Analysis of the diagnostic performance of PAX1/SOX1 gene methylation in cervical precancerous lesions and its role in triage diagnosis

DNA甲基化 医学 甲基化 病毒学 急诊分诊台 生物 基因 遗传学 基因表达 医疗急救
作者
Chunli Fan,Junbo Hu,Ting Luo,Binhua Dong,Hongying Li,Weipeng Wang,Jiong Yan,Hongning Cai
出处
期刊:Journal of Medical Virology [Wiley]
卷期号:96 (5) 被引量:8
标识
DOI:10.1002/jmv.29521
摘要

Methylation panels, tools for investigating epigenetic changes associated with diseases like cancer, can identify DNA methylation patterns indicative of disease, providing diagnostic or prognostic insights. However, the application of methylation panels focusing on the sex-determining region Y-box 1 (SOX1) and paired box gene 1 (PAX1) genes for diagnosing cervical lesions is under-researched. This study aims to examine the diagnostic performance of PAX1/SOX1 gene methylation as a marker for cervical precancerous lesions and its potential application in triage diagnosis. From September 2022 to April 2023, 181 patients with abnormal HPV-DNA tests or cytological exam results requiring colposcopy were studied at Hubei Maternal and Child Health Hospital, China. Data were collected from colposcopy, cytology, HPV-DNA tests, and PAX1/SOX1 methylation detection. Patients were categorized as control, cervical intraepithelial neoplasia Grade 1 (CIN1), Grade 2 (CIN2), Grade 3 (CIN3), and cervical cancer (CC) groups based on histopathology. We performed HPV testing, liquid-based cytology, and PAX1/SOX1 gene methylation testing. We evaluated the diagnostic value of methylation detection in cervical cancer using DNA methylation positivity rate, sensitivity, specificity, and area under the curve (AUC), and explored its potential for triage diagnosis. PAX1/SOX1 methylation positivity rates were: control 17.1%, CIN1 22.5%, CIN2 100.0%, CIN3 90.0%, and CC 100.0%. The AUC values for PAX1 gene methylation detection in diagnosing CIN1+, CIN2+, and CIN3+ were 0.52 (95% confidence interval [CI]: 0.43-0.62), 0.88 (95% CI: 0.80-0.97), and 0.88 (95% CI: 0.75-1.00), respectively. Corresponding AUC values for SOX1 gene methylation detection were 0.47 (95% CI: 0.40-0.58), 0.80 (95% CI: 0.68-0.93), and 0.92 (95% CI: 0.811-1.00), respectively. In HPV16/18-negative patients, methylation detection showed sensitivity of 32.4% and specificity of 83.7% for CIN1+. For CIN2+ and CIN3+, sensitivity was all 100%, with specificities of 83.0% and 81.1%. Among the patients who underwent colposcopy examination, 166 cases had cytological examination results ≤ASCUS, of which 37 cases were positive for methylation, and the colposcopy referral rate was 22.29%. PAX1/SOX1 gene methylation detection exhibits strong diagnostic efficacy for cervical precancerous lesions and holds significant value in triage diagnosis.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
Healer完成签到,获得积分10
3秒前
chenchen完成签到,获得积分10
3秒前
深情的鞯完成签到,获得积分10
3秒前
4秒前
心灵美绝施完成签到,获得积分10
4秒前
5秒前
王志新完成签到 ,获得积分10
8秒前
mumu0203完成签到,获得积分20
9秒前
江霭完成签到,获得积分10
9秒前
钟爱小奏完成签到,获得积分10
10秒前
fn完成签到,获得积分10
11秒前
小朱同学完成签到,获得积分10
11秒前
whx完成签到,获得积分10
14秒前
小杜完成签到,获得积分10
14秒前
16秒前
和谐的万宝路完成签到,获得积分10
16秒前
舒懿铭完成签到,获得积分10
16秒前
靓丽的悒完成签到 ,获得积分10
17秒前
永远的得胜同志完成签到,获得积分10
18秒前
wangliang0329完成签到,获得积分10
19秒前
快乐谷蓝完成签到,获得积分10
19秒前
微笑成风完成签到,获得积分10
20秒前
开心向真完成签到,获得积分10
21秒前
21秒前
nhmxk发布了新的文献求助10
22秒前
pmsl完成签到,获得积分10
23秒前
呆萌的青烟完成签到,获得积分10
23秒前
大角牛完成签到,获得积分10
23秒前
大大怪将军完成签到,获得积分10
26秒前
细腻初雪发布了新的文献求助10
26秒前
29秒前
皮皮杰发布了新的文献求助10
30秒前
orixero应助lily采纳,获得10
31秒前
Brenna完成签到 ,获得积分10
31秒前
32秒前
科研人科研魂完成签到,获得积分10
33秒前
hiraabb完成签到 ,获得积分10
33秒前
缓慢念波发布了新的文献求助10
35秒前
王哈哈完成签到,获得积分10
35秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
Matrix Methods in Data Mining and Pattern Recognition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7204922
求助须知:如何正确求助?哪些是违规求助? 8838548
关于积分的说明 18652393
捐赠科研通 6852113
什么是DOI,文献DOI怎么找? 3180358
关于科研通互助平台的介绍 2338888
邀请新用户注册赠送积分活动 2154767