Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside
Year: 2021
Type: review
Abstract: Despite impressive efforts invested in epigenetic research in the last 50 years, clinical applications are still lacking. Only a few university hospital centers currently use epigenetic biomarkers at the bedside. Moreover, the overall concept of precision medicine is not widely recognized in routine medical practice and the reductionist approach remains predominant in treating patients affected by major diseases such as cancer and cardiovascular diseases. By its' very nature, epigenetics is integrative of genetic networks. The study of epigenetic biomarkers has led to the identification of numerous drugs with an increasingly significant role in clinical therapy especially of cancer patients. Here, we provide an overview of clinical epigenetics within the context of network analysis. We illustrate achievements to date and discuss how we can move from traditional medicine into the era of network medicine (NM), where pathway-informed molecular diagnostics will allow treatment selection following the paradigm of precision medicine.
Source: Clinical Epigenetics
Authors: Federica Sarno, Giuditta Benincasa, Markus List, Albert-Lazlo Barabasi, Jan Baumbach, Fortunato Ciardiello, Sebastiano Filetti, Kimberly Glass, Joseph Loscalzo, Cinzia Marchese, Bradley A. Maron, Paola Paci, Paolo Parini, Enrico Petrillo, Edwin K. Silverman, Antonella Verrienti, Lucia Altucci, Claudio Napoli
Institutions: University of Campania "Luigi Vanvitelli", Technical University of Munich, Brigham and Women's Hospital, Northeastern University, Harvard University, Central European University - Budapest Campus, Universität Hamburg, University of Southern Denmark, Unitelma Sapienza University, Sapienza University of Rome, Karolinska University Hospital, Karolinska Institutet, Azienda Ospedaliera Universitaria Università degli Studi della Campania Luigi Vanvitelli
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,990
Award: G4983211463
OpenAlex ID: W3150238428