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Journal article
Analysis of human papillomavirus type 16 E4, E5 and L2 gene variations among women with cervical infection in Xinjiang, China
BMC Medical Genomics, Vol.17, pp.1-14
2024
Abstract
Background
There is a high incidence of cervical cancer in Xinjiang. Genetic variation in human papillomavirus may increase its ability to invade, spread, and escape host immune response.
Methods
HPV16 genome was sequenced for 90 positive samples of HPV16 infection. Sequences of the E4, E5 and L2 genes were analysed to reveal sequence variation of HPV16 in Xinjiang and the distribution of variation among the positive samples of HPV16 infection.
Results
Eighty-one of the 90 samples of HPV16 infection showed variation in HPV16 E4 gene with 18 nucleotide variation sites, of which 8 sites were synonymous variations and 11 missense variations. 90 samples of HPV16 infection showed variation in HPV16 E5 and L2 genes with 16 nucleotide variation sites (6 synonymous, 11 missense variations) in the E5 gene and 100 nucleotide variation sites in L2 gene (37 synonymous, 67 missense variations). The frequency of HPV16 L2 gene missense variations G3377A, G3599A, G3703A, and G3757A was higher in the case groups than in the control groups.
Conclusions
Phylogenetic tree analysis showed that 87 samples were European strains, 3 cases were Asian strains, there were no other variations, and G4181A was related to Asian strains. HPV16 L2 gene missense variations G3377A, G3599A, G3703A, and G3757A were significantly more frequent in the case groups than in the control groups.
Details
- Title
- Analysis of human papillomavirus type 16 E4, E5 and L2 gene variations among women with cervical infection in Xinjiang, China
- Authors
- Haozheng Cheng - Shihezi UniversityYangliu Dong - Shihezi UniversityLe Wang - Shihezi UniversityXian Zhao - Shihezi UniversityXiangyi Zhe - Shihezi UniversityDongmei Li - Shihezi UniversityHongtao Li - Shihezi UniversityRenfu Shao (Author) - University of the Sunshine Coast, Queensland, Centre for BioinnovationJing Tuo (Corresponding Author) - Shihezi UniversityZemin Pan (Corresponding Author) - Shihezi University
- Publication details
- BMC Medical Genomics, Vol.17, pp.1-14
- Publisher
- BioMed Central Ltd.
- Date published
- 2024
- DOI
- 10.1186/s12920-024-01926-3
- ISSN
- 1755-8794
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Data Availability
- No datasets were generated or analysed during the current study.
- Grant note
- This work was supported by the National Natural Science Foundation of China (grant numbers: 82060518, U1503125) and the International Science and Technology Collaboration Projector of Xinjiang Production and Construction Corps (grant number 2019BC007).
- Organisation Unit
- School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 991046081602621
- Output Type
- Journal article
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