Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in cholangiocarcinoma

Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in cholangiocarcinoma

Background: Cholangiocarcinoma is a kind of epithelial cell malignancy with high mortality. Intratumor heterogeneity (ITH) is involved in tumor progression, aggressiveness, treatment resistance, and disease recurrence. Methods: Integrative machine learning procedure including 10 methods (random surv...

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Bibliographic Details
Main Authors: Xu Chen, Bo Sun, Yu Chen, Yili Xiao, Yinghui Song, Sulai Liu, Chuang Peng
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Translational Oncology
Subjects:
Intratumor heterogeneity
Machine learning
Cholangiocarcinoma
Prognostic signature
Immunotherapy
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523324000305

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http://www.sciencedirect.com/science/article/pii/S1936523324000305

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