Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machine learning study

Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machine learning study

Abstract Background Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at improving the prognosis of cancer, and programmed cell death (PCD) is increasingly recognized as a potential target in cancer therapy and prognosis. However, a PCD-based predictive model for serou...

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Main Authors: Lele Ye, Chunhao Long, Binbing Xu, Xuyang Yao, Jiaye Yu, Yunhui Luo, Yuan Xu, Zhuofeng Jiang, Zekai Nian, Yawen Zheng, Yaoyao Cai, Xiangyang Xue, Gangqiang Guo
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Molecular Medicine
Subjects:
Serous ovarian carcinoma
Predictive model
Programmed cell death
Cell death index
Predictive preventive and personalized medicine (PPPM/3PM)
Online Access:https://doi.org/10.1186/s10020-024-01036-x
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https://doi.org/10.1186/s10020-024-01036-x

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