Phenotypic maps for precision medicine: a promising systems biology tool for assessing therapy response and resistance at a personalized level.
computational biology
multi-omics
personalized medicine
phenotypic maps
systems biology
therapy resistance
tumor heterogeneity
Journal
Frontiers in network physiology
ISSN: 2674-0109
Titre abrégé: Front Netw Physiol
Pays: Switzerland
ID NLM: 9918334487406676
Informations de publication
Date de publication:
2023
2023
Historique:
received:
10
07
2023
accepted:
28
09
2023
medline:
15
11
2023
pubmed:
15
11
2023
entrez:
15
11
2023
Statut:
epublish
Résumé
In this perspective we discuss how tumor heterogeneity and therapy resistance necessitate a focus on more personalized approaches, prompting a shift toward precision medicine. At the heart of the shift towards personalized medicine, omics-driven systems biology becomes a driving force as it leverages high-throughput technologies and novel bioinformatics tools. These enable the creation of systems-based maps, providing a comprehensive view of individual tumor's functional plasticity. We highlight the innovative PHENOSTAMP program, which leverages high-dimensional data to construct a visually intuitive and user-friendly map. This map was created to encapsulate complex transitional states in cancer cells, such as Epithelial-Mesenchymal Transition (EMT) and Mesenchymal-Epithelial Transition (MET), offering a visually intuitive way to understand disease progression and therapeutic responses at single-cell resolution in relation to EMT-related single-cell phenotypes. Most importantly, PHENOSTAMP functions as a reference map, which allows researchers and clinicians to assess one clinical specimen at a time in relation to their phenotypic heterogeneity, setting the foundation on constructing phenotypic maps for personalized medicine. This perspective argues that such dynamic predictive maps could also catalyze the development of personalized cancer treatment. They hold the potential to transform our understanding of cancer biology, providing a foundation for a future where therapy is tailored to each patient's unique molecular and cellular tumor profile. As our knowledge of cancer expands, these maps can be continually refined, ensuring they remain a valuable tool in precision oncology.
Identifiants
pubmed: 37964768
doi: 10.3389/fnetp.2023.1256104
pii: 1256104
pmc: PMC10642209
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1256104Informations de copyright
Copyright © 2023 Bhattacharyya, Ehsan and Karacosta.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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