| Grant number: | 17/03010-8 |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |
| Start date: | July 10, 2017 |
| End date: | July 09, 2018 |
| Field of knowledge: | Biological Sciences - Biochemistry - Chemistry of Macromolecules |
| Principal Investigator: | Giuseppe Palmisano |
| Grantee: | Rebeca Kawahara Sakuma |
| Supervisor: | Morten Thaysen Andersen |
| Host Institution: | Instituto de Ciências Biomédicas (ICB). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
| Institution abroad: | Macquarie University, Australia |
| Associated to the scholarship: | 15/02866-0 - DISCOVERY AND VERIFICATION OF INTACT GLYCOPEPTIDES AS CANDIDATE PROSTATE CANCER BIOMARKERS USING MASS SPECTROMETRY-BASED PROTEOMICS APPROACHES, BP.PD |
Abstract Prostate cancer (PCa) is the second most common cancer in men worldwide. Gleason score classification is the most important predictor of PCa outcomes and is influential in determining patient treatment options. However, tumor heterogeneity, biopsy-sampling error, and variations in biopsy interpretation are still key challenges for accurate prognostication, leading to significant overtreatment, with associated costs and morbidity. Changings in the glycosylation profile as well as in the glycosylation enzymes were previously described to be associated with prostate cancer detection and aggressiveness and we showed that differentially regulated glycopeptides are able to discriminate urines from prostate cancer and benign conditions (ongoing regular FAPESP project, 2015/02866-0). However, no systematic correlation between altered glycosylation pattern and site-specific changes in protein glycosylation in prostate cancer tissues as prognostic predictor was reported. Therefore, following on the previous work on urine glycoproteins, the objective of this project is to associate site-specific N- and O-linked glycosylation changes with Gleason Score classification, as a strategy to discriminate indolent tumor vs aggressive tumor. For that, quantitative mass spectrometry-based glycoproteomics and glycomics strategies will be performed in human fresh tissues, which will be grouped according to low gleason score (d6), intermediate (7) and high (8-10). Specific glycosylation changes that can potentially discriminate the different Gleason Score groups will be evaluated in larger cohort samples using complementary quantitative strategies. | |
| News published in Agência FAPESP Newsletter about the scholarship: | |
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