Determination of malignant potential of cervical intraepithelial neoplasia

Bioinformatics Analysis Reveals E6 and E7 of HPV 16 Regulate Metabolic Reprogramming in Cervical Cancer, Head and Neck Cancer, and Colorectal Cancer through the PHD2-VHL-CUL2-ELOC-HIF-1α Axis

Human papillomavirus 16 (HPV 16) infection is associated with several types of cancer, such as head and neck, cervical, anal, and penile cancer. Its oncogenic potential is due to the ability of the E6 and E7 oncoproteins to promote alterations associated with cell transformation. HPV 16 E6 and E7 oncoproteins increase metabolic reprogramming, one of the hallmarks of cancer, by increasing the stability of hypoxia-induced factor 1 α (HIF-1α) and consequently increasing the expression levels of their target genes. In this report, by bioinformatic analysis, we show the possible effect of HPV 16 oncoproteins E6 and E7 on metabolic reprogramming in cancer through the E6-E7-PHD2-VHL-CUL2-ELOC-HIF-1α axis. We proposed that E6 and E7 interact with VHL, CUL2, and ELOC in forming the E3 ubiquitin ligase complex that ubiquitinates HIF-1α for degradation via the proteasome. Based on the information found in the databases, it is proposed that E6 interacts with VHL by blocking its interaction with HIF-1α. On the other hand, E7 interacts with CUL2 and ELOC, preventing their binding to VHL and RBX1, respectively. Consequently, HIF-1α is stabilized and binds with HIF-1β to form the active HIF1 complex that binds to hypoxia response elements (HREs), allowing the expression of genes related to energy metabolism. In addition, we suggest an effect of E6 and E7 at the level of PHD2, VHL, CUL2, and ELOC gene expression. Here, we propose some miRNAs targeting PHD2, VHL, CUL2, and ELOC mRNAs. The effect of E6 and E7 may be the non-hydroxylation and non-ubiquitination of HIF-1α, which may regulate metabolic processes involved in metabolic reprogramming in cancer upon stabilization, non-degradation, and translocation to the nucleus.

Role of DNA ploidy in diagnosis and prognosis of high-grade cervical intraepithelial neoplasia: A prospective cohort study

OBJECTIVE

To compare the sensitivity and specificity of DNA ploidy with cytology, human papillomavirus (HPV) testing and colposcopy in diagnosis of high-grade cervical intraepithelial neoplasia (CIN) and to assess the role of aneuploidy in cervical lesions with the worst prognosis. A prospective observational cohort study was conducted on 254 women with altered colpocytology.

METHODS

Colposcopy, biopsy, DNA-ICM and HPV examinations were applied to cervical cytological and histological samples. Participants were evaluated every 6 months and divided into two groups: 'Harm' and 'No-harm'. Logistic regression and multivariate COX model were used to identify independent risk factors for diagnosis and prognosis of high-grade CIN, and ROC curve to assess the sensitivity and specificity of methods.

RESULTS

Variables 'age greater than or equal to 30 years', 'lesion size greater than 20%', 'aneuploidy' and 'HPV 16' were associated with diagnosis of high-grade CIN and 'aneuploidy' and 'women living with HIV', with a worse prognosis. Agreement for colposcopy was good, with a sensitivity of 79.3% and specificity of 94.4%; DNA-ICM and cytology were moderate, with sensitivity of 74.6% and 72.3% and specificity of 85.3% and 76.1%, respectively. High-risk HPV and HPV 16 tests were weak, with sensitivity of 75.0% and 43.75% and specificity of 50.0% and 88.64%, respectively.

CONCLUSIONS

In relation to high-grade CIN diagnosis, DNA-ICM presented similar sensitivity and specificity to cytology and high-risk HPV test when associated with HPV 16. Regarding prognosis, this research certifies that aneuploidy is considered a predictor of more severe cervical injury.

Clinical predictors of residual disease in hysterectomy following a loop electrosurgical excision procedure for cervical intraepithelial neoplasia grade 3

OBJECTIVE

To investigate the predictors of residual disease in a hysterectomy following a loop electrosurgical excision procedure (LEEP) for cervical intraepithelial neoplasia (CIN) 3.

METHODS

This retrospective study identified 421 patients with histologically confirmed CIN 3 who underwent LEEP and subsequently had a hysterectomy within 6 months. The clinical data included age, parity, type of transformation zone, cytology results, human papillomavirus (HPV) genotype test, endocervical curettage (ECC), and pathological data of LEEP and hysterectomy were obtained from the medical records. A logistic regression model was used to analyze the relationship between the variables and the risk of residual disease in the hysterectomy samples.

RESULTS

186 (44.18%) patients had residual disease in the hysterectomy specimens. The predictive markers of residual disease following LEEP included positive ECC, positive margin of the samples from LEEP, type II or III transformation zone, HPV16 and HPV18 infection, and other high-risk HPV. HPV-18 positivity (OR, 7.13; 95% CI, 3.49 to 14.56; p < 0.001) and type III transformation zone (OR, 6.37; 95% CI, 2.91 to 13.94; p < 0.001) were the most indicative of residual disease following LEEP.

