Abstract
Globally, breast cancer stands as the most prevalent form of cancer among women. The tumor microenvironment of breast cancer often exhibits hypoxia. Hypoxia-inducible factor 1-alpha, a transcription factor, is found to be overexpressed and activated in breast cancer, playing a pivotal role in the anoxic microenvironment by mediating a series of reactions. Hypoxia-inducible factor 1-alpha is involved in regulating downstream pathways and target genes, which are crucial in hypoxic conditions, including glycolysis, angiogenesis, and metastasis. These processes significantly contribute to breast cancer progression by managing cancer-related activities linked to tumor invasion, metastasis, immune evasion, and drug resistance, resulting in poor prognosis for patients. Consequently, there is a significant interest in Hypoxia-inducible factor 1-alpha as a potential target for cancer therapy. Presently, research on drugs targeting Hypoxia-inducible factor 1-alpha is predominantly in the preclinical phase, highlighting the need for an in-depth understanding of HIF-1α and its regulatory pathway. It is anticipated that the future will see the introduction of effective HIF-1α inhibitors into clinical trials, offering new hope for breast cancer patients. Therefore, this review focuses on the structure and function of HIF-1α, its role in advancing breast cancer, and strategies to combat HIF-1α-dependent drug resistance, underlining its therapeutic potential.
Schematic overview of HIF-1a regulation in breast cancer. Under normoxic conditions, HIF-1α is unstable with a brief half-life. In hypoxic conditions, the depletion of molecular oxygen during mitochondrial oxidative phosphorylation curtails the catalytic functions of PHD and FIH, limiting HIF-1α hydroxylation and degradation, thereby activating the HIF pathway. Subsequently, HIF-1α is involved in angiogenesis, glucose metabolism, cancer cell invasion and metastasis, and immune escape by regulating the expression of target genes.

1 Introduction
Breast cancer (BC) is the most common type of malignancy among women and the second leading cause of cancer-related deaths among women after lung cancer (–). The treatment of breast cancer mainly includes surgery, endocrine therapy, chemotherapy, radiotherapy, and targeted therapy, depending on the classification of the tumor, with drug therapy playing an important role. In earlier years, the mortality rate of breast cancer patients has declined due to the reduced risk of the disease, improved treatment methods, and the widespread use of early screening (). However, the emergence of drug resistance during treatment in recent years has posed a severe challenge to the survival of breast cancer patients (). Hypoxia, caused by an imbalance between oxygen consumption and supply due to rapid tumor growth, is a common feature of the tumor microenvironment in most solid tumors (, ). It promotes tumor growth, metastasis, and treatment resistance by regulating the expression of hypoxia-related genes, ultimately leading to more aggressive and fatal cancers. Hypoxia is associated with enhanced invasive behavior and poorer prognosis and has been identified as a poor indicator of patient outcome (). The hypoxia-inducible factor (HIF) family, which plays a pivotal role in the cellular response to hypoxic stress, consists of transcription factors that are crucial for managing hypoxic stress at the cellular level (, ). Research has consistently demonstrated that Hypoxia-inducible factor 1-alpha (HIF-1α) is overexpressed in numerous types of cancer, significantly influencing cancer progression (–). HIF-1α is responsible for activating genes associated with angiogenesis, cell growth and survival, invasion and metastasis, glucose metabolism, immune system evasion, and resistance to several cancer therapies. Specifically, HIF-1α is involved in regulating tumor cell metabolism, apoptosis, and autophagy, thereby impacting their survival (, –). It represents a promising target for anticancer therapy. Therefore, this article provides a detailed description of the structure and function of HIF-1α as well as its mechanism of action in the development of breast cancer. This review also summarizes the reasons for the emergence of HIF-1α-dependent drug resistance and strategies to overcome it, providing systematic information for the development of targeted drugs against HIF-1α.
2 Structure and function of HIF-1α
Hypoxia significantly influences numerous pathophysiological conditions in the human body (). It is a defining characteristic of the solid tumor microenvironment (TME), resulting from rapid tumor growth and inadequate blood supply. An estimated 50%–60% of tumors exhibit anoxic regions (). Hypoxia is linked to cancer spread and resistance to conventional therapies like chemotherapy and radiotherapy, indicating a grim prognosis for various cancers, including BC, hepatocellular carcinoma (HCC), and cancers of the pancreas, stomach, and colorectum (). Therefore, targeting hypoxia is seen as a viable strategy in cancer treatment. Cells have evolved sophisticated mechanisms to adapt to anoxic conditions ().
Within the hypoxic TME, HIF plays a crucial role in tumor adaptation (). To date, mammals have been found to express three HIF types. HIF is a heterodimer consisting of an oxygen-sensitive α subunit (HIF-1α, HIF-2α, and HIF-3α) and an oxygen-insensitive β subunit (HIF-1β), crucial for regulating gene expression under hypoxic conditions (–). While oxygen levels regulate all three HIF α subunits and they all bind to HIF-1β, research has primarily focused on HIF-1α and HIF-2α (–). HIF-1α and HIF-2α share structural similarities, yet their roles differ across tumor and cell types (, , ). HIF-3α has been less studied due to its multiple variants and complex functionality ( (, ). Recent research indicates that specific HIF-1α subtypes are present in several solid tumors, potentially contributing to tumor progression (, ).
HIF-1 consists of the HIF-1α subunit, composed of 826 amino acids, and the HIF-1β subunit, which has 782 amino acids (Figure 1) (, ). HIF-1α is the most extensively expressed subunit of HIF-1 in mammalian tissues (). This transcription factor, encoded by the HIF-1α gene on chromosome 14q2124, responds to hypoxic signals (, ). It is part of the basic helix–loop–helix (bHLH)/Period Clock Protein (Per)–Aryl Hydrocarbon Receptor Nuclear Translocator (ARNT)–Single-minded Protein (Sim) (bHLH/PAS) family of transcription factors (). The bHLH and PAS domains, named after the proteins Per, ARNT, and Sim () first identified in Drosophila, are essential for DNA binding and the formation of heterodimers between HIF-1α and HIF-1β, respectively (). HIF-1α includes two transactivation domains (TAD): N-TAD and C-TAD, enriched with acidic and hydrophobic amino acids, linked by an inhibitory domain (ID) (). C-TAD plays a role in HIF-1α transcription regulation through interaction with the transcriptional coactivator CREB-binding protein (CBP)/p300 in hypoxic conditions, while N-TAD serves as its stable regulator (, ). The ID, situated between the two TAD sequences (amino acids 576–785), prevents transcriptional activation by TADs (). Furthermore, HIF-1α features an oxygen-dependent degradation domain (ODDD) upstream of the N-TAD region, including two hydroxylation sites, Pro-402 and Pro-564, each bearing a conserved LXXLAP motif (). This ODDD, located centrally in HIF-1α, chiefly mediates the protein’s oxygen-regulated stability and degradation through the ubiquitin-proteasome pathway (, ). HIF-1α also possesses two nuclear localization signals (NLS), NLSN (N-terminal, 17–33 amino acids) and NLSC (C-terminal, 718–721 amino acids) (). HIF-1β, also known as ARNT, is expressed constitutively in all cell types and its expression is not influenced by oxygen levels (). It includes three domains: bHLH, PAS, and C-TAD, but lacks the ODDD and N-TAD domains (, ).
Figure 1
Within cells, the regulation of HIF-1α is stringently dependent on oxygen availability, in contrast to HIF-1β, which is constantly expressed irrespective of oxygen tension (, ). Under normoxic conditions, HIF-1α is unstable with a brief half-life (Figures 1, 2) (). Pro-402 and Pro-564 in the ODDD and Asn-803 in the C-TAD are hydroxylated by prolyl hydroxylases (PHD) and factor-inhibiting HIF (FIH) using Fe2+ and 2-oxoglutaric acid as cofactors (, ). Hydroxylation at Asn-803 inhibits CBP/p300 binding to HIF-1α, while hydroxylation at proline residues allows the von Hippel-Lindau tumor suppressor protein (pVHL), with E3 ubiquitin ligase activity, to recognize hydroxylated HIF-1α (, ). Consequently, HIF-1α is ubiquitinated and swiftly degraded through the pVHL-mediated ubiquitin-proteasome pathway. The second regulation mechanism involves the hydroxylation of asparaginyl residues by FIH (Figures 1, 2) (), preventing the association of HIF coactivators (CBP/p300) (, ). This asparaginyl hydroxylation occurs in the C-TAD domain at N803 in HIF-1α and N851 in HIF-2α (). Thus, under normoxic conditions, PHD and FIH facilitate HIF degradation through a dual mechanism, suppressing HIF transcriptional activity (). In hypoxic conditions, the depletion of molecular oxygen during mitochondrial oxidative phosphorylation curtails the catalytic functions of PHD and FIH (Figure 2) (, ), limiting HIF-1α hydroxylation and degradation, thereby activating the HIF pathway (, ). The stable HIF-1α then moves to the nucleus and forms a transcriptionally active heterodimer with HIF-1β (). The interaction occurs between the heterodimeric complex of HIF-1α/HIF-1β and CBP/p300, the steroid receptor coactivator-1 family of coactivators, the nuclear redox regulator Ref-1, and the molecular chaperone heat shock protein 90. This interaction facilitates the binding of hypoxia response elements (HRE), leading to increased transcriptional activity of target genes across various signaling pathways and the regulation of cellular adaptive responses to hypoxia (Table 1) (, , ). However, the degradation of accumulated HIF-1α happens rapidly upon reoxygenation of hypoxic cells, with the rate of degradation being dependent on the duration of hypoxic stress ().
Figure 2
Table 1
| Target Gene | Expression under hypoxia | Function | Reference |
|---|---|---|---|
| GLUT1 | Up | Glycolysis | () |
| LDHA | Up | Glycolysis | () |
| PKM2 | Up | Glycolysis | () |
| LOX | Up | Invasion | () |
| SOD2 | Up | Enrichment of braest cancer stem cell | () |
| A2BR | Up | Invasion, and metastasis | () |
| MDR1 | Up | Enrichment of braest cancer stem cell | () |
| VEGF | Up | Angiogenesis | () |
| Bcl-2 | Up | Apoptosis | () |
| GLUT | Up | Glycolysis | () |
| NANOG | Up | Invasion | () |
| PDK 1 | Up | Glycolysis | () |
| IL-6 | Up | Invasion | () |
| IL-8 | Up | Invasion | () |
| MMPs | Up | Invasion | () |
| NF-κB, | Up | Invasion | () |
| HK2 | Up | Glycolysis | () |
| C1QBP | Up | Angiogenesis | () |
| P4HA2 | Up | Invasion and metastasis. | () |
| SLUG | Up | Plays a key role in the control of epithelial to mesenchymal transition | () |
| TWIST | Up | Plays a key role in the control of epithelial to mesenchymal transition | () |
Target genes of the HIF-1α and their function.
3 The role of HIF-1α in breast cancer
3.1 Angiogenesis
BC cells necessitate a continual blood supply for oxygen and essential nutrients (). Initially, during tumor growth, nutrients and oxygen are obtained via diffusion (). However, as the tumor mass reaches a certain size, diffusion becomes insufficient to sustain growth, prompting the formation of new vasculature to support tumor growth and metastasis (, ). Thus, angiogenesis is critical for tumor advancement, proliferation, and metastasis. Tumor blood vessels exhibit high tortuosity, increased vascular permeability, and sluggish blood flow ()compared to normal vessels, leading to increased local hypoxia, which in turn stabilizes HIF-1α, fostering tumor invasion and metastasis (–)
HIF plays a pivotal role in regulating angiogenesis (Figure 3) (, ). BC cells exhibit elevated levels of HIF, stimulating gene expression that facilitates proliferation, metastasis, angiogenesis, and invasion (, ). HIF-1α is notably expressed in precursor lesions and early stages of BC (). Suppression of the HIF-1α gene or inhibition of its transcription can hinder tumor cells from secreting vascular endothelial growth factor (VEGF) and impede tumor neovascularization (, , ).
Figure 3
HIF-1α shows increased expression particularly in triple-negative BC (TNBC). The nuclear factor kappa B (NF-κB) signaling pathway is activated in TNBC, promoting tumor cell proliferation, angiogenesis, and evasion of apoptosis (Figure 3) (). Tumor necrosis factor-alpha (TNF-α) or interleukin (IL)-1 activates inhibitory kappa B kinase (IKKB), leading to NF-Kb activation (). Additionally, under chronic hypoxia in TNBC cell lines, reactive oxygen species (ROS) further activate NF-κB by degrading inhibitor of κB-α (IκBα) (97). The NF-κB pathway boosts HIF-1α mRNA expression by enhancing its transcription (98, 99). TNF-α may elevate HIF-1α expression by activating NF-κB signaling in TNBC cells and could be influenced by IL-17 (100).
In BC, HIF-1α primarily induces angiogenesis by regulating the expression of VEGF, hepatocyte growth factor (HGF), vascular cell adhesion molecule 1 (VCAM1), and VEGF receptor (VEGFR) (Figure 3) (, 101). VEGF, a critical downstream target of the HIF pathway, drives angiogenesis by influencing endothelial cell migration, proliferation, permeability, and survival (102–105). Under hypoxic conditions, HIF-1α binds to the VEGF promoter, significantly increasing VEGF mRNA levels in TNBC compared to other BC subtypes (106). HIF-1α also upregulates breast tumor kinase mRNA and protein expression, which stimulates angiogenesis via hepatocyte growth factor (107). Furthermore, HIF-1α induces overexpression of C1q binding protein (C1QBP), indirectly stimulating the NF-κB signaling cascade to upregulate VCAM1 expression and promote TNBC angiogenesis (). Short-term hyperoxia induces ROS formation, leading to increased brain-derived neurotrophic factor expression and VEGFR receptor upregulation through HIF-1α, promoting angiogenesis (108).
Although HIF-1α predominates in BC, the HIF-2α isoform is equally crucial as a key regulator of pathophysiological angiogenesis (109). RAB11B-AS1, a long noncoding RNA (lncRNA), enhances VEGFA and angiopoietin-like 4 (ANGPTL4) expression in hypoxic BC cells in a HIF-2α-dependent manner, promoting tumor angiogenesis and metastasis (110). In conclusion, angiogenesis is a multifaceted process, and HIF-1α significantly contributes to angiogenesis in BC (, 111).
3.2 Glucose metabolism
Enhanced glucose metabolism plays a vital role in the growth and division of cancer cells, which require significant amounts of biomass and alternate energy sources to offset the diminished oxidative phosphorylation. The activity of HIF is believed to be intimately associated with glucose metabolism. Genes activated by HIF transcription include crucial components of glucose metabolism, such as glucose transporters (GLUT1 and GLUT3), enzymes involved in the glycolytic pathway (hexokinase, phosphofructokinase, aldolase, glyceraldehyde 3-phosphate dehydrogenase, phosphoglycerate kinase, enolase, pyruvate kinase, and lactate dehydrogenase [LDH]), and pyruvate dehydrogenase (PDH) kinase (PDK) (Figure 4) (, , 112, 113). Du et al. investigated the potential roles and mechanisms of the hypoxic MIR210HG axis, finding that MIR210HG increases HIF-1α protein levels by directly interacting with the 5’-UTR of HIF1α mRNA. This elevation in HIF-1α protein enhances the expression of enzymes related to glycolysis (pyruvate kinase M2, LDHA) and GLUT1 (114). In hypoxic conditions, HIF-1α facilitates the shift of tumor cells from oxidative to glycolytic metabolism by triggering genes that encode glucose transporters and glycolytic enzymes (115). In particular, the overexpression of HIF-1α in glucose augments glucose absorption in tumor cells through the elevation of glucose transporter levels. The modification of proteins by O-linked β-N-acetylglucosamine (O-GlcNAc) (O-GlcNAcylation) influences glycolysis in BC cells via the HIF-1α/GLUT1 signaling pathway (, 116). Glucose is processed through the glycolytic pathway in tumor cells, generating substantial amounts of pyruvate (117). Hexokinase 2 (HK2) serves as both the initial and rate-limiting enzyme in the glycolysis pathway (). CircRNF20 is found to accelerate tumor progression by targeting miR-487a/HIF-1α/HK2 in BC (). HIF-1α enhances PDK activity and blocks the transformation of pyruvate to acetyl-CoA by inhibiting PDH; thus, reducing the entry of pyruvate into the tricarboxylic acid cycle (, 118). LDHA converts pyruvate into lactic acid, which is then transported out of the cell by the monocarboxylate transporter (MCT) (). As cancer cell metabolism shifts to aerobic glycolysis, lactate supplants pyruvate and is expelled into the tumor microenvironment (TME), thereby fostering an immunosuppressive milieu that supports tumor cell proliferation, metastasis, and invasion (119, 120).
Figure 4
Glycolysis can lead to an increase in HIF-1α levels, which in turn raises VEGF expression (121). Aerobic glycolysis stimulates angiogenesis by producing lactate, which acidifies the extracellular environment and enhances VEGF expression (122). Additionally, the end products of glycolysis, lactate and pyruvate, influence VEGF expression through the augmentation of HIF-1α levels (123–125). Hence, it is postulated that the transition to glycolysis precedes angiogenesis. In summary, HIF-1α plays a crucial role in regulating glucose metabolism in BC.
3.3 Invasion and metastasis
Invasion and metastasis involve the spread of cancer cells from the primary tumor site to distant organs, leading to the formation of secondary tumors (). Early estimates indicate that nearly two-thirds of cancer-related deaths and three-quarters of BC-related deaths result from metastasis (126). EMT, a process in which epithelial cells convert into mesenchymal cells through specific mechanisms, is a key aspect of tumor metastasis (127, 128). Cancer cells that undergo EMT exhibit enhanced invasive capabilities and resistance to apoptosis. Often, EMT is induced by hypoxia, with HIF-1α overexpression linked to various molecules and pathways (Figure 5) (, 129–132). Research has shown that hypoxia-induced HIF-1α expression leads to the activation of major transcription factors such as TWIST, Snail, Slug, SIP1, STAT3, and ZEB. This activation results in E-cadherin suppression and vimentin induction in BC, with HIF-1α inhibition markedly increasing E-cadherin levels (133). While E-cadherin encourages collective migration of mixed E/M phenotypes by inhibiting TGF-β, TGF-β activation promotes single-cell migration (134). CSF-1, a regulator of EMT, is influenced by hypoxia. HIF-1α induces a mixed E/M phenotype via its target gene CSF-1, facilitating collective migration (135). Additionally, hypoxia has been shown to increase Slug and Snail expression and decrease E-cadherin levels during HIF1-induced EMT through the Notch pathway (136). HIF-1α activates matrix metalloproteinases 1, 2, 9, and 14, aiding in the breakdown of extracellular matrix components and basement membrane degradation, thereby easing cancer cell migration and spread (, 113, 130, 137, 138). Chemokine receptors 4 (CXCR4) and 3 (CXCR3), associated with invasion, angiogenesis, metastasis, and prognosis, are upregulated by HIF-1-dependent expression, enhancing cell migration and survival during cycling (139, 140). HIF signaling impacts cell extravasation by modulating genes encoding L1 cell adhesion molecules and ANGPTL4, which reduces endothelial cell adhesion (141). He et al. (2020) showed that hypoxia-induced HIF-1α regulates BC cell migration and EMT through the MiR3383p/ZEB2 axis (142). Moon et al. identified MRPL52 as a transcriptional target of HIF-1α, with MRPL52 promoting EMT, migration, and invasion in hypoxic BC cells via the ROS-Notch1-Snail pathway (143).
