Metabolic state uncovers prognosis insights of esophageal squamous cell carcinoma patients
Overall, we redefined robust ESCC prognostic subtypes and identified key MPI pathways that link metabolism to tumor heterogeneity. This study provides the first comprehensive mapping of the ESCC metabolic microenvironment, offering novel insights into ESCC metabolic diversity and its clinical applications.
Authors
- Tingze Feng
- Hai‐long Piao (ORCID: https://orcid.org/0000-0001-7451-0386)
- Pengfei Li (ORCID: https://orcid.org/0000-0003-1334-8770)
- Di Chen (ORCID: https://orcid.org/0000-0002-2181-4703)
- Siyi Li (ORCID: https://orcid.org/0000-0001-5461-492X)
- Jing Lv (ORCID: https://orcid.org/0000-0003-2801-743X)
- Tian Xia (ORCID: https://orcid.org/0000-0003-2985-6489)
- Yegang Ma (ORCID: https://orcid.org/0000-0002-6973-6177)
- Hoy-Jong Lee
- Yuhan Wang (ORCID: https://orcid.org/0000-0001-6451-1166)
Institutions
- Dalian Institute of Chemical Physics (CN)
- Chinese Academy of Sciences (CN)
- Liaoning Cancer Hospital & Institute (CN)
- Sungkyunkwan University (KR)
- China Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1186/s12967-025-06087-0
- Citations
- 2
- Primary Topic
- Cancer, Hypoxia, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- Innovative Research Group Project of the National Natural Science Foundation of China
- Liaoning Revitalization Talents Program