A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer

The present study demonstrated the methylation levels of 12 cervical cancer-related genes were higher in Chinese patients with HSIL or cervical cancer. Also, a predictive model was constructed to distinguish cervical cancer or HSCL from individuals with low risk.

Authors

Institutions

Publication Details

Journal
International Journal of Women s Health
Published
2025-03-01
DOI
https://doi.org/10.2147/ijwh.s494703
Citations
3
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
4.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer

Hui Ding, Zhonghe Ke, Hui Xiong, Xiao Xiao et al.
3 citations
International Journal of Women s Health
Cervical Cancer and HPV Research
4.06
article

A Predictive Model Using Six Genes DNA Methylation Markers to Identify Individuals With High Risks of High-Grade Squamous Intraepithelial Lesions and Cervical Cancer

Hui Ding, Zhonghe Ke, Hui Xiong, Xiao Xiao, Beibei Xin, Lu Wen
article en
3 citations

Abstract

The present study demonstrated the methylation levels of 12 cervical cancer-related genes were higher in Chinese patients with HSIL or cervical cancer. Also, a predictive model was constructed to distinguish cervical cancer or HSCL from individuals with low risk.

International Journal of Women s HealthVol. Volume 17
Changchun University of Science and Technology (CN), Tongji University (CN), Shanghai CASB Biotechnology (China) (CN), Shanghai First Maternity and Infant Hospital (CN), Changchun University (CN)
Openalex Percentile: Top 7%
Cervical Cancer and HPV Research
4.06
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.