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A novel prognostic risk score model based on immune-related genes in patients with stage IV colorectal cancer
Author(s) -
Ke Xu,
Jie He,
Jie Zhang,
Tao Liu,
Fang Yang,
Tao Ren
Publication year - 2020
Publication title -
bioscience reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 77
eISSN - 1573-4935
pISSN - 0144-8463
DOI - 10.1042/bsr20201725
Subject(s) - proportional hazards model , oncology , medicine , univariate , multivariate statistics , colorectal cancer , stage (stratigraphy) , framingham risk score , t stage , multivariate analysis , cancer , biology , disease , computer science , machine learning , paleontology
The aims of the present study were to explore immune-related genes (IRGs) in stage IV colorectal cancer (CRC) and construct a prognostic risk score model to predict patient overall survival (OS), providing a reference for individualized clinical treatment.

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