter (www.kmplot.com/analysis) ().
Gene Set Enrichment Analysis (GSEA)
Gene Set Enrichment Analysis was performed using the GSEA software and the LUSC RNA-seq datasets were downloaded from the cBioPortal database (http://www.cbioportal.org/datasets), in which LUSC dataset (TCGA, Firehose Legacy) was used. The signaling pathway of the GO and KEGG datasets were ranked by the expression of FGF19 following the official user guide of the GSEA.
Statistical Analysis
All statistical analyses were performed using the GraphPad Prism 8 software. All data were presented as mean ± SD, and the paired or unpaired Student’s t-test or ANOVA were used to analyze the statistical significance between two groups. P-values less than 0.05 was considered statistically significant.
Results
FGF19 and CCND1 Are Co-Amplified and Co-Expressed in Human LUSC
We previously reported that FGF19 was frequently amplified (9/37, 24.3%) in smoking LUSC patients (, ). The oncogene CCND1, which is neighboring to FGF19 on the chromosome, was also highly amplified (7/37, 18.9%) in smoking LUSC and exhibited significant co-amplification with FGF19 (5/37, 13.5%) (Figure 1A). We also analyzed the copy number amplification of FGF19 and CCND1 in LUSC from the Oncomine database and the co-amplification of these two genes in the cBioPortal database. Consistently, copy numbers of FGF19 and CCND1 were increased compared with the normal lung tissues in the TCGA Lung 2 datasets and the Weiss Lung datasets (Figure 1B). In addition, FGF19 and CCND1 showed significant co-amplification in the TCGA datasets (Nature 2012, Firehose Legacy, PanCancer Atlas) (Figure 1C). This co-amplification could play an important role in the tumorigenesis of LUSC. We further examined whether FGF19 and CCND1 gene amplification promoted their own expression in LUSC. Indeed, the increased expression of FGF19 and CCND1 mRNA in LUSC corresponded to the amplification (Figure 1D), and these two genes showed significant co-expression (Figure 1E). To further confirm the correlation between gene amplification and expression, we performed statistical analysis on the individual level in the dataset (Figure 1F). We observed that the expression of FGF19 and CCND1 was significantly correlated with the amplification of the two genes at the individual level (Figure 1Fa) and the ratios of mRNA high for FGF19 and CCND1 given gene amplifications were significantly higher than those calculated in the global view [FGF19: 10.16% (= 8.47% + 1.69%) vs. 3.86% (= 1.50% + 2.36%), CCND1: 66.1% (= 8.47% + 57.63%) vs. 13.52% (= 1.50% + 12.02%)] (Figure 1Fc vs. Figure 1Fb). Furthermore, we noticed that under the background of FGF19 mRNA high, the CCND1 mRNA high rate was 83.3% (5/6) (Figure 1Fc). We assumed that the increased expression of CCND1 in LUSC was related to its amplification, and might also be related to high FGF19 expression. Immunohistochemical staining of 16 LUSC clinical samples also showed that the expression of CCND1 was significantly correlated with the expression of FGF19 (Figure 1G). Together, these findings have indicated that FGF19 and CCND1 are co-amplified and co-expressed in human LUSC.
Figure 1
FGF19 Enhances the Expression of CCND1 via FGF19–FGFR4–ERK1/2 Axis in LUSC
A number of growth factors are known to regulate CCND1 protein production (
Figure 2

FGF19 enhances CCND1 expression by FGF19-FGFR4-ERK1/2 axis in LUSC cells. (A) Recombinant human FGF19 (rhFGF19) (25 ng/ml) promoted expression of CCND1 in SK-MES-1 and H520 cells (serum starved for 12 h before treatment) in a time-dependent manner. (B) CCND1 mRNA expression levels in LUSC cell lines after treatment with rhFGF2 for 12 h. (C) Expression of CCND1 in FGF19 overexpression LUSC cell line. (D) Expression of CCND1 in FGF19 knockdown LUSC cell line. (E) A panel of inhibitors against a number of signaling pathways was used to dissect the leading factors of regulated by FGF19. (F) Western blot and (G) qPCR analysis of CCND1 expression in H520 and HCC95 LUSC cells after treatment of FGF19, FGF19 and SCH772984, FGF19 & BLU9931, or DMSO as control. (H) Effects of the FGF19/FGFR4 pathway on protein levels of CCND1, p-FGFR4, and p-ERK1/2 by western blot analysis. H520, SK-MES-1 and HCC95 cells were treated with FGF19 (25 ng/ml, 0/0.5/6/12 h) to activate the FGF19/FGFR4 signaling pathway. Data were shown as mean ± SD bars and compared by unpaired t-test. **p <0.01; ****p <0.0001; ns, not significant.
