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Giuseppe Palmisano

Giuseppe Palmisano

Talk Title:
Glycoproteins: candidate urinary biomarkers in prostate cancer

Biography:
Dr Giuseppe Palmisano is currently a Professor at the Department of Parasitology, University of São Paulo, São Paulo, Brazil. He obtained his Ph.D. degree in mitochondrial physiopathology in 2008 from University of Bari under the supervision of Prof. Sergio Papa and then completed a postdoctoral fellowship at the University of Southern Denmark, Odense, under the supervision of Prof. Martin R. Larsen, developing methods for PTMs analysis in different biological samples. He obtained the Young Investigator Award at HUPO 2011 in Geneva. He has authored 42 papers and serves as reviewer in internationally recognized journals. His current area of research is proteomics applied to cancer biomarkers and parasite infections with a particular focus on regulatory mechanisms of PTMs-mediated cellular signals.

Abstract:

Glycoproteins: candidate urinary biomarkers in prostate cancer
Rebeca Kawahara, Fabio Ortega, Livia Rosa-Fernandes, Micaella Pereira da Fonseca, Vanessa Guimarães, Katia R.M. Leite, Willian Nahas, Miguel Srougi, Martin R. Larsen and Giuseppe Palmisano

GlycoProteomics Laboratory, Institute of Biomedical Sciences, University of Sao Paulo, Brazil
Prostate specific antigen (PSA) test has revolutionized the diagnosis and management of prostate cancer (PCa). PSA is tissue specific but not cancer specific. Indeed, benign prostatic hyperplasia and prostatitis can induce changes in PSA levels and lead to misdiagnosis. Due to that, novel biomarkers for PCa are needed to address the lack of specificity of PSA. Here we describe a comprehensive glycoproteomic approach to identify candidate biomarkers in urine from PCa using multiplex isobaric labelling combined with high resolution MS analysis. 1865 proteins were identified in urine. 954 intact N-glycopeptides and 965 intact O-glycopeptides were quantified in the urine from prostate cancer and control individuals. A panel of differentially regulated glycopeptides was validated by parallel reaction monitoring. This study presents an integrated experimental strategy for urine glycoproteomics with special emphasis in the current computational solutions for large-scale MS/MS spectra interpretation of intact glycopeptides. Moreover, this study highlights the possibility of using glycoproteins as important targets in PCa diagnosis.

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