scholarly journals Cervical cancer detection by DNA methylation analysis in urine

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Barbara C. Snoek ◽  
Annina P. van Splunter ◽  
Maaike C. G. Bleeker ◽  
Maartje C. van Ruiten ◽  
Daniëlle A. M. Heideman ◽  
...  
2014 ◽  
Vol 67 (12) ◽  
pp. 1067-1071 ◽  
Author(s):  
Lise M A De Strooper ◽  
Marjolein van Zummeren ◽  
Renske D M Steenbergen ◽  
Maaike C G Bleeker ◽  
Albertus T Hesselink ◽  
...  

AimsGene promoter hypermethylation is recognised as an essential early step in carcinogenesis, indicating important application areas for DNA methylation analysis in early cancer detection. The current study was set out to assess the performance of CADM1, MAL and miR124-2 methylation analysis in cervical scrapes for detection of cervical and endometrial cancer.MethodsA series of cervical scrapes of women with cervical (n=79) or endometrial (n=21) cancer, cervical intraepithelial neoplasia grade 3 (CIN3) (n=16) or CIN2 (n=32), and women without evidence of CIN2 or worse (n=120) were assessed for methylation of CADM1, MAL and miR124-2. Methylation analysis was done by the PreCursor-M assay, a multiplex quantitative methylation-specific PCR.ResultsAll samples of women with cervical cancer (79/79, 100%), independent of the histotype, and 76% (16/21; 95% CI 58.0% to 94.4%) of women with endometrial cancer scored positive for DNA methylation for at least one of the three genes. In women without cancer, methylation frequencies increased significantly with severity of disease from 19.2% (23/120; 95% CI 12.1% to 26.2%) in women without CIN2 or worse to 37.5% (12/32; 95% CI 20.7% to 54.3%) and 68.8% (11/16; 95% CI 46.0% to 91.5%) in women with CIN2 and CIN3, respectively. Overall methylation positivity and the number of methylated genes increased proportionally to the lesion severity.ConclusionsDNA methylation analysis of CADM1, MAL and miR124-2 in cervical scrapes consistently detects cervical cancer and the majority of CIN3 lesions, and has the capacity to broaden its use on cervical scrapes through the detection of a substantial subset of endometrial carcinomas.


PLoS ONE ◽  
2015 ◽  
Vol 10 (3) ◽  
pp. e0122495 ◽  
Author(s):  
Erin M. Siegel ◽  
Bridget M. Riggs ◽  
Amber L. Delmas ◽  
Abby Koch ◽  
Ardeshir Hakam ◽  
...  

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Rianne van den Helder ◽  
Birgit M. M. Wever ◽  
Nienke E. van Trommel ◽  
Annina P. van Splunter ◽  
Constantijne H. Mom ◽  
...  

Abstract Background The incidence of endometrial cancer is rising, and current diagnostics often require invasive biopsy procedures. Urine may offer an alternative sample type, which is easily accessible and allows repetitive self-sampling at home. Here, we set out to investigate the feasibility of endometrial cancer detection in urine using DNA methylation analysis. Results Urine samples of endometrial cancer patients (n = 42) and healthy controls (n = 46) were separated into three fractions (full void urine, urine sediment, and urine supernatant) and tested for three DNA methylation markers (GHSR, SST, ZIC1). Strong to very strong correlations (r = 0.77–0.92) were found amongst the different urine fractions. All DNA methylation markers showed increased methylation levels in patients as compared to controls, in all urine fractions. The highest diagnostic potential for endometrial cancer detection in urine was found in full void urine, with area under the receiver operating characteristic curve values ranging from 0.86 to 0.95. Conclusions This feasibility study demonstrates, for the first time, that DNA methylation analysis in urine could provide a non-invasive alternative for the detection of endometrial cancer. Further investigation is warranted to validate its clinical usefulness. Potential applications of this diagnostic approach include the screening of asymptomatic women, triaging women with postmenopausal bleeding symptoms, and monitoring women with increased endometrial cancer risk.


2009 ◽  
Vol 125 (12) ◽  
pp. 2995-3002 ◽  
Author(s):  
Sophia Apostolidou ◽  
Richard Hadwin ◽  
Matthew Burnell ◽  
Allison Jones ◽  
Donna Baff ◽  
...  

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