Machine learning based obesity and aging related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma

Machine learning based obesity and aging related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma

Abstract Background Stomach adenocarcinoma (STAD) is one of most common cancers with high invasiveness and poor prognosis. Obesity and aging are correlated with higher risk for cancer development and worse prognosis in certain types of malignancies. Methods An integrative approach incorporating 10 m...

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Bibliographic Details
Main Authors: Yongheng Chen, Xiaoxia Yu, Wencan Xu, Anqi Huang, Zhengbing Li
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Oncology
Subjects:
Stomach adenocarcinoma
Aging
Obesity
Machine learning
Immunotherapy
Online Access:https://doi.org/10.1007/s12672-025-03054-5
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