Prevalence of high‐risk human papillomavirus infection among women in Shaanxi province of China: A hospital‐based investigation

Cao, Di; Zhang, Shaohua; Zhang, Qian; Wei, Xing; Zhao, Minyi; Ma, Qian; Li, Yang; Wang, Li; Pei, Meili; Yang, Ting; Zhao, Juan; Yang, Xiaofeng

doi:10.1002/jmv.24748

Cited by 13 publications

(11 citation statements)

References 40 publications

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“…24 In mainland China, various authors have noted significant geographical variation. Li et al reported Sichuan at 19.9%, 25 Shanxi was 26.7% reported by Cao et al,26 and Guangdong was 7.3% reported byZhao et al 27 In our study, the overall prevalence of cervical HPV infection is 9.1% (range 6.3% to 12.9% by region). This was lower than the 19.0% prevalence noted byLi et al in their systematic review of the epidemiology of hr-HPV infections conducted in mainland China 28.…”

supporting

confidence: 46%

The prevalence and distribution of human papillomavirus among 10,910 Chinese Han women

Guo¹,

Du²,

Belinson³

et al. 2020

Preprint

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ObjectiveTo assess the prevalence and distribution of HPV genotypes among Chinese Han women, and to explore the risk of high-grade cervical lesions associated with individual hr-HPV genotypes.MethodsGenotyping and histopathology data from the Chinese Multi-Center Screening Trial (CHIMUST) and its pilot screening trial, from 6 regions across mainland China, were re-analyzed. The data from physician (direct) collected samples from 10910 Chinese Han women (ages 30-69) were used to determine the prevalence and distribution of hr-HPV and to explore the risk association between hr-HPV genotypes and precancerous lesions.Results9.1% of the study population tested hr-HPV positive. The prevalence varied regionally rom the lowest in Guangdong (6.3%) to the highest in Inner Mongolia (12.9%). The most prevalent genotypes found were HPV-52 (21.5%), HPV-16 (19.2%), HPV-58 (15.0%), HPV-39 (8.9%), and HPV-51 (8.2%). The overall odds ratios for CIN2+ and CIN3+ for the presence of HPV-16 was 59.7 (95% CI 39.9-89.3) and, 92.0 (95%CI 54.5- 155.3), respectively and remained the highest odds ratio for CIN3+ in all 6 regions.ConclusionGeographical variation exists in the prevalence and distribution of hr-HPV in mainland China. HPV-16/52/58 were the most prevalent genotypes, and HPV-16 had the highest risk for high-grade cervical lesions.

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supporting

confidence: 46%

The prevalence and distribution of human papillomavirus among 10,910 Chinese Han women

Guo¹,

Du²,

Belinson³

et al. 2020

Preprint

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“…HPV genotypes were determined according to the HPV genotypes schematic diagram: blue and purple dots were considered as HPV positive. Twenty-one HPV genotypes included 15 high-risk genotypes (16,18,31,33,35,39,45, 51, 52, 53, 56, 58, 59, 66 and 68) and 6 low-risk genotypes (6,11,42,43,44 and CP8304). Participants with any of HPVpositive genotypes were regarded as HPV-infected (whether or not coinfected by other HPV genotypes).…”

Section: Hpv Detectionmentioning

confidence: 99%

“…[4][5][6][7][8] Development of cervical cancer is a long-term process with multiple stages. Although a persistent human papillomavirus (HPV) infection, especially high-risk human papillomavirus (HR-HPV) infection, is necessarily a causal factor in cervical carcinogenesis, [9][10][11] not all women infected with HPV develop cervical cancer, indicating that other factors are involved in cervical carcinogenesis along with HPV. 12,13 In recent years, an increase in industrial production has resulted in increased environmental pollution, which has become more and more serious.…”

Section: Introductionmentioning

confidence: 99%

Effects of exposure to polycyclic aromatic hydrocarbons combined with high‐risk human papillomavirus infection on cervical intraepithelial neoplasia: A population study in Shanxi Province, China

