Investigator

Martin Widschwendter

Professor of Cancer Prevention and Screening · Leopold-Franzens-Universität Innsbruck, Research Institute for Biomedical Aging Research

About

MWMartin Widschwend…
Papers(12)
The cervico‐vaginal …Acceptability and som…Performance of the <s…High performance of t…The <scp>WID‐EC</scp>…A Simple Cervicovagin…Methylation Signature…Plasma cell‐free DNA …Cervical cancer scree…Targeting progesteron…Development and Valid…The <scp>WID‐qEC</scp…
Collaborators(10)
Chiara HerzogLena SchreiberhuberCharlotte VavourakisElisa RedlMartin KöbelJoakim DillnerSusan J RamusAline TalhoukKarin SundströmMichael Anglesio
Institutions(6)
University College Lo…King's College LondonUniversity of CalgaryKarolinska InstitutetUniversity of New Sou…University of British…

Papers

The cervico‐vaginal DNA methylation WID ‐ qEC test: An epigenetic marker associated with ovarian cancer in the absence of endometrial and cervical cancer

Abstract The DNA methylation‐based WID‐qEC test, applied to cervico‐vaginal samples, has been validated for the accurate detection of endometrial and cervical cancers. However, a small proportion of women test positive despite the absence of these cancers. The aim of this study was to explore the biological and clinical characteristics associated with such WID‐qEC‐positive cases to inform potential follow‐up strategies. We analyzed 1269 cervico‐vaginal samples from women without endometrial or cervical cancer, including healthy controls ( n  = 624), women with benign gynecological conditions ( n  = 324), and ovarian cancer cases ( n  = 321). Of the 80 WID‐qEC‐positive results, 43 (54%) were from women with ovarian cancer. WID‐qEC positivity was associated with the presence of ovarian cancer (adjusted odds ratio [OR] 2.93; 95% CI 1.75–4.95) and with a higher number of lifetime ovulatory cycles (adjusted OR 2.67; 95% CI 1.06–7.50), a known ovarian cancer risk factor. Both associations were independent of age, menopausal status, hormone replacement therapy usage, or family history of breast or ovarian cancer. Our findings suggest that in the absence of endometrial or cervical cancer, WID‐qEC positivity may indicate an elevated risk or presence of ovarian cancer. While the standalone positive predictive value (PPV) for ovarian cancer detection remains low in the general population, we outline how WID‐qEC could be used in a two‐step triage approach. In women presenting with abnormal bleeding, combining WID‐qEC positivity with a highly specific plasma‐based cell‐free DNA methylation test (e.g., with 60%–80% sensitivity and ~98.4% specificity) could theoretically yield a PPV of around 30%–40%. This hypothetical modeling is intended solely to illustrate how WID‐qEC positivity might inform future triage research, rather than to propose a clinical diagnostic algorithm.

Acceptability and somatic mutations in cervicovaginal self‐sampling for early endometrial cancer detection in women with Lynch syndrome

AbstractNew molecular approaches are being developed to detect endometrial cancer using minimally invasive sampling methods. This study aims to evaluate the acceptability of self‐collected cervicovaginal samples among women with Lynch syndrome, a group at high risk for developing endometrial cancer. Participants collected cervicovaginal self‐samples and answered an at‐home acceptability questionnaire in a cross‐sectional study. Self‐samples from a subset of these women were analyzed for somatic mutations using next‐generation sequencing (NGS), targeting a panel of 47 genes. A total of 61 (88.4%) out of 69 eligible women participated in the study. The overall self‐sampling experience was rated good or very good (N = 55, 90.2%). Most of the women were confident about correctly sampling (N = 58, 95.1%), and most reported no or mild pain (N = 56, 91.8%). During self‐sample collection, most women reported feeling calm and comfortable and experiencing safety, privacy, and normality. In a pilot study using a subset of 15 samples, five somatic variants were identified in four self‐samples (4/15, 26.7%) in ACVR2A, ARID1A, APC, and KMT2D. During follow‐up, three out of four women with variants detected in the self‐sample underwent prophylactic hysterectomy at a median of 9.1 months, while one out of four developed endometrial cancer after 3.9 years since the collection of the sample. Self‐sampling is well‐accepted and well‐tolerated in women with Lynch syndrome and could potentially reduce some barriers associated with gynaecological surveillance. Further research is needed to evaluate the feasibility of implementing cervicovaginal self‐collection and the accuracy of molecular testing for gynaecological surveillance in women with Lynch syndrome.

Performance of the WID‐qEC test to detect uterine cancers in black women with abnormal uterine bleeding: A prospective observational cohort study in Ghana

AbstractThe burden of uterine cancer is growing and, in the US and UK, mortality rates are poorest among black women. Early detection of these cancers is critical and poor performance of ultrasound in black women may contribute to adverse outcomes. Limited data on this topic are available from Africa. We assessed whether a simple DNA methylation test, the WID‐qEC, enables detection of all epithelial uterine (endometrial and cervical) cancers in women presenting with abnormal uterine bleeding (AUB) in Ghana. Among 118 women ≥40 years presenting with AUB, 106 consented to the study and a cervicovaginal sample was obtained for WID‐qEC testing. Subsequent to ultrasound assessment 102 women had a cervical or endometrial biopsy. Histopathology, ultrasound and WID‐qEC testing were analyzed and compared. Among the 102 volunteers, 8 and 15 were diagnosed with endometrial and cervical cancer (EC and CC), respectively. The receiver operating characteristic (ROC) area under the curve (AUC) was 0.56 (95% confidence interval [CI] 0.25–0.86) for sonographic endometrial thickness (ET) and 0.98 (95% CI 0.94–1.00) for the WID‐qEC test. Sensitivity and specificity of the prespecified ET ≥5 mm were 66.7% (95% CI 24.1–94.0) and 22.7 (95% CI 12.0–38.2) and for the prespecified WID‐qEC SUM‐PMR ≥ 0.3 were 100% (95% CI 56.1–100.0) and 76.1 (96%CI 60.9–86.9), respectively. In addition, 15 CCs were detected by the WID‐qEC test [sensitivity 100% (95% CI 74.7–100.0)]. The WID‐qEC test accurately detects both EC and CC in black women presenting with AUB.

High performance of the DNA methylation‐based WID‐qEC test for detecting uterine cancers independent of sampling modalities

AbstractEndometrial cancer (EC) is the most prevalent gynaecological cancer in high‐income countries and its incidence is continuing to rise sharply. Simple and objective tools to reliably detect women with EC are urgently needed. We recently developed and validated the DNA methylation (DNAme)‐based women's cancer risk identification—quantitative polymerase chain reaction test for endometrial cancer (WID‐qEC) test that could address this need. Here, we demonstrate that the stability of the WID‐qEC test remains consistent regardless of: (i) the cervicovaginal collection device and sample media used (Cervex brush and PreservCyt or FLOQSwab and eNAT), (ii) the collector of the specimen (gynaecologist‐ or patient‐based), and (iii) the precise sampling site (cervical, cervicovaginal and vaginal). Furthermore, we demonstrate sample stability in eNAT medium for 7 days at room temperature, greatly facilitating the implementation of the test into diagnostic laboratory workflows. When applying FLOQSwabs (Copan) in combination with the eNAT (Copan) sample collection media, the sensitivity and specificity of the WID‐qEC test to detect uterine (i.e., endometrial and cervical) cancers in gynaecologist‐taken samples was 92.9% (95% confidence interval [CI] = 75.0%–98.8%) and 98.6% (95% CI = 91.7%–99.9%), respectively, whilst the sensitivity and specificity in patient collected self‐samples was 75.0% (95% CI = 47.4%–91.7%) and 100.0% (95% CI = 93.9%–100.0%), respectively. Taken together these data confirm the robustness and clinical potential of the WID‐qEC test.

