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Dataset Information

Six-SOMAmer Index Relating to Immune, Protease and Angiogenic Functions Predicts Progression in IPF.


ABSTRACT:

Rationale

Biomarkers in easily accessible compartments like peripheral blood that can predict disease progression in idiopathic pulmonary fibrosis (IPF) would be clinically useful regarding clinical trial participation or treatment decisions for patients. In this study, we used unbiased proteomics to identify relevant disease progression biomarkers in IPF.

Methods

Plasma from IPF patients was measured using an 1129 analyte slow off-rate modified aptamer (SOMAmer) array, and patient outcomes were followed over the next 80 weeks. Receiver operating characteristic (ROC) curves evaluated sensitivity and specificity for levels of each biomarker and estimated area under the curve (AUC) when prognostic biomarker thresholds were used to predict disease progression. Both logistic and

SUBMITTER: Ashley SL 

PROVIDER: S-EPMC4973878 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature