Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
EBioMedicine. 2023 Mar;89:104454. doi: 10.1016/j.ebiom.2023.104454. Epub 2023 Feb 3.
Polygenic risk score (PRS) has been demonstrated to be effective in identifying individuals at high risk of developing cancer, but its prognostic value remains unclear.
We constructed site-specific PRSs by aggregating the risk effect of independent variants derived from previous genome-wide association studies (GWASs) across 17 cancer types. The Cox proportional hazards model was used to evaluate the association of each PRS with cancer survival, leveraging data from two prospective European cohorts, namely the UK Biobank involving 19,628 incident cases and The Cancer Genome Atlas involving 7079 prevalent cases. The combined PRS (CPRS), determined by merging site-specific PRSs, was further used to assess the prognostic effect of PRS on overall cancer in a sex-specific manner.
We discovered that the cancer risk-related PRS was associated with neither overall survival (OS) nor cancer-specific survival (CSS) of each site-specific cancer with an underlying false discovery rate (FDR) P > 0.05, as evidenced by consistent findings from the two cohorts. Furthermore, the fixed-effect meta-analysis of the two cohorts provided no evidence to support for an association between CPRS and overall cancer survival in both males [OS: hazard ratio (HR) = 1.00, P = 0.760; CSS: HR = 1.01, P = 0.447] and females (OS: HR = 0.97, P = 0.067; CSS: HR = 0.96, P = 0.054). Similar results were observed across multiple sensitivity analyses.
Our findings indicate that the risk-specific PRS might not be a clinically useful tool in cancer prognosis prediction and further studies focusing on the development of polygenic prognostic score are warranted.
This project was funded by the National Natural Science Foundation of China (82173601 and 82073631), and Priority Academic Program Development of Jiangsu Higher Education Institutions (Public Health and Preventive Medicine).
多基因风险评分 (PRS) 已被证明可有效识别癌症高危个体,但其预后价值仍不清楚。
我们通过汇总来自 17 种癌症的全基因组关联研究 (GWAS) 中独立变异的风险效应,构建了特定部位的 PRS。Cox 比例风险模型用于评估每个 PRS 与癌症生存的关联,利用来自两个前瞻性欧洲队列的数据,即英国生物银行(涉及 19628 例新发病例)和癌症基因组图谱(涉及 7079 例现患病例)。通过合并特定部位的 PRS 确定的综合 PRS (CPRS),进一步用于评估 PRS 对整体癌症的预后影响,具体方式为按性别进行。
我们发现,癌症风险相关的 PRS 与两个队列中每个特定部位癌症的总生存期 (OS) 和癌症特异性生存期 (CSS) 均无关联(经底层假发现率 (FDR) P > 0.05 校正)。此外,两个队列的固定效应荟萃分析也没有提供证据支持 CPRS 与男性 [OS:风险比 (HR) = 1.00,P = 0.760;CSS:HR = 1.01,P = 0.447] 和女性 [OS:HR = 0.97,P = 0.067;CSS:HR = 0.96,P = 0.054] 整体癌症生存之间存在关联。在多次敏感性分析中也观察到了类似的结果。
我们的研究结果表明,特定风险的 PRS 可能不是癌症预后预测的有用工具,需要进一步研究以开发多基因预后评分。
本项目由国家自然科学基金 (82173601 和 82073631) 和江苏高校优势学科建设工程资助。