Use of a Novel Embryonic Mammary Stem Cell Gene Signature to Improve Human Breast Cancer Diagnostics and Therapeutic Decision Making

Abstract

Our major goals are to determine whether Fetal Mammary Stem Cell (fMaSC) signatures correlate with response to chemotherapy and metastasis in different breast cancer intrinsic subtypes (AIM1), and to develop single cell sequencing to produce highly refined fMaSC signatures (AIM2). Accomplishing these aims will enable us to: 1) better categorize distinct cell types within the fMaSC population, 2) identify biomarkers for prospective stem cell purification and in situ localization, and 3) identify candidate stem cell regulatory pathways that should reveal therapeutic targets and improved prognosticators and response biomarkers. In the most recent funding period, our bioinformatic analysis identified subsets of fMaSC signature genes that are coordinately expressed in archived human breast cancer gene expression data sets and assessed their prognostic and/or predictive power. We have thus far identified one subset exhibiting significant prognostic value distinct from existing and commonly used clinical variables in the preliminary data sets we have analyzed. We have also adapted a new microfluidics-based, single-cell capture and library preparation system to improve reproducibility in the generation of gene expression profiles from individual fMaSC. These advances provide proof of the principles underlying this grant and leave us well positioned to achieve its aims.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2014
Accession Number
ADA613748

Entities

People

  • Benjamin T Spike
  • Charles M. Perou
  • Geoffrey M Wahl
  • Roger Lasken

Organizations

  • Salk Institute for Biological Studies

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Biological Markers
  • Biology
  • Biomedical Research
  • Breast Cancer
  • Cancer
  • Cells
  • Chemotherapy
  • Data Sets
  • Department Of Defense
  • Diseases And Disorders
  • Epithelial Cells
  • Gene Expression
  • Mammary Glands
  • Neoplasms
  • Statistical Analysis
  • Stem Cells

Fields of Study

  • Biology

Readers

  • Molecular and genetic basis of cancer.

Technology Areas

  • Biotechnology