机构：[1]College of Computer Science, Sichuan University, Chengdu 610065, China.[2]Department of Obstetrics and Gynaecology PLA General Hospital, Beijing 100853, China.[3]BGI-Shenzhen, Shenzhen 518083, China.[4]School of Information Science and Engineering, Central South University, Changsha 410083, China.[5]National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.[6]Medical Big Data Center of Sichuan University, Chengdu 610065, China.
Cervical cancer is the fourth most common tumor in women worldwide, mostly resulting from high-risk human papillomavirus (HR-HPV) with persistent infection.
The present discoveries are comprised of the following: (i) A total of 16.64% of the individuals were positive for HR-HPV infection, with 13.04% having a single HR-HPV type and 3.60% having multiple HR-HPV types. (ii) Cluster analysis showed that the infection rate trends of HPV31 and HPV33 in all infections as well as HPV33 and HPV35 in single infections in precancerous stages were very similar. (iii) The single/multiple infection proportions of HR-HPV demonstrated a trend that the multiple infections rates of HR-HPV increased as the disease developed.
The HR-HPV prevalence in outpatients was 16.64%, and the predominant HR-HPV types in the study were HPV52, HPV58 and HPV16. HR-HPV subtypes with common biological properties had similar infection rate trends in precancerous stages. Especially, as the disease development of precancer evolved, defense against HPV infection broke, meanwhile, the potential of more HPV infection increased, which resulted in increase of multiple infections of HPV.
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外文
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中科院(CAS)分区：
出版当年[2020]版：
大类|4 区计算机科学
小类|3 区生化研究方法3 区生物工程与应用微生物3 区数学与计算生物学
最新[2025]版：
大类|4 区生物学
小类|3 区生物工程与应用微生物4 区生化研究方法4 区数学与计算生物学
第一作者：
第一作者机构：[1]College of Computer Science, Sichuan University, Chengdu 610065, China.
通讯作者：
通讯机构：[1]College of Computer Science, Sichuan University, Chengdu 610065, China.[6]Medical Big Data Center of Sichuan University, Chengdu 610065, China.
推荐引用方式(GB/T 7714)：
Wu Wenting,Song Lei,Yang Yongtao,et al.Exploring the dynamics and interplay of human papillomavirus and cervical tumorigenesis by integrating biological data into a mathematical model.[J].BMC bioinformatics.2020,21(Suppl 7):152.doi:10.1186/s12859-020-3454-5.
APA：
Wu Wenting,Song Lei,Yang Yongtao,Wang Jianxin,Liu Hongtu&Zhang Le.(2020).Exploring the dynamics and interplay of human papillomavirus and cervical tumorigenesis by integrating biological data into a mathematical model..BMC bioinformatics,21,(Suppl 7)
MLA：
Wu Wenting,et al."Exploring the dynamics and interplay of human papillomavirus and cervical tumorigenesis by integrating biological data into a mathematical model.".BMC bioinformatics 21..Suppl 7(2020):152
