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Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside

  • on behalf of the International Network Medicine Consortium
  • University of Campania Luigi Vanvitelli
  • Technical University of Munich
  • Northeastern University
  • Harvard University
  • University of Southern Denmark
  • University of Hamburg
  • Università degli Studi di Roma Unitelma Sapienza
  • University of Rome La Sapienza
  • Karolinska Institutet
  • Brigham and Women’s Hospital

Research output: Contribution to journalReview Articlepeer-review

Abstract (may include machine translation)

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.

Original languageEnglish
Article number66
JournalClinical Epigenetics
Volume13
Issue number1
DOIs
StatePublished - Dec 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Algorithms
  • CVD
  • Cancer
  • Epi-drugs
  • Epigenetics
  • Network medicine
  • Precision medicine

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