Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer

Abstract Single nucleotide polymorphisms (SNPs) may modulate individual susceptibility to carcinogens. We designed a genome‐wide association study to characterize individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced non‐small cell lung cancer (NSCLC), and we vali...

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Main Authors: Juan Pablo Fusco, Guillermo Pita, María José Pajares, Maria Pilar Andueza, Ana Patiño‐García, Juan P. de‐Torres, Alfonso Gurpide, Javier Zulueta, Rosario Alonso, Nuria Alvarez, Ruben Pio, Ignacio Melero, Miguel F. Sanmamed, Maria Rodriguez Ruiz, Ignacio Gil‐Bazo, Jose María Lopez‐Picazo, Ciro Casanova, Rebeca Baz Davila, Antonio Agudo, Maria Dolores Lozano, Alvaro Gonzalez, Nuria Sala, Eva Ardanaz, Javier Benitez, Luis Montuenga, Anna Gonzalez‐Neira, Jose Luis Perez‐Gracia
Format: Article
Language:English
Published: Wiley 2018-07-01
Series:Cancer Medicine
Subjects:
Online Access:https://doi.org/10.1002/cam4.1500
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language English
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author Juan Pablo Fusco
Guillermo Pita
María José Pajares
Maria Pilar Andueza
Ana Patiño‐García
Juan P. de‐Torres
Alfonso Gurpide
Javier Zulueta
Rosario Alonso
Nuria Alvarez
Ruben Pio
Ignacio Melero
Miguel F. Sanmamed
Maria Rodriguez Ruiz
Ignacio Gil‐Bazo
Jose María Lopez‐Picazo
Ciro Casanova
Rebeca Baz Davila
Antonio Agudo
Maria Dolores Lozano
Alvaro Gonzalez
Nuria Sala
Eva Ardanaz
Javier Benitez
Luis Montuenga
Anna Gonzalez‐Neira
Jose Luis Perez‐Gracia
spellingShingle Juan Pablo Fusco
Guillermo Pita
María José Pajares
Maria Pilar Andueza
Ana Patiño‐García
Juan P. de‐Torres
Alfonso Gurpide
Javier Zulueta
Rosario Alonso
Nuria Alvarez
Ruben Pio
Ignacio Melero
Miguel F. Sanmamed
Maria Rodriguez Ruiz
Ignacio Gil‐Bazo
Jose María Lopez‐Picazo
Ciro Casanova
Rebeca Baz Davila
Antonio Agudo
Maria Dolores Lozano
Alvaro Gonzalez
Nuria Sala
Eva Ardanaz
Javier Benitez
Luis Montuenga
Anna Gonzalez‐Neira
Jose Luis Perez‐Gracia
Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
Cancer Medicine
ATP10D
cancer risk
extreme phenotypes
genome‐wide association study
non‐small cell lung cancer
PDE10A
author_facet Juan Pablo Fusco
Guillermo Pita
María José Pajares
Maria Pilar Andueza
Ana Patiño‐García
Juan P. de‐Torres
Alfonso Gurpide
Javier Zulueta
Rosario Alonso
Nuria Alvarez
Ruben Pio
Ignacio Melero
Miguel F. Sanmamed
Maria Rodriguez Ruiz
Ignacio Gil‐Bazo
Jose María Lopez‐Picazo
Ciro Casanova
Rebeca Baz Davila
Antonio Agudo
Maria Dolores Lozano
Alvaro Gonzalez
Nuria Sala
Eva Ardanaz
Javier Benitez
Luis Montuenga
Anna Gonzalez‐Neira
Jose Luis Perez‐Gracia
author_sort Juan Pablo Fusco
title Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
title_short Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
title_full Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
title_fullStr Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
title_full_unstemmed Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
title_sort genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
publisher Wiley
series Cancer Medicine
issn 2045-7634
publishDate 2018-07-01
description Abstract Single nucleotide polymorphisms (SNPs) may modulate individual susceptibility to carcinogens. We designed a genome‐wide association study to characterize individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced non‐small cell lung cancer (NSCLC), and we validated our results. We hypothesized that this strategy would enrich the frequencies of the alleles that contribute to the observed traits. We genotyped 2.37 million SNPs in 95 extreme phenotype individuals, that is: heavy smokers that either developed NSCLC at an early age (extreme cases); or did not present NSCLC at an advanced age (extreme controls), selected from a discovery set (n = 3631). We validated significant SNPs in 133 additional subjects with extreme phenotypes selected from databases including >39,000 individuals. Two SNPs were validated: rs12660420 (pcombined = 5.66 × 10−5; ORcombined = 2.80), mapping to a noncoding transcript exon of PDE10A; and rs6835978 (pcombined = 1.02 × 10−4; ORcombined = 2.57), an intronic variant in ATP10D. We assessed the relevance of both proteins in early‐stage NSCLC. PDE10A and ATP10DmRNA expressions correlated with survival in 821 stage I–II NSCLC patients (p = 0.01 and p < 0.0001). PDE10A protein expression correlated with survival in 149 patients with stage I–II NSCLC (p = 0.002). In conclusion, we validated two variants associated with extreme phenotypes of high and low risk of developing tobacco‐induced NSCLC. Our findings may allow to identify individuals presenting high and low risk to develop tobacco‐induced NSCLC and to characterize molecular mechanisms of carcinogenesis and resistance to develop NSCLC.
