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483 Deciphering the enigma of heterogeneity in epithelial ovarian cancer through single-cell sequencing
  1. Matteo Marchetti1,
  2. Laura Masatti1,
  3. Carlo Saccardi1,
  4. Marco Noventa1,
  5. Giulia Spagnol1,
  6. Jacopo Ferrari1,
  7. Enrica Calura1 and
  8. Roberto Tozzi2
  1. 1University of Padua, Padova, Italy
  2. 2Department of medicine and surgery, Padova, Italy


Introduction/Background Epithelial ovarian cancer (EOC), notably high-grade serous EOC (HGS-EOC), is a prevalent and lethal cancer in women. Despite the efficacy of initial treatment involving primary surgical cytoreduction and platinum-based chemotherapy, high relapse rates contribute to poor outcomes. This study leverages single-cell RNA-Seq data to delve into gene expression, immune signatures, and pathways, providing insights into the tumor microenvironment (TME) and immune profile of HGS-EOC.

Methodology The single-cell RNA-Seq patient cohort comprises 35 samples from 15 patients, collected pre and post neoadjuvant chemotherapy (NACT) at specific sites: the primary site (ovary or nearby tissues), omentum (the most invaded membrane), and peritoneum (the second most invaded). The procedure involves dissociating fresh samples, conducting flow cytometry analysis with a panel of antibodies, and employing Illumina Next-Seq 2000 for single-cell RNA sequencing, carried out by co-investigators at Humanitas Clinical Institute, Milan

Results Preliminary results from analyzing a complete patient, encompassing a primary sample pre-NACT and three metastatic sites post-NACT, indicate a higher prevalence of the stromal component in metastatic samples compared to the primary site. Dimensionality reduction techniques and the ESTIMATE package are utilized to assess TME composition, deriving tumor, immune, and stromal scores from gene expression profiles.

Conclusion The findings underscore the pivotal role of the TME, particularly the stromal component, in tumor progression. While these initial results highlight distinctions in cell composition between primary and metastatic sites, further analyses with additional samples are imperative for a comprehensive understanding of cell behavior throughout disease progression.

Disclosures None

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