Tumor Microenvironment Gene Signature as a Prognostic Classifier and Therapeutic Target

Abstract

We identified a tumor microenvironment-based activated fibroblast gene signature that correlates with poor survival in ovarian cancer patients. We are refining this gene signature to develop biomarkers for the identification of patients with adverse outcomes on standard treatment. In the first part of this project, we have analyzed a gene signature for the identification of patients who are unlikely to benefit from standard surgery and/or chemotherapy and should be considered for clinical trials targeting specific pathways in the tumor microenvironment. Specifically, we found that suboptimal surgical outcome is associated with a molecularly aggressive subtype of ovarian cancer characterized by the presence of activated fibroblasts, which likely contributes to chemotherapy resistance. In the current part of the project, we focused on the molecular characterization of activated cancer fibroblasts. First, we defined COL11A1 as a highly specific biomarker of activated fibroblasts. Second, using COL11A1 as a seed to identify coexpressed genes, we demonstrated that activated fibroblasts express a highly conserved gene signature across genetically different epithelial cancer types. In the last part of the project (no-cost extension), we will validate the gene signature in patient samples and develop a preliminary quantitative assay for use in the clinical setting.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2016
Accession Number
AD1021666

Entities

People

  • Sandra Orsulic

Organizations

  • Cedars-Sinai Medical Center

Tags

DTIC Thesaurus Topics

  • Biological Markers
  • Biomedical Research
  • Cancer
  • Cells
  • Chemotherapy
  • Colon Cancer
  • Culture Techniques
  • Diseases And Disorders
  • Epithelial Cells
  • Fibroblasts
  • Gene Expression
  • Medical Personnel
  • Neoplasms
  • Ovarian Cancer
  • Standards
  • Statistical Analysis
  • Tissues

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.
  • Oncology

Technology Areas

  • Biotechnology