topic ATP10D
cancer risk
extreme phenotypes
genome‐wide association study
non‐small cell lung cancer
PDE10A
url https://doi.org/10.1002/cam4.1500
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spelling doaj-c3b285810a764be5ae798d81e210d99b2021-09-10T10:50:39ZengWileyCancer Medicine2045-76342018-07-01773474348310.1002/cam4.1500Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancerJuan Pablo Fusco0Guillermo Pita1María José Pajares2Maria Pilar Andueza3Ana Patiño‐García4Juan P. de‐Torres5Alfonso Gurpide6Javier Zulueta7Rosario Alonso8Nuria Alvarez9Ruben Pio10Ignacio Melero11Miguel F. Sanmamed12Maria Rodriguez Ruiz13Ignacio Gil‐Bazo14Jose María Lopez‐Picazo15Ciro Casanova16Rebeca Baz Davila17Antonio Agudo18Maria Dolores Lozano19Alvaro Gonzalez20Nuria Sala21Eva Ardanaz22Javier Benitez23Luis Montuenga24Anna Gonzalez‐Neira25Jose Luis Perez‐Gracia26Department of Oncology Clinica Universidad de Navarra Pamplona SpainHuman Genetics Group Spanish National Cancer Centre (CNIO) Madrid SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainDepartment of Oncology Clinica Universidad de Navarra Pamplona SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainDepartment of Oncology Clinica Universidad de Navarra Pamplona SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainHuman Genetics Group Spanish National Cancer Centre (CNIO) Madrid SpainHuman Genetics Group Spanish National Cancer Centre (CNIO) Madrid SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainDepartment of Oncology Clinica Universidad de Navarra Pamplona SpainDepartment of Oncology Clinica Universidad de Navarra Pamplona SpainDepartment of Oncology Clinica Universidad de Navarra Pamplona SpainDepartment of Oncology Clinica Universidad de Navarra Pamplona SpainPulmonary Department and Research Department Hospital Universitario La Candelaria Santa Cruz de Tenerife SpainResearch Unit Hospital Universitario La Candelaria Santa Cruz de Tenerife SpainUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology‐ICO IDIBELL Barcelona SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainUnit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology‐ICO IDIBELL Barcelona SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainHuman Genetics Group Spanish National Cancer Centre (CNIO) Madrid SpainHealth Research Institute of Navarra (IDISNA) Pamplona SpainHuman Genetics Group Spanish National Cancer Centre (CNIO) Madrid SpainDepartment of Oncology Clinica Universidad de Navarra Pamplona SpainAbstract Single nucleotide polymorphisms (SNPs) may modulate individual susceptibility to carcinogens. We designed a genome‐wide association study to characterize individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced non‐small cell lung cancer (NSCLC), and we validated our results. We hypothesized that this strategy would enrich the frequencies of the alleles that contribute to the observed traits. We genotyped 2.37 million SNPs in 95 extreme phenotype individuals, that is: heavy smokers that either developed NSCLC at an early age (extreme cases); or did not present NSCLC at an advanced age (extreme controls), selected from a discovery set (n = 3631). We validated significant SNPs in 133 additional subjects with extreme phenotypes selected from databases including >39,000 individuals. Two SNPs were validated: rs12660420 (pcombined = 5.66 × 10−5; ORcombined = 2.80), mapping to a noncoding transcript exon of PDE10A; and rs6835978 (pcombined = 1.02 × 10−4; ORcombined = 2.57), an intronic variant in ATP10D. We assessed the relevance of both proteins in early‐stage NSCLC. PDE10A and ATP10DmRNA expressions correlated with survival in 821 stage I–II NSCLC patients (p = 0.01 and p < 0.0001). PDE10A protein expression correlated with survival in 149 patients with stage I–II NSCLC (p = 0.002). In conclusion, we validated two variants associated with extreme phenotypes of high and low risk of developing tobacco‐induced NSCLC. Our findings may allow to identify individuals presenting high and low risk to develop tobacco‐induced NSCLC and to characterize molecular mechanisms of carcinogenesis and resistance to develop NSCLC.https://doi.org/10.1002/cam4.1500ATP10Dcancer riskextreme phenotypesgenome‐wide association studynon‐small cell lung cancerPDE10A