Understanding the Role of Matrix Microstructure in Metastasis

Abstract

In this project we will address the underlying mechanisms by which certain light-scattering properties of the tumor ECM predict metastasis. Understanding the mechanisms of this novel phenomenon may yield novel insights into metastatic processes, leading to new treatments for metastatic breast cancer. It may also uncover additional prognostic indicators, improving our predictive ability and further reducing overtreatment. The light scattering phenomenon in question is the direction that second harmonic generation light scatters from collagen fibers, the "F/B ratio". F/B is sensitive to the diameter of fibrils that are bundled into collagen fibers, as well as the spacing and disorder of their packing within the fiber, altogether known as a fiber's "microstructure". To begin to address why collagen microstructure, reported by F/B, predicts patients metastatic outcome, we must first determine how that microstructure is defined by cells within the tumor, and the cues that influence those cells to do so.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2021
Accession Number
AD1214522

Entities

People

  • Bradley Turner
  • Catherine Kuo
  • Edward B Brown
  • Kelley Madden
  • Rachel Farkas
  • Robert Strawderman

Organizations

  • University of Rochester

Tags

DTIC Thesaurus Topics

  • Biological Sciences
  • Biomedical Engineering
  • Breast Cancer
  • Cancer
  • Carcinoma
  • Cell Movement
  • Cells
  • Chemistry
  • Data Analysis
  • Data Mining
  • Data Science
  • Information Science
  • Measurement
  • Medical Personnel
  • Neoplasms
  • Oncology
  • Optical Properties
  • Predictive Modeling
  • Statistical Analysis
  • Surgery
  • Tumor Cell Line

Readers

  • Nanocomposite Materials Science
  • Oncology
  • Pulsed Power and Plasma Physics.

Technology Areas

  • Space