Background: Some genetic polymorphisms (SNPs) have been proposed as predictors for different colorectal cancer (CRC) outcomes. This work aims to assess their performance in our cohort and find new SNPs associated with them. Methods: A total of 833 CRC cases were analyzed for seven outcomes, including the use of chemotherapy, and stratified by tumor location and stage. The performance of 63 SNPs was assessed using a generalized linear model and area under the receiver operating characteristic curve, and local SNPs were detected using logistic regressions. Results: In total 26 of the SNPs showed an AUC > 0.6 and a significant association (p< 0.05) with one or more outcomes. However, clinical variables outperformed some of them, and the combination of genetic and clinical data showed better performance. In addition, 49 suggestive (p< 5 × 10−6) SNPs associated with one or more CRC outcomes were detected, and those SNPs were located at or near genes involved in biological mechanisms associated with CRC. Conclusions: Some SNPs with clinical data can be used in our population as predictors of some CRC outcomes, and the local SNPs detected in our study could be feasible markers that need further validation as predictors.
背景：已有研究提出某些基因多态性（SNPs）可作为结直肠癌（CRC）不同临床结局的预测因子。本研究旨在评估这些SNPs在本队列中的预测效能，并探索新的相关SNPs。方法：对833例CRC患者进行七项临床结局（包括化疗使用情况）分析，按肿瘤部位和分期分层。采用广义线性模型和受试者工作特征曲线下面积评估63个SNPs的预测效能，并通过逻辑回归检测局部SNPs。结果：共26个SNPs在一个或多个结局中表现出AUC > 0.6且具有显著关联性（p < 0.05）。然而临床变量的预测效能优于部分SNPs，而遗传与临床数据的联合模型显示出更优性能。此外，检测到49个与CRC结局相关的提示性SNPs（p < 5 × 10−6），这些SNPs位于或邻近与CRC生物学机制相关的基因区域。结论：部分SNPs结合临床数据可作为本人群特定CRC结局的预测指标，本研究发现的新SNPs可能成为有潜力的预测标志物，但需进一步验证。
Genetic Variants as Predictors of the Success of Colorectal Cancer Treatments
肿瘤(癌症)患者之家