TruaceTracing the truth around AIWednesday, August 5, 2026
TRV-2026-0650Certified recordPeer-reviewed

Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer

Colorectal cancer (CRC) exhibits substantial metabolic heterogeneity. This study developed a robust prognostic signature integrating ferroptosis- and lipid metabolism-related genes to investigate the role of CRY2 in CRC progression. Transcriptomic and clinical data from the TCGA-COAD and GSE39582 cohorts were analyzed. Weighted gene co-expression network analysis (WGCNA) was performed to identify disease-associated gene modules. A machine learning framework was subsequently applied to construct and optimize the…

Health · G Space — documented gain · certified 2026-08-05 · v1 · article view · machine-readable

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A StepCox plus Random Survival Forest framework built a ferroptosis- and lipid metabolism-related RiskScore that independently predicted overall survival in TCGA-COAD and GSE39582 colorectal cancer cohorts, and identified CRY2 as a regulator whose knockdown inhibited proliferation and suppressed xenograft growth.

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Truvace Impact Record TRV-2026-0650, v1: “Prognostic risk modeling based on integrated multi-omics analysis identifies CRY2 as a key regulator in tumor immunity and patient survival in colorectal cancer.” Truvace, 2026-08-05. /record/TRV-2026-0650 (accessed at citation time). sha256 ac7bdaab415cc941

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