Development and validation of G2M signature-based prognostic model for stratifying colon cancer prognosis

Abstract Background We aimed to develop a predictive model integrating G2M-related genes to enhance the prognostication of colon cancer. Methods Based on the data from TCGA-COAD and GEO (GSE39582, GSE17536, GSE17537), we applied Cox regression with LASSO to create a colon cancer prognostic model and...

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Bibliographic Details
Published in:Discover Oncology
Main Authors: Xin Song, Yan Dou, Xiaoyong Shen
Format: Article
Language:English
Published: Springer 2025-08-01
Subjects:
Colon cancer
G2M
Prognosis
TCGA
GEO
Online Access:https://doi.org/10.1007/s12672-025-03355-9

Internet

https://doi.org/10.1007/s12672-025-03355-9

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