Article
Integrating genomic features for non-invasive early lung cancer detection.
Nature - 1 Apr 2020
Chabon Jacob J, Hamilton Emily G, Kurtz David M, Esfahani Mohammad S, Moding Everett J, Stehr Henning, Schroers-Martin Joseph, Nabet Barzin Y, Chen Binbin, Chaudhuri Aadel A, Liu Chih Long, Hui Angela B, Jin Michael C, Azad Tej D, Almanza Diego, Jeon Young-Jun, Nesselbush Monica C, Co Ting Keh Lyron, Bonilla Rene F, Yoo Christopher H, Ko Ryan B, Chen Emily L, Merriott David J, Massion Pierre P, Mansfield Aaron S, Jen Jin, Ren Hong Z, Lin Steven H, Costantino Christina L, Burr Risa, Tibshirani Robert, Gambhir Sanjiv S, Berry Gerald J, Jensen Kristin C, West Robert B, Neal Joel W, Wakelee Heather A, Loo Billy W, Kunder Christian A, Leung Ann N, Lui Natalie S, Berry Mark F, Shrager Joseph B, Nair Viswam S, Haber Daniel A, Sequist Lecia V, Alizadeh Ash A, Diehn Maximilian
Abstract excerpt
Radiologic screening of high-risk adults reduces lung-cancer-related mortality1,2; however, a small minority of eligible individuals undergo such screening in the United States3,4. The availability of blood-based tests could increase screening uptake. Here we introduce improvements to cancer personalized profiling by deep sequencing (CAPP-Seq)5, a method for the analysis of circulating tumour DNA (ctDNA), to...
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