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Characterization of Hypoxia-associated Molecular Features to Aid Hypoxia-Targeted Therapy
Youqiong Ye1, Qingsong Hu2, Hu Chen3,4
1Department of Biochemistry and Molecular Biology, The University of Texas Health Science Center at Houston-McGovern Medical School, Houston, TX, USA.
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.
Insights
Tumor hypoxia (low oxygen) impacts cancer therapy. This study reveals molecular features linked to hypoxia, offering insights into drug resistance and sensitivity for personalized cancer treatment.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Tumor hypoxia is a known factor in anti-cancer therapy resistance.
- Previous hypoxia-targeted therapies have yielded disappointing clinical outcomes.
- A personalized approach is needed to address the complexities of tumor hypoxia.
Purpose of the Study:
- To characterize multi-omic molecular features associated with tumor hypoxia.
- To identify molecular alterations correlating with drug-resistant and drug-sensitive responses.
- To explore the prognostic associations of hypoxia across diverse cancer types.
Main Methods:
- Utilized a hypoxia gene expression signature to classify ~10,000 tumor samples from The Cancer Genome Atlas (TCGA).
- Analyzed multi-omic data to identify molecular features linked to hypoxia status.
- Experimentally validated predicted effects of hypoxia on drug response in cell cultures.
Main Results:
- Classified tumors into hypoxia score-high and score-low groups, demonstrating prognostic associations.
- Identified molecular features correlating with both drug resistance and, unexpectedly, drug sensitivity.
- Found that hypoxia status affects 90.9% of clinically actionable genes.
Conclusions:
- Provides a comprehensive molecular understanding of tumor hypoxia.
- Challenges the conventional view of hypoxia solely conferring drug resistance.
- Suggests potential for personalized clinical cancer therapy strategies based on hypoxia-associated molecular profiles.
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