Enzalutamide
DrugGiven PO
Other names: ASP9785, MDV3100, Xtandi
NCT Number: NCT02099864
This phase II trial studies genetic and molecular mechanisms in assessing response in patients with prostate cancer receiving enzalutamide therapy. Androgens can cause the growth of prostate cancer cells. Antihormone therapy, such as enzalutamide, may lessen the amount of androgens made by the body. Studying samples of tissue and blood in the laboratory from patients with prostate cancer may help doctors better understand castration-resistant prostate cancer. It may also help doctors make improvements in prostate cancer treatment.
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Notify Me18 year and older
Male
Interventional
Phase 2
UCSF Medical Center-Mount Zion, San Francisco, California, United States
PRIMARY OBJECTIVE:
I. To assess the correlations between baseline molecular features and pathways and prostate-specific antigen (PSA) change (</>= 50% decline) at 12 weeks versus (vs.) baseline.
SECONDARY OBJECTIVES:
I. To measure PSA change at 12 weeks and at each study visit vs. baseline after enzalutamide treatment.
II. To measure objective response after enzalutamide treatment. III. To assess the correlations between the baseline molecular features and pathways and progression-free survival, disease-specific survival, and overall survival.
IV. To assess the correlations between the baseline molecular features and pathways and time to PSA progression.
V. To identify molecular features and cellular pathways present in tumors from men with metastatic castrate-resistant prostate cancer (CRPC) that are progressing despite enzalutamide treatment.
VI. To explore correlation between baseline molecular features and pathways and changes in circulating tumor cells (CTCs) counts.
VII. To explore correlation between baseline molecular features and pathways and objective response.
VIII. To assess the correlations between the baseline molecular features and pathways and degree of PSA decline at 12 weeks and maximal PSA decline observed while on study.
IX. To assess the correlations between the baseline molecular features and time on treatment.
EXPLORATORY OBJECTIVES:
I. To assess correlations between cell-free deoxyribonucleic acid (DNA) (cfDNA) molecular features from blood and molecular features and pathways from the biopsy samples.
II. To assess correlations between cfDNA molecular features and endpoints in the primary and secondary objectives listed above.
III. To assess correlations between cell-free DNA and tumor molecular features and changes in PSA after discontinuing enzalutamide.
IV. To explore correlations with baseline molecular features and tissue histology.
V. To explore correlations with baseline tissue histology and PSA change, time to PSA progression, time on treatment, progression-free survival, and overall survival.
OUTLINE:
Patients receive enzalutamide orally (PO) once daily (QD) in the absence of disease progression or unacceptable toxicity. Patients undergo a tumor biopsy of a metastatic site at study entry (prior to initiation of enzalutamide) and after the time of progression. Patients may continue treatment beyond progression at the investigator's discretion.
After completion of study treatment, patients are followed up at 2-3 or 6 weeks and then every 12 weeks thereafter.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Given PO
Other names: ASP9785, MDV3100, Xtandi
Time frame: Baseline to 12 weeks
The percentage of participants with a >= 50% decline in PSA values will be reported with 95% exact confidence interval. For each participant, percentage decline in PSA values are calculated as 100% times the difference between PSA values taken at baseline and 12 weeks divided by PSA values at baseline. Percentage of participants determined as 100% times the number of participants with >= 50% decline divided by overall number of participants.
Time frame: Baseline to 12 weeks
Evaluate the association between PSA response at 12 weeks after initiating therapy, and TP53 copy number alterations and mutations at baseline. Simple Logistic regression was planned but due to sample size we used Fisher's Exact test. Percentage of patients in each arm with TP53 copy number alterations and mutations will be reported and odds ratio with two-sided 95% confidence interval will be calculated.
Time frame: Baseline to 12 weeks
Evaluate the association between PSA response at 12 weeks after initiating therapy, and PTEN copy number alterations and mutations at baseline. Simple Logistic regression was planned but due to sample size we used Fisher's Exact test. Percentage of patients in each arm with PTEN copy number alterations and mutations will be reported and odds ratio with two-sided 95% confidence interval will be calculated.
Time frame: Baseline to 12 weeks
Evaluate the association between PSA response at 12 weeks after initiating therapy, and RB1 copy number alterations and mutations at baseline. Simple Logistic regression was planned but due to sample size we used Fisher's Exact test. Percentage of patients in each arm with RB1 copy number alterations and mutations will be reported and odds ratio with two-sided 95% confidence interval will be calculated.
Time frame: Baseline to 12 weeks
Median AR mRNA expression between responders and non-responders.
Time frame: Baseline to 12 weeks
Median AR-V7 expression between responders and non-responders.
Time frame: Baseline to 12 weeks
Evaluate the association between PSA response at 12 weeks after initiating therapy, and AR copy number alterations and mutations at baseline. Simple Logistic regression was planned but due to sample size we used Fisher's Exact test. Percentage of patients in each arm with AR copy number alterations and mutations will be reported and odds ratio with two-sided 95% confidence interval will be calculated.
Time frame: Baseline to 12 weeks
The number of participants, responders and non-responders, that were found to have protein expression of AR.
Time frame: Baseline to 12 weeks
Median Normalized Enrichment Score (NES) AR activity levels of responders and non-responders. Gene Set Enrichment Analysis (GSEA) is used to interpret gene expression data. GSEA enrichment score (ES) reflects the degree to which a gene set (GS) is overrepresented at the top or bottom of a ranked list of genes. ES is calculated by walking down the list, increasing a running-sum statistic when a gene is in the GS and decreasing when it's not. Magnitude of increment depends on correlation of the gene with the phenotype. ES is the max deviation from zero encountered in walking the list. Positive ES indicates GS enrichment at the top of the list; negative indicates GS enrichment at the bottom. GSEA calculates NES as actual ES divided by mean (ESs against all permutations of the dataset). Low AR activity has been linked to stemness and lineage plasticity that are recognized as a cause of acquired resistance to AR-targeting therapies.
Time frame: Baseline to up to 5 years
Number of patients who achieved a 50% or greater PSA decline any time after 12 weeks post-baseline.
Time frame: Baseline to date of first documented radiographic objective response, assessed up to 1 year
The percentage of participants with an objective response will be reported with 95% exact confidence interval. Objective radiographic response is evaluated using the new international criteria proposed by the revised Response Evaluation Criteria in Solid Tumors (RECIST) guideline (version 1.1). Changes in the largest diameter (unidimensional measurement) of the tumor lesions and the shortest diameter in the case of malignant lymph nodes are used in the RECIST criteria. For each participant, objective response is calculated as 100% times the difference between the sum of measurable target lesions at baseline and the smallest sum of measurable target lesions achieved after the initiation of therapy, divided by the sum of target lesions at baseline.
Time frame: Time from day 1 of study drug treatment to date of first documented radiographic progression or clinical progression, assessed up to 5 years
Correlations between baseline molecular features and pathways and PFS will be assessed using cox regression model. In addition, Kaplan-Meier plots will be used to graphically illustrate the survival distributions across the strata of categorical molecular predictors.
Time frame: Time from day 1 of study drug treatment to date of death from prostate cancer, assessed up to 5 years
Correlations between baseline molecular features and pathways and DSS will be assessed using cox regression model. In addition, Kaplan-Meier plots will be used to graphically illustrate the survival distributions across the strata of categorical molecular predictors.
Time frame: Time from day 1 of study drug treatment to date of death from any cause, assessed up to 5 years
Correlations between baseline molecular features and pathways and OS will be assessed using cox regression model. In addition, Kaplan-Meier plots will be used to graphically illustrate the survival distributions across the strata of categorical molecular predictors.
Time frame: Up to 5 years
Correlations between baseline molecular features and pathways and time to PSA progression will be assessed.
Time frame: Up to 5 years
Random Forests classification will be used to identify molecular features and pathways present in patients with disease progression or who discontinue Enzalutamide treatment.
Time frame: Baseline to up to 5 years
Linear regression model will be used to assess the association for changes in CTC counts from baseline and maximal prostate-specific antigen (PSA) observed while on study.
Time frame: At 12 weeks
Degree of prostate-specific antigen (PSA) change from baseline to 12 weeks. PSA at week 12 minus PSA at baseline divided by PSA at baseline and multiplied by 100%. Decline shown as negative percent and incline shown as positive percent.
Time frame: Up to 5 years
Correlations between baseline molecular features and pathways and maximal PSA decline observed will be assessed. Linear regression model will be used to assess the association for changes in circulating tumor cells (CTC) counts from baseline and maximal PSA observed while on study.
Time frame: Up to 5 years
The association between molecular predictors and survival outcomes (e.g., progression-free survival [PFS], disease-free survival [DSS] and overall survival [OS]) and time on treatment will be assessed using cox regression model.
OHSU Knight Cancer Institute
Other
Molecular Mechanisms Underlying Tumor Progression Despite Enzalutamide Treatment
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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