The WID‐EC test for the detection and risk prediction of endometrial cancer

AbstractThe incidence of endometrial cancer is rising. Measures to identify women at risk and to detect endometrial cancer earlier are required to reduce the morbidity triggered by the aggressive treatment required for advanced endometrial cancer. We developed the WID‐EC (Women's cancer risk IDentification‐Endometrial Cancer) test, which is based on DNA methylation at 500 CpG sites, in a discovery set of cervical liquid‐based cytology samples from 1086 women with and without an endometrial cancer (217 cancer cases and 869 healthy controls) with a worse prognosis (grade 3 or ≥stage IB). We validated the WID‐EC test in an independent external validation set of 64 endometrial cancer cases and 225 controls. We further validated the test in 150 healthy women (prospective set) who provided a cervical sample as part of the routine Swedish cervical screening programme, 54 of whom developed endometrial cancer within 3 years of sample collection. The WID‐EC test identified women with endometrial cancer with a receiver operator characteristic area under the curve (AUC) of 0.92 (95% CI: 0.88‐0.97) in the external set and of 0.82 (95% CI: 0.74‐0.89) in the prospective validation set. Using an optimal cutoff, cancer cases were detected with a sensitivity of 86% and a specificity of 90% in the external validation set, and a sensitivity and specificity of 52% and 98% respectively in the prospective validation set. The WID‐EC test can identify women with or at risk of endometrial cancer.

A Simple Cervicovaginal Epigenetic Test for Screening and Rapid Triage of Women With Suspected Endometrial Cancer: Validation in Several Cohort and Case/Control Sets

PURPOSE Endometrial cancer (EC) incidence has been rising over the past 10 years. Delays in diagnosis reduce survival and necessitate more aggressive treatment. We aimed to develop and validate a simple, noninvasive, and reliable triage test for EC to reduce the number of invasive diagnostic procedures and improve patient survival. METHODS We developed a test to screen and triage women with suspected EC using 726 cervical smear samples from women with and without EC, and validated the test in 562 cervicovaginal samples using three different collection methods (cervical smear: n = 248; vaginal swab: n = 63; and self-collection: n = 251) and four different settings (case/control: n = 388; cohort of women presenting with postmenopausal bleeding: n = 63; a cohort of high-risk women with Lynch syndrome: n = 25; and a nested case/control setting from a screening cohort and samples taken up to 3 years before EC diagnosis: n = 86). RESULTS We describe the Women's cancer risk IDentification – quantitative polymerase chain reaction test for Endometrial Cancer (WID-qEC), a three-marker test that evaluates DNA methylation in gene regions of GYPC and ZSCAN12. In cervical, self-collected, and vaginal swab samples derived from symptomatic patients, it detected EC with sensitivities of 97.2% (95% CI, 90.2 to 99.7), 90.1% (83.6 to 94.6), and 100% (63.1 to 100), respectively, and specificities of 75.8% (63.6 to 85.5), 86.7% (79.3 to 92.2), and 89.1% (77.8 to 95.9), respectively. The WID-qEC identified 90.9% (95% CI, 70.8 to 98.9) of EC cases in samples predating diagnosis up to 1 year. Test performance was similar across menopausal status, age, stage, grade, ethnicity, and histology. CONCLUSION The WID-qEC is a noninvasive reliable test for triage of women with symptoms suggestive of ECs. Because of the potential for self-collection, it could improve early diagnosis and reduce the reliance for in-person visits.

Methylation Signature Implicated in Immuno-Suppressive Activities in Tubo-Ovarian High-Grade Serous Carcinoma

Abstract Background: Better understanding of prognostic factors in tubo-ovarian high-grade serous carcinoma (HGSC) is critical, as diagnosis confers an aggressive disease course. Variation in tumor DNA methylation shows promise predicting outcome, yet prior studies were largely platform-specific and unable to evaluate multiple molecular features. Methods: We analyzed genome-wide DNA methylation in 1,040 frozen HGSC, including 325 previously reported upon, seeking a multi-platform quantitative methylation signature that we evaluated in relation to clinical features, tumor characteristics, time to recurrence/death, extent of CD8+ tumor-infiltrating lymphocytes (TIL), gene expression molecular subtypes, and gene expression of the ATP-binding cassette transporter TAP1. Results: Methylation signature was associated with shorter time to recurrence, independent of clinical factors (N = 715 new set, hazard ratio (HR), 1.65; 95% confidence interval (CI), 1.10–2.46; P = 0.015; N = 325 published set HR, 2.87; 95% CI, 2.17–3.81; P = 2.2 × 10−13) and remained prognostic after adjustment for gene expression molecular subtype and TAP1 expression (N = 599; HR, 2.22; 95% CI, 1.66–2.95; P = 4.1 × 10−8). Methylation signature was inversely related to CD8+ TIL levels (P = 2.4 × 10−7) and TAP1 expression (P = 0.0011) and was associated with gene expression molecular subtype (P = 5.9 × 10−4) in covariate-adjusted analysis. Conclusions: Multi-center analysis identified a novel quantitative tumor methylation signature of HGSC applicable to numerous commercially available platforms indicative of shorter time to recurrence/death, adjusting for other factors. Along with immune cell composition analysis, these results suggest a role for DNA methylation in the immunosuppressive microenvironment. Impact: This work aids in identification of targetable epigenome processes and stratification of patients for whom tailored treatment may be most beneficial.

Plasma cell‐free DNA methylation analysis for ovarian cancer detection: Analysis of samples from a case‐control study and an ovarian cancer screening trial

AbstractAnalysis of cell‐free DNA methylation (cfDNAme), alone or combined with CA125, could help to detect ovarian cancers earlier and may reduce mortality. We assessed cfDNAme in regions of ZNF154, C2CD4D and WNT6 via targeted bisulfite sequencing in diagnostic and early detection (preceding diagnosis) settings. Diagnostic samples were obtained via prospective blood collection in cell‐free DNA tubes in a convenience series of patients with a pelvic mass. Early detection samples were matched case‐control samples derived from the UK Familial Ovarian Cancer Screening Study (UKFOCSS). In the diagnostic set (ncases = 27, ncontrols = 41), the specificity of cfDNAme was 97.6% (95% CI: 87.1%‐99.9%). High‐risk cancers were detected with a sensitivity of 80% (56.3%‐94.3%). Combination of cfDNAme and CA125 resulted in a sensitivity of 94.4% (72.7%‐99.9%) for high‐risk cancers. Despite technical issues in the early detection set (ncases = 29, ncontrols = 29), the specificity of cfDNAme was 100% (88.1%‐100.0%). We detected 27.3% (6.0%‐61.0%) of high‐risk cases with relatively lower genomic DNA (gDNA) contamination. The sensitivity rose to 33.3% (7.5%‐70.1%) in samples taken &lt;1 year before diagnosis. We detected ovarian cancer in several patients up to 1 year before diagnosis despite technical limitations associated with archival samples (UKFOCSS). Combined cfDNAme and CA125 assessment may improve ovarian cancer screening in high‐risk populations, but future large‐scale prospective studies will be required to validate current findings.

