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

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

Summary: Background: Tobacco is the main risk factor for developing lung cancer. Yet, while some heavy smokers develop lung cancer at a young age, other heavy smokers never develop it, even at an advanced age, suggesting a remarkable variability in the individual susceptibility to the carcinogenic...

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Main Authors: Ana Patiño-García, Elizabeth Guruceaga, Maria Pilar Andueza, Marimar Ocón, Jafait Junior Fodop Sokoudjou, Nicolás de Villalonga Zornoza, Gorka Alkorta-Aranburu, Ibon Tamayo Uria, Alfonso Gurpide, Carlos Camps, Eloísa Jantus-Lewintre, Maria Navamuel-Andueza, Miguel F. Sanmamed, Ignacio Melero, Mohamed Elgendy, Juan Pablo Fusco, Javier J. Zulueta, Juan P. de-Torres, Gorka Bastarrika, Luis Seijo, Ruben Pio, Luis M. Montuenga, Mikel Hernáez, Idoia Ochoa, Jose Luis Perez-Gracia
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:EBioMedicine
Subjects:
Cancer risk
Extreme phenotypes
Whole exome sequencing
Tobacco
Lung adenocarcinoma
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396424000835

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http://www.sciencedirect.com/science/article/pii/S2352396424000835

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