Prostate Cancer Disease Study by Integrating Peptides and Clinical Data

Proteomic based analysis is used to identify biomarkers in blood samples and tissues. Data produced by devices such as Mass Spectrometry (MS), requires platforms aiming to identify and quantify proteins (or peptides). Clinical analysis can also be related with MS data. In this work we focus on integrating clinical and biological data for prostate cancer in order to identify new biomarkers. We relate blood indicator (Prostate Specific Antigen, PSA) and urine samples analysis with MS based tissue analysis results. The focus is on relating tissue samples with neoplastic biomarkers [15]. The contribution proposes also a clinical data tool for tracking data and sample integrated with a tool box for information extraction.

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