Discovery of plasma proteins and metabolites associated with left ventricular cardiac dysfunction in pan-cancer patients.

ABSTRACT:

Background

Cancer-therapy related cardiac dysfunction (CTRCD) remains a significant cause of morbidity and mortality in cancer survivors. In this study, we aimed to identify differential plasma proteins and metabolites associated with left ventricular dysfunction (LVD) in cancer patients.

Methods

We analyzed data from 50 patients referred to the Cleveland Clinic Cardio-Oncology Center for echocardiograph assessment, integrating electronic health records, proteomic, and metabolomic profiles. LVD was defined as an ejection fraction ≤ 55% based on echocardiographic evaluation. Classification-based machine learning models were used to predict LVD using plasma metabolites and proteins as input features.

Results

We identified 13 plasma proteins (P < 0.05) and 14 plasma meta

SUBMITTER: Lal JC 

PROVIDER: S-EPMC11823021 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature