Punctuated Copy Number Evolution and Clonal Stasis in Triple-Negative Breast Cancer

Aneuploidy is a hallmark of breast cancer; however, knowledge of how these complex genomic rearrangements evolve during tumorigenesis is limited. In this study, we developed a highly multiplexed single-nucleus sequencing method to investigate copy number evolution in patients with triple-negative breast cancer. We sequenced 1,000 single cells from tumors in 12 patients and identified 1–3 major clonal subpopulations in each tumor that shared a common evolutionary lineage. For each tumor, we also identified a minor subpopulation of non-clonal cells that were classified as metastable, pseudodiploid or chromazemic. Phylogenetic analysis and mathematical modeling suggest that these data are unlikely to be explained by the gradual accumulation of copy number events over time. In contrast, our data challenge the paradigm of gradual evolution, showing that the majority of copy number aberrations are acquired at the earliest stages of tumor evolution, in short punctuated bursts, followed by stable clonal expansions that form the tumor mass.

[1]  Klaus Peter Schliep,et al.  phangorn: phylogenetic analysis in R , 2010, Bioinform..

[2]  N. Carter,et al.  Massive Genomic Rearrangement Acquired in a Single Catastrophic Event during Cancer Development , 2011, Cell.

[3]  N. Navin,et al.  Clonal Evolution in Breast Cancer Revealed by Single Nucleus Genome Sequencing , 2014, Nature.

[4]  M. Wigler,et al.  Circular binary segmentation for the analysis of array-based DNA copy number data. , 2004, Biostatistics.

[5]  B. Vogelstein,et al.  A genetic model for colorectal tumorigenesis , 1990, Cell.

[6]  C. Curtis,et al.  A Big Bang model of human colorectal tumor growth , 2015, Nature Genetics.

[7]  Kees Mulder,et al.  Circular Statistics in R , 2015 .

[8]  M. Boutros,et al.  Proteins Required for Centrosome Clustering in Cancer Cells , 2010, Science Translational Medicine.

[9]  Next generation sequencing of triple negative breast cancer to find predictors for chemotherapy response , 2015, Breast Cancer Research.

[10]  Lynda Chin,et al.  p53 Deficiency Rescues the Adverse Effects of Telomere Loss and Cooperates with Telomere Dysfunction to Accelerate Carcinogenesis , 1999, Cell.

[11]  Xuemei Lu,et al.  Extremely high genetic diversity in a single tumor points to prevalence of non-Darwinian cell evolution , 2015, Proceedings of the National Academy of Sciences.

[12]  Beatriz de la Iglesia,et al.  Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms , 2006, J. Math. Model. Algorithms.

[13]  Irmtraud M. Meyer,et al.  The clonal and mutational evolution spectrum of primary triple-negative breast cancers , 2012, Nature.

[14]  Steven L Salzberg,et al.  Fast gapped-read alignment with Bowtie 2 , 2012, Nature Methods.

[15]  S. Gould,et al.  Punctuated equilibria: an alternative to phyletic gradualism , 1972 .

[16]  Hugo M. Horlings,et al.  Integrative molecular profiling of triple negative breast cancers identifies amplicon drivers and potential therapeutic targets , 2009, Oncogene.

[17]  Aaron R. Quinlan,et al.  Bioinformatics Applications Note Genome Analysis Bedtools: a Flexible Suite of Utilities for Comparing Genomic Features , 2022 .

[18]  R. DePinho,et al.  A critical role for telomeres in suppressing and facilitating carcinogenesis. , 2000, Current opinion in genetics & development.

[19]  R. DePinho,et al.  Cancer chromosomes in crisis , 2004, Nature Genetics.

[20]  A. Børresen-Dale,et al.  Copynumber: Efficient algorithms for single- and multi-track copy number segmentation , 2012, BMC Genomics.

[21]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[22]  T. Caliński,et al.  A dendrite method for cluster analysis , 1974 .

[23]  P. Ellis,et al.  Adjuvant trastuzumab for HER2-positive breast cancer , 2005, The Lancet.

