Cervical Scrapes Research Articles

Minimally Invasive and Emerging Diagnostic Approaches in Endometrial Cancer: Epigenetic Insights and the Promise of DNA Methylation

Endometrial cancer (EC) is the most common gynecological malignancy, with rising incidence and mortality rates. Key risk factors, including obesity, prolonged estrogen exposure, and metabolic disorders, underscore the urgent need for non-invasive, early diagnostic tools. This review focuses on the role of DNA methylation as a potential biomarker for early EC detection. Aberrant DNA methylation in the promoter regions of tumor suppressor genes can lead to gene silencing and cancer progression. We examine recent studies utilizing minimally invasive samples, such as urine, cervicovaginal, and cervical scrapes, to detect early-stage EC through DNA methylation patterns. Markers such as RASSF1A, HIST1H4F, GHSR, SST, and ZIC1 have demonstrated high diagnostic accuracy, with AUC values up to 0.95, effectively distinguishing EC from non-cancerous conditions. This review highlights the potential of DNA methylation-based testing as a non-invasive alternative to traditional diagnostic methods, offering earlier detection, better risk stratification, and more personalized treatment plans. These innovations hold the promise of transforming clinical practice by enabling more timely and effective management of endometrial cancer.

A Multicenter Cohort Study on DNA Methylation for Endometrial Cancer Detection in Cervical Scrapings.

The increasing incidence of endometrial cancer (EC) has highlighted the need for improved early detection methods. This study aimed to develop and validate a novel DNA methylation classifier, EMPap, for EC detection using cervical scrapings. EMPap incorporated the methylation status of BHLHE22 and CDO1, along with age and body mass index (BMI), into a logistic regression model to calculate the endometrial cancer methylation (EM) score for identifying EC in cervical scrapings. We enrolled 1297 patients with highly suspected EC, including 196 confirmed EC cases, and assessed the EMPap performance in detecting EC. EMPap demonstrated robust diagnostic accuracy, with an area under the curve of 0.93, sensitivity of 90.3%, and specificity of 89.3%. It effectively detected EC across various disease stages, grades, and histological subtypes, and consistently performed well across patient demographics and symptoms. EMPap correctly identified 87.5% of the type II ECs and 53.8% of premalignant lesions. Notably, compared with transvaginal ultrasonography (TVS) in patients with postmenopausal bleeding, EMPap exhibited superior sensitivity (100% vs. 82.0%) and specificity (85.2% vs. 38.5%). In asymptomatic postmenopausal women, EMPap maintained high sensitivity (89.5%) and negative predictive value (NPV) (98.3%). This study demonstrated the potential of EMPap as an effective tool for EC detection. Despite the limited sample size, EMPap showed promise for identifying type II EC and detecting over 50% of premalignant lesions. As a DNA methylation classifier, EMPap can reduce unnecessary uterine interventions and improve diagnosis and outcomes.

Accuracy of GynTect® Methylation Markers to Detect Recurrent Disease in Patients Treated for CIN3: A Proof-of-Concept Case-Control Study.

Post-treatment follow-up in women with CIN3 is mandatory due to relapse in up to 15% of patients within 2 years. Standard follow-up care based on hrHPV-DNA/cytology co-testing has high sensitivity but limited specificity. The aim of our proof-of-concept case-control study was to evaluate the performance of the methylation test GynTect® for the detection of recurrent CIN2/3 during follow-up. Residual clinical material from a recent, prospective, multicenter, observational study was available for further analysis. We studied a sample of 17 cases with recurrent CIN2/3 diagnosed within 24 months of follow-up and 31 controls without recurrence. DNA from cervical scrapes at baseline (immediately before CIN3 surgery) and up to three follow-up visits were analyzed for hrHPV and GynTect® methylation status. Cytology data were available from the previous study. Overall, 12 cases and 21 controls were GynTect-positive at baseline. In these subgroups, single test sensitivity at first follow-up was 67% (95% CI 39-87%) for GynTect® compared to 83% (95% CI 55-96%) for hrHPV (p = 0.50). Single test specificity was significantly higher for GynTect® (90%, 95% CI 71-98% vs. 62%, 95% CI 40-80%) (p = 0.03). In a co-testing setting, both hrHPV/cytology and GynTect®/cytology detected all recurrences. Specificity for GynTect®/cytology was higher than for hrHPV/cytology, but this difference was not statistically significant. In conclusion, for initially GynTect-positive patients, both hrHPV and GynTect® tests detected recurrent disease with similar sensitivity, but the GynTect® assay has a higher specificity. Incident hrHPV infection and/or persisting multifocal hrHPV infections without clinical disease are most likely responsible for the poorer specificity of the hrHPV test. A future prospective validation study will have to show whether GynTect®/cytology co-testing can outperform hrHPV/cytology co-testing in post-treatment surveillance.

Molecular analysis for ovarian cancer detection in patient-friendly samples

BackgroundHigh ovarian cancer mortality rates motivate the development of effective and patient-friendly diagnostics. Here, we explored the potential of molecular testing in patient-friendly samples for ovarian cancer detection.MethodsHome-collected urine, cervicovaginal self-samples, and clinician-taken cervical scrapes were prospectively collected from 54 patients diagnosed with a highly suspicious ovarian mass (benign n = 25, malignant n = 29). All samples were tested for nine methylation markers, using quantitative methylation-specific PCRs that were verified on ovarian tissue samples, and compared to non-paired patient-friendly samples of 110 age-matched healthy controls. Copy number analysis was performed on a subset of urine samples of ovarian cancer patients by shallow whole-genome sequencing.ResultsThree methylation markers are significantly elevated in full void urine of ovarian cancer patients as compared to healthy controls (C2CD4D, P = 0.008; CDO1, P = 0.022; MAL, P = 0.008), of which two are also discriminatory in cervical scrapes (C2CD4D, P = 0.001; CDO1, P = 0.004). When comparing benign and malignant ovarian masses, GHSR shows significantly elevated methylation levels in the urine sediment of ovarian cancer patients (P = 0.024). Other methylation markers demonstrate comparably high methylation levels in benign and malignant ovarian masses. Cervicovaginal self-samples show no elevated methylation levels in patients with ovarian masses as compared to healthy controls. Copy number changes are identified in 4 out of 23 urine samples of ovarian cancer patients.ConclusionsOur study reveals increased methylation levels of ovarian cancer-associated genes and copy number aberrations in the urine of ovarian cancer patients. Our findings support continued research into urine biomarkers for ovarian cancer detection and highlight the importance of including benign ovarian masses in future studies to develop a clinically useful test.

A population based study on human papillomavirus infection and associated risk factors among women of the remote South Andaman Island, India

BackgroundHuman papillomavirus (HPV) is associated with cervical cancer and cervical dysplasia worldwide. Data on HPV prevalence in a region is important because it serves as a predictor of the likelihood of the population in that particular region acquiring cervical cancer. Moreover, with the availability of effective vaccines, the public health system must be aware of the preponderance of HPV to implement the vaccine. The present study was designed to understand the prevalence of HPV and associated factors among the women of South Andaman Island.MethodsA cross-sectional study was conducted among married women of reproductive age (18–59 years) from South Andaman District from 2018 to 2022. Cervical scrapes were collected from participants after obtaining informed written consent for HPV molecular testing (HPV DNA) such as PCR assay. Demographic data was collected using a standard questionnaire and statistical analyses were performed to determine the associated factors.ResultsThe study showed prevalence of HPV as 5.9%(95% CI: 3.9–7.9) and prevalence of HR-HPV16 was 4.1% (95% CI 2.6 – 5.5) and HR-HPV18 prevalence was 1.8(95% CI: 0.6–3). The independent factors associated the HPV positivity were age above 55 years, menopause, post-menopausal bleeding, blood-stained vaginal discharge and loss of weight. Age was associated with all HPV infections among the South Andaman women.ConclusionsHPV 16 was reported as the predominant high risk HPV type circulating among women of South Andaman. Cervical cancer and precancerous lesions were significantly associated with HPV positivity and High risk HPV 16. Based on the knowledge of the risk factors associated with HPV, implementation of stronger public health awareness and prophylactic HPV vaccination is crucial among the women of this remote island.

DNA Methylation Testing for Endometrial Cancer Detection in Urine, Cervicovaginal Self-Samples and Cervical Scrapes

ABSTRACT Endometrial cancer is the sixth most common cancer in women globally and has a rising incidence, accounting for 417,000 new diagnoses and more than 97,000 deaths in 2020. Early detection is critical because of a poor advanced-stage prognosis and high relapse risk. Postmenopausal bleeding precedes endometrial cancer in 90% of cases, yet only 5% to 10% of patients with this symptom have an underlying malignancy. Recent cytology research has demonstrated endometrial cancer cells in vaginal samples, suggesting urine and cervicovaginal self-samples may allow convenient and minimally invasive screening. In addition, screening samples for DNA methylation in tumor suppressor genes can increase testing efficacy of triaging patients with postmenopausal bleeding as it does not require intact tumor cells. This study aimed to evaluate the diagnostic performance of endometrial cancer detection using DNA methylation analysis in paired urine, cervicovaginal self-samples, and clinician-taken cervical scrapes. Paired samples from participants of the SOLUTION1 study with endometrial cancer were collected between October 2016 and August 2020. A complete urine void and cervicovaginal self-sample was collected at home, whereas the cervical scrape was taken by a clinician in the operating room before surgery. Each patient had a paired urine, cervicovaginal self-sample, and clinician-taken cervical scrape available for methylation analysis. Controls were collected from the Urine Controls (URIC) biobank and Dutch national cervical cancer screening program. Promoter hypermethylation of the ADCYAP1, BHLHE22, CDH13, CDO1, GALR1, GHSR, HAND2, SST, and ZIC1 genes was tested using quantitative methylation-specific polymerase chain reaction. Optimal 3-marker combinations were determined for each sample type using multivariable logistic regression analysis, and diagnostic performances of each marker and 3-marker panels were assessed by leave-one-out cross validation. A total of 103 endometrial cancer patients were included in this study, with 317 unpaired samples of control women. Methylation levels of all markers were significantly higher in all 3 sample types of endometrial cancer patients compared with healthy control women. In urine, the non–cross-validated area under the curve of the DNA methylation markers ranged between 0.61 and 0.93, in cervicovaginal self-samples between 0.62 and 0.91, and in clinician-taken cervical scrapes between 0.61 and 0.95. Most markers (7/9) showed the highest performance in urine, with the remaining 2 showing best performance in clinician-taken cervical scrapes. The optimal 3-marker combination panels showed area under the curve values of 0.95 (05% confidence interval [CI], 0.92–0.98) for urine, 0.94 (95% CI, 0.90–0.97) for cervicovaginal self-samples, and 0.97 (95% CI, 0.96–0.99) for clinician-taken cervical scrapes. The sensitivity and specificity of the optimal urine testing panel were both 90%, were 89% sensitivity and 92% specificity for cervicovaginal self-samples, and were 93% sensitivity and 90% specificity for clinician-taken cervical scrapes. The leave-one-out cross-validation analysis revealed virtually equal performances in marker panels for each of the 3 testing modalities. The results of this study demonstrate high diagnostic potential of DNA methylation testing in minimally and noninvasive samples for endometrial cancer detection, emphasizing the potential for patient-friendly home-based sample collection.

Distribution of Human Papillomavirus Genotypes among the Women of South Andaman Island, India.

Human Papillomavirus (HPV) causes various types of cancer in both men and women. Woman with HPV infection has a risk of developing invasive cervical cancer. Globally, HPV 16 and 18 were predominant. This study aims to find the distribution of various HPV types in South Andaman. A cross-sectional study was conducted among women in South Andaman, where cervical scrapes were collected after collecting written informed consent. Detection of HPV genotypes was carried out by using a PCR assay. Further, sequencing analysis was performed using MEGA11 to identify various genotypes in this territory. Of these 1000 samples, 32 were positive for HR-HPV 16, and four were positive for HR-HPV 18. Fifteen HPV genotypes were detected using molecular evolutionary analysis. Six cases were identified with multiple genotypes. The most prevalent genotype is HPV 16 which belongs to Lineage-A and sub-lineage A2. HPV 18 identified in South Andaman belonged to the lineage A1 to A5. Various HPV types were identified among women in South Andaman. Global burden of cervical cancer associated with various HPV sub-lineages. HPV-16 A1 sub-lineage was globally widespread, whereas sub-lineages A1, A2 and D1 prevailed in South Andaman. HR-HPV identified in this study enlightens the importance of HPV vaccination among women in remote places. These findings will help to strengthen public health awareness programs and prevention strategies for women in remote areas.

Methylation testing for the detection of recurrent cervical intraepithelial neoplasia.

Women treated for CIN2/3 remain at increased risk of recurrent CIN and cervical cancer, and therefore posttreatment surveillance is recommended. This post hoc analysis evaluates the potential of methylation markers ASCL1/LHX8 and FAM19A4/miR124-2 for posttreatment detection of recurrent CIN2/3. Cervical scrapes taken at 6 and 12 months posttreatment of 364 women treated for CIN2/3 were tested for methylation of ASCL1/LHX8 and FAM19A4/miR124-2 using quantitative multiplex methylation-specific PCR. Performance of the methylation tests were calculated and compared with the performance of HPV and/or cytology. Methylation levels of recurrent CIN were compared between women with a persistent HPV infection, and women with an incident HPV infection or without HPV infection. Recurrent CIN2/3 was detected in 42 women (11.5%), including 28 women with CIN2 and 14 with CIN3. ASCL1/LHX8 tested positive in 13/14 (92.9%) of recurrent CIN3 and 13/27 (48.1%) of recurrent CIN2. FAM19A4/miR124-2 tested positive in 14/14 (100%) of recurrent CIN3 and 10/27 (37.0%) of recurrent CIN2. Combined HPV and/or methylation testing showed similar positivity rates as HPV and/or cytology. The CIN2/3 risk at 12 months posttreatment was 30.8% after a positive ASCL1/LHX8 result at 6 months posttreatment. Methylation levels of CIN2/3 in women with a persistent HPV infection were significantly higher compared with women with an incident or no HPV infection. In conclusion, posttreatment monitoring by methylation analysis of ASCL1/LHX8 and FAM19A4/miR124-2 showed a good performance for the detection of recurrent CIN. DNA methylation testing can help to identify women with recurrent CIN that require re-treatment.

DNA methylation as a triage marker for colposcopy referral in HPV-based cervical cancer screening: a systematic review and meta-analysis

BackgroundScreening plays a key role in secondary prevention of cervical cancer. High-risk human papillomavirus (hrHPV) testing, a highly sensitive test but with limited specificity, has become the gold standard frontline for screening programs. Thus, the importance of effective triage strategies, including DNA methylation markers, has been emphasized. Despite the potential reported in individual studies, methylation markers still require validation before being recommended for clinical practice. This systematic review and meta-analysis aimed to evaluate the performance of DNA methylation-based biomarkers for detecting high-grade intraepithelial lesions (HSIL) in hrHPV-positive women.MethodsHence, PubMed, Scopus, and Cochrane databases were searched for studies that assessed methylation in hrHPV-positive women in cervical scrapes. Histologically confirmed HSIL was used as endpoint and QUADAS-2 tool enabled assessment of study quality. A bivariate random-effect model was employed to pool the estimated sensitivity and specificity as well as positive (PPV) and negative (NPV) predictive values.ResultsTwenty-three studies were included in this meta-analysis, from which cohort and referral population-based studies corresponded to nearly 65%. Most of the women analyzed were Dutch, and CADM1, FAM19A4, MAL, and miR124-2 were the most studied genes. Pooled sensitivity and specificity were 0.68 (CI 95% 0.63–0.72) and 0.75 (CI 95% 0.71–0.80) for cervical intraepithelial neoplasia (CIN) 2+ detection, respectively. For CIN3+ detection, pooled sensitivity and specificity were 0.78 (CI 95% 0.74–0.82) and 0.74 (CI 95% 0.69–0.78), respectively. For pooled prevalence, PPV for CIN2+ and CIN3+ detection were 0.514 and 0.392, respectively. Furthermore, NPV for CIN2+ and CIN3+ detection were 0.857 and 0.938, respectively.ConclusionsThis meta-analysis confirmed the great potential of DNA methylation-based biomarkers as triage tool for hrHPV-positive women in cervical cancer screening. Standardization and improved validation are, however, required. Nevertheless, these markers might represent an excellent alternative to cytology and genotyping for colposcopy referral of hrHPV-positive women, allowing for more cost-effective screening programs.

ZNF671 methylation test in cervical scrapings for cervical intraepithelial neoplasia grade 3 and cervical cancer detection

Effective triage of high-risk human papillomavirus (hrHPV)+ women is warranted to avoid unnecessary referral and overtreatment. Molecular triage tests have recently begun to impact cervical intraepithelial neoplasia grade 3 (CIN3) or cervical cancer (CC), termed CIN3+, detection. We find that zinc finger protein671 methylation (ZNF671m) test has superior performance for CIN3+ detection in all single molecular triage tests, including HPV16/18 genotyping, paired box gene 1 methylation (PAX1m), and ZNF671m, in the training set. Using ZNF671m test instead of Thinprep cytologic test (TCT) as a single triagestrategy or as a combined triage strategy with HPV16/18 genotyping has achieved comparable sensitivity but higher specificity for CIN3+ detection among 391hrHPV+ women in the validation set.Littleattention has been paid to the women with hrHPV- status but detected CIN3+. We findthatthe CIN3+ risk after a negative result could be reduced further by triage using ZNF671m in hrHPV- patients.

