Publikation

Accounting for EGFR Mutations in Epidemiologic Analyses of Non-Small Cell Lung Cancers: Examples Based on the International Lung Cancer Consortium Data.

Wissenschaftlicher Artikel/Review - 01.03.2022

Bereiche
PubMed
DOI
Kontakt

Zitation
Schmid S, Jiang M, Brown M, Fares A, Garcia M, Soriano J, Dong M, Thomas S, Kohno T, Leal L, Diao N, Xie J, Wang Z, Zaridze D, Holcatova I, Lissowska J, Świątkowska B, Mates D, Savic M, Wenzlaff A, Harris C, Caporaso N, Ma H, Fernandez-Tardon G, Barnett M, Goodman G, Davies M, Pérez-Ríos M, Taylor F, Duell E, Schoettker B, Brenner H, Andrew A, Cox A, Ruano-Ravina A, Field J, Marchand L, Wang Y, Chen C, Tardon A, Shete S, Schabath M, Shen H, Landi M, Ryan B, Schwartz A, Qi L, Sakoda L, Brennan P, Yang P, Zhang J, Christiani D, Reis R, Shiraishi K, Hung R, Xu W, Liu G. Accounting for EGFR Mutations in Epidemiologic Analyses of Non-Small Cell Lung Cancers: Examples Based on the International Lung Cancer Consortium Data. Cancer Epidemiol Biomarkers Prev 2022; 31:679-687.
Art
Wissenschaftlicher Artikel/Review (Englisch)
Zeitschrift
Cancer Epidemiol Biomarkers Prev 2022; 31
Veröffentlichungsdatum
01.03.2022
eISSN (Online)
1538-7755
Seiten
679-687
Kurzbeschreibung/Zielsetzung

Somatic EGFR mutations define a subset of non-small cell lung cancers (NSCLC) that have clinical impact on NSCLC risk and outcome. However, EGFR-mutation-status is often missing in epidemiologic datasets. We developed and tested pragmatic approaches to account for EGFR-mutation-status based on variables commonly included in epidemiologic datasets and evaluated the clinical utility of these approaches.