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Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051154/ https://www.ncbi.nlm.nih.gov/pubmed/29766673 http://dx.doi.org/10.1002/cam4.1500 |
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author | Fusco, Juan Pablo Pita, Guillermo Pajares, María José Andueza, Maria Pilar Patiño‐García, Ana de‐Torres, Juan P. Gurpide, Alfonso Zulueta, Javier Alonso, Rosario Alvarez, Nuria Pio, Ruben Melero, Ignacio Sanmamed, Miguel F. Rodriguez Ruiz, Maria Gil‐Bazo, Ignacio Lopez‐Picazo, Jose María Casanova, Ciro Baz Davila, Rebeca Agudo, Antonio Lozano, Maria Dolores Gonzalez, Alvaro Sala, Nuria Ardanaz, Eva Benitez, Javier Montuenga, Luis Gonzalez‐Neira, Anna Perez‐Gracia, Jose Luis |
author_facet | Fusco, Juan Pablo Pita, Guillermo Pajares, María José Andueza, Maria Pilar Patiño‐García, Ana de‐Torres, Juan P. Gurpide, Alfonso Zulueta, Javier Alonso, Rosario Alvarez, Nuria Pio, Ruben Melero, Ignacio Sanmamed, Miguel F. Rodriguez Ruiz, Maria Gil‐Bazo, Ignacio Lopez‐Picazo, Jose María Casanova, Ciro Baz Davila, Rebeca Agudo, Antonio Lozano, Maria Dolores Gonzalez, Alvaro Sala, Nuria Ardanaz, Eva Benitez, Javier Montuenga, Luis Gonzalez‐Neira, Anna Perez‐Gracia, Jose Luis |
author_sort | Fusco, Juan Pablo |
collection | PubMed |
description | 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 (p (combined )= 5.66 × 10(−5); OR (combined )= 2.80), mapping to a noncoding transcript exon of PDE10A; and rs6835978 (p (combined )= 1.02 × 10(−4); OR (combined )= 2.57), an intronic variant in ATP10D. We assessed the relevance of both proteins in early‐stage NSCLC. PDE10A and ATP10D mRNA 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. |
format | Online Article Text |
id | pubmed-6051154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60511542018-07-20 Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer Fusco, Juan Pablo Pita, Guillermo Pajares, María José Andueza, Maria Pilar Patiño‐García, Ana de‐Torres, Juan P. Gurpide, Alfonso Zulueta, Javier Alonso, Rosario Alvarez, Nuria Pio, Ruben Melero, Ignacio Sanmamed, Miguel F. Rodriguez Ruiz, Maria Gil‐Bazo, Ignacio Lopez‐Picazo, Jose María Casanova, Ciro Baz Davila, Rebeca Agudo, Antonio Lozano, Maria Dolores Gonzalez, Alvaro Sala, Nuria Ardanaz, Eva Benitez, Javier Montuenga, Luis Gonzalez‐Neira, Anna Perez‐Gracia, Jose Luis Cancer Med Cancer Prevention 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 (p (combined )= 5.66 × 10(−5); OR (combined )= 2.80), mapping to a noncoding transcript exon of PDE10A; and rs6835978 (p (combined )= 1.02 × 10(−4); OR (combined )= 2.57), an intronic variant in ATP10D. We assessed the relevance of both proteins in early‐stage NSCLC. PDE10A and ATP10D mRNA 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. John Wiley and Sons Inc. 2018-05-15 /pmc/articles/PMC6051154/ /pubmed/29766673 http://dx.doi.org/10.1002/cam4.1500 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Cancer Prevention Fusco, Juan Pablo Pita, Guillermo Pajares, María José Andueza, Maria Pilar Patiño‐García, Ana de‐Torres, Juan P. Gurpide, Alfonso Zulueta, Javier Alonso, Rosario Alvarez, Nuria Pio, Ruben Melero, Ignacio Sanmamed, Miguel F. Rodriguez Ruiz, Maria Gil‐Bazo, Ignacio Lopez‐Picazo, Jose María Casanova, Ciro Baz Davila, Rebeca Agudo, Antonio Lozano, Maria Dolores Gonzalez, Alvaro Sala, Nuria Ardanaz, Eva Benitez, Javier Montuenga, Luis Gonzalez‐Neira, Anna Perez‐Gracia, Jose Luis Genomic characterization of individuals presenting extreme phenotypes of high and low risk to develop tobacco‐induced lung cancer |
title | 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_short | 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 |
topic | Cancer Prevention |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6051154/ https://www.ncbi.nlm.nih.gov/pubmed/29766673 http://dx.doi.org/10.1002/cam4.1500 |
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