HPV genotyping and site of viral integration in cervical cancers in Indian women.
Ontology highlight
ABSTRACT:
SUBMITTER: Das P
PROVIDER: S-EPMC3397968 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Persistent infection with carcinogenic human papillomaviruses (HPV) causes the majority of anogenital cancers and a subset of head and neck cancers. The HPV genome is frequently found integrated into the host genome of invasive cancers. The mechanisms of how it may promote disease progression are not well understood. Thoroughly characterizing integration events can provide insights into HPV carcinogenesis. Individual studies have reported limited number of integration sites in cell lines and human samples. We performed a systematic review of published integration sites in HPV-related cancers and conducted a pooled analysis to formally test for integration hotspots and genomic features enriched in integration events using data from the Encyclopedia of DNA Elements (ENCODE). Over 1,500 integration sites were reported in the literature, of which 90.8% (N = 1,407) were in human tissues. We found 10 cytobands enriched for integration events, three previously reported ones (3q28, 8q24.21 and 13q22.1) and seven additional ones (2q22.3, 3p14.2, 8q24.22, 14q24.1, 17p11.1, 17q23.1 and 17q23.2). Cervical infections with HPV18 were more likely to have breakpoints in 8q24.21 (p = 7.68 × 10(-4) ) than those with HPV16. Overall, integration sites were more likely to be in gene regions than expected by chance (p = 6.93 × 10(-9) ). They were also significantly closer to CpG regions, fragile sites, transcriptionally active regions and enhancers. Few integration events occurred within 50 Kb of known cervical cancer driver genes. This suggests that HPV integrates in accessible regions of the genome, preferentially genes and enhancers, which may affect the expression of target genes.
| S-EPMC6749823 | biostudies-literature
Project description:BackgroundCervical cancer (CC) remains a leading cause of gynaecological cancer-related mortality with infection by human papilloma virus (HPV) being the most important risk factor. We analysed the association between different viral integration signatures, clinical parameters and outcome in pre-treated CCs.MethodsDifferent integration signatures were identified using HPV double capture followed by next-generation sequencing (NGS) in 272 CC patients from the BioRAIDs study [NCT02428842]. Correlations between HPV integration signatures and clinical, biological and molecular features were assessed.ResultsEpisomal HPV was much less frequent in CC as compared to anal carcinoma (p?<?0.0001). We identified >300 different HPV-chromosomal junctions (inter- or intra-genic). The most frequent integration site in CC was in MACROD2 gene followed by MIPOL1/TTC6 and TP63. HPV integration signatures were not associated with histological subtype, FIGO staging, treatment or PFS. HPVs were more frequently episomal in PIK3CA mutated tumours (p?=?0.023). Viral integration type was dependent on HPV genotype (p?<?0.0001); HPV18 and HPV45 being always integrated. High HPV copy number was associated with longer PFS (p?=?0.011).ConclusionsThis is to our knowledge the first study assessing the prognostic value of HPV integration in a prospectively annotated CC cohort, which detects a hotspot of HPV integration at MACROD2; involved in impaired PARP1 activity and chromosome instability.
| S-EPMC7884736 | biostudies-literature
Project description:BACKGROUND:The aim was to estimate the risk of subsequent extra-cervical Human Papillomavirus (HPV) related cancer in patients surgically treated for high grade cervical intraepithelial neoplasia (CIN 2-3). This is the first study in Italy investigating the occurrence of extra-cervical tumors in this cohort of patients. METHODS:3184 patients surgically treated for CIN2-3 since 1992 at the Department of Surgical Sciences of University of Torino were considered. The risk of HPV-related cancer was calculated as Standardized Incidence Ratio (SIR), using as expected values tumour age specific incidence of resident population. RESULTS:173?second primary cancer (SCPs) were identified. SIR to develop cancer after treatment for CIN2-3 was 2.2 (CI 95% 1.89-2.50). Among these occurrences, 10 are in HPV related sites: 1 anus (SIR?=?1.8; 0.04-10.0), 3 vagina (SIR?=?12.4; 2.56-36.3), 1 vulva (SIR?=?1.7; 0.04-9.59), 5 oropharynx (SIR?=?8.5; 2.76-19.8). Significant risk has been also recorded for pulmonary (SIR?=?3.1; 0.70-5.27) and bladder (SIR?=?4.05; 1.10-10.56), with smoking as possible cofactor. We also found increased risk for breast (SIR?=?2.4; 2.07-2.84) and ovarian cancers (SIR?=?2.1; 1.13-3.49), probably due to an higher adherence to spontaneous and programmed screening programs. CONCLUSIONS:Our study supports the hypothesis of an increased risk of HPV-related tumours for CIN treated patients, mostly for CIN3. It is conceivable the need of early diagnosis for these cancers in this higher-risk populations.
