Evidence map›Paper›PMID 33889513›Full record

ArticleTranslational lung cancer research2021

Whole exome sequencing characterization of individuals presenting extreme phenotypes of high and low risk of developing tobacco-induced lung adenocarcinoma.

Ana Patiño-García, Elizabeth Guruceaga, Victor Segura, Rodrigo Sánchez Bayona, Maria Pilar Andueza, Ibon Tamayo Uria, Guillermo Serrano, Juan Pablo Fusco, María José Pajares, Alfonso Gurpide and 13 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Lung-MAP Next-Generation Sequencing Analysis of Advanced Squamous Cell Lung Cancers (SWOG S1400).Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024
    Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Ana Patiño-GarcíaDepartment of Pediatrics and Clinical Genetics, Clinica Universidad de Navarra, Pamplona, Spain.
Elizabeth GuruceagaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Victor SeguraHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Rodrigo Sánchez BayonaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Maria Pilar AnduezaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Ibon Tamayo UriaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Guillermo SerranoHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Juan Pablo FuscoDepartment of Medical Oncology, GenesisCare, Madrid, Spain.
María José PajaresBiochemistry Area, Department of Health Science, Public University of Navarre, Pamplona, Spain.
Alfonso GurpideHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Marimar OcónHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Miguel F SanmamedHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Maria Rodriguez RuizHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Ignacio MeleroHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Maria Dolores LozanoHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Carlos de AndreaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Guillermo PitaHuman Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Anna Gonzalez-NeiraHuman Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Alvaro GonzalezHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Javier J ZuluetaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Luis M MontuengaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Ruben PioHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.
Jose Luis Perez-GraciaHealth Research Institute of Navarra (IdisNA), Pamplona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTobacco is the main risk factor for developing lung cancer. Yet, some heavy smokers do not develop lung cancer at advanced ages while others develop it at young ages. Here, we assess for the first time the genetic background of these clinically relevant extreme phenotypes using whole exome sequencing (WES).

methodsWe performed WES of germline DNA from heavy smokers who either developed lung adenocarcinoma at an early age (extreme cases, n=50) or did not present lung adenocarcinoma or other tumors at an advanced age (extreme controls, n=50). We selected non-synonymous variants located in exonic regions and consensus splice sites of the genes that showed significantly different allelic frequencies between both cohorts. We validated our results in all the additional extreme cases (i.e., heavy smokers who developed lung adenocarcinoma at an early age) available from The Cancer Genome Atlas (TCGA).

resultsThe mean age for the extreme cases and controls was respectively 49.7 and 77.5 years. Mean tobacco consumption was 43.6 and 56.8 pack-years. We identified 619 significantly different variants between both cohorts, and we validated 108 of these in extreme cases selected from TCGA. Nine validated variants, located in relevant cancer related genes, such as

conclusionsWe describe genetic variants associated with extreme phenotypes of high and low risk for the development of tobacco-induced lung adenocarcinoma. Our results and our strategy may help to identify high-risk subjects and to develop new therapeutic approaches.

Indexed as

ALPK2Cancer riskextreme phenotypesHLA-Alung adenocarcinomaNOQ1PARP4tobaccowhole exome sequencing (WES)

Identifiers

PMID33889513
PMCPMC8044482

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.