Renske DM Steenbergen

DNA Methylation Markers for Endometrial Cancer Detection in Minimally Invasive Samples: A Systematic Review

Colposcopy referrals and CIN3 detection after triage by host cell DNA methylation and/or HPV genotyping in HPV positive women with low‐grade cytology from a population‐based Dutch primary HPV screening trial

AbstractHigh‐risk HPV (hrHPV)‐based screening has led to many unnecessary colposcopy referrals, mainly because of direct referral after low‐grade cytology (ASC‐US/LSIL). DNA methylation and genotyping tests on ASC‐US/LSIL samples have the potential to significantly improve the efficiency of screening. In this study, 12 triage strategies were constructed from FAM19A4/miR124‐2 or ASCL1/LHX8 methylation, HPV16/18 or HPV16/18/31/33/45 genotyping and 1‐year repeat cytology. The performance was evaluated on 215 hrHPV‐positive ASC‐US/LSIL samples from the IMPROVE trial (NTR5078). Performance was measured by colposcopy referral rate, positive predictive value (PPV) for detecting precancer (CIN3), and negative predictive value (NPV). To evaluate efficiency, strategies were ordered by the cumulative colposcopy referral rate after 1‐year cytology and compared by the marginal PPV to detect one additional CIN3 (mPPV). The most conservative strategy (referral when HPV16/18 and FAM19A4/miR124 methylation results are positive) had a direct referral rate of 5.2%, a cumulative referral rate after 1‐year cytology of 54.1%, and mPPV of 19.3%. Replacing HPV16/18 by HPV16/18/31/33/45 increased the cumulative 1‐year referral rate to 54.6%, and yielded an mPPV of 10.0%. Similar results were obtained for strategies with ASCL1/LHX8 methylation. Of all strategies, referral after an HPV16/18/31/33/45 positive, ASCL1/LHX8 methylation‐positive, and/or 1‐year cytology‐positive result yielded the highest direct and cumulative 1‐year colposcopy referral rates of 64.4% and 79.1%, respectively. The NPVs after 1‐year cytology varied between 98.1% and 99.4%, warranting a return to routine screening. Altogether, DNA methylation‐based triage strategies are recommended as they are discriminative for CIN3 and control the number of immediate colposcopy referrals.

Recurrent cervical cancer detection using DNA methylation markers in self‐collected samples from home

AbstractEarly detection of recurrent cervical cancer is important to improve survival rates. The aim of this study was to explore the clinical performance of DNA methylation markers and high‐risk human papillomavirus (HPV) in cervicovaginal self‐samples and urine for the detection of recurrent cervical cancer. Cervical cancer patients without recurrence (n = 47) collected cervicovaginal self‐samples and urine pre‐ and posttreatment. Additionally, 20 patients with recurrent cervical cancer collected cervicovaginal self‐samples and urine at time of recurrence. All samples were self‐collected at home and tested for DNA methylation and high‐risk HPV DNA by PCR. In patients without recurrent cervical cancer, DNA methylation levels decreased 2‐years posttreatment compared to pretreatment in cervicovaginal self‐samples (p < .0001) and urine (p < .0001). DNA methylation positivity in cervicovaginal self‐samples was more frequently observed in patients with recurrence (77.8%) than in patients without recurrence 2‐years posttreatment (25.5%; p = .0004). Also in urine, DNA methylation positivity was more frequently observed in patients with recurrence (65%) compared to those without recurrence (35.6%; p = .038). Similarly, high‐risk HPV positivity in both cervicovaginal self‐samples and urine was more frequent (52.6% and 55%, respectively) in patients with recurrence compared to patients without recurrence (14.9% and 8.5%, respectively) (p = .004 and p = .0001). In conclusion, this study shows the potential of posttreatment monitoring of cervical cancer patients for recurrence by DNA methylation and high‐risk HPV testing in cervicovaginal and urine samples collected at home. The highest recurrence detection rate was achieved by DNA methylation testing in cervicovaginal self‐samples, detecting 77.8% of all recurrences and, specifically, 100% of the local recurrences.

Increased human papillomavirus viral load is correlated to higher severity of cervical disease and poorer clinical outcome: A systematic review

Abstract Cervical cancer is the fourth most common cancer in women worldwide and is caused by persistent infection with high‐risk types of human papillomavirus (HPV). HPV viral load, the amount of HPV DNA in a sample, has been suggested to correlate with cervical disease severity, and with clinical outcome of cervical cancer. In this systematic review, we searched three databases (EMBASE, PubMed, Web of Science) to examine the current evidence on the association between HPV viral load in cervical samples and disease severity, as well as clinical outcome. After exclusion of articles not on HPV, cervical cancer, or containing clinical outcomes, 85 original studies involving 173 746 women were included. The vast majority (73/85 = 85.9%) reported that a higher viral load was correlated with higher disease severity or worse clinical outcome. Several studies reported either no correlation (3/85 = 3.5%), or the opposite correlation (9/85 = 10.6%); possible reasons being different categorization of HPV viral load levels, or the use of specific sampling methods. Despite variations in study design and populations, the above findings suggest that HPV viral load is correlated to clinical outcome, and may become an important biomarker for treatment selection and response monitoring for cervical cancer.

Evaluation of Six Methylation Markers Derived from Genome-Wide Screens for Detection of Cervical Precancer and Cancer

FAM19A4/miR124‐2 methylation in invasive cervical cancer: A retrospective cross‐sectional worldwide study

Widespread adoption of primary human papillomavirus (HPV)‐based screening has encouraged the search for a triage test which retains high sensitivity for the detection of cervical cancer and precancer, but increases specificity to avoid overtreatment. Methylation analysis of FAM19A4 and miR124‐2 genes has shown promise for the triage of high‐risk (hr) HPV‐positive women. In our study, we assessed the consistency of FAM19A4/miR124‐2 methylation analysis in the detection of cervical cancer in a series of 519 invasive cervical carcinomas (n = 314 cervical scrapes, n = 205 tissue specimens) from over 25 countries, using a quantitative methylation‐specific PCR (qMSP)‐based assay (QIAsure Methylation Test®). Positivity rates stratified per histotype, FIGO stage, hrHPV status, hrHPV genotype, sample type and geographical region were calculated. In total, 510 of the 519 cervical carcinomas (98.3%; 95% CI: 96.7–99.2) tested FAM19A4/miR124‐2 methylation‐positive. Test positivity was consistent across the different subgroups based on cervical cancer histotype, FIGO stage, hrHPV status, hrHPV genotype, sample type and geographical region. In conclusion, FAM19A4/miR124‐2 methylation analysis detects nearly all cervical carcinomas, including rare histotypes and hrHPV‐negative carcinomas. These results indicate that a negative FAM19A4/miR124‐2 methylation assay result is likely to rule out the presence of cervical cancer.

Clinical validation of methylation biomarkers for optimal detection of high‐grade vulvar intraepithelial neoplasia

Abstract The precursor lesions of vulvar squamous cell carcinoma (VSCC) include human papillomavirus (HPV)‐associated and HPV‐independent squamous neoplasia with a varying cancer risk. Our study aimed to validate the accuracy of previously identified DNA methylation markers for detection of such high‐grade vulvar intraepithelial neoplasia (VIN). A large clinical series of 751 vulvar lesions, originally diagnosed as high‐grade VIN, were reassessed and categorized into HPV‐associated or HPV‐independent vulvar disease categories. Together with 113 healthy vulvar controls, all samples were tested for 12 methylation markers with quantitative multiplex methylation‐specific PCR (qMSP). Performance of individual markers and selection of an optimal marker panel for detection of high‐grade VIN was determined by logistic regression analysis. SST was the best‐performing individual marker (AUC 0.90), detecting 80% of high‐grade VIN cases, with excellent detection of HPV‐independent VIN (95%), known to have the highest cancer risk. Merely 2% of controls tested methylation positive for SST . Selection of a marker panel, including ZNF582 , SST and miR124‐2 , resulted in a comparably high accuracy for detection of high‐grade VIN (AUC 0.89). In conclusion, we clinically validated the accuracy of 12 DNA methylation markers for detection of high‐grade VIN. SST , as a sole marker or in a panel, provides an optimal diagnostic tool to distinguish high‐grade VIN in need of treatment, particularly HPV‐independent VIN, from low‐grade or reactive vulvar lesions. These findings warrant further prognostic validation of methylation biomarkers for cancer risk stratification of patients with VIN.

Performance of DNA methylation analysis of ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST for the triage of HPV‐positive women: Results from a Dutch primary HPV‐based screening cohort

AbstractMethylation of host‐cell deoxyribonucleic acid (DNA) has been proposed as a promising biomarker for triage of high‐risk (hr) human papillomavirus (HPV) positive women at screening. Our study aims to validate recently identified host‐cell DNA methylation markers for triage in an hrHPV‐positive cohort derived from primary HPV‐based cervical screening in The Netherlands. Methylation markers ASCL1, LHX8, ST6GALNAC5, GHSR, ZIC1 and SST were evaluated relative to the ACTB reference gene by multiplex quantitative methylation‐specific PCR (qMSP) in clinician‐collected cervical samples (n = 715) from hrHPV‐positive women (age 29‐60 years), who were enrolled in the Dutch IMPROVE screening trial (NTR5078). Primary clinical end‐point was cervical intraepithelial neoplasia grade 3 (CIN3) or cancer (CIN3+). The single‐marker and bi‐marker methylation classifiers developed for CIN3 detection in a previous series of hrHPV‐positive clinician‐collected cervical samples were applied. The diagnostic accuracy was visualised using receiver operating characteristic (ROC) curves and assessed through area under the ROC curve (AUC). The performance of the methylation markers to detect CIN3+ was determined using the predefined threshold calibrated at 70% clinical specificity. Individual methylation makers showed good performance for CIN3+ detection, with highest AUC for ASCL1 (0.844) and LHX8 (0.830). Combined as a bi‐marker panel with predefined threshold, ASCL1/LHX8 yielded a CIN3+ sensitivity of 76.9% (70/91; 95% CI 68.3‐85.6%) at a specificity of 74.5% (465/624; 95% CI 71.1‐77.9%). In conclusion, our study shows that the individual host‐cell DNA methylation classifiers and the bi‐marker panel ASCL1/LHX8 have clinical utility for the detection of CIN3+ in hrHPV‐positive women invited for routine screening.

Classification of high‐grade cervical intraepithelial neoplasia by p16ink4a, Ki‐67, HPV E4 and FAM19A4/miR124‐2 methylation status demonstrates considerable heterogeneity with potential consequences for management

AbstractHigh‐grade cervical intraepithelial neoplasia (CIN2 and CIN3) represents a heterogeneous disease with varying cancer progression risks. Biomarkers indicative for a productive human papillomavirus (HPV) infection (HPV E4) and a transforming HPV infection (p16ink4a, Ki‐67 and host‐cell DNA methylation) could provide guidance for clinical management in women with high‐grade CIN. This study evaluates the cumulative score of immunohistochemical expression of p16ink4a (Scores 0‐3) and Ki‐67 (Scores 0‐3), referred to as the “immunoscore” (IS), in 262 CIN2 and 235 CIN3 lesions derived from five European cohorts in relation to immunohistochemical HPV E4 expression and FAM19A4/miR124‐2 methylation in the corresponding cervical scrape. The immunoscore classification resulted in 30 lesions within IS group 0‐2 (6.0%), 151 lesions within IS group 3‐4 (30.4%) and 316 lesions within IS group 5‐6 (63.6%). E4 expression decreased significantly from CIN2 to CIN3 (P < .001) and with increasing immunoscore group (Ptrend < .001). Methylation positivity increased significantly from CIN2 to CIN3 (P < .001) and with increasing immunoscore group (Ptrend < .001). E4 expression was present in 9.8% of CIN3 (23/235) and in 12.0% of IS group 5‐6 (38/316). Notably, in a minority (43/497, 8.7%) of high‐grade lesions, characteristics of both transforming HPV infection (DNA hypermethylation) and productive HPV infection (E4 expression) were found simultaneously. Next, we stratified all high‐grade CIN lesions, based on the presumed cancer progression risk of the biomarkers used, into biomarker profiles. These biomarker profiles, including immunoscore and methylation status, could help the clinician in the decision for immediate treatment or a “wait and see” policy to reduce overtreatment of high‐grade CIN lesions.

Delta-Like Ligand–Notch1 Signaling Is Selectively Modulated by HPV16 E6 to Promote Squamous Cell Proliferation and Correlates with Cervical Cancer Prognosis

Abstract Human papillomavirus (HPV) drives high-grade intraepithelial neoplasia and cancer; for unknown reasons, this occurs most often in the cervical transformation zone. Either mutation or HPV E6–driven inhibition of Notch1 can drive neoplastic development in stratified squamous epithelia. However, the contribution of Notch1 and its Delta-like ligands (DLL) to site susceptibility remains poorly understood. Here, we map DLL1/DLL4 expression in cell populations present in normal cervical biopsies by immunofluorescence. In vitro keratinocyte 2D monolayer models, growth assays, and organotypic raft cultures were used to assess the functional role of DLL–Notch signaling in uninfected cells and its modulation by HPV16 in neoplasia. An RNA sequencing–based gene signature was used to suggest the cell of origin of 279 HPV-positive cervical carcinomas from The Cancer Genome Atlas and to relate this to disease prognosis. Finally, the prognostic impact of DLL4 expression was investigated in three independent cervical cancer patient cohorts. Three molecular cervical carcinoma subtypes were identified, with reserve cell tumors the most common and linked to relatively good prognosis. Reserve cells were characterized as DLL1−/DLL4+, a proliferative phenotype that is temporarily observed during squamous metaplasia and wound healing but appears to be sustained by HPV16 E6 in raft models of low-grade and, more prominently, high-grade neoplasia. High expression of DLL4 was associated with an increased likelihood of cervical cancer–associated death and recurrence. Taken together, DLL4–Notch1 signaling reflects a proliferative cellular state transiently present during physiologic processes but inherent to cervical reserve cells, making them strongly resemble neoplastic tissue even before HPV infection has occurred. Significance: This study investigates cervical cancer cell-of-origin populations and describes a DLL–Notch1 phenotype that is associated with disease prognosis and that might help identify cells that are susceptible to HPV-induced carcinogenesis.

Functional Screen for microRNAs Suppressing Anchorage-Independent Growth in Human Cervical Cancer Cells

The progression of anchorage-dependent epithelial cells to anchorage-independent growth represents a critical hallmark of malignant transformation. Using an in vitro model of human papillomavirus (HPV)-induced transformation, we previously showed that acquisition of anchorage-independent growth is associated with marked (epi)genetic changes, including altered expression of microRNAs. However, the laborious nature of the conventional growth method in soft agar to measure this phenotype hampers a high-throughput analysis. We developed alternative functional screening methods using 96- and 384-well ultra-low attachment plates to systematically investigate microRNAs regulating anchorage-independent growth. SiHa cervical cancer cells were transfected with a microRNA mimic library (n = 2019) and evaluated for cell viability. We identified 84 microRNAs that consistently suppressed growth in three independent experiments. Further validation in three cell lines and comparison of growth in adherent and ultra-low attachment plates yielded 40 microRNAs that specifically reduced anchorage-independent growth. In conclusion, ultra-low attachment plates are a promising alternative for soft-agar assays to study anchorage-independent growth and are suitable for high-throughput functional screening. Anchorage independence suppressing microRNAs identified through our screen were successfully validated in three cell lines. These microRNAs may provide specific biomarkers for detecting and treating HPV-induced precancerous lesions progressing to invasive cancer, the most critical stage during cervical cancer development.

