Predicting Prostate Cancer Progression at Time of Diagnosis
Abstract
We have made further progress toward the stated goals of the project over the past year. We have completed accession and processing of all 397 blood specimens from UCSF (Aim 1), as well as blood and urine specimens for 450 PASS participants (Aim 2). We have accessioned >180 of the tissue specimens as well. The remaining blood specimens from University of Washington (Aim 1) are expected within the next several weeks, and we are in the process of collecting the remaining tissue specimens. Preliminary serum studies suggest an association of IL-6 levels, but not TGF-beta levels, with upgrading / upstaging between biopsy and surgery. Urinary PCA3 and TMPRSS2:ERG levels are associated with higher baseline risk characteristics, and combining them with PSA improves risk prediction compared to PSA alone. We have begun work on our DNA extraction and aCGH analyses as well, and have collected over 1500 quality of life questionnaires on >500 PASS participants. Two projects focusing on PSA data in PASS have suggested ways of optimizing use of such data in active survellance protocols. We look forward to completing our analyses and reporting results by the end of the final year.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2013
- Accession Number
- ADA590647
Entities
People
- Peter R. Carroll
Organizations
- University of California, San Francisco