Multi-omics profiling reveals the role of 4-ethylbenzoic acid in promoting proliferation and invasion of cervical cancer

This multi-omics investigation identified 4-EA as a novel candidate metabolite and a potential biomarker of CC. Identification of key proteins may provide new insights for interventions targeting the development of CC.

Authors

Institutions

Publication Details

Journal
Frontiers in Medicine
Published
2025-10-13
DOI
https://doi.org/10.3389/fmed.2025.1591531
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Multi-omics profiling reveals the role of 4-ethylbenzoic acid in promoting proliferation and invasion of cervical cancer

Zhaoning Duan, Shan Lu, Xiaoge Li, Ying Jia et al.
Frontiers in Medicine
Metabolomics and Mass Spectrometry Studies
article

Multi-omics profiling reveals the role of 4-ethylbenzoic acid in promoting proliferation and invasion of cervical cancer

Zhaoning Duan, Shan Lu, Xiaoge Li, Ying Jia, Xiaoling Huang, Ming Luo, Qiao Zu, Jin Wu
article en

Abstract

This multi-omics investigation identified 4-EA as a novel candidate metabolite and a potential biomarker of CC. Identification of key proteins may provide new insights for interventions targeting the development of CC.

Frontiers in MedicineVol. 12
The Affiliated Yongchuan Hospital of Chongqing Medical University (CN), Zhengzhou Central Hospital (CN), Chongqing Medical University (CN)
Chongqing Medical University
Openalex Percentile: Top 74%
Metabolomics and Mass Spectrometry Studies
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.