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炎症和代谢途径的生物标志物模式与结直肠癌风险相关:来自欧洲癌症与营养前瞻性调查(EPIC)的结果。

Biomarker patterns of inflammatory and metabolic pathways are associated with risk of colorectal cancer: results from the European Prospective Investigation into Cancer and Nutrition (EPIC).

机构信息

Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert Allee 114-116, 14558, Nuthetal, Germany,

出版信息

Eur J Epidemiol. 2014 Apr;29(4):261-75. doi: 10.1007/s10654-014-9901-8. Epub 2014 May 4.

Abstract

A number of biomarkers of inflammatory and metabolic pathways are individually related to higher risk of colorectal cancer (CRC); however, the association between biomarker patterns and CRC incidence has not been previously evaluated. Our study investigates the association of biomarker patterns with CRC in a prospective nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC). During median follow-up time of 7.0 (3.7-9.4) years, 1,260 incident CRC cases occurred and were matched to 1,260 controls using risk-set sampling. Pre-diagnostic measurements of C-peptide, glycated hemoglobin, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), C-reactive protein (CRP), reactive oxygen metabolites (ROM), insulin-like growth factor 1, adiponectin, leptin and soluble leptin receptor (sOB-R) were used to derive biomarker patterns from principal component analysis (PCA). The relation with CRC incidence was assessed using conditional logistic regression models. We identified four biomarker patterns 'HDL-C/Adiponectin fractions', 'ROM/CRP', 'TG/C-peptide' and 'leptin/sOB-R' to explain 60 % of the overall biomarker variance. In multivariable-adjusted logistic regression, the 'HDL-C/Adiponectin fractions', 'ROM/CRP' and 'leptin/sOB-R' patterns were associated with CRC risk [for the highest quartile vs the lowest, incidence rate ratio (IRR) = 0.69, 95 % CI 0.51-0.93, P-trend = 0.01; IRR = 1.70, 95 % CI 1.30-2.23, P-trend = 0.002; and IRR = 0.79, 95 % CI 0.58-1.07; P-trend = 0.05, respectively]. In contrast, the 'TG/C-peptide' pattern was not associated with CRC risk (IRR = 0.75, 95 % CI 0.56-1.00, P-trend = 0.24). After cases within the first 2 follow-up years were excluded, the 'ROM/CRP' pattern was no longer associated with CRC risk, suggesting potential influence of preclinical disease on these associations. By application of PCA, the study identified 'HDL-C/Adiponectin fractions', 'ROM/CRP' and 'leptin/sOB-R' as biomarker patterns representing potentially important pathways for CRC development.

摘要

一些炎症和代谢途径的生物标志物单独与结直肠癌(CRC)的风险增加有关;然而,生物标志物模式与 CRC 发病率之间的关联尚未得到评估。我们的研究在欧洲癌症前瞻性调查和营养(EPIC)的一项前瞻性嵌套病例对照研究中,调查了生物标志物模式与 CRC 之间的关系。在中位数为 7.0 年(3.7-9.4 年)的随访期间,发生了 1260 例 CRC 病例,并使用风险集抽样与 1260 名对照相匹配。使用主成分分析(PCA)从 C 肽、糖化血红蛋白、甘油三酯(TG)、高密度脂蛋白胆固醇(HDL-C)、C 反应蛋白(CRP)、活性氧代谢物(ROM)、胰岛素样生长因子 1、脂联素、瘦素和可溶性瘦素受体(sOB-R)的预诊断测量来得出生物标志物模式。使用条件逻辑回归模型评估与 CRC 发病率的关系。我们确定了四个生物标志物模式“HDL-C/脂联素分数”、“ROM/CRP”、“TG/C 肽”和“瘦素/sOB-R”,可解释总生物标志物方差的 60%。在多变量调整的逻辑回归中,“HDL-C/脂联素分数”、“ROM/CRP”和“瘦素/sOB-R”模式与 CRC 风险相关[对于最高四分位与最低四分位,发病率比(IRR)=0.69,95%CI 0.51-0.93,P-trend=0.01;IRR=1.70,95%CI 1.30-2.23,P-trend=0.002;IRR=0.79,95%CI 0.58-1.07,P-trend=0.05]。相比之下,“TG/C 肽”模式与 CRC 风险无关(IRR=0.75,95%CI 0.56-1.00,P-trend=0.24)。排除前 2 年随访期间的病例后,“ROM/CRP”模式与 CRC 风险不再相关,表明临床前疾病对这些关联可能有影响。通过应用 PCA,该研究确定了“HDL-C/脂联素分数”、“ROM/CRP”和“瘦素/sOB-R”作为代表 CRC 发展潜在重要途径的生物标志物模式。

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