GC-MS-based untargeted metabolic profiling of malignant mesothelioma plasma.

ABSTRACT:

Background

Malignant mesothelioma (MM) is a cancer caused mainly by asbestos exposure, and is aggressive and incurable. This study aimed to identify differential metabolites and metabolic pathways involved in the pathogenesis and diagnosis of malignant mesothelioma.

Methods

By using gas chromatography-mass spectrometry (GC-MS), this study examined the plasma metabolic profile of human malignant mesothelioma. We performed univariate and multivariate analyses and pathway analyses to identify differential metabolites, enriched metabolism pathways, and potential metabolic targets. The area under the receiver-operating curve (AUC) criterion was used to identify possible plasma biomarkers.

Results

Using samples from MM (n = 19) and healthy control (n = 22) par

SUBMITTER: Wang D 

PROVIDER: S-EPMC10200095 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature