Literature DB >> 33472890

Assessing Lung Cancer Absolute Risk Trajectory Based on a Polygenic Risk Model.

Matthew T Warkentin1,2, Yonathan Brhane1, Rayjean J Hung3,2, Nilanjan Chatterjee4, David C Christiani5, Maria Teresa Landi6, Neil E Caporaso6, Geoffrey Liu7, Mattias Johansson8, Demetrius Albanes6, Loic Le Marchand9, Adonina Tardon10, Gad Rennert11, Stig E Bojesen12, Chu Chen13, John K Field14, Lambertus A Kiemeney15, Philip Lazarus16, Shanbeth Zienolddiny17, Stephen Lam18, Angeline S Andrew19, Susanne M Arnold20, Melinda C Aldrich21, Heike Bickeböller22, Angela Risch23, Matthew B Schabath24, James D McKay8, Paul Brennan8, Christopher I Amos25.   

Abstract

Lung cancer is the leading cause of cancer-related death globally. An improved risk stratification strategy can increase efficiency of low-dose CT (LDCT) screening. Here we assessed whether individual's genetic background has clinical utility for risk stratification in the context of LDCT screening. On the basis of 13,119 patients with lung cancer and 10,008 controls with European ancestry in the International Lung Cancer Consortium, we constructed a polygenic risk score (PRS) via 10-fold cross-validation with regularized penalized regression. The performance of risk model integrating PRS, including calibration and ability to discriminate, was assessed using UK Biobank data (N = 335,931). Absolute risk was estimated on the basis of age-specific lung cancer incidence and all-cause mortality as competing risk. To evaluate its potential clinical utility, the PRS distribution was simulated in the National Lung Screening Trial (N = 50,772 participants). The lung cancer ORs for individuals at the top decile of the PRS distribution versus those at bottom 10% was 2.39 [95% confidence interval (CI) = 1.92-3.00; P = 1.80 × 10-14] in the validation set (P trend = 5.26 × 10-20). The OR per SD of PRS increase was 1.26 (95% CI = 1.20-1.32; P = 9.69 × 10-23) for overall lung cancer risk in the validation set. When considering absolute risks, individuals at different PRS deciles showed differential trajectories of 5-year and cumulative absolute risk. The age reaching the LDCT screening recommendation threshold can vary by 4 to 8 years, depending on the individual's genetic background, smoking status, and family history. Collectively, these results suggest that individual's genetic background may inform the optimal lung cancer LDCT screening strategy. SIGNIFICANCE: Three large-scale datasets reveal that, after accounting for risk factors, an individual's genetics can affect their lung cancer risk trajectory, thus may inform the optimal timing for LDCT screening. ©2021 American Association for Cancer Research.

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Year:  2021        PMID: 33472890      PMCID: PMC7969419          DOI: 10.1158/0008-5472.CAN-20-1237

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   13.312


  31 in total

1.  Identification of lung cancer histology-specific variants applying Bayesian framework variant prioritization approaches within the TRICL and ILCCO consortia.

Authors:  Darren R Brenner; Christopher I Amos; Yonathan Brhane; Maria N Timofeeva; Neil Caporaso; Yufei Wang; David C Christiani; Heike Bickeböller; Ping Yang; Demetrius Albanes; Victoria L Stevens; Susan Gapstur; James McKay; Paolo Boffetta; David Zaridze; Neonilia Szeszenia-Dabrowska; Jolanta Lissowska; Peter Rudnai; Eleonora Fabianova; Dana Mates; Vladimir Bencko; Lenka Foretova; Vladimir Janout; Hans E Krokan; Frank Skorpen; Maiken E Gabrielsen; Lars Vatten; Inger Njølstad; Chu Chen; Gary Goodman; Mark Lathrop; Tõnu Vooder; Kristjan Välk; Mari Nelis; Andres Metspalu; Peter Broderick; Timothy Eisen; Xifeng Wu; Di Zhang; Wei Chen; Margaret R Spitz; Yongyue Wei; Li Su; Dong Xie; Jun She; Keitaro Matsuo; Fumihiko Matsuda; Hidemi Ito; Angela Risch; Joachim Heinrich; Albert Rosenberger; Thomas Muley; Hendrik Dienemann; John K Field; Olaide Raji; Ying Chen; John Gosney; Triantafillos Liloglou; Michael P A Davies; Michael Marcus; John McLaughlin; Irene Orlow; Younghun Han; Yafang Li; Xuchen Zong; Mattias Johansson; Geoffrey Liu; Shelley S Tworoger; Loic Le Marchand; Brian E Henderson; Lynne R Wilkens; Juncheng Dai; Hongbing Shen; Richard S Houlston; Maria T Landi; Paul Brennan; Rayjean J Hung
Journal:  Carcinogenesis       Date:  2015-09-10       Impact factor: 4.944

