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
Schmid Sabine, Jiang Mei, Brown M Catherine, Fares Aline, Garcia Miguel, Soriano Joelle, Dong Mei, Thomas Sera, Kohno Takashi, Leal Leticia Ferro, Diao Nancy, Xie Juntao, Wang Zhichao, Zaridze David, Holcatova Ivana, Lissowska Jolanta, Świątkowska Beata, Mates Dana, Savic Milan, Wenzlaff Angela S, Harris Curtis C, Caporaso Neil, Ma Hongxia, Fernandez-Tardon Guillermo, Barnett Matthew J, Goodman Gary, Davies Michael P A, Pérez-Ríos Mónica, Taylor Fiona, Duell Eric J, Schoettker Ben, Brenner Hermann, Andrew Angeline, Cox Angela, Ruano-Ravina Alberto, Field John K, Marchand Loic Le, Wang Yingbo, Chen Chu, Tardon Adonina, Shete Sanjay, Schabath Matthew B, Shen Hongbing, Landi Maria Teresa, Ryan Brid M, Schwartz Ann G, Qi Lihong, Sakoda Lori C, Brennan Paul, Yang Ping, Zhang Jie, Christiani David C, Reis Rui Manuel, Shiraishi Kouya, Hung Rayjean J, Xu Wei, Liu Geoffrey
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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.