Ontology highlight
ABSTRACT: Importance
There is an urgent need to improve lung cancer risk assessment because current screening criteria miss a large proportion of cases.Objective
To investigate whether a lung cancer risk prediction model based on a panel of selected circulating protein biomarkers can outperform a traditional risk prediction model and current US screening criteria.Design, setting, and participants
Prediagnostic samples from 108 ever-smoking patients with lung cancer diagnosed within 1 year after blood collection and samples from 216 smoking-matched controls from the Carotene and Retinol Efficacy Trial (CARET) cohort were used to develop a biomarker risk score based on 4 proteins (cancer antigen 125 [CA125], carcinoembryonic antigen [CEA], cytokeratin-19 fragment [CYFRA 21-1],
SUBMITTER: Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium for Early Detection of Lung Cancer
PROVIDER: S-EPMC6233784 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature