Evidence map›Paper›PMID 41276825›Full record

ReviewWorld journal of surgical oncology2025

Consensus Molecular Subtypes (CMS) Classification: a progress towards Subtype-Driven treatments in colorectal cancer.

Akshay Kantha, Doutrina Das, Esha Pai, Tarun Kumar, Manoj Pandey

Abstract readReview
In one paragraph

Review in World journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. From mono- to multi-cellularFrontiers in cell and developmental biology · 2026
    Review
  9. Article
  10. Article
  11. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Akshay Kantha *Department of Surgical Oncology, Institute of medical sciences, Banaras Hindu University, Varanasi, 221005, India.
Doutrina Das *Department of Surgical Oncology, Institute of medical sciences, Banaras Hindu University, Varanasi, 221005, India.
Esha PaiSurgical Oncology, EsTa Cancer Care, Naria, Varanasi, 221005, India.
Tarun KumarDepartment of Surgical Oncology, Institute of medical sciences, Banaras Hindu University, Varanasi, 221005, India.
Manoj PandeyDepartment of Surgical Oncology, Institute of medical sciences, Banaras Hindu University, Varanasi, 221005, India. mpandey66@bhu.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is heterogeneous with varied molecular profiles, clinical outcomes, and treatment responses. The Consensus Molecular Subtypes (CMS) classification categorizes CRC into four molecular subtypes (CMS1-4) based on gene expression profiles, aiming to improve prognosis prediction and guide personalized therapy.

objectiveThis paper reviews the CMS classification, its prognostic and predictive roles, methods of identification, association with polyps, immunotherapy applications, intratumoral heterogeneity (ITH), and barriers to clinical adoption.

methodsThe review synthesizes data from global studies on CMS, searches were conducted in PubMed, Scopus, and Web of Science, till June 2025, focusing on gene expression profiling, immunohistochemistry (IHC), and image-based CMS (imCMS) classifiers based on computational models (such deep learning). It examines CMS-specific treatment responses, immune profiles, and emerging strategies like single-cell RNA sequencing to address ITH.

resultsCMS classifies CRC into four subtypes: CMS1 (MSI-immune, ~ 15%), CMS2 (canonical, ~ 40%), CMS3 (metabolic, ~ 13%), and CMS4 (mesenchymal, ~ 22%). CMS is prognostic in adjuvant (e.g., PETACC-3, NSABP C-07) and metastatic settings (e.g., CALGB 80405, FIRE-3), with CMS2 linked to the best survival and CMS4 the worst outcomes. CMS1 responds to immunotherapy, CMS2/3 to bevacizumab, and CMS4 to irinotecan. Classification methods include gene expression profiling, immunohistochemistry (IHC), and image-based CMS (imCMS), but intratumoral heterogeneity (ITH) and technical barriers hinder clinical adoption. Solutions like single-cell sequencing and standardized assays are emerging.

conclusionCMS classification enhances CRC prognosis and treatment personalization but faces challenges due to ITH and technical limitations. Advances in IHC, imCMS, and targeted gene panels may facilitate broader clinical adoption, improving patient outcomes through tailored therapies.

Indexed as

Biomarkers, TumorColorectal NeoplasmsConsensus SequenceGene Expression ProfilingHumansImmunotherapyPrecision MedicinePrognosisBiomarkers, TumorGene expressionMolecular classificationMutationsPersonalized therapyTargeted therapy

Identifiers

PMID41276825
PMCPMC12763931

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.