Ding

Gao

et al. 2019

Intl Journal of Cancer

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High‐risk human papillomavirus (HR‐HPV) infection is a major etiological agent in the progression of cervical intraepithelial neoplasia (CIN) and cervical cancer. Polycyclic aromatic hydrocarbons (PAHs) are carcinogenic pollutants that exist widely in the environment. We hypothesized that PAHs exposure was related to the progression of cervical cancer, and could increase the effect of HR‐HPV on CIN. We investigated the effects of PAHs exposure combined with HR‐HPV infection on CIN in community population in Shanxi Province, China. A total of 2,285 women were enrolled into the study. HR‐HPV genotypes were detected by flow‐through hybridization technology. 1‐hydroxypyrene (1‐OHP) was detected by high‐performance liquid chromatography. The top three HR‐HPV genotypes were 16, 58 and 52 in turn. With unconditional logistic regression analysis, we found that HR‐HPV infection (adjusted odds ratio [aOR] = 4.08, 95% confidence interval [CI]: 3.00–5.54), HPV16 infection (aOR = 4.71, 95% CI: 3.39–6.53), HPV58 infection (aOR = 2.29, 95% CI: 1.41–3.73) and PAHs high exposure (aOR = 2.57, 95% CI: 1.82–3.62) increased the risk of CIN2/3, showing an increasing trend (p < 0.001) with the severity of cervical lesions. Compared to Q1 (<0.06 μmol/molCr) levels of 1‐OHP, women with Q4 (>0.11 μmol/molCr) had a higher risk for CIN2/3 (aOR = 7.68, 95% CI: 4.83–12.22). Additionally, we observed that there was a synergic effect between high exposure to PAHs and HR‐HPV infection in CIN2/3. Furthermore, the results from the generalized multifactor dimensionality reduction model showed that there were joint interactions of PAHs, HPV16, HPV58 and HPV52 on the risk of CIN2/3. Our study revealed that high exposure to PAHs could increase the risk for CIN, and it posed stronger risk when combined with HR‐HPV infection.

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“…Isolates of the same HPV type are referred to variant lineages and sublineages based on the complete genome nucleotide sequences differing approximately 1%-10% and 0.5%-1%, respectively [6]. HPV16, 18, 52 and 58 have been found to be the top four prevalent high-risk HPVs among Chinese females [7][8][9][10]. So far, multiple variant lineages and sublineages have been designated to HPV16 (A1-A4, B1-B4, C1-C4, D1-D4) [6,11,12], HPV18 (A1-A5, B1-B3, C) [6], HPV52 (A1-A2, B1-B2, C1-C2, D) [6] and HPV58 (A1-A3, B1-B2, C, D1-D2) [6].…”

Section: Introductionmentioning

confidence: 99%

Genetic signatures for lineage/sublineage classification of HPV16, 18, 52 and 58 variants

Chen

Zhao

et al. 2020

Preprint

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Increasing evidences indicate that high-risk HPV variants are heterogeneous in carcinogenicity and ethnic dispersion. In this work, we identified genetic signatures for convenient determination of lineage/sublineage of HPV16, 18, 52 and 58 variants. Using publicly available genomes, we found that E2 of HPV16, L2 of HPV18, L1 and LCR of HPV52, and L2, LCR and E1 of HPV58 contain the proper genetic signature for lineage/sublineage classification. Sets of hierarchical signature nucleotide positions (SNPs) were further confirmed for high accuracy (>98%) by classifying HPV genomes obtained from Chinese females, which included 117 HPV16 variants, 48 HPV18 variants 117 HPV52 variants and 89 HPV58 variants. The circulation of HPV variants posing higher cancer risk in Eastern China, such as HPV16 A4 and HPV58 A3, calls for continuous surveillance in this region. The marker genes and signature nucleotide positions may facilitate cost-effective diagnostic detections of HPV variants in clinical settings.

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Prevalence of high‐risk human papillomavirus infection among women in Shaanxi province of China: A hospital‐based investigation

Cited by 13 publications

References 40 publications

The prevalence and distribution of human papillomavirus among 10,910 Chinese Han women

The prevalence and distribution of human papillomavirus among 10,910 Chinese Han women

Effects of exposure to polycyclic aromatic hydrocarbons combined with high‐risk human papillomavirus infection on cervical intraepithelial neoplasia: A population study in Shanxi Province, China

Genetic signatures for lineage/sublineage classification of HPV16, 18, 52 and 58 variants

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