To further reveal the regulatory mechanism of CCND1 by FGF19, we referred to the classic pathways regulated by FGF19 in the previous research (
FGF19 Promotes CCND1-Induced Inactivation of RB
CCND1, as an important oncogene, has been reported in a variety of cancers (
Figure 3

FGF19 enhances CCND1-induced inactivation of RB. (A) rhFGF19 phosphorylated RB and promoted expression of CCND1 in SK-MES-1 and H520 cells in a time-dependent manner. (B) pRB and CCND1levels in FGF19 overexpression (SK-MES-1 LV-FGF19) and control (LV-NC) LUSC cells. (C) SK-MES-1 LV-FGF19 cells was transduced with CCND1-knockdown lentivirus (LV-shCCND1), or control lentivirus (LV-shRNA-NC) to construct stable cell lines and quantification of CCND1 in forms as cellular protein and mRNA. (D) pRB and CCND1 levels in FGF19 overexpression and CCND1-knockdown cells (SK-MES-1 LV-FGF19-shCCND1) and control (SK-MES-1 LV-NC-shRNA-NC) LUSC cells. (E) pRB and CCND1 levels in CCND1 knockdown cells (H520-shCCND1) and control (H520-shRNA-NC) LUSC cells. (F) pRB levels in FGF19-knockdown cells (H520-shFGF19) and control (H520-shRNA-NC) LUSC cells, treated with BLU9931, palbociclib, BLU9931 & palbociclib, or DMSO. Right panel: quantifications of pRB. All the data were shown as the mean ± SD. *P <0.05; **P <0.01; ***p <0.001; ****p <0.0001; ns, not significant.
FGF19 Functions in Synergy With CCND1 to Promote Cell Cycle Progression
The abnormal progression of the cell cycle plays a key role in the occurrence and development of cancer (
Figure 4

FGF19 combined with CCND1 promotes cell cycle progression. (A) rhFGF19 promoted the cell cycle of LUSC cells from G1 to S phase. (B) Enrichment plots of regulation of transcription involved in G1/S transition of mitotic cell cycle and E2F targets signatures according to FGF19 expression levels in an LUSC cohort. (C) GO analysis of cell cycle-related pathways significantly regulated by high expression of FGF19 in LUSC cohort. (D) Representative histograms depicting cell cycle profiles of SK-MES-1 LV-FGF19 and H520 cells with or without BLU9931 and palbociclib. Right panel: quantifications of the histograms. (E) H520 was treated with DMSO, 1 μM BLU9931, 1 μM palbociclib or their combination. (a) Enrichment plot showing HALLMARK_E2F_TARGETS signatures and (b) Heatmap showing the expression of common E2F target genes according to the drug treatment. All the data were shown as the mean ± SD. ***p <0.001; ****p <0.0001.
CCND1 Is Required for FGF19-Induced Proliferation
As observed, FGF19 upregulated PCNA (a marker of cell proliferation) expression (Figure 5A), increased cell viability (Supplementary Figures 4A, B), promoted colony formation (Figure 5B and Supplementary Figure 4C) and enhanced Ki67 expression (Supplementary Figure 4D) in LUSCs. To determine whether CCND1 was required for FGF19-induced cell proliferation, we investigated the activity of SK-MES-1 LV-FGF19-shCCND1. Knockdown of CCND1 significantly reduced SK-MES-1 LV-FGF19 cells activity (Figure 5C). In contrast, overexpression of CCND1 in SK-MES-1 significantly increased cell viability (Supplementary Figure 4E). These results indicated that the CCND1 played a critical role during FGF19-induced LUSC cell proliferation. Further, FGF19 overexpression promoted the proliferation of LUSC cells while CCND1 knockdown rescued this process by colony formation assay (Figure 5D).
Figure 5

CCND1 is essential for FGF19 signaling-mediated LUSC proliferation. (A) Western blot analysis showing protein levels of FGF19 and PCNA in SK-MES-1, H520 and H1703 cells after lentivirus transfection. (B) Clone formation assay of SK-MES-1 cells with or without FGF19 overexpression. (C) Cell proliferation was measured by CCK8 assay in SK-MES-1 LV-FGF19 cells with or without CCND1 knockdown. (D) Clone formation assay of SK-MES-1 LV-FGF19 cells with or without CCND1 knockdown; cultures were stained with crystal violet. (E–J) Data of orthotopic lung cancer model. Cell suspension of SK-MES-1 LV-NC/LV-FGF19/LV-FGF19-shRNA-NC/LV-FGF19-shCCND1 (2 × 106 cells) in a total volume of 50 μL mixed with Matrigel (Matrigel: PBS = 1: 4) were injected into the left lung of 5-week-old male BALB/C nude mice (N = 13 mice per group). (E) Experimental timeline for the animal experiment. (F) Representative bioluminescent images (BLI) of the different groups are shown 25 days after orthotopic implantation. Right panel: quantifications of the total flux. (G) Comparison of orthotopic lung cancer models. Tumor was indicated by the arrow. (H) Representative H&E and PCNA staining images of lung samples from each group. (I) Body weight change and (J) overall survival time of indicated groups of nude mice were showed. (K) Higher FGF19 and lower CCND1 mRNA levels are associated with longer overall survival. Data were showed as the mean ± SD. *p <0.05; **p <0.01; ***p <0.001; ****p <0.0001. H&E, hematoxylin and eosin.
