TP53 expression in PCAT in coronary artery disease combined with type 2 diabetes mellitus and its correlation with CCTA radiomic features: novel imaging biomarkers

<i>TP53</i> expression was significantly elevated in the PCAT of patients with CAD combined with T2DM, suggesting that this molecule plays a role in the development of this disease. Four first-order features and 10 texture features in the PCAT radiomic features were associated with abnormal <i>TP53</i> expression. The association of radiomic features with <i>TP53</i> suggests that CCTA-based radiomic features can be used to predict abnormalities in differential gene expression, thus providing a new way to noninvasively predict CAD combined with T2DM.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2025-09-22
DOI
https://doi.org/10.3389/fmed.2025.1626390
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TP53 expression in PCAT in coronary artery disease combined with type 2 diabetes mellitus and its correlation with CCTA radiomic features: novel imaging biomarkers

Yan Xing, Haicheng Qi, Yan Li, Xiumei Li et al.
Frontiers in Medicine
Cardiovascular Disease and Adiposity
article

TP53 expression in PCAT in coronary artery disease combined with type 2 diabetes mellitus and its correlation with CCTA radiomic features: novel imaging biomarkers

Yan Xing, Haicheng Qi, Yan Li, Xiumei Li, Ya‐Hui Hu
article en

Abstract

<i>TP53</i> expression was significantly elevated in the PCAT of patients with CAD combined with T2DM, suggesting that this molecule plays a role in the development of this disease. Four first-order features and 10 texture features in the PCAT radiomic features were associated with abnormal <i>TP53</i> expression. The association of radiomic features with <i>TP53</i> suggests that CCTA-based radiomic features can be used to predict abnormalities in differential gene expression, thus providing a new way to noninvasively predict CAD combined with T2DM.

Frontiers in MedicineVol. 12
Xinjiang Medical University (CN), First Affiliated Hospital of Xinjiang Medical University (CN), Anyang Hospital of Traditional Chinese Medicine (CN)
National Natural Science Foundation of China, Xinjiang Medical University
Openalex Percentile: Top 61%
Cardiovascular Disease and Adiposity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.