Prognostic Risk Modeling Based on Integrated Multi-Omics Analysis Identifies CRY2 as a Key Regulator in Tumor Immunity and Patient Survival in Colorectal Cancer
收藏Figshare2026-02-12 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Prognostic_Risk_Modeling_Based_on_Integrated_Multi-Omics_Analysis_Identifies_CRY2_as_a_Key_Regulator_in_Tumor_Immunity_and_Patient_Survival_in_Colorectal_Cancer_/31324018
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Background: Colorectal cancer (CRC) prognosis is driven by metabolic heterogeneity. This study integrates ferroptosis and lipid metabolism to develop a robust prognostic signature and evaluates the role of CRY2 in CRC progression.Methods: Using TCGA-COAD and GSE39582 cohorts, we identified gene modules via WGCNA. A machine learning framework identified StepCox[forward] + Random Survival Forest as the optimal model. The immune landscape was assessed using CIBERSORT and TIDE. CRY2 was validated through siRNA knockdown, functional assays, and a murine xenograft model.Results: The resulting RiskScore was an independent prognostic factor (HR > 1.1, P
创建时间：
2026-02-12