Next, experiments using in vivo orthotopic lung cancer model showed that the nude mice implanted with SK-MES-1 LV-FGF19 cells presented increased bioluminescent imaging (BLI) signals, augmented tumor volume in the lung, and significantly increased PCNA expression, resulting in a shorter overall survival time. However, downregulation of CCND1 abrogated the enhanced proliferation ability of SK-MES-1 LV-FGF19 xenograft group, showing reduced BLI signals, lung tumor volume and PCNA expression, resulting in an extended survival time (Figures 5E–J). Additionally, higher FGF19 and CCND1 mRNA levels (top 25%) were associated with shorter progression free survival. However, there was no significant difference in progression-free survival statistics for higher FGF19 and lower CCND1 mRNA levels (Figure 5K). Together, these results suggested that CCND1 was essential for FGF19-mediated LUSC proliferation.
BLU9931 Synergizes With Palbociclib to Suppress Tumor Growth in LUSC Cells
Based on the co-expression feature of these two genes, dual targeting are expected to be more effective. The combination of BLU9931 and palbociclib significantly reduced the viability and clonogenic potential of H520 and SK-MES-1 LV-FGF19 cells compared with single agent alone (Figures 6A, B). To determine whether the anti-tumor effects obtained with different doses of BLU9931 and palbociclib were synergistic or not, we evaluated the combination index. After treatment with various concentrations (1, 5, and 10 μM) of BLU9931, palbociclib, and their combination, the combination index was measured for each cell line. We observed that different doses of inhibitors had a synergistic effect, and the inhibitory effect increased significantly with the increase of the dose (Figure 6C). An analysis of apoptosis was also performed, and when compared with the single agent, the combination treatment for 48 h significantly increased the cell apoptosis rate (Figure 6D). It has been reported that decreased cell proliferation coupled with cell cycle arrest was associated with senescence induction (
Figure 6

Enhanced effects of combined BLU9931 and palbociclib in LUSC cells in vitro. (A) Cells were plated at a low density in 6-well plates, treated with DMSO, BLU9931, palbociclib, or a combination of the two compounds for 7–10 days. (B) CCK8 cell viability assay, (C) Intracellular lactate dehydrogenase (LDH) assay, (D) flow cytometry analysis and (E) β-galactosidase staining assay of H520 and SK-MES-1 LV-FGF19 cells treated with a single agent (BLU9931 or palbociclib) or a combination of both compounds at a fixed ratio (1:1). *p <0.05; **p <0.01; ***p <0.001; ****p <0.0001; 100 µm.
BLU9931 Synergizes With Palbociclib to Suppress Tumor Growth In Vivo
Since combination treatment showed synergistically inhibitory effect in LUSC cell lines, we investigated whether this similar effect could be recapitulated in the subcutaneous lung cancer mice model. Two cell lines (exogenous or endogenous FGF19 highly expressed LUSC cells) were used to construct animal models. In the mice model of LUSC with exogenous or endogenous overexpression of FGF19, we observed a significant suppression in tumor growth with combination treatment (Figure 7A). In the combination group, the median tumor weight of LUSC xenografts was lower when compared to BLU9931, palbociclib and vehicle control (Supplementary Figures 5A, B). The inhibitors did not cause a significant decrease in the body weight of the nude mice, and it indicated that the administered dose was within the tolerance range of the nude mice (Supplementary Figures 5C, D). BLU9931 and palbociclib monotherapy arrested tumor cells in G1 phase, but the two-drug combination therapy had a stronger response (Figure 7B). Meanwhile, the combination therapy had a better inhibitory effect on the levels of phosphorylated RB and PCNA in tumor tissues (Figure 7C). Immunohistochemical staining showed that the levels of p-RB (Ser807/811) and of Ki67 in the combined treatment group were significantly lower than those in the control group or single drug treatment group, and a marker of apoptosis, cleaved caspase-3, was increased in the combination treatment tumors (Figure 7D). Collectively, these findings demonstrated the enhanced antitumor efficacy in two subcutaneous lung cancer model by co-targeting FGFR4 and cyclin D1-CDK4/6 signaling.
Figure 7

Enhanced effects of combined BLU9931 and palbociclib in the animal model of LUSC cells with endogenously or exogenously high expression of FGF19. SK-MES-1 LV-FGF19 (exogenous FGF19 highly expressed LUSC cells) cells or H520 (endogenous FGF19 highly expressed LUSC cells) cells in a volume of 50 μl were subcutaneously injected into the right flanks of BALB/c nude mice. When the tumor reached a volume of 100–200 mm3, mice were randomly grouped and orally treated with vehicle, BLU9931 (30 mg/kg, twice a day), palbociclib (100 mg/kg/d), or both drugs in combination for 3 weeks. Tumor volumes were measured every 3 days after the onset of treatment. (A) The tumors were dissected from the mice. (a) SK-MES-1 LV-FGF19 xenograft tumors and (b) H520 xenograft tumors. Growth curve for (c) SK-MES-1 LV-FGF19 and (d) H520 xenograft tumors. (B) Representative histograms depicting cell cycle profiles of tumor cells and quantifications of the histograms. (a) SK-MES-1 LV-FGF19 xenograft tumors; (b) H520 xenograft tumors. (C) The expression of pRB and PCNA in (a) SK-MES-1 LV-FGF19 xenograft tumors and (b) H520 xenograft tumors were detected by western blot. (D) HE and immunofluorescence staining with pRbSer807/811, cleaved caspase 3 (Cl. Cas3) and Ki67 of tumor sections. (a) SK-MES-1 LV-FGF19 xenograft tumors; (b) H520 xenograft tumors. Data were shown as mean ± SD and *p <0.05, **p <0.01, ***p <0.001 and ****p <0.0001 as calculated by the two-way ANOVA test. Scale bar: 50 µm.
Discussion
Significant progress has been made in identifying targets and developing therapeutics in advanced LUAD patients, but not for LUSC. While the most substantial impact on the treatment of LUSC patients comes from the histological agnosticism method of immune checkpoint inhibition. A main reason is the failure to find effective molecular targets in LUSC. In this study, we showed that FGF19, which has been well studied in several cancers, was involved in promoting LUSC. Our previous research has demonstrated that FGF19 was upregulated in LUSC tissues and contributed to LUSC progression through the mTOR pathway (
In the present study, we have provided more data indicating that FGF19 acts as a tumor promoter in LUSC. Through more in-depth analysis of the previous sequencing data on tumor-promoting amplified genes, in combination with further TCGA data analysis and clinical sample staining verification, we observed that FGF19 expression was positively correlated with CCND1 expression at both the mRNA and protein levels. The expression of the two genes was significantly correlated with their co-amplification on chromosome 11q13.3. Interestingly, our subsequent findings suggested that not only was this co-expression caused by co-amplification, but also FGF19 could regulate the expression of CCND1 at the mRNA and protein expression levels. Gene co-amplification leads to the overexpression of many neighboring genes, some of which can work together and promote the tumor genesis and progression. However, the mechanism of co-amplification gene cooperation varies under different circumstances. It is reported that CDK4 and Phosphoinositide 3-kinase enhancer (PIKE-A) are co-localized on chromosomal 12q13.1-14 and co-amplified in glioblastoma and form a protein complex with each other to promote tumorigenesis (
The overexpressed CCND1 forms a complex with CDK4/6 to promote phosphorylation and inactivation of RB, which facilitates a release of E2F necessary for cell cycle S phase entry (
However, it is undeniable that the way in which an oncogene contributes to tumor cell malignancy is often not single. This is also an important reason for drug resistance in the monotherapy. As one of the important growth factors, FGF19 also regulates some other cancer-related pathways. For instance, FGF19-mediated activation of the MAPK, PI3K/AKT, STAT3 and epithelial–mesenchymal transition pathways might take part in the malignancy (
It is worth mentioning that chromosome region 11q13.3 also contains several other genes, such as CTTN, ORAOV1, MYEOV, etc. Amplification and overexpression of CTTN contribute to the metastasis of cancer cell by promoting cell migration and anoikis resistance (
In conclusion, our study provides an example of how co-amplified genes work together in malignant cancer. FGF19 is commonly amplified and overexpressed in LUSC and that CCND1 is co-expressed with FGF19 due to co-amplification on chromosome 11q13.3 in LUSC. FGF19 enhances CCND1 expression, promotes CCND1-induced phosphorylates, and inactivates RB leading to proliferation of LUSC cells, via the FGF19–FGFR4–ERK1/2 signaling pathway. Furthermore, combination of BLU9931 with palbociclib potentiated antitumor activities in FGF19-driven LUSC preclinical models. These findings warrant further clinical investigations and patients with advanced LUSC harboring FGF19-CCND1 co-overexpression may therefore benefit from such combination therapy (Figure 8).
Figure 8

The schematic model of this study: underlying mechanism that link neighboring oncogene FGF19 & CCND1 co-amplification in the development of LUSC. FGF19 was co-amplified and co-expressed with its neighboring gene CCND1 in a subset of LUSC. Overexpression of FGF19 activates FGFR4 and leads to phosphorylation of FRS2 and ERK1/2, which further strengthens the increase in CCND1 expression caused by amplification. These lead to the phosphorylation of RB by CCND1-CDK4/6 complex, causing unrestrained transcription factor E2F, which promotes cell cycle progression and lead to the malignant proliferation of LUSC. While co-targeting FGFR4 and CDK4/6 by BLU9931 and palbociclib potentiated the growth inhibition and arrested cells in G1 phase.
Funding
This study is supported by grants from Science and Technology Commission of Shanghai Municipality (21ZR1433100) and National Natural Science Foundation of China (81773115).
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
Ethics statement
The studies involving human participants were reviewed and approved by The Research Ethics Committee of the School of Biomedical Engineering, Shanghai Jiao Tong University (Shanghai, China). The patients/participants provided their written informed consent to participate in this study. The animal study was reviewed and approved by The Research Ethics Committee of the School of Biomedical Engineering, Shanghai Jiao Tong University (Shanghai, China).
Author contributions
Conception and design: YZ and WX. Data acquisition and analysis: YZ, TW, FL, YC, QH, XL and WX. Writing and original draft preparation: YZ, TW, and WX. Critical review and editing: YZ, TW, YC, and WX. Studies related with clinical samples: SL. Supervision: WX. Funding acquisition: WX. All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Acknowledgments
We are very grateful for the free access to the TCGA databases.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The reviewer WC declared a shared affiliation with the authors to the handling editor at the time of review.
Supplementary material
The Supplementary Material for this article can be found online at:https://www.frontiersin.org/articles/10.3389/fonc.2022.846744/full#supplementary-material
References
1
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
2
SiegelRLMillerKDJemalA. Cancer Statistics, 2020. CA Cancer J Clin (2020) 70(1):7–30. doi: 10.3322/caac.21590
3
Cancer Genome Atlas Research N. Comprehensive Genomic Characterization of Squamous Cell Lung Cancers. Nature (2012) 489(7417):519–25. doi: 10.1038/nature11404
4
PaikPKPillaiRNLathanCSVelascoSAPapadimitrakopoulouV. New Treatment Options in Advanced Squamous Cell Lung Cancer. Am Soc Clin Oncol Educ Book (2019) 39:e198–206. doi: 10.1200/EDBK_237829
5
WangKLimHYShiSLeeJDengSXieTet al. Genomic Landscape of Copy Number Aberrations Enables the Identification of Oncogenic Drivers in Hepatocellular Carcinoma. Hepatology (2013) 58(2):706–17. doi: 10.1002/hep.26402
6
GohJYFengMWangWOguzGYatimSLeePLet al. Chromosome 1q21.3 Amplification is a Trackable Biomarker and Actionable Target for Breast Cancer Recurrence. Nat Med (2017) 23(11):1319–30. doi: 10.1038/nm.4405
7
SaladiSVRossKKaraayvazMTataPRMouHRajagopalJet al. ACTL6A Is Co-Amplified With P63 in Squamous Cell Carcinoma to Drive YAP Activation, Regenerative Proliferation, and Poor Prognosis. Cancer Cell (2017) 31(1):35–49. doi: 10.1016/j.ccell.2016.12.001
8
TanQLiFWangGXiaWLiZNiuXet al. Identification of FGF19 as a Prognostic Marker and Potential Driver Gene of Lung Squamous Cell Carcinomas in Chinese Smoking Patients. Oncotarget (2016) 7(14):18394–402. doi: 10.18632/oncotarget.7817
9
BeenkenAMohammadiM. The FGF Family: Biology, Pathophysiology and Therapy. Nat Rev Drug Discov (2009) 8(3):235–53. doi: 10.1038/nrd2792
10
LiX. The FGF Metabolic Axis. Front Med (2019) 13(5):511–30. doi: 10.1007/s11684-019-0711-y
11
LiuYCaoMCaiYLiXZhaoCCuiR. Dissecting the Role of the FGF19-FGFR4 Signaling Pathway in Cancer Development and Progression. Front Cell Dev Biol (2020) 8:95. doi: 10.3389/fcell.2020.00095
12
InagakiTChoiMMoschettaAPengLCumminsCLMcDonaldJGet al. Fibroblast Growth Factor 15 Functions as an Enterohepatic Signal to Regulate Bile Acid Homeostasis. Cell Metab (2005) 2(4):217–25. doi: 10.1016/j.cmet.2005.09.001
13
ChoiMMoschettaABookoutALPengLUmetaniMHolmstromSRet al. Identification of a Hormonal Basis for Gallbladder Filling. Nat Med (2006) 12(11):1253–5. doi: 10.1038/nm1501
14
GaoLLangLZhaoXShayCShullAYTengY. FGF19 Amplification Reveals an Oncogenic Dependency Upon Autocrine FGF19/FGFR4 Signaling in Head and Neck Squamous Cell Carcinoma. Oncogene (2019) 38(13):2394–404. doi: 10.1038/s41388-018-0591-7
15
ChenJDuFDangYLiXQianMFengWet al. Fibroblast Growth Factor 19-Mediated Up-Regulation of SYR-Related High-Mobility Group Box 18 Promotes Hepatocellular Carcinoma Metastasis by Transactivating Fibroblast Growth Factor Receptor 4 and Fms-Related Tyrosine Kinase 4. Hepatology (2020) 71(5):1712–31. doi: 10.1002/hep.30951
16
LiFLiZHanQChengYJiWYangYet al. Enhanced Autocrine FGF19/FGFR4 Signaling Drives the Progression of Lung Squamous Cell Carcinoma, Which Responds to mTOR Inhibitor AZD2104. Oncogene (2020) 39(17):3507–21. doi: 10.1038/s41388-020-1227-2
17
DeshpandeASicinskiPHindsPW. Cyclins and Cdks in Development and Cancer: A Perspective. Oncogene (2005) 24(17):2909–15. doi: 10.1038/sj.onc.1208618
18
KentLNLeoneG. The Broken Cycle: E2F Dysfunction in Cancer. Nat Rev Cancer (2019) 19(6):326–38. doi: 10.1038/s41568-019-0143-7
19
SherrCJRobertsJM. Living With or Without Cyclins and Cyclin-Dependent Kinases. Genes Dev (2004) 18(22):2699–711. doi: 10.1101/gad.1256504
20
SherrCJ. Cancer Cell Cycles. Science (1996) 274(5293):1672–7. doi: 10.1126/science.274.5293.1672
21
MalumbresMBarbacidM. Cell Cycle, CDKs and Cancer: A Changing Paradigm. Nat Rev Cancer (2009) 9(3):153–66. doi: 10.1038/nrc2602
22
SantariusTShipleyJBrewerDStrattonMRCooperCS. A Census of Amplified and Overexpressed Human Cancer Genes. Nat Rev Cancer (2010) 10(1):59–64. doi: 10.1038/nrc2771
23
LiFLiXLiZJiWLuSXiaW. Betaklotho Is Identified as a Target for Theranostics in Non-Small Cell Lung Cancer. Theranostics (2019) 9(25):7474–89. doi: 10.7150/thno.35582
24
JiWYuYLiZWangGLiFXiaWet al. FGFR1 Promotes the Stem Cell-Like Phenotype of FGFR1-Amplified Non-Small Cell Lung Cancer Cells Through the Hedgehog Pathway. Oncotarget (2016) 7(12):15118–34. doi: 10.18632/oncotarget.7701
25
WangCChenHZhangMZhangJWeiXYingW. Malate-Aspartate Shuttle Inhibitor Aminooxyacetic Acid Leads to Decreased Intracellular ATP Levels and Altered Cell Cycle of C6 Glioma Cells by Inhibiting Glycolysis. Cancer Lett (2016) 378(1):1–7. doi: 10.1016/j.canlet.2016.05.001
26
ChenYGuHZhangDSLiFLiuTXiaW. Highly Effective Inhibition of Lung Cancer Growth and Metastasis by Systemic Delivery of siRNA via Multimodal Mesoporous Silica-Based Nanocarrier. Biomaterials (2014) 35(38):10058–69. doi: 10.1016/j.biomaterials.2014.09.003
27
PengLFengLYuanHBenhabbourSRMumperRJ. Development of a Novel Orthotopic non-Small Cell Lung Cancer Model and Therapeutic Benefit of 2’-(2-Bromohexadecanoyl)-Docetaxel Conjugate Nanoparticles. Nanomedicine (2014) 10(7):1497–506. doi: 10.1016/j.nano.2014.03.016
28
GyorffyBSurowiakPBudcziesJLanczkyA. Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer. PloS One (2013) 8(12):e82241. doi: 10.1371/journal.pone.0082241
29
MusgroveEACaldonCEBarracloughJStoneASutherlandRL. Cyclin D as a Therapeutic Target in Cancer. Nat Rev Cancer (2011) 11(8):558–72. doi: 10.1038/nrc3090
30
MusgroveEA. Cyclins: Roles in Mitogenic Signaling and Oncogenic Transformation. Growth Factors (2006) 24(1):13–9. doi: 10.1080/08977190500361812
31
SommEJornayvazFR. Fibroblast Growth Factor 15/19: From Basic Functions to Therapeutic Perspectives. Endocr Rev (2018) 39(6):960–89. doi: 10.1210/er.2018-00134
32
XieMHHolcombIDeuelBDowdPHuangAVagtsAet al. FGF-19, a Novel Fibroblast Growth Factor With Unique Specificity for FGFR4. Cytokine (1999) 11(10):729–35. doi: 10.1006/cyto.1999.0485
33
HarmerNJPellegriniLChirgadzeDFernandez-RecioJBlundellTL. The Crystal Structure of Fibroblast Growth Factor (FGF) 19 Reveals Novel Features of the FGF Family and Offers a Structural Basis for its Unusual Receptor Affinity. Biochemistry (2004) 43(3):629–40. doi: 10.1021/bi035320k
34
LiuJPengYWeiW. Cell Cycle on the Crossroad of Tumorigenesis and Cancer Therapy. Trends Cell Biol (2022) 32(1):30–44. doi: 10.1016/j.tcb.2021.07.001
35
OttoTSicinskiP. Cell Cycle Proteins as Promising Targets in Cancer Therapy. Nat Rev Cancer (2017) 17(2):93–115. doi: 10.1038/nrc.2016.138
36
NeurohrGETerryRLLengefeldJBonneyMBrittinghamGPMorettoFet al. Excessive Cell Growth Causes Cytoplasm Dilution And Contributes to Senescence. Cell (2019) 176(5):1083–97.e18. doi: 10.1016/j.cell.2019.01.018
37
ZhangXKongMZhangZXuSYanFWeiLet al. FGF19 Genetic Amplification as a Potential Therapeutic Target in Lung Squamous Cell Carcinomas. Thorac Cancer (2017) 8(6):655–65. doi: 10.1111/1759-7714.12504
38
QiQKangSSZhangSPhamCFuHBratDJet al. Co-Amplification of Phosphoinositide 3-Kinase Enhancer A and Cyclin-Dependent Kinase 4 Triggers Glioblastoma Progression. Oncogene (2017) 36(32):4562–72. doi: 10.1038/onc.2017.67
39
ZhouQZhouQLiuQHeZYanYLinJet al. PRL-3 Facilitates Hepatocellular Carcinoma Progression by Co-Amplifying With and Activating FAK. Theranostics (2020) 10(22):10345–59. doi: 10.7150/thno.42069
40
KoppFMendellJT. Functional Classification and Experimental Dissection of Long Noncoding RNAs. Cell (2018) 172(3):393–407. doi: 10.1016/j.cell.2018.01.011
41
ChenZYuWZhouQZhangJJiangHHaoDet al. A Novel lncRNA IHS Promotes Tumor Proliferation and Metastasis in HCC by Regulating the ERK- and AKT/GSK-3beta-Signaling Pathways. Mol Ther Nucleic Acids (2019) 16:707–20. doi: 10.1016/j.omtn.2019.04.021
42
DicksonMASchwartzGK. Development of Cell-Cycle Inhibitors for Cancer Therapy. Curr Oncol (2009) 16(2):36–43. doi: 10.3747/co.v16i2.428
43
DicksonMA. Molecular Pathways: CDK4 Inhibitors for Cancer Therapy. Clin Cancer Res (2014) 20(13):3379–83. doi: 10.1158/1078-0432.CCR-13-1551
44
McKinnonTVenierRYoheMSindiriSGryderBEShernJFet al. Functional Screening of FGFR4-Driven Tumorigenesis Identifies PI3K/mTOR Inhibition as a Therapeutic Strategy in Rhabdomyosarcoma. Oncogene (2018) 37(20):2630–44. doi: 10.1038/s41388-017-0122-y
45
XinZSongXJiangBGongsunXSongLQinQet al. Blocking FGFR4 Exerts Distinct Anti-Tumorigenic Effects in Esophageal Squamous Cell Carcinoma. Thorac Cancer (2018) 9(12):1687–98. doi: 10.1111/1759-7714.12883
46
