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Cited by 654

The DOI matches its Crossref record; 211 of the 211 references it cites were found in a registry or an index.

Hypoxia, Clonal Selection, and the Role of HIF-1 in Tumor Progression

Semenza, Gregg L.·2000·Critical Reviews in Biochemistry and Molecular Biology

Abstract

Tumor progression occurs as a result of the clonal selection of cells in which somatic mutations have activated oncogenes or inactivated tumor suppressor genes leading to increased proliferation and/or survival within the hypoxic tumor microenvironment. Hypoxia-inducible factor 1 (HIF-1) is a transcription factor that mediates adaptive responses to reduced O2 availability, including angiogenesis and glycolysis. Expression of the O2-regulated HIF-1alpha subunit and HIF-1 transcriptional activity are increased dramatically in hypoxic cells. Recent studies indicate that many common tumor-specific genetic alterations also lead to increased HIF-1alpha expression and/or activity. Thus, genetic and physiologic alterations within tumors act synergistically to increase HIF-1 transcriptional activity, which appears to play a critical role in the development of invasive and metastatic properties that define the lethal cancer phenotype.

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Metadata

Authors
Semenza, G. L.
Venue
Critical Reviews in Biochemistry and Molecular Biology
Published
2000-01
Volume
35
Issue
2
Pages
71-103
ISSN
  • 0045-6411 (ISSN-L)
  • 1040-9238
  • 1549-7798
OpenAlex
W2140575551
Cited by
654
References
211
FWCI
1.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Hypoxia, Clonal Selection, and the Role of HIF-1 in Tumor Progression. https://app.cochat.ai/papers/10.1080/10409230091169186
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Semenza, G. L. (2000). Hypoxia, Clonal Selection, and the Role of HIF-1 in Tumor Progression. Critical Reviews in Biochemistry and Molecular Biology. https://doi.org/10.1080/10409230091169186

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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.