Literature DB >> 35839461

Circulating Isovalerylcarnitine and Lung Cancer Risk: Evidence from Mendelian Randomization and Prediagnostic Blood Measurements.

Karl Smith-Byrne1, Agustin Cerani2, Florence Guida1, Sirui Zhou2, Antonio Agudo3, Krasimira Aleksandrova4,5, Aurelio Barricarte6,7, Miguel Rodríguez Barranco7,8,9, Christoph H Bochers2,10, Inger Torhild Gram11, Jun Han10, Christopher I Amos12, Rayjean J Hung13, Kjell Grankvist14, Therese Haugdhal Nøst11, Liher Imaz15,16, María Dolores Chirlaque-López7,17, Mikael Johansson18, Rudolf Kaaks19,20, Tilman Kühn19, Richard M Martin21, James D McKay1, Valeria Pala22, Hilary A Robbins1, Torkjel M Sandanger11, David Schibli10, Matthias B Schulze4,5, Ruth C Travis23, Paolo Vineis24, Elisabete Weiderpass1, Paul Brennan1, Mattias Johansson1, J Brent Richards2,25,26.   

Abstract

BACKGROUND: Tobacco exposure causes 8 of 10 lung cancers, and identifying additional risk factors is challenging due to confounding introduced by smoking in traditional observational studies.
MATERIALS AND METHODS: We used Mendelian randomization (MR) to screen 207 metabolites for their role in lung cancer predisposition using independent genome-wide association studies (GWAS) of blood metabolite levels (n = 7,824) and lung cancer risk (n = 29,266 cases/56,450 controls). A nested case-control study (656 cases and 1,296 matched controls) was subsequently performed using prediagnostic blood samples to validate MR association with lung cancer incidence data from population-based cohorts (EPIC and NSHDS).
RESULTS: An MR-based scan of 207 circulating metabolites for lung cancer risk identified that blood isovalerylcarnitine (IVC) was associated with a decreased odds of lung cancer after accounting for multiple testing (log10-OR = 0.43; 95% CI, 0.29-0.63). Molar measurement of IVC in prediagnostic blood found similar results (log10-OR = 0.39; 95% CI, 0.21-0.72). Results were consistent across lung cancer subtypes.
CONCLUSIONS: Independent lines of evidence support an inverse association of elevated circulating IVC with lung cancer risk through a novel methodologic approach that integrates genetic and traditional epidemiology to efficiently identify novel cancer biomarkers. IMPACT: Our results find compelling evidence in favor of a protective role for a circulating metabolite, IVC, in lung cancer etiology. From the treatment of a Mendelian disease, isovaleric acidemia, we know that circulating IVC is modifiable through a restricted protein diet or glycine and L-carnatine supplementation. IVC may represent a modifiable and inversely associated biomarker for lung cancer. ©2022 The Authors; Published by the American Association for Cancer Research.

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Year:  2022        PMID: 35839461      PMCID: PMC9530646          DOI: 10.1158/1055-9965.EPI-21-1033

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  44 in total

1.  'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?

Authors:  George Davey Smith; Shah Ebrahim
Journal:  Int J Epidemiol       Date:  2003-02       Impact factor: 7.196

Review 2.  The Emerging Hallmarks of Cancer Metabolism.

Authors:  Natalya N Pavlova; Craig B Thompson
Journal:  Cell Metab       Date:  2016-01-12       Impact factor: 27.287

