PAX1 and SEPT9 methylation analyses in cervical exfoliated cells are highly efficient for detecting cervical (pre)cancer in hrHPV-positive women

医学 宫颈癌 甲基化 宫颈癌 宫颈癌筛查 产科 妇科 肿瘤科 癌症 内科学 基因 遗传学 生物
作者
Lulu He,Xiping Luo,Qiaowen Bu,Jing Jin,Shuai Zhou,Shaoyi He,Liang Zhang,Lin Yu,Xiaoshan Hong
出处
期刊:Journal of Obstetrics and Gynaecology [Informa]
卷期号:43 (1) 被引量:7
标识
DOI:10.1080/01443615.2023.2179916
摘要

Studies have investigated PAX1 and SEPT methylation were closely associated with cervical cancer. For this study, we verified the expressions of PAX1 and SEPT9 methylation in 236 hrHPV women cervical exfoliated cells by using quantitative methylation-specific PCR and we further explored their diagnostic value in cervical (pre)cancer detection. Our results identified that the methylation rates and levels of PAX1 and SEPT9 increased with cervical lesion severity. For a diagnosis of cervical (pre)cancer, the area under the curve (AUC) of PAX1 methylation was 0.77 (95% CI 0.71-0.83) and the AUC of SEPT9 methylation was 0.86 (95% CI 0.81∼0.90). Analyses of the PAX1 and SEPT9 methylation statuses alone or combined with commonly used tests can efficiently identify cervical (pre)cancer. In particular, SEPT9 methylation might serve as an effective and powerful biomarker for the diagnosis of cervical (pre)cancer and as an alternative triage test in HPV-based cervical (pre)cancer screening programs.Impact StatementWhat is already known on this subject? This subject showed that PAX1 and SEPT9 methylation were closely associated with cervical cancer. The methylation rates and levels of PAX1 and SEPT9 increased with cervical lesion severity and reached a peak in cervical cancer exfoliated cells. We further assessed the diagnostic performances of PAX1 and SEPT9 methylation in cervical cancer screening. In detecting cervical (pre)cancer, the sensitivity values of PAX1 and SEPT9 methylation were up to 61.18% and 82.35%, respectively, and the specificity values of PAX1 and SEPT9 methylation were up to 95.36% and 86.75%, respectively. Moreover, the ROC curve analysis showed AUC values of 0.77 for PAX1 methylation and 0.86 for SEPT9 methylation tests, which were significantly superior to other commonly used tests. These findings suggest that PAX1 and SEPT9 methylation detection may have great clinical potential in cervical cancer screening.What the results of this study add? The rates and levels of PAX1 and SEPT9 methylation increased with the severity of the cervical lesions. For a diagnosis of cervical (pre)cancer, the area under the curve (AUC) of PAX1 methylation was 0.77 (95% CI 0.71-0.83), and the sensitivity and specificity values were 61.18% and 95.36%, respectively. The AUC value of the SEPT9 methylation was 0.86 (95% CI 0.81 ∼ 0.90), and the sensitivity and specificity values were 82.35% and 86.75%, respectively. Compared with the various tests we conducted, the PAX1 methylation showed the highest specificity (95.36%), and the SEPT9 methylation demonstrated the highest accuracy(86.00%).What the implications are of these findings for clinical practice and/or further research? The methylation levels of PAX1 and SEPT9 had a certain predictive effect on the severity of cervical lesions in hrHPV-positive women. In addition, SEPT9 methylation analysis performs better than PAX1 methylation analysis and commonly used tests in cervical exfoliated cells for detecting cervical (pre)cancer in hrHPV-positive women. SEPT9 methylation analysis merits consideration as an effective and objective, alternative triage test in HPV-based cervical (pre)cancer screening programs.
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
天天快乐应助ln采纳,获得30
1秒前
水告完成签到,获得积分10
1秒前
沙糖桔完成签到,获得积分10
3秒前
贪玩夏之发布了新的文献求助10
3秒前
共享精神应助aaa材料采纳,获得10
4秒前
4秒前
bkagyin应助啾咪采纳,获得10
5秒前
5秒前
LL完成签到,获得积分10
6秒前
6秒前
yuzi发布了新的文献求助10
7秒前
慕青应助卧虎采纳,获得10
7秒前
yunmm完成签到,获得积分10
7秒前
CipherSage应助1192237414采纳,获得10
9秒前
所所应助阿忠采纳,获得10
9秒前
9秒前
koss完成签到,获得积分10
9秒前
在水一方应助科研通管家采纳,获得10
9秒前
脑洞疼应助科研通管家采纳,获得10
9秒前
ljh发布了新的文献求助10
10秒前
wocc应助科研通管家采纳,获得10
10秒前
Syening应助科研通管家采纳,获得10
10秒前
慕青应助科研通管家采纳,获得10
10秒前
SciGPT应助科研通管家采纳,获得10
10秒前
10秒前
yunmm发布了新的文献求助10
10秒前
慕青应助科研通管家采纳,获得10
10秒前
情怀应助科研通管家采纳,获得10
11秒前
Syening应助科研通管家采纳,获得10
11秒前
在水一方应助科研通管家采纳,获得10
11秒前
大个应助科研通管家采纳,获得10
11秒前
乐乐应助科研通管家采纳,获得10
11秒前
我小怂怂006完成签到 ,获得积分10
11秒前
英姑应助科研通管家采纳,获得10
11秒前
Syening应助科研通管家采纳,获得10
12秒前
知性的白昼完成签到 ,获得积分10
12秒前
小蘑菇应助科研通管家采纳,获得10
12秒前
所所应助科研通管家采纳,获得10
12秒前
在水一方应助科研通管家采纳,获得10
12秒前
烟花应助科研通管家采纳,获得10
12秒前
高分求助中
(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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
A Psychological Understanding of Criticism and Mental Health 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 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 7752399
求助须知:如何正确求助?哪些是违规求助? 9299500
关于积分的说明 20252744
捐赠科研通 7334666
什么是DOI,文献DOI怎么找? 3310265
关于科研通互助平台的介绍 2461604
邀请新用户注册赠送积分活动 2323001