Investigating combined hypoxia and stemness indices for prognostic transcripts in gastric cancer: Machine learning and network analysis approaches
This study introduces a novel hypoxia-stemness-based prognostic decision tree for GC. The identified genes show promise as prognostic biomarkers, warranting further clinical validation.
Authors
- Maryam Lotfi Shahreza (ORCID: https://orcid.org/0000-0002-0142-4222)
- Parvaneh Nikpour (ORCID: https://orcid.org/0000-0002-1784-6040)
- Sharareh Mahmoudian-Hamedani (ORCID: https://orcid.org/0009-0005-1094-7884)
Institutions
- Isfahan University of Medical Sciences (IR)
- University of Isfahan (IR)
- University of Gothenburg (SE)
Publication Details
- Journal
- Biochemistry and Biophysics Reports
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1016/j.bbrep.2024.101897
- Primary Topic
- Cancer, Hypoxia, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Isfahan University of Medical Sciences