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Diagnostic plasma miRNA-profiles for ovarian cancer in patients with pelvic mass


Autoři: Douglas Nogueira Perez Oliveira aff001;  Anting Liu Carlsen aff002;  Niels H. H. Heegaard aff002;  Kira Philipsen Prahm aff001;  Ib Jarle Christensen aff001;  Claus K. Høgdall aff004;  Estrid V. Høgdall aff001
Působiště autorů: Department of Pathology, Herlev Hospital, University of Copenhagen, Herlev, Denmark aff001;  Department of Autoimmunology and Biomarkers, Statens Serum Institut, Copenhagen, Denmark aff002;  Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark aff003;  Department of Gynaecology, Juliane Marie Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark aff004
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pone.0225249

Souhrn

Background

Ovarian cancer is the fifth most common cancer in women worldwide. Moreover, there are no reliable minimal invasive tests to secure the diagnosis of malignant pelvic masses. Cell-free, circulating microRNAs have the potential as diagnostic biomarkers in cancer. Here, we performed and validated a miRNA panel with the potential to distinguish OC from benign pelvic masses.

Methods

The profile of plasma microRNA was determined with a panel of 46 candidates in a discovery group and a validation group, each consisting of 190 pre-surgery plasma samples from age-matched patients with malignant (n = 95) and benign pelvic mass (n = 95), by real time RT-qPCR.

Results

Four up-regulated (miR-200c-3p, miR-221-3p, miR-21-5p, and miR-484) and two down-regulated (miR-195-5p and miR-451a) microRNAs were discovered. From those, miR-200c-3p and miR-221-3p were further confirmed in a validation cohort. A combination of these 2 microRNAs together with CA-125 yielded an overall diagnostic accuracy of AUC = 0.96.

Conclusions

We showed consistent plasma microRNA profiles that provide independent diagnostic information of late stage OC.

Klíčová slova:

Diagnostic medicine – Cancer detection and diagnosis – MicroRNAs – Biomarkers – Surgical and invasive medical procedures – Adenocarcinomas – Surgical oncology – Ovarian cancer


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