Colorectal Cancer Risk Loci: Prognostic Factors for Clinical Outcomes? A Systematic Review and Meta-Analysis.

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Tác giả: Xuechen Chen, Jie Jiang, Sha Li, Chengmi Wu, Qian Wu, Shu Xu, Jingyi Zhou

Ngôn ngữ: eng

Ký hiệu phân loại: 368.14 *War risk insurance

Thông tin xuất bản: United States : Cancer reports (Hoboken, N.J.) , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 749552

BACKGROUND: Several single nucleotide polymorphisms (SNPs) identified through genome-wide association studies (GWASs) on colorectal cancer (CRC) incidence are also shown as promising predictors of clinical outcomes in CRC patients. These genetic variants might help inform precision prognostic strategies by predicting disease progression, treatment response, and overall survival, thereby guiding more personalized treatment plans. However, conflicting evidence exists regarding their clinical relevance. AIM: A systematic review and meta-analysis was performed to assess the potential of GWAS-identified SNPs in predicting CRC outcomes. METHODS AND RESULTS: We conducted a comprehensive search of PubMed, Web of Science, Embase, and Cochrane databases up to 18 October 2024 for prospective studies that investigated the associations of CRC-related SNPs and polygenic risk scores (PRSs) built based on multiple SNPs with clinical outcomes. Quality of the included studies was assessed using the Newcastle-Ottawa Scale, and the heterogeneity was assessed by I CONCLUSIONS: Individual genetic variants and PRSs are predictive of CRC survival, and might serve as potential factors for risk stratification, which could help develop personalized treatment and surveillance strategies for CRC patients. However, the potential for false positives and the significant heterogeneity among studies that cannot be fully addressed in the current analysis due to limited data require a cautious interpretation of these findings. Large-scale studies are warranted to further explore and validate GWAS-identified SNPs for promising prognostic biomarkers in CRC patients while accounting for factors such as ethnic differences and tumor subtypes.
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