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Dataset Information

Plasma metabolomic profile associated with fatigue in cancer patients.


ABSTRACT:

Background

Metabolomics is the newest -omics methodology and allows for a functional snapshot of the biochemical activity and cellular state. The goal of this study is to characterize metabolomic profiles associated with cancer-related fatigue, a debilitating symptom commonly reported by oncology patients.

Methods

Untargeted ultrahigh performance liquid chromatography/mass spectrometry metabolomics approach was used to identify metabolites in plasma samples collected from a total of 197 participants with or without cancer. Partial least squares-discriminant analysis (PLS-DA) was used to identify discriminant metabolite features, and diagnostic performance of selected classifiers was quantified using area under the receiver operating characteristics (AUROC) curve analysis. Pa

SUBMITTER: Feng LR 

PROVIDER: S-EPMC7940245 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature