Variants in human papillomavirus receptor and associated genes are associated with type-specific HPV infection and lesion progression of the cervix

A multi-variable predictive warning model for cervical cancer using clinical and SNPs data

Introduction

Cervical cancer is the fourth most common cancer among female worldwide. Early detection and intervention are essential. This study aims to construct an early predictive warning model for cervical cancer and precancerous lesions utilizing clinical data and simple nucleotide polymorphisms (SNPs).

Methods

Clinical data and germline SNPs were collected from 472 participants. Univariate logistic regression, least absolute shrinkage selection operator (LASSO), and stepwise regression were performed to screen variables. Logistic regression (LR), support vector machine (SVM), random forest (RF), decision tree (DT), extreme gradient boosting(XGBoost) and neural network(NN) were applied to establish models. The receiver operating characteristic (ROC) curve was used to compare the models' efficiencies. The performance of models was validated using decision curve analysis (DCA).

Results

The LR model, which included 6 SNPs and 2 clinical variables as independent risk factors for cervical carcinogenesis, was ultimately chosen as the most optimal model. The DCA showed that the LR model had a good clinical application.

Discussion

The predictive model effectively foresees cervical cancer risk using clinical and SNP data, aiding in planning timely interventions. It provides a transparent tool for refining clinical decisions in cervical cancer management.

Is an oropharyngeal HPV infection more frequently detectable in women with a genital HPV infection?

PURPOSE

If not eliminated by the immune system and persisting over years, oropharyngeal high-risk HPV infection can lead to cancer development in the oropharynx. HPV infection is very commonly found in the genital region and can serve as an HPV reservoir. In this study, we investigate whether women with a genital HPV infection are at a higher risk of harboring an undetected oropharyngeal HPV infection via genital-oropharyngeal transmission.

METHODS

Women presenting for routine gynecological checkups were included in this study. All participants received an HPV brush test from the genital region as well as from the oropharynx. Additionally, probable risk factors for an HPV infection were assessed in a structured questionnaire.

RESULTS

142 women were included in this study. The rate of oropharyngeal HPV infection was low with 2/142 (1,4%) women positive for a low-risk HPV genotype. In the genital brush test, 54/142 (38%) women were tested HPV positive of which 41/142 (29%) were positive for a high-risk HPV genotype.

CONCLUSIONS

The rate of an oropharyngeal HPV detection in our population was low with 2/142 women harboring a low-risk HPV infection.

The Significance of Human Papillomavirus Receptors Related Genetic Variants in Cervical Cancer Screening

To investigate the relationship between single nucleotide polymorphisms (SNPs) in human papillomavirus (HPV) receptor associated genes and HPV susceptibility and clinical outcomes in Chinese women, from October 2016 to March 2020, a total of 3,066 women were recruited for a 3-year prospective population-based cervical cancer screening clinical trial. The primary endpoint was histological cervical intraepithelial neoplasia 2 and worse (CIN2+). Twenty-nine SNPs of HPV receptor associated genes on women with available cytology residual samples at baseline were detected using MALDI-TOF MS. Eligible data were available for 2,938 women. Rs16894821 (GG versus AA, OR =1.71 [1.08 to 2.69]) and rs724236 (TT versus AA, OR = 1.73 [1.14 to 2.62]) in SDC2 were significantly related to the HPV susceptibility. And rs2575712 (TT versus GG, OR = 2.78 [1.22 to 6.36]) in SDC2 was associated with increased HPV 16/18 susceptibility. Four SNPs (rs1047057 and rs10510097 in FGFR2 gene, rs2575735 in SDC2 gene, and rs878949 in HSPG2 gene) were significantly associated with persistent HPV infection. Importantly, the genotypes of rs16894821 under recessive model (GG versus AA/AG, OR = 2.40 [1.12 to 5.15]) in SDC2 and rs11199993 under dominant model (GC/CC versus GG, OR = 1.64 [1.01 to 2.68]) in FGFR2 were significantly associated with the disease progression. Finally, SNPs showed comparable efficacy in detecting CIN2+ for the women infected with non-HPV16/18 compared with cervical cytology (sensitivity: 0.51 [0.36 to 0.66] versus 0.44 [0.30 to 0.60], specificity: 0.96 [0.96 to 0.97] versus 0.98 [0.97 to 0.99], positive predictive value: 0.23 [0.15 to 0.33] versus 0.33 [0.22 to 0.47], and negative predictive value: 0.99 [0.98 to 0.99] versus 0.99 [0.98 to 0.99]). SNPs in HPV receptor related genes may influence HPV susceptibilities and clinical outcomes in Chinese women. IMPORTANCE Virus receptors are known to mediate virus attachment and further lead to virus infection of the host cells. In the current study, we investigated the relationship between single nucleotide polymorphisms (SNPs) in human papillomavirus (HPV) receptor associated genes and HPV susceptibility and clinical outcomes in Chinese women, and to explore the new triaging strategy for non-16/18 high-risk HPV infection.

