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1.
Sci Rep ; 10(1): 5336, 2020 03 24.
Article in English | MEDLINE | ID: mdl-32210264

ABSTRACT

Body fatness increases the risk of colorectal cancer (CRC). Insulin resistance and altered adipokines are potential mechanisms, but previous biomarker studies have been inconsistent. Intertumoral heterogeneity might provide an explanation. We investigated insulin, C-peptide, adiponectin, and leptin in relation to CRC molecular subtypes using a nested case-control design (1010 cases, 1010 matched controls, median 12.3 years from baseline to CRC diagnosis) from the population-based Northern Sweden Health and Disease Study. Repeated samples were available from 518 participants. Risks of CRC and subtypes, defined by tumor BRAF and KRAS mutations and microsatellite instability (MSI) status, were estimated using conditional logistic regression and linear mixed models. Higher C-peptide and lower adiponectin were associated with increased CRC risk (odds ratios per standard deviation increase (95% CI): 1.11 (1.01, 1.23) and 0.91 (0.83, 1.00), respectively), though weakened when adjusted for body mass index. Insulin and leptin were not associated with CRC risk. Within-individual time trajectories were similar in cases and controls, and no subtype-specific relationships were identified (all Pheterogeneity > 0.1). Adiponectin was weakly inversely associated with the risk of KRAS-mutated (P = 0.08) but not BRAF-mutated or KRAS/BRAF-wildtype CRC, consistent with the one previous study. These findings contribute to an increased understanding of the complex role of body size in CRC.


Subject(s)
Biomarkers/blood , Colorectal Neoplasms/diagnosis , Colorectal Neoplasms/metabolism , Adiponectin/blood , Adult , Aged , C-Peptide/blood , Case-Control Studies , Colorectal Neoplasms/genetics , Female , Humans , Insulin/blood , Leptin/blood , Longitudinal Studies , Male , Microsatellite Instability , Middle Aged , Mutation , Proto-Oncogene Proteins B-raf/genetics , Proto-Oncogene Proteins p21(ras)/genetics , Risk Factors
2.
Int J Cancer ; 121(9): 2065-2072, 2007 Nov 01.
Article in English | MEDLINE | ID: mdl-17640039

ABSTRACT

Alcohol consumption may be associated with risk of colorectal cancer (CRC), but the epidemiological evidence for an association with specific anatomical subsites, types of alcoholic beverages and current vs. lifetime alcohol intake is inconsistent. Within the European Prospective Investigation into Cancer and Nutrition (EPIC), 478,732 study subjects free of cancer at enrolment between 1992 and 2000 were followed up for an average of 6.2 years, during which 1,833 CRC cases were observed. Detailed information on consumption of alcoholic beverages at baseline (all cases) and during lifetime (1,447 CRC cases, 69% of the cohort) was collected from questionnaires. Cox proportional hazard models were used to examine the alcohol-CRC association. After adjustment for potential confounding factors, lifetime alcohol intake was significantly positively associated to CRC risk (hazard ratio, HR=1.08, 95%CI=1.04-1.12 for 15 g/day increase), with higher cancer risks observed in the rectum (HR=1.12, 95%CI=1.06-1.18) than distal colon (HR=1.08, 95%CI=1.01-1.16), and proximal colon (HR=1.02, 95%CI=0.92-1.12). Similar results were observed for baseline alcohol intake. When assessed by alcoholic beverages at baseline, the CRC risk for beer (HR=1.38, 95%CI=1.08-1.77 for 20-39.9 vs. 0.1-2.9 g/day) was higher than wine (HR=1.21, 95%CI=1.02-1.44), although the two risk estimates were not significantly different from each other. Higher HRs for baseline alcohol were observed for low levels of folate intake (1.13, 95%CI=1.06-1.20 for 15 g/day increase) compared to high folate intake (1.03, 95%CI=0.98-1.09). In this large European cohort, both lifetime and baseline alcohol consumption increase colon and rectum cancer risk, with more apparent risk increases for alcohol intakes greater than 30 g/day.


Subject(s)
Alcohol Drinking/adverse effects , Colonic Neoplasms/epidemiology , Nutrition Assessment , Rectal Neoplasms/epidemiology , Europe , Female , Humans , Male , Middle Aged , Risk Factors , Sex Characteristics , Time Factors
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