학술논문
Evaluation of pre-diagnostic blood protein measurements for predicting survival after lung cancer diagnosisResearch in context
Document Type
article
Author
Xiaoshuang Feng; David C. Muller; Hana Zahed; Karine Alcala; Florence Guida; Karl Smith-Byrne; Jian-Min Yuan; Woon-Puay Koh; Renwei Wang; Roger L. Milne; Julie K. Bassett; Arnulf Langhammer; Kristian Hveem; Victoria L. Stevens; Ying Wang; Mikael Johansson; Anne Tjønneland; Rosario Tumino; Mahdi Sheikh; Mattias Johansson; Hilary A. Robbins
Source
EBioMedicine, Vol 92, Iss , Pp 104623- (2023)
Subject
Language
English
ISSN
2352-3964
Abstract
Summary: Background: To evaluate whether circulating proteins are associated with survival after lung cancer diagnosis, and whether they can improve prediction of prognosis. Methods: We measured up to 1159 proteins in blood samples from 708 participants in 6 cohorts. Samples were collected within 3 years prior to lung cancer diagnosis. We used Cox proportional hazards models to identify proteins associated with overall mortality after lung cancer diagnosis. To evaluate model performance, we used a round-robin approach in which models were fit in 5 cohorts and evaluated in the 6th cohort. Specifically, we fit a model including 5 proteins and clinical parameters and compared its performance with clinical parameters only. Findings: There were 86 proteins nominally associated with mortality (p