Abstract
The human genome is organized into multiple structural layers, ranging from chromosome territories to progressively smaller substructures, such as topologically associating domains (TADs) and chromatin loops. These substructures, collectively referred to as long-range chromatin interactions (LRIs), have a significant role in regulating gene expression. TADs are regions of the genome that harbour groups of genes and regulatory elements that frequently interact with each other and are insulated from other regions, thereby preventing widespread uncontrolled DNA contacts. Chromatin loops formed within TADs through enhancer and promoter interactions are elastic, allowing transcriptional heterogeneity and stochasticity. Over the past decade, it has become evident that the 3D genome structure, also referred to as the chromatin architecture, is central to many transcriptional cellular decisions. In this Review, we delve into the intricate relationship between steroid receptors and LRIs, discussing how steroid receptors interact with and modulate these chromatin interactions. Genetic alterations in the many processes involved in organizing the nuclear architecture are often associated with the development of hormone-dependent cancers. A better understanding of the interplay between architectural proteins and hormone regulatory networks can ultimately be exploited to develop improved approaches for cancer treatment.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Rent or buy this article
Prices vary by article type
from$1.95
to$39.95
Prices may be subject to local taxes which are calculated during checkout




References
Wahl, G. M. & Spike, B. T. Cell state plasticity, stem cells, EMT, and the generation of intra-tumoral heterogeneity. NPJ Breast Cancer 3, 14 (2017).
Dixon, J. R., Gorkin, D. U. & Ren, B. Chromatin domains: the unit of chromosome organization. Mol. Cell 62, 668–680 (2016).
Dixon, J. R. et al. Topological domains in mammalian genomes identified by analysis of chromatin interactions. Nature 485, 376–380 (2012).
Nora, E. P. et al. Spatial partitioning of the regulatory landscape of the X-inactivation centre. Nature 485, 381–385 (2012).
Sexton, T. et al. Three-dimensional folding and functional organization principles of the Drosophila genome. Cell 148, 458–472 (2012).
Sanborn, A. L. et al. Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes. Proc. Natl Acad. Sci. USA 112, E6456–E6465 (2015).
Bonev, B. & Cavalli, G. Organization and function of the 3D genome. Nat. Rev. Genet. 17, 772 (2016).
Dowen, J. M. et al. Control of cell identity genes occurs in insulated neighborhoods in mammalian chromosomes. Cell 159, 374–387 (2014).
Fudenberg, G. et al. Formation of chromosomal domains by loop extrusion. Cell Rep. 15, 2038–2049 (2016).
Rao, S. S. et al. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell 159, 1665–1680 (2014).
Bailey, S. D. et al. ZNF143 provides sequence specificity to secure chromatin interactions at gene promoters. Nat. Commun. 2, 6186 (2015).
Heidari, N. et al. Genome-wide map of regulatory interactions in the human genome. Genome Res. 24, 1905–1917 (2014).
Achinger-Kawecka, J., Taberlay, P. C. & Clark, S. J. Alterations in three-dimensional organization of the cancer genome and epigenome. Cold Spring Harb. Symp. Quant. Biol. 81, 41–51 (2016).
Rhie, S. K. et al. A high-resolution 3D epigenomic map reveals insights into the creation of the prostate cancer transcriptome. Nat. Commun. 10, 4154 (2019). Together with Taberlay et al., this paper observes the presence of altered TAD boundaries and 3D disorganization of the prostate cancer genome.
Levine, D. A. et al. Integrated genomic characterization of endometrial carcinoma. Nature 497, 67–73 (2013).
Waldman, T. Emerging themes in cohesin cancer biology. Nat. Rev. Cancer 20, 504–515 (2020).
Dixon, J. R. et al. Integrative detection and analysis of structural variation in cancer genomes. Nat. Genet. 50, 1388–1398 (2018).
Hnisz, D. et al. Activation of proto-oncogenes by disruption of chromosome neighborhoods. Science 351, 1454–1458 (2016).
Yi, E., Chamorro Gonzalez, R., Henssen, A. G. & Verhaak, R. G. W. Extrachromosomal DNA amplifications in cancer. Nat. Rev. Genet. 23, 760–771 (2022).
Taberlay, P. C. et al. Three-dimensional disorganization of the cancer genome occurs coincident with long-range genetic and epigenetic alterations. Genome Res. 26, 719–731 (2016). Together with Rhie et al., this paper observes the presence of altered TAD boundaries and 3D disorganization of the prostate cancer genome.
D’Ippolito, A. M. et al. Pre-established chromatin interactions mediate the genomic response to glucocorticoids. Cell Syst. 7, 146–160 e147 (2018).
McDowell, I. C. et al. Glucocorticoid receptor recruits to enhancers and drives activation by motif-directed binding. Genome Res. 28, 1272–1284 (2018).
Stavreva, D. A. et al. Dynamics of chromatin accessibility and long-range interactions in response to glucocorticoid pulsing. Genome Res. 25, 845–857 (2015).
Hakim, O. et al. Diverse gene reprogramming events occur in the same spatial clusters of distal regulatory elements. Genome Res. 21, 697–706 (2011). This study, together with Stavreva et al. and Kuznetsova et al. provide evidence that treatment with glucocorticoids induces the formation of stable subnuclear compartments, in which chromatin interactions are strengthened in a hormone-dependent manner.
