This research trial studies molecular characterization of circulating tumor cells (CTCs) and circulating tumor (ct) deoxyribonucleic acid (DNA) in blood and plasma samples from patients with prostate cancer that has spread to other places in the body and/or has not responded to previous treatment with hormones. Studying samples of blood and plasma collected from patients with prostate cancer before, during, and/or after treatment in the laboratory may help doctors learn more about changes that occur in DNA and identify the development of drug resistance.
PRIMARY OBJECTIVES: I. Perform molecular analysis of plasma samples from 25 patients with metastatic prostate cancer collected before and during treatment of the disease with abiraterone acetate (Zytiga) or enzalutamide (Xtandi). II. Perform molecular characterization of circulating tumor cells (CTCs) and plasma collected from 75 patients with progressing advanced metastatic prostate cancer. OUTLINE: Patients are assigned to 1 of 2 groups based on the timing of specimen collection. GROUP I: Previously collected plasma samples are analyzed for ctDNA via polymerase chain reaction (PCR) and next generation sequencing (NSG). GROUP II: Patients undergo collection of blood samples before and following systemic therapy for analysis of CTC enumeration, ribonucleic acid (RNA) expression, and ctDNA via PCR and NSG.
Study Type
OBSERVATIONAL
Enrollment
24
Undergo collection of blood samples
Correlative studies
USC Norris Comprehensive Cancer Center
Los Angeles, California, United States
Proportion of patients with elevated CTCs
Descriptive statistics will also be applied to summarize levels of CTC numbers. The predominant statistical approaches will include correlation indices and mean comparisons to explore relations within the full data set and between clinical variables and expression data. The predominant statistical approaches will include correlation indices and mean comparisons to explore relations within the full data set and between clinical variables and expression data. The proportion of patients with elevated CTCs will be estimated using a 90% confidence interval.
Time frame: Up to 2 years
Expression of individual markers according to clinical stage, serum PSA, and pathologic grade
Descriptive statistics will also be applied to summarize expression of individual markers according to clinical variables (clinical stage, serum PSA, pathologic grade, etc). The predominant statistical approaches will include correlation indices and mean comparisons to explore relations within the full data set and between clinical variables and expression data.
Time frame: Up to 2 years
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.