Machine learning based intratumor heterogeneity signature for predicting prognosis and immunotherapy benefit in stomach adenocarcinoma

Machine learning based intratumor heterogeneity signature for predicting prognosis and immunotherapy benefit in stomach adenocarcinoma

Abstract Stomach adenocarcinoma (STAD) is a prevalent malignancy that is highly aggressive and heterogeneous. Intratumor heterogeneity (ITH) showed strong link to tumor progression and metastasis. High ITH may promote tumor evolution. An ITH-related signature (IRS) was created using as integrative t...

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Bibliographic Details
Main Authors: Hongcai Chen, Zhiwei Zheng, Cui Yang, Tingting Tan, Yi Jiang, Wenwu Xue
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
Series:Scientific Reports
Subjects:
Stomach adenocarcinoma
Intratumor heterogeneity
Prognostic signature
Machine learning
Immunotherapy
Online Access:https://doi.org/10.1038/s41598-024-74907-2

Internet

https://doi.org/10.1038/s41598-024-74907-2

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