Underexplored reciprocity between genome-wide methylation status and long non-coding RNA expression reflected in breast cancer research: potential impacts for the disease management in the framework of 3P medicine.
Biomarker panels
Breast cancer
Endothelin-1
Epigenetic modifications
Health policy
Health-to-disease transition
Homocysteine
Improved healthcare economy
Metastatic disease
Methylation
Mitochondria
Non-coding RNAs
Phenotyping
Population screening
Pre/clinical studies
Predictive preventive personalized medicine (PPPM/3PM)
Primary and secondary care
Suboptimal health
lncRNAs
Journal
The EPMA journal
ISSN: 1878-5077
Titre abrégé: EPMA J
Pays: Switzerland
ID NLM: 101517307
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
21
04
2023
accepted:
04
05
2023
medline:
5
6
2023
pubmed:
5
6
2023
entrez:
5
6
2023
Statut:
epublish
Résumé
Breast cancer (BC) is the most common female malignancy reaching a pandemic scale worldwide. A comprehensive interplay between genetic alterations and shifted epigenetic regions synergistically leads to disease development and progression into metastatic BC. DNA and histones methylations, as the most studied epigenetic modifications, represent frequent and early events in the process of carcinogenesis. To this end, long non-coding RNAs (lncRNAs) are recognized as potent epigenetic modulators in pathomechanisms of BC by contributing to the regulation of DNA, RNA, and histones' methylation. In turn, the methylation status of DNA, RNA, and histones can affect the level of lncRNAs expression demonstrating the reciprocity of mechanisms involved. Furthermore, lncRNAs might undergo methylation in response to actual medical conditions such as tumor development and treated malignancies. The reciprocity between genome-wide methylation status and long non-coding RNA expression levels in BC remains largely unexplored. Since the bio/medical research in the area is, per evidence, strongly fragmented, the relevance of this reciprocity for BC development and progression has not yet been systematically analyzed. Contextually, the article aims at:consolidating the accumulated knowledge on both-the genome-wide methylation status and corresponding lncRNA expression patterns in BC andhighlighting the potential benefits of this consolidated multi-professional approach for advanced BC management. Based on a big data analysis and machine learning for individualized data interpretation, the proposed approach demonstrates a great potential to promote predictive diagnostics and targeted prevention in the cost-effective primary healthcare (sub-optimal health conditions and protection against the health-to-disease transition) as well as advanced treatment algorithms tailored to the individualized patient profiles in secondary BC care (effective protection against metastatic disease). Clinically relevant examples are provided, including mitochondrial health control and epigenetic regulatory mechanisms involved.
Identifiants
pubmed: 37275549
doi: 10.1007/s13167-023-00323-7
pii: 323
pmc: PMC10236066
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
249-273Informations de copyright
© The Author(s) 2023.
Déclaration de conflit d'intérêts
Conflict of interestThe authors declare no competing interests.
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