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Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy
SIMPLE SUMMARY: Most malignant tumours are highly heterogeneous at molecular and phenotypic levels. Tumour variability poses challenges for the management of patients, as it arises between patients and even evolves in space and time within a single patient. Currently, treatment-decision making usual...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946040/ https://www.ncbi.nlm.nih.gov/pubmed/35326534 http://dx.doi.org/10.3390/cancers14061384 |
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author | Gilson, Pauline Merlin, Jean-Louis Harlé, Alexandre |
author_facet | Gilson, Pauline Merlin, Jean-Louis Harlé, Alexandre |
author_sort | Gilson, Pauline |
collection | PubMed |
description | SIMPLE SUMMARY: Most malignant tumours are highly heterogeneous at molecular and phenotypic levels. Tumour variability poses challenges for the management of patients, as it arises between patients and even evolves in space and time within a single patient. Currently, treatment-decision making usually relies on the molecular characteristics of a limited tumour tissue sample at the time of diagnosis or disease progression but does not take into account the complexity of the bulk tumours and their constant evolution over time. In this review, we explore the extent of tumour heterogeneity and report the mechanisms that promote and sustain this diversity in cancers. We summarise the clinical strikes of tumour diversity in the management of patients with cancer. Finally, we discuss the current material and technological approaches that are relevant to adequately appreciate tumour heterogeneity. ABSTRACT: Human solid malignancies harbour a heterogeneous set of cells with distinct genotypes and phenotypes. This heterogeneity is installed at multiple levels. A biological diversity is commonly observed between tumours from different patients (inter-tumour heterogeneity) and cannot be fully captured by the current consensus molecular classifications for specific cancers. To extend the complexity in cancer, there are substantial differences from cell to cell within an individual tumour (intra-tumour heterogeneity, ITH) and the features of cancer cells evolve in space and time. Currently, treatment-decision making usually relies on the molecular characteristics of a limited tumour tissue sample at the time of diagnosis or disease progression but does not take into account the complexity of the bulk tumours and their constant evolution over time. In this review, we explore the extent of tumour heterogeneity with an emphasis on ITH and report the mechanisms that promote and sustain this diversity in cancers. We summarise the clinical strikes of ITH in the management of patients with cancer. Finally, we discuss the current material and technological approaches that are relevant to adequately appreciate ITH. |
format | Online Article Text |
id | pubmed-8946040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89460402022-03-25 Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy Gilson, Pauline Merlin, Jean-Louis Harlé, Alexandre Cancers (Basel) Review SIMPLE SUMMARY: Most malignant tumours are highly heterogeneous at molecular and phenotypic levels. Tumour variability poses challenges for the management of patients, as it arises between patients and even evolves in space and time within a single patient. Currently, treatment-decision making usually relies on the molecular characteristics of a limited tumour tissue sample at the time of diagnosis or disease progression but does not take into account the complexity of the bulk tumours and their constant evolution over time. In this review, we explore the extent of tumour heterogeneity and report the mechanisms that promote and sustain this diversity in cancers. We summarise the clinical strikes of tumour diversity in the management of patients with cancer. Finally, we discuss the current material and technological approaches that are relevant to adequately appreciate tumour heterogeneity. ABSTRACT: Human solid malignancies harbour a heterogeneous set of cells with distinct genotypes and phenotypes. This heterogeneity is installed at multiple levels. A biological diversity is commonly observed between tumours from different patients (inter-tumour heterogeneity) and cannot be fully captured by the current consensus molecular classifications for specific cancers. To extend the complexity in cancer, there are substantial differences from cell to cell within an individual tumour (intra-tumour heterogeneity, ITH) and the features of cancer cells evolve in space and time. Currently, treatment-decision making usually relies on the molecular characteristics of a limited tumour tissue sample at the time of diagnosis or disease progression but does not take into account the complexity of the bulk tumours and their constant evolution over time. In this review, we explore the extent of tumour heterogeneity with an emphasis on ITH and report the mechanisms that promote and sustain this diversity in cancers. We summarise the clinical strikes of ITH in the management of patients with cancer. Finally, we discuss the current material and technological approaches that are relevant to adequately appreciate ITH. MDPI 2022-03-08 /pmc/articles/PMC8946040/ /pubmed/35326534 http://dx.doi.org/10.3390/cancers14061384 Text en © 2022 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 Gilson, Pauline Merlin, Jean-Louis Harlé, Alexandre Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy |
title | Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy |
title_full | Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy |
title_fullStr | Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy |
title_full_unstemmed | Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy |
title_short | Deciphering Tumour Heterogeneity: From Tissue to Liquid Biopsy |
title_sort | deciphering tumour heterogeneity: from tissue to liquid biopsy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8946040/ https://www.ncbi.nlm.nih.gov/pubmed/35326534 http://dx.doi.org/10.3390/cancers14061384 |
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