Rational design of genotyping nanodevice for HPV subtype distinction

There are more than 200 subtypes of human papillomavirus (HPV), and high-risk HPVs are a leading cause of cervical cancer. Identifying the genotypes of HPV is significant for clinical diagnosis and cancer control. Herein, we used programmable and modified DNA as the backbone to construct fluorescent genotyping nanodevice for HPV subtype distinction. In our strategy, the dye-labeled single-stranded recognize-DNA (R-DNA) was hybridized with Black Hole Quencher (BHQ) labeled single-stranded link-DNA (L-DNA) to form three functionalized DNA (RL-DNA). Through the extension of polycytosine (poly-C) in L-DNA, three RL-DNAs can be more firmly adsorbed on graphene oxide to construct reliable genotyping nanodevice. The genotyping nanodevice had low background noise since the dual energy transfer, including Förster resonance energy transfer (FRET) from dye to BHQ and the resonance energy transfer (RET) from dye to graphene oxide. Meanwhile, the programmability of DNA allows the proposed strategy to simultaneously and selectively distinguish several HPV subtypes in solution using DNA labeled with different dyes. To demonstrate clinical potential, we show multiplexed assay of HPV subtypes in cervical scrapes, and it has been successfully applied in HPV-DNA analysis in cervical scrapes samples. The genotyping nanodevice could be developed for simultaneous and multiplex analysis of several oligonucleotides in a homogeneous solution by adjusting the recognition sequence, demonstrating its potential application in the rapid screening of multiple biomarkers.

Sequence analysis of exons 30 and 31 of LAMA3 gene variants and its association with human papillomavirus infection predisposition: no evidence was found.

Human papillomavirus (HPV) is associated with cervical cancer. For the infection to occur, most HPV types depend on interactions with heparan sulfate proteoglycans (HSPGs); however, non-HSPGs receptors are also involved. Laminin 332 is a crucial component of the epidermis's base membrane. It has shown interactions with HPV that suggest its function as a transient viral receptor in the extracellular matrix (ECM). We provide new information about Laminin 332 and HPV by identifying LAMA3 gene allelic variants from exons 30 and 31 and their distribution among women with and without HPV infection. We included 192 cervical cancer scrape samples from two groups of patients, 96 samples from patients with a low-grade squamous intraepithelial lesion (LSIL) and 96 samples from HPV-negative samples without LSIL. Identification of the HPV type was performed using an LCD-Array kit. Exons 30 and 31 of LAMA3 were amplified by PCR and analyzed by Sanger's sequencing. We identified a wide range of HPV types. The most frequent low-risk (lrHPV) HPV types were 6, 42, 44, and 90. For high-risk (hrHPV) HPV were 16, 31, 56, and 66. Only the genetic variant rs1131521 was identified in both groups. However, no significant association was observed between rs1131521 and the study groups. A single silent polymorphism was identified in both groups with similar frequency, whereas no mutations related to increased epithelial friability were identified.

Diversity of Anal HPV and Non-HPV Sexually Transmitted Infections and Concordance with Genital Infections in HIV-Infected and HIV-Uninfected Women in the Tapajós Region, Amazon, Brazil.

The aim of this study was to classify the diversity of anal HPV and non-HPV sexually transmitted infections (STIs) and compare the concordance between anal and genital infections in HIV-infected and uninfected women living in the Tapajós region, Amazon, Brazil. A cross-sectional study was performed with 112 HIV-uninfected and 41 HIV-infected nonindigenous women. Anal and cervical scrapings were collected and analyzed for HPV, Chlamydia trachomatis (CT), Neisseria gonorrheae (NG), Trichomonas vaginalis (TV), Mycoplasma genitalium (MG), and Human alphaherpesvirus 2 (HSV-2). The Kappa test evaluated the concordance between anal and genital infections. The overall prevalence of anal HPV infection was 31.3% in HIV-uninfected and 97.6% in HIV-infected women. The most frequent anal high-risk HPV (hrHPV) types were HPV18 and HPV16 in HIV-uninfected women and HPV51, HPV59, HPV31, and HPV58 in HIV-infected women. Anal HPV75 Betapapillomavirus was also identified. Anal non-HPV STIs were identified in 13.0% of all participants. The concordance analysis was fair for CT, MG, and HSV-2, almost perfect agreement for NG, moderate for HPV, and variable for the most frequent anal hrHPV types. Thus, a high prevalence of anal HPV infection with moderate and fair concordance between anal and genital HPV and non-HPV STIs was observed in our study.