Figure 5
Recent research indicates that HIF-dependent lncRNAs may contribute to the metastatic phenotype of BC cells. Under hypoxia, lncRNA BCRT1, regulated by HIF-1α transcriptionally, promotes EMT (144). Liu et al. identified HIF-1α as a potential transcription factor for lncRNA HLA complex group 18 (HCG18), with a positive correlation between HCG18 and HIF-1α expression in BC tissue. Knockdown of HIF-1α reduced HCG18 levels in BC cells, and HIF-1α binding to specific HREs in the HCG18 promoter stimulates HCG18 expression. In vivo assays showed that decreasing HCG18 expression in MDA-MB-231 cells curbed tumor growth and lung metastasis in xenograft mouse models, highlighting HIF1α’s role as a critical regulator of hypoxia-induced EMT and metastasis (145). Metastasis poses a significant prognostic challenge in BC, and targeting HIF-1α to inhibit BC metastasis presents a viable strategy.
3.4 Apoptosis and autophagy
Apoptosis, a genetically controlled form of cell death, is crucial for normal cellular regulation. Cancer cells, however, often evade apoptosis, contributing to chemotherapy resistance or tumor relapse. This evasion involves a complex interplay of proteins and cytokines. Research indicates that HIF-1α exhibits a dual role in apoptosis, capable of both inducing and counteracting it (). HIF-1α can induce and antagonize apoptosis (Figure 5). The proapoptotic effects of HIF-1α involve the regulation of genes such as BNIP, Bid, Bax, Bak, Bad, BNIP3, NIX, and NOXA (146), whereas its antiapoptotic effects are seen in the modulation of Bcl-2, Bcl-xL, and myeloid cell leukemia (Mcl-1) expression (). In MDA-MB-231 cells treated with paclitaxel, a HIF-1α-dependent alteration in the expression of various pro- and antiapoptotic genes was observed. Under hypoxic conditions, compared to normoxic conditions with paclitaxel, a reduction in proapoptotic gene expression (BAK1, CASP3, CASP8, CASP10, and TNFRSF10A) was noted (147).
HIFs also play a significant role in autophagy, another programmed cell death mechanism (Figure 5). In MCF7 cells subjected to radiation, HIF-1α induces autophagy by inhibiting the PI3K/AKT/mTOR/p70 pathway and increases the expression of Mcl-1 and BNIP-3 (148). Mcl-1 participates in the neutralization of proapoptotic proteins, inhibiting cytochrome c release from mitochondria (149), while BNIP-3, a mitochondrial protein in the Bcl-2 family, triggers selective mitophagy by releasing Beclin-1 to initiate autophagy (150, 151). The interplay between autophagy and apoptosis is crucial, especially for inducing cell death in antiapoptotic BC cell lines (152).
3.5 HIF-1α in cancer-associated fibroblasts
Cancer-associated fibroblasts (CAFs) interact with tumor cells to promote tumor cell growth and metastasis. CAFs, mainly normal interstitial fibroblasts (NFs), are the most abundant cell type in the stroma of breast cancer (153, 154). In breast cancer tumors, only a small fraction of fibroblasts are quiescent; these fibroblasts are responsible for the structural integrity of the extracellular matrix (ECM) and its nutrient supply and contribute to wound healing (155). However, most fibroblasts exhibit an activated phenotype characterized by producing various extracellular matrix components and paracrine mediators (156). Among the many mechanisms involved in transforming NFs to CAFs, local hypoxia has been proven to drive the differentiation of NFs into activated myofibroblasts by triggering the formation of reactive oxygen species (ROS) (157, 158). Additionally, CAF activation is reversible: chronic hypoxia inactivates CAFs, leading to the loss of contractility, reduction of surrounding extracellular matrix remodeling, and ultimately damage CAF-mediated cancer cell invasion (159). Studies have shown that hypoxia-dependent deletion of PHD2 suppresses tumor growth and reduces the metastatic activity of CAFs (160, 161). Hypoxia inhibited prolyl hydroxylase domain protein 2 (PHD2), resulting in the stabilization of HIF-1α, reduced expression of αSMA and periostin, and decreased myosin II activity. Treatment with the PHD inhibitor DMOG in an orthotopic breast cancer model significantly reduced spontaneous metastasis to the lungs and liver, which correlated with decreased tumor stiffness and fibroblast activation (159). Another study revealed that the loss of PHD2 is associated with normalization of the vasculature, reduced CAF activation, and decreased intravascular invasion of metastases (161). These findings suggest that blocking PHD2 in CAFs may be a novel strategy for inhibiting prometastatic signals in the breast cancer tumor microenvironment.
In fact, CAFs have been shown to regulate metabolic interdependency between cancer cells and their surrounding microenvironment through the action of HIF (162). HIF-1α is involved in regulating biventricular metabolic symbiosis between synthetic metabolic cancer cells and catabolic stromal fibroblasts (163). The enhanced glycolytic rate shown by CAFs is partially dependent on HIF signaling (164). Furthermore, the high-energy metabolic byproducts produced by catabolic CAFs are taken up by tumor cells to support their high anabolic demands. The increased metabolic flux in cancer cells generates ROS, which then propagate throughout the tumor microenvironment and through CAFs to promote HIF-dependent metabolic reprogramming (165).
3.6 Immune escape
Tumor immune escape, where cancer cells avoid detection and destruction by the host immune system (166), is facilitated under hypoxic conditions through HIF-1α overexpression(Figure 5) (167). HIFs increase CD47 immunoglobulin expression and hinder T cell proliferation and activation by attracting myeloid-derived suppressor cells (). Changes in the expression of CD47, CD73, and PDL1 in TNBC cells treated with chemotherapy agents like carboplatin, doxorubicin, gemcitabine, or paclitaxel enhance cancer cells’ ability to evade both innate and adaptive immune responses (168). Increased PDL1 mRNA expression in human TNBC cell lines was linked to elevated HIF-1α expression due to endoplasmic reticulum oxidoreductase 1-α (ERO1-α), with ERO1-α knockdown significantly reducing PDL1-mediated T-cell apoptosis, suggesting avenues for therapeutic intervention in hypoxia-mediated immune resistance (169).