| S-EPMC7542855 | biostudies-literature
Project description:HPV-DNA integration results in dysregulation of viral oncogene expression. Because viral-cellular fusion transcripts inherently lack the viral AU-rich elements of the 3'UTR, they are considered to be more stable than episome-derived transcripts. The aim of this study is to provide formal proof for this assumption by comparing the stability of viral early transcripts derived from episomal and integrated HPV16 DNA, respectively. Full-length cDNA of three fusion transcripts comprising viral and cellular sequences in sense orientation were amplified and cloned into the adeno-viral-vector pAd/CMV/V5-DEST. The most abundant HPV16 oncogene transcript E6*I-E7-E1vE4-E5 with and without 3'UTR, served as reference and control, respectively. Human primary keratinocytes were transduced using high titer virus stocks. qRT-PCR was performed to determine mRNA stability in relation to GAPDH in the presence of actinomycin-D. In four independent transduction experiments, all three viral-cellular fusion transcripts were significantly more stable compared to the episome-derived reference. Among the three viral-cellular fusion transcripts the most stable transcript was devoid of the instability core motif "AUUUA". Unexpectedly, there was no significant difference in the stability between the episome-derived transcripts either with or without 3'UTR, indicating that the AU-rich elements of the 3'UTR are not contributing to RNA stability. Instead, the three "AUUUA" motifs located in the untranslated region between the viral E4 and E5 genes may be responsible for the instability. This is the first report showing that authentic viral-cellular fusion transcripts are more stable than episome-derived transcripts. The longer half-life of the fusion transcripts may result in increased levels of viral oncoproteins and thereby drive the carcinogenic process.
| S-EPMC6981427 | biostudies-literature
Project description:The focus for HPV genotyping has largely been on types 16 and 18, based on their high prevalence in cervix cancer. However screening is focussed on the detection of high grade precursor lesions (CIN3 and CIN2), where other types have a greater role. While HPV16 retains its high predictive value in this context, HPV31 and especially HPV33 emerge as important types with higher positive predictive values (PPVs) than HPV18. Additionally full typing indicates that types 39, 56, 59 and 68 have much lower PPVs than types 16, 18, 31, 33, 35, 45, 51, 52 and 58 and they should be considered as 'intermediate risk' types, whereas type 66 should not be treated as having an increased risk. Available data are summarized to support this view.
