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August 11, 2025Discover OncologyOpen Access

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

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Authors

XSXin SongYDYan DouXSXiao-Yong Shen

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Overview

Predictive model categorizes colon cancer patients by survival risk, suggesting new insights into immune cells and tumor characteristics.

Key Points

  • The G2M prognostic model effectively stratifies colon cancer patients into high- and low-risk groups, enhancing survival predictions.
  • Initial analysis identified 15 common prognostic genes, narrowing down to 9 key genes through LASSO modeling, leading to a reliable prediction model.
  • Multi-omics analysis highlighted the relationship between gene expression, protein interactions, and immune cell infiltration in colon cancer.
  • Developing a Nomogram incorporating clinical factors allows for personalized survival forecasting over 1, 3, and 5 years.

Cite This Study

Song et al. (2025) studied this question.

synapsesocial.com/papers/68c23595b210217d64770dfchttps://doi.org/10.1007/s12672-025-03355-9
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Also Consider

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  1. 1Development of a prognostic risk model for colorectal cancer based on microsatellite stability-associated genes2025
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  4. 4A Risk Score Model Based on Drug-Sensitivity-Related Genes Has the Potential to Predict Oral Squamous Cell Carcinoma Prognosis.2025
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