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

Analysis 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 <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.

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

The 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.

DNA Methylation Signatures in Vaginal Fluid Samples for Detection of Cervical and Endometrial Cancer.

OBJECTIVE: A noninvasive tool that allows individuals to be monitored who are at risk of developing a malignancy is an unmet need. Such a test would need to consist of a molecular signature that allows for gradual judgment to assess the efficacy of preventive strategies. Here we performed a proof-of-principle study to test whether a DNA methylation (DNAme) signature in fluid collected from the vagina is able to identify women with cervical or endometrial cancer. MATERIALS AND METHODS: DNA from vaginal fluid samples from 111 women (30, 8, 73 with endometrial cancer, cervical cancer, and benign gynecological conditions, respectively) were analyzed for DNAme using the Illumina 450k DNA methylation bead array assay, which allows the assessment of DNAme at more than 480.000 CpG sites. We developed a cervical and an endometrial cancer DNAme signature by comparing normal and cancerous cervical and endometrial samples from the publicly available The Cancer Genome Atlas data and developed deviation scores to assess the potential of discriminating cancer from a control sample using a vaginal fluid DNAme signature. RESULTS: More than 60% of variations in DNAme in our vaginal fluid cannot be explained by those clinical or technical factors that we were aware of. Both the cervical and the endometrial cancer DNAme signature resulted in receiver operating characteristic area under the curve between 0.75 and 0.83 to discriminate controls and the cancers for which the signature has been designed for. CONCLUSIONS: Whole DNAme signatures based on array technologies in body fluids are able to discriminate cancer cases from controls.

Clinical epidemiology of epithelial ovarian cancer in the UK.

Epithelial ovarian cancer is the fifth commonest cancer among women and the leading cause of gynecological cancer death in the UK. Most women present with advanced disease, mainly because the nonspecific nature of the symptoms lead to diagnostic delays. Recent data have shown a fall in ovarian cancer mortality rates in the UK, but rates are still higher when compared to other European countries or the USA. In addition, surgeons in the UK achieve on average lower optimal surgical cytoreduction rates in patients with advanced ovarian cancer. Despite a wealth of information on epidemiological risk factors, the pathogenesis of epithelial ovarian cancer remains largely unknown. This review presents the most recent data on incidence, mortality, and survival for epithelial ovarian cancer in the UK. Time trends, trends by age, international comparisons, and regional variation in incidence, survival, and mortality are presented within the context of a major reorganization of cancer services that took place in the UK over 10 years ago. Centralization of cancer services has meant that women with ovarian cancer receive treatment in specialist Cancer Centers.

GALR1 methylation in vaginal swabs is highly accurate in identifying women with endometrial cancer.

Endometrial cancer has become the most common gynecological cancer in developed countries. Postmenopausal bleeding is indicative of the disease in only 1 of 10 women with this symptom. A noninvasive tool to identify women with cancer would be highly desirable. We analyzed more than 27,000 CpGs in normal endometrial tissue (n = 23) and endometrial cancers (n = 64) and found that DNA methylation of GALR1 is among the most frequent epigenetic alterations in this cancer. We then developed a real-time polymerase chain reaction-based GALR1 methylation test and applied this test to vaginal swabs from 79 women who presented with postmenopausal bleeding. The receiver operating characteristics area under the curve, describing sensitivity and specificity to correctly identify the 41 women with both premalignant and malignant endometrial changes, was 0.93 (95% confidence interval, 0.87-0.97; P < 0.0001).GALR1 DNA methylation is one of the most common molecular alterations in endometrial cancer, and the presence of GALR1 methylation in vaginal swabs from women with postmenopausal bleeding indicates the presence of endometrial malignancy with a sensitivity of 92.7% and a specificity of 78.9%.