Kuznetsova, T. et al. Glucocorticoid receptor and nuclear factor kappa-b affect three-dimensional chromatin organization. Genome Biol. 16, 264 (2015). This study, together with Hakim et al. and Stavreva et al. provide evidence that treatment with glucocorticoids induces the formation of stable subnuclear compartments, in which chromatin interactions are strengthened in a hormone-dependent manner.
Stavreva, D. A. & Hager, G. L. Chromatin structure and gene regulation: a dynamic view of enhancer function. Nucleus 6, 442–448 (2015). This study, together with Hakim et al. and Kuznetsova et al. provide evidence that treatment with glucocorticoids induces the formation of stable subnuclear compartments, in which chromatin interactions are strengthened in a hormone-dependent manner.
Finn, E. H. et al. Extensive heterogeneity and intrinsic variation in spatial genome organization. Cell 176, 1502–1515.e1510 (2019).
Ghavi-Helm, Y. et al. Highly rearranged chromosomes reveal uncoupling between genome topology and gene expression. Nat. Genet. 51, 1272–1282 (2019).
Wang, H. et al. Glucocorticoid receptor wields chromatin interactions to tune transcription for cytoskeleton stabilization in podocytes. Commun. Biol. 4, 675 (2021).
Rinaldi, L. et al. The glucocorticoid receptor associates with the cohesin loader NIPBL to promote long-range gene regulation. Sci. Adv. 8, eabj8360 (2022). This pioneering study reveals a novel interaction (direct or indirect) between the GR and the cohesin loader NIPBL, shedding light on their collaborative role in LRI during gene expression.
Garcia, D. A. et al. An intrinsically disordered region-mediated confinement state contributes to the dynamics and function of transcription factors. Mol. Cell 81, 1484–1498 e1486 (2021).
Papachristou, E. K. et al. A quantitative mass spectrometry-based approach to monitor the dynamics of endogenous chromatin-associated protein complexes. Nat. Commun. 9, 2311 (2018).
Shen, M. M. & Abate-Shen, C. Molecular genetics of prostate cancer: new prospects for old challenges. Genes Dev. 24, 1967–2000 (2010).
Chng, K. R. & Cheung, E. Sequencing the transcriptional network of androgen receptor in prostate cancer. Cancer Lett. 340, 254–260 (2013).
Sung, Y. Y. & Cheung, E. Androgen receptor co-regulatory networks in castration-resistant prostate cancer. Endocr. Relat. Cancer 21, R1–R11 (2014).
Tran, C. et al. Development of a second-generation antiandrogen for treatment of advanced prostate cancer. Science 324, 787–790 (2009).
Clegg, N. J. et al. ARN-509: a novel antiandrogen for prostate cancer treatment. Cancer Res. 72, 1494–1503 (2012).
Massie, C. E. et al. The androgen receptor fuels prostate cancer by regulating central metabolism and biosynthesis. EMBO J. 30, 2719–2733 (2011).
Toropainen, S. et al. Global analysis of transcription in castration-resistant prostate cancer cells uncovers active enhancers and direct androgen receptor targets. Sci. Rep. 6, 33510 (2016).
DePrimo, S. E. et al. Transcriptional programs activated by exposure of human prostate cancer cells to androgen. Genome Biol. 3, RESEARCH0032 (2002).
Yu, J. et al. An integrated network of androgen receptor, polycomb, and TMPRSS2-ERG gene fusions in prostate cancer progression. Cancer Cell 17, 443–454 (2010).
Chng, K. R. et al. A transcriptional repressor co-regulatory network governing androgen response in prostate cancers. EMBO J. 31, 2810–2823 (2012).
Zhang, Z. et al. An AR-ERG transcriptional signature defined by long-range chromatin interactomes in prostate cancer cells. Genome Res. 29, 223–235 (2019).
Kumar-Sinha, C., Tomlins, S. A. & Chinnaiyan, A. M. Recurrent gene fusions in prostate cancer. Nat. Rev. Cancer 8, 497–511 (2008).
Elemento, O., Rubin, M. A. & Rickman, D. S. Oncogenic transcription factors as master regulators of chromatin topology: a new role for ERG in prostate cancer. Cell Cycle 11, 3380–3383 (2012).
Tomlins, S. A. et al. Recurrent fusion of TMPRSS2 and ETS transcription factor genes in prostate cancer. Science 310, 644–648 (2005).
Wu, D., Zhang, C., Shen, Y., Nephew, K. P. & Wang, Q. Androgen receptor-driven chromatin looping in prostate cancer. Trends Endocrinol. Metab. 22, 474–480 (2011).
Siersbaek, R., Kumar, S. & Carroll, J. S. Signaling pathways and steroid receptors modulating estrogen receptor alpha function in breast cancer. Genes Dev. 32, 1141–1154 (2018).
Bonéy-Montoya, J., Ziegler, Y. S., Curtis, C. D., Montoya, J. A. & Nardulli, A. M. Long-range transcriptional control of progesterone receptor gene expression. Mol. Endocrinol. 24, 346–358 (2010).
Paakinaho, V., Swinstead, E. E., Presman, D. M., Grøntved, L. & Hager, G. L. Meta-analysis of chromatin programming by steroid receptors. Cell Rep. 28, 3523–3534.e3522 (2019).
Fullwood, M. J. et al. An oestrogen-receptor-α-bound human chromatin interactome. Nature 462, 58–64 (2009).
Rodriguez, J. et al. Intrinsic dynamics of a human gene reveal the basis of expression heterogeneity. Cell 176, 213–226.e218 (2019).
Le Dily, F. et al. Hormone-control regions mediate steroid receptor-dependent genome organization. Genome Res. 29, 29–39 (2019). Together with Le Dily et al. (2014), this paper offers evidence that oestrogen stimulation leads to an increase in the number of intra- and inter-chromosomal interactions highlighting the role of HCRs as modular and dynamic units in SR-dependent genome organization.
Fiorito, E. et al. CTCF modulates estrogen receptor function through specific chromatin and nuclear matrix interactions. Nucleic Acids Res. 44, 10588–10602 (2016).
Le Dily, F. & Beato, M. TADs as modular and dynamic units for gene regulation by hormones. FEBS Lett. 589, 2885–2892 (2015).
Le Dily, F. et al. Distinct structural transitions of chromatin topological domains correlate with coordinated hormone-induced gene regulation. Genes Dev. 28, 2151–2162 (2014). Together with Le Dily et al. (2019), this paper offers evidence that oestrogen stimulation leads to an increase in the number of intra- and inter-chromosomal interactions highlighting the role of HCRs as modular and dynamic units in SR-dependent genome organization.
Mourad, R. et al. Estrogen induces global reorganization of chromatin structure in human breast cancer cells. PLoS ONE 9, e113354 (2014).
Hsu, P. Y. et al. Amplification of distant estrogen response elements deregulates target genes associated with tamoxifen resistance in breast cancer. Cancer Cell 24, 197–212 (2013).
Zhou, Y. et al. Temporal dynamic reorganization of 3D chromatin architecture in hormone-induced breast cancer and endocrine resistance. Nat. Commun. 10, 1522 (2019).
Lydon, J. P. et al. Mice lacking progesterone receptor exhibit pleiotropic reproductive abnormalities. Genes Dev. 9, 2266–2278 (1995).
Miyamoto, T. et al. Significance of progesterone receptor-A and -B expressions in endometrial adenocarcinoma. J. Steroid Biochem. Mol. Biol. 92, 111–118 (2004).
Ishikawa, H. et al. Progesterone is essential for maintenance and growth of uterine leiomyoma. Endocrinology 151, 2433–2442 (2010).
Ballare, C. et al. Nucleosome-driven transcription factor binding and gene regulation. Mol. Cell 49, 67–79 (2013).
Yin, P. et al. Genome-wide progesterone receptor binding: cell type-specific and shared mechanisms in T47D breast cancer cells and primary leiomyoma cells. PLoS ONE 7, e29021 (2012).
Dinh, D. T. et al. Tissue-specific progesterone receptor-chromatin binding and the regulation of progesterone-dependent gene expression. Sci. Rep. 9, 11966 (2019).
La Greca, A. et al. Chromatin topology defines estradiol-primed progesterone receptor and PAX2 binding in endometrial cancer cells. eLife 11, e66034 (2022).
Hsu, P. Y. et al. Estrogen-mediated epigenetic repression of large chromosomal regions through DNA looping. Genome Res. 20, 733–744 (2010).
Groner, A. C. & Brown, M. Role of steroid receptor and coregulator mutations in hormone-dependent cancers. J. Clin. Invest. 127, 1126–1135 (2017).
Katainen, R. et al. CTCF/cohesin-binding sites are frequently mutated in cancer. Nat. Genet. 47, 818–821 (2015). This paper reveals that mutations in cohesin and CTCF DNA binding sites occur at a higher frequency in cancer cells.
Leiserson, M. D. et al. Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nat. Genet. 47, 106–114 (2015).
Kon, A. et al. Recurrent mutations in multiple components of the cohesin complex in myeloid neoplasms. Nat. Genet. 45, 1232–1237 (2013). This study, together with Tirode et al. and Solomon et al. establish a connection between mutations in genes encoding cohesin subunits and the development of cancer.
Solomon, D. A. et al. Mutational inactivation of STAG2 causes aneuploidy in human cancer. Science 333, 1039–1043 (2011). This study, together with Kon et al. and Tirode et al. establish a connection between mutations in genes encoding cohesin subunits and the development of cancer.
Tirode, F. et al. Genomic landscape of Ewing sarcoma defines an aggressive subtype with co-association of STAG2 and TP53 mutations. Cancer Discov. 4, 1342–1353 (2014). This study, together with Kon et al. and Solomon et al. establish a connection between mutations in genes encoding cohesin subunits and the development of cancer.
Flavahan, W. A. et al. Altered chromosomal topology drives oncogenic programs in SDH-deficient GISTs. Nature 575, 229–233 (2019).
Flavahan, W. A. et al. Insulator dysfunction and oncogene activation in IDH mutant gliomas. Nature 529, 110–114 (2016).
Northcott, P. A. et al. Enhancer hijacking activates GFI1 family oncogenes in medulloblastoma. Nature 511, 428–434 (2014).
Affer, M. et al. Promiscuous MYC locus rearrangements hijack enhancers but mostly super-enhancers to dysregulate MYC expression in multiple myeloma. Leukemia 28, 1725–1735 (2014).
Valton, A. L. & Dekker, J. TAD disruption as oncogenic driver. Curr. Opin. Genet. Dev. 36, 34–40 (2016).
Yang, M. et al. Enhancer RNAs mediate estrogen-induced decommissioning of selective enhancers by recruiting ERα and its cofactor. Cell Rep. 31, 107803 (2020).
