July 28, 2025

A robust classifier for the intrinsic consensus molecular subtypes in colorectal cancer.

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Discussion

A single-sample classifier improved classification accuracy of iCMS subtypes in colorectal cancer, highlighting its prognostic value.

MAIN FINDING: The new single-sample classifier achieved an accuracy of 86-88% in classifying iCMS subtypes in colorectal cancer.
KEY EVIDENCE: The SSC outperformed the nearest template predictor which had an accuracy of 75.4% without batch correction.
APPROACH: The method involved non-parametric correlation with gene expression centroids derived from public datasets.
SIGNIFICANCE: This classifier's robustness supports its use in clinical trials, enhancing prognostic assessments for colorectal cancer patients.

Tsantoulis et al. (2025) studied this question.

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