Prostate Cancer Clinical Trial
Official title:
A Phase II, Double-Blind, Placebo-Controlled Prospective Randomized Clinical Trial Evaluating the Role of an Empiric 2-Week Course of Ciprofloxacin on Rates of Detection of Cancer by Prostate Biopsy in Men With Abnormal Serum Prostate Specific Antigen Found at Screening (PREP Trial)
Verified date | July 2018 |
Source | Wake Forest University Health Sciences |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This phase II trial studies ciprofloxacin compared to an inactive treatment (placebo) in diagnosing prostate cancer in patients undergoing removal of prostate cells or tissues for examination (biopsy). Ciprofloxacin is an antibiotic, a type of drug used to treat infections caused by bacteria. Giving ciprofloxacin to patients undergoing a prostate biopsy may help to lower abnormal prostate-specific antigen (PSA) levels caused by bacterial infection of the prostate gland and may or may not affect the detection rate of prostate cancer.
Status | Withdrawn |
Enrollment | 0 |
Est. completion date | July 2016 |
Est. primary completion date | July 2016 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Abnormal serum PSA (total > 2.5 ng/ml or other clinically important biomarker parameters, including PSA velocity and density) associated with or without normal digital rectal examination - Men who have elected to proceed with a diagnostic prostate biopsy - Any prostate size - Willingness and ability to give informed consent Exclusion Criteria: - History of prostate cancer - Urine culture positive for significant urinary tract infection (UTI) - A history of antibiotic use within one month prior to initial PSA level measurement - Allergy to fluoroquinolones - Currently taking imperative medications with significant drug-drug interaction with ciprofloxacin - Compromised renal function with estimated glomerular filtration rate (GFR) of < 30 ml/min/1.73m^2 |
Country | Name | City | State |
---|---|---|---|
United States | Veterans Administration Medical Center. | Salisbury | North Carolina |
United States | Comprehensive Cancer Center of Wake Forest University | Winston-Salem | North Carolina |
Lead Sponsor | Collaborator |
---|---|
Wake Forest University Health Sciences | National Cancer Institute (NCI) |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | BPH or erectile dysfunction | In order to determine if BPH or erectile dysfunction are associated with abnormal PSA or prostatic inflammation reported in the biopsy specimen, 2x2 Chi Square tests will be used where each measure will be dichotomized. In addition, the consistency of these associations across the two treatment groups will be examined using a 3-way table and examining the Breslow Day test to see whether the odds ratios for each treatment are comparable. | Up to 8 weeks | |
Other | Change in urinalysis pre- and post-treatment | In order to determine the correlation between change in PSA from randomization to biopsy and urinalysis pre- and post-ciprofloxacin, the Pearson correlations of the change in PSA with white blood cells pre- and post-ciprofloxacin vs. placebo will be estimated. If the data is found to be non-normal the Spearman rank correlations will be used for this analysis. | Up to 8 weeks | |
Other | Change in prostate massage outcomes | The correlation between change in PSA and prostate massage pre- and post-ciprofloxacin vs placebo will be determined. Will examine whether there is a significant difference in PSA changes between the ciprofloxacin group and placebo group for different prostate massage outcomes using a 2-way analysis of variance (ANOVA) model. Will consider creating contrasts within the ANOVA model to test whether there is an ordered (possibly linear) relationship between levels of prostate massage and PSA change values (i.e., fitting a one-degree of freedom contrast within the ANOVA models). | Up to 8 weeks | |
Other | Change in flora levels | In order to determine the qualitative and quantitative difference in flora obtained from rectal swab pre- and post- two week course of ciprofloxacin vs. placebo 2-sample t-tests will be used to compare the change in these measures (for quantitative measures) and 2x2 Chi-Square tests to examine qualitative changes (Improve Yes/no by treatment group). | 2 weeks | |
Other | Prostate symptom severity (IPSS) and erectile function (IIEF-5) | To assess the correlation between prostate symptom severity (IPSS) and erectile function (IIEF-5) at baseline to ciprofloxacin or placebo treatment, an analysis of covariance model will be fit that examines the follow-up measure (IPSS) as the outcome, with the treatment indicator and IIEF-5 measure as predictors and their interaction included to see if the relationship depends on treatment. | Day 1 | |
Other | Pathology findings | In order to correlate urinary, prostate massage or rectal swab findings to pathology findings including cancer, inflammation, prostatic intra-epithelial neoplasia, atypical acinar proliferation or other findings will either estimate Pearson or Spearman correlations (depending on the distribution of the measures) or one measure is binary (i.e., cancer yes/no) then will examine 2-sample t-tests. | Up to 1 month | |
Primary | Prostate cancer detection rates | Will be compared between groups using a binomial test to compare rates in the two groups. Groups will also be compared using logistic regression models to adjust for any pre-treatment patient level characteristics. | Up to 8 weeks | |
Secondary | Change in PSA | The data will be analyzed on a logarithmic scale to stabilize the variance. The change in log PSA from randomization to biopsy will be compared between the two groups using a two-sample t-test. In addition, the baseline log PSA levels will be compared between the two groups and if they are found to be imbalanced a 1-way analysis of covariance will be used to compare groups by including the baseline pre-randomization log-PSA value as the covariate in the model. | Up to 8 weeks | |
Secondary | Rates of post-biopsy complications (including duration of hematuria, hematochezia, hematospermia, fever > 101°F, and hospital admission rates related to biopsy, sepsis, and pain) | Will be compared between groups using Chi-square tests (or Fisher's Exact tests if the expected cell counts are below 5). | Up to 8 weeks |
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