Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom.
Cancer. 2014 Oct 1;120(19):3049-57. doi: 10.1002/cncr.28799. Epub 2014 Jun 3.
Colorectal cancer is highly prevalent, and the vast majority of cases are thought to be sporadic, although few risk factors have been identified. Using metabolomics technology, our aim was to identify biomarkers prospectively associated with colorectal cancer.
This study included 254 incident colorectal cancers and 254 matched controls nested in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Serum samples were collected at baseline, and the mean length of follow-up was 8 years. Serum metabolites were analyzed by ultra-high performance liquid-phase chromatography with tandem mass spectrometry, and gas chromatography coupled with mass spectrometry. Conditional logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for metabolites above the limit of detection and present in at least 80% of participants.
A total of 676 serum metabolites were measured; of these, 447 were of known identity and 278 of these were present in >80% of individuals. Overall, there was no association between serum metabolites and colorectal cancer; however, some suggestive associations were observed between individual metabolites and colorectal cancer but none reached statistical significance after Bonferroni correction for multiple comparisons. For example, leucyl-leucine was inversely associated (OR comparing the 90th to the 10th percentile = 0.50; 95% CI = 0.32-0.80; P = .003). In sex-stratified analyses, serum glycochenodeoxycholate was positively associated with colorectal cancer among women (OR(90th vs.10th percentile) = 5.34; 95% CI = 2.09-13.68; P = .0001).
No overall associations were observed between serum metabolites and colorectal cancer, but serum glycochenodeoxycholate, a bile acid metabolite, was positively associated with colorectal cancer among women.
结直肠癌的发病率很高,虽然已经确定了少数危险因素,但绝大多数病例被认为是散发性的。本研究使用代谢组学技术,旨在前瞻性地识别与结直肠癌相关的生物标志物。
这项研究包括 254 例新发病例的结直肠癌患者和 254 例匹配的对照,这些患者嵌套在前列腺癌、肺癌、结直肠癌和卵巢癌筛查试验中。在基线时采集血清样本,平均随访时间为 8 年。采用超高效液相色谱-串联质谱法和气相色谱-质谱联用技术分析血清代谢物。采用条件逻辑回归计算代谢物在检测限以上且至少 80%的参与者存在的比值比(OR)和 95%置信区间(CI)。
共检测到 676 种血清代谢物;其中 447 种为已知物质,278 种存在于 80%以上的个体中。总体而言,血清代谢物与结直肠癌之间没有关联;然而,一些个体代谢物与结直肠癌之间存在一些提示性关联,但在经过 Bonferroni 多重比较校正后,均无统计学意义。例如,亮氨酸-亮氨酸呈负相关(第 90 百分位与第 10 百分位相比的 OR=0.50;95%CI=0.32-0.80;P=0.003)。在按性别分层的分析中,血清甘氨胆酸与女性结直肠癌呈正相关(第 90 百分位与第 10 百分位相比的 OR=5.34;95%CI=2.09-13.68;P=0.0001)。
未观察到血清代谢物与结直肠癌之间存在总体关联,但女性血清甘氨胆酸,一种胆酸代谢物,与结直肠癌呈正相关。