Copy number alterations unmasked as enhancer hijackers
Abstract
Our understanding of how DNA copy number changes contribute to disease, including cancer, has to a large degree been focused on the changes in gene dosage that they generate and has neglected the effects of the DNA rearrangements that lead to their formation. A new study reports an innovative analytical framework for copy number alterations that are oncogenic primarily owing to the genomic rearrangements that underlie them.
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The integrity of domain structures is important for the proper regulation of genes.
“Therefore, the integrity of the domain structures is important for the proper regulation of genes8–12.”
From Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer (2020) · cites this paper as [12]
Cites
Comprehensive molecular characterization of human colon and rectal cancer
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11252 · Cited by 8,499 · see citing works
Recurrent Fusion of <i>TMPRSS2</i> and ETS Transcription Factor Genes in Prostate Cancer
Tomlins, S. A., Rhodes, D. R., Perner, S., Dhanasekaran, S. M., Mehra, R., Sun, X.-W., Varambally, S., Cao, X., Tchinda, J., Kuefer, R., et al. (2005) · Science · doi:10.1126/science.1117679 · Cited by 3,846 · see citing works
Massive genomic rearrangement acquired in a single catastrophic event during cancer development
Stephens, P. J., Greenman, C. D., Fu, B., Yang, F., Bignell, G. R., Mudie, L. J., Pleasance, E. D., Lau, K. W., Beare, D., Stebbings, L. A., et al. (2011) · Cell · doi:10.1016/j.cell.2010.11.055 · Cited by 2,414 · see citing works
Pan-cancer patterns of somatic copy number alteration
Zack, T. I., Schumacher, S. E., Carter, S. L., Cherniack, A. D., Saksena, G., Tabak, B., Lawrence, M. S., Zhang, C., Wala, J. A., Mermel, C. H., et al. (2013) · Nature Genetics · doi:10.1038/ng.2760 · Cited by 1,843 · see citing works
Self-citationPunctuated Evolution of Prostate Cancer Genomes
Baca, S. C., Prandi, D., Lawrence, M. S., Mosquera, J. M., Romanel, A., Drier, Y., Park, K., Kitabayashi, N., MacDonald, T. Y., Ghandi, M., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.021 · Cited by 1,299 · see citing works
Self-citationActivation of proto-oncogenes by disruption of chromosome neighborhoods
Hnisz, D., Weintraub, A. S., Day, D. S., Valton, A.-L., Bak, R. O., Li, C. H., Goldmann, J., Lajoie, B. R., Fan, Z. P., Sigova, A. A., et al. (2016) · Science · doi:10.1126/science.aad9024 · Cited by 1,042 · see citing works
Enhancer function: new insights into the regulation of tissue-specific gene expression
Ong, C.-T., & Corces, V. G. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2957 · Cited by 929 · see citing works
Structural alterations of the epidermal growth factor receptor gene in human gliomas.
Wong, A. J., Ruppert, J. M., Bigner, S. H., Grzeschik, C. H., Humphrey, P. A., Bigner, D. S., & Vogelstein, B. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.7.2965 · Cited by 851 · see citing works
Battey, J., Moulding, C. T., Taub, R. A., Murphy, W., Stewart, T. A., Potter, H., Lenoir, G., & Leder, P. (1983) · Cell · doi:10.1016/0092-8674(83)90534-2 · Cited by 714 · see citing works
A Single Oncogenic Enhancer Rearrangement Causes Concomitant EVI1 and GATA2 Deregulation in Leukemia
Gröschel, S., Sanders, M. A., Hoogenboezem, R., de Wit, E., Bouwman, B. A. M., Erpelinck, C., van der Velden, V. H. J., Havermans, M., Avellino, R., van Lom, K., et al. (2014) · Cell · doi:10.1016/j.cell.2014.02.019 · Cited by 687 · see citing works
Enhancer hijacking activates GFI1 family oncogenes in medulloblastoma
Northcott, P. A., Lee, C., Zichner, T., Stütz, A. M., Erkek, S., Kawauchi, D., Shih, D. J. H., Hovestadt, V., Zapatka, M., Sturm, D., et al. (2014) · Nature · doi:10.1038/nature13379 · Cited by 642 · see citing works
Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control
Hnisz, D., Day, D. S., & Young, R. A. (2016) · Cell · doi:10.1016/j.cell.2016.10.024 · Cited by 420 · see citing works
