Improving Prostate Cancer Outcome Prediction Through Noninvasive exRNA Assessment
- Abbreviated Name
- PASS: Ref Set App: Cooperberg miRNA (2018)
- Lead Investigator
- Carroll, Peter R. — University of California San Francisco
- Coordinating Investigator
- No coordinating investigator
- Involved Investigators
Abstract
No abstract availalbe.
Aims
The objective of this aim is to leverage this remarkable resource to follow plasma miRNAs during the course of observation. In PASS, plasma samples have been collected every 6 months for the whole cohort. We hypothesize that we will be able to validate the miRNA signature at diagnosis and/or during the course of AS to predict disease course and thus identify the subset of patients that will eventually show clear disease progression. To explore this hypothesis, we will measure miRNAs in semiannual plasma specimens over a 2.5 year period. To our knowledge, this study would be the first time in any cancer where consecutive miRNA measurements are made to follow a disease course. The rationale for performing such a study is that successful identification of a signature could alter treatment course. One exciting possibility is that such a signature could allow the intensity of surveillance to be customized, specifically allowing many men to minimize the frequency of follow-up via invasive and expensive biopsies. Conversely, earlier detection of progression could lead to intervention before the disease becomes incurable.
Analytic Method
No analytic method available.
Comments
Cooperberg is the actual PI
Publications
- No publications available at this time for this protocol.
Biomarkers
- No biomarkers available at this time for this protocol.
Data Collections
- No data collections available at this time for this protocol.
Team Project
- Protocol ID
- 445
- Protocol Type
- Reference Set
- Fields of Research
-
- Epigenomics
- Genomics
- Collaborative Group
- Prostate and Urologic Cancers Research Group
- Cancer Types
-
- Malignant neoplasm of prostate
- Phased Status
- 2