Genomic Diversity and the Microenvironment as Drivers of Progression in DCIS

Abstract

The goals of this project are to test if measures of genetic diversity, microenvironmental diversity, and/or mammographic biomarkers can be used to predict which DCIS tumors are most likely to progress to invasive breast cancer. We have applied for and received ethical approval to carry out the study at our primary site, and have completed a series of pilot experiments to determine the best resource (Washington University) that we will use to perform the genomic sequencing of our tumors. We are currently evaluating and optimizing antibodies to measure microenvironmental diversity as well as algorithms for analyzing mammograpies. We have also filtered through our tissue banks to identify the appropriate cases for the full studies, and have even begun work to secure samples for our final validation study. Finally, we have recently published three papers supported by this study in Nature Reviews Clinical Oncology and Philosophical Transactions of the Royal Society. We are making rapid progress and anticipate no problems in meeting our 24 month milestones.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2015
Accession Number
AD1001285

Entities

People

  • Carlo Maley

Organizations

  • University of California, San Francisco

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Antibodies
  • Biological Markers
  • Breast Cancer
  • Cancer
  • Diseases And Disorders
  • Genetic Variation
  • Graphical User Interface
  • Histological Techniques
  • Identification
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Tissue Banks
  • Universities
  • User Interface
  • Validation

Readers

  • Oncology and Biomarker-Based Cancer Detection.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology