Comprehensive characterization of the molecular feature of T cells in laryngeal cancer: evidence from integrated single-cell and bulk RNA sequencing data using multiple machine learning approaches
A TCRG classifier is an excellent resource for predicting a patient's prognosis, potentially guiding the preservation of laryngeal function, and identifying patients who may have a positive response to immunotherapy, which might have profound effects on therapeutic practice.
Authors
- Yangpeng Ou
- Yansheng Wu (ORCID: https://orcid.org/0000-0002-7234-9119)
- Yuansheng Duan (ORCID: https://orcid.org/0000-0002-1809-8021)
- Minghui Wei (ORCID: https://orcid.org/0000-0002-8311-4032)
- Genglong Liu (ORCID: https://orcid.org/0000-0002-9163-4396)
- Jie Cui (ORCID: https://orcid.org/0000-0003-4363-8672)
- Zhen Chen
- Xudong Wang (ORCID: https://orcid.org/0000-0002-2981-0854)
- Kai Yue (ORCID: https://orcid.org/0009-0002-5807-7644)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Third Affiliated Hospital of Guangzhou Medical University (CN)
- The First People's Hospital of Shunde (CN)
- National Clinical Research (US)
- Southern Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1080/07853890.2025.2477287
- Primary Topic
- Cancer-related molecular mechanisms research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Sanming Project of Medicine in Shenzhen