Regulatory T cells (Tregs), which suppress immune responses through cytokines and metabolites, play a role in tumor development (170–173). In TNBC, HIF-1α modulates Tregs’ immunosuppressive functions and aggregation by regulating forkhead box P3 (FoxP3) and C-X-C motif CXCR4. HIF-1α enhances FoxP3 expression by binding to HREs and indirectly increases CXCR4 expression; thus, supporting immunosuppression (174). Moreover, M2 macrophages, known for their immunosuppressive capabilities through IL-10 and TGF-β release, are influenced by HIF-1α (175). This factor drives the polarization of tumor-associated macrophages (TAMs) towards an M2 phenotype, creating an immunosuppressive microenvironment. It has been shown that TAMs in TNBC are more likely to adopt an M2 phenotype compared to other BC subtypes (176, 177). HIF-1α, present in BRCA1-IRIS overexpressing TNBC cells, secretes high levels of granulocyte-macrophage colony-stimulating factor (GM-CSF), recruiting and polarizing macrophages towards an M2 phenotype; thus, facilitating immune escape (178, 179). HIF-1α’s ability to polarize TAM to M2 by regulating GM-CSF and macrophage CSF-1 in TNBC underscores its role in promoting immune evasion. HIF can also lead to extracellular acidification by regulating the expression of MCT4, which not only diminishes immune response efficiency but also impacts the efficacy of anticancer drugs (180).
3.7 Noncoding RNA regulates HIF-1α
Based on their genomic locations, long noncoding RNAs (lncRNAs) are categorized into five types: antisense, sense, intergenic, intronic, or bidirectional. The location of lncRNAs can be specific to the nucleus, the cytoplasm, or both (, 181). The expression of lncRNAs is regulated similarly to that of protein-coding RNAs, through mechanisms such as epigenetic modification, gene transcription, and post-transcriptional regulation (182). In tumors, lncRNAs are often abnormally expressed and play roles in the regulation of tumor proliferation, invasion, metastasis, metabolism, angiogenesis, and survival (183, 184). Certain noncoding RNAs can influence tumor-related biological processes by regulating HIF-1α (Figure 6) (, 185, 186). For instance, LINC00649 enhances the stability of HIF-1α mRNA and protein expression by interacting with the nuclear factor 90 (NF90)/NF45 complex (187). MIR210HG specifically impacts triple-negative breast cancer (TNBC) by regulating HIF-1α at the translation level, thereby increasing HIF-1α protein expression and influencing the expression of glycolysis genes (114). MicroRNAs (miRNAs) exert a dual regulatory effect on HIF-1α, both promoting and inhibiting its expression. Saatci et al. identified eight common miRNAs that target HIF-1α, lysyl oxidase (LOX), and ITGA5, with miR-142–3p and miR-128–3p showing negative correlation with the expression of HIF-1α, LOX, and ITGA5. Hypoxia can inhibit miR-142–3p, leading to increased HIF-1α mRNA and protein expression, activating the FAK/Src signaling pathway, and triggering chemotherapy resistance in TNBC (188). However, the regulatory mechanism of miR-142–3p on HIF-1α remains unclear. Overexpression of miR-101 decreases VHL levels, stabilizing HIF-1α and inducing VEGFA expression, ultimately enhancing TNBC invasiveness (189). Thus, noncoding RNA regulates HIF-1α expression in TNBC by maintaining the stability of the HIF-1α protein and regulating the stability and translation level of HIF-1α mRNA.
Figure 6
3.8 HIF-1α and drug resistance of breast cancer
In BC treatment options vary by subtype and include surgery, endocrine therapy, chemotherapy, radiotherapy, and targeted therapy, with drug therapy playing a crucial role depending on the tumor classification. However, drug resistance presents a significant challenge in BC treatment (190–192), often due to inherent or acquired resistance over time (193). Hypoxia is a common characteristic of both primary and metastatic BC (194), with HIF-1α expression in tumor tissues associated with poor prognosis and drug resistance (Figure 7) (132). Research indicates that HIF-1α may contribute to resistance against conventional therapies via various signaling pathways, including drug efflux, tumor stem cell enrichment, autophagy, and apoptosis (192, 195), necessitating further investigation into HIF-1α-induced drug resistance mechanisms in BC.
Figure 7
3.9 Increased expression of drug outflow pump
Drug efflux transporters such as MDR1, multidrug resistance-associated protein 1 (MRP1), and breast cancer resistance protein (BCRP) are directly regulated by HIF-1α (Figure 7), encoded by the ATP-binding cassette (ABC) transporters ABCB1, ABCC1, and ABCG2, respectively. Their promoters contain HREs sensitive to HIF-1α transcriptional regulation (196). The link between these transporters and drug resistance in BC has been extensively studied (197–199), with all three proteins inducing drug resistance by facilitating drug efflux from tumor cells. Studies have shown that hypoxia-induced MDR1 expression can be significantly reduced by inhibiting HIF-1 expression with antisense oligonucleotides (200).In a separate investigation, 41% of BC tumors exhibited increased levels of MDR1, leading to a threefold higher likelihood of chemotherapy failure (201). Taxanes and anthracyclines represent the primary chemotherapy agents for BC treatment. The upregulation of MDR1, also referred to as P-glycoprotein or Pgp, contributes to resistance against taxanes and anthracyclines (202). The activation of HIF-1α enhances the resistance of BC cells to these drugs (147, 203, 204). The genes ABCC1 and ABCG2, which encode MRP1 and BCRP, respectively, possess hypoxia response elements (HREs) upstream of their coding sequences. The deletion of these elements can prevent hypoxia-induced activation (196, 205). MRP1 is elevated in cells with activated HIF-1α, and this effect can be reversed by HIF-1α siRNA, indicating that ABCC1 is a direct target of HIF-1α. Another investigation discovered that HIF-1α binds to the HRE region of the BCRP promoter in LTLTCa cells, with significantly increased binding observed in the presence of CoCl2 (206). The expression of BCRP correlated with the degree of drug resistance to irinotecan and topotecan (207). Hence, it is proposed that the expression and stability of HIF-1α can enhance the mRNA and protein levels of MDR1, MRP1, and BRCP, thereby contributing to HIF-1α-mediated drug resistance.
