T-cell exhaustion indicator characterizes the tumor microenvironment landscape and predicts colon adenocarcinoma prognosis via integrating single-cell RNA-seq and bulk RNA-sequencing
We proposed a non-invasive prediction method based on TEX-related genes, which effectively predicts survival outcomes and therapeutic responses in COAD patients. Additionally, FAT4 was found to regulate proliferative and apoptotic phenotypes in COAD.
Authors
- Ning Hu (ORCID: https://orcid.org/0000-0003-0258-9712)
- Yu Zheng (ORCID: https://orcid.org/0009-0002-9536-5303)
- Wenya Zhu (ORCID: https://orcid.org/0000-0002-1574-8893)
- Shaofan Qiu
- Ren Niu (ORCID: https://orcid.org/0009-0004-2606-8422)
- Haifeng Sun (ORCID: https://orcid.org/0000-0003-1779-2158)
- S. Ma (ORCID: https://orcid.org/0000-0001-7468-9849)
Institutions
- Hebei Medical University (CN)
- Chinese PLA General Hospital (CN)
- Second Hospital of Hebei Medical University (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2026-01-14
- DOI
- https://doi.org/10.1186/s12885-025-15535-5
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00