Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study

dc.contributor.authorCarreras Torres, Robert
dc.contributor.authorJohansson, Mattias
dc.contributor.authorHaycock, Philip C.
dc.contributor.authorWade, Kaitlin H.
dc.contributor.authorRelton, Caroline L.
dc.contributor.authorMartin, Richard M.
dc.contributor.authorSmith, George Davey
dc.contributor.authorAlbanes, Demetrius
dc.contributor.authorAldrich, Melinda C.
dc.contributor.authorAndrew, Angeline S.
dc.contributor.authorArnold, Susanne M.
dc.contributor.authorBickeböller, Heike
dc.contributor.authorBojesen, Stig E.
dc.contributor.authorBrunnström, Hans
dc.contributor.authorManjer, Jonas
dc.contributor.authorBrüske, Irene
dc.contributor.authorCaporaso, Neil E.
dc.contributor.authorChen, Chu
dc.contributor.authorChristiani, David C.
dc.contributor.authorChristian, W. Jay
dc.contributor.authorDoherty, Jennifer A.
dc.contributor.authorDuell, Eric J.
dc.contributor.authorField, John K.
dc.contributor.authorDavies, Michael P. A.
dc.contributor.authorMarcus, Michael W.
dc.contributor.authorGoodman, Gary E.
dc.contributor.authorGrankvist, Kjell
dc.contributor.authorHaugen, Aage
dc.contributor.authorHong, Yun-Chul
dc.contributor.authorKiemeney, Lambertus A. L. M.
dc.contributor.authorHeijden, Erik H. F. M. van der
dc.contributor.authorKraft, Peter
dc.contributor.authorJohansson, Mikael B.
dc.contributor.authorLam, Stephen
dc.contributor.authorLandi, Maria Teresa
dc.contributor.authorLazarus, Philip
dc.contributor.authorMarchand, Loïc Le
dc.contributor.authorLiu, Geoffrey
dc.contributor.authorMelander, Olle
dc.contributor.authorPark, Sungshim L.
dc.contributor.authorRennert, Gad
dc.contributor.authorRisch, Angela
dc.contributor.authorHaura, Eric B.
dc.contributor.authorScelo, Ghislaine
dc.contributor.authorZaridze, David
dc.contributor.authorMukeriya, Anush
dc.contributor.authorSavić, Milan
dc.contributor.authorLissowska, Jolanta
dc.contributor.authorSwiatkowska, Beata
dc.contributor.authorJanout, Vladimir
dc.contributor.authorHolcátová, Ivana
dc.contributor.authorMates, Dana
dc.contributor.authorSchabath, Matthew B.
dc.contributor.authorShen, Hongbing
dc.contributor.authorTardón, Adonina
dc.contributor.authorTeare, M. Dawn
dc.contributor.authorWoll, Penella
dc.contributor.authorTsao, Ming-Sound
dc.contributor.authorWu, Xifeng
dc.contributor.authorYuan, Jian-Min
dc.contributor.authorHung, Rayjean J.
dc.contributor.authorAmos, Christopher I.
dc.contributor.authorMcKay, James D.
dc.contributor.authorBrennan, Paul
dc.date.accessioned2018-09-06T08:31:18Z
dc.date.available2018-09-06T08:31:18Z
dc.date.issued2017-06-08
dc.date.updated2018-07-24T12:06:10Z
dc.description.abstractBackground: 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. Methods and findings: 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/m(2)]), but not for adenocarcinoma (OR [95% CI] = 0.93 [0.79-1.08]) (P-heterogeneity = 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. Conclusions: 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.
dc.format.mimetypeapplication/pdf
dc.identifier.pmid28594918
dc.identifier.urihttps://hdl.handle.net/2445/124354
dc.language.isoeng
dc.publisherPublic Library of Science (PLoS)
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0177875
dc.relation.ispartofPLoS One, 2017, vol. 12, num. 6, p. e0177875
dc.relation.urihttps://doi.org/10.1371/journal.pone.0177875
dc.rightsCC0 (c) Carreras Torres et al., 2017
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.sourceArticles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
dc.subject.classificationCàncer de pulmó
dc.subject.classificationHàbit de fumar
dc.subject.otherLung cancer
dc.subject.otherTobacco
dc.titleObesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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