Development and Validation of the Gene Expression Predictor of High-grade Serous Ovarian Carcinoma Molecular SubTYPE (PrOTYPE)

Abstract Purpose: Gene expression–based molecular subtypes of high-grade serous tubo-ovarian cancer (HGSOC), demonstrated across multiple studies, may provide improved stratification for molecularly targeted trials. However, evaluation of clinical utility has been hindered by nonstandardized methods, which are not applicable in a clinical setting. We sought to generate a clinical grade minimal gene set assay for classification of individual tumor specimens into HGSOC subtypes and confirm previously reported subtype-associated features. Experimental Design: Adopting two independent approaches, we derived and internally validated algorithms for subtype prediction using published gene expression data from 1,650 tumors. We applied resulting models to NanoString data on 3,829 HGSOCs from the Ovarian Tumor Tissue Analysis consortium. We further developed, confirmed, and validated a reduced, minimal gene set predictor, with methods suitable for a single-patient setting. Results: Gene expression data were used to derive the predictor of high-grade serous ovarian carcinoma molecular subtype (PrOTYPE) assay. We established a de facto standard as a consensus of two parallel approaches. PrOTYPE subtypes are significantly associated with age, stage, residual disease, tumor-infiltrating lymphocytes, and outcome. The locked-down clinical grade PrOTYPE test includes a model with 55 genes that predicted gene expression subtype with &amp;gt;95% accuracy that was maintained in all analytic and biological validations. Conclusions: We validated the PrOTYPE assay following the Institute of Medicine guidelines for the development of omics-based tests. This fully defined and locked-down clinical grade assay will enable trial design with molecular subtype stratification and allow for objective assessment of the predictive value of HGSOC molecular subtypes in precision medicine applications. See related commentary by McMullen et al., p. 5271

The WID‐qEC test: Performance in a hospital‐based cohort and feasibility to detect endometrial and cervical cancers

AbstractThe majority of endometrial and cervical cancers present with abnormal vaginal bleeding but only a small proportion of women suffering from vaginal bleeding actually have such a cancer. A simple, operator‐independent and accurate test to correctly identify women presenting with abnormal bleeding as a consequence of endometrial or cervical cancer is urgently required. We have recently developed and validated the WID‐qEC test, which assesses DNA methylation of ZSCAN12 and GYPC via real‐time PCR, to triage women with symptoms suggestive of endometrial cancer using ThinPrep‐based liquid cytology samples. Here, we investigated whether the WID‐qEC test can additionally identify women with cervical cancer. Moreover, we evaluate the test's applicability in a SurePath‐based hospital‐cohort by comparing its ability to detect endometrial and cervical cancer to cytology. In a set of 23 cervical cancer cases and 28 matched controls the receiver operating characteristic (ROC) area under the curve (AUC) is 0.99 (95% confidence interval [CI]: 0.97‐1.00) with a sensitivity and specificity of 100% and 92.9%, respectively. Amongst the hospital‐cohort (n = 330), the ROC AUC is 0.99 (95% CI: 0.98‐1) with a sensitivity and specificity of 100% and 82.5% for the WID‐qEC test, respectively, and 33.3% and 96.9% for cytology (considering PAP IV/V as positive). Our data suggest that the WID‐qEC test detects both endometrial and cervical cancer with high accuracy.

DNA methylation-based detection and prediction of cervical intraepithelial neoplasia grade 3 and invasive cervical cancer with the WID™-qCIN test

AbstractBackgroundCervical screening using primary human papilloma virus (HPV) testing and cytology is being implemented in several countries. Cytology as triage for colposcopy referral suffers from several shortcomings. HPV testing overcomes some of these but lacks specificity in women under 30. Here, we aimed to develop and validate an automatable triage test that is highly sensitive and specific independently of age and sample heterogeneity, and predicts progression to CIN3+ in HPV+ patients.ResultsThe WID™-qCIN, assessing three regions in human genesDPP6,RALYL, andGSX1,was validated in both a diagnostic (case–control) and predictive setting (nested case–control), in a total of 761 samples. Using a predefined threshold, the sensitivity of the WID™-qCIN test was 100% and 78% to detect invasive cancer and CIN3, respectively. Sensitivity to detect CIN3+ was 65% and 83% for women &lt; and ≥ 30 years of age. The specificity was 90%. Importantly, the WID™-qCIN test identified 52% of ≥ 30-year-old women with a cytology negative (cyt−) index sample who were diagnosed with CIN3 1–4 years after sample donation.ConclusionWe identified suitable DNAme regions in an epigenome-wide discovery using HPV+ controls and CIN3+ cases and established the WID™-qCIN, a PCR-based DNAme test. The WID™-qCIN test has a high sensitivity and specificity that may outperform conventional cervical triage tests and can in an objective, cheap, and scalable fashion identify most women with and at risk of (pre-)invasive cervical cancer. However, evaluation was limited to case–control settings and future studies will assess performance and generalisability in a randomised controlled trial.

The WID-CIN test identifies women with, and at risk of, cervical intraepithelial neoplasia grade 3 and invasive cervical cancer

AbstractBackgroundCervical screening is transitioning from primary cytology to primary human papillomavirus (HPV) testing. HPV testing is highly sensitive but there is currently no high-specificity triage method for colposcopy referral to detect cervical intraepithelial neoplasia grade 3 or above (CIN3+) in women positive for high-risk (hr) HPV subtypes. An objective, automatable test that could accurately perform triage, independently of sample heterogeneity and age, is urgently required.MethodsWe analyzed DNA methylation at ~850,000 CpG sites across the genome in a total of 1254 cervical liquid-based cytology (LBC) samples from cases of screen-detected histologically verified CIN1-3+ (98% hrHPV-positive) and population-based control women free from any cervical disease (100% hrHPV-positive). Samples were provided by a state-of-the-art population-based cohort biobank and consisted of (i) a discovery set of 170 CIN3+ cases and 202 hrHPV-positive/cytology-negative controls; (ii) a diagnostic validation set of 87 CIN3+, 90 CIN2, 166 CIN1, and 111 hrHPV-positive/cytology-negative controls; and (iii) a predictive validation set of 428 cytology-negative samples (418 hrHPV-positive) of which 210 were diagnosed with CIN3+ in the upcoming 1–4 years and 218 remained disease-free.ResultsWe developed the WID-CIN (Women’s cancer risk IDentification-Cervical Intraepithelial Neoplasia) test, a DNA methylation signature consisting of 5000 CpG sites. The receiver operating characteristic area under the curve (AUC) in the independent diagnostic validation set was 0.92 (95% CI 0.88–0.96). At 75% specificity (≤CIN1), the overall sensitivity to detect CIN3+ is 89.7% (83.3–96.1) in all and 92.7% (85.9–99.6) and 65.6% (49.2–82.1) in women aged ≥30 and &lt;30. In hrHPV-positive/cytology-negative samples in the predictive validation set, the WID-CIN detected 54.8% (48.0–61.5) cases developing 1–4 years after sample donation in all ages or 56.9% (47.6–66.2) and 53.5% (43.7–63.2) in ≥30 and &lt;30-year-old women, at a specificity of 75%.ConclusionsThe WID-CIN test identifies the vast majority of hrHPV-positive women with current CIN3+ lesions. In the absence of cytologic abnormalities, a positive WID-CIN test result is likely to indicate a significantly increased risk of developing CIN3+ in the near future.

Concurrent RB1 Loss and BRCA Deficiency Predicts Enhanced Immunologic Response and Long-term Survival in Tubo-ovarian High-grade Serous Carcinoma

Abstract Purpose: The purpose of this study was to evaluate RB1 expression and survival across ovarian carcinoma histotypes and how co-occurrence of BRCA1 or BRCA2 (BRCA) alterations and RB1 loss influences survival in tubo-ovarian high-grade serous carcinoma (HGSC). Experimental Design: RB1 protein expression was classified by immunohistochemistry in ovarian carcinomas of 7,436 patients from the Ovarian Tumor Tissue Analysis consortium. We examined RB1 expression and germline BRCA status in a subset of 1,134 HGSC, and related genotype to overall survival (OS), tumor-infiltrating CD8+ lymphocytes, and transcriptomic subtypes. Using CRISPR-Cas9, we deleted RB1 in HGSC cells with and without BRCA1 alterations to model co-loss with treatment response. We performed whole-genome and transcriptome data analyses on 126 patients with primary HGSC to characterize tumors with concurrent BRCA deficiency and RB1 loss. Results: RB1 loss was associated with longer OS in HGSC but with poorer prognosis in endometrioid ovarian carcinoma. Patients with HGSC harboring both RB1 loss and pathogenic germline BRCA variants had superior OS compared with patients with either alteration alone, and their median OS was three times longer than those without pathogenic BRCA variants and retained RB1 expression (9.3 vs. 3.1 years). Enhanced sensitivity to cisplatin and paclitaxel was seen in BRCA1-altered cells with RB1 knockout. Combined RB1 loss and BRCA deficiency correlated with transcriptional markers of enhanced IFN response, cell-cycle deregulation, and reduced epithelial–mesenchymal transition. CD8+ lymphocytes were most prevalent in BRCA-deficient HGSC with co-loss of RB1. Conclusions: Co-occurrence of RB1 loss and BRCA deficiency was associated with exceptionally long survival in patients with HGSC, potentially due to better treatment response and immune stimulation.

Clinical Trials (3)

NCT07400835University of Aarhus

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.

339Works
15Papers
163Collaborators
3Trials
Early Detection of CancerOvarian NeoplasmsBiomarkers, TumorEndometrial NeoplasmsBreast NeoplasmsPapillomavirus InfectionsCystadenocarcinoma, Serous

Positions

2020–

Professor of Cancer Prevention and Screening

Leopold-Franzens-Universität Innsbruck · Research Institute for Biomedical Aging Research

2020–

Consultant Gynaecological Oncologist

Landeskrankenhaus Hall

2019–

Director

European Translational Oncology Prevention and Screening (EUTOPS) Institute

2009–

Professor in Women’s Cancer

University College London · Women's Cancer

2011–

Head of Department of Women’s Cancer

University College London · Women’s Cancer

2007–

Consultant Surgeon in Gynaecological Oncology

University College London Hospitals NHS Foundation Trust

2007–

Reader in Women’s Cancer

University College London · Gynaecological Oncology

2007–

Senior Lecturer in Breast and Gynaecological Cancer

University College London · Gynaecological Oncology

2005–

Clinical Lecturer in Breast and Gynaecological Cancer

University College London · Gynaecological Oncology

2002–

Consultant and Director of the first certified breast cancer care unit in Austria

Medical University Innsbruck, Austria · Tyrolean Breast Cancer Care Centre

2001–

Senior Research Fellow

University of Southern California · Norris Comprehensive Cancer Centre

1993–

Specialist Registrar for Obstetrics and Gynaecology

Medical University Innsbruck, Austria · Innsbruck Clinic of Gynaecology and Obstetrics

1993–

Junior Consultant Obstetrics and Gynaecology

Medical University Innsbruck, Austria · Innsbruck Clinic of Gynaecology and Obstetrics

Education

2012

Research Senior Leadership

National Institute for Health Research

2007

European Accreditation

University College London Hospital; European Society of Gynaecological Oncology (ESGO) · Gynaecological Oncology

2004

Breast Cancer Centre, Accreditation

Medical University Innsbruck, Austria · Gynaecology and Obstetrics

2000

Certificate of Completion of Specialist Training (CCST)

Medical University Innsbruck; Austrian Medical Association · Gynaecology and Obstetrics

2000

Habilitation

Innsbruck Medical University, Austria

1998

Clinical Investigator: Clinical Trial Management

Austrian Medical Association

1994

US Educational Certification of Foreign Medical Graduates

ECFMG/USMLE

1992

MD

Medical University Innsbruck, Austria

Country

AT