Quantitative Phase Microscopy for Real-Time Clinical Determination of Drug Therapy Response in Primary and Metastatic Breast Cancer

Abstract

There are no biomarkers that can accurately predict chemotherapy response in advanced cancer patients and less than 10% of patients with a detected targetable mutation are eligible for a clinical trial. There is a need for new diagnostic methods that can accurately stratify high-risk patients to effective, FDA-approved therapies. Our current patient-derived models for assessing tumor drug response require 1-8 months to obtain drug sensitivity profiles making these impractical for patient care. In this project we will develop a functional assay with the new capability to predict cancer cell response to therapy within 2 d of sample collection in terms of both population response and single-cell heterogeneity. In year 1 we have developed the technical platform for this work which will be applied in years 2 and 3. Overall, our project will provide real-time feedback to oncologists on drug sensitivity/resistance and resistant subpopulations.

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Document Details

Document Type
Technical Report
Publication Date
Mar 20, 2020
Accession Number
AD1101259

Entities

People

  • Bryan Welm
  • Byeong-ii Kang
  • Edward R. Polanco
  • Kenneth Boucher
  • Philip Bernard
  • Tarek Moustafa
  • Thomas A. Zangle

Organizations

  • University of Utah

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Breast Cancer
  • Cell Line
  • Chemical Engineering
  • Culture Techniques
  • Data Analysis
  • Drug Therapy
  • Engineering
  • Genetic Techniques
  • Measurement
  • Medical Personnel
  • Neoplasms
  • Optics
  • Personalized Medicine
  • Physicians
  • Standards
  • Students
  • Therapy

Fields of Study

  • Biology
  • Medicine

Readers

  • Computational Modeling and Simulation
  • Oncology