Diagnostic accuracy of mutational analysis along the Müllerian tract to detect ovarian cancer.


Journal

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
ISSN: 1525-1438
Titre abrégé: Int J Gynecol Cancer
Pays: England
ID NLM: 9111626

Informations de publication

Date de publication:
05 12 2022
Historique:
pubmed: 18 11 2022
medline: 7 1 2023
entrez: 17 11 2022
Statut: epublish

Résumé

Ovarian cancer is known for its poor prognosis, which is mainly due to the lack of early symptoms and adequate screening options. In this study we evaluated whether mutational analysis in cervicovaginal and endometrial samples could assist in the detection of ovarian cancer. In this prospective multicenter study, we included patients surgically treated for either (suspicion of) ovarian cancer or for a benign gynecological condition (control group). A cervicovaginal self-sample, a Papanicolaou (Pap) smear, a pipelle endometrial biopsy, and the surgical specimen were analyzed for (potentially) pathogenic variants in eight genes ( Based on surgical histology, our dataset comprised 29 patients with ovarian cancer and 32 controls. In 83% of the patients with ovarian cancer, somatic (potentially) pathogenic variants could be detected in the final surgical specimen, of which 71% included at least a Mutational analysis in cervicovaginal and endometrial samples has limited accuracy in the detection of ovarian cancer. Future research with cytologic samples analyzed on methylation status or the vaginal microbiome may be relevant.

Identifiants

pubmed: 36384753
pii: ijgc-2022-003911
doi: 10.1136/ijgc-2022-003911
pmc: PMC9763223
doi:

Types de publication

Multicenter Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1568-1575

Informations de copyright

© IGCS and ESGO 2022. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Auteurs

Majke H D van Bommel (MHD)

Obstetrics & Gynaecology, Radboud Institute for Health Science, Radboudumc, Nijmegen, The Netherlands majke.vanbommel@radboudumc.nl.

Johanna M A Pijnenborg (JMA)

Obstetrics & Gynaecology, Radboud Institute for Health Science, Radboudumc, Nijmegen, The Netherlands.

Louis J M van der Putten (LJM)

Obstetrics & Gynaecology, Radboud Institute for Health Science, Radboudumc, Nijmegen, The Netherlands.

Johan Bulten (J)

Pathology, Radboudumc, Nijmegen, The Netherlands.

Marc P L M Snijders (MPLM)

Obstetrics and Gynaecology, Catharina Hospital, Eindhoven, The Netherlands.

Heidi V N Küsters-Vandevelde (HVN)

Pathology, Catharina Hospital, Eindhoven, The Netherlands.

Sanne Sweegers (S)

Pathology, Radboudumc, Nijmegen, The Netherlands.

M Caroline Vos (MC)

Obstetrics and Gynaecology, Elisabeth-TweeSteden Ziekenhuis, Tilburg, The Netherlands.

Marjolein J L Ligtenberg (MJL)

Pathology, Radboudumc, Nijmegen, The Netherlands.
Human Genetics, Radboudumc, Nijmegen, The Netherlands.

Astrid Eijkelenboom (A)

Pathology, Radboudumc, Nijmegen, The Netherlands.

Joanne A de Hullu (JA)

Obstetrics & Gynaecology, Radboud Institute for Health Science, Radboudumc, Nijmegen, The Netherlands.

Casper Reijnen (C)

Radiation Oncology, Radboudumc, Nijmegen, The Netherlands.

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Classifications MeSH