Clinical Regression of High-Grade Cervical Intraepithelial Neoplasia Is Associated With Absence of FAM19A4/miR124-2 DNA Methylation (CONCERVE Study)

PURPOSE Cervical screening can prevent cancer by detection and treatment of cervical intraepithelial neoplasia grade 2 or 3 (CIN2/3). Screening also results in considerable overtreatment because many CIN2/3 lesions show spontaneous regression when left untreated. In this multicenter longitudinal cohort study of women with untreated CIN2/3, the prognostic value of FAM19A4/miR124-2 methylation was evaluated for clinical regression. PATIENTS AND METHODS Women with CIN2/3 were prospectively followed for 24 months. Surgical excision was replaced by a wait-and-see policy. FAM19A4/miR124-2 methylation was evaluated on all clinician-collected samples and self-collected samples collected at baseline. Every 6 months, human papillomavirus (HPV) testing and cytology were conducted on a clinician-collected sample, and a colposcopic examination was performed by a gynecologist to exclude progression. At the final study visit, two biopsies were taken. Clinical regression was defined as histologically confirmed absence of CIN2+ or an HPV-negative clinician-collected sample with normal cytology. Regression incidences were estimated using the Kaplan-Meier method. RESULTS One hundred fourteen women (median age, 30 years; range, 20-53 years) were included, 80 of whom were diagnosed with CIN2 and 34 with CIN3. During the study, 65.8% of women (75/114) did not receive surgical treatment. Women with a negative FAM19A4/miR124-2 result on the baseline clinician-collected sample showed more clinical regression (74.7%) than women with a positive methylation result (51.4%, P = .013). Regression in women with a negative FAM19A4/miR124-2 methylation test was highest when cytology was atypical squamous cells of undetermined significance/low-grade squamous intraepithelial lesion (88.4%) or HPV16 was negative (85.1%). CONCLUSION Most women with untreated CIN2/3 and a negative baseline FAM19A4/miR124-2 methylation test showed clinical regression. Methylation, in combination with cytology or HPV genotyping, can be used to support a wait-and-see policy in women with CIN2/3.

HPV and DNA Methylation Testing in Urine for Cervical Intraepithelial Neoplasia and Cervical Cancer Detection

Abstract Purpose: Biomarker detection in urine offers a potential solution to increase effectiveness of cervical cancer screening programs by attracting nonresponders. In this prospective study, the presence of high-risk human papillomavirus (hrHPV) DNA and the performance of DNA methylation analysis was determined for the detection of cervical cancer and high-grade cervical intraepithelial neoplasia (CIN2/3) in urine, and compared with paired cervicovaginal self-samples and clinician-taken cervical scrapes. Experimental Design: A total of 587 samples were included from 113 women with cervical cancer, 92 women with CIN2/3, and 64 controls. Samples were tested for hrHPV DNA and five methylation markers. Univariate and multivariate logistic regression and leave-one-out cross-validation were used to determine the methylation marker performance for CIN3 and cervical cancer (CIN3+) detection in urine. Agreement between samples was determined using Cohen kappa statistics and the Spearman correlation coefficients. Results: HrHPV presence was high in all sample types, 79% to 92%. Methylation levels of all markers in urine significantly increased with increasing severity of disease. The optimal marker panel (ASCL1/LHX8) resulted in an AUC of 0.84 for CIN3+ detection in urine, corresponding to an 86% sensitivity at a 70% predefined specificity. At this threshold 96% (109/113) of cervical cancers, 68% (46/64) of CIN3, and 58% (14/24) of CIN2 were detected. Between paired samples, a strong agreement for HPV16/18 genotyping and a fair to strong correlation for methylation was found. Conclusions: HrHPV DNA and DNA methylation testing in urine offers a promising solution to detect cervical cancer and CIN2/3 lesions, especially for women currently unreached by conventional screening methods.

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

AbstractEndometrial 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.

