4.6 Article

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)

期刊

EUROPEAN JOURNAL OF EPIDEMIOLOGY
卷 29, 期 4, 页码 261-275

出版社

SPRINGER
DOI: 10.1007/s10654-014-9901-8

关键词

Colorectal cancer; Biomarker patterns; Inflammatory and metabolic pathways; Principal component analysis; European Prospective Investigation into Cancer and Nutrition (EPIC)

资金

  1. World Cancer Research Fund International and Wereld Kanker Onderzoek Fonds (WCRF NL)
  2. European Commission (DG-SANCO)
  3. International Agency for Research on Cancer
  4. Danish Cancer Society (Denmark)
  5. Ligue contre le Cancer (France)
  6. Institut Gustave Roussy (France)
  7. Mutuelle Generale de l'Education Nationale (France)
  8. Institut National de la Sante et de la Recherche Medicale (INSERM) (France)
  9. Deutsche Krebshilfe (Germany)
  10. Deutsches Krebsforschungszentrum (Germany)
  11. Federal Ministry of Education and Research (Germany)
  12. Hellenic Health Foundation (Greece)
  13. Italian Association for Research on Cancer (AIRC) (Italy)
  14. National Research Council (Italy)
  15. Dutch Ministry of Public Health, Welfare and Sports (VWS) (The Netherlands)
  16. Netherlands Cancer Registry (NKR) (The Netherlands)
  17. LK Research Funds (The Netherlands)
  18. Dutch Prevention Funds (The Netherlands)
  19. Dutch ZON (Zorg Onderzoek Nederland) (The Netherlands)
  20. World Cancer Research Fund (WCRF) (The Netherlands)
  21. Statistics Netherlands (The Netherlands)
  22. Health Research Fund (FIS) (Spain)
  23. Regional Governments of Andalucia (Spain)
  24. Asturias (Spain)
  25. Basque Country (Spain)
  26. Murcia and Navarra (Spain)
  27. ISCIII RETIC (Spain) [RD06/0020]
  28. Swedish Cancer Society (Sweden)
  29. Swedish Scientific Council (Sweden)
  30. Regional Government of Skane and Vasterbotten (Sweden)
  31. Cancer Research UK (United Kingdom)
  32. Medical Research Council (United Kingdom)
  33. Stroke Association (United Kingdom)
  34. British Heart Foundation (United Kingdom)
  35. Department of Health, Food Standards Agency (United Kingdom)
  36. Wellcome Trust (United Kingdom)
  37. Cancer Research UK [16491, 14136] Funding Source: researchfish
  38. Medical Research Council [MC_U106179471, G0401527, MC_UU_12015/1, G1000143] Funding Source: researchfish
  39. National Institute for Health Research [NF-SI-0512-10114, NF-SI-0512-10135] Funding Source: researchfish
  40. MRC [MC_UU_12015/1] Funding Source: UKRI

向作者/读者索取更多资源

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.

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