2.  Lung Cancer Risk Prediction Using Common SNPs Located in GWAS-Identified Susceptibility Regions.

Authors:  Joel L Weissfeld; Yan Lin; Hui-Min Lin; Brenda F Kurland; David O Wilson; Carl R Fuhrman; Arjun Pennathur; Marjorie Romkes; Tomoko Nukui; Jian-Min Yuan; Jill M Siegfried; Brenda Diergaarde
Journal:  J Thorac Oncol       Date:  2015-11       Impact factor: 15.609

3.  Smoking, smoking cessation, and lung cancer in the UK since 1950: combination of national statistics with two case-control studies.

Authors:  R Peto; S Darby; H Deo; P Silcocks; E Whitley; R Doll
Journal:  BMJ       Date:  2000-08-05

Review 4.  Developing and evaluating polygenic risk prediction models for stratified disease prevention.

Authors:  Nilanjan Chatterjee; Jianxin Shi; Montserrat García-Closas
Journal:  Nat Rev Genet       Date:  2016-05-03       Impact factor: 53.242

5.  National Lung Screening Trial findings by age: Medicare-eligible versus under-65 population.

Authors:  Paul F Pinsky; David S Gierada; William Hocking; Edward F Patz; Barnett S Kramer
Journal:  Ann Intern Med       Date:  2014-11-04       Impact factor: 25.391

6.  UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.

Authors:  Cathie Sudlow; John Gallacher; Naomi Allen; Valerie Beral; Paul Burton; John Danesh; Paul Downey; Paul Elliott; Jane Green; Martin Landray; Bette Liu; Paul Matthews; Giok Ong; Jill Pell; Alan Silman; Alan Young; Tim Sprosen; Tim Peakman; Rory Collins
Journal:  PLoS Med       Date:  2015-03-31       Impact factor: 11.069

7.  Evaluation of the lung cancer risks at which to screen ever- and never-smokers: screening rules applied to the PLCO and NLST cohorts.

Authors:  Martin C Tammemägi; Timothy R Church; William G Hocking; Gerard A Silvestri; Paul A Kvale; Thomas L Riley; John Commins; Christine D Berg
Journal:  PLoS Med       Date:  2014-12-02       Impact factor: 11.069

8.  iCARE: An R package to build, validate and apply absolute risk models.

Authors:  Parichoy Pal Choudhury; Paige Maas; Amber Wilcox; William Wheeler; Mark Brook; David Check; Montserrat Garcia-Closas; Nilanjan Chatterjee
Journal:  PLoS One       Date:  2020-02-05       Impact factor: 3.240

9.  Genomic Prediction of 16 Complex Disease Risks Including Heart Attack, Diabetes, Breast and Prostate Cancer.

Authors:  Louis Lello; Timothy G Raben; Soke Yuen Yong; Laurent C A M Tellier; Stephen D H Hsu
Journal:  Sci Rep       Date:  2019-10-25       Impact factor: 4.379

10.  Breast Cancer Risk From Modifiable and Nonmodifiable Risk Factors Among White Women in the United States.

Authors:  Paige Maas; Myrto Barrdahl; Amit D Joshi; Paul L Auer; Mia M Gaudet; Roger L Milne; Fredrick R Schumacher; William F Anderson; David Check; Subham Chattopadhyay; Laura Baglietto; Christine D Berg; Stephen J Chanock; David G Cox; Jonine D Figueroa; Mitchell H Gail; Barry I Graubard; Christopher A Haiman; Susan E Hankinson; Robert N Hoover; Claudine Isaacs; Laurence N Kolonel; Loic Le Marchand; I-Min Lee; Sara Lindström; Kim Overvad; Isabelle Romieu; Maria-Jose Sanchez; Melissa C Southey; Daniel O Stram; Rosario Tumino; Tyler J VanderWeele; Walter C Willett; Shumin Zhang; Julie E Buring; Federico Canzian; Susan M Gapstur; Brian E Henderson; David J Hunter; Graham G Giles; Ross L Prentice; Regina G Ziegler; Peter Kraft; Montse Garcia-Closas; Nilanjan Chatterjee
Journal:  JAMA Oncol       Date:  2016-10-01       Impact factor: 31.777

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  7 in total

1.  Considerations of biomarker application for cancer continuum in the era of precision medicine.

Authors:  Rayjean J Hung; Elham Khodayari Moez; Shana J Kim; Sanjeev Budhathoki; Jennifer D Brooks
Journal:  Curr Epidemiol Rep       Date:  2022-07-09

Review 2.  Are polygenic risk scores ready for the cancer clinic?-a perspective.

Authors:  Robert J Klein; Zeynep H Gümüş
Journal:  Transl Lung Cancer Res       Date:  2022-05

3.  Lung cancer risk in never-smokers: An overview of environmental and genetic factors.

Authors:  Elvin S Cheng; Marianne Weber; Julia Steinberg; Xue Qin Yu
Journal:  Chin J Cancer Res       Date:  2021-10-31       Impact factor: 4.026

4.  Genetic Analysis of Lung Cancer and the Germline Impact on Somatic Mutation Burden.

Authors:  Aurélie A G Gabriel; Joshua R Atkins; Ricardo C C Penha; Karl Smith-Byrne; Valerie Gaborieau; Catherine Voegele; Behnoush Abedi-Ardekani; Maja Milojevic; Robert Olaso; Vincent Meyer; Anne Boland; Jean François Deleuze; David Zaridze; Anush Mukeriya; Beata Swiatkowska; Vladimir Janout; Miriam Schejbalová; Dana Mates; Jelena Stojšić; Miodrag Ognjanovic; John S Witte; Sara R Rashkin; Linda Kachuri; Rayjean J Hung; Siddhartha Kar; Paul Brennan; Anne-Sophie Sertier; Anthony Ferrari; Alain Viari; Mattias Johansson; Christopher I Amos; Matthieu Foll; James D McKay
Journal:  J Natl Cancer Inst       Date:  2022-08-08       Impact factor: 11.816

5.  Metabolic Obesity Phenotypes and Risk of Lung Cancer: A Prospective Cohort Study of 450,482 UK Biobank Participants.

Authors:  Fang Shao; Yina Chen; Hongyang Xu; Xin Chen; Jiawei Zhou; Yaqian Wu; Yingdan Tang; Zhongtian Wang; Ruyang Zhang; Theis Lange; Hongxia Ma; Zhibin Hu; Hongbing Shen; David C Christiani; Feng Chen; Yang Zhao; Dongfang You
Journal:  Nutrients       Date:  2022-08-17       Impact factor: 6.706

6.  Ambient Air Pollution and Lung Cancer: Nature and Nurture.

Authors:  David C Christiani
Journal:  Am J Respir Crit Care Med       Date:  2021-10-01       Impact factor: 21.405

7.  Gene-gene interaction of AhRwith and within the Wntcascade affects susceptibility to lung cancer.

Authors:  Albert Rosenberger; Nils Muttray; Rayjean J Hung; David C Christiani; Neil E Caporaso; Geoffrey Liu; Stig E Bojesen; Loic Le Marchand; Demetrios Albanes; Melinda C Aldrich; Adonina Tardon; Guillermo Fernández-Tardón; Gad Rennert; John K Field; Michael P A Davies; Triantafillos Liloglou; Lambertus A Kiemeney; Philip Lazarus; Bernadette Wendel; Aage Haugen; Shanbeh Zienolddiny; Stephen Lam; Matthew B Schabath; Angeline S Andrew; Eric J Duell; Susanne M Arnold; Gary E Goodman; Chu Chen; Jennifer A Doherty; Fiona Taylor; Angela Cox; Penella J Woll; Angela Risch; Thomas R Muley; Mikael Johansson; Paul Brennan; Maria Teresa Landi; Sanjay S Shete; Christopher I Amos; Heike Bickeböller
Journal:  Eur J Med Res       Date:  2022-01-31       Impact factor: 2.175

  7 in total

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