Combined inflammation-related biomarkers and clinicopathological features for the prognosis of stage II/III colorectal cancer by machine learning
A nomogram combining SIS, NLR, and clinicopathological factors provides an effective, cost-efficient tool for predicting the prognosis of stage II/III colorectal cancer. Future studies will validate its long-term predictive performance in larger, multicenter cohorts.
Authors
- Ning Xu (ORCID: https://orcid.org/0000-0002-2912-6016)
- Luoyang Ding (ORCID: https://orcid.org/0000-0001-5180-6723)
- Cunang Jiang
- Lei Liang (ORCID: https://orcid.org/0000-0001-5421-9380)
- Xin Li (ORCID: https://orcid.org/0000-0002-2428-5704)
- Jianhua Zhang (ORCID: https://orcid.org/0000-0001-5412-9860)
- Jun Yang (ORCID: https://orcid.org/0000-0002-0080-0476)
Institutions
- Kunming Medical University (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
- Yancheng Third People's Hospital (CN)
- Xian Yang Central Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s12885-024-13331-1
- Citations
- 4
- Primary Topic
- Inflammatory Biomarkers in Disease Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.13
Funders
- National Natural Science Foundation of China
- Kunming Medical University