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HIF-1 Signaling in Drug Resistance to Chemotherapy
Abstract
Activation of hypoxia-inducible factor 1 (HIF-1) signaling is observed in a broad range of human cancers due to tumor hypoxia and epigenetic mechanisms. HIF-1 activation leads to the transcription of a plethora of target genes that promote physiological changes associated with therapeutic resistance, including the inhibition of apoptosis and senescence and the activation of drug efflux and cellular metabolism. As a result, targeting HIF-1 represents an attractive strategy to enhance the efficacy of current therapies as well as reduce resistance to chemotherapy in tumors. Approaches to inhibit HIF-1 signaling have primarily focused on reducing HIF-1α protein levels, by inducing its degradation or inhibiting its transcription, inhibiting HIF-1-mediated transcription, or disrupting the formation of the HIF-1 transcription factor complex. To date, multiple preclinical and clinical agents have been identified that effectively inhibit HIF-1 activity through various mechanisms, likely accounting for a portion of their anti-tumor efficacy. This review aims to provide an overview of our current understanding of the role of HIF-1 in therapeutic resistance and discuss the ongoing effort to develop HIF-1 inhibitors as an anti-cancer strategy.
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“Numerous reports demonstrated that inhibition of HIF-1α could overcome resistance of tumor cells to chemotherapy [25, 26].”
From Inhibition of HIF-1α by PX-478 enhances the anti-tumor effect of gemcitabine by inducing immunogenic cell death in pancreatic ductal adenocarcinoma (2015) · cites this paper as [25]
In the citing paper
“HIF-1α is an important transcription factor for tumor growth, invasion, angiogenesis, metabolism and drug resistance [7, 10, 25].”
From Inhibition of HIF-1α by PX-478 enhances the anti-tumor effect of gemcitabine by inducing immunogenic cell death in pancreatic ductal adenocarcinoma (2015) · cites this paper as [25]
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Retracted
Metadata
- Authors
- Warfel, N. A., & El-Deiry, W. S.
- ORCID
- Warfel, N.A.
- Venue
- Current Medicinal Chemistry
- Publisher
- Bentham Science Publishers Ltd.
- Published
- 2014-04-13
- Volume
- 21
- Issue
- 26
- Pages
- 3021-3028
- ISSN
- 0929-8673 (ISSN-L)
- OpenAlex
- W1982621240
- Cited by
- 109
- References
- 0
- Citations by year
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- FWCI
- 4.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Angiogenesis and VEGF in Cancer
- Physical Sciences › Chemistry › Organic Chemistry › Heterocyclic Compound Synthesis and Bioactivity
- Keywords
- HIF-1 signaling, HIF-1, chemoresistance, tumor hypoxia, HIF-1α degradation, HIF-1 inhibitors, epigenetic regulation, apoptosis inhibition, senescence, drug efflux, cellular metabolism, cancer therapy
- MeSH terms
- Humans, Neoplasms, Signal Transduction, Apoptosis, Drug Resistance, Neoplasm, Hypoxia-Inducible Factor 1, Molecular Targeted Therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.