Association of TLR4 and TLR9 gene polymorphisms with the risk and progression of cervical lesions in HPV-infected women

Aim: Toll-like receptors involved in tumor-associated inflammatory response, this study aimed to investigate the role of TLR4 and TLR9 gene polymorphisms in the risk and progression of HPV-related cervical lesions. Materials & methods: A total of 220 cervical lesion patients and 227 healthy controls were enrolled. Single-nucleotide polymorphisms were genotyped using PCR-restriction fragment length polymorphism. Results: A significantly decreased risk of cervical lesions was observed to be associated with the TLR4 rs10116253 (C), rs1927911 (T) and rs10759931 (G) mutant alleles. rs187084-rs1927911-HPV-16/18 was the best interaction model to affect cervical lesion risk. Conclusion: TLR4 rs10116253, rs1927911 and rs10759931 were potential biomarkers for cervical lesion susceptibility.

Host genetic polymorphisms associated with beta human papillomavirus seropositivity

Human papillomaviruses (HPVs) cause superficial epidermal infections and are only cleared if they trigger an immunological response. We analysed SNPs that had previously been investigated for association with HPV infection to determine whether they play a role in the serological response to cutaneous beta-HPVs in an Australian population. Serum samples from 1,142 participants were analysed for seropositivity against the L1 protein of 21 beta-HPV types. Associations between seropositivity to beta-HPV types and the SNPs rs9264942 (HLA-C; HPV-9, p = 0.022, HPV-15, p = 0.043 and HPV-17, p = 0.004), rs12449858 (EVER1; HPV-23, p = 0.029), and rs2981451 (FGFR2; HPV-22, p = 0.049) were identified. We found that certain SNPs could be involved in the serological response to beta-HPVs.

Comprehensive analysis of ceRNA networks in HPV16- and HPV18-mediated cervical cancers reveals XIST as a pivotal competing endogenous RNA

Cervical cancer (CC) is one of the most common cancers in women worldwide, being closely related to high-risk human papillomavirus (HR-HPVs). After a particular HR-HPV infects a cervical cell, transcriptional changes in the host cell are expected, including the regulation of lncRNAs, miRNAs, and mRNAs. Such transcripts may work independently or integrated in complex molecular networks - as in competing endogenous RNA (ceRNA) networks. In our research, we gathered transcriptome data from samples of HPV16/HPV18 cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC), from The Cancer Genome Atlas (TCGA) project. Using GDCRNATools, we identified ceRNA networks that differentiate HPV16- from HPV18-mediated CESC. For HPV16-CESC, three lncRNA-mRNA co-expressed pairs were reported, all led by the X-inactive specific transcript (XIST): XIST | DLG5, XIST | LGR4, and XIST | ZNF81. The XIST | LGR4 and XIST | ZNF81 pairs shared 11 miRNAs, suggesting an increased impact on their final biological effect. XIST also stood out as an important lncRNA in HPV18-CESC, leading 35 of the 42 co-expressed pairs. Some mRNAs, such as ADAM9 and SLC38A2, emerged as important players in the ceRNA regulatory networks due to sharing a considerable amount of miRNAs with XIST. Furthermore, some XIST-associated axes, namely XIST | miR-23a-3p | LGR4 and XIST | miR-30b-5p or miR-30c-5p or miR-30e-5p I ADAM9, had a significant impact on the overall survival of HPV16- and HPV18-CESC patients, respectively. Together, these data suggest that XIST has an important role in HPV-mediated tumorigenesis, which may implicate different molecular signatures between HPV16 and HPV18-associated tumors.

The Alterations of Vaginal Microbiome in HPV16 Infection as Identified by Shotgun Metagenomic Sequencing

The association of microbiome imbalance with cancer development is being one of the research hotspots. Persistent HPV infection is a causal event in cervical cancer initiation, but, little is known about the microbiome composition and function in HPV infection. Here we identified the compositional and functional alterations on vaginal samples from 27 HPV16 positive women and 25 age-matched HPV negative controls using shotgun metagenomic sequencing, to provide a comprehensive investigation describing the microbial abundances and enriched metabolic functions in cervicovaginal metagenomes. We further employed qPCR assays to evaluate two selected gene markers of HPV16 infection in an independent validation cohort consisting of 88 HPV16 positive women and 81 controls, and six selected species markers in a subset of validation cohort of 45 HPV16 positive women and 53 controls. We found that the relative abundance of dominant Firmicutes was lower, Actinobacteria, Fusobacteria and viruses phyla were significantly higher in the HPV16-positive group; 77 genera including Gardnerella, Peptostreptococcus, and Prevotella were higher, and 20 genera including Lactobacillus and Aerococcus were lower in the HPV16-positive women. Abundance of 12 genes, 17 genera, and 7 species biomarkers showed an excellent predictive power for the HPV16-positive individuals, with 0.861, 0.819, and 0.918, respectively, of the area under the receiver-operating characteristic curve (AUC). We further characterized the microbial function, and revealed that HPV16-positive women were enriched in metabolism and membrane transport, and depleted by glycan biosynthesis and metabolism, and replication and repair. Quantitative PCR measurements validated that one gene marker and three species were significantly enriched in HPV16-positive women. These results highlight a fundamental fact that there are altered composition and function of the vaginal microbiome in HPV16-positive women, suggesting that vaginal dysbiosis may be associated with HPV infection in the female genital tract.

