Article Text

Download PDFPDF
1147 Analysis of MicroRNA signatures of endometriosis related ovarian cancer
  1. Marco Di Stanislao1,
  2. Camelia Alexandra Coada2,
  3. Francesca Gorini1,
  4. Giulia Dondi1,
  5. Marco Tesei1,
  6. Francesco Mezzapesa1,
  7. Antonio De Leo1,
  8. Damiano Paoli1,
  9. Stella Di Costanzo1,
  10. Sabrina Angelini1,
  11. Pierandrea De Iaco3,
  12. Anna Myriam Perrone3 and
  13. Gloria Ravegnini3
  1. 1IRCCS Policlinico S. Orsola-Malpighi, Bologna, Italy
  2. 2Faculty of Medicine, ‘Iuliu Ha?ieganu’ University of Medicine and Pharmacy, Cluj-Napoca, Romania, Cluj, Romania
  3. 3IRCCS Policlinico S. Orsola-Malpighi-University of Bologna, Bologna, Italy


Introduction/Background Endometriosis-related ovarian cancer (EROC) is an entity characterized by the concomitant presence of both endometriosis and ovarian carcinoma. EROC is considered a lesion potentially deriving from endometriotic ovarian lesions with borderline transition. MicroRNAs (miRNAs) have been shown to play important roles in oncogenesis, however their role in EROC is still controversial. The primary aim of this study was to identify dysregulated miRNAs in EROC compared to benign endometriotic tissue.

Methodology This prospective study funded by the Italian Ministry of Health (ENDO-2021–12371926), enrolled patients with ovarian cancer who underwent surgery. MiRNA profiles were analyzed in tissue samples of EROC and borderline/atypical endometriosis and benign endometriotic lesions using the Illumina NextSeq 500 high-output platform. Deregulated miRNA analysis was performed using DESeq2 package. Enrichment analysis was carried out using MiEAA (MicroRNA Enrichment Analysis and Annotation) and Gene Ontology (GO) pathways.

Results The miRNA profile of 39 samples (n=16 EROC, n=7 borderline, n=16 endometriosis samples) obtained from 22 patients with histological diagnosis of EROC were analyzed. Out of the 793 miRNAs identified, differential expression analysis between EROC and endometriosis showed 155 upregulated miRNAs and 175 downregulated in the EROC group (adjusted p-value <0.05) (figure 1). We found a significant enrichment in pathways related to immune signaling, cell migration and proliferation, drug response, oxidative stress response, hypoxia, and estrogen response. ROC (Receiver Operating Characteristics) analysis of the topmost upregulated miRNAs showed high accuracies (1–0.94) in discriminating EROC from endometriosis.

Conclusion Specific miRNAs may serve as valuable diagnostic indicators for early detection of EROC, providing a promising avenue for improving the early diagnosis and management of EROC. Further research and validation studies are warranted to fully establish the clinical utility of these markers.

Disclosures The authors do not have conflicts of interest that could affect the research, or the presentation of the results contained in this abstract.

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.