Machine learning-based analysis identifies a 13-gene prognostic signature to improve the clinical outcomes of colorectal cancer
The 13-gene prognostic signature is expected to be a valuable tool for risk stratification, survival prediction, and treatment evaluation of patients with CRC.
Authors
- Yuanchun Zhao
- Xue Li (ORCID: https://orcid.org/0000-0002-0008-0405)
- Jiajia Chen (ORCID: https://orcid.org/0000-0003-3659-0658)
- Lan Huang (ORCID: https://orcid.org/0000-0001-9594-4722)
- Xin Qi (ORCID: https://orcid.org/0000-0001-9038-4287)
- Dexu Xun
Institutions
- Suzhou University of Science and Technology (CN)
Publication Details
- Journal
- Journal of Gastrointestinal Oncology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.21037/jgo-24-325
- Citations
- 6
- Primary Topic
- Genetic factors in colorectal cancer
- Type
- article
- Field-Weighted Citation Impact
- 2.55
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province