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Consensus Molecular Subtypes (CMS) Classification: a progress towards Subtype-Driven treatments in colorectal cancer
Akshay Kantha1, Doutrina Das1, Esha Pai2
1Department of Surgical Oncology, Institute of medical sciences, Banaras Hindu University, Varanasi, 221005, India.
World Journal of Surgical Oncology
|November 23, 2025
Summary
The Consensus Molecular Subtypes (CMS) classification aids in predicting colorectal cancer (CRC) prognosis and personalizing treatment. Advances in classification methods and addressing intratumoral heterogeneity (ITH) are key to improving patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Colorectal cancer (CRC) exhibits significant molecular heterogeneity, impacting clinical outcomes and treatment responses.
- The Consensus Molecular Subtypes (CMS) classification stratifies CRC into four subtypes (CMS1-4) based on gene expression, aiming for improved prognosis and personalized therapy.
Purpose of the Study:
- To review the CMS classification system for colorectal cancer.
- To explore its prognostic and predictive value, identification methods, and clinical adoption barriers.
- To discuss applications in immunotherapy and the impact of intratumoral heterogeneity (ITH).
Main Methods:
- A comprehensive literature review of global studies on CMS classification was conducted.
- Searches included PubMed, Scopus, and Web of Science up to June 2025.
- Methods reviewed encompass gene expression profiling, immunohistochemistry (IHC), and computational image-based CMS (imCMS) classifiers, including deep learning models.
Main Results:
- CRC is classified into CMS1 (MSI-immune, ~15%), CMS2 (canonical, ~40%), CMS3 (metabolic, ~13%), and CMS4 (mesenchymal, ~22%).
- CMS is prognostic across adjuvant and metastatic settings, with CMS2 associated with better survival and CMS4 with poorer outcomes.
- Specific CMS subtypes show differential responses to therapies: CMS1 to immunotherapy, CMS2/3 to bevacizumab, and CMS4 to irinotecan.
Conclusions:
- The CMS classification improves colorectal cancer prognosis and treatment personalization.
- Challenges such as intratumoral heterogeneity (ITH) and technical limitations hinder widespread clinical adoption.
- Emerging solutions including advanced IHC, imCMS, and targeted gene panels are expected to facilitate broader clinical use and enhance patient care.
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