Molecular Profiles of Serum-Derived Extracellular Vesicles in High-Grade Serous Ovarian Cancer

Li Zhao, Sara Corvigno, Shaolin Ma, Joseph Celestino, Nicole D. Fleming, Richard A. Hajek, Adrian Lankenau Ahumada, Nicholas B. Jennings, Erika J. Thompson, Hongli Tang, Shannon N. Westin, Amir A. Jazaeri, Jianhua Zhang, P. Andrew Futreal, Anil K. Sood, Sanghoon Lee

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Patients with high-grade serous ovarian cancer (HGSC) who have no visible residual disease (R0) after primary surgery have the best clinical outcomes, followed by patients who undergo neoadjuvant chemotherapy (NACT) and have a response enabling interval cytoreductive surgery. Clinically useful biomarkers for predicting these outcomes are still lacking. Extracellular vesicles (EVs) have been recognized as liquid biopsy-based biomarkers for early cancer detection and disease surveillance in other disease settings. In this study, we performed extensive molecular characterization of serum-derived EVs and correlated the findings with therapeutic outcomes in patients with HGSC. Using EV-DNA whole-genome sequencing and EV-RNA sequencing, we identified distinct somatic EV-DNA alterations in cancer-hallmark genes and in ovarian cancer genes, as well as significantly altered oncogenic pathways between the R0 group and NACT groups. We also found significantly altered EV-RNA transcriptomic variations and enriched pathways between the groups. Taken together, our data suggest that the molecular characteristics of EVs could enable prediction of patients with HGSC who could undergo R0 surgery or respond to chemotherapy.

Original languageEnglish (US)
Article number3589
JournalCancers
Volume14
Issue number15
DOIs
StatePublished - Aug 2022

Keywords

  • chemotherapy response
  • extracellular vesicle
  • high-grade serous ovarian cancer
  • RNA sequencing
  • whole-genome sequencing

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

MD Anderson CCSG core facilities

  • Advanced Technology Genomics Core
  • Tissue Biospecimen and Pathology Resource
  • High Resolution Electron Microscopy Facility

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