DNA methylation testing for endometrial cancer detection in urine, cervicovaginal self-samples and cervical scrapes.

Endometrial cancer incidence is rising and current diagnostics often require invasive biopsy procedures. DNA methylation marker analysis of minimally- and non-invasive sample types could provide an easy-to-apply and patient-friendly alternative to determine cancer risk. Here, we compared the performance of DNA methylation markers to detect endometrial cancer in urine, cervicovaginal self-samples and clinician-taken cervical scrapes. Paired samples were collected from 103 patients diagnosed with stage I to IV endometrial cancer. Urine and self-samples were collected at home. All samples were tested for nine DNA methylation markers using quantitative methylation-specific PCR. Methylation levels measured in endometrial cancer patients were compared to unpaired samples of 317 healthy controls. Diagnostic performances were evaluated by univariable and multivariable logistic regression analysis, followed by leave-one-out cross-validation. Each methylation marker showed significantly higher methylation levels in all sample types of endometrial cancer patients compared to healthy controls (P < .01). Optimal three-marker combinations demonstrated excellent diagnostic performances with area under the receiver operating curve values of 0.95 (95% CI: 0.92-0.98), 0.94 (0.90-0.97) and 0.97 (0.96-0.99), for endometrial cancer detection in urine, self-samples and scrapes, respectively. Sensitivities ranged from 89% to 93% at specificities of 90% to 92%. Virtually equal performances were obtained after cross-validation and excellent diagnostic performances were maintained for stage I endometrial cancer detection. Our study shows the value of methylation analysis in patient-friendly sample types for endometrial cancer detection of all stages. This approach has great potential to screen patient populations at risk for endometrial cancer.

Effects of Fractionated Radiation Exposure on Vimentin Expression in Cervical Cancers: Analysis of Association with Cancer Stem Cell Response and Short-Term Prognosis

Elucidation of the mechanisms for the response of cancer stem cells (CSCs) to radiation exposure is of considerable interest for further improvement of radio- and chemoradiotherapy of cervical cancer (CC). The aim of this work is to evaluate the effects of fractionated radiation exposure on the expression of vimentin, which is one of the end-stage markers of epithelial-mesenchymal transition (EMT), and analyze its association with CSC radiation response and short-term prognosis of CC patients. The level of vimentin expression was determined in HeLa, SiHa cell lines, and scrapings from the cervix of 46 CC patients before treatment and after irradiation at a total dose of 10 Gy using real-time polymerase chain reaction (PCR) assay, flow cytometry, and fluorescence microscopy. The number of CSCs was assessed using flow cytometry. Significant correlations were shown between vimentin expression and postradiation changes in CSC numbers in both cell lines (R = 0.88, p = 0.04 for HeLa and R = 0.91, p = 0.01 for SiHa) and cervical scrapings (R = 0.45, p = 0.008). Associations were found at the level of tendency between postradiation increase in vimentin expression and unfavorable clinical outcome 3-6 months after treatment. The results clarify some of the relationships between EMT, CSCs, and therapeutic resistance that are needed to develop new strategies for cancer treatment.

Prevalence and Distribution of High- and Low- Risk HPV Genotypes in Women Living in the Metropolitan Area of Naples: A Recent Update.

Human papillomavirus (HPV) can infect both male and female genitals, skin, and mucous membranes, causing benign or malignant lesions. HPV is a common sexually transmitted infection and it is the main cause of cervical cancer. The present retrospective study updated the previously published data on HPV genotypes distribution among women living in Naples. In this study, 502 cervical scrape specimens were collected from women with abnormal cytological indication and analyzed for HPV DNA identification by Linear Array HPV genotyping test. The HPV infection rate was 24.1%. HPV-16 (14.6%) was the most representative HR-HPV genotypes, followed by HPV-31 (13.8%), -18 (9.2%), and HPV-51 (8.5%). In addition, HPV-42 (16.4%) was the most prevalent genotype among LR-HPV genotypes (low-risk human papillomavirus). It was also found that women at the age group of 23-29 years (42.5%) were at the highest risk of HPV infection. It was found that the HPV-16 frequency decreased, but HPV-31 and -18 frequency increased a little. The LR HPV-53 frequency decreased, leaving the first place for abundance to the LR HPV-42. HPV-6 frequency did not change. LR HPV -11 was no more present. Merging <23 and 23-29 age classes into one class followed the same result. HPV prevalence declined in comparison to the previous data. A frequency variation was recorded for several genotypes in this study. Data can be useful to implement the preventative strategies and to promote HPV vaccination.

