Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Epigenomic heterogeneity as a source of tumour evolution

Abstract

In the past decade, remarkable progress in cancer medicine has been achieved by the development of treatments that target DNA sequence variants. However, a purely genetic approach to treatment selection is hampered by the fact that diverse cell states can emerge from the same genotype. In multicellular organisms, cell-state heterogeneity is driven by epigenetic processes that regulate DNA-based functions such as transcription; disruption of these processes is a hallmark of cancer that enables the emergence of defective cell states. Advances in single-cell technologies have unlocked our ability to quantify the epigenomic heterogeneity of tumours and understand its mechanisms, thereby transforming our appreciation of how epigenomic changes drive cancer evolution. This Review explores the idea that epigenomic heterogeneity and plasticity act as a reservoir of cell states and therefore as a source of tumour evolution. Best practices to quantify epigenomic heterogeneity and explore its various causes and consequences are discussed, including epigenomic reprogramming, stochastic changes and lasting memory. The design of new therapeutic approaches to restrict epigenomic heterogeneity, with the long-term objective of limiting cancer development and progression, is also addressed.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Overview of epigenomic modifications that can be measured at single-cell resolution.
Fig. 2: Epigenomic heterogeneity and its consequences in three different cancer types.
Fig. 3: Monitoring tumour evolution with single-cell epigenomics.
Fig. 4: Epigenomic mechanisms of tumour evolution from initiation to treatment response.
Fig. 5: Strategies to intercept tumour evolution with epigenetic therapy.

Similar content being viewed by others

References

  1. Ciriello, G. et al. Cancer evolution: a multifaceted affair. Cancer Discov. 14, 36–48 (2024).

    Article  PubMed  CAS  Google Scholar 

  2. Marine, J.-C., Dawson, S.-J. & Dawson, M. A. Non-genetic mechanisms of therapeutic resistance in cancer. Nat. Rev. Cancer 20, 743–756 (2020).

    Article  PubMed  CAS  Google Scholar 

  3. Hanahan, D. Hallmarks of cancer: new dimensions. Cancer Discov. 12, 31–46 (2022).

    Article  PubMed  CAS  Google Scholar 

  4. Rahme, G. J. et al. Modeling epigenetic lesions that cause gliomas. Cell 186, 3674–3685.e14 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Gaudet, F. et al. Induction of tumors in mice by genomic hypomethylation. Science 300, 489–492 (2003).

    Article  PubMed  CAS  Google Scholar 

  6. Parreno, V. et al. Transient loss of Polycomb components induces an epigenetic cancer fate. Nature 629, 688–696 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  7. Cimmino, L. et al. Restoration of TET2 function blocks aberrant self-renewal and leukemia progression. Cell 170, 1079–1095.e20 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Mack, S. C. et al. Epigenomic alterations define lethal CIMP-positive ependymomas of infancy. Nature 506, 445–450 (2014). This report describes a primary tumour arising and dependent solely on chromatin variants (as opposed to mutations).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Bertucci, F. et al. Genomic characterization of metastatic breast cancers. Nature 569, 560–564 (2019).

    Article  PubMed  CAS  Google Scholar 

  10. Burdett, N. L. et al. Multiomic analysis of homologous recombination-deficient end-stage high-grade serous ovarian cancer. Nat. Genet. 55, 437–450 (2023). This paper demonstrates the mixed genetic and non-genetic evolution of metastatic ovarian cancer.

    Article  PubMed  CAS  Google Scholar 

  11. Makohon-Moore, A. P. et al. Limited heterogeneity of known driver gene mutations among the metastases of individual patients with pancreatic cancer. Nat. Genet. 49, 358–366 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  12. McDonald, O. G. et al. Epigenomic reprogramming during pancreatic cancer progression links anabolic glucose metabolism to distant metastasis. Nat. Genet. 49, 367–376 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  13. Preissl, S., Gaulton, K. J. & Ren, B. Characterizing cis-regulatory elements using single-cell epigenomics. Nat. Rev. Genet 24, 21–43 (2023).

    Article  PubMed  CAS  Google Scholar 

  14. Casado-Pelaez, M., Bueno-Costa, A. & Esteller, M. Single cell cancer epigenetics. Trends Cancer 8, 820–838 (2022).

    Article  PubMed  CAS  Google Scholar 

  15. Nam, A. S., Chaligne, R. & Landau, D. A. Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics. Nat. Rev. Genet. 22, 3–18 (2021).

    Article  PubMed  CAS  Google Scholar 

  16. Becker, W. R. et al. Single-cell analyses define a continuum of cell state and composition changes in the malignant transformation of polyps to colorectal cancer. Nat. Genet. 54, 985–995 (2022). This multi-regional sampling study shows that a continuum of epigenomic-state transitions exist during tumorigenesis.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  17. Singh, H. et al. Hybrid stomach-intestinal chromatin states underlie human Barrett’s metaplasia. Gastroenterology 161, 924–939.e11 (2021).

    Article  PubMed  CAS  Google Scholar 

  18. Burdziak, C. et al. Epigenetic plasticity cooperates with cell-cell interactions to direct pancreatic tumorigenesis. Science 380, eadd5327 (2023). This report shows that heterogeneous cell states are primed for transformation through crosstalk with immune cells and chromatin remodelling.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  19. Wang, L. et al. The phenotypes of proliferating glioblastoma cells reside on a single axis of variation. Cancer Discov. 9, 1708–1719 (2019).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  20. Guilhamon, P. et al. Single-cell chromatin accessibility profiling of glioblastoma identifies an invasive cancer stem cell population associated with lower survival. eLife 10, e64090 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Wang, L. et al. A single-cell atlas of glioblastoma evolution under therapy reveals cell-intrinsic and cell-extrinsic therapeutic targets. Nat. Cancer 3, 1534–1552 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Regner, M. J. et al. A multi-omic single-cell landscape of human gynecologic malignancies. Mol. Cell 81, 4924–4941.e10 (2021).

    Article  PubMed  CAS  Google Scholar 

  23. Terekhanova, N. V. et al. Epigenetic regulation during cancer transitions across 11 tumour types. Nature 623, 432–441 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Harpaz, N. et al. Single-cell epigenetic analysis reveals principles of chromatin states in H3.3-K27M gliomas. Mol. Cell 82, 2696–2713.e9 (2022).

    Article  PubMed  CAS  Google Scholar 

  25. Pixberg, C. F. et al. Analysis of DNA methylation in single circulating tumor cells. Oncogene 36, 3223–3231 (2017).

    Article  PubMed  CAS  Google Scholar 

  26. Gkountela, S. et al. Circulating tumor cell clustering shapes DNA methylation to enable metastasis seeding. Cell 176, 98–112.e14 (2019).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Chen, H. et al. Single-cell DNA methylome analysis of circulating tumor cells. Chin. J. Cancer Res. 33, 391–404 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  28. Cheow, L. F. et al. Single-cell multimodal profiling reveals cellular epigenetic heterogeneity. Nat. Methods 13, 833–836 (2016).

    Article  PubMed  CAS  Google Scholar 

  29. Chaligne, R. et al. Epigenetic encoding, heritability and plasticity of glioma transcriptional cell states. Nat. Genet. 53, 1469–1479 (2021). This study showcases the use of single-cell multiomics to relate epigenomic changes to cell-state evolution.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Johnson, K. C. et al. Single-cell multimodal glioma analyses identify epigenetic regulators of cellular plasticity and environmental stress response. Nat. Genet. 53, 1456–1468 (2021). This study quantifies a DNA methylation disorder and its relationship to tumour evolution in glioma.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Satpathy, A. T. et al. Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion. Nat. Biotechnol. 37, 925–936 (2019). A large-scale scATAC-seq study of patient tumours that aims to understand the process of tumour evolution.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  32. Derrien, J. et al. Acquired resistance to a GPRC5D-directed T-cell engager in multiple myeloma is mediated by genetic or epigenetic target inactivation. Nat. Cancer 4, 1536–1543 (2023).

    Article  PubMed  Google Scholar 

  33. Wu, S. J. et al. Single-cell CUT&Tag analysis of chromatin modifications in differentiation and tumor progression. Nat. Biotechnol. 39, 819–824 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. Grosselin, K. et al. High-throughput single-cell ChIP–seq identifies heterogeneity of chromatin states in breast cancer. Nat. Genet. 51, 1060–1066 (2019).

    Article  PubMed  CAS  Google Scholar 

  35. Marsolier, J. et al. H3K27me3 conditions chemotolerance in triple-negative breast cancer. Nat. Genet. 54, 459–468 (2022). This study leverages histone modification profiles at single-cell resolution to propose a rationale for combining a histone demethylase inhibitor with chemotherapy to delay tumour recurrence.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Heumos, L. et al. Best practices for single-cell analysis across modalities. Nat. Rev. Genet. 24, 550–572 (2023).

    Article  PubMed  CAS  Google Scholar 

  37. Baek, S. & Lee, I. Single-cell ATAC sequencing analysis: from data preprocessing to hypothesis generation. Comput. Struct. Biotechnol. J. 18, 1429–1439 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  38. Marjanovic, N. D. et al. Emergence of a high-plasticity cell state during lung cancer evolution. Cancer Cell 38, 229–246.e13 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  39. Cui, H. et al. scGPT: toward building a foundation model for single-cell multi-omics using generative AI. Nat. Methods 21, 1470–1480 (2024).

    Article  PubMed  CAS  Google Scholar 

  40. Teschendorff, A. E. & Enver, T. Single-cell entropy for accurate estimation of differentiation potency from a cell’s transcriptome. Nat. Commun. 8, 15599 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Landau, D. A. et al. Locally disordered methylation forms the basis of intratumor methylome variation in chronic lymphocytic leukemia. Cancer Cell 26, 813–825 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Chan, J. M. et al. Lineage plasticity in prostate cancer depends on JAK/STAT inflammatory signaling. Science 377, 1180–1191 (2022). This report reveals that lineage plasticity in prostate cancer is responsible for resistance to antiandrogen receptor therapy.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  43. Tedesco, M. et al. Chromatin velocity reveals epigenetic dynamics by single-cell profiling of heterochromatin and euchromatin. Nat. Biotechnol. 40, 235–244 (2022).

    Article  PubMed  CAS  Google Scholar 

  44. Bartosovic, M. & Castelo-Branco, G. Multimodal chromatin profiling using nanobody-based single-cell CUT&Tag. Nat. Biotechnol. 41, 794–805 (2023).

    Article  PubMed  CAS  Google Scholar 

  45. Xiong, H., Wang, Q., Li, C. C. & He, A. Single-cell joint profiling of multiple epigenetic proteins and gene transcription. Sci. Adv. 10, eadi3664 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  46. Lochs, S. J. A. et al. Combinatorial single-cell profiling of major chromatin types with MAbID. Nat. Methods 21, 72–82 (2024).

    Article  PubMed  CAS  Google Scholar 

  47. Füllgrabe, J. et al. Simultaneous sequencing of genetic and epigenetic bases in DNA. Nat. Biotechnol. 41, 1457–1464 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  48. Hou, Y. et al. Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 26, 304–319 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  49. Bian, S. et al. Single-cell multiomics sequencing and analyses of human colorectal cancer. Science 362, 1060–1063 (2018).

    Article  PubMed  CAS  Google Scholar 

  50. Mazor, T. et al. DNA methylation and somatic mutations converge on cell cycle and define similar evolutionary histories in brain tumors. Cancer Cell 28, 307–317 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  51. Brocks, D. et al. Intratumor DNA methylation heterogeneity reflects clonal evolution in aggressive prostate cancer. Cell Rep. 8, 798–806 (2014).

    Article  PubMed  CAS  Google Scholar 

  52. Gaiti, F. et al. Epigenetic evolution and lineage histories of chronic lymphocytic leukaemia. Nature 569, 576–580 (2019).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  53. Lareau, C. A. et al. Massively parallel single-cell mitochondrial DNA genotyping and chromatin profiling. Nat. Biotechnol. 39, 451–461 (2021).

    Article  PubMed  CAS  Google Scholar 

  54. Wagner, D. E. & Klein, A. M. Lineage tracing meets single-cell omics: opportunities and challenges. Nat. Rev. Genet. 21, 410–427 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  55. Sankaran, V. G., Weissman, J. S. & Zon, L. I. Cellular barcoding to decipher clonal dynamics in disease. Science 378, eabm5874 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Serrano, A., Berthelet, J., Naik, S. H. & Merino, D. Mastering the use of cellular barcoding to explore cancer heterogeneity. Nat. Rev. Cancer 22, 609–624 (2022).

    Article  PubMed  CAS  Google Scholar 

  57. Nadalin, F. et al. Multi-omic lineage tracing predicts the transcriptional, epigenetic and genetic determinants of cancer evolution. Nat. Commun. 15, 7609 (2023).

    Article  Google Scholar 

  58. Rovira-Clavé, X. et al. Spatial epitope barcoding reveals clonal tumor patch behaviors. Cancer Cell 40, 1423–1439.e11 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  59. Dhainaut, M. et al. Spatial CRISPR genomics identifies regulators of the tumor microenvironment. Cell 185, 1223–1239.e20 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  60. Deng, Y. et al. Spatial-CUT&Tag: spatially resolved chromatin modification profiling at the cellular level. Science 375, 681–686 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  61. Hagemann-Jensen, M. et al. Single-cell RNA counting at allele and isoform resolution using Smart-seq3. Nat. Biotechnol. 38, 708–714 (2020).

    Article  PubMed  CAS  Google Scholar 

  62. Takayama, N. et al. The transition from quiescent to activated states in human hematopoietic stem cells is governed by dynamic 3D genome reorganization. Cell Stem Cell 28, 488–501.e10 (2021).

    Article  PubMed  CAS  Google Scholar 

  63. Llorens-Bobadilla, E. et al. Solid-phase capture and profiling of open chromatin by spatial ATAC. Nat. Biotechnol. 41, 1085–1088 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  64. Noberini, R. et al. Spatial epi-proteomics enabled by histone post-translational modification analysis from low-abundance clinical samples. Clin. Epigenetics 13, 145 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  65. Lu, T., Ang, C. E. & Zhuang, X. Spatially resolved epigenomic profiling of single cells in complex tissues. Cell 185, 4448–4464.e17 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  66. Deng, Y. et al. Spatial profiling of chromatin accessibility in mouse and human tissues. Nature 609, 375–383 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  67. Kind, J. et al. Genome-wide maps of nuclear lamina interactions in single human cells. Cell 163, 134–147 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  68. Ramani, V. et al. Massively multiplex single-cell Hi-C. Nat. Methods 14, 263–266 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  69. Pott, S. Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells. eLife 6, e23203 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  70. Dentro, S. C. et al. Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes. Cell 184, 2239–2254.e39 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  71. Jamal-Hanjani, M. et al. Tracking the evolution of non-small-cell lung cancer. N. Engl. J. Med 376, 2109–2121 (2017).

    Article  PubMed  CAS  Google Scholar 

  72. Espinoza Pereira, K. N., Shan, J., Licht, J. D. & Bennett, R. L. Histone mutations in cancer. Biochem. Soc. Trans. 51, 1749–1763 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  73. Turajlic, S. et al. Tracking cancer evolution reveals constrained routes to metastases: TRACERx Renal. Cell 173, 581–594.e12 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  74. Janssens, D. H. et al. Automated CUT&Tag profiling of chromatin heterogeneity in mixed-lineage leukemia. Nat. Genet. 53, 1586–1596 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  75. Béguelin, W. et al. EZH2 is required for germinal center formation and somatic EZH2 mutations promote lymphoid transformation. Cancer Cell 23, 677–692 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  76. Loukas, I. et al. Selective advantage of epigenetically disrupted cancer cells via phenotypic inertia. Cancer Cell 41, 70–87.e14 (2022).

    Article  PubMed  Google Scholar 

  77. Heide, T. et al. The co-evolution of the genome and epigenome in colorectal cancer. Nature 611, 733–743 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  78. Lambuta, R. A. et al. Whole-genome doubling drives oncogenic loss of chromatin segregation. Nature 615, 925–933 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  79. Roehrig, A. et al. Single-cell multiomics reveals the interplay of clonal evolution and cellular plasticity in hepatoblastoma. Nat. Commun. 15, 3031 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  80. Pavlova, N. N., Zhu, J. & Thompson, C. B. The hallmarks of cancer metabolism: still emerging. Cell Metab. 34, 355–377 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  81. Dai, Z., Ramesh, V. & Locasale, J. W. The evolving metabolic landscape of chromatin biology and epigenetics. Nat. Rev. Genet. 21, 737–753 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  82. Deblois, G. et al. Epigenetic switch-induced viral mimicry evasion in chemotherapy-resistant breast cancer. Cancer Discov. 10, 1312–1329 (2020). This paper describes the use of an EZH2 inhibitor combined with chemotherapy to resensitize a treatment-resistant tumour.

