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宫颈癌HPV16抑制剂研发的最新进展

Recent update on the development of HPV16 inhibitors for cervical cancer.

作者信息

Shoaib Muhammad, Tariq Amina, Liu Yanchen, Yang Mingwei, Qu Lingbo, Yang Longhua, Song Jinshuai

机构信息

College of Chemistry, Pingyuan Laboratory, and State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou, Henan 450001, China.

College of Chemistry, Pingyuan Laboratory, and State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou, Henan 450001, China; Institute of Chemistry, Henan Academy of Science, Zhengzhou, Henan 450046, China.

出版信息

Crit Rev Oncol Hematol. 2025 Jun;210:104703. doi: 10.1016/j.critrevonc.2025.104703. Epub 2025 Mar 17.

DOI:10.1016/j.critrevonc.2025.104703
PMID:40107437
Abstract

Persistent infection with human papillomavirus (HPV) can lead to cervical cancer (CC), which is the fourth most commonly diagnosed cancer in women globally. In this review, we have explained the HPV genome and the development of CC. Additionally, we summarized recently discovered small molecules that act as inhibitors of HPV-16. These molecules were identified through experimental and in-silico studies aimed at preventing or treating CC. HPV-16 and HPV-18 are the most common subtypes of HPV that cause CC globally. E6 oncoprotein of HPV-16 is considered the primary cause of CC progression. Therefore, E6 is the most focused targeted protein for developing specific and novel therapeutic inhibitors to treat HPV-related cancers. In recent years, various HPV inhibitors have been identified by means of experimental and in-silico studies. In addition, artificial intelligence-based medical diagnostic tools have grown more popular as they are capable of screening and diagnosing HPV-related cancer.

摘要

人乳头瘤病毒(HPV)的持续感染会导致宫颈癌(CC),宫颈癌是全球女性中第四大最常被诊断出的癌症。在这篇综述中,我们解释了HPV基因组以及宫颈癌的发展。此外,我们总结了最近发现的作为HPV - 16抑制剂的小分子。这些分子是通过旨在预防或治疗宫颈癌的实验性和计算机模拟研究鉴定出来的。HPV - 16和HPV - 18是全球导致宫颈癌最常见的HPV亚型。HPV - 16的E6癌蛋白被认为是宫颈癌进展的主要原因。因此,E6是开发治疗HPV相关癌症的特异性和新型治疗抑制剂时最受关注的靶向蛋白。近年来,通过实验性和计算机模拟研究已经鉴定出了各种HPV抑制剂。此外,基于人工智能的医学诊断工具越来越受欢迎,因为它们能够筛查和诊断HPV相关癌症。

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