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Prostate cancer screening research can benefit from network medicine: an emerging awareness
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 path...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206063/ https://www.ncbi.nlm.nih.gov/pubmed/32382028 http://dx.doi.org/10.1038/s41540-020-0133-0 |
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author | Panebianco, Valeria Pecoraro, Martina Fiscon, Giulia Paci, Paola Farina, Lorenzo Catalano, Carlo |
author_facet | Panebianco, Valeria Pecoraro, Martina Fiscon, Giulia Paci, Paola Farina, Lorenzo Catalano, Carlo |
author_sort | Panebianco, Valeria |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7206063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72060632020-05-14 Prostate cancer screening research can benefit from network medicine: an emerging awareness Panebianco, Valeria Pecoraro, Martina Fiscon, Giulia Paci, Paola Farina, Lorenzo Catalano, Carlo NPJ Syst Biol Appl Perspective 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. Nature Publishing Group UK 2020-05-07 /pmc/articles/PMC7206063/ /pubmed/32382028 http://dx.doi.org/10.1038/s41540-020-0133-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Perspective Panebianco, Valeria Pecoraro, Martina Fiscon, Giulia Paci, Paola Farina, Lorenzo Catalano, Carlo Prostate cancer screening research can benefit from network medicine: an emerging awareness |
title | Prostate cancer screening research can benefit from network medicine: an emerging awareness |
title_full | Prostate cancer screening research can benefit from network medicine: an emerging awareness |
title_fullStr | Prostate cancer screening research can benefit from network medicine: an emerging awareness |
title_full_unstemmed | Prostate cancer screening research can benefit from network medicine: an emerging awareness |
title_short | Prostate cancer screening research can benefit from network medicine: an emerging awareness |
title_sort | prostate cancer screening research can benefit from network medicine: an emerging awareness |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206063/ https://www.ncbi.nlm.nih.gov/pubmed/32382028 http://dx.doi.org/10.1038/s41540-020-0133-0 |
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