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 in | The FEBS journal Vol. 283; no. 12; pp. 2245 - 2258 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley & Sons, Inc
01.06.2016
Blackwell Publishing Ltd |
Subjects | |
Online Access | Get full text |
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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). |
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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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Cites_doi | 10.1126/science.1235122 10.1038/nm0797-730 10.1016/j.stem.2014.02.006 10.1038/nrg3554 10.1002/emmm.201100209 10.1016/j.ccell.2015.07.012 10.1111/eva.12017 10.1038/nature12344 10.1038/ncomms6871 10.1038/nature10825 10.1016/j.cell.2011.07.026 10.1038/ncomms6901 10.1038/nature09515 10.1038/nature09650 10.1890/10-1245.1 10.1016/j.ccr.2011.08.025 10.1038/nature08781 10.1038/nm.3841 10.1126/scitranslmed.aaa0763 10.1093/jnci/32.6.1201 10.1084/jem.20110105 10.1038/nature10762 10.1038/nature09733 10.1016/j.stem.2011.08.010 10.1371/journal.pbio.1001490 10.1038/nature08489 10.1038/35035005 10.1038/nrmicro1557 10.1038/nature10738 10.1038/nrc3130 10.1016/j.ejca.2013.02.021 10.1038/nmeth.2694 10.1038/nature13556 10.1016/j.ygeno.2014.09.005 10.2105/AJPH.2005.078436 10.1016/j.cell.2015.10.039 10.1016/j.canlet.2012.12.028 10.1038/nature07485 10.1126/science.1216379 10.1016/j.exphem.2014.05.003 10.1038/nature09460 10.1186/gb-2014-15-5-r75 10.1371/journal.pgen.1003972 10.1038/ng1768 10.1038/ng.2891 10.1038/nm.2415 10.1038/nm.3518 10.1146/annurev-pathol-020712-163923 10.1016/j.molcel.2015.05.019 10.1158/1078-0432.CCR-09-2446 10.1534/genetics.106.067678 10.1126/science.1227670 10.1126/science.1160165 10.1101/gad.180331.111 10.1016/j.cell.2013.01.019 10.1126/science.1254257 10.1126/science.959840 10.1056/NEJMoa1113205 10.1016/j.cell.2010.02.027 10.1016/j.stem.2015.05.009 10.1038/nm.3984 10.1126/science.176.4041.1340 10.1016/j.ccell.2014.10.012 10.1073/pnas.1208715109 10.1534/genetics.112.147157 10.1073/pnas.0712345105 10.1056/NEJMoa021967 10.1101/gr.099622.109 10.1073/pnas.1320565110 10.1002/1097-0142(197803)41:3<907::AID-CNCR2820410318>3.0.CO;2-V 10.1016/j.molcel.2014.05.015 10.1038/nm.3522 10.1016/j.ccr.2012.02.022 10.1038/nature09807 10.1371/journal.pgen.1004462 10.1016/j.gde.2013.12.004 10.1016/j.celrep.2014.06.053 10.1200/JCO.2013.50.7921 10.1038/nature15395 10.1158/2159-8290.CD-13-0349 10.1126/science.1064088 10.1038/nature06293 10.1126/science.aab0917 |
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References | 2012; 481 2012; 482 2010; 16 2012; 366 1980; 40 2006; 38 2010; 467 2014; 26 2010; 463 2011; 11 2010; 141 2014; 24 1978; 38 2008; 105 2015; 349 2011; 17 2013; 8 1981; 41 1997; 3 1972; 176 2013; 6 2013; 9 2014; 20 2011; 472 2000; 407 2010; 20 2001; 294 2011; 208 2014; 5 2013; 14 2014; 4 1976; 194 2013; 11 2007; 176 2007; 450 1964; 32 2011; 20 2014; 15 2014; 14 2002; 347 2013; 152 2007; 5 2013; 110 2011; 25 2014; 8 2012; 336 2013; 193 2012; 21 2014; 11 2014; 10 2014; 54 2014; 514 2015; 163 2015; 58 2006; 96 2015; 6 2015; 16 2013; 49 2013; 500 2014; 46 2015; 526 2013; 340 2008; 322 1953; 13 2015; 7 2012; 109 2014; 42 2011; 9 2011; 146 2015; 28 2011; 469 2013; 339 1978; 41 2011; 92 2013; 31 2015; 22 2015; 21 1972; 32 2008; 456 2009; 461 2012; 4 2014; 104 2014; 344 e_1_2_13_24_1 e_1_2_13_49_1 e_1_2_13_26_1 e_1_2_13_47_1 e_1_2_13_68_1 e_1_2_13_20_1 e_1_2_13_45_1 e_1_2_13_66_1 e_1_2_13_87_1 Makino S (e_1_2_13_12_1) 1953; 13 e_1_2_13_22_1 e_1_2_13_43_1 e_1_2_13_64_1 e_1_2_13_85_1 e_1_2_13_41_1 e_1_2_13_62_1 e_1_2_13_60_1 e_1_2_13_83_1 e_1_2_13_81_1 e_1_2_13_90_1 e_1_2_13_17_1 Poste G (e_1_2_13_5_1) 1980; 40 e_1_2_13_19_1 e_1_2_13_13_1 e_1_2_13_36_1 e_1_2_13_59_1 e_1_2_13_15_1 e_1_2_13_38_1 e_1_2_13_57_1 e_1_2_13_32_1 e_1_2_13_55_1 e_1_2_13_78_1 Dexter DL (e_1_2_13_3_1) 1978; 38 e_1_2_13_34_1 e_1_2_13_53_1 e_1_2_13_76_1 e_1_2_13_51_1 e_1_2_13_74_1 e_1_2_13_30_1 e_1_2_13_72_1 e_1_2_13_70_1 e_1_2_13_4_1 e_1_2_13_2_1 e_1_2_13_88_1 e_1_2_13_29_1 e_1_2_13_25_1 e_1_2_13_48_1 e_1_2_13_27_1 e_1_2_13_46_1 e_1_2_13_69_1 e_1_2_13_21_1 e_1_2_13_44_1 e_1_2_13_67_1 Shapiro JR (e_1_2_13_8_1) 1981; 41 e_1_2_13_23_1 e_1_2_13_42_1 e_1_2_13_65_1 e_1_2_13_86_1 e_1_2_13_40_1 e_1_2_13_63_1 e_1_2_13_84_1 e_1_2_13_7_1 e_1_2_13_61_1 e_1_2_13_82_1 e_1_2_13_80_1 Danielson KG (e_1_2_13_9_1) 1980; 40 e_1_2_13_91_1 Raz A (e_1_2_13_6_1) 1980; 40 e_1_2_13_18_1 e_1_2_13_39_1 e_1_2_13_14_1 e_1_2_13_35_1 e_1_2_13_16_1 e_1_2_13_37_1 e_1_2_13_58_1 e_1_2_13_79_1 e_1_2_13_10_1 e_1_2_13_31_1 e_1_2_13_56_1 e_1_2_13_77_1 Barranco SC (e_1_2_13_11_1) 1972; 32 e_1_2_13_33_1 e_1_2_13_54_1 e_1_2_13_75_1 e_1_2_13_52_1 e_1_2_13_73_1 e_1_2_13_50_1 e_1_2_13_71_1 e_1_2_13_89_1 e_1_2_13_28_1 |
References_xml | – volume: 461 start-page: 809 year: 2009 end-page: 813 article-title: Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution publication-title: Nature – volume: 92 start-page: 1573 year: 2011 end-page: 1581 article-title: Functional and phylogenetic diversity as predictors of biodiversity–ecosystem‐function relationships publication-title: Ecology – volume: 481 start-page: 506 year: 2012 end-page: 510 article-title: Clonal evolution in relapsed acute myeloid leukaemia revealed by whole‐genome sequencing publication-title: Nature – volume: 208 start-page: 653 year: 2011 end-page: 661 article-title: Clonal selection in xenografted human T cell acute lymphoblastic leukemia recapitulates gain of malignancy at relapse publication-title: J Exp Med – volume: 46 start-page: 225 year: 2014 end-page: 233 article-title: Genomic architecture and evolution of clear cell renal cell carcinomas defined by multiregion sequencing publication-title: Nat Genet – volume: 6 start-page: 5901 year: 2015 article-title: Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes publication-title: Nat Commun – volume: 16 start-page: 613 year: 2015 end-page: 625 article-title: Epigenetic control of stem cell potential during homeostasis, aging, and disease publication-title: Cell Stem Cell – volume: 467 start-page: 1109 year: 2010 end-page: 1113 article-title: The patterns and dynamics of genomic instability in metastatic pancreatic cancer publication-title: Nature – volume: 26 start-page: 813 year: 2014 end-page: 825 article-title: Locally disordered methylation forms the basis of intratumor methylome variation in chronic lymphocytic leukemia publication-title: Cancer Cell – volume: 339 start-page: 543 year: 2013 end-page: 548 article-title: Variable clonal repopulation dynamics influence chemotherapy response in colorectal cancer publication-title: Science – volume: 96 start-page: 2104 year: 2006 end-page: 2105 article-title: Rudolf Carl Virchow: medical scientist, social reformer, role model publication-title: Am J Public Health – volume: 20 start-page: 342 year: 2014 end-page: 344 article-title: Tumor heterogeneity confounds and illuminates: assessing the implications publication-title: Nat Med – volume: 32 start-page: 2733 year: 1972 end-page: 2736 article-title: Differential sensitivites of human melanoma cells grown in vitro to arabinosylcytosine publication-title: Cancer Res – volume: 8 start-page: 277 year: 2013 end-page: 302 article-title: Cellular heterogeneity and molecular evolution in cancer publication-title: Annu Rev Pathol – volume: 16 start-page: 790 year: 2010 end-page: 799 article-title: Prevalence and heterogeneity of KRAS, BRAF, and PIK3CA mutations in primary colorectal adenocarcinomas and their corresponding metastases publication-title: Clin Cancer Res – volume: 347 start-page: 1999 year: 2002 end-page: 2009 article-title: A gene‐expression signature as a predictor of survival in breast cancer publication-title: N Engl J Med – volume: 41 start-page: 2349 year: 1981 end-page: 2359 article-title: Isolation, karyotype, and clonal growth of heterogeneous subpopulations of human malignant gliomas publication-title: Cancer Res – volume: 3 start-page: 730 year: 1997 end-page: 737 article-title: Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cell publication-title: Nat Med – volume: 25 start-page: 2465 year: 2011 end-page: 2479 article-title: Macrophages and cathepsin proteases blunt chemotherapeutic response in breast cancer publication-title: Genes Dev – volume: 40 start-page: 1636 year: 1980 end-page: 1644 article-title: In vitro selection of murine B16 melanoma variants with enhanced tissue‐invasive properties publication-title: Cancer Res – volume: 104 start-page: 417 year: 2014 end-page: 430 article-title: Beyond genome sequencing: lineage tracking with barcodes to study the dynamics of evolution, infection, and cancer publication-title: Genomics – volume: 38 start-page: 468 year: 2006 end-page: 473 article-title: Genetic clonal diversity predicts progression to esophageal adenocarcinoma publication-title: Nat Genet – volume: 336 start-page: 183 year: 2012 end-page: 187 article-title: Using gene expression noise to understand gene regulation publication-title: Science – volume: 40 start-page: 1645 year: 1980 end-page: 1651 article-title: Cell surface properties of B16 melanoma variants with differing metastatic potential publication-title: Cancer Res – volume: 15 start-page: R75 year: 2014 article-title: Lentiviral and targeted cellular barcoding reveals ongoing clonal dynamics of cell lines in vitro and in vivo publication-title: Genome Biol – volume: 20 start-page: 68 year: 2010 end-page: 80 article-title: Inferring tumor progression from genomic heterogeneity publication-title: Genome Res – volume: 6 start-page: 102 year: 2013 end-page: 108 article-title: Cancer stem cells as “units of selection” publication-title: Evol Appl – volume: 13 start-page: 1213 year: 1953 end-page: 1235 article-title: Cytological studies of tumors. IX. Characteristic chromosome individuality in tumor strain‐cells in ascites tumors of rats publication-title: J Natl Cancer Inst – volume: 193 start-page: 565 year: 2013 end-page: 585 article-title: Genetic diversity and the structure of genealogies in rapidly adapting populations publication-title: Genetics – volume: 42 start-page: 598 year: 2014 end-page: 608 article-title: Cellular barcoding: a technical appraisal publication-title: Exp Hematol – volume: 9 start-page: 357 year: 2011 end-page: 365 article-title: Distinct types of tumor‐initiating cells form human colon cancer tumors and metastases publication-title: Cell Stem Cell – volume: 467 start-page: 1114 year: 2010 end-page: 1117 article-title: Distant metastasis occurs late during the genetic evolution of pancreatic cancer publication-title: Nature – volume: 450 start-page: 56 year: 2007 end-page: 62 article-title: Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system publication-title: Nature – volume: 163 start-page: 799 year: 2015 end-page: 810 article-title: Design and analysis of single‐cell sequencing experiments publication-title: Cell – volume: 514 start-page: 54 year: 2014 end-page: 58 article-title: Non‐cell‐autonomous driving of tumour growth supports sub‐clonal heterogeneity publication-title: Nature – volume: 469 start-page: 362 year: 2011 end-page: 367 article-title: Evolution of human BCR‐ABL1 lymphoblastic leukaemia‐initiating cells publication-title: Nature – volume: 339 start-page: 1546 year: 2013 end-page: 1558 article-title: Cancer genome landscapes publication-title: Science – volume: 366 start-page: 883 year: 2012 end-page: 892 article-title: Intratumor heterogeneity and branched evolution revealed by multiregion sequencing publication-title: N Engl J Med – volume: 58 start-page: 563 year: 2015 end-page: 564 article-title: Single‐cell transcriptomics enters the age of mass production publication-title: Mol Cell – volume: 11 start-page: 726 year: 2011 end-page: 734 article-title: A decade of exploring the cancer epigenome – biological and translational implications publication-title: Nat Rev Cancer – volume: 49 start-page: 2000 year: 2013 end-page: 2009 article-title: Cancer gene expression signatures – the rise and fall? publication-title: Eur J Cancer – volume: 22 start-page: 105 year: 2015 end-page: 113 article-title: Pan‐cancer analysis of the extent and consequences of intratumor heterogeneity publication-title: Nat Med – volume: 38 start-page: 3174 year: 1978 end-page: 3181 article-title: Heterogeneity of tumor cells from a single mouse mammary tumor publication-title: Cancer Res – volume: 152 start-page: 714 year: 2013 end-page: 726 article-title: Evolution and impact of subclonal mutations in chronic lymphocytic leukemia publication-title: Cell – volume: 176 start-page: 1759 year: 2007 end-page: 1798 article-title: Beneficial mutation selection balance and the effect of linkage on positive selection publication-title: Genetics – volume: 24 start-page: 82 year: 2014 end-page: 91 article-title: Single cell analysis of cancer genomes publication-title: Curr Opin Genet Dev – volume: 40 start-page: 1812 year: 1980 end-page: 1819 article-title: Selection and characterization in culture of mammary tumor cells with distinctive growth properties in vivo publication-title: Cancer Res – volume: 28 start-page: 307 year: 2015 end-page: 317 article-title: DNA methylation and somatic mutations converge on the cell cycle and define similar evolutionary histories in brain tumors publication-title: Cancer Cell – volume: 17 start-page: 1086 year: 2011 end-page: 1093 article-title: Stem cell gene expression programs influence clinical outcome in human leukemia publication-title: Nat Med – volume: 20 start-page: 538 year: 2011 end-page: 549 article-title: Macrophage binding to receptor VCAM‐1 transmits survival signals in breast cancer cells that invade the lungs publication-title: Cancer Cell – volume: 14 start-page: 765 year: 2013 end-page: 780 article-title: Mutations in regulators of the epigenome and their connections to global chromatin patterns in cancer publication-title: Nat Rev Genet – volume: 500 start-page: 571 year: 2013 end-page: 574 article-title: Pervasive genetic hitchhiking and clonal interference in forty evolving yeast populations publication-title: Nature – volume: 469 start-page: 356 year: 2011 end-page: 361 article-title: Genetic variegation of clonal architecture and propagating cells in leukaemia publication-title: Nature – volume: 20 start-page: 344 year: 2014 end-page: 346 article-title: Tumor heterogeneity confounds and illuminates: a case for Darwinian tumor evolution publication-title: Nat Med – volume: 5 start-page: 48 year: 2007 end-page: 56 article-title: Persister cells, dormancy and infectious disease publication-title: Nat Rev Microbiol – volume: 11 start-page: 41 year: 2014 end-page: 46 article-title: Quantitative assessment of single‐cell RNA‐sequencing methods publication-title: Nat Methods – volume: 141 start-page: 69 year: 2010 end-page: 80 article-title: A chromatin‐mediated reversible drug‐tolerant state in cancer cell subpopulations publication-title: Cell – volume: 14 start-page: 275 year: 2014 end-page: 291 article-title: Evolution of the cancer stem cell model publication-title: Cell Stem Cell – volume: 7 start-page: 281re2 year: 2015 article-title: Single‐cell genotyping demonstrates complex clonal diversity in acute myeloid leukemia publication-title: Sci Transl Med – volume: 31 start-page: 3898 year: 2013 end-page: 3905 article-title: Clonal heterogeneity as detected by metaphase karyotyping is an indicator of poor prognosis in acute myeloid leukemia publication-title: J Clin Oncol – volume: 194 start-page: 23 year: 1976 end-page: 28 article-title: The clonal evolution of tumor cell populations publication-title: Science – volume: 344 start-page: 1396 year: 2014 end-page: 1401 article-title: Single‐cell RNA‐seq highlights intratumoral heterogeneity in primary glioblastoma publication-title: Science – volume: 4 start-page: 143 year: 2012 end-page: 159 article-title: MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive review publication-title: EMBO Mol Med – volume: 41 start-page: 907 year: 1978 end-page: 911 article-title: Immunofluorescent detection of estrogen receptors in breast cancer. Comparison with dextran‐coated charcoal and sucrose gradient assays publication-title: Cancer – volume: 526 start-page: 525 year: 2015 end-page: 530 article-title: Mutations driving CLL and their evolution in progression and relapse publication-title: Nature – volume: 21 start-page: 309 year: 2012 end-page: 322 article-title: Accessories to the crime: functions of cells recruited to the tumor microenvironment publication-title: Cancer Cell – volume: 110 start-page: 20111 year: 2013 end-page: 20116 article-title: Prostate cancer originating in basal cells progresses to adenocarcinoma propagated by luminal‐like cells publication-title: Proc Natl Acad Sci U S A – volume: 5 start-page: 