Post-Treatment HPV Surface Brushings and Risk of Relapse in Oropharyngeal Carcinoma

Human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC) is a distinct subtype of head and neck cancer. Here, we investigated how frequently brushing remained high-risk (hr)-HPV positive after treatment and whether patients with positive post-treatment brushings have a higher recurrence rate. Following the end of treatment of patients with initially hr-HPV positive OPSCC, surface brushings from the previous tumor site were performed and tested for hr-HPV DNA. Of 62 patients with initially hr-HPV DNA-positive OPSCC, seven patients remained hr-HPV-DNA positive at post-treatment follow-up. Of the seven hr-HPV-positive patients at follow-up, five had a tumor relapse or tumor progression, of whom three died. The majority of patients (55/62) was HPV-negative following treatment. All HPV-negative patients remained free of disease (p = 0.0007). In this study, all patients with recurrence were hr-HPV-positive with the same genotype as that before treatment. In patients who were hr-HPV negative after treatment, no recurrence was observed.

Transcriptome sequencing profiles of cervical cancer tissues and SiHa cells

High-risk human papillomavirus (HPV) is a causal factor for cervical cancer, of which HPV16 is the predominant genotype, but the detailed mechanism remains to be elucidated. In this study, we performed transcriptome sequencing in cervical cancer tissues with HPV16-positive and normal tissues with HPV16-negative, and SiHa cells with or without HPV16 E6/E7 knockdown, and identified 140 differential expressed genes (DEGs) in two data sets. We carried out a series of bioinformatic analyses to learn more about the 140 DEGs, and found that 140 DEGs were mostly enriched in cell cycle and DNA repair through Kyoto Encyclopedia of Genes and Genomes pathway enrichment, Gene Ontology annotation, and gene set enrichment analysis. A total of 20 genes including RMI1, MKI67, FANCB, KIF14, CENPI, RACGAP1, EXO1, KIF4A, FOXM1, C19orf57, PSRC1, NUSAP1, CIT, NDC80, MCM7, GINS2, MCM6, ORC1, TLX2, and UHRF1 were screened by co-expression analysis; of those, the expressions of 6 (CENPI, FANCB, KIF14, ORC1, RACGAP1, and RMI1) were verified by qRT-PCR. Further, we found that E2F family, NF-Y, AhR:Arnt, and KROX family may be involved in modulating DEGs by TransFind prediction. TF2DNA database and co-expression analysis suggested that 12 TFs (ZNF367, TLX2, DEPDC1B, E2F8, ZNF541, EGR2, ZMAT3, HES6, CEBPA, MYBL2, FOXM1, and RAD51) were upstream modulators of DEGs. Our findings may provide a new understanding for effects of HPV oncogenes in the maintenance of cancerous state at the transcriptional level.

HPV epigenetic mechanisms related to Oropharyngeal and Cervix cancers

Human Papilloma Virus infection is very frequent in humans and is mainly transmitted sexually. The majority of infections are transient and asymptomatic, however, if the infection persists, it can occur with a variety of injuries to skin and mucous membranes, depending on the type of HPV involved. Some types of HPV are classified as high oncogenic risk as associated with the onset of cancer. The tumors most commonly associated with HPV are cervical and oropharyngeal cancer, epigenetic mechanisms related to HPV infection include methylation changes to host and viral DNA and chromatin modification in host species. This review is focused about epigenethic mechanism, such as MiRNAs expression, related to cervix and oral cancer. Specifically it discuss about molecular markers associated to a more aggressive phenotype. In this way we will analyze genes involved in meiotic sinaptonemal complex, transcriptional factors, of orthokeratins, sinaptogirin, they are all expressed in cancer in a way not more dependent on cell differentiation but HPV-dependent.

The use of rapid and cost-effective blood-based biomarkers in combination with tumour TNM stage for individual head and neck cancer patient treatment selection

Head and neck (H&N) cancer is an aggressive disease and the incidence has increased in younger population worldwide. Tumour TNM staging is the main basis for treatment decision despite significant variation in clinical outcome. Survival time of these patients has marginally improved during the last 30 years. Various biomarkers with cumbersome analysis, high cost, time consumption and requirement of special laboratory facilities have been investigated. However, none of these biomarkers have been shown to be suitable to use for individual H&N cancer patient treatment selection in the clinic. For practical use in clinical settings, the given biomarkers must be simple to analyse, rapid, cost effective and available in routine laboratories. With this intension, we suggested the combination of standard TNM staging and biomarkers associated with inflammation such as neutrophils, neutrophil to lymphocyte ratio, plasma C-reactive protein or plasma tumour necrosis factor alpha (TNFa) and single-nucleotide polymorphism in TNFa rs1800629 using blood-based analysis. The optimal treatment outcome of H&N cancer by using combination of TNM stage and these blood-based biomarkers for individual patient selection need further investigation.