scholarly journals Prevalence and distribution of human papillomavirus genotypes in cervical intraepithelial neoplasia in China: a meta-analysis

2020 ◽  
Vol 302 (6) ◽  
pp. 1329-1337
Author(s):  
Junya Zhang ◽  
Keyan Cheng ◽  
Zhilian Wang

Abstract Background and aim Data on type-specific human papillomavirus (HPV) are needed to investigate HPV-based screening tests and HPV vaccines. However, Chinese relevant data are insufficient. Therefore, this meta-analysis aimed to summarize and demonstrate the prevalence and distribution of HPV genotypes in cervical intraepithelial neoplasia (CIN) and compensate for the shortage of HPV vaccines in China. Methods The Medline, Embase, and the Cochrane Library databases, as well as references cited in the selected studies, were systematically searched for studies investigating the prevalence and distribution of HPV genotypes between January 2000 and April 2019 in China. Results A total of 8 studies were identified, which comprised 2950 patients with CIN1 and 5393 with CIN2/3. The overall HPV infection rate was 84.37%. The HPV infection rate was significantly higher in the CIN2/3 group (87.00%) than in the CIN1 group (79.56%) (χ2 = 80.095, P < 0.001). The most common HPV types in CIN1 in order of decreasing prevalence were as follows: HPV52 (20.31%), HPV16 (16.81%), HPV58 (14.44%), HPV18 (6.44%), and HPV53 (5.76%). However, in the CIN2/3 group, HPV16 (45.69%) was the predominant type, followed by HPV58 (15.50%), HPV52 (11.74%), HPV33 (9.35%), and HPV31 (4.34%). Conclusions This study suggested that HPV16, HPV52, and HPV58 were the top three types of CIN in China. The findings might provide a reference for future HPV-based cervical cancer screening tests, treatment of HPV infection, and application of HPV vaccines in China.

2020 ◽  
Vol 8 (12) ◽  
pp. 1863
Author(s):  
Kaori Okayama ◽  
Hirokazu Kimura ◽  
Koji Teruya ◽  
Yasuyoshi Ishii ◽  
Kiyotaka Fujita ◽  
...  

Human papillomavirus (HPV) infection is thought to be strongly associated with the precarcinomatous state cervical intraepithelial neoplasia (CIN) and cervical carcinoma. To accurately assess the correlation between HPV detection profiles and CIN, the uniplex E6/E7 polymerase chain reaction (PCR) method was used. We detected HPV (37 genotypes) in 267 CIN cases. The detection of a single high-risk HPV genotype occurred in 69.7% of CIN1 and worse than CIN1 (CIN1+) cases whereas other types were detected in 11.6% of cases. Codetection of high-risk HPV genotypes occurred in 4.9% of CIN1+ cases. The high-risk genotype HPV16 was the most frequently detected genotype in CIN1+ lesions; the genotype HPV34 (not a high-risk type) was detected in some CIN3 cases. Furthermore, HPV codetection may not be associated with CIN grades. These results suggest that various HPV genotypes are associated with CIN across all analyzed cases.


2020 ◽  
Author(s):  
Satoshi Baba ◽  
Ayumi Taguchi ◽  
Akira Kawata ◽  
Konan Hara ◽  
Satoko Eguchi ◽  
...  

Abstract Background Human papillomavirus (HPV) infection is a primary cause of cervical cancer. Although epidemiologic study revealed that carcinogenic risk differs according to HPV genotypes, the expression patterns of HPV-derived transcripts and their dependence on HPV genotypes have not yet been fully elucidated. Methods In this study, 382 patients with abnormal cervical cytology were enrolled to assess the associations between HPV-derived transcripts and cervical intraepithelial neoplasia (CIN) grades and/or HPV genotypes. Specifically, four HPV-derived transcripts, namely, oncogenes E6 and E6* , E1^E4 , and viral capsid protein L1 in four major HPV genotypes—HPV 16, 18, 52, and 58—were investigated. Results The detection rate of E6/E6* increased with CIN progression, whereas there was no significant change in the detection rate of E1^E4 or L1 among CIN grades. In addition, we found that L1 gene expression was HPV type-dependent. Almost all HPV 52-positive specimens, approximately 50% of HPV 58-positive specimens, around 33% of HPV 16-positive specimens, and only one HPV18-positive specimen expressed L1 . Conclusions We demonstrated that HPV-derived transcripts are HPV genotype-dependent. Especially, expression patterns of L1 gene expression might reflect HPV genotype-dependent patterns of carcinogenesis.


