Integrating proteomics and machine learning reveals characteristics and risks of lymph node-independent distant metastasis in colorectal cancer
Our findings suggest that EMT-related signature LIMGs significantly affects lymph node-independent distant metastasis in CRC and effectively predicts non-LNM synchronous metastasis in stage I-II CRC patients. LIMG ITGA11 may promote early metastasis by enhancing migration and invasion. These offering insights into precise risk stratification and treatment for CRC patients.
Authors
- Baochi Ou (ORCID: https://orcid.org/0000-0001-8147-5232)
- Haobo Jin
- Yifei Pan
- Numan Shahid
- Qiongying Zhang
- Chenxiao Zheng (ORCID: https://orcid.org/0009-0008-6975-3314)
- Xu Dong Zhang (ORCID: https://orcid.org/0000-0001-9457-8003)
- Peng Li (ORCID: https://orcid.org/0000-0002-4684-4909)
- Yanyu Chen (ORCID: https://orcid.org/0000-0002-2275-6912)
- Yating Zheng (ORCID: https://orcid.org/0000-0003-1125-1596)
- Yanjun Hu (ORCID: https://orcid.org/0000-0002-0365-5788)
- H. Husain
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Hangzhou Hospital of Traditional Chinese Medicine (CN)
- King's College Hospital (GB)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-07-21
- DOI
- https://doi.org/10.3389/fimmu.2025.1622528
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36