The DOI matches its Crossref record; 179 of the 179 references it cites were found in a registry or an index.
The transcriptional factors HIF-1 and HIF-2 and their novel inhibitors in cancer therapy
Open accessAbstract
Introduction: Hypoxia is one of the intrinsic features of solid tumors, and it is always associated with aggressive phenotypes, including resistance to radiation and chemotherapy, metastasis, and poor patient prognosis. Hypoxia manifests these unfavorable effects through activation of a family of transcription factors, Hypoxia-inducible factors (HIFs) play a pivotal role in the adaptation of tumor cells to hypoxic and nutrient-deprived conditions by upregulating the transcription of several pro-oncogenic genes. Several advanced human cancers share HIFs activation as a final common pathway.Areas covered: This review highlights the role and regulation of the HIF-1/2 in cancers and alludes on the biological complexity and redundancy of HIF-1/2 regulation. Moreover, this review summarizes recent insights into the therapeutic approaches targeting the HIF-1/2 pathway.Expert opinion: More studies are needed to unravel the extensive complexity of HIFs regulation and to develop more precise anticancer treatments. Inclusion of HIF-1/2 inhibitors to the current chemotherapy regimens has been proven advantageous in numerous reported preclinical studies. The combination therapy ideally should be personalized based on the type of mutations involved in the specific cancers, and it might be better to include two drugs that inhibit HIF-1/2 activity by synergistic molecular mechanisms.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Samanta, D., Gilkes, D. M., Chaturvedi, P., Xiang, L., & Semenza, G. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1421438111 · Cited by 460
RetractedWang, G. L., Jiang, B. H., Rue, E. A., & Semenza, G. L. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.12.5510 · Cited by 6,212
Jaakkola, P., Mole, D. R., Tian, Y.-M., Wilson, M. I., Gielbert, J., Gaskell, S. J., Kriegsheim, A. V., Hebestreit, H. F., Mukherji, M., Schofield, C. J., et al. (2001) · Science · doi:10.1126/science.1059796 · Cited by 5,535
The tumour suppressor protein VHL targets hypoxia-inducible factors for oxygen-dependent proteolysis
Maxwell, P. H., Wiesener, M. S., Chang, G.-W., Clifford, S. C., Vaux, E. C., Cockman, M. E., Wykoff, C. C., Pugh, C. W., Maher, E. R., & Ratcliffe, P. J. (1999) · Nature · doi:10.1038/20459 · Cited by 5,180
Targeting hypoxia in cancer therapy
Wilson, W. R., & Hay, M. P. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3064 · Cited by 3,172
Tumor Hypoxia: Definitions and Current Clinical, Biologic, and Molecular Aspects
Hockel, M., & Vaupel, P. (2001) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/93.4.266 · Cited by 2,662
A conserved family of prolyl-4-hydroxylases that modify HIF
Bruick, R. K., & McKnight, S. L. (2001) · Science · doi:10.1126/science.1066373 · Cited by 2,549
Hypoxia-mediated selection of cells with diminished apoptotic potential in solid tumours
Graeber, T. G., Osmanian, C., Jacks, T., Housman, D. E., Koch, C. J., Lowe, S. W., & Giaccia, A. J. (1996) · Nature · doi:10.1038/379088a0 · Cited by 2,300
(1999) · PubMed · Cited by 2,204
Gray, L. H., Conger, A. D., Ebert, M., Hornsey, S., & Scott, O. C. A. (1953) · The British Journal of Radiology · doi:10.1259/0007-1285-26-312-638 · Cited by 2,158
Cited by
Angiogenic signaling pathways and anti-angiogenic therapy for cancer
Liu, Z.-L., Chen, H.-H., Zheng, L.-L., Sun, L.-P., & Shi, L. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01460-1 · Cited by 1,300
Cancer Cell Metabolism in Hypoxia: Role of HIF-1 as Key Regulator and Therapeutic Target
Infantino, V., Santarsiero, A., Convertini, P., Todisco, S., & Iacobazzi, V. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22115703 · Cited by 499
Hypoxia and the Tumor Microenvironment
Li, Y., Zhao, L., & Li, X.-F. (2021) · Technology in Cancer Research & Treatment · doi:10.1177/15330338211036304 · Cited by 394
Hypoxia Dictates Metabolic Rewiring of Tumors: Implications for Chemoresistance
Belisario, D. C., Kopecka, J., Pasino, M., Akman, M., De Smaele, E., Donadelli, M., & Riganti, C. (2020) · Cells · doi:10.3390/cells9122598 · Cited by 133
Kao, T.-W., Bai, G.-H., Wang, T.-L., Shih, I.-M., Chuang, C.-M., Lo, C.-L., Tsai, M.-C., Chiu, L.-Y., Lin, C.-C., & Shen, Y.-A. (2023) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-023-02724-y · Cited by 89
Metadata
- Authors
- Albadari, N., Deng, S., & Li, W.
- Venue
- Expert Opinion on Drug Discovery
- Publisher
- Informa UK Limited
- Published
- 2019-05-09
- Volume
- 14
- Issue
- 7
- Pages
- 667-682
- ISSN
- 1746-0441 (ISSN-L)
- 1746-045X
- OpenAlex
- W2944542809
- Cited by
- 351
- References
- 179
- FWCI
- 11.20
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The transcriptional factors HIF-1 and HIF-2 and their novel inhibitors in cancer therapy. https://app.cochat.ai/papers/10.1080/17460441.2019.1613370
- The paper
- Albadari, N., Deng, S., & Li, W. (2019). The transcriptional factors HIF-1 and HIF-2 and their novel inhibitors in cancer therapy. Expert Opinion on Drug Discovery. https://doi.org/10.1080/17460441.2019.1613370
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.