Study to Determine Concordance between High-Risk Human Papilloma Virus DNA Detection in Self Collected First Voided Urine Samples and Health-Care Worker Collected Cervical Samples in a Subset of Women with Proven Histopathological Precancerous and Cancerous Lesions of the Cervix.

The objective of our study was to assess whether urinary samples for human papilloma virus (HPV) detection are a good predictive marker of cervical cancerous and precancerous lesions, by comparing against results from cervical scrapings as the gold standard test. The study is a hospital-based cross-sectional study wherein symptomatic women were screened at the colposcopy clinic. Paired samples-cervical scrapings/washings and urine samples were tested for hr-HPV for women who were found to harbor premalignant and malignant lesions of the cervix in histopathological lesions, by multiplex real-time polymerase chain reaction and HPV genotyping. Diagnostic accuracy was tested by calculating concordance with Cohen's kappa with hr-HPV detection in cervical samples as the gold standard. A total of 295 patients undergoing colposcopy were recruited in the study, out of which 54 had histopathological-proven premalignant and malignant lesions of the cervix. Overall, positivity rate in urinary samples for both HPV 16 and 18 combined is 64.81%, whereas for cervical samples is 68.51%. HPV 16 was seen in 30 (55.5%) and 32 (59.3%) cervical and urinary samples, respectively, whereas HPV 18 was seen in 7 (12.9%) and 6 (11.1%) samples, respectively. There was substantial concordance between the cervical samples and first-void urinary samples results with Cohen's k: 0.6988 (95% confidence interval: From 0.507 to 0.891). There was 85.96% agreement among all the tests that were performed with only 14.04% disagreement. The study showed that HPV DNA detection from the urine and cervical samples showed significant agreeability for the detection of precancerous and cancerous lesions of the cervix among women with abnormal histology results. Thus, urinary sampling can be done as a potential replacement for cervical sampling methods with the added benefit as it can be used in females reluctant to provide cervical samples, if there is no availability of skilled workforce for collecting samples, for mass screening, and for the follow-up of vaccination programs.

Septin9 DNA methylation as a promising biomarker for cervical cancer

Aberrant Septin9 methylation in cervical cancer has been rarely studied. We aimed to identify its diagnostic value in cervical cancer using cervical scrapings, and its predictive potential in plasma for pelvic nodal metastasis of cervical cancer. The statuses of methylated Septin9 in fresh cervical lesions and cervical scrapings were first evaluated by using quantitative methylation-specific PCR. Subsequently, the relationship between Septin9 methylation in 113 plasma samples and pelvic nodal metastasis of cervical cancer was evaluated. Methylated Septin9 was detected in all cancerous tissues, but not in cervicitis. The degrees of Septin9 methylation increased with growing severity of cervical lesions in cervical scrapings. The sensitivity of methylated Septin9 was lower than that of cytology, while it yielded a high specificity and area under the curve in detecting high-grade squamous intraepithelial lesion or cervical cancer; and when Septin9 methylation combined with HPV16/18 genotyping, the sensitivity would increase from 70.42% to 82.39%. Plasma-based Septin9 methylation had a high discriminatory power in predicting pelvic nodal metastasis of cervical cancer, with an optimal specificity of 81.48%. In conclusion, we demonstrated methylated Septin9 to be an innovative diagnostic biomarker for cervical cancer and its non-invasive predictive potential in plasma for pelvic nodal metastasis of cervical cancer. Impact statement What is already known on this subject? The occurrence of cervical cancer is related to Septin9 methylation. In fresh specimens and cervical scrapings, we found the degrees of methylated Septin9 increased with growing severity of cervical lesions. Compared with HPV16/18 genotyping and cytological detection, Septin9 methylation had a better specificity and AUC in detecting ≥ HSIL. Furthermore, plasma-based Septin9 methylation also had a high specificity for pelvic lymphatic metastasis prediction. What the results of this study add? Methylation analysis of Septin9 indicated a similar sensitivity, specificity and AUC in detecting ≥ HSIL, relative to HPV16/18 genotyping. Compared with cytological method, Septin9 methylation also yielded a higher specificity and AUC in detecting ≥ HSIL. And we also found plasma-based Septin9 methylation had a high discriminatory power in predicting pelvic nodal metastasis of cervical cancer, with an optimal specificity of 81.48%; additionally an increasing sensitivity from 50% to nearly 80% was found when combined with SCCAg. What the implications are of these findings for clinical practice and/or further research? This study aimed to evaluate the relationship between Septin9 methylation and cervical cancer, and to explore the value of methylated Septin9 in the detection of cervical (pre)cancerous lesions. Moreover, we would explore plasma-based ctDNA biomarkers for pelvic lymphatic metastasis prediction of cervical cancer, to improve non-invasive predictive accuracy of pelvic nodal metastasis and reduce the complications caused by pelvic lymphadenectomy.

