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Comparative characterization of 3D chromatin organization in triple-negative breast cancers

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초록

Triple-negative breast cancer (TNBC) is a malignant cancer subtype with a high risk of recurrence and an aggressive phenotype compared to other breast cancer subtypes. Although many breast cancer studies conducted to date have investigated genetic variations and differential target gene expression, how 3D chromatin architectures are reorganized in TNBC has been poorly elucidated. Here, using in situ Hi-C technology, we characterized the 3D chromatin organization in cells representing five distinct subtypes of breast cancer (including TNBC) compared to that in normal cells. We found that the global and local 3D architectures were severely disrupted in breast cancer. TNBC cell lines (especially BT549 cells) showed the most dramatic changes relative to normal cells. Importantly, we detected CTCF-dependent TNBC-susceptible losses/gains of 3D chromatin organization and found that these changes were strongly associated with perturbed chromatin accessibility and transcriptional dysregulation. In TNBC tissue, 3D chromatin disorganization was also observed relative to the 3D chromatin organization in normal tissues. We observed that the perturbed local 3D architectures found in TNBC cells were partially conserved in TNBC tissues. Finally, we discovered distinct tissue-specific chromatin loops by comparing normal and TNBC tissues. In this study, we elucidated the characteristics of the 3D chromatin organization in breast cancer relative to normal cells/tissues at multiple scales and identified associations between disrupted structures and various epigenetic features and transcriptomes. Collectively, our findings reveal important 3D chromatin structural features for future diagnostic and therapeutic studies of TNBC.

Abstract

Triple-negative breast cancer (TNBC) is a malignant cancer subtype with a high risk of recurrence and an aggressive phenotype compared to other breast cancer subtypes. Although many breast cancer studies conducted to date have investigated genetic variations and differential target gene expression, how 3D chromatin architectures are reorganized in TNBC has been poorly elucidated. Here, using in situ Hi-C technology, we characterized the 3D chromatin organization in cells representing five distinct subtypes of breast cancer (including TNBC) compared to that in normal cells. We found that the global and local 3D architectures were severely disrupted in breast cancer. TNBC cell lines (especially BT549 cells) showed the most dramatic changes relative to normal cells. Importantly, we detected CTCF-dependent TNBC-susceptible losses/gains of 3D chromatin organization and found that these changes were strongly associated with perturbed chromatin accessibility and transcriptional dysregulation. In TNBC tissue, 3D chromatin disorganization was also observed relative to the 3D chromatin organization in normal tissues. We observed that the perturbed local 3D architectures found in TNBC cells were partially conserved in TNBC tissues. Finally, we discovered distinct tissue-specific chromatin loops by comparing normal and TNBC tissues. In this study, we elucidated the characteristics of the 3D chromatin organization in breast cancer relative to normal cells/tissues at multiple scales and identified associations between disrupted structures and various epigenetic features and transcriptomes. Collectively, our findings reveal important 3D chromatin structural features for future diagnostic and therapeutic studies of TNBC.

참고문헌 (68)

