Abbreviated Name

Prostate & Bladder Cancer Biomarkers

Lead Investigator

Liu, Alvin Y. — University of Washington

Coordinating Investigator

Liu, Alvin Y. — University of Washington

Involved Investigators

• Liu, Alvin Y. — University of Washington

Abstact

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.

Aims

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

Analytic Method

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.

Comments

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.

Biomarkers

• AGR2
• CA19-9
• CEACAM5
• THY1

Data Collections

• EDRN Prostate Data University of Washington
• nanoString multi-marker RNA digital counts
• Transcriptomes of human bladder cells and cells in bladder cancer
• University of Washington Microarray Data

Protocol ID

114

Protocol Type

Single

Field of Research

Genomics

Collaborative Group

Prostate and Urologic Cancers Research Group

Cancer Types

• Malignant neoplasm of prostate