UNASSIGNED: This study aims to analyze the distribution of human papillomavirus (HPV) genotypes and the associations of demographic characteristics with HPV infection among women with condyloma acuminatum (CA) in Henan Province of China.
UNASSIGNED: From January 2019 to October 2022, 702 women with CA were sampled for HPV subtypes and surveyed by questionnaire at Henan Provincial People\'s Hospital. The HPV genotype was tested by flow-through hybridization after polymerase chain reaction (PCR).
UNASSIGNED: The location of warts was mainly vulva. The age of the subjects was mainly distributed in the 20-29-year-old, followed by 30-39-year-old. The most common subtypes were HPV 6 (43.59%), 11 (24.93%), 16 (11.82%), 52 (7.83%), 58 (7.55%), 51 (7.26%), 61 (5.70%), 39 (5.56%), 18 (5.13%), and 54 (4.70%), our results also suggested that HPV 6 and 11 were the dominant genotypes in each age group. The infection of low-risk HPV (LR-HPV) (74.50%) and single HPV (47.01%) were the main categories. In terms of educational level, women with senior high school or above were inclined to infect single and pure-LR HPV. Unmarried status, sometimes or never condom use increased the chances of multiple, pure high-risk (HR) and mixed HPV infections. Women with multiple sex partners were more likely to cause multiple and mixed HPV infections.
UNASSIGNED: Our experimental data on the prevalence and subtype distribution of HPV in women with CA could provide valuable reference for preventing CA in Henan Province. The application of the nine-valent vaccine provides a broad prospect for female CA prevention.

Persistent high-risk human papillomavirus (HR-HPV) infections cause cervical cancer and a fraction of head and neck cancer. To investigate whether HR-HPV infection might be also involved in the development of gastric cancer (GC), we developed a platform utilizing a rolling circle amplification (RCA)-based nested L1 polymerase chain reaction with Sanger sequencing to genotype the HPV DNA in cancer tissues of 361 GC and 89 oropharyngeal squamous cell carcinomas (OPSCC). HPV transcriptional activity was determined by E6/E7 mRNA expression and a 3\' rapid amplification of cDNA ends was performed to identify HPV integration and expression of virus-host fusion transcripts. Ten of 361 GC, 2 of 89 OPSCC, and 1 of 22 normal adjacent tissues were HPV L1 DNA-positive. Five of the 10 HPV-positive GC were genotyped as HPV16 by sequencing and 1 of 2 GC with RCA/nested HPV16 E6/E7 DNA detection exhibited HPV16 E6/E7 mRNA. Two OPSCC displayed HPV16 L1 DNA and E6/E7 mRNA, of which 1 OPSCC tissue showed virus-host RNA fusion transcripts from an intron region of KIAA0825 gene. Together, our data reveal viral oncogene expression and/or integration in GC and OPSCC and a possible etiology role of HPV infections in gastric carcinogenesis.

OBJECTIVE: The aim of this study was to characterize cervical microbiome feature of reproductive-age women in the progression of squamous intraepithelial lesions (SIL) to cervical cancer.
METHODS: We characterized the 16S rDNA cervical mucus microbiome in 94 participants (age from 18 to 52), including 13 cervical cancer (CA), 31 high-grade SIL (HSIL), 10 low-grade SIL (LSIL), 12 HPV-infected (NH) patients and 28 healthy controls (NN). Alpha (within sample) diversity was examined by Shannon and Simpson index, while Beta (between sample) diversity by principle coordinate analysis (PCoA) of weighted Unifrac distances. Relative abundance of microbial taxa was compared using Linear Discriminant Analysis Effect Size (LEfSe). Co-occurrence analysis was performed to identify correlation among marker genera, and Phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) to explore functional features and pathways of cervical microbiota.
RESULTS: Alpha diversity(p < 0.05) was higher in severer cervical pathology with lower relative abundance of Lactobacillus as well as higher of anaerobes. Beta diversity (p < 0.01) was significantly different. Marker genera were identified including Porphyromonas, Prevotella and Campylobacter of CA and Sneathia of HSIL. The correlation of differential functional pathways with Prevotella was opposite to that with Lactobacillus.
CONCLUSIONS: Our study suggests differences in cervical microbiota diversity and relative abundance of reproductive-age females in different stages of cervical carcinogenesis. Marker genera might participate in the lesion progression and will be helpful for diagnosis, prevention and treatment. These findings may lead the way to further study of the cervical microbiome in development of cervical cancer.

A complete genome sequence of human papillomaviruses (HPV) named as HPV-ujs-21015 was determined by viral metagenomic and PCR methods. The complete genome is 7354 bp in length with GC content of 41.7%, of which the genome was predicted to contain six ORFs (Open Reading Frame, ORF) coding for four early proteins (E7, E1, E4, and E2) and two late proteins (L1 and L2). Phylogenetic analysis based on the complete genome and the L1 protein showed that HPV-ujs-21015 belongs to a type 214 member within genus Gamma-6 papillomavirus. It is the first complete genome of Gamma-6 papillomavirus discovered from pregnant women in China.

UNASSIGNED: This study was to assess whether human papillomavirus (HPV) resulting in genetic instability is one reason for the high incidence and mortality of cervical cancer in Longnan.
UNASSIGNED: Between 2012 and 2016, a total of 346 samples from Longnan were collected and divided into four groups: cervicitis group (n=57), cervical intraepithelial neoplasia I group (CIN I, n=63), CIN II/III group (n=79) and invasive squamous cell carcinoma group (SCC, n=147). HPV E6/E7 mRNA was detected by Quantivirus® HPV E6/E7 RNA 3.0 assay (bDNA). The markers of DNA damage response (DDR) - ataxia telangiectasia mutated (ATM) pSer1981, H2AX pSer139 (γH2AX), Chk2 pThr68 and P53 - were analyzed by immunohistochemistry.
UNASSIGNED: The activation of ATM, γH2AX, Chk2 and P53 was increased with increasing severity of cervical lesion. A significant difference of ATM expression in simple infection was also shown accompanied by the cervical lesion. The expression of γH2AX between HPV16+ and HPV16- specimens, γH2AX and P53 between HPV58+ and HPV58- groups had statistical significance. The expression and copy number of HPV E6/7 mRNA increases with the cervical lesion severity. A significant difference was shown for P53 expression between HPV E6/7 mRNA+ and mRNA- specimens. A close correlation with CHK2 expression for HPV E6/7 mRNA+ and HPV16 E6/7 mRNA+ specimens and γH2AX and CHK2 expression for SCC specimens was shown between low and high viral load groups.
UNASSIGNED: DDR, HPV genotypes and HPV E6/E7 oncogene expression correlated with the level of dysplasia of cervical lesions. HPV infection resulted in genetic instability may be one reason for the high incidence and mortality in Longnan.

RNA-binding proteins (RBPs) control mRNA processing, stability, transport, editing, and translation. We recently conducted transcriptome analyses comparing normal (i.e., healthy) cervical tissue samples with human papillomavirus (HPV)-positive cervical cancer tissue samples and identified 614 differentially expressed protein-coding transcripts which are enriched in cancer-related pathways and consist of 95 known RBPs. We verified the altered expression of 26 genes with a cohort of 72 cervical samples, including 24 normal cervical samples, 25 cervical intraepithelial neoplasia grade 2 (CIN2) and CIN3 samples, and 23 cervical cancer tissue samples. LY6K (lymphocyte antigen 6 complex locus K), FAM83A (family member with sequence similarity 83), CELSR3, ASF1B, IQGAP3, SEMA3F, CLDN10, MSX1, CXCL5, ASRGL1, ELAVL2, GRB7, KHSRP, NOVA1, PTBP1, and RNASEH2A were identified as novel candidate genes associated with cervical lesion progression and carcinogenesis. HPV16 or HPV18 infection was found to alter the expression of 8 RBP genes (CDKN2A, ELAVL2, GRB7, HSPB1, KHSRP, NOVA1, PTBP1, and RNASEH2A) in human vaginal and foreskin keratinocytes. Both viral E6 and E7 decreased NOVA1 expression, but only E7 increased the expression of RNASEH2A in an E2F1-dependent manner. Proliferating cell nuclear antigen (PCNA) directs RNASEH2 activity with respect to DNA replication by removing the RNA primers to promote Okazaki fragment maturation, and two factors are closely associated with neoplasia progression. Therefore, we predict that the induction of expression of RNASEH2A via viral E7 and E2F1 may promote DNA replication and cancer cell proliferation.IMPORTANCE High-risk HPV infections lead to development of cervical cancer. This study identified the differential expression of 16 novel genes (LY6K, FAM83A, CELSR3, ASF1B, IQGAP3, SEMA3F, CLDN10, MSX1, CXCL5, ASRGL1, ELAVL2, GRB7, KHSRP, NOVA1, PTBP1, and RNASEH2A) in HPV-infected cervical tissue samples and keratinocytes. Eight of these genes (CDKN2A, ELAVL2, GRB7, HSPB1, KHSRP, NOVA1, PTBP1, and RNASEH2A) encode RNA-binding proteins. Further studies indicated that both HPV16 and HPV18 infections lead to the aberrant expression of selected RBP-encoding genes. We found that viral E6 and E7 decrease NOVA1 expression but that E7 increases RNASEH2A expression via E2F1. The altered expression of these genes may be utilized as biomarkers for high-risk (HR)-HPV carcinogenesis and progression.

Human papillomaviruses (HPV) are the first viruses to have been acknowledged to prompt carcinogenesis, and they are linked with cancers of the uterine cervix, anogenital tumors, and head and neck malignancies. This paper examines the structure and primary genomic attributes of HPV and highlights the clinical participation of the primary HPV serotypes, focusing on the roles that HPV-16 and 18 play in carcinogenesis. The mechanisms that take place in the progression of cervical neoplasia are described. The oncogenic proteins E6 and E7 disrupt control of the cell cycle by their communication with p53 and retinoblastoma protein. Epidemiological factors, diagnostic tools, and management of the disease are examined in this manuscript, as are the vaccines currently marketed to protect against viral infection. We offer insights into ongoing research on the roles that oxidative stress and microRNAs play in cervical carcinogenesis since such studies may lead to novel methods of diagnosis and treatment. Several of these topics are surfacing as being critical for future study. One particular area of importance is the study of the mechanisms involved in the modulation of infection and cancer development at cervical sites. HPV-induced cancers may be vulnerable to immune therapy, offering the chance to treat advanced cervical disease. We propose that oxidative stress, mRNA, and the mechanisms of HPV infection will be critical points for HPV cancer research over the next decade.

Current human papillomavirus (HPV)16 DNA testing has high sensitivity but low specificity, while mRNA testing (qualitative) improves the specificity. However, both techniques are not able to discriminate between transient and persistent infections. To overcome the disadvantages, we quantitatively detected E6 and E7 mRNAs by quantitative real-time polymerase chain reaction (qRT-PCR) in cervical brushing cells from 87 HPV16+ and 31 HPV16- patients. Our results showed that the expression levels of E6 mRNA or E7 mRNA were significantly increased in HPV16-positive cases than that in the negative cases. Furthermore, in HPV16+ cases, the expression levels of E6 mRNA were significantly increased in invasive cancer compared with high-grade squamous intraepithelial lesion (HSIL; p < 0.01), and HSIL compared with low-grade squamous intraepithelial lesion (LSIL; p < 0.01). There were no significant changes between LSIL and benign lesions. The expression levels of E7 mRNA presented no significant difference among the above-mentioned four groups. To test whether qRT-PCR can discriminate between transient and persistent infections, 57 HPV16+ patients were followed up for 1 year, and our results demonstrated that the expression levels of both E6 mRNA and E7 mRNA in the persistent infection group were significantly increased relative to the transient infection group ( p < 0.01 or 0.05). Thus, a quantitative detection of the expression levels of E6 mRNA in cervical brushing cells may not only be used as an ancillary tool to cytological diagnosis of cervical neoplasia, but may also help to determine the severity of the lesions and the triage of transient infection.

BACKGROUND: The mortality of cervical cancer in Longnan is as high as 39/10 million, ranking first in China.
METHODS: Between 2012 to 2016, 329 samples with cervicitis, cervical intraepithelial neoplasia grade 1 to 3 (CINI to III), and invasive squamous cell carcinoma (SCC) were collected. HPV genotypes were examined with a validated kit for 23 different HPV subtypes.
RESULTS: Compared to cervicitis, the HPV positivity is significantly higher in CINI, CIN II/III, and SCC (38.60%, 74.60%, 87.50% and 89.05%, P < 0.001) and the positivity is also higher in SCC compared to CINI (P < 0.01). The most frequently detected genotypes were HPV16 in cervicitis, HPV16, 58 and 52 in CINI and CIN II/III, and HPV16, 58 and 18 in SCC groups. HPV16 positivity in cervicitis, CINI, CIN II/III, and SCC patients were 45.46%, 46.81%, 60.32% and 78.69%, respectively. Compared to cervicitis and CINI, the odds ratios (OR) for SCC in HPV16 positive patients were 2.96 (95% confidence interval [CI]: 1.09-8.00, P < 0.05) and 4.20 (95% confidence interval [CI]: 2.05-8.61, P < 0.001), respectively. In addition, the multiple infections in cervicitis, CINI, CINII/III and SCC group are 9.09%, 27.66%, 26.98% and 25.41% and HPV16 + 58 was the most common combinations.
CONCLUSIONS: These findings highlight the key role of HPV16, 58, 52 and 18 in the development of CIN and SCC in Longnan women and a fully aware of regional differences in HPV genotype distribution are tasks for cervical cancer control and prevention.

The interaction of virus proteins with host proteins plays a key role in viral infection and consequent pathogenesis. Many computational methods have been proposed to predict protein-protein interactions (PPIs), but most of the computational methods are intended for PPIs within a species rather than PPIs across different species such as virus-host PPIs. We developed a method that represents key features of virus and human proteins of variable length into a feature vector of fixed length. The key features include the relative frequency of amino acid triplets (RFAT), the frequency difference of amino acid triplets (FDAT) between virus and host proteins, and amino acid composition (AC). We constructed several support vector machine (SVM) models to evaluate our method and to compare our method with others on PPIs between human and two types of viruses: human papillomaviruses (HPV) and hepatitis C virus (HCV). Comparison of our method to others with same datasets of HPV-human PPIs and HCV-human PPIs showed that the performance of our method is significantly higher than others in all performance measures. Using the SVM model with gene ontology (GO) annotations of proteins, we predicted new HPV-human PPIs. We believe our approach will be useful in predicting heterogeneous PPIs.