%0 Journal Article
%T 人乳头瘤病毒相关宫颈癌的精准筛查和治疗
%A 胡争()
%A 马丁
%A ()
%J 浙江大学学报(医学版)
%D 2018
%R 10.3785/j.issn.1008-9292.2018.08.02
%X 宫颈癌是自身和环境共同作用下的复杂疾病。在宿主遗传易感性的基础上，高危型人乳头瘤病毒（HPV）持续感染并整合入宿主、宿主基因组的甲基化及体细胞突变等基因组及表观基因组特征变化在宫颈癌的发生和发展中具备分子分型、早期预警及指示预后的关键作用。因此，基于第二代测序技术的HPV等分子检测及动态机器学习模型将更精准地预测真正可能致癌的患者，减轻反复筛查负担；与此同时，基因编辑技术的靶向定点切割将使HPV感染相关宫颈病变的治疗成为可能。本文回顾了HPV相关宫颈癌分子生物学研究进展，提出未来我国宫颈癌精准防治的方向。</br>Abstract: Cervical cancer is a complex disease caused by both genetic susceptibility and environmental factors. Inherited genomic variance, high-risk human papilloma virus (HPV) infection/integration, genome methylation and somatic mutation could all constitute one machine learning model, laying the ground for molecular classification and the precision medicine of cervical cancer. Therefore, for cervical screening, next generation sequencing (NGS)-based HPV DNA and other molecular tests as well as dynamic machine learning models would accurately predict patients with potential to develop the cancer, thereby reducing the burden of repeated screening. Meantime, genome-editing tools targeting HPV would emerge as the next generation gene therapy for HPV-related cervical lesions. In this article, we review the substantial progress on molecular mechanism of cervical cancer development and suggest the future for precise prevention and early treatment of cervical cancer. Key words: Molecular structure Uterine cervical neoplasms/diagnosis Uterine cervical neoplasms/therapy Papillomaviridae/genetics Virus integration RNA editing Sequence analysis, DNA/methods Mass screening
%K Molecular structure Uterine cervical neoplasms/diagnosis Uterine cervical neoplasms/therapy Papillomaviridae/genetics Virus integration RNA editing Sequence analysis
%K DNA/methods Mass screening
%U http://www.zjujournals.com/med/CN/10.3785/j.issn.1008-9292.2018.08.02