Organizing the Cellular and Molecular Heterogeneity in High-Grade Serous Ovarian Cancer by Mass Cytometry

Abstract

Tumor heterogeneity in high grade serous ovarian cancer (HG-SOC) represents a significant barrier for successful therapeutic intervention. To further understand the cell types contributing to this heterogeneity we performed a comprehensive phenotypic characterization of 22 primary ovarian tumor samples. Our unsupervised analysis revealed shared and circumscribed patterns of tumor cell types across multiple HG-SOC primary samples. In addition to identifying cells characteristic of epithelial tumors we found several repeatedly observed, though previously unrecognized, cell types. These included three unique E-cadherin-expressing cell subsets, cell subsets co-expressing E-cadherin and vimentin and critically one subset that co-expressed high levels of all stem cell markers interrogated. Poorer prognosis tumors had an increased frequency of cells co-expressing vimentin, HE4 and cMyc and also showed greater overall phenotypic heterogeneity quantified by Simpsons Diversity Index. Importantly the novel cell types identified have the potential to become a focus for developing new therapies as well as a means of monitoring the disease.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1039026

Entities

People

  • Garry P. Nolan
  • Wendy J. Fantl

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Cancer
  • Cell Line
  • Cell Physiological Processes
  • Cells
  • Correlation Analysis
  • Data Analysis
  • Diseases And Disorders
  • Frequency
  • Genetics
  • Immune System
  • Lymphocytes
  • Neoplasms
  • Ovarian Cancer
  • Stem Cells
  • Therapy

Fields of Study

  • Biology

Readers

  • Breast cancer cell signaling and growth regulation.
  • Immunology and Pathology
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology