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Identification of OSCC signatures via multiplexed quantitative proteomics and post-translational modification profiling in high-purity plasma and saliva extracellular vesicles

Grant number: 20/05046-2
Support type:Scholarships abroad - Research Internship - Post-doctor
Effective date (Start): March 12, 2021
Effective date (End): March 11, 2022
Field of knowledge:Health Sciences - Medicine
Principal researcher:Adriana Franco Paes Leme
Grantee:Leandro Xavier Neves
Supervisor abroad: Claire e Eyers
Home Institution: Centro Nacional de Pesquisa em Energia e Materiais (CNPEM). Ministério da Ciência, Tecnologia, Inovações e Comunicações (Brasil). Campinas , SP, Brazil
Research place: University of Liverpool, England  
Associated to the scholarship:18/11958-4 - Proteomic Analysis of Extracellular Vesicles from Saliva and Plasma of Patients with Squamous Cells Carcinoma and the Study of Post-Translational Modifications and Identification of Disease Markers, BP.PD

Abstract

Extracellular vesicles (EVs) are key players in cancer progression and metastasis by inducing changes in the tumour-microenvironment, extracellular matrix and pre-metastatic niches towards favourable sites for tumour growth and spread. Lymph node metastasis is the main prognostic factor in patients with oral squamous cell carcinoma (OSCC) and can decrease the 5-year survival rates to less than 50%, but no molecular markers are currently available. In this context, the current FAPESP post-doctorate project (2018/11958-4) proposed the application of proteomics and peptidomics to characterised EV cargo and identify potential markers of OSCC progression and lymph node metastasis. During the first year of the main project we developed a complete pipeline for peptidomic and proteomic analyses of patients' saliva (manuscript in preparation). We successfully pinpointed potential prognostic signatures via peptidomics, and this data combined with bottom-up (peptide-based) proteomics provided a multi-layered understanding of OSCC progression. However, compared to whole saliva, proteomics and peptidomics analyses of EVs is more challenging due to its intrinsic low protein yield, even with optimised conditions for maximal EV recovery. Therefore, a successful molecular characterisation demands refined experimental design and sensitive instrumentation to achieve adequate EV proteome/peptidome coverage and reliable quantification. We propose this internship (BEPE) project to deploy TMT-based quantification for multiplexed sensitive LC-MS analysis of patient's saliva and plasma EVs (healthy, n=20, OSCC with, n=20, and without lymph node metastasis, n=20). This will enable the acquisition of high-quality quantitative data for assessment of group differences and profiling of protein post-translational modifications (PTMs) from EV cargo. By increasing the sensitivity of analyses, supplementing quantitative peptidomics data with information about PTMs, we will be in a unique position to uncover potential signatures for verification in phase 2 of the main project to be carried out in Brazil on a separate cohort of patients.