A Machine Learning–Based Scoring System to Identify High Immunoactivity Microsatellite Stability Tumors by Quantifying Similarity to Microsatellite Instability-High Tumors in Colorectal Cancers: Development and Quantitative Study
Some patients with MSS CRC presented similar immune cell distributions with high immunoactivity compared to patients with MSI-H CRC. The MSI-H score serves as a metric to quantify the similarity of MSS CRCs to MSI-H CRCs and presents a promising avenue for more personalized and effective cancer immunotherapy treatment, offering a clinical reference for potential ICI targets in MSS CRCs.
Authors
- Weiqi Sheng
- Hong-Xin Wan Yan (ORCID: https://orcid.org/0009-0008-6474-3715)
- Junjie Peng (ORCID: https://orcid.org/0000-0002-0371-4960)
- Dan Huang (ORCID: https://orcid.org/0000-0002-0956-780X)
- Shaobo Mo (ORCID: https://orcid.org/0000-0002-7400-9636)
- Fang Wang (ORCID: https://orcid.org/0000-0001-9986-0948)
- Li Jiang (ORCID: https://orcid.org/0000-0002-2407-3672)
- Yaqi Li (ORCID: https://orcid.org/0000-0002-6829-8208)
Institutions
- Weifang Medical University (CN)
- Shanghai Medical College of Fudan University (CN)
- Shanghai Jiao Tong University (CN)
- Fudan University (CN)
- XinHua Hospital (CN)
- Fudan University Shanghai Cancer Center (CN)
- Weifang University (CN)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-08-26
- DOI
- https://doi.org/10.2196/66960
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00