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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0593Certified recordPeer-reviewed

Identification of Methionine Metabolism-Driven Heterogeneous Subtypes in Colorectal Cancer and Their Associated Immune Microenvironment

Aim Tumor heterogeneity, driven by metabolic reprogramming, challenges colorectal cancer (CRC) treatment. Methionine metabolism is crucial for tumor progression, but its role in CRC heterogeneity and the tumor immune microenvironment (TIME) requires systematic investigation. Methods A systematic evaluation of 101 combinations of machine learning and statistical algorithms was conducted within a 10-fold cross-validation framework to develop and validate the optimal model, termed the methionine metabolism-related…

Health · G Space — documented gain · certified 2026-07-30 · v1 · article view · machine-readable

Current reading — gain

A machine learning-derived methionine metabolism-related risk score stratified colorectal cancer patients into high- and low-risk groups with significantly different overall survival in training and external validation cohorts.

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The MMRS prognostic value was demonstrated retrospectively, but its utility as a predictive biomarker for treatment selection has not been prospectively validated.

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Truvace Impact Record TRV-2026-0593, v1: “Identification of Methionine Metabolism-Driven Heterogeneous Subtypes in Colorectal Cancer and Their Associated Immune Microenvironment.” Truvace, 2026-07-30. /record/TRV-2026-0593 (accessed at citation time). sha256 8a9a81e5669626ec…

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