18.222.98.91=18.2
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=33785068&retmode=xml&tool=pubfacts&email=info@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b490818.222.98.91=18.2
https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=clinical+epigenetics&datetype=edat&usehistory=y&retmax=5&tool=pubfacts&email=info@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908 Clinical epigenetics settings for cancer and cardiovascular diseases: real-life applications of network medicine at the bedside. | LitMetric

AI Article Synopsis

  • Despite significant advances in epigenetic research over the past five decades, most clinical applications remain limited, with only a few hospitals utilizing epigenetic biomarkers for patient care.
  • The concept of precision medicine, which tailors treatment based on individual genetic and epigenetic profiles, is not widely adopted in everyday medical practices, as many still rely on a more traditional, reductionist approach.
  • The paper highlights the progress in understanding epigenetic biomarkers and emphasizes the need to shift towards network medicine, where molecular diagnostics can inform more personalized treatment strategies, particularly for diseases like cancer.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010949PMC
http://dx.doi.org/10.1186/s13148-021-01047-zDOI Listing

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