Up to date, screening for prostate cancer (PCa) remains one of the most appealing but also a very controversial topics in the urological community. PCa is the second most common cancer in men worldwide and it is universally acknowledged as a complex disease, with a multi-factorial etiology. The pathway of PCa diagnosis has changed dramatically in the last few years, with the multiparametric magnetic resonance (mpMRI) playing a starring role with the introduction of the “MRI Pathway”. In this scenario the basic tenet of network medicine (NM) that sees the disease as perturbation of a network of interconnected molecules and pathways, seems to fit perfectly with the challenges that PCa early detection must face to advance towards a more reliable technique. Integration of tests on body fluids, tissue samples, grading/staging classification, physiological parameters, MR multiparametric imaging and molecular profiling technologies must be integrated in a broader vision of “disease” and its complexity with a focus on early signs. PCa screening research can greatly benefit from NM vision since it provides a sound interpretation of data and a common language, facilitating exchange of ideas between clinicians and data analysts for exploring new research pathways in a rational, highly reliable, and reproducible way.

Prostate cancer screening research can benefit from network medicine: an emerging awareness / Panebianco, Valeria; Pecoraro, Martina; Fiscon, Giulia; Paci, Paola; Farina, Lorenzo; Catalano, Carlo. - In: NPJ SYSTEMS BIOLOGY AND APPLICATIONS. - ISSN 2056-7189. - 6:(2020). [10.1038/s41540-020-0133-0]

Prostate cancer screening research can benefit from network medicine: an emerging awareness

Panebianco, Valeria
Primo
Conceptualization
;
Pecoraro, Martina
Secondo
Writing – Original Draft Preparation
;
Fiscon, Giulia
Writing – Original Draft Preparation
;
Paci, Paola
Writing – Original Draft Preparation
;
Farina, Lorenzo
Penultimo
Conceptualization
;
Catalano, Carlo
Ultimo
Conceptualization
2020

Abstract

Up to date, screening for prostate cancer (PCa) remains one of the most appealing but also a very controversial topics in the urological community. PCa is the second most common cancer in men worldwide and it is universally acknowledged as a complex disease, with a multi-factorial etiology. The pathway of PCa diagnosis has changed dramatically in the last few years, with the multiparametric magnetic resonance (mpMRI) playing a starring role with the introduction of the “MRI Pathway”. In this scenario the basic tenet of network medicine (NM) that sees the disease as perturbation of a network of interconnected molecules and pathways, seems to fit perfectly with the challenges that PCa early detection must face to advance towards a more reliable technique. Integration of tests on body fluids, tissue samples, grading/staging classification, physiological parameters, MR multiparametric imaging and molecular profiling technologies must be integrated in a broader vision of “disease” and its complexity with a focus on early signs. PCa screening research can greatly benefit from NM vision since it provides a sound interpretation of data and a common language, facilitating exchange of ideas between clinicians and data analysts for exploring new research pathways in a rational, highly reliable, and reproducible way.
2020
network medicine; prostate cancer
01 Pubblicazione su rivista::01a Articolo in rivista
Prostate cancer screening research can benefit from network medicine: an emerging awareness / Panebianco, Valeria; Pecoraro, Martina; Fiscon, Giulia; Paci, Paola; Farina, Lorenzo; Catalano, Carlo. - In: NPJ SYSTEMS BIOLOGY AND APPLICATIONS. - ISSN 2056-7189. - 6:(2020). [10.1038/s41540-020-0133-0]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1392413
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