| S-EPMC5886893 | biostudies-other
Project description:Objective The relationship between human papillomavirus (HPV) and cervical lesions has been extensively elucidated, but infection with multiple genotypes is less investigated due to methodology limitations. In the current study, with a method of genotyping 21 HPVs in a routine cervical screening population, we aimed to investigate the prevalence and diversity of HPV infections in Chinese women and further evaluate the impact of multiple infections of HPV on cervical lesion progression. Methods Totally, 73,596 patients who underwent 21-genotype HPV testing from January 2018 to April 2019 were retrieved from the database of the Department of Pathology, Obstetrics and Gynecology Hospital of Fudan University. HPV testing was performed by real-time PCR assay, including 13 high-risk HPVs (hrHPV), 5 potential hrHPVs, and 3 low-risk HPVs. Results Of the 17,079 (infection rate, 23.2%) hrHPV- or potential hrHPV- (hr/phrHPV-) positive cases, 26.3% had multiple infections. Women younger than 25 and older than 65 were more prone to multiple infections. Of the hr/phrHPV-positive cases involving cervical intraepithelial neoplasia (CIN) 2 or worse (CIN2+), HPV73, 53, and 66 (=59) were the top three genotypes most likely to be included in multiple infections, while HPV16, 18, and 58 were the 3 least. Patients with single infection of HPV16 had higher incidences of CIN2+ than those with multiple-infection pattern (P < 0.001), indicating that mixing with other genotypes alleviated pathogenicity. The infection of HPV52, 53, 56, 51, 39, 66, 59, 68, and 35 showed an opposite pattern, indicating that they were less likely to be pathogens individually. All other types showed no significant differences, indicating the capability of pathogenesis independently. HPV26 showed a higher OR for CIN2+ than most traditional hrHPV genotypes. The vial load and the percentage of HPV16 showed positive correlation with the severity of cervical lesions. Conclusion Extensive genotyping identified 3 most frequent genotypes, HPV16, 52, and 58, in CIN2+ of Chinese population. HPV16 mixing with other genotypes alleviated its pathogenicity. The vial load and the percentage of HPV16 were positively correlated with the severity of cervical lesions. HPV26 may be considered as a hrHPV, which needs to be evaluated and confirmed by more cases.
| S-EPMC9205720 | biostudies-literature
Project description:Human papillomavirus (HPV) integration within the host genome may contribute to carcinogenesis through various disruptive mechanisms. With next-generation sequencing (NGS), identification of viral and host genomic breakpoints and chimeric sequences are now possible. However, a simple, streamlined bioinformatics workflow has been non-existent until recently. Here, we tested two new, automated workflows in CLC Microbial Genomics, i.e., Viral Hybrid Capture (VHC) Data Analysis and Viral Integration Site (VIS) Identification for software performance and efficiency. The workflows embedded with HPV and human reference genomes were used to analyze a publicly available NGS dataset derived from pre- and cancerous HPV+ cervical cytology of 21 Gabonese women. The VHC and VIS workflow median runtimes were 19 and 7 min per sample, respectively. The VIS dynamic graphical outputs included read mappings, virus-host genomic breakpoints, and virus-host integration circular plots. Key findings, including disrupted and nearby genes, were summarized in an auto-generated report. Overall, the VHC and VIS workflows proved to be a rapid and accurate means of localizing viral-host integration site(s) and identifying disrupted and neighboring human genes. Applying HPV VIS-mapping to pre- or invasive tumors will advance our understanding of viral oncogenesis and facilitate the discovery of prognostic biomarkers and therapeutic targets.
| S-EPMC9331699 | biostudies-literature
Project description:AimsTo devise nested multiplex polymerase chain reaction (NMPCR) protocol for detection of mucosal human papilloma viruses (HPVs) and typing of HPV-16 and -18 in formalin-fixed, paraffin-embedded (FFPE) tissues of carcinoma cervix (CaCx).Settings and designCross-sectional observational study.Materials and methodsNMPCR was done for simultaneous detection of HPV, targeting 134 bp L1 capsid gene employing GP+/mGP+ primers and typing of genotypes-16 and -18, targeting E6/E7 gene from 34 FFPE tissue blocks of CaCx and cervical intraepithelial neoplasia (CIN). Detection of 142 bp consensus sequence of L1 capsid gene was performed by nested PCR employing MY/GP+ primers. Sequencing of selected PCR amplicons of the later protocol obtained from control cell line DNA and 5 select samples were done for validation of the NMPCR protocol.Statistical analysis usedCalculation of percentage from the Microsoft Excel Software.ResultsOf 26 FFPE samples of CaCx, 17 (65.3%) samples were found positive for HPV by NMPCR. Amplicons of 142 bp L1 capsid gene employing MY/GP+ primers were observed in 11 (42.3%) samples of CaCx. Nearly 25% samples of CIN were positive for HPV. On sequence analysis, it was observed that the sample typed as HPV-16 by NMPCR was found to be the same on sequencing of amplicons obtained after MY/GP+ nested PCR.ConclusionsThis study indicates the usefulness of our NMPCR protocol for detection of mucosal HPVs and typing of HPV-16 and -18 from FFPE tissue samples of CaCx. The NMPCR protocol may be used to detect HPV and type common genotypes-16 and -18 in fresh tissue of cervical biopsy or scrape samples for screening of CaCx.
