ProgModule: A novel computational framework to identify mutation driver modules for predicting cancer prognosis and immunotherapy response
Altogether, ProgModule emerges as a powerful tool for identifying mutation driver modules as prognostic and immunotherapy response biomarkers, and genes within these modules may be used as potential therapeutic targets for cancer, offering new insights into precision oncology.
Authors
- Yalan He
- Xilong Zhao (ORCID: https://orcid.org/0000-0002-5182-9180)
- Junwei Han (ORCID: https://orcid.org/0000-0002-3276-0819)
- Yinchun Su (ORCID: https://orcid.org/0000-0002-7503-3128)
- Bingyue Pan
- Xiangmei Li (ORCID: https://orcid.org/0000-0002-3871-8566)
- Siyuan Li (ORCID: https://orcid.org/0000-0003-1654-3571)
- Jiashuo Wu (ORCID: https://orcid.org/0009-0002-8126-1984)
- Jiyin Lai
Institutions
- Harbin Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1186/s12967-025-06497-0
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Heilongjiang Province