3.10 Upregulation of autophagy
Autophagy has been shown to increase resistance to endocrine and cytotoxic drugs in BC (208–210). HIF-1α can activate various molecular mechanisms, such as inducing PTP-PEST expression and activating AMPK, which in turn increases BNIP3 expression. This disrupts the interaction between Beclin-1 and Bcl-2 and induces autophagy, thereby increasing BC cells’ resistance to drugs like adriamycin (211, 212). Additionally, endocrine therapies, including tamoxifen and flurvist, have been found to increase autophagy markers in drug-resistant BC cells (213, 214). Thus, HIF-1α plays a role in inducing BC resistance to both endocrine and cytotoxic drugs by upregulating autophagy.
3.11 Inhibition of apoptosis
Apoptosis, leading to cell death, is a crucial outcome of most cancer treatments. Cancer cells, however, have developed mechanisms to evade apoptosis, contributing to resistance to chemotherapy or recurrence of tumors (215). This evasion involves various proteins and cytokines, including the Bcl-2 family, apoptosis inhibitor proteins, and the caspase family, along with cytochrome c and proteases (146). HIF-1α plays a direct role in the regulation of apoptosis, exhibiting both proapoptotic and antiapoptotic effects (146). The proapoptotic actions of HIF-1α include the downregulation of proapoptotic members of the Bcl-2 family, such as BNIP3, NIX, and NOXA, while its antiapoptotic effects involve increasing the levels of antiapoptotic proteins like Bcl-2, Bcl-xL, and Mcl-1, and decreasing the levels of proapoptotic proteins such as Bid, Bax, and Bak (216–218). In breast cancer (BC) cells, alterations in apoptotic activity following HIF-1α activation are associated with increased drug resistance (147, 219, 220), though the precise mechanisms warrant further investigation.
3.12 Maintenance of the dryness of cancer cells
Stem cells play a significant role in BC, driving tumor progression and metastasis, and displaying inherent resistance to chemotherapy and radiotherapy (221, 222). These cells can enhance drug efflux, increase drug metabolism in the tumor, activate survival pathways like Notch and Hedgehog, and dampen apoptosis signaling, all contributing to chemoresistance (223). HIF-1α directly upregulates genes such as NANOG, SOX2, KLF4, and OCT4, which inhibit differentiation and maintain a stem cell-like phenotype (203, 224). Furthermore, HIF-1α supports the survival of breast cancer stem cells (BCSC) by inducing ROS-dependent expression of HIF-1α and HIF-2α, leading to HIF-mediated expression of IL-6, IL-8, and MDR1. Exposure of MDA-MB-231, SUM-149, and SUM-159 cells to paclitaxel increased the percentage of ALDH+ cells, indicative of stem cell characteristics, by twelvefold in vitro and in vivo (203). Therefore, HIF-1α activation promotes the proliferation and enrichment of tumor stem cells, contributing to drug resistance.
3.13 Strategies to overcome HIF-1α-dependent drug resistance
To overcome HIF-1α-dependent drug resistance, strategies involve directly or indirectly targeting HIF-1α with inhibitors (225). Direct inhibitors of HIF-1α target protein-protein/DNA interactions, impacting DNA binding, transcriptional activity of HIF-1α, heterodimerization with HIF-1β, and interactions with transcriptional coactivators (226–230). Indirect inhibitors aim to downregulate HIF-1α transcription or translation, reduce HIF-1α stability, or prevent its degradation, offering potential pathways to mitigate drug resistance in cancer treatment.
3.14 Breast cancer therapy targeting HIF-1α
Numerous studies have highlighted the potential of HIF-1α inhibitors and compounds targeting the HIF-1α pathway, demonstrating their effectiveness in vitro (, )(Table 2). For instance, treatment of MDA-MB-231 cells with the PHD inhibitor molidustat, which stabilizes HIF, resulted in reduced viability, growth, clone formation, cell cycle arrest, and increased chemosensitivity, indicating potential anticancer activity of HIF (249) Among 68 newly synthesized arylformamide compounds, compound 30 m showed the most potent inhibitory activity against HIF-1α with minimal cytotoxicity, effectively reducing hypoxia-induced HIF-1α protein accumulation (, 250). However, clinical trials have failed to show the effect of HIF-1α inhibitors in BC treatment (, 251)(Table 3). Preliminary data published in 2013 showed some clinical efficacy of digoxin in patients with stages I–III BC. However, the treatment window of the drug is narrow; serum levels exceeding 1–2 nM produce significant side effects. So far, no follow-up data are available (192, 252). The differential expression of HIF-1α and HIF-1α inhibitor monotherapy may be the factors limiting the efficacy of anti-HIF-1α therapy (). Yu et al. discussed the lack of clinical effectiveness of HIF-1α inhibitors (230). First, although both HIF-1α and HIF-2α are involved in cancer progression, most inhibitors have targeted only HIF-1α. Therefore, the role of HIF-2α in drug resistance needs to be understood. Second, patient selection contributes to the success of clinical trials. Accuracy in the measurement of tumor HIF-1α may help to better distinguish responders from non-responders. Finally, although hypoxia varies between and within different BC subtypes, evidence suggests that the hypoxia of the patient’s tumor itself is different (253). This heterogeneity may be the main determinant of the overall drug response. Considering the limitations of HIF-1α inhibitors, a combination of HIF-1α inhibitors with chemotherapeutic drugs or other agents may improve outcomes. A preclinical study indicated that digoxin enhances the sensitivity of triple-negative breast cancer cell lines to paclitaxel and gemcitabine in vivo (203). Interestingly, molidustat has been found to enhance the cytotoxicity of gemcitabine in MDA-MB-231 cells (249). However, currently, the related combination therapy of BC is in the preclinical stage, and thus, a clear conclusion cannot be drawn. The latest HIF-1α drug delivery system is based on nanocarriers that can improve targeting specificity, overcome solubility problems, reduce drug toxicity, and maintain safe drug concentrations. Furthermore, the mode of drug administration also affects the efficacy of HIF-1α-related drugs and should be investigated in future research (). In conclusion, the results on BC cell lines show that aspects, such as comparison of HIF-1α and HIF-2α inhibition, double vs. single isomer inhibition, different statuses of hormone receptors, metastasis, and other unexplored issues, should be considered. Thus, we need to understand the role of HIFs in BC before targeting them for clinical application ().
Table 2
| Compound | Mechanism | Type of study | Model | References |
|---|---|---|---|---|
| KC7F2 | Decrease HIF-1a protein accumulation | In vitro | MCF-7 | (231) |
| Quercetin | Inhibiting HIF-1a protein accumulation | In vitro | SkBr3 | (232) |
| LXY6006 | Inhibit HIF-1a nuclear accumulation | In vitro | T47D, MDMBA-231, MX-1 | (233) |
| Aminoflavone | AF inhibits HIF-1α expression | In vitro | Mouse model (MCF-7) | (234) |
| 7-Hydroxyneolamellarin A | Inhibit HIF-1a protein accumulation | In vivo | Mouse model (4T1) | (235) |
| Methylalpinumisoflavone | Inhibits HIF-1 activation by blocking the induction of nuclear HIF-1α protein | In vitro | T47D, MDAMB-231 | (236) |
| Cardenolides | Inhibited HIF-1 transcriptional activity dose-dependentl | In vivo | MCF-7 | (237) |
| PX-478 | Suppresses HIF-1a levels | In vitro | Mouse model (MCF-7) | (238) |
| DJ12 | Decrease HIF-1a transactivation and DNA binding | In vitro | MDA-468, ZR-75, MD435 | (239) |
| Isoliquiritigenin | Isoliquiritigenin inhibits the expression of HIF-1α by inhibiting the PI3K/Akt and NF- κB signaling pathways, thereby inhibiting the expression of VEGF and the metastasis of TNBC | In vitro | MDA-MB-231 cells | (240) |
| Cardamonin | Cardamonin inhibits the transcriptional level of HIF-1α by inhibiting the mTOR/p70S6K pathway, reducing the level of HIF-1α protein, thereby enhancing mitochondrial oxidative phosphorylation and reducing glucose uptake and lactate production. | In vitro | MDA-MB-231 cells | (241) |
| Nanoliposomalechinomycin | The activity of HIF-1 can be inhibited by directly inhibiting the transcriptional activity of HIF-1α and effectively blocking the binding between HIF-1 and HRE. | In vivo | MDA-MB-231 breast cancer mice and SUM-159 breast cancer mice | (242) |
| Melittin | Melitin inhibits HIF-1α expression at the transcriptional level mainly by inhibiting NF-kB expression | In vitro | MDA-MB-231 cells | (243) |
| As4S4 nanoparticles | As4S4 nanoparticles reduce the transcription level of HIF-1α by scavenging ROS and inhibit the metastasis of TNBC. | In vivo | 4T1 breast cancer mice | (244) |
| Sanguinarine | Sanguinarine promotes proteasomal degradation of HIF-1α by inactivating STAT3 under hypoxia and hinders breast cancer growth in vivo | In vitro | MDA-MB-231 cells | (245) |
| Ganetespib | Ganetespib promotes the degradation of HIF-1α protein, reduces the levels of HIF- 1α protein and target gene proteins and controls angiogenesis, metabolism, invasion and metastasis in TNBC mice. | In vitro | MDA-MB-231 cells | (246) |
| Acriflavine | Inhibition of TNBC premetastatic niche formation by targeting HIF-1α | In vitro | MDA-MB-232 cells | (247) |
| Diallyl Trisulfides | DATS inhibits the synthesis of HIF-1α protein by inhibiting the translation level of HIF-1α, thereby reducing the transcriptional activation of downstream target genes L1CAM, snail, slug, VEGF and MMP-2, thereby inhibiting the metastasis of TNBC. | In vitro | MDA-MB-233 cells | (248) |
HIF-1α inhibitors under investigation in BC.
Table 3
| Drug | Main Outcomes | Conditions | Clinical Phase | Study Type | Status | NCT Number |
|---|---|---|---|---|---|---|
| Digoxin | There was not enough data to analyze HIF-1alpha expression because of the limited tumor samples | Breast Cancer | II | Interventional | Completed | NCT01763931 |
| Bevacizumab, docetaxel | The rate of serious adverse events is about 18.06% and the rate of other adverse events is 98.61% in total | Breast Cancer | II | Interventional | Completed | NCT00559754 |
| Paclitaxel plus bevacizumab | There was no significant difference between HIF-1alpha polymorphism and longer PFS in patients treated with paclitaxel and bevacizumab | Metastatic Breast Cancer | I | Observational | Completed | NCT01935102 |
| Vinorelbine | Metronomic dosing of oral vinorelbine in HR+/HER2- MBC as first-line CT after failure of endocrine therapies showed only limited benefit in patients | Metastatic Breast Cancer | II | Interventional | Completed | NCT03007992 |
HIF-1α related clinical studies in BC.
4 Prospect
HIF-1α, an important transcription factor under hypoxic conditions, plays a crucial role in the growth and development of the body as well as various physiological and pathological processes. HIF-1α induces the expression of numerous genes related to angiogenesis, growth and survival, invasion and metastasis, glucose metabolism, epithelial–mesenchymal transition (EMT), immune evasion, and resistance to various cancer treatments. The overexpression of hypoxia-inducible factor-1α (HIF-1α) is also closely related to drug resistance and prognosis in breast cancer patients. Therefore, regulating the activity of HIF-1α may be a breakthrough in treating many diseases. Upregulating the activity of HIF-1α can increase cell survival under hypoxic conditions and enhance angiogenesis in hypoxic tissues. Conversely, HIF-1α inhibitors can block angiogenesis and reduce the survival rate of hypoxic or inflammatory tissues. This article elaborates on the structure and function of HIF-1α, its mechanism of action in developing breast cancer, and drug resistance mechanisms. This review also summarizes strategies to overcome HIF-1α-dependent drug resistance and the current status of targeted HIF-1α therapy for breast cancer.
However, the complex interactions among multiple pathways involving HIF-1α pose greater challenges for its clinical application as an inhibitor. A deeper understanding of the intricate interactions between oxygen tension, the microenvironment, receptor expression, and HIF-1α expression is needed. This not only facilitates the development of new drug combinations but also aids in the discovery of novel drug targets for breast cancer treatment. Currently, drugs targeting HIF-1α are mainly focused on preclinical research, and their actual clinical effects, patient tolerance, dosing regimens, and other factors require further evaluation and validation. Additionally, drug delivery and efficacy are limited by factors such as tumor acidosis, hypoxic microenvironments, and elevated interstitial fluid pressure within tumors. Therefore, there is a need to develop more suitable drug carriers and delivery systems to enhance therapeutic outcomes. In conclusion, more comprehensive and in-depth research is required on HIF-1α and the pathways it mediates. Although current clinical trials have not yet demonstrated satisfactory results for HIF-1α inhibitors as monotherapy in breast cancer treatment, with continuous and in-depth research on the role of HIF-1α in cancer development, it is believed that targeted HIF-1α therapeutics will bring new hope to breast cancer patients in the near future.
Statements
Author contributions
ShiZ: Validation, Writing – original draft. CC: Validation, Writing – review & editing. HH: Visualization, Writing – review & editing. ZZ: Supervision, Writing – review & editing. FZ: Conceptualization, Funding acquisition, Writing – review & editing. ShuZ: Conceptualization, Funding acquisition, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was supported by the Sichuan Science and Technology Program (2022YFS0623) and the Natural Science Foundation of Southwest Medical University (2022QN079).
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.
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.
Glossary
| BC | Breast cancer |
| EMT | Epithelial-mesenchymal transition |
| HIF | Hypoxia-inducible factor |
| HIF-1α | Hypoxia-inducible factor-1α |
| HIF-2α | Hypoxia-inducible factor-2α |
| HIF-3α | Hypoxia-inducible factor-3α |
| HIF-1β | Hypoxia-inducible factor-1β |
| bHLH- PAS | Basic helix-loop-helix/Per-ARNT-Sim |
| TADs | Transactivation domains |
| C-TAD | C-terminal transactivation domain |
| N-TAD | N-terminal transactivation domain |
| CBP/p300 | cAMP response element-binding protein and p300 protein |
| ODDD | Oxygen-dependent degradation domain |
| NLS | Nuclear localization signals |
| PHDs | Prolyl hydroxylase domain-containing proteins |
| FIH | Factor inhibiting HIF-1α |
| VHL | Von Hippel–Lindau protein |
| Ub | Ubiquitin |
| HRE | Hypoxia response element |
| TNBC | Triple negative breast cancer |
| NF-κB | Nuclear factor-κB |
| IKK | Inhibitor of NF-κB kinase |
| TNF | Tumor necrosis factor |
| IL1 | Interleukin 1 |
| VEGF | Vascular endothelial growth factor |
| VEGFR | Vascular endothelial growth factor receptor |
| HGF | Hepatocyte growth factor |
| VCAM1 | Vascular cell adhesion molecule 1 |
| BRK | Breast tumor kinase |
| C1QBP | Complement C1q binding protein |
| BDNF | Brain-derived neurotrophic factor |
| ROS | Reactive oxygen species |
| ANGPTL4 | Angiopoetin-like 4 |
| OXPHOS | Oxidative phosphorylation |
| GLUT | Glucose transporter |
| HK2 | Hexokinase 2 |
| PFK1 | 6-phosphofructokinase1 |
| ALD | Aldolase |
| ENO | Enolase |
| GAPD | Glyceraldehyde-3-phosphate dehydrogenase |
| PGK | Phosphoglycerate kinase |
| PK | Pyruvate kinase |
| LDHA | Lactate Dehydrogenase A |
| PKM2 | Pyruvate kinase isozymes M2 |
| PDK1 | Pyruvate dehydrogenase kinase 1 |
| PDH | Pyruvate dehydrogenase kinase |
| MCT | Monocarboxy latetransporter |
| TCA | Tricar boxylic acid |
| Twist1 | Twist-related protein 1 |
| STAT3 | Signal transducer and activator of transcription 3 |
| ZEB | Zinc finger E-box binding homeobox |
| TGF-β | Transforming growth factor-β |
| CSF-1 | Colony-stimulating factor 1 |
| MMP | Matrix metalloproteinase |
| CXCR4 | C-X-C chemokine receptor type4 |
| CXCR3 | C-X-C chemokine receptor type3 |
| BNIP | BCL2/adenovirus E1B 19 kDa interacting protein |
| Bid | BH3 interacting domain death agonist |
| BAX | Bcl-2-associated X protein |
| BAK | BCL2 antagonist/killer |
| Bad | BCL2 associated agonist of cell death |
| BNIP3 | B cell lymphoma 2 interacting protein 3 |
| NIX | NIP3-like protein X |
| BCL2 | B-cell lymphoma 2 |
| Bcl-XL | B-cell lymphoma 2-extra-large protein |
| BNIP3L | BNIP3-like protein |
| PI3K | Phosphoinositide 3-kinase |
| AKT | Protein kinase B |
| mTOR | Mechanistic target of rapamycin |
| BIM | BCL2 like 11 |
| Tregs | Regulatory T cells |
| PDL1 | Programmed cell death ligand 1 |
| ERO1 | Endoplasmic reticulum oxidoreductin 1 |
| FOXP3 | Forkhead box protein 3 |
| IL10 | Interleukin 10 |
| GM-CSF | Granulocyte-macrophage colony-stimulating factor |
| NF45 | Nuclear factor 45 |
| NF90 | Nuclear factor 90 |
| LOX | Lysyl oxidase |
| ITGA5 | Integrin alpha 5 |
| MDR1 | Multidrug resistance gene 1 |
| MRP1 | Recombinant multidrug resistance associated protein 1 |
| BCRP | Breast cancer resistance protein |
| ELP3 | Elongator complex protein 3 |
| PAK1 | P21-activated protein kinase |
| AMPK | AMP-activated protein kinase |
| ATG5 | Autophagy-related gene 5 |
| CSC | Cancer stem cell |
| Oct4 | Octamer transcription factor 4 |
| SOX2 | SRY-box transcription factor 2 |
| NANOG | Nanog homeobox |
| KLF4 | Kruppel-like transcription factor 4. |
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Summary
Keywords
breast cancer, hypoxia-inducible factor, angiogenesis, invasion and metastasis, apoptosis and autophagy, drug resistance
Citation
Zhi S, Chen C, Huang H, Zhang Z, Zeng F and Zhang S (2024) Hypoxia-inducible factor in breast cancer: role and target for breast cancer treatment. Front. Immunol. 15:1370800. doi: 10.3389/fimmu.2024.1370800
Received
15 January 2024
Accepted
26 April 2024
Published
10 May 2024
Volume
15 - 2024
Edited by
Ying Lin, Sun Yat-Sen University, China
Reviewed by
Daniele Vergara, University of Salento, Italy
Subhadeep Roy, National Institute of Pharmaceutical Education and Research, India
Abhishek Basu, National Institutes of Health (NIH), United States
Updates
Copyright
© 2024 Zhi, Chen, Huang, Zhang, Zeng and Zhang.
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: Shujun Zhang, zhangshujun@swmu.edu.cn; Fancai Zeng, zfcai@swmu.edu.cn
Disclaimer
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