Metabolic factors and the risk of colorectal cancer by KRAS and BRAF mutation status.
Robin MyteBjörn GyllingJenny HäggströmChristel HäggströmCarl ZingmarkAnna Löfgren BurströmRichard PalmqvistBethany Van GuelpenPublished in: International journal of cancer (2019)
Factors related to energy metabolism and the metabolic syndrome, such as higher body mass index (BMI), blood glucose, or blood lipids, and blood pressure, are associated with an increased risk of colorectal cancer (CRC). However, CRC is a heterogeneous disease, developing through distinct pathways with differences in molecular characteristics and prognosis, and possibly also in risk factors. For subtypes defined by KRAS and BRAF mutation status, BMI is the only metabolic factor previously studied, with inconsistent findings. We investigated whether associations between BMI, blood glucose, blood lipids, and blood pressure and CRC risk differed by tumor KRAS and BRAF mutation status in 117,687 participants from two population-based cohorts within the Northern Sweden Health and Disease Study (NSHDS). Hazard ratios (HRs) for overall CRC and CRC subtypes by metabolic factors were estimated with Cox proportional hazards regression, using multiple imputation to handle missing exposure and tumor data. During a median follow-up of 15.6 years, we acquired 1,250 prospective CRC cases, of which 766 cases had complete baseline and molecular tumor data. Consistent with previous evidence, higher BMI, total cholesterol, triglyceride levels, and blood pressure were associated with an increased risk of overall CRC (HRs per 1 standard deviation increase: 1.07 to 1.12). These associations were similar regardless of CRC subtype by KRAS and BRAF mutation status (all pheterogeneity > 0.05). The same was true for subtypes based on microsatellite instability status. Poor metabolic health may therefore be a universal mechanism for colorectal cancer, acting across multiple developmental pathways.
Keyphrases
- blood glucose
- body mass index
- blood pressure
- wild type
- metabolic syndrome
- weight gain
- healthcare
- public health
- glycemic control
- hypertensive patients
- heart rate
- metastatic colorectal cancer
- mental health
- electronic health record
- type diabetes
- risk assessment
- insulin resistance
- mass spectrometry
- single molecule
- health information
- adipose tissue
- uric acid
- social media
- high resolution
- deep learning
- atomic force microscopy