Transcriptomic profiling and bioinformatics-driven statistical prioritization of CRC biomarkers: A step toward precision oncology
Our study establishes a reproducible, integrative bioinformatics and statistical framework for the systematic identification of clinically actionable biomarkers in CRC. The five hub genes prioritized (CDH3, CXCL1, MMP1, MMP3, and TGFBI) demonstrated consistent diagnostic and prognostic value, offering a solid basis for the development of non-invasive molecular diagnostics and contributing to precision oncology.
Authors
- Reem Saleh (ORCID: https://orcid.org/0000-0002-8292-1895)
- S. Udhaya Kumar (ORCID: https://orcid.org/0000-0002-6639-3746)
- Ala‐Eddin Al Moustafa (ORCID: https://orcid.org/0000-0003-4452-3439)
- Heba Almaghrbi
- Hatem Zayed (ORCID: https://orcid.org/0000-0001-8838-6638)
- Alsamman M. Alsamman (ORCID: https://orcid.org/0000-0002-7765-5035)
- Reham Mansour
- Anju Surendranath
Institutions
- Baylor College of Medicine (US)
- Oklahoma Medical Research Foundation (US)
- Qatar University (QA)
Publication Details
- Journal
- Gene
- Published
- 2025-05-24
- DOI
- https://doi.org/10.1016/j.gene.2025.149594
- Citations
- 2
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- Qatar University
- Qatar National Library