Methylation testing for the detection of recurrent cervical intraepithelial neoplasia

AbstractWomen 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 and copy number alterations in the progression of HPV‐associated high‐grade vulvar intraepithelial lesion

AbstractHuman papillomavirus (HPV)‐associated high‐grade vulvar intraepithelial lesion (HSIL) is a precursor of vulvar squamous cell carcinoma (VSCC). Because of the 8% cancer risk, many vulvar HSIL patients undergo aggressive and mutilating treatments. Characterizing HSIL by their progression risk can help individualize treatment strategies. Accordingly, copy number alterations (CNAs) and DNA methylation have been identified as biomarkers for cancer risk stratification of HSIL. Here, we assessed their potential correlation, and relation to HPV16 (sub)lineages and progression to vulvar cancer. Eighty‐two vulvar formalin‐fixed paraffin‐embedded (FFPE) samples, including controls, HSIL, HSIL adjacent to VSCC and VSCC, with previously determined DNA methylation profiles, were analysed for CNAs using mFAST‐SeqS. Genome‐wide z‐scores were calculated to determine overall aneuploidy (aneuploidy scores), and compared to the methylation levels and status of marker panel ZNF582/SST/miR124‐2. For 52 HPV16‐positive cases, HPV (sub)lineages were determined by Sanger sequencing. HPV16 lineage A was predominant (86.4%), followed equally by lineages B, C, and D. Frequent chromosomal alterations included chr1pq, chr3q, chr9q gains, and chr2q, chr4q losses. Median aneuploidy scores increased across disease categories, from 0 in controls, to 3 in HSIL, 16 in HSIL adjacent to VSCC and 29 in VSCC. A positive relationship between aneuploidy scores and DNA methylation levels was found (ρ = 0.61, Spearman's rank correlation test). Aneuploidy scores were significantly higher in methylation‐positive samples (p < .001). In conclusion, we showed that DNA methylation and CNAs both rise with increasing severity of disease, indicating their prognostic value for cancer risk stratification of HSIL, while no relation to HPV16 (sub)lineages was found.

Evaluation of DNA Methylation Markers for Endometrial Cancer Risk-stratification Using Patient-collected Urine and Vaginal Samples and Clinician-collected Cervical Samples From Women With Postmenopausal Bleeding

The goal of this observational study is to investigate the clinical utility of DNA-methylation testing in urine and vaginal samples collected by patients and cervical samples collected by clinicians, to determine the risk of endometrial cancer in symptomatic women with postmenopausal bleeding. The study aims to answer the following research questions: * What is the diagnostic accuracy of DNA methylation testing in urine, vaginal and cervical samples compared to traditional TVUS for endometrial cancer detection? * What is the 2-year risk of EC among women testing negative on TVUS and/or DNA methylation tests or those testing positive on methylation only? Researchers will compare DNA methylation testing in patient-collected urine and vaginal samples as well as in clinician-collected cervical samples, with the traditional diagnostic pathway for women with PMB, which includes TVUS evaluation, and when indicated by abnormal TVUS findings, endometrial biopsy according to clinical guidelines. Participants will * take a urine and vaginal sample * have a cervical sample collected by a clinician * undergo TVUS evaluation according to clinical guidelines * If TVUS shows thickened endometrium (≥ 5 mm) and/or irregularity, an endometrial biopsy will be collected according to clinical guidelines * fill out a questionnaire regarding acceptability and preferences of sampling methods and complete a lifestyle questionnaire.

The Clinical Utility of DNA Methylation Testing in Patient-collected Urine and Vaginal Samples to Detect Endometrial Cancer: a Case-control Study

The goal of this observational case-control study is to investigate the use of DNA-methylation testing in patient-collected urine and vaginal samples to detect endometrial cancer. The study aims to answer the following questions: * Can DNA methylation testing in vaginal and full-void urine samples distinguish endometrial cancer cases from healthy controls? Researchers will compare patient-collected urine and vaginal samples from patients with diagnosed endometrial cancer (cases) to gynaecologically and oncologically healthy controls (controls). Participants will * take a urine and vaginal sample at the hospital. * answer a questionnaire regarding acceptability and preferences of self-sampling methods. * answer a lifestyle questionnaire.

Role of Methylation Test Triage in HPV Positive Women

The pathological results were used as the gold standard in this study and the investigators analyze the diagnostic value of six gene methylation status (ASTN1 DLX1, ITGA4, RXFP3, SOX17, ZNF671) in triaging high-risk human papillomavirus infection. The sensitivity and specificity of methylation test and cytology in the diagnosis of high-grade cervical lesions are compared in order to providing new methods and basis in improving the accuracy of cervical cancer screening.