1. Biochemical network analysis of protein-protein interactions to follow-up T1 bladder cancer patients
- Author
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Luís B. Carvalho, José Luis Capelo Martínez, Carlos Lodeiro, Rafael Bento, Rajiv Dhir, Jeremiah J. Morrissey, Luis Campos Pinheiro, Mariana Medeiros, Hugo M. Santos, DQ - Departamento de Química, LAQV@REQUIMTE, and NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
- Subjects
Mass spectrometry ,SDG 3 - Good Health and Well-being ,Bladder cancer ,Urine proteomics ,Biophysics ,Cubilin (CUBN) ,Biochemistry ,Neutrophil extracellular traps, myeloperoxidase (MPO) - Abstract
PM003/2016). LBC, JLC, CL, RB, and HMS acknowledge the funding provided by the Associate Laboratory for Green Chemistry LAQV which is financed by national funds from FCT/MCTES, Fundação para a Ciência e Tecnologia and Ministério da Ciência, Tecnologia e Ensino Superior, through the projects UIDB/50006/2020 and UIDP/50006/2020. HMS acknowledges the Associate Laboratory for Green Chemistry-LAQV (LA/P/0008/2020) funded by FCT/MCTES for his research contract. LBC thanks the FCT/MCTES for his Ph.D. grant (SFRH/BD/144222/2019). The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE [30] partner repository with the data set number PXD026784. Publisher Copyright: © 2023 The Authors Bladder cancer (BCa) is a prevalent disease with a high risk of aggressive recurrence in T1-stage patients. Despite the efforts to anticipate recurrence, a reliable method has yet to be developed. In this work, we employed high-resolution mass spectrometry to compare the urinary proteome of T1-stage BCa patients with recurring versus non-recurring disease to uncover actionable clinical information predicting recurrence. All patients were diagnosed with T1-stage bladder cancer between the ages of 51 and 91, and urine samples were collected before medical intervention. Our results suggest that the urinary myeloperoxidase to cubilin ratio could be used as a new tool for predicting recurrence and that dysregulation of the inflammatory and immune systems may be a key driver of disease worsening. Furthermore, we identified neutrophil degranulation and neutrophil extracellular traps (NETs) as key pathways in the progression of T1-stage BCa. We propose that proteomics follow-up of the inflammatory and immune systems may be useful for monitoring the effectiveness of therapy. Significance: This article describes how proteomics can be used to characterize tumor aggressiveness in patients with the same diagnosis of bladder cancer (BCa). LC-MS/MS in combination with label free quantification (LFQ) were used to explore potential protein and pathway level changes related to the aggressiveness of the disease in 13 and 17 recurring and non-recurring T1 stage BCa patients. We have shown that the MPO/CUBN protein ratio is a candidate for a urine prognosis tool in BCa. Furthermore, we identify dysregulation of inflammation process as a driver for BCa recurrence and progression. Moreover, we propose using proteomics to track the effectiveness of therapy in the inflammatory and immune systems. publishersversion published
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- 2023