Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study
Lung Neoplasms
smoking habits
Physiology
Epidemiology
Biochemistry
Lung and Intrathoracic Tumors
Body Mass Index
/dk/atira/pure/core/keywords/icep
Small Cell Lung Cancer
Habits
Endocrinology
Hàbit de fumar
Risk Factors
Medicine and Health Sciences
Smoking Habits
2.1 Biological and endogenous factors
Insulin
Aetiology
Lung
Cancer
2. Zero hunger
Likelihood Functions
0303 health sciences
Lung Cancer
Q
R
Single Nucleotide
Fasting
Tobbacco habit
Lipids
3. Good health
Cholesterol
Phenotype
Oncology
Physiological Parameters
Physical Sciences
Medicine
Anatomy
Lung cancer
Statistics (Mathematics)
Research Article
Histology
General Science & Technology
Science
Oncology and Carcinogenesis
610
Radboudumc 15: Urological cancers RIHS: Radboud Institute for Health Sciences
Polymorphism, Single Nucleotide
BMI
03 medical and health sciences
Radboudumc 16: Vascular damage RIHS: Radboud Institute for Health Sciences
Clinical Research
Health Sciences
Tobacco
Confidence Intervals
Genetics
Journal Article
Humans
Obesity
Polymorphism
Nutrition
/dk/atira/pure/core/keywords/icep; name=ICEP
Diabetic Endocrinology
Behavior
Cancer och onkologi
Biomedical and Clinical Sciences
Tobacco Smoke and Health
name=ICEP
Prevention
Body Weight
Cancers and Neoplasms
Biology and Life Sciences
Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health Sciences
Mendelian Randomization Analysis
Hormones
lung cancer
Cancer and Oncology
Càncer de pulmó
Insulin Resistance
Mathematics
DOI:
10.1371/journal.pone.0177875
Publication Date:
2017-06-08T13:39:50Z
AUTHORS (64)
ABSTRACT
Assessing the relationship between lung cancer and metabolic conditions is challenging because of the confounding effect of tobacco. Mendelian randomization (MR), or the use of genetic instrumental variables to assess causality, may help to identify the metabolic drivers of lung cancer.We identified genetic instruments for potential metabolic risk factors and evaluated these in relation to risk using 29,266 lung cancer cases (including 11,273 adenocarcinomas, 7,426 squamous cell and 2,664 small cell cases) and 56,450 controls. The MR risk analysis suggested a causal effect of body mass index (BMI) on lung cancer risk for two of the three major histological subtypes, with evidence of a risk increase for squamous cell carcinoma (odds ratio (OR) [95% confidence interval (CI)] = 1.20 [1.01-1.43] and for small cell lung cancer (OR [95%CI] = 1.52 [1.15-2.00]) for each standard deviation (SD) increase in BMI [4.6 kg/m2]), but not for adenocarcinoma (OR [95%CI] = 0.93 [0.79-1.08]) (Pheterogeneity = 4.3x10-3). Additional analysis using a genetic instrument for BMI showed that each SD increase in BMI increased cigarette consumption by 1.27 cigarettes per day (P = 2.1x10-3), providing novel evidence that a genetic susceptibility to obesity influences smoking patterns. There was also evidence that low-density lipoprotein cholesterol was inversely associated with lung cancer overall risk (OR [95%CI] = 0.90 [0.84-0.97] per SD of 38 mg/dl), while fasting insulin was positively associated (OR [95%CI] = 1.63 [1.25-2.13] per SD of 44.4 pmol/l). Sensitivity analyses including a weighted-median approach and MR-Egger test did not detect other pleiotropic effects biasing the main results.Our results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma. The latter relation may be mediated by a previously unrecognized effect of obesity on smoking behavior.
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