HPV Infection and Cancer

Jin, Jill

doi:10.1001/jama.2018.0687

Cited by 38 publications

(26 citation statements)

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“…It is a unique health concern because it is one of very few infections that can de nitely lead to cervical cancer. In most cases the immune system clears the virus on its own within 6-18 months [18][19] . It takes a long time from HPV infection to the development of cancer, which gives us oppurtunity to prevent this deterioration process.…”

Section: Discussionmentioning

confidence: 99%

“…More than 40 mucosal types of HPV can infringe on the human reproductive system, and 15 high-risk types have been demonstrated to be related to the cervical lesion: HPVs 16,18,31,33,35,39,45,51,52,53,56,58,59, 66 and 68 [1] . Approximately 50% and 20% of cervical cancers are induced by HPV 16 and 18 respectively, and these two subtypes are considered to be extremely high-risk types [2] .…”

Section: Introductionmentioning

confidence: 99%

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Distinction Between Vaginal and Cervical Microbiota in High-risk Human Papilloma Virus Infected Women in China

Zhang

et al. 2020

Preprint

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Background: High-risk human papilloma virus (hrHPV) is regarded as the main causal factor of cervical precancer and cancer when persistent infection is left untreated. Previous studies have declared that HPV is associated with microecological environment of lower genital tract but haven’t discriminate vaginal microbiota from that of cervix. Objective: To analyze the distinction between vaginal and cervical microbiota in high-risk HPV(+) Chinese women. Methods: One hundred participants were recruited including 20 healthy women with HPV (-), 32 with other hrHPV (+), 38 subjects with HPV16/18 (+) and 10 with cervical carcinoma, demographics of whom were collected and analyzed. Vaginal and cervical microbiota were separately tested through next-generation sequencing technology (NGS) targeting the variable region (V3-V4) of bacterial ribosome 16S rRNA gene. Results: 1. Analysis of demographics demonstrated that hrHPV infected women tend to be accustomed to vaginal douching (p =0.001), show more frequent usage of sanitary pads (p =0.007), have more sex partners (p =0.047), be more sexually active (p =0.025), have more diverse ways of contraception (p =0.001) and history of vaginitis (p =0.002). 2. NGS identified microbial diversity of cervical microbiota was much higher than that of vagina with significantly increased Proteobacteria and decreased Lactobacillus. Variation of cervical microbiota of hrHPV(+) subjects partly similar to vaginal microbiota but had its unique features. Sphingomonas of α-Proteobacteria, almost invisible in the vagina, was more frequent at normal cervix whereas decreased remarkably at hrHPV(+) cervix. Reversely, γ-Proteobacteria showed a significant positive correlation with HPV16/18 and cervical cancer. BV related anaerobes like Gardnerella, Prevotella, Atopobium and Sneathia showed similar changes in both vaginal and cervical microbiota of hrHPV(+) women and did not exhibit cervical specificity. Conclusions: Cervical microbiota has its uniqueness from that of vagina in bacterial communities presenting a higher proportion of Proteobacteria, of which Sphingomonas is potentially predictive of a health guardian of hrHPV while Pseudomonas the opposite.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distinction Between Vaginal and Cervical Microbiota in High-risk Human Papilloma Virus Infected Women in China

Zhang

et al. 2020

Preprint

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“…Over 300,000 women die of cervical cancer each year, and approximately 90% of them are from low- to middle-income countries [ 1 ]. Infection of high-risk human papillomavirus (HPV) is one of the main reasons for cervical cancer, although HPV infection cannot fully elucidate the occurrence of cervical cancer [ 2 ]. Five-year overall survival (OS) of locally advanced cervical cancer is around 70% following chemotherapy [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Identification of an autophagy-related gene signature for survival prediction in patients with cervical cancer

