Integrative machine learning identifies lactylation-related gene signature prognostic for chemotherapeutic efficacy in colorectal carcinoma
In summary, our findings demonstrate that machine learning-driven analysis of lactylation biomarkers represents a promising approach for advancing personalized therapy and optimizing clinical management in CRC.
Authors
- Fang Peng (ORCID: https://orcid.org/0000-0002-3826-5632)
- Yanjun Lu (ORCID: https://orcid.org/0000-0002-9518-9584)
- Qinwen Ba
- Hui Hu (ORCID: https://orcid.org/0000-0002-9208-1041)
- Weihua Hu (ORCID: https://orcid.org/0000-0003-4813-0069)
Institutions
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-12-07
- DOI
- https://doi.org/10.1007/s12672-025-04233-0
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 0.00