Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1785127227578384384 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10606072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ashouriarghavan decodingcancerevolutionintegratinggeneticandnongeneticinsights AT zhangchufan decodingcancerevolutionintegratinggeneticandnongeneticinsights AT gaitifederico decodingcancerevolutionintegratinggeneticandnongeneticinsights |