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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
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| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-03355-9 |
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