Network Perturbation Analysis Identifies Three Molecular Subtypes With Distinct Clinical Outcomes and Therapeutic Vulnerabilities in Endometrial Cancer
Year: 2025
Type: article
Abstract: We performed network perturbation analysis on transcriptomic data from endometrial cancer patients across multiple cohorts and identified three molecular subtypes with distinct clinical outcomes. The most aggressive subtype, C1, exhibits comprehensive molecular and immunological alterations, including dysregulated hormone signaling, immune exclusion, and specific pathway activation. Multi-dimensional profiling integrating transcriptional, immunological, mutational, and pharmacological analyses revealed subtype-specific therapeutic vulnerabilities, highlighting the potential for targeted intervention in high-risk endometrial cancer patients.
Source: iMetaMed
DOI: 10.1002/imm3.70019
Authors: Jie Liu, Yuxuan Song, Yiqin Wang, Shaolei Li, YuanYuan Ma, Meng Zhang, Keran Sun, Yibo He, Hengrui Liu, Hao Chi, Jingyuan Ning
Institutions: Peking University People's Hospital, Peking University Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences, Hebei Medical University, Zhejiang Chinese Medical University, Zhejiang Provincial Hospital of TCM, University of Cambridge, University of Hawaiʻi at Mānoa, Suzhou Zelgen Biopharmaceuticals Co., Ltd. (China)
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4417352406