5871 year: 2014 article-title: DNA barcoding reveals diverse growth kinetics of human breast tumour subclones in serially passaged xenografts publication-title: Nat Commun – volume: 456 start-page: 66 year: 2008 end-page: 72 article-title: DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome publication-title: Nature – volume: 32 start-page: 1201 year: 1964 end-page: 1210 article-title: Relationship between growth rate and differentiation of melanoma in vivo publication-title: J Natl Cancer Inst – volume: 105 start-page: 4283 year: 2008 end-page: 4288 article-title: Comparative lesion sequencing provides insights into tumor evolution publication-title: Proc Natl Acad Sci U S A – volume: 11 start-page: e1001490 year: 2013 article-title: Parallel evolutionary dynamics of adaptive diversification in publication-title: PLoS Biol – volume: 322 start-page: 1511 year: 2008 end-page: 1516 article-title: Dynamic proteomics of individual cancer cells in response to a drug publication-title: Science – volume: 109 start-page: 14508 year: 2012 end-page: 14513 article-title: Detection of ultra‐rare mutations by next‐generation sequencing publication-title: Proc Natl Acad Sci U S A – volume: 146 start-page: 633 year: 2011 end-page: 644 article-title: Stochastic state transitions give rise to phenotypic equilibrium in populations of cancer cells publication-title: Cell – volume: 4 start-page: 348 year: 2014 end-page: 361 article-title: Evolution of DNA methylation is linked to genetic aberrations in chronic lymphocytic leukemia publication-title: Cancer Discov – volume: 349 start-page: 1351 year: 2015 end-page: 1356 article-title: RNA‐Seq of single prostate CTCs implicates noncanonical Wnt signaling in antiandrogen resistance publication-title: Science (80‐.) – volume: 482 start-page: 529 year: 2012 end-page: 533 article-title: Clonal selection drives genetic divergence of metastatic medulloblastoma publication-title: Nature – volume: 9 start-page: e1003972 year: 2013 article-title: Whole genome, whole population sequencing reveals that loss of signaling networks is the major adaptive strategy in a constant environment publication-title: PLoS Genet – volume: 8 start-page: 798 year: 2014 end-page: 806 article-title: Intratumor DNA methylation heterogeneity reflects clonal evolution in aggressive prostate cancer publication-title: Cell Rep – volume: 463 start-page: 913 year: 2010 end-page: 918 article-title: Variability in gene expression underlies incomplete penetrance publication-title: Nature – volume: 21 start-page: 440 year: 2015 end-page: 448 article-title: Studying clonal dynamics in response to cancer therapy using high‐complexity barcoding publication-title: Nat Med – volume: 472 start-page: 90 year: 2011 end-page: 94 article-title: Tumour evolution inferred by single‐cell sequencing publication-title: Nature – volume: 10 start-page: e1004462 year: 2014 article-title: Clonal architecture of secondary acute myeloid leukemia defined by single‐cell sequencing publication-title: PLoS Genet – volume: 54 start-page: 716 year: 2014 end-page: 727 article-title: Cancer epigenetics: tumor heterogeneity, plasticity of stem‐like states, and drug resistance publication-title: Mol Cell – volume: 176 start-page: 1340 year: 1972 end-page: 1341 article-title: Tumor etiology and chromosome pattern publication-title: Science – volume: 294 start-page: 804 year: 2001 end-page: 808 article-title: Biodiversity and ecosystem functioning: current knowledge and future challenges publication-title: Science – volume: 481 start-page: 306 year: 2012 end-page: 313 article-title: Clonal evolution in cancer publication-title: Nature – volume: 407 start-page: 477 year: 2000 end-page: 483 article-title: A yeast prion provides a mechanism for genetic variation and phenotypic diversity publication-title: Nature – volume: 340 start-page: 212 year: 2013 end-page: 219 article-title: Advances for studying clonal evolution in cancer publication-title: Cancer Lett – ident: e_1_2_13_55_1 doi: 10.1126/science.1235122 – ident: e_1_2_13_62_1 doi: 10.1038/nm0797-730 – ident: e_1_2_13_63_1 doi: 10.1016/j.stem.2014.02.006 – ident: e_1_2_13_56_1 doi: 10.1038/nrg3554 – ident: e_1_2_13_53_1 doi: 10.1002/emmm.201100209 – ident: e_1_2_13_60_1 doi: 10.1016/j.ccell.2015.07.012 – ident: e_1_2_13_67_1 doi: 10.1111/eva.12017 – ident: e_1_2_13_40_1 doi: 10.1038/nature12344 – ident: e_1_2_13_82_1 doi: 10.1038/ncomms6871 – ident: e_1_2_13_22_1 doi: 10.1038/nature10825 – ident: e_1_2_13_64_1 doi: 10.1016/j.cell.2011.07.026 – ident: e_1_2_13_87_1 doi: 10.1038/ncomms6901 – ident: e_1_2_13_20_1 doi: 10.1038/nature09515 – ident: e_1_2_13_68_1 doi: 10.1038/nature09650 – ident: e_1_2_13_47_1 doi: 10.1890/10-1245.1 – ident: e_1_2_13_75_1 doi: 10.1016/j.ccr.2011.08.025 – ident: e_1_2_13_72_1 doi: 10.1038/nature08781 – ident: e_1_2_13_84_1 doi: 10.1038/nm.3841 – ident: e_1_2_13_33_1 doi: 10.1126/scitranslmed.aaa0763 – ident: e_1_2_13_10_1 doi: 10.1093/jnci/32.6.1201 – ident: e_1_2_13_69_1 doi: 10.1084/jem.20110105 – ident: e_1_2_13_32_1 doi: 10.1038/nature10762 – ident: e_1_2_13_70_1 doi: 10.1038/nature09733 – ident: e_1_2_13_80_1 doi: 10.1016/j.stem.2011.08.010 – ident: e_1_2_13_39_1 doi: 10.1371/journal.pbio.1001490 – volume: 40 start-page: 1812 year: 1980 ident: e_1_2_13_9_1 article-title: Selection and characterization in culture of mammary tumor cells with distinctive growth properties in vivo publication-title: Cancer Res contributor: fullname: Danielson KG – ident: e_1_2_13_19_1 doi: 10.1038/nature08489 – ident: e_1_2_13_48_1 doi: 10.1038/35035005 – ident: e_1_2_13_49_1 doi: 10.1038/nrmicro1557 – ident: e_1_2_13_31_1 doi: 10.1038/nature10738 – ident: e_1_2_13_52_1 doi: 10.1038/nrc3130 – ident: e_1_2_13_85_1 doi: 10.1016/j.ejca.2013.02.021 – ident: e_1_2_13_88_1 doi: 10.1038/nmeth.2694 – ident: e_1_2_13_37_1 doi: 10.1038/nature13556 – ident: e_1_2_13_78_1 doi: 10.1016/j.ygeno.2014.09.005 – ident: e_1_2_13_2_1 doi: 10.2105/AJPH.2005.078436 – ident: e_1_2_13_44_1 doi: 10.1016/j.cell.2015.10.039 – ident: e_1_2_13_42_1 doi: 10.1016/j.canlet.2012.12.028 – ident: e_1_2_13_14_1 doi: 10.1038/nature07485 – ident: e_1_2_13_71_1 doi: 10.1126/science.1216379 – ident: e_1_2_13_79_1 doi: 10.1016/j.exphem.2014.05.003 – ident: e_1_2_13_21_1 doi: 10.1038/nature09460 – ident: e_1_2_13_83_1 doi: 10.1186/gb-2014-15-5-r75 – ident: e_1_2_13_38_1 doi: 10.1371/journal.pgen.1003972 – ident: e_1_2_13_25_1 doi: 10.1038/ng1768 – volume: 38 start-page: 3174 year: 1978 ident: e_1_2_13_3_1 article-title: Heterogeneity of tumor cells from a single mouse mammary tumor publication-title: Cancer Res contributor: fullname: Dexter DL – volume: 40 start-page: 1636 year: 1980 ident: e_1_2_13_5_1 article-title: In vitro selection of murine B16 melanoma variants with enhanced tissue‐invasive properties publication-title: Cancer Res contributor: fullname: Poste G – ident: e_1_2_13_16_1 doi: 10.1038/ng.2891 – ident: e_1_2_13_65_1 doi: 10.1038/nm.2415 – ident: e_1_2_13_15_1 doi: 10.1038/nm.3518 – ident: e_1_2_13_51_1 doi: 10.1146/annurev-pathol-020712-163923 – ident: e_1_2_13_91_1 doi: 10.1016/j.molcel.2015.05.019 – ident: e_1_2_13_18_1 doi: 10.1158/1078-0432.CCR-09-2446 – ident: e_1_2_13_36_1 doi: 10.1534/genetics.106.067678 – ident: e_1_2_13_50_1 doi: 10.1126/science.1227670 – ident: e_1_2_13_73_1 doi: 10.1126/science.1160165 – ident: e_1_2_13_76_1 doi: 10.1101/gad.180331.111 – ident: e_1_2_13_28_1 doi: 10.1016/j.cell.2013.01.019 – ident: e_1_2_13_89_1 doi: 10.1126/science.1254257 – volume: 40 start-page: 1645 year: 1980 ident: e_1_2_13_6_1 article-title: Cell surface properties of B16 melanoma variants with differing metastatic potential publication-title: Cancer Res contributor: fullname: Raz A – ident: e_1_2_13_13_1 doi: 10.1126/science.959840 – ident: e_1_2_13_17_1 doi: 10.1056/NEJMoa1113205 – ident: e_1_2_13_61_1 doi: 10.1016/j.cell.2010.02.027 – ident: e_1_2_13_66_1 doi: 10.1016/j.stem.2015.05.009 – ident: e_1_2_13_30_1 doi: 10.1038/nm.3984 – ident: e_1_2_13_7_1 doi: 10.1126/science.176.4041.1340 – ident: e_1_2_13_57_1 doi: 10.1016/j.ccell.2014.10.012 – ident: e_1_2_13_41_1 doi: 10.1073/pnas.1208715109 – ident: e_1_2_13_35_1 doi: 10.1534/genetics.112.147157 – volume: 32 start-page: 2733 year: 1972 ident: e_1_2_13_11_1 article-title: Differential sensitivites of human melanoma cells grown in vitro to arabinosylcytosine publication-title: Cancer Res contributor: fullname: Barranco SC – ident: e_1_2_13_45_1 doi: 10.1073/pnas.0712345105 – ident: e_1_2_13_86_1 doi: 10.1056/NEJMoa021967 – ident: e_1_2_13_24_1 doi: 10.1101/gr.099622.109 – ident: e_1_2_13_81_1 doi: 10.1073/pnas.1320565110 – ident: e_1_2_13_4_1 doi: 10.1002/1097-0142(197803)41:3<907::AID-CNCR2820410318>3.0.CO;2-V – ident: e_1_2_13_54_1 doi: 10.1016/j.molcel.2014.05.015 – ident: e_1_2_13_29_1 doi: 10.1038/nm.3522 – ident: e_1_2_13_74_1 doi: 10.1016/j.ccr.2012.02.022 – ident: e_1_2_13_23_1 doi: 10.1038/nature09807 – ident: e_1_2_13_34_1 doi: 10.1371/journal.pgen.1004462 – ident: e_1_2_13_43_1 doi: 10.1016/j.gde.2013.12.004 – ident: e_1_2_13_59_1 doi: 10.1016/j.celrep.2014.06.053 – volume: 41 start-page: 2349 year: 1981 ident: e_1_2_13_8_1 article-title: Isolation, karyotype, and clonal growth of heterogeneous subpopulations of human malignant gliomas publication-title: Cancer Res contributor: fullname: Shapiro JR – ident: e_1_2_13_26_1 doi: 10.1200/JCO.2013.50.7921 – ident: e_1_2_13_27_1 doi: 10.1038/nature15395 – ident: e_1_2_13_58_1 doi: 10.1158/2159-8290.CD-13-0349 – volume: 13 start-page: 1213 year: 1953 ident: e_1_2_13_12_1 article-title: Cytological studies of tumors. IX. Characteristic chromosome individuality in tumor strain‐cells in ascites tumors of rats publication-title: J Natl Cancer Inst contributor: fullname: Makino S – ident: e_1_2_13_46_1 doi: 10.1126/science.1064088 – ident: e_1_2_13_77_1 doi: 10.1038/nature06293 – ident: e_1_2_13_90_1 doi: 10.1126/science.aab0917 |
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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 |
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