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The DNA methylome of cervical cells can predict the presence of ovarian cancer

James E. Barrett, Allison Jones, Iona Evans, Daniel Reisel, Chiara Herzog, Kantaraja Chindera, Mark Kristiansen, Olivia C. Leavy, Ranjit Manchanda, Line Bjørge, Michal Zikan, David Cibula and Martin Widschwendter ()
Additional contact information
James E. Barrett: European Translational Oncology Prevention and Screening (EUTOPS) Institute
Allison Jones: University College London
Iona Evans: University College London
Daniel Reisel: University College London
Chiara Herzog: European Translational Oncology Prevention and Screening (EUTOPS) Institute
Kantaraja Chindera: University College London
Mark Kristiansen: University College London
Olivia C. Leavy: University of Leicester
Ranjit Manchanda: Barts Health NHS Trust, Royal London Hospital
Line Bjørge: Haukeland University Hospital
Michal Zikan: Hospital Na Bulovce
David Cibula: General University Hospital in Prague, First Faculty of Medicine, Charles University
Martin Widschwendter: European Translational Oncology Prevention and Screening (EUTOPS) Institute

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract The vast majority of epithelial ovarian cancer arises from tissues that are embryologically derived from the Müllerian Duct. Here, we demonstrate that a DNA methylation signature in easy-to-access Müllerian Duct-derived cervical cells from women with and without ovarian cancer (i.e. referred to as the Women’s risk IDentification for Ovarian Cancer index or WID-OC-index) is capable of identifying women with an ovarian cancer in the absence of tumour DNA with an AUC of 0.76 and women with an endometrial cancer with an AUC of 0.81. This and the observation that the cervical cell WID-OC-index mimics the epigenetic program of those cells at risk of becoming cancerous in BRCA1/2 germline mutation carriers (i.e. mammary epithelium, fallopian tube fimbriae, prostate) further suggest that the epigenetic misprogramming of cervical cells is an indicator for cancer predisposition. This concept has the potential to advance the field of risk-stratified cancer screening and prevention.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-26615-y

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DOI: 10.1038/s41467-021-26615-y

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