2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Yuejuan Liang ◽  
Mengjie Chen ◽  
Lu Qin ◽  
Bing Wan ◽  
He Wang

Abstract Microecology is an emerging discipline in recent years. The female reproductive tract is an important microecological region, and its microecological environment can directly affect women’s cervical health. This meta-analysis aimed to analyze the effects of vaginal microecology on Human papillomavirus (HPV) infection and cervical intraepithelial neoplasia (CIN). PubMed and Web of Science were systematically searched for eligible publications from January 2000 to December 2017. Articles were selected on the basis of specific inclusion and exclusion criteria. The design and quality of all studies were evaluated using the Newcastle-Ottawa Scale (NOS). Odds ratios (ORs) with a 95% confidence interval (95% CI) were calculated. Thirteen eligible studies were selected to evaluate the association of vaginal microecology with HPV infection and CIN. The factors related to HPV infection were bacterial vaginosis (BV) (OR 2.57, 95% CI 1.78–3.71, P<0.05), Candida albicans (VVC) (OR 0.63, 95% CI 0.49–0.82, P < 0.05), Chlamydia trachomatis (CT) (OR 3.16, 95% CI 2.55–3.90, P < 0.05), and Ureaplasma urealyticum (UU) (OR 1.35, 95% CI 1.20–1.51, P < 0.05). BV was also related to CIN (OR 1.56, 95% CI 1.21–2.00, P < 0.05). This meta-analysis of available literature suggested an intimate association of vaginal microecology and HPV infection with CIN. BV, CT and UU were associated to increased HPV infection, VVC was associated to decreased HPV infection, Lactobacillus is not associated to increased HPV infection, BV was associated to increased CIN development risk. Further large-scale studies are needed to confirm our findings.


2019 ◽  
Vol 220 (8) ◽  
pp. 1243-1254 ◽  
Author(s):  
Huiyan Wang ◽  
Yan Ma ◽  
Ruonan Li ◽  
Xixi Chen ◽  
Lijuan Wan ◽  
...  

Abstract Background Vaginal dysbiosis characterized by depleted lactobacilli is usually correlated with human papillomavirus (HPV) infection and cervical carcinogenesis, but the effect of the Lactobacillus genus and represented species on this process remains unclear. Methods PubMed, EMBASE, and CENTRAL databases were searched up to February 15, 2019. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a fixed-effect model and Review Manager (version 5.3) for Mac. Results Eleven studies comprising 1230 cases were included. Lactobacillus spp. was associated with the decreased detection of high-risk subtype (hr)HPV infection (OR = 0.64, 95% CI = 0.48–0.87, I2 = 6%), cervical intraepithelial neoplasia (CIN) (OR = 0.53, 95% CI = 0.34–0.83, I2 = 0%), and cervical cancer (CC) (OR = 0.12, 95% CI = 0.04–0.36, I2 = 0%). At the level of Lactobacillus species, Lactobacillus crispatus, but not Lactobacillus iners, was correlated with the decreased detection of hrHPV infection (OR = 0.49, 95% CI = 0.31–0.79, I2 = 10%) and CIN (OR = 0.50, 95% CI = 0.29–0.88, I2 = 0%). Conclusions Cervicovaginal Lactobacillus spp. is associated with the decreased detection of hrHPV infection, CIN, and CC; L. crispatus may be the critical protective factor.


2020 ◽  
Vol 9 (5) ◽  
pp. 1305 ◽  
Author(s):  
Óscar Rapado-González ◽  
Cristina Martínez-Reglero ◽  
Ángel Salgado-Barreira ◽  
Almudena Rodríguez-Fernández ◽  
Santiago Aguín-Losada ◽  
...  

Background. Human papillomavirus (HPV) infection has been recognized as an important risk factor in cancer. The purpose of this systematic review and meta-analysis was to determine the prevalence and effect size of association between salivary HPV DNA and the risk of developing oral and oropharyngeal cancer. Methods. A systematic literature search of PubMed, EMBASE, Web of Science, LILACS, Scopus and the Cochrane Library was performed, without language restrictions or specified start date. Pooled data were analyzed by calculating odds ratios (ORs) and 95% confidence intervals (CIs). Quality assessment was performed using the Newcastle–Ottawa Scale (NOS). Results. A total of 1672 studies were screened and 14 met inclusion criteria for the meta-analysis. The overall prevalence of salivary HPV DNA for oral and oropharyngeal carcinoma was 43.2%, and the prevalence of salivary HPV16 genotype was 27.5%. Pooled results showed a significant association between salivary HPV and oral and oropharyngeal cancer (OR = 4.94; 2.82−8.67), oral cancer (OR = 2.58; 1.67−3.99) and oropharyngeal cancer (OR = 17.71; 6.42−48.84). Significant associations were also found between salivary HPV16 and oral and oropharyngeal cancer (OR = 10.07; 3.65−27.82), oral cancer (OR = 2.95; 1.23−7.08) and oropharyngeal cancer (OR = 38.50; 22.43−66.07). Conclusions. Our meta-analysis demonstrated the association between salivary HPV infection and the incidence of oral and oropharyngeal cancer indicating its value as a predictive indicator.


2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Yuejuan Liang ◽  
Mengjie Chen ◽  
Lu Qin ◽  
Bing Wan ◽  
He Wang

In the original publication of this article [1] there was an error in the results section of the article.


2017 ◽  
Vol 27 (7) ◽  
pp. 1480-1488 ◽  
Author(s):  
Ting Luan ◽  
Quan Hua ◽  
Xia Liu ◽  
Pengfei Xu ◽  
Yun Gu ◽  
...  

ObjectiveThe methylation of paired box gene 1 (PAX1) has a great influence on the process of cervical lesion. However, available evidence for the association between PAX1 methylation and cervical intraepithelial neoplasia (CIN) are inconsistent. Here, we systematically reviewed and analyzed PAX1 methylation in progress of CIN.MethodsTwo investigators independently searched eligible studies of PAX1 methylation and CIN that were published in PubMed, Cochrane Library, EMBASE, and Web of Science databases until November 30, 2016. We extracted clinicopathologic features of CIN and cervical cancel relevant to PAX1 methylation. Odds ratios (ORs) with their 95% confidence intervals (CIs) were used to assess the association between PAX1 methylation and progression of patients with CIN.ResultsSeven studies composed of 1055 patients with various stages of CIN and cervical cancel were eventually included. The results revealed that PAX1 methylation was associated with transition of CIN I to CIN II/III (OR, 0.09; 95% CI, 0.04–0.19) and CIN II/III to cervical cancer (OR, 0.16; 95% CI, 0.05–0.46), and similar results were produced in sensitivity analysis. Also, we found that the OR value was associated with average age and number of patients, publication year, and study location of included articles.ConclusionsPAX1 gene methylation was associated with the transition of CIN I to CIN II/III and CIN II/III to cervical cancer, so that it could be an auxiliary biomarker to estimate the risk of CIN progress. Moreover, PAX1 may help to determine appropriate reexaminations and treatment for patients with various stages of CIN.


2019 ◽  
Author(s):  
Xiaodong Gu ◽  
Ruiqiang Weng ◽  
Jing Liu ◽  
Sudong Liu

Abstract Background: To investigate HPV genotype distribution in cervical intraepithelial neoplasia 2/3 (CIN2/3) and invasive cervical cancer (ICC) among Hakka women in southern China. Methods: Results of HPV genotypes from women with histological diagnosis of CIN2/3 and ICC were collected from January, 2017 to December, 2018. HPV genotypes were analyzed by flow cytometry method. Association of HPV infection and lesions severity was estimated using prevalence ratio (PR). Results: Overall, 1,408 Hakka women with histological diagnosis of CIN2/3 and ICC were enrolled in this study. HPV infection prevalence was 92.92% in CIN2, 95.77% in CIN3 and 95.88% in ICC. Most frequent genotypes for CIN2 were HPV52 (31.42%), HPV16 (22.12%) and HPV58 (22.12%); for CIN3 were HPV16 (41.90%), HPV52 (20.77%) and HPV58 (18.31%); and for ICC were HPV16 (49.67%), HPV18 (11.25%) and HPV52 (9.80%). PR of HPV16 and HPV33 were significantly higher in CIN3 compared with CIN2 (PR = 2.372, 95%CI = 1.598-3.524; PR = 2.577, 95%CI = 1.250-5.310; respectively). HPV16 and HPV18 prevalence were significantly increasing in SCC compared with CIN3 (PR = 2.517, 95%CI = 1.095-5.786; PR = 2.473, 95%CI = 1.840-3.324; respectively). Most HPV infections were found in women aged 40 – 49 years in CIN2/3 and women aged 50 - 59 years in ICC. Conclusions: This is the first study of genotypes and age specific distribution of HPV infection among Hakka women with CIN2/3 and ICC in southern China. Our results provide available information for HPV vaccine development in China.


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