Distribution of HPV types among women with HPV-related diseases and exploration of lineages and variants of HPV 52 and 58 among HPV-infected patients in China: A systematic literature review

ABSTRACT

To summarize the distribution of types of human papillomavirus (HPV) associated with HPV-related diseases and investigate the potential causes of high prevalence of HPV 52 and 58 by summarizing the prevalence of lineages, sub-lineages, and mutations among Chinese women. We searched PubMed, EMBASE, CNKI, and WanFang from January, 2012 to June, 2023 to identify all the eligible studies. We excluded patients who had received HPV vaccinations. Data were summarized in tables and cloud/rain maps. A total of 102 studies reporting HPV distribution and 15 studies reporting HPV52/HPV58 variants were extracted. Among Chinese women, the top five prevalent HPV types associated with cervical cancer (CC) were HPV16, 18, 58, 52, and 33. In patients with vaginal cancers and precancerous lesions, the most common HPV types were 16 and 52 followed by 58. For women with condyloma acuminatum (CA), the most common HPV types were 11 and 6. In Chinese women with HPV infection, lineage B was the most prominently identified for HPV52, and lineage A was the most common for HPV58. In addition to HPV types 16, which is prevalent worldwide, our findings revealed the unique high prevalence of HPV 52/58 among Chinese women with HPV-related diseases. HPV 52 variants were predominantly biased toward lineage B and sub-lineage B2, and HPV 58 variants were strongly biased toward lineage A and sub-lineage A1. Further investigations on the association between the high prevalent lineage and sub-lineage in HPV 52/58 and the risk of cancer risk are needed. Our findings underscore the importance of vaccination with the nine-valent HPV vaccine in China.

KEYWORDS:

• Papillomavirus
• HPV-related diseases
• HPV52
• HPV58
• epidemiology
• China

Acknowledgments

This work was partly supported by a grant from the major project of the Study on Pathogenesis and Epidemic Prevention Technology System (2021YFC2302500) by the Ministry of Science and Technology of China. The collection and assembly of data and statistical expertise were provided by Miss. Sai Zhao, Miss. Yang Zhang, and Dr. Sitong Dong from Systematic Review Solutions, Ltd. Margueritte White M.D. of Global Community Writer provided English language editing.

Disclosure statement

Authors Yue Yan, Rui Bian, and Xingxing Zhang are employed by MSD China.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Abbreviations

HPV: Human papillomavirus; CCs: cervical cancers; ICCs: invasive cervical cancers; CIN: cervical intraepithelial neoplasia; RRP: recurrent respiratory papillomatosis; PRISMA: Preferred Reporting Items for Systematic reviews and Meta-Analyses; PCR: polymerase chain reaction; PCR-RDB: polymerase chain reaction-reverse dot blot; JBI: Joanna Briggs Institute; LSIL: low-grade squamous intraepithelial lesion; HSIL: high-grade squamous intraepithelial lesion; CA: condyloma acuminatum; LCR: long control region; OR: odds ratio.

Author contribution

Weijin Huang (WH), Jianhui Nie (JN), Rui Bian (RB), Xingxing Zhang (XZ), and Yue Yan (YY) designed the review protocol. Meng Wang (MW), Haoyu Liang (HL), XZ and YY conducted the literature search and data extraction. Statistical analyzes were performed by WH, JN, RB, MW, HL, and XZ. Authors MW, HL, RB, XZ, and YY critically reviewed and interpreted the results. The manuscript was drafted by MW and HL, with substantial input from all other authors during the writing, reviewing, and editing stages. All authors have read and approved the final manuscript.

Data availability statement

Data will be made available on request.

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website at https://doi.org/10.1080/21645515.2024.2343192.

Additional information

Funding

The collection and assembly of data, statistical expertise and writing assistance were funded by MSD China.