ZNF671 methylation is a potential regression predictor of cervical intraepithelial neoplasia grade 3 in the colposcopy-to-conization interval
Related Experiment Video
Updated: Aug 10, 2026

Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
Yan Chen1, Xiang Li2, Puxiang Chen3
1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha 410008, PR China; Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, 110 Xiangya Road, Changsha 410078, PR China; Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, 110 Xiangya Road, Changsha 410078, PR China; National Clinical Research Center for Geriatric Disorders, 87 Xiangya Road, Changsha, Hunan 410008, PR China; Xiangya Medical Laboratory, Central South University, 110 Xiangya Road, Changsha 410078, PR China.
Objective:
Despite the high risk of cervical intraepithelial neoplasia grade 3 (CIN3) progressing to cervical cancer, approximately 50 percent of CIN3 lesions were overtreated. Furthermore, CIN3 patients who underwent surgery experienced complications and adverse obstetric outcomes. Therefore, exploring reliable biomarkers to differentiate regressing CIN3 lesions from persistent ones is imperative to preserve female fertility.
Methods:
This study evaluated the association between the methylation level of zinc finger protein 671 (ZNF671m) and the regression of CIN3 lesions by examining the postoperative pathology of the cones removed by cold knife conization (CKC) or loop electrosurgical excision procedure (LEEP).
Results:
In the analysis of 127 cervical scraping cells from CIN3 patients, negative ZNF671m results were significantly associated with downgraded postoperative pathology (OR = 0.225, 95 % CI: 0.084-0.599). Compared to the overall (CKC and LEEP) group, the predictive performance of ZNF671m in the CKC subgroup was improved by 58.7 % (OR = 0.093, 95 % CI: 0.018-0.480). Our results showed that the ZNF671m/cytology/HPV16/18 combination (OR = 0.033, 95 % CI: 0.003-0.376) improved the accuracy of detecting cervical intraepithelial neoplasia grade 1 or less (CIN1-) in the CKC subgroup. However, none of the tests could distinguish the postoperative pathology CIN1- from CIN2+ in the LEEP group.
Conclusion:
These results support that ZNF671m has the potential to predict the regression of CIN3 lesions, and the improved predictive performance of the ZNF671m/cytology/HPV16/18 combination may inform individualized treatment of CIN3 patients planning to undergo CKC.