  1. Esteller, M., "Cancer epigenomics : DNA methylomes and histone-modification maps", Nat. Rev. Genet, 8, pp.286~298 (2007)
  2. Shah, S. P., "The clonal and mutational evolution spectrum of primary triplenegative breast cancers", Nature, 486, pp.395~399 (2012)
  3. Zeitz, M. J., "Genomic interaction profiles in breast cancer reveal altered chromatin architecture", PLoS ONE, 8, pp.e73974~ (2013)
  4. Dai, X., "Breast cancer cell line classification and Its relevance with breast tumor subtyping", J. Cancer, 8, pp.3131~3141 (2017)
  5. Kumar, P., "An overview of triple-negative breast cancer", Arch. Gynecol. Obstet, 293, pp.247~269 (2016)
  6. Lee, S. B., "Dynamic and subtype-specific interactions between tumour burden and prognosis in breast cancer", Sci. Rep, 10, pp.15445~ (2020)
  7. Roychowdhury, S., "Translating cancer genomes and transcriptomes for precision oncology", CA Cancer J. Clin, 66, pp.75~88 (2016)
  8. Ferreira, M. A., "Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer", Nat. Commun, 10, pp.1741~ (2019)
  9. Lieberman-Aiden, E., "Comprehensive mapping of long-range interactions reveals folding principles of the human genome", Science, 326, pp.289~293 (2009)
  10. Dixon, J. R., "Topological domains in mammalian genomes identified by analysis of chromatin interactions", Nature, 485, pp.376~380 (2012)
  11. Nora, E. P., "Spatial partitioning of the regulatory landscape of the X-inactivation centre", Nature, 485, pp.381~385 (2012)
  12. Rao, S. S., "A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping", Cell, 159, pp.1665~1680 (2014)
  13. Nora, E. P., "Targeted degradation of CTCF decouples local insulation of chromosome domains from genomic compartmentalization", Cell, 169, pp.930~944.e22 (2017)
  14. Wutz, G., "Topologically associating domains and chromatin loops depend on cohesin and are regulated by CTCF, WAPL, and PDS5 proteins", EMBO J, 36, pp.3573~3599 (2017)
  15. Szabo, Q., "Regulation of single-cell genome organization into TADs and chromatin nanodomains", Nat. Genet, 52, pp.1151~1157 (2020)
  16. Luppino, J. M., "Cohesin promotes stochastic domain intermingling to ensure proper regulation of boundary-proximal genes", Nat. Genet, 52, pp.840~848 (2020)
  17. Hnisz, D., "Activation of proto-oncogenes by disruption of chromosome neighborhoods", Science, 351, pp.1454~1458 (2016)
  18. Flavahan, W. A., "Insulator dysfunction and oncogene activation in IDH mutant gliomas", Nature, 529, pp.110~114 (2016)
  19. Flavahan, W. A., "Altered chromosomal topology drives oncogenic programs in SDH-deficient GISTs", Nature, 575, pp.229~233 (2019)
  20. Achinger-Kawecka, J., "Epigenetic reprogramming at estrogen-receptor binding sites alters 3D chromatin landscape in endocrine-resistant breast cancer", Nat. Commun, 11, pp.320~ (2020)
  21. Baxter, J. S., "Capture Hi-C identifies putative target genes at 33 breast cancer risk loci", Nat. Commun, 9, pp.1028~ (2018)
  22. Neve, R. M., "A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes", Cancer Cell, 10, pp.515~527 (2006)
  23. Holliday, D. L., "Choosing the right cell line for breast cancer research", Breast Cancer Res, 13, pp.215~ (2011)
  24. Yang, T., "HiCRep: assessing the reproducibility of Hi-C data using a stratumadjusted correlation coefficient", Genome Res, 27, pp.1939~1949 (2017)
  25. Zhan, Y., "Reciprocal insulation analysis of Hi-C data shows that TADs represent a functionally but not structurally privileged scale in the hierarchical folding of chromosomes", Genome Res, 27, pp.479~490 (2017)
  26. Durand, N. C., "Juicer provides a one-click system for analyzing loopresolution Hi-C experiments", Cell Syst, 3, pp.95~98 (2016)
  27. Heinz, S., "Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities", Mol. Cell, 38, pp.576~589 (2010)
  28. Lu Chen, "Genome Architecture and Its Roles in Human Copy Number Variation", Genomics & Informatics, 12(4), pp.136~144 (2014), 한국유전체학회[DOI]
  29. Wu, P., "3D genome of multiple myeloma reveals spatial genome disorganization associated with copy number variations", Nat. Commun, 8, pp.1937~ (2017)
  30. Stephens, P. J., "Complex landscapes of somatic rearrangement in human breast cancer genomes", Nature, 462, pp.1005~1010 (2009)
  31. Chakraborty, A., "Identification of copy number variations and translocations in cancer cells from Hi-C data", Bioinformatics, 34, pp.338~345 (2018)
  32. Imakaev, M., "Iterative correction of Hi-C data reveals hallmarks of chromosome organization", Nat. Methods, 9, pp.999~1003 (2012)
  33. Lupiáñez, D. G., "Disruptions of topological chromatin domains cause pathogenic rewiring of gene-enhancer interactions", Cell, 161, pp.1012~1025 (2015)
  34. Cuddapah, S., "Global analysis of the insulator binding protein CTCF in chromatin barrier regions reveals demarcation of active and repressive domains", Genome Res, 19, pp.24~32 (2009)
  35. Oomen, M. E., "CTCF sites display cell cycle-dependent dynamics in factor binding and nucleosome positioning", Genome Res, 29, pp.236~249 (2019)
  36. Splinter, E., "CTCF mediates long-range chromatin looping and local histone modification in the β-globin locus", Genes Dev, 20, pp.2349~2354 (2006)
  37. Hou, C. H., "CTCF-dependent enhancer-blocking by alternative chromatin loop formation", Proc. Natl Acad. Sci. USA, 105, pp.20398~20403 (2008)
  38. Dixon, J. R., "Chromatin architecture reorganization during stem cell differentiation", Nature, 518, pp.331~336 (2015)
  39. Jollife, I. T., "Principal component analysis: a review and recent developments", Philos. Trans. R. Soc. A Math. Phys. Eng. Sci, 374, pp.20150202~ (2016)
  40. Barutcu, A. R., "Chromatin interaction analysis reveals changes in small chromosome and telomere clustering between epithelial and breast cancer cells", Genome Biol, 16, pp.214~ (2015)
  41. Wang, J., "Genome-wide analysis uncovers high frequency, strong differential chromosomal interactions and their associated epigenetic patterns in E2-mediated gene regulation", BMC Genom, 14, pp.70~ (2013)
  42. Xu, H., "Exploring 3D chromatin contacts in gene regulation : The evolution of approaches for the identification of functional enhancer–promoter interaction", Comput. Struct. Biotechnol. J, 18, pp.558~570 (2020)
  43. Taberlay, P. C., "Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations", Genome Res, 26, pp.719~731 (2016)
  44. Achinger-Kawecka, J., "Alterations in three-dimensional organization of the cancer genome and epigenome", Cold Spring Harb. Symp. Quant. Biol, 81, pp.41~51 (2016)
  45. Heaphy, C. M., "Telomere DNA content and allelic imbalance demonstrate field cancerization in histologically normal tissue adjacent to breast tumors", Int. J. Cancer, 119, pp.108~116 (2006)
  46. Troester, M. A., "DNA defects, epigenetics, and gene expression in canceradjacent breast: a study from the cancer genome atlas", NPJ Breast Cancer, 2, pp.16007~ (2016)
  47. Muse, M. E., "Enrichment of CpG island shore region hypermethylation in epigenetic breast field cancerization", Epigenetics, 15, pp.1093~1106 (2020)
  48. Heaphy, C. M., "Mammary field cancerization: molecular evidence and clinical importance", Breast Cancer Res. Treat, 118, pp.229~239 (2009)
  49. Schummer, M., "Comparison of breast cancer to healthy control tissue discovers novel markers with potential for prognosis and early detection", PLoS ONE, 5, pp.e9122~ (2010)
  50. Hoy, A. J., "Adipocyte–tumor cell metabolic crosstalk in breast cancer", Trends Mol. Med, 23, pp.381~392 (2017)
  51. Huang, X., "High expressions of LDHA and AMPK as prognostic biomarkers for breast cancer", Breast, 30, pp.39~46 (2016)
  52. Khan, M. A., "PI3K", AKT, Drug Discov. Today, pp.2019, 24[DOI]
  53. Lehmann, B. D., "Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies", J. Clin. Investig, 121, pp.2750~2767 (2011)
  54. Lehmann, B. D., "Refinement of triple-negative breast cancer molecular subtypes : Implications for neoadjuvant chemotherapy selection", PLoS ONE, 11, pp.e0157368~ (2016)
  55. Barutcu, A. R., "RUNX1 contributes to higher-order chromatin organization and gene regulation in breast cancer cells", Biochim. Biophys. Acta Gene Regul. Mech, 1859, pp.1389~1397 (2016)
  56. Yang, Y., "3D genomic landscape of differential response to EGFR", HER2inhibition in endocrine-resistant breast cancer cells, 2020, pp.1863, 194631~
  57. Fang, C., "Cancer-specific CTCF binding facilitates oncogenic transcriptional dysregulation", Genome Biol, 21, pp.247~ (2020)
  58. Ji, X., "3D Chromosome regulatory landscape of human pluripotent cells", Cell Stem Cell, 18, pp.262~275 (2016)
  59. Poulos, R. C., "Functional mutations form at CTCF-cohesin binding sites in melanoma due to uneven nucleotide excision repair across the motif", Cell Rep, 17, pp.2865~2872 (2016)
  60. Aran, D., "Comprehensive analysis of normal adjacent to tumor transcriptomes", Nat. Commun, 8, pp.1077~ (2017)
  61. Coyle, Y. M., "The effect of environment on breast cancer risk", Breast Cancer Res. Treat, 84, pp.273~288 (2004)
  62. Huston, T. L., "Locally recurrent breast cancer after conservation therapy", Am. J. Surg, 189, pp.229~235 (2005)
  63. Yu, K., "Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types", Nat. Commun, 10, pp.3574~ (2019)
  64. Jiang, G., "Comprehensive comparison of molecular portraits between cell lines and tumors in breast cancer", BMC Genom, 17(Suppl. 7), pp.525~ (2016)
  65. Vincent, K. M., "Assessing breast cancer cell lines as tumour models by comparison of mRNA expression profiles", Breast Cancer Res, 17, pp.114~ (2015)
  66. Mouriaux, F., "Effects of long-term serial passaging on the characteristics and properties of cell lines derived from uveal melanoma primary tumors", Investig. Ophthalmol. Vis. Sci, 57, pp.5288~5301 (2016)
  67. Chung, W., "Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer", Nat. Commun, 8, pp.15081~ (2017)
  68. Burstein, M. D., "Comprehensive genomic analysis identifies novel subtypes and targets of triple-negative breast cancer", Clin. Cancer Res, 21, pp.1688~1698 (2015)

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