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Dataset Information

Evaluation of pre-diagnostic blood protein measurements for predicting survival after lung cancer diagnosis.


ABSTRACT:

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 mo

SUBMITTER: Feng X 

PROVIDER: S-EPMC10232655 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature