Prevalence and Genotype Distribution of Human Papillomavirus among Women from Henan, China

Abstract

Human papillomavirus (HPV) infection has been implicated as a causative of cervical cancer. In the present study, a total of 578 samples from females attending the gynecological outpatient clinic in Henan province, China, were collected and the HPV genotypes were detected by gene chip and flow-through hybridization. Overall, 44.5% (257/578) females were found to be HPV DNA positive, and the high risk HPV (HR-HPV) rate was 35.1% (203/578). The first peak of HR-HPV infection appeared in the >60 year-old group (55.0%), and the second was within the 51-55 year-old group (50.0%) (χ 2 =19.497, p<0.05). HPV 16 was the most prevalent genotype (9.2%), followed by HPV 52 (7.8%), HPV 6 (6.9%), HPV 11 (5.9%) and HPV 42 (5.0%). The single type HPV infection was 30.4%, with the five majority prevalent genotype HPV 16 (16.5%), HPV 52 (14.3%), HPV 6 (12.6%), HPV 42 (8.6%), HPV 31 (5.1%). The multiple-type HPV infections were 14.0%, and HPV 16 was the most prevalent type (29.6%), followed by HPV 52 (24.7%), HPV 6 (22.2%), HPV 11 (22.2%), HPV 42 (17.3%) and HPV 39 (17.3%).

Human Papillomavirus: Six years genotype distribution of a hospital-based population study in women in Chongqing, China

“…The results of this study reveal a 22.3% overall prevalence of HPV infection in Chongqing province. The infection rate of HPV in Chongqing province was slightly lower than that reported in a previous study in the same region (26.2%) [13], similar to that in the north of Chengdu (23.05%) [14] and Henan (22.8%) [15], noticeably higher than that in Zhejiang (13.3%) [16] and Xinjiang (14.02%) [17], but signi cantly lower than that in Harbin (36.5%) [18], Fujian (38.3%) [8] and Calabria (31%) [19]. The reason for the differences in HPV prevalence between that reported in our and a previous study [13] may be that most of the participants took part in the screening in the previous study because of the discomfort symptoms of the reproductive tract, while women recruited in our study had more understanding of HPV and wanted to put HPV screening into the routine practice.…”

Prevalence and genotype distribution of human papillomavirus: implications for cancer screening and vaccination in Henan province, China

“…However, in another study conducted in this area, the most prevalent HPV genotype was HPV 16 (9.2%, 53/578), followed by HPV 52 (7.8%, 45/578) and HPV 6 (6.9%, 40/578) (9) . As the biggest hospital in the center of China, clinical data from the First Affiliated Hospital of Zhenghou University might be more representative of the population.…”

Immunomics Datasets and Tools: To Identify Potential Epitope Segments for Designing Chimeric Vaccine Candidate to Cervix Papilloma

“…Specific human MHC-I alleles such as human leukocyte antigen (HLA)-A* (01:01, 02:01, 02:07, 11:01, 24:01), HLA-B* (46:01, 58:01), and HLA-C* (07:02, 12:03) were abundantly diagnosed in different regions of China, including Guizhou, Henan, Taihu River Basin, Tibetan, Yunnan, Wenzhou, and Wuhan. These 11 alleles were selected for epitope prediction [38][39][40][41][42][43][44]. IEDB [45] is a freely available analysis resource with specified algorithms for the identification and determination of immunogenic epitopes.…”

“…E denotes interaction score, µ denotes mean, and σ denotes standard deviation from 10,000 random interfaces [49]. MHC-II alleles include DQB1*(03:01, 03:03, 06:01), DRB1*(07, 09, 14:01:01, 15:01, 15:07:01), and DPB1* (05:01,05:02:01), specific to Henan, Taihu River Basin, Tibetan, Yunnan, Wenzhou, and Wuhan provinces of China, which have been selected for epitope prediction [38][39][40][41][42][43][44]. The IEDB consensus approaches were used to predict MHC-II binding epitope segments using neural network-based alignment, stabilized matrix methods-based alignment, and combinatorial library-based algorithms [50].…”