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Toward a systems-level probing of tumor clonality

Cancer has been described as a genetic disease that clonally evolves in the face of selective pressures imposed by cell-intrinsic and extrinsic factors. Although classical models based on genetic data predominantly propose Darwinian mechanisms of cancer evolution, recent single-cell profiling of can...

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Detalles Bibliográficos
Autores principales: Grody, Emanuelle I., Abraham, Ajay, Shukla, Vipul, Goyal, Yogesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182304/
https://www.ncbi.nlm.nih.gov/pubmed/37192968
http://dx.doi.org/10.1016/j.isci.2023.106574
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author Grody, Emanuelle I.
Abraham, Ajay
Shukla, Vipul
Goyal, Yogesh
author_facet Grody, Emanuelle I.
Abraham, Ajay
Shukla, Vipul
Goyal, Yogesh
author_sort Grody, Emanuelle I.
collection PubMed
description Cancer has been described as a genetic disease that clonally evolves in the face of selective pressures imposed by cell-intrinsic and extrinsic factors. Although classical models based on genetic data predominantly propose Darwinian mechanisms of cancer evolution, recent single-cell profiling of cancers has described unprecedented heterogeneity in tumors providing support for alternative models of branched and neutral evolution through both genetic and non-genetic mechanisms. Emerging evidence points to a complex interplay between genetic, non-genetic, and extrinsic environmental factors in shaping the evolution of tumors. In this perspective, we briefly discuss the role of cell-intrinsic and extrinsic factors that shape clonal behaviors during tumor progression, metastasis, and drug resistance. Taking examples of pre-malignant states associated with hematological malignancies and esophageal cancer, we discuss recent paradigms of tumor evolution and prospective approaches to further enhance our understanding of this spatiotemporally regulated process.
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spelling pubmed-101823042023-05-14 Toward a systems-level probing of tumor clonality Grody, Emanuelle I. Abraham, Ajay Shukla, Vipul Goyal, Yogesh iScience Perspective Cancer has been described as a genetic disease that clonally evolves in the face of selective pressures imposed by cell-intrinsic and extrinsic factors. Although classical models based on genetic data predominantly propose Darwinian mechanisms of cancer evolution, recent single-cell profiling of cancers has described unprecedented heterogeneity in tumors providing support for alternative models of branched and neutral evolution through both genetic and non-genetic mechanisms. Emerging evidence points to a complex interplay between genetic, non-genetic, and extrinsic environmental factors in shaping the evolution of tumors. In this perspective, we briefly discuss the role of cell-intrinsic and extrinsic factors that shape clonal behaviors during tumor progression, metastasis, and drug resistance. Taking examples of pre-malignant states associated with hematological malignancies and esophageal cancer, we discuss recent paradigms of tumor evolution and prospective approaches to further enhance our understanding of this spatiotemporally regulated process. Elsevier 2023-04-06 /pmc/articles/PMC10182304/ /pubmed/37192968 http://dx.doi.org/10.1016/j.isci.2023.106574 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Perspective
Grody, Emanuelle I.
Abraham, Ajay
Shukla, Vipul
Goyal, Yogesh
Toward a systems-level probing of tumor clonality
title Toward a systems-level probing of tumor clonality
title_full Toward a systems-level probing of tumor clonality
title_fullStr Toward a systems-level probing of tumor clonality
title_full_unstemmed Toward a systems-level probing of tumor clonality
title_short Toward a systems-level probing of tumor clonality
title_sort toward a systems-level probing of tumor clonality
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182304/
https://www.ncbi.nlm.nih.gov/pubmed/37192968
http://dx.doi.org/10.1016/j.isci.2023.106574
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