| S-EPMC4997793 | biostudies-literature
Project description:Persistent high-risk human papillomavirus (HR-HPV) infections play a major role in the development of invasive cervical cancer (CC), and screening for such infections is in many countries the primary method of detecting and preventing CC. HPV typing can be used for triage and risk stratification of women with atypical squamous cells of undetermined significance (ASC-US)/low-grade cervical lesions (LSIL), though the current clinical practice in Mexico is to diagnose CC or its preceding conditions mainly via histology and HR-HPV detection. Additional information regarding these HPV infections, such as viral load and co-infecting agents, might also be useful for diagnosing, predicting, and evaluating the possible consequences of the infection and of its prevention by vaccination. The goal of this follow-up hospital case study was to determine if HPV types, multiple HPV infections, and viral loads were associated with infection persistence and the cervical lesion grade. A total of 294 cervical cytology samples drawn from patients with gynecological alterations were used in this study. HPV types were identified by real-time PCR DNA analysis. A subset of HPV-positive patients was reevaluated to identify persistent infections. We identified HPV types 16, 18, and 39 as the most prevalent. One hundred five of the patients (59%) were infected with more than one type of HPV. The types of HPV associated with multiple HPV infections were 16, 18, and 39. In the follow-up samples, 38% of patients had not cleared the initially detected HPV infection, and these were considered persistent. We found here an association between multiple HPV infections and high viral loads with and infection persistence. Our findings suggest there are benefits in ascertaining viral load and multiple HPV infections status of HR-HPV infections for predicting the risk of persistence, a requirement for developing CC. These findings contribute to our understanding of HPV epidemiology and may allow screening programs to better assess the cancer-developing risks associated with individual HR-HPV infections.
| S-EPMC7232502 | biostudies-literature
Project description:BackgroundHuman papillomavirus (HPV) initiates cervical cancer, and continuous expression of HPV oncogenes E6 and E7 is thought to be necessary to maintain malignant growth. Current therapies target proliferating cells, rather than specific pathways, and most experimental therapies specifically target E6/E7. We investigated the presence and expression of HPV in cervical cancer, to correlate HPV oncogene expression with clinical and molecular features of these tumors that may be relevant to new targeted therapies.ResultsWhile virtually all cervical cancers contained HPV DNA, and most expressed E6/E7 (HPV-active), a subset (8%) of HPV DNA-positive cervical cancers did not express HPV transcripts (HPV-inactive). HPV-inactive tumors occurred in older women (median 54 vs. 45 years, p = 0.02) and were associated with poorer survival (median 715 vs 3046 days, p = 0.0003). Gene expression profiles of HPV-active and -inactive tumors were distinct. HPV-active tumors expressed E2F target genes and increased AKT/MTOR signaling. HPV-inactive tumors had increased WNT/β-catenin and Sonic Hedgehog signaling. Substantial genome-wide differences in DNA methylation were observed. HPV-inactive tumors had a global decrease in DNA methylation; however, many promoter-associated CpGs were hypermethylated. Many inflammatory response genes showed promoter methylation and decreased expression. The somatic mutation landscapes were significantly different. HPV-active tumors carried few somatic mutations in driver genes, whereas HPV-inactive tumors were enriched for non-synonymous somatic mutations (p-value < 0.0000001) specifically targeting TP53, ARID, WNT, and PI3K pathways.Materials and methodsThe Cancer Genome Atlas (TCGA) cervical cancer data were analyzed.ConclusionsMany of the gene expression changes and somatic mutations found in HPV-inactive tumors alter pathways for which targeted therapeutics are available. Treatment strategies focused on WNT, PI3K, or TP53 mutations may be effective against HPV-inactive tumors and could improve survival for these cervical cancer patients.
| S-EPMC5355105 | biostudies-literature