Haller, F. et al. Enhancer hijacking activates oncogenic transcription factor NR4A3 in acinic cell carcinomas of the salivary glands. Nat. Commun. 10, 368 (2019).
Li, W. et al. Condensin I and II complexes license full estrogen receptor alpha-dependent enhancer activation. Mol. Cell 59, 188–202 (2015).
Shin, H. Y. et al. Hierarchy within the mammary STAT5-driven Wap super-enhancer. Nat. Genet. 48, 904–911 (2016).
Hoffman, J. A. et al. Multimodal regulatory elements within a hormone-specific super enhancer control a heterogeneous transcriptional response. Mol. Cell 82, 803–815 e805 (2022).
Shin, Y. & Brangwynne, C. P. Liquid phase condensation in cell physiology and disease. Science 357, eaaf4382 (2017).
Bhat, P., Honson, D. & Guttman, M. Nuclear compartmentalization as a mechanism of quantitative control of gene expression. Nat. Rev. Mol. Cell Biol. 22, 653–670 (2021).
Sabari, B. R. et al. Coactivator condensation at super-enhancers links phase separation and gene control. Science 361, eaar3958 (2018). This pioneering work demonstrates that transcriptional coactivators undergo phase separation to form condensates at SEs linking phase separation to gene control.
Boija, A. et al. Transcription factors activate genes through the phase-separation capacity of their activation domains. Cell 175, 1842–1855 e1816 (2018).
Nair, S. J. et al. Phase separation of ligand-activated enhancers licenses cooperative chromosomal enhancer assembly. Nat. Struct. Mol. Biol. 26, 193–203 (2019).
Muscat, G. E. et al. Research resource: nuclear receptors as transcriptome: discriminant and prognostic value in breast cancer. Mol. Endocrinol. 27, 350–365 (2013).
Kohler, B. A. et al. Annual report to the nation on the status of cancer, 1975-2011, featuring incidence of breast cancer subtypes by race/ethnicity, poverty, and state. J. Natl Cancer Inst. 107, djv048 (2015).
Miano, V. et al. Luminal lncRNAs regulation by ERα-controlled enhancers in a ligand-independent manner in breast cancer cells. Int. J. Mol. Sci. 19, 593 (2018).
Barbour, J. A. & Wong, J. W. H. in Clinical Epigenetics (eds Hesson, L. B. & Pritchard, A. L.) 173–192 (Springer, 2019).
Sur, I. & Taipale, J. The role of enhancers in cancer. Nat. Rev. Cancer 16, 483–493 (2016).
Yang, J. et al. Recurrent mutations at estrogen receptor binding sites alter chromatin topology and distal gene expression in breast cancer. Genome Biol. 19, 190 (2018).
Nik-Zainal, S. et al. Landscape of somatic mutations in 560 breast cancer whole-genome sequences. Nature 534, 47–54 (2016).
Ross-Innes, C. S. et al. Differential oestrogen receptor binding is associated with clinical outcome in breast cancer. Nature 481, 389–393 (2012).
Ghoussaini, M. et al. Multiple loci with different cancer specificities within the 8q24 gene desert. J. Natl Cancer Inst. 100, 962–966 (2008).
Haiman, C. A. et al. Multiple regions within 8q24 independently affect risk for prostate cancer. Nat. Genet. 39, 638–644 (2007).
Yeager, M. et al. Genome-wide association study of prostate cancer identifies a second risk locus at 8q24. Nat. Genet. 39, 645–649 (2007).
Gudmundsson, J. et al. Genome-wide association study identifies a second prostate cancer susceptibility variant at 8q24. Nat. Genet. 39, 631–637 (2007).
Ahmadiyeh, N. et al. 8q24 prostate, breast, and colon cancer risk loci show tissue-specific long-range interaction with MYC. Proc. Natl Acad. Sci. USA 107, 9742–9746 (2010).
Sotelo, J. et al. Long-range enhancers on 8q24 regulate c-Myc. Proc. Natl Acad. Sci. USA 107, 3001–3005 (2010).
Rae, J. M. et al. GREB 1 is a critical regulator of hormone dependent breast cancer growth. Breast Cancer Res. Treat. 92, 141–149 (2005).
Hodgkinson, K. et al. GREB1 is an estrogen receptor-regulated tumour promoter that is frequently expressed in ovarian cancer. Oncogene 37, 5873–5886 (2018).
Rae, J. M. et al. GREB1 is a novel androgen-regulated gene required for prostate cancer growth. Prostate 66, 886–894 (2006).
Deschenes, J., Bourdeau, V., White, J. H. & Mader, S. Regulation of GREB1 transcription by estrogen receptor alpha through a multipartite enhancer spread over 20 kb of upstream flanking sequences. J. Biol. Chem. 282, 17335–17339 (2007).
Rodriguez, A. C., Blanchard, Z., Maurer, K. A. & Gertz, J. Estrogen signaling in endometrial cancer: a key oncogenic pathway with several open questions. Horm. Cancer 10, 51–63 (2019).
Hewitt, S. C., Grimm, S. A., Wu, S. P., DeMayo, F. J. & Korach, K. S. Estrogen receptor α (ERα)-binding super-enhancers drive key mediators that control uterine estrogen responses in mice. J. Biol. Chem. 295, 8387–8400 (2020).
Debaugny, R. E. & Skok, J. A. CTCF and CTCFL in cancer. Curr. Opin. Genet. Dev. 61, 44–52 (2020).
Rubio-Perez, C. et al. In silico prescription of anticancer drugs to cohorts of 28 tumor types reveals targeting opportunities. Cancer Cell 27, 382–396 (2015).
Gonzalez-Perez, A. et al. IntOGen-mutations identifies cancer drivers across tumor types. Nat. Methods 10, 1081–1082 (2013).
Aitken, S. J. et al. CTCF maintains regulatory homeostasis of cancer pathways. Genome Biol. 19, 106 (2018).
Kar, S. P. et al. Genome-wide meta-analyses of breast, ovarian, and prostate cancer association studies identify multiple new susceptibility loci shared by at least two cancer types. Cancer Discov. 6, 1052–1067 (2016).
Heinlein, C. A. & Chang, C. Androgen receptor in prostate cancer. Endocr. Rev. 25, 276–308 (2004).
Hawley, J. R. et al. Reorganization of the 3D genome pinpoints noncoding drivers of primary prostate tumors. Cancer Res. 81, 5833–5848 (2021).
Robinson, D. et al. Integrative clinical genomics of advanced prostate cancer. Cell 161, 1215–1228 (2015).
Quigley, D. A. et al. Genomic hallmarks and structural variation in metastatic prostate cancer. Cell 174, 758–769 e759 (2018).
Hsieh, C. L. et al. Enhancer RNAs participate in androgen receptor-driven looping that selectively enhances gene activation. Proc. Natl Acad. Sci. USA 111, 7319–7324 (2014).
Seo, W. Y. et al. CCAR1 promotes chromatin loading of androgen receptor (AR) transcription complex by stabilizing the association between AR and GATA2. Nucleic Acids Res. 41, 8526–8536 (2013).
Ramanand, S. G. et al. The landscape of RNA polymerase II-associated chromatin interactions in prostate cancer. J. Clin. Invest. 130, 3987–4005 (2020).
Takeda, D. Y. et al. A somatically acquired enhancer of the androgen receptor is a noncoding driver in advanced prostate cancer. Cell 174, 422–432.e413 (2018).
Viswanathan, S. R. et al. Structural alterations driving castration-resistant prostate cancer revealed by linked-read genome sequencing. Cell 174, 433–447 e419 (2018).
San Martin, R. et al. Chromosome compartmentalization alterations in prostate cancer cell lines model disease progression. J. Cell Biol. 221, e202104108 (2022).
Ulm, M. et al. Therapeutic advances in hormone-dependent cancers: focus on prostate, breast and ovarian cancers. Endocr. Connect. 8, R10–R26 (2019).
Crawford, E. D. et al. Androgen-targeted therapy in men with prostate cancer: evolving practice and future considerations. Prostate Cancer Prostatic Dis. 22, 24–38 (2019).
Karan, D., Holzbeierlein, J. M., Van Veldhuizen, P. & Thrasher, J. B. Cancer immunotherapy: a paradigm shift for prostate cancer treatment. Nat. Rev. Urol. 9, 376–385 (2012).
Sakamoto, K. M. et al. Protacs: chimeric molecules that target proteins to the Skp1-Cullin-F box complex for ubiquitination and degradation. Proc. Natl Acad. Sci. USA 98, 8554–8559 (2001). Establishes PROTAC as a powerful tool for protein degradation.
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05177042 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT03888612 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05067140 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05654623 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05573555 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05548127 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05549505 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05501769 (2023).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT04072952 (2023).
Xiao, L. et al. Targeting SWI/SNF ATPases in enhancer-addicted prostate cancer. Nature 601, 434–439 (2022).
Zhang, L., Riley-Gillis, B., Vijay, P. & Shen, Y. Acquired resistance to BET-PROTACs (proteolysis-targeting chimeras) caused by genomic alterations in core components of E3 ligase complexes. Mol. Cancer Ther. 18, 1302–1311 (2019).
Ottis, P. et al. Cellular resistance mechanisms to targeted protein degradation converge toward impairment of the engaged ubiquitin transfer pathway. ACS Chem. Biol. 14, 2215–2223 (2019).
Deng, W. et al. Controlling long-range genomic interactions at a native locus by targeted tethering of a looping factor. Cell 149, 1233–1244 (2012). Together with Hao et al., Deng et al. (2014) and Morgan et al., this study demonstrates the use of gene editing techniques, particularly CRISPR–Cas9-based methods, to manipulate nuclear architecture and induce targeted looping of genomic regions, effectively controlling gene expression.
Deng, W. et al. Reactivation of developmentally silenced globin genes by forced chromatin looping. Cell 158, 849–860 (2014). Together with Deng et al. (2012), Hao et al. and Morgan et al., this study demonstrates the use of gene editing techniques, particularly CRISPR–Cas9-based methods, to manipulate nuclear architecture and induce targeted looping of genomic regions, effectively controlling gene expression.
Morgan, S. L. et al. Manipulation of nuclear architecture through CRISPR-mediated chromosomal looping. Nat. Commun. 8, 15993 (2017). Together with Deng et al. (2012), Deng et al. (2014) and Hao et al., this study demonstrates the use of gene editing techniques, particularly CRISPR–Cas9-based methods, to manipulate nuclear architecture and induce targeted looping of genomic regions, effectively controlling gene expression.
Hao, N., Shearwin, K. E. & Dodd, I. B. Programmable DNA looping using engineered bivalent dCas9 complexes. Nat. Commun. 8, 1628 (2017). Together with Deng et al. (2012), Deng et al. (2014) and Morgan et al., this study demonstrates the use of gene editing techniques, particularly CRISPR–Cas9-based methods, to manipulate nuclear architecture and induce targeted looping of genomic regions, effectively controlling gene expression.
Guo, Y. et al. CRISPR-mediated deletion of prostate cancer risk-associated CTCF loop anchors identifies repressive chromatin loops. Genome Biol. 19, 160 (2018).
Liu, X. S. et al. Editing DNA methylation in the mammalian genome. Cell 167, e217 (2016).
Sapozhnikov, D. M. & Szyf, M. Enzyme-free targeted DNA demethylation using CRISPR-dCas9-based steric hindrance to identify DNA methylation marks causal to altered gene expression. Nat. Protoc. 17, 2840–2881 (2022).
Tarjan, D. R., Flavahan, W. A. & Bernstein, B. E. Epigenome editing strategies for the functional annotation of CTCF insulators. Nat. Commun. 10, 4258 (2019).
Wei, C. et al. CRISPR/Cas9 targeting of the androgen receptor suppresses the growth of LNCaP human prostate cancer cells. Mol. Med. Rep. 17, 2901–2906 (2018).
Ryu, J. K. et al. Bridging-induced phase separation induced by cohesin SMC protein complexes. Sci. Adv. 7, eabe5905 (2021).
Lee, R. et al. CTCF-mediated chromatin looping provides a topological framework for the formation of phase-separated transcriptional condensates. Nucleic Acids Res. 50, 207–226 (2022).
Mitrea, D. M., Mittasch, M., Gomes, B. F., Klein, I. A. & Murcko, M. A. Modulating biomolecular condensates: a novel approach to drug discovery. Nat. Rev. Drug Discov. 21, 841–862 (2022).
Gamliel, A. et al. Long-distance association of topological boundaries through nuclear condensates. Proc. Natl Acad. Sci. USA 119, e2206216119 (2022). This study, together with Ulianov et al., provides compelling evidence for the impact of 1,6-HD on the organization of the 3D genome architecture in living cells.
Ulianov, S. V. et al. Suppression of liquid-liquid phase separation by 1,6-hexanediol partially compromises the 3D genome organization in living cells. Nucleic Acids Res. 49, 10524–10541 (2021). This study, together with Gamliel et al., provides compelling evidence for the impact of 1,6-HD on the organization of the 3D genome architecture in living cells.
Liu, X. et al. Time-dependent effect of 1,6-hexanediol on biomolecular condensates and 3D chromatin organization. Genome Biol. 22, 230 (2021).
Frank, F., Liu, X. & Ortlund, E. A. Glucocorticoid receptor condensates link DNA-dependent receptor dimerization and transcriptional transactivation. Proc. Natl Acad. Sci. USA 118, e2024685118 (2021).
Stortz, M., Pecci, A., Presman, D. M. & Levi, V. Unraveling the molecular interactions involved in phase separation of glucocorticoid receptor. BMC Biol. 18, 59 (2020).
Stortz, M. et al. SOX2 modulates the nuclear organization and transcriptional activity of the glucocorticoid receptor. J. Mol. Biol. 434, 167869 (2022).
Munoz-Gil, G. et al. Stochastic particle unbinding modulates growth dynamics and size of transcription factor condensates in living cells. Proc. Natl Acad. Sci. USA 119, e2200667119 (2022).
Zhang, F. et al. Dynamic phase separation of the androgen receptor and its coactivators key to regulate gene expression. Nucleic Acids Res. 51, 99–116 (2023).
Xie, J. et al. Targeting androgen receptor phase separation to overcome antiandrogen resistance. Nat. Chem. Biol. 18, 1341–1350 (2022).
Basu, S. et al. Rational optimization of a transcription factor activation domain inhibitor. Preprint at bioRxiv, https://www.biorxiv.org/content/10.1101/2022.08.18.504385v2 (2022).
Basu, S. et al. Unblending of transcriptional condensates in human repeat expansion disease. Cell 181, 1062–1079.e1030 (2020). This study, together with Mensah et al. and Ahn et al., demonstrates that the presence of disease-associated genetic alterations within IDRs of proteins compromises phase separation.
Ahn, J. H. et al. Phase separation drives aberrant chromatin looping and cancer development. Nature 595, 591–595 (2021). This study, together with Basu et al. (2020) and Mensah et al., demonstrates that the presence of disease-associated genetic alterations within IDRs of proteins compromises phase separation.
Mensah, M. A. et al. Aberrant phase separation and nucleolar dysfunction in rare genetic diseases. Nature 614, 564–571 (2023). This study, together with Basu et al (2020) and Ahn et al., demonstrates that the presence of disease-associated genetic alterations within IDRs of proteins compromises phase separation.
Watson, P. A., Arora, V. K. & Sawyers, C. L. Emerging mechanisms of resistance to androgen receptor inhibitors in prostate cancer. Nat. Rev. Cancer 15, 701–711 (2015).
De Mol, E. et al. EPI-001, a compound active against castration-resistant prostate cancer, targets transactivation unit 5 of the androgen receptor. ACS Chem. Biol. 11, 2499–2505 (2016).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT04421222 (2022).
US National Library of Medicine. ClinicalTrials.gov https://ClinicalTrials.gov/show/NCT05075577 (2023).
Zhang, T., Karsh, L. I., Nissenblatt, M. J. & Canfield, S. E. Androgen receptor splice variant, AR-V7, as a biomarker of resistance to androgen axis-targeted therapies in advanced prostate cancer. Clin. Genitourin. Cancer 18, 1–10 (2020).
Kallio, H. M. L. et al. Constitutively active androgen receptor splice variants AR-V3, AR-V7 and AR-V9 are co-expressed in castration-resistant prostate cancer metastases. Br. J. Cancer 119, 347–356 (2018).
Ban, F. et al. Development of an androgen receptor inhibitor targeting the N-terminal domain of androgen receptor for treatment of castration resistant prostate cancer. Cancers 13, 3488 (2021).
Gravina, G. L. et al. 5-Azacitidine restores and amplifies the bicalutamide response on preclinical models of androgen receptor expressing or deficient prostate tumors. Prostate 70, 1166–1178 (2010).
Yoshida, K. et al. The landscape of somatic mutations in Down syndrome-related myeloid disorders. Nat. Genet. 45, 1293–1299 (2013).
Bradner, J. E., Hnisz, D. & Young, R. A. Transcriptional addiction in cancer. Cell 168, 629–643 (2017).
Chen, Z. et al. Androgen receptor-activated enhancers simultaneously regulate oncogene TMPRSS2 and lncRNA PRCAT38 in prostate cancer. Cells 8, 864 (2019).
Zhang, Y. et al. Analysis of the androgen receptor-regulated lncRNA landscape identifies a role for ARLNC1 in prostate cancer progression. Nat. Genet. 50, 814–824 (2018).
Takayama, K. I., Fujimura, T., Suzuki, Y. & Inoue, S. Identification of long non-coding RNAs in advanced prostate cancer associated with androgen receptor splicing factors. Commun. Biol. 3, 393 (2020).
Elbarbary, R. A., Lucas, B. A. & Maquat, L. E. Retrotransposons as regulators of gene expression. Science 351, aac7247 (2016).
Zhang, Y. et al. Transcriptionally active HERV-H retrotransposons demarcate topologically associating domains in human pluripotent stem cells. Nat. Genet. 51, 1380–1388 (2019).
Sexton, C. E., Tillett, R. L. & Han, M. V. The essential but enigmatic regulatory role of HERVH in pluripotency. Trends Genet. 38, 12–21 (2022).
Lander, E. S. et al. Initial sequencing and analysis of the human genome. Nature 409, 860–921 (2001).
Rodic, N. et al. Long interspersed element-1 protein expression is a hallmark of many human cancers. Am. J. Pathol. 184, 1280–1286 (2014).
Goering, W., Ribarska, T. & Schulz, W. A. Selective changes of retroelement expression in human prostate cancer. Carcinogenesis 32, 1484–1492 (2011).
Goering, W. et al. Human endogenous retrovirus HERV-K(HML-2) activity in prostate cancer is dominated by a few loci. Prostate 75, 1958–1971 (2015).
Tao, R. H. et al. Testicular zinc finger protein recruits histone deacetylase 2 and suppresses the transactivation function and intranuclear foci formation of agonist-bound androgen receptor competitively with TIF2. Mol. Cell Endocrinol. 247, 150–165 (2006).
Kaufmann, S. et al. Human endogenous retrovirus protein Rec interacts with the testicular zinc-finger protein and androgen receptor. J. Gen. Virol. 91, 1494–1502 (2010).
Ruprecht, K., Mayer, J., Sauter, M., Roemer, K. & Mueller-Lantzsch, N. Endogenous retroviruses and cancer. Cell Mol. Life Sci. 65, 3366–3382 (2008).
Nguyen, T. D., Davis, J., Eugenio, R. A. & Liu, Y. Female sex hormones activate human endogenous retrovirus type K through the OCT4 transcription factor in T47D breast cancer cells. AIDS Res. Hum. Retroviruses 35, 348–356 (2019).
Johanning, G. L. et al. Expression of human endogenous retrovirus-K is strongly associated with the basal-like breast cancer phenotype. Sci. Rep. 7, 41960 (2017).
Zhou, F. et al. Activation of HERV-K Env protein is essential for tumorigenesis and metastasis of breast cancer cells. Oncotarget 7, 84093–84117 (2016).
Acknowledgements
This research was supported in part by the Intramural Research Program of the NIH, National Cancer Institute, Center for Cancer Research. The authors thank C. A. Meehan, NIH, and members of the NIH fellows editorial board for critical reading of the manuscript.
Author information
Authors and Affiliations
Contributions
T.T.T. conducted extensive data research for the article, authored the manuscript and played a pivotal part in reviewing and editing the manuscript. T.T.T. also assumes responsibility for all aspects of the article. L.R. made significant contributions to the initial draft of the manuscript. G.L.H. contributed to the manuscript by editing it, incorporating additional content and providing valuable mentoring and supervision throughout the process.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Reviews Cancer thanks Trevor Archer 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.
Related links
cBioPortal: https://www.cbioportal.org/
Glossary
- 1,6-hexanediol
-
A chemical compound commonly used as a protein denaturant and solvent that disrupts interactions between biomolecules and influences their conformation and function.
