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Biomarkers for Prostate and Bladder Cancer

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Liu, Alvin Y.University of Washington
Liu, Alvin Y.University of Washington
CD90, AGR2, CEACAM5
Genomics
Proteomics
Prostate and Urologic Cancers Research Group

CD26+ cancer cells and CD90+ tumor-associated stromal cells were sorted from tumor tissue. Dataset analysis with transcriptomes of CD26+ luminal, CD104+ basal, CD49a+ stromal and CD31+ endothelial was carried out to identify candidates: CD90, AGR2, BCMP11, CEACAM5, CRISP3. Quantitative protomics was applied to measure these proteins in urine samples.

Sort cancer cells from tumor specimens Determine gene expression (transcriptome) by Affymetrix DNA arrays Dataset analysis to identify cancer up-regulated genes encoding secreted or extracellular proteins Proteomic analysis (mass spectrometry, Western blotting) to validate increased cancer expression
Genomics and proteomics. DNA microarray analysis of sorted cell types to identify cancer-specific genes encoding secreted/extracellular proteins. Mass spectrometry-based proteomics to measure protin levels in case vs. control urine samples.
Data analysis was done to evaluate data quality of Affymetrix arrays (mRNA expression correlation to protein expression by immunohistochemistry), to compare other publicly available prostate cancer datasets.

Announcement 6/2/2018
Thank you to everyone to made the 10th EDRN Scientific Workshop a success. The next event is the 33rd EDRN Steering Committee Meeting from September 5-6, 2018 in Boston, MA. Details will be available soon.

Announcement 6/1/2018

Dr. Sudhir Srivastava was honored with the 2017 Human Proteome Organization (HUPO) Award for a Distinguished Scientist in Clinical and Translational Proteomics. Please join us in congratulating him on his accomplishments and contributions. The awards were presented at HUPO 2017 in Dublin, Ireland and the winners were present to provide a small talk during the Awards Ceremony and HUPO Lectures.