Biomarkers for Prostate and Bladder Cancer
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CD90, AGR2, CEACAM5
Case/control
Proteomics
Genomics
Genomics
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.
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.
There are currently no biomarkers annotated for this protocol.