Validation of ASCL1 and LHX8 Methylation Analysis as Primary Cervical Cancer Screening Strategy in South African Women with Human Immunodeficiency Virus.

Compared with women who are human immunodeficiency virus (HIV) negative, women with human immunodeficiency virus (WWH) have a higher human papillomavirus (HPV) prevalence and increased cervical cancer risk, emphasizing the need for effective cervical cancer screening in this population. The present study aimed to validate methylation markers ASCL1 and LHX8 for primary screening in a South African cohort of WWH. In this post hoc analysis within the DIAgnosis in Vaccine And Cervical Cancer Screen (DiaVACCS) study, a South African observational multicenter cohort study, cervical scrape samples from 411 HIV-positive women were analyzed for hypermethylation of ASCL1 and LHX8 genes, HPV DNA, and cytology. Sensitivities, specificities, and positive and negative predictive values of primary methylation-based, HPV-based and cytology-based screening were calculated for the detection of cervical intraepithelial neoplasia of grade 3 or higher. Single markers ASCL1 and LHX8 resulted in a good performance for the detection of cervical intraepithelial neoplasia of grade 3 or higher, with sensitivities of 85.9% (95% confidence interval [CI], 78.2%-93.6%) and 89.7% (83.0%-96.5%), respectively, and specificities of 72.9% (67.3%-78.5%) and 75.0% (69.5%-80.5%). Combining markers ASCL1 and LHX8 resulted in a lower sensitivity compared with HPV testing (84.6% vs 93.6%, respectively; ratio, 0.90 [95% CI, .82-.99]) and a higher specificity (86.7% vs 78.3%; ratio 1.11 [1.02-1.20]) and reduced the referral rate from 46.8% to 33.4%. ASCL1/LHX8 methylation had a significantly higher sensitivity than cytology (threshold, high-grade intraepithelial squamous lesion or worse), (84.6% vs 74.0%, respectively; ratio, 1.16 [95% CI, 1.01-1.32]) and similar specificity (86.7% vs 91.0%; ratio, 0.95 [.90-1.003]). Our results validate the accuracy of ASCL1/LHX8 methylation analysis for primary screening in WWH, which offers a full-molecular alternative to cytology- or HPV-based screening, without the need for additional triage testing.

Inosine pranobex in the treatment of mild cervical intraepithelial neoplasia (experience of clinical use)

Introduction. The article reflects the experience of treating patients with papillomavirus- associated lesion of the cervix – mild cervical intraepithelial neoplasia (CIN I) with the use of an immunostimulant with antiviral activity – inosine pranobex (tablets 500 mg) with an assessment of clinical and microbiological efficacy. Aim. Evaluation of the effectiveness of immunomodulatory and antiviral therapy in patients with mild cervical intraepithelial neoplasia with a drug containing inosine pranobex. Materials and methods. An analysis of treatment with a drug containing inosine pranobex (tablets 500 mg) of 78 women with CIN I (36 months of monitoring) was carried out. Methods: colposcopy, histological examination of biopsy specimens of cervical areas, Pap-test, PCR HPV (qualitative and quantitative), immunohistochemical (determination of markers p16ink4D, Ki-67). Results. Presented experience of therapy with three-year monitoring of patients diagnosed with CIN I am using an oral immunostimulant with antiviral activity – inosine pranobex – (1000 mg 3 times a day for 28 days 1 time per year, showed its high clinical (84.2 %) and microbiological (83.3 %) efficacy with satisfactory tolerability of the drug. Сonclusion. Immunotropic and nonspecific antiviral monotherapy with an oral inosine pranobex drug showed high clinical (recovery of colposcopic status – 83.3 %, cytohistologically confirmed absence of CIN in cervical scrapings – 85.9 %) and microbiological (PCR-negative HPV – 83.3 %) efficacy during the three-year monitoring.