Genomic Diversity and the Microenvironment as Drivers of Progression in DCIS

Abstract

The project is designed to test whether genetic and/or tumor environmental heterogeneityis a driving force in progression of breast DCIS. Our project, a collaboration between Duke andASU, has made substantial progress on all 4 aims and we met our 24 month milestones. Primary achievements for 24 months are: 1) Continued Case and control identification through extensive database and medical record searching at Duke, 2) Development of methods for isolating DNA fromarchival DCIS lesions, 3) Deep and comprehensive full exome sequencing for 20 cases from 20-160ng of DNA isolated from these archival FFPE specimens, 4) Comparison of analytic methods to characterize somatic mutations from this full exome sequencing, 5) Application of sequencing library DNA to Illumina SNP arrays for copy number assessment 6) Development of dual immune-staining on DCIS lesions using 6 pairs of antibodies, 7) Sharing of images from these stains with collaborators for quantitative analysis, 8) Identification of a series of upstaged DCIS cases for the radiology aim, 9) Development of image analysis methods for digital mammograms, 10) Approval of both the TBCRC and Duke IRB protocol for the validation aim to initiate collection of DCIS that either did or did not progress to invasive cancer, 11) Full integration of team members over the past year via frequent conferencing, face to face meetings, and constant communication. This multi-disciplinary progress puts our group into an ideal position to fully implement the aims of the project and reach our year 3 and 4 goals.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1027665

Entities

People

  • Carlo Maley

Organizations

  • Arizona State University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Antibodies
  • Biological Staining And Labeling
  • Breast Cancer
  • Cancer
  • Cells
  • Computer Vision
  • Databases
  • Epithelium
  • Genetic Variation
  • Histological Techniques
  • Identification
  • Medical Personnel
  • Mutations
  • Neoplasms
  • Statistical Analysis
  • Validation

Fields of Study

  • Biology

Readers

  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Biotechnology