    Article  PubMed  CAS  Google Scholar 

  83. Chakraborty, A. A. et al. Histone demethylase KDM6A directly senses oxygen to control chromatin and cell fate. Science 363, 1217–1222 (2019).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  84. Batie, M. et al. Hypoxia induces rapid changes to histone methylation and reprograms chromatin. Science 363, 1222–1226 (2019).

    Article  PubMed  CAS  Google Scholar 

  85. Thienpont, B. et al. Tumour hypoxia causes DNA hypermethylation by reducing TET activity. Nature 537, 63–68 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  86. Michealraj, K. A. et al. Metabolic regulation of the epigenome drives lethal infantile ependymoma. Cell 181, 1329–1345.e24 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  87. Vaz, M. et al. Chronic cigarette smoke-induced epigenomic changes precede sensitization of bronchial epithelial cells to single-step transformation by KRAS mutations. Cancer Cell 32, 360–376.e6 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  88. Abu-Remaileh, M. et al. Chronic inflammation induces a novel epigenetic program that is conserved in intestinal adenomas and in colorectal cancer. Cancer Res. 75, 2120–2130 (2015).

    Article  PubMed  CAS  Google Scholar 

  89. Hansen, K. D. et al. Increased methylation variation in epigenetic domains across cancer types. Nat. Genet. 43, 768–775 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  90. Jenkinson, G., Pujadas, E., Goutsias, J. & Feinberg, A. P. Potential energy landscapes identify the information-theoretic nature of the epigenome. Nat. Genet. 49, 719–729 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  91. Fraga, M. F. et al. Epigenetic differences arise during the lifetime of monozygotic twins. Proc. Natl Acad. Sci. USA 102, 10604–10609 (2005).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  92. Tao, Y. et al. Aging-like spontaneous epigenetic silencing facilitates Wnt activation, stemness, and BrafV600E-induced tumorigenesis. Cancer Cell 35, 315–328.e6 (2019).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  93. Scherer, M. et al. Somatic epimutations enable single-cell lineage tracing in native hematopoiesis across the murine and human lifespan. Preprint at bioRxiv https://doi.org/10.1101/2024.04.01.587514 (2024).

  94. Almouzni, G. & Cedar, H. Maintenance of epigenetic information. Cold Spring Harb. Perspect. Biol. 8, a019372 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  95. Endicott, J. L., Nolte, P. A., Shen, H. & Laird, P. W. Cell division drives DNA methylation loss in late-replicating domains in primary human cells. Nat. Commun. 13, 6659 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  96. Thomas, S. L. et al. DNA strand asymmetry generated by CpG hemimethylation has opposing effects on CTCF binding. Nucleic Acids Res. 51, 5997–6005 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  97. Xu, C. & Corces, V. G. Nascent DNA methylome mapping reveals inheritance of hemimethylation at CTCF/cohesin sites. Science 359, 1166–1170 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  98. Papathanasiou, S. et al. Heritable transcriptional defects from aberrations of nuclear architecture. Nature 619, 184–192 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  99. Agustinus, A. S. et al. Epigenetic dysregulation from chromosomal transit in micronuclei. Nature 619, 176–183 (2023). Together with Papathanasiou et al. (2023), this paper reveals a role for micronuclei in the stochastic acquisition of chromatin variants.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  100. Burgess, R. J. & Zhang, Z. Histone chaperones in nucleosome assembly and human disease. Nat. Struct. Mol. Biol. 20, 14–22 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  101. Yang, J.-H. et al. Loss of epigenetic information as a cause of mammalian aging. Cell 186, 305–326.e27 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  102. Flavahan, W. A., Gaskell, E. & Bernstein, B. E. Epigenetic plasticity and the hallmarks of cancer. Science 357, eaal2380 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  103. Feinberg, A. P. & Levchenko, A. Epigenetics as a mediator of plasticity in cancer. Science 379, eaaw3835 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  104. Waddington, C. H. The Strategy of the Genes: a Discussion of Some Aspects of Theoretical Biology (Allen & Unwin, 1957).

  105. Teschendorff, A. E. & Feinberg, A. P. Statistical mechanics meets single-cell biology. Nat. Rev. Genet. 22, 459–476 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  106. Shaffer, S. M. et al. Rare cell variability and drug-induced reprogramming as a mode of cancer drug resistance. Nature 546, 431–435 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  107. Nguyen, A., Yoshida, M., Goodarzi, H. & Tavazoie, S. F. Highly variable cancer subpopulations that exhibit enhanced transcriptome variability and metastatic fitness. Nat. Commun. 7, 11246 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  108. Yang, D. et al. Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution. Cell 185, 1905–1923.e25 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  109. Bala, P. et al. Aberrant cell state plasticity mediated by developmental reprogramming precedes colorectal cancer initiation. Sci. Adv. 9, eadf0927 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  110. Fennell, K. A. et al. Non-genetic determinants of malignant clonal fitness at single-cell resolution. Nature 601, 125–131 (2022).

    Article  PubMed  CAS  Google Scholar 

  111. Franzetti, G.-A. et al. Cell-to-cell heterogeneity of EWSR1-FLI1 activity determines proliferation/migration choices in Ewing sarcoma cells. Oncogene 36, 3505–3514 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  112. Puisieux, A., Pommier, R. M., Morel, A.-P. & Lavial, F. Cellular pliancy and the multistep process of tumorigenesis. Cancer Cell 33, 164–172 (2018).

    Article  PubMed  CAS  Google Scholar 

  113. Small, E. J. et al. Characterization of neuroendocrine prostate cancer (NEPC) in patients with metastatic castration resistant prostate cancer (mCRPC) resistant to abiraterone (Abi) or enzalutamide (Enz): preliminary results from the SU2C/PCF/AACR West Coast Prostate Cancer Dream Team (WCDT). J. Clin. Oncol. 33, 5003 (2015).

    Article  Google Scholar 

  114. Tang, F. et al. Chromatin profiles classify castration-resistant prostate cancers suggesting therapeutic targets. Science 376, eabe1505 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  115. Ku, S. Y. et al. Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance. Science 355, 78–83 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  116. Mu, P. et al. SOX2 promotes lineage plasticity and antiandrogen resistance in TP53- and RB1-deficient prostate cancer. Science 355, 84–88 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  117. Zou, M. et al. Transdifferentiation as a mechanism of treatment resistance in a mouse model of castration-resistant prostate cancer. Cancer Discov. 7, 736–749 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  118. Magnani, L. et al. Genome-wide reprogramming of the chromatin landscape underlies endocrine therapy resistance in breast cancer. Proc. Natl Acad. Sci. USA 110, E1490–E1499 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  119. Rosano, D. et al. Long-term multimodal recording reveals epigenetic adaptation routes in dormant breast cancer cells. Cancer Discov. 14, 866–889 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  120. Magnani, L., Ballantyne, E. B., Zhang, X. & Lupien, M. PBX1 genomic pioneer function drives ERα signaling underlying progression in breast cancer. PLoS Genet. 7, e1002368 (2011).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  121. Teng, M., Zhou, S., Cai, C., Lupien, M. & He, H. H. Pioneer of prostate cancer: past, present and the future of FOXA1. Protein Cell 12, 29–38 (2021).

    Article  PubMed  CAS  Google Scholar 

  122. Zhang, Y. et al. Nucleation of DNA repair factors by FOXA1 links DNA demethylation to transcriptional pioneering. Nat. Genet. 48, 1003–1013 (2016).

    Article  PubMed  CAS  Google Scholar 

  123. Huyghe, A., Trajkova, A. & Lavial, F. Cellular plasticity in reprogramming, rejuvenation and tumorigenesis: a pioneer TF perspective. Trends Cell Biol. 34, 255–267 (2023).

    Article  PubMed  Google Scholar 

  124. Lindner, P. et al. EMT transcription factor ZEB1 alters the epigenetic landscape of colorectal cancer cells. Cell Death Dis. 11, 147 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  125. De Cock, J. M. et al. Inflammation triggers Zeb1-dependent escape from tumor latency. Cancer Res. 76, 6778–6784 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  126. Chaffer, C. L. et al. Poised chromatin at the ZEB1 promoter enables breast cancer cell plasticity and enhances tumorigenicity. Cell 154, 61–74 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  127. Falvo, D. J. et al. A reversible epigenetic memory of inflammatory injury controls lineage plasticity and tumor initiation in the mouse pancreas. Dev. Cell 58, 2959–2973.e7 (2023).

    Article  PubMed  CAS  Google Scholar 

  128. Gonzales, K. A. U. et al. Stem cells expand potency and alter tissue fitness by accumulating diverse epigenetic memories. Science 374, eabh2444 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  129. Alonso-Curbelo, D. et al. A gene–environment-induced epigenetic program initiates tumorigenesis. Nature 590, 642–648 (2021). This study showcases the interplay between genetic and chromatin variants occurring in transformation.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  130. Del Poggetto, E. et al. Epithelial memory of inflammation limits tissue damage while promoting pancreatic tumorigenesis. Science 373, eabj0486 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  131. LaFave, L. M. et al. Epigenomic state transitions characterize tumor progression in mouse lung adenocarcinoma. Cancer Cell 38, 212–228.e13 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  132. Levra Levron, C. et al. Tissue memory relies on stem cell priming in distal undamaged areas. Nat. Cell Biol. 25, 740–753 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  133. Karras, P. et al. A cellular hierarchy in melanoma uncouples growth and metastasis. Nature 610, 190–198 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  134. Chang, C. A. et al. Ontogeny and vulnerabilities of drug-tolerant persisters in HER2+ breast cancer. Cancer Discov. 12, 1022–1045 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  135. Dhimolea, E. et al. An embryonic diapause-like adaptation with suppressed Myc activity enables tumor treatment persistence. Cancer Cell 39, 240–256.e11 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  136. Rehman, S. K. et al. Colorectal cancer cells enter a diapause-like DTP state to survive chemotherapy. Cell 184, 226–242.e21 (2021).

    Article  PubMed  CAS  Google Scholar 

  137. Oren, Y. et al. Cycling cancer persister cells arise from lineages with distinct programs. Nature 596, 576–582 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  138. Ramirez, M. et al. Diverse drug-resistance mechanisms can emerge from drug-tolerant cancer persister cells. Nat. Commun. 7, 10690 (2016).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  139. Goyal, Y. et al. Diverse clonal fates emerge upon drug treatment of homogeneous cancer cells. Nature 620, 651–659 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  140. Morel, D., Jeffery, D., Aspeslagh, S., Almouzni, G. & Postel-Vinay, S. Combining epigenetic drugs with other therapies for solid tumours — past lessons and future promise. Nat. Rev. Clin. Oncol. 17, 91–107 (2020).

    Article  PubMed  CAS  Google Scholar 

  141. Abou-Alfa, G. K. et al. Ivosidenib in IDH1-mutant, chemotherapy-refractory cholangiocarcinoma (ClarIDHy): a multicentre, randomised, double-blind, placebo-controlled, phase 3 study. Lancet Oncol. 21, 796–807 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  142. Gounder, M. et al. Tazemetostat in advanced epithelioid sarcoma with loss of INI1/SMARCB1: an international, open-label, phase 2 basket study. Lancet Oncol. 21, 1423–1432 (2020).

    Article  PubMed  CAS  Google Scholar 

  143. Schrump, D. S. et al. Phase I study of decitabine-mediated gene expression in patients with cancers involving the lungs, esophagus, or pleura. Clin. Cancer Res. 12, 5777–5785 (2006).

    Article  PubMed  CAS  Google Scholar 

  144. Jones, P. A., Ohtani, H., Chakravarthy, A. & De Carvalho, D. D. Epigenetic therapy in immune-oncology. Nat. Rev. Cancer 19, 151–161 (2019).

    Article  PubMed  CAS  Google Scholar 

  145. Matei, D. et al. Epigenetic resensitization to platinum in ovarian cancer. Cancer Res. 72, 2197–2205 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  146. Jiang, Z. et al. Tucidinostat plus exemestane for postmenopausal patients with advanced, hormone receptor-positive breast cancer (ACE): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol. 20, 806–815 (2019).

    Article  PubMed  CAS  Google Scholar 

  147. Murphy, A. G. et al. Epigenetic priming prior to pembrolizumab in mismatch repair-proficient advanced colorectal cancer. J. Clin. Oncol. 37, 591 (2019).

    Article  Google Scholar 

  148. Hicks, K. C. et al. Epigenetic priming of both tumor and NK cells augments antibody-dependent cellular cytotoxicity elicited by the anti-PD-L1 antibody avelumab against multiple carcinoma cell types. Oncoimmunology 7, e1466018 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  149. Chiappinelli, K. B. et al. Inhibiting DNA methylation causes an interferon response in cancer via dsRNA including endogenous retroviruses. Cell 162, 974–986 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  150. Roulois, D. et al. DNA-demethylating agents target colorectal cancer cells by inducing viral mimicry by endogenous transcripts. Cell 162, 961–973 (2015). Together with Chiappinelli et al. (2015), this paper provides a rationale for combining epigenetic approaches and immunotherapies in cancer.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  151. Topper, M. J., Vaz, M., Marrone, K. A., Brahmer, J. R. & Baylin, S. B. The emerging role of epigenetic therapeutics in immuno-oncology. Nat. Rev. Clin. Oncol. 17, 75–90 (2020).

    Article  PubMed  Google Scholar 

  152. Hogg, S. J., Beavis, P. A., Dawson, M. A. & Johnstone, R. W. Targeting the epigenetic regulation of antitumour immunity. Nat. Rev. Drug Discov. 19, 776–800 (2020).

    Article  PubMed  CAS  Google Scholar 

  153. Hangauer, M. J. et al. Drug-tolerant persister cancer cells are vulnerable to GPX4 inhibition. Nature 551, 247–250 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  154. Viswanathan, V. S. et al. Dependency of a therapy-resistant state of cancer cells on a lipid peroxidase pathway. Nature 547, 453–457 (2017).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  155. Fong, C. Y. et al. BET inhibitor resistance emerges from leukaemia stem cells. Nature 525, 538–542 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  156. Sharma, S. V. et al. A chromatin-mediated reversible drug tolerant state in cancer cell subpopulations. Cell 141, 69–80 (2010). This work provides a rationale for combining epigenetic compounds with cancer therapies to prevent drug tolerance.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  157. Vinogradova, M. et al. An inhibitor of KDM5 demethylases reduces survival of drug-tolerant cancer cells. Nat. Chem. Biol. 12, 531–538 (2016).

    Article  PubMed  CAS  Google Scholar 

  158. Liau, B. B. et al. Adaptive chromatin remodeling drives glioblastoma stem cell plasticity and drug tolerance. Cell Stem Cell 20, 233–246.e7 (2017).

    Article  PubMed  CAS  Google Scholar 

  159. Rambow, F. et al. Toward minimal residual disease-directed therapy in melanoma. Cell 174, 843–855.e19 (2018).

    Article  PubMed  CAS  Google Scholar 

  160. Bell, C. C. et al. Targeting enhancer switching overcomes non-genetic drug resistance in acute myeloid leukaemia. Nat. Commun. 10, 2723 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  161. Hinohara, K. et al. KDM5 histone demethylase activity links cellular transcriptomic heterogeneity to therapeutic resistance. Cancer Cell 34, 939–953.e9 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  162. Webb, T., Craigon, C. & Ciulli, A. Targeting epigenetic modulators using PROTAC degraders: current status and future perspective. Bioorg. Med. Chem. Lett. 63, 128653 (2022).

    Article  PubMed  CAS  Google Scholar 

  163. Milazzo, F. M. et al. ErbB2 targeted epigenetic modulation: anti-tumor efficacy of the ADC trastuzumab-HDACi ST8176AA1. Front. Oncol. 9, 1534 (2019).

    Article  PubMed  Google Scholar 

  164. Cini, E. et al. Antibody drug conjugates (ADCs) charged with HDAC inhibitor for targeted epigenetic modulation. Chem. Sci. 9, 6490–6496 (2018).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  165. Stunnenberg, H. G. et al. The International Human Epigenome Consortium: a blueprint for scientific collaboration and discovery. Cell 167, 1145–1149 (2016).

    Article  PubMed  CAS  Google Scholar 

  166. Landau, D.-A. et al. Increased local disorder of DNA methylation forms the basis of high intra-leukemic epigenetic heterogeneity and enhances CLL evolution. Blood 122, 596 (2013).

    Article  Google Scholar 

  167. Guo, H. et al. Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing. Genome Res. 23, 2126–2135 (2013).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  168. Smallwood, S. A. et al. Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity. Nat. Methods 11, 817–820 (2014).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  169. Farlik, M. et al. Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics. Cell Rep. 10, 1386–1397 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  170. Han, L. et al. Bisulfite-independent analysis of CpG island methylation enables genome-scale stratification of single cells. Nucleic Acids Res. 45, e77 (2017).

    PubMed  PubMed Central  CAS  Google Scholar 

  171. Shareef, S. J. et al. Extended-representation bisulfite sequencing of gene regulatory elements in multiplexed samples and single cells. Nat. Biotechnol. 39, 1086–1094 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  172. Grants, J. M. et al. Altered microRNA expression links IL6 and TNF-induced inflammaging with myeloid malignancy in humans and mice. Blood 135, 2235–2251 (2020).

    Article  PubMed  Google Scholar 

  173. Meir, Z., Mukamel, Z., Chomsky, E., Lifshitz, A. & Tanay, A. Single-cell analysis of clonal maintenance of transcriptional and epigenetic states in cancer cells. Nat. Genet. 52, 709–718 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  174. Huang, K. K. et al. Genomic and epigenomic profiling of high-risk intestinal metaplasia reveals molecular determinants of progression to gastric cancer. Cancer Cell 33, 137–150.e5 (2018).

    Article  PubMed  CAS  Google Scholar 

  175. Niemöller, C. et al. Bisulfite-free epigenomics and genomics of single cells through methylation-sensitive restriction. Commun. Biol. 4, 153 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  176. Hunt, K. V. et al. scTEM-seq: single-cell analysis of transposable element methylation to link global epigenetic heterogeneity with transcriptional programs. Sci. Rep. 12, 5776 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  177. Akhtar-Zaidi, B. et al. Epigenomic enhancer profiling defines a signature of colon cancer. Science 336, 736–739 (2012).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  178. Corces, M. R. et al. The chromatin accessibility landscape of primary human cancers. Science 362, eaav1898 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  179. Buenrostro, J. D. et al. Single-cell chromatin accessibility reveals principles of regulatory variation. Nature 523, 486–490 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  180. Cusanovich, D. A. et al. Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing. Science 348, 910–914 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  181. Xu, K. et al. Single-cell RNA sequencing reveals cell heterogeneity and transcriptome profile of breast cancer lymph node metastasis. Oncogenesis 10, 66 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  182. Kumegawa, K. et al. GRHL2 motif is associated with intratumor heterogeneity of cis-regulatory elements in luminal breast cancer. npj Breast Cancer 8, 70 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  183. Kim, H. et al. Single-cell transcriptional and epigenetic profiles of male breast cancer nominate salient cancer-specific enhancers. Int. J. Mol. Sci. 24, 13053 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  184. Mei, Y. et al. Single-cell analyses reveal suppressive tumor microenvironment of human colorectal cancer. Clin. Transl. Med. 11, e422 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  185. Li, S. et al. Chromatin accessibility dynamics in colorectal cancer liver metastasis: uncovering the liver tropism at single cell resolution. Pharmacol. Res. 195, 106896 (2023).

    Article  PubMed  CAS  Google Scholar 

  186. Sun, X. et al. Single-cell analyses reveal cannabidiol rewires tumor microenvironment via inhibiting alternative activation of macrophage and synergizes with anti-PD-1 in colon cancer. J. Pharm. Anal. 13, 726–744 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  187. Liu, Z. et al. Single-cell chromatin accessibility analysis reveals the epigenetic basis and signature transcription factors for the molecular subtypes of colorectal cancers. Cancer Discov. 14, 1082–1105 (2024).

    Article  PubMed  Google Scholar 

  188. Babikir, H. et al. ATRX regulates glial identity and the tumor microenvironment in IDH-mutant glioma. Genome Biol. 22, 311 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  189. Nikolic, A. et al. Copy-scAT: deconvoluting single-cell chromatin accessibility of genetic subclones in cancer. Sci. Adv. 7, eabg6045 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  190. Frede, J. et al. Dynamic transcriptional reprogramming leads to immunotherapeutic vulnerabilities in myeloma. Nat. Cell Biol. 23, 1199–1211 (2021).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  191. Leblay, N. et al. Integrated epigenetic and transcriptional single-cell analysis of t(11;14) multiple myeloma and its BCL2 dependency. Blood 143, 42–56 (2024).

    Article  PubMed  CAS  Google Scholar 

  192. Poos, A. M. et al. Resolving therapy resistance mechanisms in multiple myeloma by multiomics subclone analysis. Blood 142, 1633–1646 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  193. John, L. et al. Resolving the spatial architecture of myeloma and its microenvironment at the single-cell level. Nat. Commun. 14, 5011 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  194. Yamagishi, M. et al. Mechanisms of action and resistance in histone methylation-targeted therapy. Nature 627, 221–228 (2024).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  195. Liu, L. et al. Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity. Nat. Commun. 10, 470 (2019).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  196. Anadon, C. M. et al. Ovarian cancer immunogenicity is governed by a narrow subset of progenitor tissue-resident memory T cells. Cancer Cell 40, 545–557.e13 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  197. Foster, D. S. et al. Multiomic analysis reveals conservation of cancer associated fibroblast phenotypes across species and tissue of origin. Cancer Cell 40, 1392–1406.e7 (2022).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  198. Liu, N. Q. et al. SMARCB1 loss activates patient-specific distal oncogenic enhancers in malignant rhabdoid tumors. Nat. Commun. 14, 7762 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  199. Raviram, R. et al. Integrated analysis of single-cell chromatin state and transcriptome identified common vulnerability despite glioblastoma heterogeneity. Proc. Natl Acad. Sci. USA 120, e2210991120 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  200. Turkalj, S. et al. GTAC enables parallel genotyping of multiple genomic loci with chromatin accessibility profiling in single cells. Cell Stem Cell 30, 722–740.e11 (2023).

    Article  PubMed  CAS  Google Scholar 

  201. Lambo, S. et al. A longitudinal single-cell atlas of treatment response in pediatric AML. Cancer Cell 41, 2117–2135.e12 (2023).

    Article  PubMed  CAS  Google Scholar 

  202. Kundaje, A. et al. Integrative analysis of 111 reference human epigenomes. Nature 518, 317–330 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  203. Rotem, A. et al. Single-cell ChIP–seq reveals cell subpopulations defined by chromatin state. Nat. Biotechnol. 33, 1165–1172 (2015).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  204. Bartosovic, M., Kabbe, M. & Castelo-Branco, G. Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues. Nat. Biotechnol. 39, 825–835 (2021). This paper introduces single-cell histone modification profiling to the cancer community with a user-friendly adaptation of scCUT&Tag to 10X technology.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  205. Lim, J. et al. Transitioning single-cell genomics into the clinic. Nat. Rev. Genet. 24, 573–584 (2023).

    Article  PubMed  CAS  Google Scholar 

  206. Slyper, M. et al. A single-cell and single-nucleus RNA-seq toolbox for fresh and frozen human tumors. Nat. Med. 26, 792–802 (2020).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  207. Zou, D.-D. et al. Single-cell sequencing highlights heterogeneity and malignant progression in actinic keratosis and cutaneous squamous cell carcinoma. eLife 12, e85270 (2023).

    Article  PubMed  PubMed Central  CAS  Google Scholar 

Download references

Acknowledgements

The authors thank O. Delattre, F. Gaiti, J. Marsolier and M. Schwartz for critical reading of the manuscript. The authors’ research work is supported by the Canadian Institute of Health Research (grants FRN-153234, FRN-158225, FRN-168933 and FRN-191847 to M. Lupien), the Ontario Institute for Cancer Research Investigator Award through funding provided by the Government of Ontario (IA-031 to M. Lupien), the Princess Margaret Cancer Foundation (to M. Lupien), the Joey and Toby Tanenbaum/Brazilian Ball Chair (to M. Lupien), the Fondation Bettencourt Schueller (to M. Laisné and C.V.), SiRIC-Curie program grants no. INCa-DGOS-4654 and no. INCa-DGOS-INSERM-12554 (to C.V.) and the European Research Council Horizon 2020 program (StG Chromtrace #948528, to C.V.).

Author information

Authors and Affiliations

Authors

Contributions

The authors contributed equally to all aspects of the article.

Corresponding authors

Correspondence to Mathieu Lupien or Céline Vallot.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Reviews Cancer thanks Yael David, Rohit Chandwani and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Glossary

Basin of attraction

The set of initial cell states that all cells can reach.

Chromatin variants

Altered chromatin states over nucleosomes or neighbouring nucleosomes with reference epigenomes that define physiological cell states.

Epi-clones

Also known as epigenetic clones. Cells or group of cells with shared heritable chromatin variants.

Epigenomic heterogeneity

The display of different sets of chromatin variants within a given cell population.

Epigenomic instability

The incapacity of cells to maintain the integrity of epigenomic marks over time.

Epigenomic marks

Chemical modifications of chromatin (a DNA and protein complex) that can be either transient or heritable (epigenetic) and define chromatin states based on their combination at the nucleosome or over neighbouring nucleosomes.

Epigenomic reprogramming

Active acquisition of chromatin variants in response to external stimuli, which can adapt gene expression programmes and alter phenotypic states.

Epigenomic stochasticity

Random biological changes to the epigenome of a cell over time that might either be tolerated or lead to changes in cell function.

Pioneer factors

Transcription factors with the unique ability to initiate opening of closed chromatin.

Pliancy

The capacity of a cell to tolerate genetic and/or chromatin variants without altering its state and related functions.

Potency

The capacity of a cell to access multiple gene expression programmes and cell states, which can be estimated through single-cell epigenomics.

Proteolysis-targeting chimeras

(PROTACs). Highly specific bifunctional molecules with two functional moieties connected by a linker that degrade unwanted or harmful proteins in cells.

Tagmentation

A transposome-mediated reaction that combines tagging and DNA fragmentation into a single, rapid reaction.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Laisné, M., Lupien, M. & Vallot, C. Epigenomic heterogeneity as a source of tumour evolution. Nat Rev Cancer 25, 7–26 (2025). https://doi.org/10.1038/s41568-024-00757-9

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41568-024-00757-9

Search

Quick links

Nature Briefing: Cancer

Sign up for the Nature Briefing: Cancer newsletter — what matters in cancer research, free to your inbox weekly.

Get what matters in cancer research, free to your inbox weekly. Sign up for Nature Briefing: Cancer