Whole exome sequencing and machine learning germline analysis of individuals presenting with extreme phenotypes of high and low risk of developing tobacco-associated lung adenocarcinoma-Reference-Cited by-同舟云学术

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Whole exome sequencing and machine learning germline analysis of individuals presenting with extreme phenotypes of high and low risk of developing tobacco-associated lung adenocarcinoma

Published:2024-04 Issue: Volume:102 Page:105048
ISSN:2352-3964
Container-title:eBioMedicine
language:en
Short-container-title:eBioMedicine

Author:

Patiño-García Ana^ORCID,Guruceaga Elizabeth,Andueza Maria Pilar,Ocón Marimar,Fodop Sokoudjou Jafait Junior,de Villalonga Zornoza Nicolás,Alkorta-Aranburu Gorka,Uria Ibon Tamayo,Gurpide Alfonso,Camps Carlos,Jantus-Lewintre Eloísa,Navamuel-Andueza Maria,Sanmamed Miguel F.,Melero Ignacio,Elgendy Mohamed,Fusco Juan Pablo,Zulueta Javier J.,de-Torres Juan P.,Bastarrika Gorka,Seijo Luis,Pio Ruben,Montuenga Luis M.,Hernáez Mikel,Ochoa Idoia^ORCID,Perez-Gracia Jose Luis^ORCID

Funder

Spanish Society of Medical Oncology

Gipuzkoa Provincial Council

F Hoffmann-La Roche Ltd

European Research Council

Carlos III Health Institute

Ministerio de Ciencia e Innovación

Publisher

Elsevier BV

Reference30 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J Clin,2021

2. Cancer and smoking habits;Hoffman;Ann Surg,1931

3. Tabakmißbrauch und Lungencarcinom;Müller;Z Krebsforsch,1939

4. Risk prediction models for lung cancer: a systematic review;Gray;Clin Lung Cancer,2016

5. Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models;Liao;Lancet Respir Med,2023

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