EdelmanMJRedmanMWAlbainKSMcGaryECRafiqueNMPetroDet al. SWOG S1400C (NCT02154490)-A Phase II Study of Palbociclib for Previously Treated Cell Cycle Gene Alteration-Positive Patients With Stage IV Squamous Cell Lung Cancer (Lung-MAP Substudy). J Thorac Oncol (2019) 14(10):1853–9. doi: 10.1016/j.jtho.2019.06.027
47
FinnRSCrownJPLangIBoerKBondarenkoIMKulykSOet al. The Cyclin-Dependent Kinase 4/6 Inhibitor Palbociclib in Combination With Letrozole Versus Letrozole Alone as First-Line Treatment of Oestrogen Receptor-Positive, HER2-Negative, Advanced Breast Cancer (PALOMA-1/TRIO-18): A Randomised Phase 2 Study. Lancet Oncol (2015) 16(1):25–35. doi: 10.1016/S1470-2045(14)71159-3
48
DeMicheleAClarkASTanKSHeitjanDFGramlichKGallagherMet al. CDK 4/6 Inhibitor Palbociclib (PD0332991) in Rb+ Advanced Breast Cancer: Phase II Activity, Safety, and Predictive Biomarker Assessment. Clin Cancer Res (2015) 21(5):995–1001. doi: 10.1158/1078-0432.CCR-14-2258
49
LuoMLShenXMZhangYWeiFXuXCaiYet al. Amplification and Overexpression of CTTN (EMS1) Contribute to the Metastasis of Esophageal Squamous Cell Carcinoma by Promoting Cell Migration and Anoikis Resistance. Cancer Res (2006) 66(24):11690–9. doi: 10.1158/0008-5472.CAN-06-1484
50
LiMCuiXShenYDongHLiangWChenYet al. ORAOV1 Overexpression in Esophageal Squamous Cell Carcinoma and Esophageal Dysplasia: A Possible Biomarker of Progression and Poor Prognosis in Esophageal Carcinoma. Hum Pathol (2015) 46(5):707–15. doi: 10.1016/j.humpath.2015.01.009
51
TogashiYAraoTKatoHMatsumotoKTerashimaMHayashiHet al. Frequent Amplification of ORAOV1 Gene in Esophageal Squamous Cell Cancer Promotes an Aggressive Phenotype via Proline Metabolism and ROS Production. Oncotarget (2014) 5(10):2962–73. doi: 10.18632/oncotarget.1561
52
ZhangRMaA. High Expression of MYEOV Reflects Poor Prognosis in non-Small Cell Lung Cancer. Gene (2021) 770:145337. doi: 10.1016/j.gene.2020.145337
53
FangLWuSZhuXCaiJWuJHeZet al. MYEOV Functions as an Amplified Competing Endogenous RNA in Promoting Metastasis by Activating TGF-Beta Pathway in NSCLC. Oncogene (2019) 38(6):896–912. doi: 10.1038/s41388-018-0484-9
54
OshimaKKatoKItoYDaikoHNozakiINakagawaSet al. Prognostic Biomarker Study in Patients With Clinical Stage I Esophageal Squamous Cell Carcinoma: JCOG0502-A1. Cancer Sci (2022) 113(3):1018–27. doi: 10.1111/cas.15251
55
SugaharaKMichikawaYIshikawaKShojiYIwakawaMShibaharaTet al. Combination Effects of Distinct Cores in 11q13 Amplification Region on Cervical Lymph Node Metastasis of Oral Squamous Cell Carcinoma. Int J Oncol (2011) 39(4):761–9. doi: 10.3892/ijo.2011.1094
Summary
Keywords
LUSC, FGF19, FGFR4, CCND1, CDK4/6, amplification, combined inhibition
Citation
Zhang Y, Wu T, Li F, Cheng Y, Han Q, Lu X, Lu S and Xia W (2022) FGF19 Is Coamplified With CCND1 to Promote Proliferation in Lung Squamous Cell Carcinoma and Their Combined Inhibition Shows Improved Efficacy. Front. Oncol. 12:846744. doi: 10.3389/fonc.2022.846744
Received
31 December 2021
Accepted
28 February 2022
Published
07 April 2022
Volume
12 - 2022
Edited by
Marta Martins, Universidade de Lisboa, Portugal
Reviewed by
Xiaoni Kong, Shanghai University of Traditional Chinese Medicine, China; Wei Cao, Shanghai Jiao Tong University, China; Austin Shull, Presbyterian College, United States
Updates

Check for updates
Copyright
© 2022 Zhang, Wu, Li, Cheng, Han, Lu, Lu and Xia.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Weiliang Xia, wlxia@sjtu.edu.cn
This article was submitted to Molecular and Cellular Oncology, a section of the journal Frontiers in Oncology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.