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首页> 外文期刊>European journal of epidemiology >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)
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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)

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

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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 multi-variable-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.
机译:炎症和代谢途径的许多生物标志物分别与大肠癌(CRC)的较高风险有关。然而,之前尚未评估生物标志物模式与CRC发生率之间的关联。我们的研究在欧洲癌症与营养前瞻性调查(EPIC)中的前瞻性嵌套病例对照研究中调查了生物标志物模式与CRC的关联。在7.0(3.7-9.4)年的中位随访时间内,发生了1,260例CRC病例,并使用风险设定抽样将其与1,260例对照进行了匹配。 C肽,糖化血红蛋白,甘油三酸酯(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的诊断前测量使用脂联素,瘦素和可溶性瘦素受体(sOB-R)从主成分分析(PCA)得出生物标志物模式。使用条件逻辑回归模型评估与CRC发生率的关系。我们鉴定了四种生物标志物模式“ HDL-C /脂联素组分”,“ ROM / CRP”,“ TG / C肽”和“瘦蛋白/ sOB-R”,以解释整体生物标志物变化的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[最高四分位数与最低四分位数的发生率比(IRR)= 0.69,95%CI 0.51-0.93,P-趋势= 0.01;内部收益率= 1.70,95%CI 1.30-2.23,P趋势= 0.002; IRR = 0.79,95%CI 0.58-1.07; P趋势= 0.05]。相反,“ TG / C肽”模式与CRC风险无关(IRR = 0.75,95%CI 0.56-1.00,P-趋势= 0.24)。在排除了前2个随访年内的病例后,“ ROM / CRP”模式不再与CRC风险相关,表明临床前疾病对这些相关性的潜在影响。通过应用PCA,该研究确定了“ HDL-C /脂联素组分”,“ ROM / CRP”和“瘦素/ sOB-R”作为生物标志物模式,代表了CRC发展的潜在重要途径。

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