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Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights

The development of cancer begins with cells transitioning from their multicellular nature to a state akin to unicellular organisms. This shift leads to a breakdown in the crucial regulators inherent to multicellularity, resulting in the emergence of diverse cancer cell subpopulations that have enhan...

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Detalles Bibliográficos
Autores principales: Ashouri, Arghavan, Zhang, Chufan, Gaiti, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606072/
https://www.ncbi.nlm.nih.gov/pubmed/37895205
http://dx.doi.org/10.3390/genes14101856
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author Ashouri, Arghavan
Zhang, Chufan
Gaiti, Federico
author_facet Ashouri, Arghavan
Zhang, Chufan
Gaiti, Federico
author_sort Ashouri, Arghavan
collection PubMed
description The development of cancer begins with cells transitioning from their multicellular nature to a state akin to unicellular organisms. This shift leads to a breakdown in the crucial regulators inherent to multicellularity, resulting in the emergence of diverse cancer cell subpopulations that have enhanced adaptability. The presence of different cell subpopulations within a tumour, known as intratumoural heterogeneity (ITH), poses challenges for cancer treatment. In this review, we delve into the dynamics of the shift from multicellularity to unicellularity during cancer onset and progression. We highlight the role of genetic and non-genetic factors, as well as tumour microenvironment, in promoting ITH and cancer evolution. Additionally, we shed light on the latest advancements in omics technologies that allow for in-depth analysis of tumours at the single-cell level and their spatial organization within the tissue. Obtaining such detailed information is crucial for deepening our understanding of the diverse evolutionary paths of cancer, allowing for the development of effective therapies targeting the key drivers of cancer evolution.
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spelling pubmed-106060722023-10-28 Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights Ashouri, Arghavan Zhang, Chufan Gaiti, Federico Genes (Basel) Review The development of cancer begins with cells transitioning from their multicellular nature to a state akin to unicellular organisms. This shift leads to a breakdown in the crucial regulators inherent to multicellularity, resulting in the emergence of diverse cancer cell subpopulations that have enhanced adaptability. The presence of different cell subpopulations within a tumour, known as intratumoural heterogeneity (ITH), poses challenges for cancer treatment. In this review, we delve into the dynamics of the shift from multicellularity to unicellularity during cancer onset and progression. We highlight the role of genetic and non-genetic factors, as well as tumour microenvironment, in promoting ITH and cancer evolution. Additionally, we shed light on the latest advancements in omics technologies that allow for in-depth analysis of tumours at the single-cell level and their spatial organization within the tissue. Obtaining such detailed information is crucial for deepening our understanding of the diverse evolutionary paths of cancer, allowing for the development of effective therapies targeting the key drivers of cancer evolution. MDPI 2023-09-24 /pmc/articles/PMC10606072/ /pubmed/37895205 http://dx.doi.org/10.3390/genes14101856 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ashouri, Arghavan
Zhang, Chufan
Gaiti, Federico
Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights
title Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights
title_full Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights
title_fullStr Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights
title_full_unstemmed Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights
title_short Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights
title_sort decoding cancer evolution: integrating genetic and non-genetic insights
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606072/
https://www.ncbi.nlm.nih.gov/pubmed/37895205
http://dx.doi.org/10.3390/genes14101856
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