Differences in immune indicators among normal, high-risk, and esophageal cancer populations and development of a predictive model
This study demonstrates distinct and stable immune profiles across EC risk groups. The immune-based machine learning model effectively differentiates normal, high-risk, and cancer populations, offering a promising non-invasive tool for early risk assessment and screening of esophageal cancer.
Authors
- Yang Xu (ORCID: https://orcid.org/0000-0002-3989-1184)
- Jiamin Zhang (ORCID: https://orcid.org/0000-0001-5035-5254)
- Jin Xia
- Jianhua Li (ORCID: https://orcid.org/0000-0001-8226-594X)
- Yadi Liu
- Suli Wang
- Zishan Yang
- Jiali He
- Feng Ren
- Shaoju Qian
- Kaiwen Wang
- Zhili Chu
- Chenchen Lv
Institutions
- First Affiliated Hospital of Xinxiang Medical University (CN)
- Anyang Tumor Hospital (CN)
- Henan Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-01-30
- DOI
- https://doi.org/10.3389/fimmu.2026.1723700
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00