Literature DB >> 31984309

Characterization of Hypoxia-associated Molecular Features to Aid Hypoxia-Targeted Therapy.

Youqiong Ye1, Qingsong Hu2, Hu Chen3,4, Ke Liang2, Yuan Yuan3, Yu Xiang1, Hang Ruan1, Zhao Zhang1, Anren Song1, Huiwen Zhang1, Lingxiang Liu5, Lixia Diao3, Yanyan Lou6, Bingying Zhou7, Li Wang7, Shengtao Zhou8, Jianjun Gao9, Eric Jonasch9, Steven H Lin10, Yang Xia1,11, Chunru Lin2,11, Liuqing Yang12,13, Gordon B Mills14,15, Han Liang16,17,18,19, Leng Han20,21,22.   

Abstract

Tumor hypoxia is a major contributor to resistance to anti-cancer therapies. Given that the results of hypoxia-targeted therapy trials have been disappointing, a more personalized approach may be needed. Here we characterize multi-OMIC molecular features associated with tumor hypoxia and identify molecular alterations that correlate with both drug-resistant and drug-sensitive responses to anti-cancer drugs. Based on a well-established hypoxia gene expression signature, we classify about 10,000 tumor samples into hypoxia score-high and score-low groups across different cancer types from The Cancer Genome Atlas and demonstrate their prognostic associations. We then identify various types of molecular features associated with hypoxia status that correlate with drug resistance but, in some cases, also with drug sensitivity, contrasting the conventional view that hypoxia confers drug resistance. We further show that 110 out of 121 (90.9%) clinically actionable genes can be affected by hypoxia status and experimentally validate the predicted effects of hypoxia on the response to several drugs in cultured cells. Our study provides a comprehensive molecular-level understanding of tumor hypoxia and may have practical implications for clinical cancer therapy.

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Year:  2019        PMID: 31984309      PMCID: PMC6980239          DOI: 10.1038/s42255-019-0045-8

Source DB:  PubMed          Journal:  Nat Metab        ISSN: 2522-5812


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