Multiple-integrations of HPV16 genome and altered transcription of viral oncogenes and cellular genes are associated with the development of cervical cancer

HPV-driven oncogenesis-much more than the E6 and E7 oncoproteins

High-risk human papillomaviruses are well-established drivers of several cancer types including cervical, head and neck, penile as well as anal cancers. While the E6 and E7 viral oncoproteins have proven to be critical for malignant transformation, evidence is also beginning to emerge suggesting that both host pathways and additional viral genes may also be pivotal for malignant transformation. Here, we focus on the role of host APOBEC genes, which have an important role in molecular editing including in the response to the viral DNA and their role in HPV-driven carcinogenesis. Further, we also discuss data developed suggesting the existence of HPV-derived miRNAs in HPV + tumors and their potential role in regulating the host transcriptome. Collectively, while recent advances in these two areas have added complexity to the working model of papillomavirus-induced oncogenesis, these discoveries have also shed a light onto new areas of research that will be required to fully understand the process.

Identification of novel genomic hotspots and tumor-relevant genes via comprehensive analysis of HPV integration in Chinese patients of cervical cancer

Cervical cancer accounts for 10-15% of cancer-related mortality among women globally. Infection with high-risk human papillomavirus (HPV) types constitutes a significant etiological factor in the development of cervical carcinoma. The integration of HPV DNA into the host genome is considered a pivotal event in cervical carcinogenesis. Nevertheless, the precise mechanisms underlying HPV integration and its role in promoting cancer progression remain inadequately understood. Therefore, this study aims to identify potential common denominators at HPV DNA integration sites and to analyze the adjacent cellular sequences. We conducted whole-genome sequencing on 13 primary cervical cancer samples, employing the chromosomal coordinates of 537 breakpoints to assess the statistical overrepresentation of integration sites in relation to various chromatin features. Our analysis, which encompassed all chromosomes, identified several integration hotspots within the human genome, notably at 14q32.2, 10p15, and 2q37. Additionally, our findings indicated a preferential integration of HPV DNA into intragenic and gene-dense regions of human chromosomes. A substantial number of host cellular genes impacted by the integration sites were associated with cancer, including IKZF2, IL26, AHRR, and PDCD6. Furthermore, the cellular genes targeted by integration were enriched in tumor-related terms and pathways, as demonstrated by gene ontology and KEGG analysis. In conclusion, these findings enhance our understanding of HPV integration sites and provide deeper insights into the molecular mechanisms underlying the pathogenesis of cervical carcinoma.

Protective Mechanisms of Vaginal Lactobacilli against Sexually Transmitted Viral Infections

The healthy cervicovaginal microbiota is dominated by various Lactobacillus species, which support a condition of eubiosis. Among their many functions, vaginal lactobacilli contribute to the maintenance of an acidic pH, produce antimicrobial compounds, and modulate the host immune response to protect against vaginal bacterial and fungal infections. Increasing evidence suggests that these beneficial bacteria may also confer protection against sexually transmitted infections (STIs) caused by viruses such as human papillomavirus (HPV), human immunodeficiency virus (HIV) and herpes simplex virus (HSV). Viral STIs pose a substantial public health burden globally, causing a range of infectious diseases with potentially severe consequences. Understanding the molecular mechanisms by which lactobacilli exert their protective effects against viral STIs is paramount for the development of novel preventive and therapeutic strategies. This review aims to provide more recent insights into the intricate interactions between lactobacilli and viral STIs, exploring their impact on the vaginal microenvironment, host immune response, viral infectivity and pathogenesis, and highlighting their potential implications for public health interventions and clinical management strategies.

Detection of HPV and Human Chromosome Sites by Dual-Color Fluorescence In Situ Hybridization Reveals Recurrent HPV Integration Sites and Heterogeneity in Cervical Cancer

Human papillomavirus (HPV) integration in the human genome is suggested to be an important cause of cervical cancer. With the development of sequencing technologies, an increasing number of integration “hotspots” have been identified. However, this HPV integration information was derived from analysis of whole cervical cancer tissue, and we know very little about the integration in different cancer cell subgroups or individual cancer cells. This study optimized the preparation of probes and provided a dual-color fluorescence in situ hybridization (FISH) method to detect HPV integration sites in paraffin-embedded cervical cancer samples. We used both HPV probes and site-specific probes: 3p14 (FHIT), 8q24 (MYC), 13q22 (KLF5/KLF12), 3q28 (TP63), and 5p15 (TERT). We detected HPV signals in 75 of the 96 cases of cervical cancer; 62 cases showed punctate signals, and 13 cases showed diffuse punctate signals. We identified 3p14 as a high-frequency HPV integration site in 4 cervical cancer cases. HPV integration at 8p14 occurred in 2 cases of cervical cancer. In the same cervical cancer tissue of sample No.1321, two distinct subgroups of cells were observed based on the HPV probe but showed no difference in cell and nucleus morphology. Our study provides a new method to investigate the frequent HPV integration sites in cervical cancer and reports the heterogeneity within cervical cancer from the perspective of HPV integration.

Broad-Range Papillomavirus Transcriptome as a Biomarker of Papillomavirus-Associated Cervical High-Grade Cytology

Human papillomaviruses (HPVs) are responsible for >99% of cervical cancers. Molecular diagnostic tests based on the detection of viral DNA or RNA have low positive predictive values for the identification of cancer or precancerous lesions. Triage with the Papanicolaou test lacks sensitivity; and even when combined with molecular detection of high-risk HPV, this results in a significant number of unnecessary colposcopies. We have developed a broad-range detection test of HPV transcripts to take a snapshot of the transcriptome of 16 high-risk or putative high-risk HPVs in cervical lesions (HPVs 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68, 73, and 82). The purpose of this novel molecular assay, named HPV RNA-Seq, is to detect and type HPV-positive samples and to determine a combination of HPV reads at certain specific viral spliced junctions that can better correlate with high-grade cytology, reflecting the presence of precancerous cells. In a proof-of-concept study conducted on 55 patients, starting from cervical smears, we have shown that HPV RNA-Seq can detect papillomaviruses with performances comparable to a widely used HPV reference molecular diagnostic kit; and a combination of the number of sequencing reads at specific early versus late HPV transcripts can be used as a marker of high-grade cytology, with encouraging diagnostic performances as a triage test.

Integration sites of human papillomavirus 18 in esophageal cancer samples

To investigate the association between human papillomavirus (HPV) infection and esophageal cancer, genomic DNA was isolated from 189 samples obtained from patients with esophageal carcinoma, and HPV DNA was identified using the polymerase chain reaction (PCR) with the following specific primers: My09/11 for HPV L1 and HPV18 E6 for HPV18. The HPV18 gene products were sequenced to identify the HPV genotype and the HPV18 integration site was verified using PCR amplification of papillomavirus oncogene transcripts. HPV18 oncogene transcript products were ligated into a pMD-18T plasmid vector and sequenced to confirm the physical location of HPV18 integration. Of the 189 samples, 168 were positive for HPV, of which 33 were positive for HPV18. The sequencing analysis identified two HPV18 E6-positive samples containing one mutation and two samples containing two mutations in the viral DNA. In total ~600 bp of the HPV18 oncogene transcript was detected in three esophageal cancer samples. Sequence analysis revealed that, in two patients, the HPV18 infection was integrated into human chromosome 5, whereas in the remaining sample the virus was integrated into human chromosome 2. The high prevalence of HPV18 infection suggested that HPV18 infection is a pathogenic factor in esophageal carcinoma progression. The integration of HPV18 DNA into the host cell genome suggests that persistent HPV infection has a role in esophageal epithelial cell malignant transformation and carcinogenesis.

Proportion of transcriptionally active DNA virus integrants: a meta-analysis

Oncoviruses are collectively responsible for over 1,000,000 new cases of cancer per year; some can integrate into the host's chromosomes. The present work was aimed at assessing the proportion of transcriptionally active viral integrants through a systematic review of the scientific publications present on the MedLine database. From the articles screened, 628 viral integrants overall were retrieved, of which 530.84 were transcriptionally active (84.53%); among the clinical samples, 264 of 323 integrants were active (81.73%). The causes for the silencing were not addressed in the articles analyzed. These findings might highlight a possible risk factor for the insurgence of cancer since some oncovirus integrants could be reactivated by stimuli of disparate nature. Further studies should address such possibility.

