Early Detection of Castration-Resistant Prostate Cancer by Assessing Interactions Between Circulating Tumor Cells and Accompanying Immune Cells

Abstract

Prostate cancer (PCa) is the most frequently diagnosed cancer in men. In majority of "castration sensitive" patients proliferation of cancer cells can be attenuated by the androgen deprivation therapy (ADT). Unfortunately, many patients develop "castration resistance" (CR) followed by metastatic spread. For effective second-line therapy the resistance needs to be detected early. We postulate that mechanical and immunochemical profiling of blood-isolated "seeds of metastasis" (circulating tumor cells; CTCs) points at CTCs aggressiveness indicating risk of CR. Our specific aims call for determining the role of (1) epithelial-mesenchymal transition (EMT) and (2) interactions with circulating macrophages in survival-promoting mechanical fitness of CTCs. Based on profiling of CTCs and model cultured cells we plan to (3) construct a predictive model for early CR detection. In this reporting period we met the goal for accrual of patients starting ADT and for profiling of patient-isolated CTCs. Consistent with our hypothesis, we detected unique invasiveness-indicating hybrid EMT features in patients' CTCs and model PCa cells co-cultured with model macrophages. To improve fidelity of our cell culture model of acquired aggressiveness, we introduced circulation-simulating fluid shear stress, with very promising initial results. The outcomes include a manuscript submitted and a poster presented with the abstract published.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2019
Accession Number
AD1088704

Entities

People

  • Maria GaczyƄska
  • Pawel A. Osmulski
  • Tim H. Huang

Organizations

  • University of Texas Health Science Center at San Antonio

Tags

DTIC Thesaurus Topics

  • Biomedical Research
  • Cancer
  • Cell Physiological Processes
  • Cells
  • Chemistry
  • Culture Techniques
  • Cultured Cells
  • Gene Expression
  • Health Services
  • Information Science
  • Medical Personnel
  • Metabolism
  • Modulus Of Elasticity
  • Neoplasms
  • Prostate Cancer
  • Statistical Analysis

Fields of Study

  • Biology

Readers

  • Molecular Biology and Genetics
  • Oncology and Biomarker-Based Cancer Detection.
  • Prostate Cancer Biology.