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Basic Characteristics of Mutations
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Mutation Site
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A647G |
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Mutation Site Sentence
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The three most prevalent nucleotide substitutions were T178G (D32E) (191/298, 64.1%) in the E6 gene and A647G (N29S) (195/298, 65.4%) and T846C (192/298, 64.4%) in the E7 gene, which are specific to the A4 (Asian) sublineage. |
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Mutation Level
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Nucleotide level |
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Mutation Type
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Nonsynonymous substitution |
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Gene/Protein/Region
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E7 |
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Standardized Encoding Gene
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E7
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Genotype/Subtype
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HPV16 |
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Viral Reference
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K02718
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Functional Impact and Mechanisms
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Disease
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Papillomavirus Infections
Cervical Intraepithelial Neoplasia
Uterine Cervical Neoplasms
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Immune
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- |
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Target Gene
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-
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Clinical and Epidemiological Correlations
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Clinical Information
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Y |
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Treatment
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- |
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Location
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China |
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Literature Information
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PMID
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34217247
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Title
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Association of cervical carcinogenesis risk with HPV16 E6 and E7 variants in the Taizhou area, China
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Author
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Dai MZ,Qiu Y,Di XH,Shi WW,Xu HH
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Journal
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BMC cancer
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Journal Info
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2021 Jul 3;21(1):769
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Abstract
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BACKGROUND: Human papillomavirus (HPV) type 16 accounts for a larger share of cervical cancer and has been a major health problem worldwide for decades. The progression of initial infection to cervical cancer has been linked to viral sequence properties; however, the role of HPV16 variants in the risk of cervical carcinogenesis, especially with longitudinal follow-up, is not fully understood in China. METHODS: We aimed to investigate the genetic variability of HPV16 E6 and E7 oncogenes in isolates from cervical exfoliated cells. Between December 2012 and December 2014, a total of 310 single HPV16-positive samples were selected from women living in the Taizhou area, China. Sequences of all E6 and E7 oncogenes were analysed by PCR-sequencing assay. Detailed sequence comparison, genetic heterogeneity analyses and maximum-likelihood phylogenetic tree construction were performed with BioEdit Sequence Alignment Editor and MEGA X software. Data for cytology tests and histological diagnoses were obtained from our Taizhou Area Study with longitudinal follow-up for at least 5 years. The relationship between HPV16 variants and cervical carcinogenesis risk was analysed by the chi-square test or Fisher's exact test. RESULTS: In this study, we obtained 64 distinct variation patterns with the accession GenBank numbers MT681266-MT681329. Phylogenetic analysis revealed that 98.3% of HPV16 variants belong to lineage A, in which the A4 (Asian) sublineage was dominant (64.8%), followed by A2 (12.1%), A1 (11.4%), and A3 (10.0%). The A4 (Asian) sublineage had a higher risk of CIN2+ than the A1-3 (European) sublineages (OR = 2.69, 95% CI = 1.04-6.97, P < 0.05). Furthermore, nucleotide variation in HPV16 E6 T178G is associated with the development of cervical cancer. CONCLUSION: These data could provide novel insights into the role of HPV16 variants in cervical carcinogenesis risk in China.
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Sequence Data
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MT681266-MT681329
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