Dataset for Elevated Metastasis-Associated Lung Adenocarcinoma Transcript 1 (MALAT1) Expression Predicts Coronary Artery Disease Severity as a Potential Biomarker for Risk Stratification

Coronary artery disease (CAD) remains a major global health burden, and current clinical tools offer limited precision for early risk assessment and stratification. Long non-coding RNAs have emerged as potential molecular indicators of cardiovascular pathology. This study examined whether circulating Metastasis-Associated Lung Adenocarcinoma Transcript 1 (MALAT1) is associated with the presence and severity of CAD, with the aim of evaluating its potential as a non-invasive biomarker. In this cross-sectional study, 179 participants undergoing coronary angiography were enrolled, including 84 with angiographically confirmed CAD and 95 without CAD. Coronary lesion severity was assessed using the Gensini score and categorized as non-CAD, non-complex CAD, or complex CAD. Circulating MALAT1 expression was quantified by qPCR. Correlation analyses, hierarchical logistic regression, ordinal logistic regression, and ROC analyses were applied to evaluate the associations between MALAT1, CAD risk, and CAD severity.