A Nested Case-Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).
| dc.creator | Murphy, Neil | |
| dc.creator | Cross, Amanda J | |
| dc.creator | Abubakar, Mustapha | |
| dc.creator | Jenab, Mazda | |
| dc.creator | Aleksandrova, Krasimira | |
| dc.creator | Boutron-Ruault, Marie-Christine | |
| dc.creator | Dossus, Laure | |
| dc.creator | Racine, Antoine | |
| dc.creator | Kühn, Tilman | |
| dc.creator | Katzke, Verena A | |
| dc.creator | Tjønneland, Anne | |
| dc.creator | Petersen, Kristina EN | |
| dc.creator | Overvad, Kim | |
| dc.creator | Quirós, J Ramón | |
| dc.creator | Jakszyn, Paula | |
| dc.creator | Molina-Montes, Esther | |
| dc.creator | Dorronsoro, Miren | |
| dc.creator | Huerta, José-María | |
| dc.creator | Barricarte, Aurelio | |
| dc.creator | Khaw, Kay-Tee | |
| dc.creator | Wareham, Nick | |
| dc.creator | Travis, Ruth C | |
| dc.creator | Trichopoulou, Antonia | |
| dc.creator | Lagiou, Pagona | |
| dc.creator | Trichopoulos, Dimitrios | |
| dc.creator | Masala, Giovanna | |
| dc.creator | Krogh, Vittorio | |
| dc.creator | Tumino, Rosario | |
| dc.creator | Vineis, Paolo | |
| dc.creator | Panico, Salvatore | |
| dc.creator | Bueno-de-Mesquita, H Bas | |
| dc.creator | Siersema, Peter D | |
| dc.creator | Peeters, Petra H | |
| dc.creator | Ohlsson, Bodil | |
| dc.creator | Ericson, Ulrika | |
| dc.creator | Palmqvist, Richard | |
| dc.creator | Nyström, Hanna | |
| dc.creator | Weiderpass, Elisabete | |
| dc.creator | Skeie, Guri | |
| dc.creator | Freisling, Heinz | |
| dc.creator | Kong, So Yeon | |
| dc.creator | Tsilidis, Kostas | |
| dc.creator | Muller, David C | |
| dc.creator | Riboli, Elio | |
| dc.creator | Gunter, Marc J | |
| dc.date | 2018-11-09T00:30:13Z | |
| dc.date | 2018-11-09T00:30:13Z | |
| dc.date | 2016-04 | |
| dc.date.accessioned | 2026-08-03T03:42:20Z | |
| dc.description | BACKGROUND: Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. METHODS AND FINDINGS: The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of <0.05 was considered statistically significant. In multivariable-adjusted conditional logistic regression models with BMI used to define adiposity, compared with metabolically healthy/normal weight individuals, we observed a higher colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) participants, but not among metabolically healthy/overweight individuals (OR = 0.96, 95% CI 0.65-1.42). Among the overweight individuals, lower colorectal cancer risk was observed for metabolically healthy/overweight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49-0.96). These associations were generally consistent when waist circumference was used as the measure of adiposity. To our knowledge, there is no universally accepted clinical definition for using C-peptide level as an indication of hyperinsulinaemia. Therefore, a possible limitation of our analysis was that the classification of individuals as being hyperinsulinaemic-based on their C-peptide level-was arbitrary. However, when we used quartiles or the median of C-peptide, instead of tertiles, as the cut-point of hyperinsulinaemia, a similar pattern of associations was observed. CONCLUSIONS: These results support the idea that individuals with the metabolically healthy/overweight phenotype (with normal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia. The combination of anthropometric measures with metabolic parameters, such as C-peptide, may be useful for defining strata of the population at greater risk of colorectal cancer. | |
| dc.format | Electronic-eCollection | |
| dc.format | application/pdf | |
| dc.identifier | 1549-1277 | |
| dc.identifier | https://www.repository.cam.ac.uk/handle/1810/284871 | |
| dc.identifier | 10.17863/CAM.32244 | |
| dc.identifier | 1549-1676 | |
| dc.identifier.uri | https://repo.dare.co.zw/handle/123456789/179663 | |
| dc.language | eng | |
| dc.language | eng | |
| dc.publisher | Public Library of Science (PLoS) | |
| dc.publisher | https://doi.org/10.1371/journal.pmed.1001988 | |
| dc.rights | Attribution 4.0 International | |
| dc.rights | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Adiposity | |
| dc.subject | Biomarkers | |
| dc.subject | Body Mass Index | |
| dc.subject | Body Size | |
| dc.subject | C-Peptide | |
| dc.subject | Case-Control Studies | |
| dc.subject | Chi-Square Distribution | |
| dc.subject | Colorectal Neoplasms | |
| dc.subject | Europe | |
| dc.subject | Female | |
| dc.subject | Health Status | |
| dc.subject | Humans | |
| dc.subject | Hyperinsulinism | |
| dc.subject | Incidence | |
| dc.subject | Logistic Models | |
| dc.subject | Male | |
| dc.subject | Middle Aged | |
| dc.subject | Multivariate Analysis | |
| dc.subject | Obesity | |
| dc.subject | Obesity, Metabolically Benign | |
| dc.subject | Odds Ratio | |
| dc.subject | Phenotype | |
| dc.subject | Prospective Studies | |
| dc.subject | Protective Factors | |
| dc.subject | Risk Assessment | |
| dc.subject | Risk Factors | |
| dc.subject | Waist Circumference | |
| dc.title | A Nested Case-Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC). | |
| dc.type | Article |