[24]  Michael Wigler,et al.  Genome-wide copy number analysis of single cells , 2012, Nature Protocols.

[25]  A. Amon,et al.  Single cell sequencing reveals low levels of aneuploidy across mammalian tissues , 2014, Proceedings of the National Academy of Sciences.

[26]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[27]  Steven J. M. Jones,et al.  Comprehensive molecular portraits of human breast tumours , 2013 .

[28]  Jane Fridlyand,et al.  Bioinformatics Original Paper a Comparison Study: Applying Segmentation to Array Cgh Data for Downstream Analyses , 2022 .

[29]  Mattias Höglund,et al.  Multivariate analysis of chromosomal imbalances in breast cancer delineates cytogenetic pathways and reveals complex relationships among imbalances. , 2002, Cancer research.

[30]  Mingming Jia,et al.  COSMIC: exploring the world's knowledge of somatic mutations in human cancer , 2014, Nucleic Acids Res..

[31]  N. Eldredge,et al.  Punctuated equilibrium comes of age , 1993, Nature.

[32]  James Briscoe,et al.  An intuitive graphical visualization technique for the interrogation of transcriptome data , 2011, Nucleic acids research.

[33]  Geoffrey E. Hinton,et al.  Visualizing Data using t-SNE , 2008 .

[34]  A. Sivachenko,et al.  Punctuated Evolution of Prostate Cancer Genomes , 2013, Cell.

[35]  Ian O Ellis,et al.  Basal-like breast cancer: a critical review. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[36]  Steven J. M. Jones,et al.  Comprehensive molecular portraits of human breast tumors , 2012, Nature.

[37]  Robin L. Jones,et al.  Inference of tumor evolution during chemotherapy by computational modeling and in situ analysis of genetic and phenotypic cellular diversity. , 2014, Cell reports.

[38]  J. Troge,et al.  Tumour evolution inferred by single-cell sequencing , 2011, Nature.

[39]  J. Troge,et al.  Inferring tumor progression from genomic heterogeneity. , 2010, Genome research.

[40]  D. Hanahan,et al.  Hallmarks of Cancer: The Next Generation , 2011, Cell.

[41]  Yoh Iwasa,et al.  An Evolutionary Approach for Identifying Driver Mutations in Colorectal Cancer , 2015, PLoS Comput. Biol..

[42]  James Hicks,et al.  Tracing the tumor lineage , 2010, Molecular oncology.

[43]  K. Chin,et al.  In situ analyses of genome instability in breast cancer , 2004, Nature Genetics.

[44]  Kenny Q. Ye,et al.  Novel patterns of genome rearrangement and their association with survival in breast cancer. , 2006, Genome research.

[45]  Marc J. Williams,et al.  Identification of neutral tumor evolution across cancer types , 2016, Nature Genetics.

[46]  M. Gönen,et al.  Cellular and genetic diversity in the progression of in situ human breast carcinomas to an invasive phenotype. , 2010, The Journal of clinical investigation.

[47]  Michael C. Schatz,et al.  Interactive analysis and assessment of single-cell copy-number variations , 2015, Nature Methods.

[48]  D. Compton,et al.  Chromosomal instability and cancer: a complex relationship with therapeutic potential. , 2012, The Journal of clinical investigation.

[49]  Andrew Menzies,et al.  Subclonal diversification of primary breast cancer revealed by multiregion sequencing , 2015, Nature Medicine.

[50]  Debra L Winkeljohn Triple-negative breast cancer. , 2008, Clinical journal of oncology nursing.

[51]  D. Pellman,et al.  Mechanisms to suppress multipolar divisions in cancer cells with extra centrosomes. , 2008, Genes & development.

[52]  L. Excoffier,et al.  Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. , 1992, Genetics.

[53]  G. Hommel A stagewise rejective multiple test procedure based on a modified Bonferroni test , 1988 .

[54]  Gonçalo R. Abecasis,et al.  The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..