et al. 2020

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Cervical cancer is one of the most common female malignancy that occurs worldwide and is reported to cause over 300,000 deaths in 2018. Autophagy controls the survival and death of cancerous cells by regulating the degradation process of cytoplasm and cellular organelle. In the present study, the differentially expressed autophagy-related genes (ARGs) between healthy and cancerous cervical tissues (squamous cell neoplasms) were obtained using data from GTEx and The Cancer Genome Atlas (TCGA) database. The functionalities of the differentially expressed ARGs were analyzed using Gene Ontology (GO) as well as the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Next, we conducted univariate Cox regression assay and obtained 12 ARGs that were associated with the prognosis of cervical cancer patients. We carried out a multivariate Cox regression analysis and developed six ARG-related prognostic signature for the survival prediction of patients with squamous cell cervical cancer (Risk score = − 0.63*ATG3–0.42*BCL2 + 0.85*CD46–0.38*IFNG+ 0.23*NAMPT+ 0.82*TM9SF1). Following the calculation of risk score using the signature, the patients were divided into high and low-risk groups according to the median value. Kaplan-Meier curve demonstrated that patients with a high-risk score tend to have a poor prognosis (P < 0.001). The value for area under the curves corresponding to the receiver operating characteristic (ROC) was 0.740. As observed, the expression of IFNG was negatively associated with lymph node metastasis (P = 0.026), while a high-risk score was significantly associated with increased age (P = 0.008). To further validate the prognostic signature, we carried out a permutation test and confirmed the performance of the risk score. In conclusion, our study developed six ARG-related prognostic signature for patients with squamous cell cervical cancer, which might help in improving the prognostic predictions of such patients.

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“…Human papillomavirus (HPV) is known to cause cancers of the cervix, vulva, vagina, penis, anus, and oropharynx. Cervical cancer is the most common HPV-associated cancer among women, and oropharyngeal cancers (OPC) are the most common among men [ 8 ]. It is characterized with a few genomic alterations in TP53 and p16 but may also exhibit phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha ( PIK3CA ) alterations, copy-number gains in TNF receptor-associated factor 3 and E2F transcription factor 1 (E2F1), and lack of cyclin D1 ( CCND1 ) amplification as compared to HPV-negative cancers [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

G Protein-Coupled Receptor Genes, PTGDR1, PTGDR2, and PTGIR, Are Candidate Epigenetic Biomarkers and Predictors for Treated Patients with HPV-Associated Oropharyngeal Cancer

et al. 2020

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Differences in the biology of human papillomavirus (HPV)-associated oropharyngeal cancers (OPCs) and HPV-negative OPCs may have implications in patient management. Early detection is imperative to reduce HPV-associated OPC mortality. Circulating tumor DNA (ctDNA) can potentially serve as a biomarker for monitoring clinically relevant cancer-related genetic and epigenetic modifications. We analyzed the methylation status of 24 G protein-coupled receptor (GPCR) genes in verification (85 OPC primary samples) and validation (8 OPC ctDNA samples) studies using quantitative methylation-specific polymerase chain reaction (Q-MSP). The Q-MSP-based verification study with 85 OPC primary samples revealed the GPCR genes that were significantly associated with recurrence in high methylation groups (≥14 methylated genes) with OPC and HPV-associated OPC (p < 0.001). In the Kaplan–Meier estimate and multivariate Cox proportional hazard analyses, 13 GPCR genes were significantly related to increased recurrence in the methylation group. Furthermore, the validation study on ctDNA showed that three of these genes (Prostaglandin D2 receptor 1: PTGDR1, Prostaglandin D2 receptor 2: PTGDR2, and Prostaglandin I2 Receptor: PTGIR) had a prediction performance as emerging biomarkers. We characterized the relationship between the methylation status of GPCR genes and outcomes in HPV-associated OPC. Our results highlight the potential utility of ctDNA methylation-based detection for the clinical management of HPV-associated OPC.

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HPV Infection and Cancer

Cited by 38 publications

References 0 publications

Distinction Between Vaginal and Cervical Microbiota in High-risk Human Papilloma Virus Infected Women in China

Distinction Between Vaginal and Cervical Microbiota in High-risk Human Papilloma Virus Infected Women in China

Identification of an autophagy-related gene signature for survival prediction in patients with cervical cancer

G Protein-Coupled Receptor Genes, PTGDR1, PTGDR2, and PTGIR, Are Candidate Epigenetic Biomarkers and Predictors for Treated Patients with HPV-Associated Oropharyngeal Cancer

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