Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Study of Molecular-targeted Therapy Using Zinc Finger Nuclease in Cervical Precancerous Lesions

Huazhong University of Science and Technology · 2016
ClinicalTrials.gov · Datasets · License: Public Domain · 2016
Open Source ↗
cervical-intraepithelial-neoplasiahuman-papillomavirus
This research study is being carried out to study a new way to possibly treat human cervical intraepithelial neoplasia (CIN) without invasion. Persistent infection with specific types of human papillomavirus (HPV, most frequently types 16 and 18) may lead to precancerous lesions(CIN). If untreated, these lesions may progress to cervical cancer within many years. In the infected cells, HPV expresses the oncoproteins E6 and E7, both of which play key roles in maintaining viral infection and promoting carcinogenesis. Previous studies has demonstrated that E7 alone, but not E6, is sufficient to immortalize human keratinocytes in vitro and induce high-grade cervical dysplasia in a transgenic mouse model. These data indicated that E7 may dominate the malignant progress in HPV-infected cells. The agents zinc finger nucleases (ZFNs), called ZFN-603 and ZFN-758, which can cleave the HPV16 and HPV18 E7 oncogene specifically. ZFN-mediated disruption of HPV16 and HPV18 E7 DNA directly decreased the expression of E7, induced type-specific apoptosis in HPV16- and HPV18-positive cells, and inhibited cell growth. The purpose of this study is to determine whether ZFN-603 and ZFN-758 are effective in the treatment of HPV16- and HPV18-positive cervical intraepithelial neoplasia.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1137735
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive