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A MicroRNA Signature of Hypoxia
Open accessAbstract
Recent research has identified critical roles for microRNAs in a large number of cellular processes, including tumorigenic transformation. While significant progress has been made towards understanding the mechanisms of gene regulation by microRNAs, much less is known about factors affecting the expression of these noncoding transcripts. Here, we demonstrate for the first time a functional link between hypoxia, a well-documented tumor microenvironment factor, and microRNA expression. Microarray-based expression profiles revealed that a specific spectrum of microRNAs (including miR-23, -24, -26, -27, -103, -107, -181, -210, and -213) is induced in response to low oxygen, at least some via a hypoxia-inducible-factor-dependent mechanism. Select members of this group (miR-26, -107, and -210) decrease proapoptotic signaling in a hypoxic environment, suggesting an impact of these transcripts on tumor formation. Interestingly, the vast majority of hypoxia-induced microRNAs are also overexpressed in a variety of human tumors.
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“miR-23a was induced under hypoxic circumstances and can ultimately act upon pro-apoptotic signals to promote tumor formation and oncogenic transformation [89].”
From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [89]
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“Another factor that can induce miR-21 expression is hypoxia, a general feature of all solid tumors (30).”
From MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators (2008) · cites this paper as [30]
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Metadata
- Authors
- Kulshreshtha, R., Ferracin, M., Wojcik, S. E., Garzon, R., Alder, H., Agosto-Perez, F. J., Davuluri, R., Liu, C.-G., Croce, C. M., Negrini, M., Calin, G. A., & Ivan, M.
- Affiliations
- Tufts Medical Center (US)
- University of Ferrara (IT)
- The Ohio State University (US)
- Comprehensive Cancer Center, Ohio State University
- Corresponding author
- Ivan, Mircea
- ORCID
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2007-03-01
- Volume
- 27
- Issue
- 5
- Pages
- 1859-1867
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- PMC
- PMC1820461
- OpenAlex
- W2116000203
- Cited by
- 1,055
- References
- 31
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 26 · 2023: 32 · 2022: 45 · 2021: 50 · 2020: 43 · 2019: 54 · 2018: 38 · 2017: 70 · 2016: 63 · 2015: 73 · 2014: 91 · 2013: 93 · 2012: 81
- FWCI
- 16.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Molecular and Cellular Biology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (P30 DK-34928, P30DK034928)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- microRNA, hypoxia, hypoxia-inducible factor, miR-210, miR-26, miR-107, tumor microenvironment, tumor formation, apoptosis, miRNA expression profiling, non-coding RNA regulation
- MeSH terms
- Breast Neoplasms, Colonic Neoplasms, Female, Humans, Luciferases, Plasmids, Transfection, Cell Hypoxia, Apoptosis, Genes, Reporter, HT29 Cells, Reverse Transcriptase Polymerase Chain Reaction, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, MicroRNAs, HCT116 Cells, Cell Line, Tumor, Chromatin Immunoprecipitation
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.
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