Intra-tumour heterogeneity : going beyond genetics

© 2016 Federation of European Biochemical Societies Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy-resistant escape variants is fuelled by intra-tumour heterogeneity, underpinned by interference and Darwinian evolution among cont...

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Published inThe FEBS journal Vol. 283; no. 12; pp. 2245 - 2258
Main Authors Caiado, Francisco, Silva-Santos, Bruno, Norell, Haakan
Format Journal Article
LanguageEnglish
Published England John Wiley & Sons, Inc 01.06.2016
Blackwell Publishing Ltd
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Abstract © 2016 Federation of European Biochemical Societies Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy-resistant escape variants is fuelled by intra-tumour heterogeneity, underpinned by interference and Darwinian evolution among continuously developing sub-clones in the mutating tumour. Novel cancer cell variants build upon the pre-existing genetic landscape and tumour heterogeneity is often ascribed largely to genetic variability. While mutations are required for cancer development and studies of genetic evolution of tumours have improved our understanding of cancer biology, genetics only represents one dimension of the fitness of each cancer cell. Beyond the mutations, several non-genetic factors also add significant variability, resulting in a complex and highly dynamic tumour cell population that can drive disease under almost any condition. This viewpoint article summarizes the genetic basis of intra-tumour heterogeneity, before dissecting four major interdependent non-genetic factors we think critically contribute to the overall variability of tumour cells in all types of cancer: epigenetic regulation, cellular differentiation hierarchies, gene expression stochasticity and tumour microenvironment. We finally present the relevant technological approaches to address the combined contribution of both genetic and non-genetic factors to intra-tumour heterogeneity, focusing on genomic profiling, cellular lineage tracing and single-cell RNA sequencing technologies. This strategy will ultimately allow dissection of the full range and depth of intra-tumour heterogeneity. We thus believe that understanding how cancer genetics synergize with the emerging non-genetic factors will be key for development of therapies able to tackle tumour escape and thereby improve cancer patient survival. Our work was funded by Associação Portuguesa Contra a Leucemia (APCL-SEMAPA 2014 to HN) and Fundação para a Ciência e Tecnologia (FCT) through individual fellowships (SFRH/BPD/91344/2012 to FC; SFRH/BCC/105888/2014 and SFRH/BPD/112968/2015 to HN) and a FCT research grant (EXPL/BIM-ONC/1656/2013 to HN).
AbstractList Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy-resistant escape variants is fuelled by intra-tumour heterogeneity, underpinned by interference and Darwinian evolution among continuously developing sub-clones in the mutating tumour. Novel cancer cell variants build upon the pre-existing genetic landscape and tumour heterogeneity is often ascribed largely to genetic variability. While mutations are required for cancer development and studies of genetic evolution of tumours have improved our understanding of cancer biology, genetics only represents one dimension of the fitness of each cancer cell. Beyond the mutations, several non-genetic factors also add significant variability, resulting in a complex and highly dynamic tumour cell population that can drive disease under almost any condition. This viewpoint article summarizes the genetic basis of intra-tumour heterogeneity, before dissecting four major interdependent non-genetic factors we think critically contribute to the overall variability of tumour cells in all types of cancer: epigenetic regulation, cellular differentiation hierarchies, gene expression stochasticity and tumour microenvironment. We finally present the relevant technological approaches to address the combined contribution of both genetic and non-genetic factors to intra-tumour heterogeneity, focusing on genomic profiling, cellular lineage tracing and single-cell RNA sequencing technologies. This strategy will ultimately allow dissection of the full range and depth of intra-tumour heterogeneity. We thus believe that understanding how cancer genetics synergize with the emerging non-genetic factors will be key for development of therapies able to tackle tumour escape and thereby improve cancer patient survival. Intra-tumour heterogeneity contributes to cancer therapy failure and is ascribed largely to genetic variability between sub-clones. We discuss the impact of key non-genetic factors that also underpin intra-tumour heterogeneity and the technological approaches employed to dissect them. The combined study of both genetic and non-genetic factors that collectively diversify cancer cell populations represents an important frontier to achieve curative treatments.
Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy‐resistant escape variants is fuelled by intra‐tumour heterogeneity, underpinned by interference and Darwinian evolution among continuously developing sub‐clones in the mutating tumour. Novel cancer cell variants build upon the pre‐existing genetic landscape and tumour heterogeneity is often ascribed largely to genetic variability. While mutations are required for cancer development and studies of genetic evolution of tumours have improved our understanding of cancer biology, genetics only represents one dimension of the fitness of each cancer cell. Beyond the mutations, several non‐genetic factors also add significant variability, resulting in a complex and highly dynamic tumour cell population that can drive disease under almost any condition. This viewpoint article summarizes the genetic basis of intra‐tumour heterogeneity, before dissecting four major interdependent non‐genetic factors we think critically contribute to the overall variability of tumour cells in all types of cancer: epigenetic regulation, cellular differentiation hierarchies, gene expression stochasticity and tumour microenvironment. We finally present the relevant technological approaches to address the combined contribution of both genetic and non‐genetic factors to intra‐tumour heterogeneity, focusing on genomic profiling, cellular lineage tracing and single‐cell RNA sequencing technologies. This strategy will ultimately allow dissection of the full range and depth of intra‐tumour heterogeneity. We thus believe that understanding how cancer genetics synergize with the emerging non‐genetic factors will be key for development of therapies able to tackle tumour escape and thereby improve cancer patient survival.
© 2016 Federation of European Biochemical Societies Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy-resistant escape variants is fuelled by intra-tumour heterogeneity, underpinned by interference and Darwinian evolution among continuously developing sub-clones in the mutating tumour. Novel cancer cell variants build upon the pre-existing genetic landscape and tumour heterogeneity is often ascribed largely to genetic variability. While mutations are required for cancer development and studies of genetic evolution of tumours have improved our understanding of cancer biology, genetics only represents one dimension of the fitness of each cancer cell. Beyond the mutations, several non-genetic factors also add significant variability, resulting in a complex and highly dynamic tumour cell population that can drive disease under almost any condition. This viewpoint article summarizes the genetic basis of intra-tumour heterogeneity, before dissecting four major interdependent non-genetic factors we think critically contribute to the overall variability of tumour cells in all types of cancer: epigenetic regulation, cellular differentiation hierarchies, gene expression stochasticity and tumour microenvironment. We finally present the relevant technological approaches to address the combined contribution of both genetic and non-genetic factors to intra-tumour heterogeneity, focusing on genomic profiling, cellular lineage tracing and single-cell RNA sequencing technologies. This strategy will ultimately allow dissection of the full range and depth of intra-tumour heterogeneity. We thus believe that understanding how cancer genetics synergize with the emerging non-genetic factors will be key for development of therapies able to tackle tumour escape and thereby improve cancer patient survival. Our work was funded by Associação Portuguesa Contra a Leucemia (APCL-SEMAPA 2014 to HN) and Fundação para a Ciência e Tecnologia (FCT) through individual fellowships (SFRH/BPD/91344/2012 to FC; SFRH/BCC/105888/2014 and SFRH/BPD/112968/2015 to HN) and a FCT research grant (EXPL/BIM-ONC/1656/2013 to HN).
Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy-resistant escape variants is fuelled by intra-tumour heterogeneity, underpinned by interference and Darwinian evolution among continuously developing sub-clones in the mutating tumour. Novel cancer cell variants build upon the pre-existing genetic landscape and tumour heterogeneity is often ascribed largely to genetic variability. While mutations are required for cancer development and studies of genetic evolution of tumours have improved our understanding of cancer biology, genetics only represents one dimension of the fitness of each cancer cell. Beyond the mutations, several non-genetic factors also add significant variability, resulting in a complex and highly dynamic tumour cell population that can drive disease under almost any condition. This viewpoint article summarizes the genetic basis of intra-tumour heterogeneity, before dissecting four major interdependent non-genetic factors we think critically contribute to the overall variability of tumour cells in all types of cancer: epigenetic regulation, cellular differentiation hierarchies, gene expression stochasticity and tumour microenvironment. We finally present the relevant technological approaches to address the combined contribution of both genetic and non-genetic factors to intra-tumour heterogeneity, focusing on genomic profiling, cellular lineage tracing and single-cell RNA sequencing technologies. This strategy will ultimately allow dissection of the full range and depth of intra-tumour heterogeneity. We thus believe that understanding how cancer genetics synergize with the emerging non-genetic factors will be key for development of therapies able to tackle tumour escape and thereby improve cancer patient survival.
Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy‐resistant escape variants is fuelled by intra‐tumour heterogeneity, underpinned by interference and Darwinian evolution among continuously developing sub‐clones in the mutating tumour. Novel cancer cell variants build upon the pre‐existing genetic landscape and tumour heterogeneity is often ascribed largely to genetic variability. While mutations are required for cancer development and studies of genetic evolution of tumours have improved our understanding of cancer biology, genetics only represents one dimension of the fitness of each cancer cell. Beyond the mutations, several non‐genetic factors also add significant variability, resulting in a complex and highly dynamic tumour cell population that can drive disease under almost any condition. This viewpoint article summarizes the genetic basis of intra‐tumour heterogeneity, before dissecting four major interdependent non‐genetic factors we think critically contribute to the overall variability of tumour cells in all types of cancer: epigenetic regulation, cellular differentiation hierarchies, gene expression stochasticity and tumour microenvironment. We finally present the relevant technological approaches to address the combined contribution of both genetic and non‐genetic factors to intra‐tumour heterogeneity, focusing on genomic profiling, cellular lineage tracing and single‐cell RNA sequencing technologies. This strategy will ultimately allow dissection of the full range and depth of intra‐tumour heterogeneity. We thus believe that understanding how cancer genetics synergize with the emerging non‐genetic factors will be key for development of therapies able to tackle tumour escape and thereby improve cancer patient survival. Intra‐tumour heterogeneity contributes to cancer therapy failure and is ascribed largely to genetic variability between sub‐clones. We discuss the impact of key non‐genetic factors that also underpin intra‐tumour heterogeneity and the technological approaches employed to dissect them. The combined study of both genetic and non‐genetic factors that collectively diversify cancer cell populations represents an important frontier to achieve curative treatments.
Author Norell, Haakan
Caiado, Francisco
Silva-Santos, Bruno
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/26945550$$D View this record in MEDLINE/PubMed
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Issue 12
Keywords cancer mutation
single-cell transcriptomics
clonal evolution
leukaemia initiating cells
next-generation sequencing
non-genetic variability
sub-clone
cancer stem cells
lineage tracing
population dynamics
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Blackwell Publishing Ltd
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– name: Blackwell Publishing Ltd
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Snippet © 2016 Federation of European Biochemical Societies Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence...
Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy‐resistant escape variants is fuelled by...
Cancer patients die primarily due to disease recurrence after transient treatment responses. The emergence of therapy-resistant escape variants is fuelled by...
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StartPage 2245
SubjectTerms Cancer
Cancer mutation
Cancer stem cells
Cell Lineage - genetics
Clonal evolution
Epigenesis, Genetic
Evolution & development
Evolution, Molecular
Gene expression
Gene Expression Regulation, Neoplastic
Genetic Fitness
Genetic Heterogeneity
Genetics
Humans
Leukaemia initiating cells
Lineage tracing
Mutation
Neoplasms - genetics
Neoplasms - pathology
next‐generation sequencing
non‐genetic variability
Population dynamics
single‐cell transcriptomics
sub‐clone
Tumor Microenvironment - genetics
Title Intra-tumour heterogeneity : going beyond genetics
URI http://hdl.handle.net/10451/48177
https://onlinelibrary.wiley.com/doi/abs/10.1111%2Ffebs.13705
https://www.ncbi.nlm.nih.gov/pubmed/26945550
https://www.proquest.com/docview/1799573280
https://search.proquest.com/docview/1798723557
https://search.proquest.com/docview/1808612893
Volume 283
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