TY - JOUR
T1 - Urinary proteomic profiles of prostate cancer with different risk of progression and correlation with histopathological features
AU - Bergamini, Stefania
AU - Caramaschi, Stefania
AU - Monari, Emanuela
AU - Martorana, Eugenio
AU - Salviato, Tiziana
AU - Mangogna, Alessandro
AU - Balduit, Andrea
AU - Tomasi, Aldo
AU - Canu, Pina
AU - Bellei, Elisa
N1 - Funding Information:
We thank Dr. Diego Pinetti and Dr. Filippo Genovese, technicians of CIGSS (University of Modena and Reggio Emilia, Italy) for their assistance during ESI-Q-Tof/MS analysis, and we thank Prof. Luca Reggiani Bonetti (University of Modena and Reggio Emilia, Italy) for the histopathological diagnosis.
Publisher Copyright:
© 2021 Elsevier Inc.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - Prostate cancer (PCa) is the most common tumor in men with extremely variable outcome, varying from latent or indolent form to very aggressive behavior. High grade tumors, expansions exceeding the prostatic capsule into the surrounding soft tissues and spreading through lymph vascular channels, represent the most consistent unfavorable prognostic factors. However, accuracy in the prediction of the disease progression is sometimes difficult. Along with new molecular diagnostic techniques and more accurate histopathological approaches, proteomic studies challenge to identify potential biomarkers predictive of PCa progression. In our study we analyzed the urinary proteomes of 42 patients affected by PCa through two-dimensional electrophoresis associated with mass spectrometry. Proteomic profiles were correlated to histopathological features including pTNM stage and tumor differentiation in order to provide new promising markers able to define more accurately the PCa aggressiveness and driving new therapeutic approaches.
AB - Prostate cancer (PCa) is the most common tumor in men with extremely variable outcome, varying from latent or indolent form to very aggressive behavior. High grade tumors, expansions exceeding the prostatic capsule into the surrounding soft tissues and spreading through lymph vascular channels, represent the most consistent unfavorable prognostic factors. However, accuracy in the prediction of the disease progression is sometimes difficult. Along with new molecular diagnostic techniques and more accurate histopathological approaches, proteomic studies challenge to identify potential biomarkers predictive of PCa progression. In our study we analyzed the urinary proteomes of 42 patients affected by PCa through two-dimensional electrophoresis associated with mass spectrometry. Proteomic profiles were correlated to histopathological features including pTNM stage and tumor differentiation in order to provide new promising markers able to define more accurately the PCa aggressiveness and driving new therapeutic approaches.
KW - Adenocarcinoma
KW - Histopathology
KW - Prostate cancer
KW - Proteomics
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U2 - 10.1016/j.anndiagpath.2021.151704
DO - 10.1016/j.anndiagpath.2021.151704
M3 - Article
AN - SCOPUS:85099483035
SN - 1092-9134
VL - 51
JO - Annals of Diagnostic Pathology
JF - Annals of Diagnostic Pathology
M1 - 151704
ER -