This pilot research trial studies the use of a human prostate tissue model to maintain and study prostate cancer stem cells. A human prostate tissue model uses leftover tissue that was removed during surgery from patients with non-cancerous enlargement of the prostate (benign prostatic hyperplasia) and may create an environment similar to the natural environment of the human body. Prostate cancer stem cells are cells that cause cancer to grow. Using real tissue to create an environment to study stem cells may help doctors learn more about how they work and how they respond to treatments.
PRIMARY OBJECTIVES: I. To optimize a decellularized prostate tissue model for the maintenance of prostate cancer stem cells. SECONDARY OBJECTIVES: I. To investigate the self-renewal and differentiation ability of human prostate cancer stem cells (CSCs) (tumor-associated calcium signal transducer 2 \[TROP2\]+ cells) in the above mentioned decellularized prostate tissue model. II. To compare the number of CSCs according to key patient characteristics, including race, age, Gleason, metastasis status, and previous cancer treatment(s). OUTLINE: Tissue samples are collected from patients with benign prostatic hyperplasia for decellularization and preparation as human extracellular matrix for growing human prostate CSCs. Tissue samples are also collected from patients with prostate cancer for the analysis of TROP2+ cells by flow cytometry.
Study Type
OBSERVATIONAL
Enrollment
43
Undergo collection of tissue samples
Correlative studies
Comprehensive Cancer Center at Wake Forest University
Winston-Salem, North Carolina, United States
Comprehensive Cancer Center of Wake Forest University
Winston-Salem, North Carolina, United States
Percent of viable injected cells
Optimization of a decellularized prostate tissue model for the maintenance of prostate cancer stem cells, as measured by the viability of the injected cells at different time points (1 day, 2 days, 3 days, 1 week, 2 weeks, 3 weeks, and 4 weeks) will be evaluated. For each day the percent viable and associated confidence interval will be reported.
Time frame: Up to 4 weeks
Ability to make spheres (cluster of cells)
Also to evaluate the primary objective it will be determined if cells are able to make spheres and if so, confidence intervals for the proportion of injected cells that are able to make spheres will be estimated and provided.
Time frame: Up to 1 year
Ratio of spheres to the amount of injected cells
Also to evaluate the primary objective it will be determined if cells are able to make spheres and if so, confidence intervals for the proportion of injected cells that are able to make spheres will be estimated and provided.
Time frame: Up to 1 year
Number of alive cells (using flow cytometry)
To address the secondary objective of investigating the self-renewal and differentiation ability of human prostate CSCs (TROP2+ cells) decellularized prostate tissue model, the number of alive cells will be observed and an estimate (with confidence interval) of the percentage of the TROP2 positive cells will be obtained at days 3, 7, 14, 21, and 28.
Time frame: Up to 28 days
Percentage of the TROP2 positive cells (using flow cytometry)
To address the secondary objective of investigating the self-renewal and differentiation ability of human prostate CSCs (TROP2+ cells) decellularized prostate tissue model, the number of alive cells will be observed and an estimate (with confidence interval) of the percentage of the TROP2 positive cells will be obtained at days 3, 7, 14, 21, and 28.
Time frame: Up to 28 days
Ability of cells to make glandular structures by observing the structure under microscope and performing immunostaining for epithelial markers like E-Cadherin, beta-catenin
Estimates and confidence intervals for the percent of cells that are able to make glandular structures will also be provided.
Time frame: Up to 1 year
Number of CSCs
The relationships between patient characteristics (including race, age, Gleason, metastasis status, and previous cancer treatment\[s\]) and the number of CSC's will also be investigated. An estimate of the number of CSC's for each level of categorical characteristics and a correlation for those patient characteristics which are continuous will be presented.
Time frame: Up to 1 year
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