Machine learning-based identification of an immunotherapy-related signature to enhance outcomes and immunotherapy responses in melanoma
The ITRGM signature is a stable and robust predictor for stratifying melanoma patients into 'immune-hot' and 'immune-cold' tumors, enhancing prognosis and response to immunotherapy.
Authors
- Youngnam N. Jin (ORCID: https://orcid.org/0009-0007-2632-3237)
- Yanxun V. Yu (ORCID: https://orcid.org/0000-0001-6617-0166)
- Jie Liu (ORCID: https://orcid.org/0000-0003-3975-7978)
- Zaidong Deng
Institutions
- Wuhan University (CN)
- Zhongnan Hospital of Wuhan University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2024-09-17
- DOI
- https://doi.org/10.3389/fimmu.2024.1451103
- Citations
- 9
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 2.54
Funders
- National Natural Science Foundation of China