- Chromatin compartments
-
Subdivisions of chromosome territories based on their transcriptional activity, histone modification and gene density. Compartment A is mostly transcriptionally active while compartment B is often repressed.
- Chromatin landscape
-
The overall pattern of chromatin modifications, including histone modifications and DNA methylation.
- Chromatin loops
-
Long-range interactions formed when segments of the DNA, such as enhancer or promoter, on the same chromosome are in close physical proximity to each other. Chromatin loops are held in place by architectural proteins such as CCCTC binding factor (CTCF) and the cohesin complex.
- CLOuD9
-
A CRISPR-based system that uses nuclease-deficient Cas9 (dCas9) to achieve reversible, precise control of gene expression through targeted forced juxtaposition of any two genomic loci.
- Condensates
-
Liquid-like droplets or membrane-less organelles formed through the process of liquid–liquid phase separation by the concentration of intrinsically disordered region-bearing transcription factors and nucleic acids.
- Confinement state
-
A condition in which biomolecules are restricted within a defined space, which often results in altered molecular interactions and functional outcomes.
- Crowding agent
-
A substance or condition that mimics the densely packed environment found in cells, influencing the behaviour and properties of biomolecules and cellular processes.
- dCas9–Zip
-
A modified version of the CRISPR-associated protein dCas9 fused with a peptide that allows for targeted recruitment of specific proteins or molecules to a desired genomic location.
- Enhancer hijacking
-
Misplacement of enhancers caused by genomic rearrangements, such as translocations or inversions, leading to the disruption of topologically associating domain structures and resulting in aberrant expression of oncogenes or downregulation of tumour suppressor genes.
- Enhancer RNAs
-
(eRNAs). A class of long non-coding RNAs (lncRNAs) transcribed from the DNA sequence of enhancer regions.
- Genomic output
-
A process by which changes in the 3D genome structure, including alterations in the positioning of chromatin domains and changes in chromatin interactions, can result in changes to gene expression and cellular function.
- Global run-on sequencing
-
(GRO-seq). An assay to map and quantify nascent transcription by sequencing RNA that is actively being synthesized.
- Hi-C
-
A genome-wide sequencing approach that allows detection of chromatin interactions in the nucleus by cross-linking and sequencing proximity ligation products.
- Hormone-control regions
-
(HCRs). A cluster of specific DNA sequences, often enhancers and promoters, that are recognized and bound by hormone receptors to regulate hormone-responsive genes.
- Hormone deprivation therapy
-
Use of surgery or drug administration to lower the levels of a hormone in hormone-dependent cancers.
- Intrinsically disordered regions
-
(IDRs). Protein regions characterized by their lack of stable secondary or tertiary structure, often involved in protein–protein interactions, signalling and regulation.
- Long-range chromatin interactions
-
(LRIs). Physical interactions between proximal and distal genomic elements, either on the same chromosome or between distinct chromosomes, that interact with higher frequency than expected and are important in transcriptional regulation of genes.
- Loop extrusions
-
The process by which DNA loops are formed and regulated by molecular machinery, enabling spatial organization and gene regulation within the chromatin.
- Mediator complex
-
A multisubunit protein complex that regulates RNA polymerase II transcription by assembling at the pre-initiation complex and transducing signals from activators bound to enhancer regions to the transcription machinery.
- Micro-C
-
An enhanced version of Hi-C that addresses the limitations of traditional Hi-C by incorporating a micrococcal nuclease digestion step to investigate the proximity of nucleosome pairs, resulting in improved resolution and signal-to-noise ratio.
- Nuclear lamina
-
A mesh-like network of proteins that lines the inner nuclear membrane, providing structural support to the nucleus and participating in gene regulation and chromatin organization.
- Phase separation
-
A process by which biomolecules form distinct liquid-like droplets through either electrostatic, hydrophobic or bivalent interactions.
- Response elements
-
Specific DNA sequences to which transcription factors bind to either activate or repress transcription of cognate genes.
- Super-enhancer loops
-
Chromatin loops formed when super-enhancers are in close physical proximity to their target gene promoters.
- Super-enhancers
-
Regions of the genome that contain clusters of enhancers that drive high levels of gene expression, typically associated with crucial cellular processes and disease states.
- Steroid receptors
-
Intracellular receptors that bind to steroid hormones such as cortisol, oestrogen, progesterone and testosterone. Upon binding to hormone, the receptor undergoes a conformational change that enables it to translocate to the nucleus where it binds to a response DNA element to regulate gene expression.
- Topologically associating domains
-
(TADs). Discrete regions of the genome often spanning tens or hundreds of kilobases with high frequency of self-associating contact, enclosed by CCCTC binding factor (CTCF) and cohesin-containing boundaries. TADs are insulated from neighbouring discrete genomic regions to prevent widespread uncontrolled DNA contacts.
- Transcription activator-like effector nucleases
-
Enzymes engineered from bacterial proteins that can be used for precise gene editing, targeting specific DNA sequences for modification.
- Zinc finger (ZF) gene editing tools
-
Synthetic proteins or nucleases engineered to bind and modify DNA at specific sequences using ZF motifs, allowing precise genome editing.
Rights and permissions
About this article
Cite this article
Tettey, T.T., Rinaldi, L. & Hager, G.L. Long-range gene regulation in hormone-dependent cancer. Nat Rev Cancer 23, 657–672 (2023). https://doi.org/10.1038/s41568-023-00603-4
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41568-023-00603-4