Froedtert Hospital
Milwaukee, Wisconsin, 53226, United States
NCT Number: NCT02366494
Identify exosomal micro RNA that predict responses to ADT
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Notify Me21 year–85 year
Male
Observational
Milwaukee, Wisconsin, 53226, United States
The study team will collect blood samples from patients with systemic disease pretreatment (at enrollment), three months post-treatment and at the time of progression of disease (or at two years post-ADT for patients still in remission at that time point) and then perform next-generation sequencing using serum exosomal RNAs derived from these patients.
The investigators plan to identify exosomal RNAs signatures that change between pretreatment (at enrollment) and during treatment (at three months) and further explore the effect of these changes on disease response. The investigators also plan to compare exosomal RNA levels between patients relapse within the first two years versus those in remission at two years. Among patients with progression, the investigators plan to compare exosomal RNA signatures at progression of disease to signatures at pretreatment and during treatment.
Secondary objectives: Selected RNAs, identified through the above process will be validated using real-time RT-PCR assay to test reproducibility of RNA sequencing results. The investigators expect to select and validate approximate five RNA markers that predict duration of response to ADT.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
ANDROGEN BLOCKADE
Other names: Casodex
ANDROGEN BLOCKADE
Other names: Lupron
ANDROGEN BLOCKADE
Other names: Zoladex
ANDROGEN BLOCKADE
Other names: Trelstar
Chemo hormonal therapy
Other names: Taxotere
Chemo hormonal therapy
Other names: Zytiga
Nonsteroidal antiandrogen medication
Other names: Erleada
Nonsteroidal antiandrogen medication
Other names: Xtandi
Time frame: Up to two years
Two hundred to 300 microRNAs will be identified by RNA sequencing. This outcome measure will report the read count per million of the top-five most prevalent microRNAs that correlate with responses.
Medical College of Wisconsin
Other
Utility of Exosomal microRNAs to Predict Response to Androgen Deprivation Therapy in Prostate Cancer Patients
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
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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