Multi-Algorithm-Integrated Tertiary Lymphoid Structure Gene Signature for Immune Landscape Characterization and Prognosis in Colorectal Cancer Patients
The multi-algorithm-integrated model demonstrated robust performance in predicting patient prognosis and immunotherapy response, offering a novel perspective for assessing immunotherapy efficacy. CCL2 may function as a TLS modulator and holds potential as a therapeutic target in CRC.
Authors
- Guanchao Sun (ORCID: https://orcid.org/0009-0009-8439-2884)
- Dingchang Li (ORCID: https://orcid.org/0000-0001-8602-2961)
- Yingjie Zhao (ORCID: https://orcid.org/0000-0001-8784-9645)
- Guanglong Dong (ORCID: https://orcid.org/0000-0002-5545-1912)
- Peng Chen (ORCID: https://orcid.org/0000-0002-3390-508X)
- Wen Zhao (ORCID: https://orcid.org/0000-0002-5145-4411)
- Yue Zhang (ORCID: https://orcid.org/0000-0002-7786-0231)
- Hao Liu (ORCID: https://orcid.org/0009-0004-2137-0892)
- Xianqiang Liu (ORCID: https://orcid.org/0009-0006-7094-2177)
Institutions
- Nankai University (CN)
- Chinese PLA General Hospital (CN)
Publication Details
- Journal
- Biomedicines
- Published
- 2024-11-19
- DOI
- https://doi.org/10.3390/biomedicines12112644
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.28