3.  Assessment of Lung Cancer Risk on the Basis of a Biomarker Panel of Circulating Proteins.

Authors:  Florence Guida; Nan Sun; Leonidas E Bantis; David C Muller; Peng Li; Ayumu Taguchi; Dilsher Dhillon; Deepali L Kundnani; Nikul J Patel; Qingxiang Yan; Graham Byrnes; Karel G M Moons; Anne Tjønneland; Salvatore Panico; Claudia Agnoli; Paolo Vineis; Domenico Palli; Bas Bueno-de-Mesquita; Petra H Peeters; Antonio Agudo; Jose M Huerta; Miren Dorronsoro; Miguel Rodriguez Barranco; Eva Ardanaz; Ruth C Travis; Karl Smith Byrne; Heiner Boeing; Annika Steffen; Rudolf Kaaks; Anika Hüsing; Antonia Trichopoulou; Pagona Lagiou; Carlo La Vecchia; Gianluca Severi; Marie-Christine Boutron-Ruault; Torkjel M Sandanger; Elisabete Weiderpass; Therese H Nøst; Kostas Tsilidis; Elio Riboli; Kjell Grankvist; Mikael Johansson; Gary E Goodman; Ziding Feng; Paul Brennan; Mattias Johansson; Samir M Hanash
Journal:  JAMA Oncol       Date:  2018-10-11       Impact factor: 31.777

4.  Is high vitamin B12 status a cause of lung cancer?

Authors:  Anouar Fanidi; Robert Carreras-Torres; Tricia L Larose; Jian-Min Yuan; Victoria L Stevens; Stephanie J Weinstein; Demetrius Albanes; Ross Prentice; Mary Pettinger; Qiuyin Cai; William J Blot; Alan A Arslan; Anne Zeleniuch-Jacquotte; Marjorie L McCullough; Loic Le Marchand; Lynne R Wilkens; Christopher A Haiman; Xuehong Zhang; Meir J Stampfer; Stephanie A Smith-Warner; Edward Giovannucci; Graham G Giles; Allison M Hodge; Gianluca Severi; Mikael Johansson; Kjell Grankvist; Arnulf Langhammer; Ben M Brumpton; Renwei Wang; Yu-Tang Gao; Ulrika Ericson; Stig E Bojesen; Susanne M Arnold; Woon-Puay Koh; Xiao-Ou Shu; Yong-Bing Xiang; Honglan Li; Wei Zheng; Qing Lan; Kala Visvanathan; Judith Hoffman-Bolton; Per M Ueland; Øivind Midttun; Neil E Caporaso; Mark Purdue; Neal D Freedman; Julie E Buring; I-Min Lee; Howard D Sesso; J Michael Gaziano; Jonas Manjer; Caroline L Relton; Rayjean J Hung; Chris I Amos; Mattias Johansson; Paul Brennan
Journal:  Int J Cancer       Date:  2019-01-15       Impact factor: 7.396

5.  Mendelian randomization analysis with multiple genetic variants using summarized data.

Authors:  Stephen Burgess; Adam Butterworth; Simon G Thompson
Journal:  Genet Epidemiol       Date:  2013-09-20       Impact factor: 2.135

Review 6.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

7.  Bayesian test for colocalisation between pairs of genetic association studies using summary statistics.

Authors:  Claudia Giambartolomei; Damjan Vukcevic; Eric E Schadt; Lude Franke; Aroon D Hingorani; Chris Wallace; Vincent Plagnol
Journal:  PLoS Genet       Date:  2014-05-15       Impact factor: 5.917

8.  An atlas of genetic influences on human blood metabolites.

Authors:  So-Youn Shin; Eric B Fauman; Ann-Kristin Petersen; Jan Krumsiek; Rita Santos; Jie Huang; Matthias Arnold; Idil Erte; Vincenzo Forgetta; Tsun-Po Yang; Klaudia Walter; Cristina Menni; Lu Chen; Louella Vasquez; Ana M Valdes; Craig L Hyde; Vicky Wang; Daniel Ziemek; Phoebe Roberts; Li Xi; Elin Grundberg; Melanie Waldenberger; J Brent Richards; Robert P Mohney; Michael V Milburn; Sally L John; Jeff Trimmer; Fabian J Theis; John P Overington; Karsten Suhre; M Julia Brosnan; Christian Gieger; Gabi Kastenmüller; Tim D Spector; Nicole Soranzo
Journal:  Nat Genet       Date:  2014-05-11       Impact factor: 38.330

9.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

Authors:  Jack Bowden; George Davey Smith; Philip C Haycock; Stephen Burgess
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

Review 10.  Oncogene-Driven Metabolic Alterations in Cancer.

Authors:  Hye-Young Min; Ho-Young Lee
Journal:  Biomol Ther (Seoul)       Date:  2018-01-01       Impact factor: 4.634

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