APOBEC-mediated genomic alterations link immunity and viral infection during human papillomavirus-driven cervical carcinogenesis

Cervical cancer is one of the most frequently diagnosed cancers and is a major cause of death from gynecologic cancers worldwide; the cancer burden from cervical cancer is especially heavy in less developed countries. Most cases of cervical cancer are caused by persistent infection with carcinogenic human papillomavirus (HPV) genotypes 16 and 18. Non-resolving inflammation caused by HPV infection provides a microenvironment that facilitates cancer development. Molecular alterations during the process of HPV-induced carcinogenesis are characterized by DNA methylation within the HPV genome, promoter hypermethylation of tumor suppressor genes in the host genome, as well as genomic instability caused by viral DNA integrating into the host genome. Catalytic polypeptide-like apolipoprotein B mRNA editing enzymes (APOBECs) normally function as part of the innate immune system. APOBEC expression is stimulated upon viral infection and plays an important role in HPV-induced cervical cancer. APOBECs catalyze the deamination of cytosine bases in nucleic acids, which leads to a conversion of target cytosine (C) to uracil (U) and consequently a change in the single-stranded DNA/RNA sequence. APOBEC proteins mediate the complex interactions between HPV and the host genome and link immunity and viral infection during HPV-driven carcinogenesis. Understanding the effects of APOBECs in HPV-induced cervical carcinogenesis will enable the development of better tools for HPV infection control and personalized prevention and treatment strategies.

Different Association of Human Papillomavirus 16 Variants with Early and Late Presentation of Cervical Cancer

The median age of cervical cancer (CC) presentation coincides with the mean age of menopause presentation (49 years) in Mexico. Here, we investigated the association between different HPV16 variants and early (≤ 49 years) or delayed (≥ 50 years) CC presentation. We conducted a case-case study that included 462 CCs, 386 squamous cell carcinomas (SCC), 63 adenocarcinomas (ACC), and 13 additional cell types. Variants were identified by PCR and DNA sequencing. The risk conferred by each variant for developing CC earlier than 50 years was analyzed using a univariate logistic regression model considering old-aged patients (≥ 50 years) and non-HPV16 cases as the reference variables. Overall, the frequency of HPV16 was 50.9%, and the only identified variants were the European A1/2 (31.2%) and the Asian-American D2 (10.8%), and D3 (8.9%). D2 was mainly associated with ≤ 49-year-old patients (15.9%); A1/2 was uniformly distributed between the two age groups (~31%), whereas D3 increased with age to a frequency of 11.8% in the older group. Only the D2 variant conferred a 3.3-fold increase in the risk of developing CC before 50 years of age (OR = 3.3, 95% CI = 1.7-6.6, p < 0.001) in relation with non-HPV16 cases. Remarkably, this risk was higher for ACC (OR = 6.0, 95% CI = 1.1-33, p < 0.05) than for SCC (OR = 2.8, 95% CI = 1.3-5.9, p < 0.01). Interestingly, when analyzing only the HPV16-positive CC, D2 increases (OR = 2.5, 95% CI = 1.2-5, p < 0.05) and D3 decreases (OR = 0.45, 95% CI 0.2-0.9, p < 0.05) the risk to develop CC before 50 years old in relation with A1/2 variant. These results indicated that D2 variant is associated with early and D3 with delayed CC presentation, whereas A1/2 variant was uniformly distributed between the two age groups.

Genomic characterization of viral integration sites in HPV-related cancers

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.

MicroRNA miR-16-1 regulates CCNE1 (cyclin E1) gene expression in human cervical cancer cells

MicroRNAs are involved in diverse biological processes through regulation of gene expression. The microRNA profile has been shown to be altered in cervical cancer (CC). MiR-16-1 belongs to the miR-16 cluster and has been implicated in various aspects of carcinogenesis including cell proliferation and regulation of apoptosis; however, its function and molecular mechanism in CC is not clear. Cyclin E1 (CCNE1) is a positive regulator of the cell cycle that controls the transition of cells from G1 to S phase. In CC, CCNE1 expression is frequently upregulated, and is an indicator for poor outcome in squamous cell carcinomas (SCCs). Thus, in the present brief communication, we determine whether the CCNE1 gene is regulated by miR-16-1 in CC cells. To identify the downstream cellular target genes for upstream miR-16-1, we silenced endogenous miR-16-1 expression in cell lines derived from CC (C-33 A HPV-, CaSki HPV16+, SiHa HPV16+, and HeLa HPV18+ cells), using siRNAs expressed in plasmids. Using a combined bioinformatic analysis and RT-qPCR, we determined that the CCNE1 gene is targeted by miR-16-1 in CC cells. SiHa, CaSki, and HeLa cells demonstrated an inverse correlation between miR-16-1 expression and CCNE1 mRNA level. Thus, miR-16-1 post-transcriptionally down-regulates CCNE1 gene expression. These results, suggest that miR-16-1 plays a vital role in modulating cell cycle processes in CC.