CONCLUSION

Positive high-risk HPV, particularly HPV18, positive ECC, the positive margin of specimens from LEEP, and type II or III transformation zone were reliable prognostic markers of residual disease following a LEEP for CIN 3.

Methylated ZNF582 as a triage marker for occult cervical cancer and advanced cervical intraepithelial neoplasia

Aim: To explore the appropriate triage methods for women infected with high-risk human papillomavirus (hrHPV). Materials & methods: A total of 424 out of 872 hrHPV-infected women were divided into cervicitis (n = 123), cervical intraepithelial neoplasia grade 1 (CIN1; n = 89), CIN2 (n = 72), CIN3 (n = 87) and cervical cancer (n = 53) groups. Results: The sensitivity/specificity of ZNF582^m, PAX1^m and liquid-based cytology (LBC) for hrHPV-infected women with transformation zone 3 CIN3+ was 83.9/93.1, 77.4/90.6 and 80.6/58.5%, respectively. The ZNF582^m/PAX1^m test had a higher specificity than LBC (p < 0.001) and similar sensitivity to that observed for LBC (p > 0.05). ZNF582^m/PAX1^m improved the positive predictive value of CIN3+ (64.7/60.0%) in low-grade LBC (negative predictive value: 91.7/88.7%). Conclusion: ZNF582^m was superior to PAX1^m and LBC tests in detecting CIN3+ in hrHPV-infected women.

Proteases and HPV-Induced Carcinogenesis

Simple Summary

Human papillomavirus (HPV) infection is a sexually transmitted disease with high prevalence worldwide. Although most HPV infections do not lead to cancer, some HPV types are correlated with the majority of cervical cancers, and with some anogenital and oropharyngeal cancers. Moreover, enzymes known as proteases play an essential role in the pathogenic process in HPV-induced carcinogenesis. This review highlights the role of proteases and recent epidemiological data regarding HPV-dependent carcinogenesis.

Abstract

Persistent infection with Human papillomavirus (HPV) is the main etiologic factor for pre-malignant and malignant cervical lesions. Moreover, HPV is also associated with oropharynx and other anogenital carcinomas. Cancer-causing HPV viruses classified as group 1 carcinogens include 12 HPV types, with HPV 16 and 18 being the most prevalent. High-risk HPVs express two oncoproteins, E6 and E7, the products of which are responsible for the inhibition of p53 and pRB proteins, respectively, in human keratinocytes and cellular immortalization. p53 and pRB are pleiotropic proteins that regulate the activity of several signaling pathways and gene expression. Among the important factors that are augmented in HPV-mediated carcinogenesis, proteases not only control processes involved in cellular carcinogenesis but also control the microenvironment. For instance, genetic polymorphisms of matrix metalloproteinase 1 (MMP-1) are associated with carcinoma invasiveness. Similarly, the serine protease inhibitors hepatocyte growth factor activator inhibitor-1 (HAI-1) and -2 (HAI-2) have been identified as prognostic markers for HPV-dependent cervical carcinomas. This review highlights the most crucial mechanisms involved in HPV-dependent carcinogenesis, and includes a section on the proteolytic cascades that are important for the progression of this disease and their impact on patient health, treatment, and survival.

Modeling and Molecular Dynamics of the 3D Structure of the HPV16 E7 Protein and Its Variants

The oncogenic potential of high-risk human papillomavirus (HPV) is predicated on the production of the E6 and E7 oncoproteins, which are responsible for disrupting the control of the cell cycle. Epidemiological studies have proposed that the presence of the N29S and H51N variants of the HPV16 E7 protein is significantly associated with cervical cancer. It has been suggested that changes in the amino acid sequence of E7 variants may affect the oncoprotein 3D structure; however, this remains uncertain. An analysis of the structural differences of the HPV16 E7 protein and its variants (N29S and H51N) was performed through homology modeling and structural refinement by molecular dynamics simulation. We propose, for the first time, a 3D structure of the E7 reference protein and two of Its variants (N29S and H51N), and conclude that the mutations induced by the variants in N29S and H51N have a significant influence on the 3D structure of the E7 protein of HPV16, which could be related to the oncogenic capacity of this protein.

DNA ploidy measurement and human papillomavirus in abnormal cervical cytology

OBJECTIVE

To compare the efficacy of high-risk human papillomavirus (HR-HPV) and DNA image cytometry (DNA-ICM) status for identifying high-grade cervical intraepithelial neoplasia or worse (≥CIN2).

METHODS

This cross-sectional study was performed in women undergoing follow-up procedure after a previous abnormal cervical cytology. Cervical cells were collected for HPV detection and DNA ploidy measurement. Biopsy samples were taken for histological confirmation. Sensitivity and specificity values for ≥CIN2 detection with HR-HPV and DNA-ICM were determined.

RESULTS

HR-HPV was present in 74.5% of the women. The most frequent HPV infection was HPV 16, followed by HPV 31, 33 and 58. Aneuploidy was observed in 60.6% of all cases. Referral cytology revealed 78.0% sensitivity and 68.6% specificity for detecting a ≥CIN2 lesion. The HR-HPV test alone showed 92.7% sensitivity, albeit it was not statistically different from DNA-ICM (88.1%, P > .05). Positivity for HPV or DNA-ICM resulted in 100% sensitivity. Higher specificity was observed for the combination of HR-HPV and DNA-ICM (88.6%), with no difference from DNA-ICM alone (85.7%, P > .05).

CONCLUSION

DNA-ICM or HR-HPV positivity identified all cases of ≥CIN2 in women undergoing follow-up procedure after a previous abnormal cervical cytology. Routine cervical cancer screening could be improved by the incorporation of DNA-ICM as a complementary method to primary screening to identify which women need closer follow-up.

Targeted degradation of CD147 proteins in melanoma

CD147 is a transmembrane glycoprotein and a member of immunoglobulin superfamily, is strongly expressed in melanoma cells. CD147 has a pivotal role in tumor development. Therefore, it is a potential drug target for melanoma. In this article, we report the discovery of the first CD147 protein proteolysis targeting chimeras (PROTACs) derived from the natural product pseudolaric acid B (PAB). The representative compound 6a effectively induced degradation of CD147 and inhibited melanoma cells in vitro and in vivo. 6a could be used as the novel type of anticancer agent or as a part of the molecular biology research toolkit used in the gain-of-function study of the dynamic roles of CD147 in cancer networks.

Novel Biomarkers of Early Atherosclerotic Changes for Personalised Prevention of Cardiovascular Disease in Cervical Cancer and Human Papillomavirus Infection

Cervical cancer is associated with a causative role of human papillomavirus (HPV), which is a highly prevalent infection. Recently, women with a genital HPV infection were found to have increased incidence of cardiovascular diseases (CVD), including severe cardiovascular events such as myocardial infarction and stroke. The pathomechanisms of this relation are not yet fully understood, and may significantly affect the health of a large part of the population. Accelerated atherosclerosis is assumed to play a key role in the pathophysiology of this relationship. To identify high-risk groups of the population, it is necessary to stratify the CVD risk. Current algorithms, as widely used for the estimation of CVD risk, seem to be limited by the individual misclassification of high-risk subjects. However, personalised prediction of cardiovascular events is missing. Regarding HPV-related CVD, identification of novel sensitive biomarkers reflecting early atherosclerotic changes could be of major importance for such personalised cardiovascular risk prediction. Therefore, this review focuses on the pathomechanisms leading to HPV-related cardiovascular diseases with respect to atherosclerosis, and the description of potential novel biomarkers to detect the earliest atherosclerotic changes important for the prevention of CVD in HPV infection and cervical cancer.

Robust joint score tests in the application of DNA methylation data analysis

Background

Recently differential variability has been showed to be valuable in evaluating the association of DNA methylation to the risks of complex human diseases. The statistical tests based on both differential methylation level and differential variability can be more powerful than those based only on differential methylation level. Anh and Wang (2013) proposed a joint score test (AW) to simultaneously detect for differential methylation and differential variability. However, AW’s method seems to be quite conservative and has not been fully compared with existing joint tests.

Results

We proposed three improved joint score tests, namely iAW.Lev, iAW.BF, and iAW.TM, and have made extensive comparisons with the joint likelihood ratio test (jointLRT), the Kolmogorov-Smirnov (KS) test, and the AW test. Systematic simulation studies showed that: 1) the three improved tests performed better (i.e., having larger power, while keeping nominal Type I error rates) than the other three tests for data with outliers and having different variances between cases and controls; 2) for data from normal distributions, the three improved tests had slightly lower power than jointLRT and AW. The analyses of two Illumina HumanMethylation27 data sets GSE37020 and GSE20080 and one Illumina Infinium MethylationEPIC data set GSE107080 demonstrated that three improved tests had higher true validation rates than those from jointLRT, KS, and AW.

Conclusions

The three proposed joint score tests are robust against the violation of normality assumption and presence of outlying observations in comparison with other three existing tests. Among the three proposed tests, iAW.BF seems to be the most robust and effective one for all simulated scenarios and also in real data analyses.

Electronic supplementary material

The online version of this article (10.1186/s12859-018-2185-3) contains supplementary material, which is available to authorized users.

Consolidation of molecular testing in clinical virology

INTRODUCTION

The development of quantitative methods for the detection of viral nucleic acids have significantly improved our ability to manage disease progression and to assess the efficacy of antiviral treatment. Moreover, major advances in molecular technologies during the last decade have allowed the identification of new host genetic markers associated with antiviral drug response but have also strongly revolutionized the way we see and perform virus diagnostics in the coming years. Areas covered: In this review, we describe the history and development of virology diagnostic methods, dedicating particular emphasis on the gradual evolution and recent advances toward the introduction of multiparametric platforms for the syndromic diagnosis. In parallel, we outline the consolidation of viral genome quantification practice in different clinical settings. Expert commentary: More rapid, accurate and affordable molecular technology can be predictable with particular emphasis on emerging techniques (next generation sequencing, digital PCR, point of care testing and syndromic diagnosis) to simplify viral diagnosis in the next future.