Weischenfeldt, J., Dubash, T., Drainas, A. P., Mardin, B. R., Chen, Y., Stütz, A. M., Waszak, S. M., Bosco, G., Halvorsen, A. R., Raeder, B., et al. (2017) · Nature Genetics · doi:10.1038/ng.3722 · Cited by 404 · see citing works
Identification of focally amplified lineage-specific super-enhancers in human epithelial cancers
Zhang, X., Choi, P. S., Francis, J. M., Imielinski, M. B., Watanabe, H., Cherniack, A. D., & Meyerson, M. M. (2015) · Nature Genetics · doi:10.1038/ng.3470 · Cited by 341 · see citing works
Self-citationMYB-QKI rearrangements in angiocentric glioma drive tumorigenicity through a tripartite mechanism
Bandopadhayay, P., Ramkissoon, L. A., Jain, P., Bergthold, G., Wala, J. A., Zeid, R., Schumacher, S. E., Urbanski, L. M., O’Rourke, R., Gibson, W. J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3500 · Cited by 273 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The role of 3D genome organization in development and cell differentiation
Zheng, H., & Xie, W. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0132-4 · Cited by 711 · see citing works
Functional Enhancers Shape Extrachromosomal Oncogene Amplifications
Morton, A. R., Dogan-Artun, N., Faber, Z. J., MacLeod, G. D. A. H., Bartels, C. F., Piazza, M. S., Allan, K. C., Mack, S. C., Wang, X., Gimple, R. C., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.039 · Cited by 336 · see citing works
Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer
Akdemir, K. C., Le, V. T., Chandran, S., Li, Y., Verhaak, R. G., Beroukhim, R., Campbell, P. J., Chin, L., Dixon, J. R., Futreal, P. A., et al. (2020) · Nature Genetics · doi:10.1038/s41588-019-0564-y · Cited by 283 · see citing works
Self-citationEnhancer selectivity in space and time: from enhancer–promoter interactions to promoter activation
Yang, J. H., & Hansen, A. S. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00710-6 · Cited by 191 · see citing works
Zhang, X., Choi, P. S., Francis, J. M., Gao, G. F., Campbell, J. D., Ramachandran, A., Mitsuishi, Y., Ha, G., Shih, J., Vázquez, F., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0532 · Cited by 123 · see citing works
Self-citationChromatin features constrain structural variation across evolutionary timescales
Fudenberg, G., & Pollard, K. S. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1808631116 · Cited by 106 · see citing works
Single-cell analysis of structural variations and complex rearrangements with tri-channel processing
Sanders, A. D., Meiers, S., Ghareghani, M., Porubskỳ, D., Jeong, H., Vliet, A. V., Rausch, T., Richter‐Pechańska, P., Kunz, J. B., Jenni, S., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0366-x · Cited by 95 · see citing works
Structural Variation in Cancer: Role, Prevalence, and Mechanisms
Cosenza, M. R., Rodríguez–Martín, B., & Korbel, J. O. (2022) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-120121-101149 · Cited by 92 · see citing works
When TADs go bad: Chromatin structure and nuclear organisation in human disease
Kaiser, V. B., & Semple, C. A. (2017) · F1000Research · doi:10.12688/f1000research.10792.1 · Cited by 64 · see citing works
Chromatin Conformation in Development and Disease
Boltsis, I., Grosveld, F. G., Giraud, G., & Kolovos, P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.723859 · Cited by 56 · see citing works
Ain, Q., Schmeer, C. W., Wengerodt, D., Witte, O. W., & Kretz, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072477 · Cited by 51 · see citing works
Structural variants shape driver combinations and outcomes in pediatric high-grade glioma
Dubois, F. P. B., Shapira, O., Greenwald, N. F., Zack, T. I., Wala, J. A., Tsai, J. W., Crane, A., Baguette, A., Hadjadj, D., Harutyunyan, A. S., et al. (2022) · Nature Cancer · doi:10.1038/s43018-022-00403-z · Cited by 39 · see citing works
Self-citationEnhancer dysfunction in leukemia
Bhagwat, A. S., Lu, B., & Vakoc, C. R. (2018) · Blood · doi:10.1182/blood-2017-11-737379 · Cited by 44 · see citing works
Willi, M., Yoo, K. H., Reinisch, F., Kuhns, T. M., Lee, H., Wang, C., & Hennighausen, L. G. (2017) · Nature Communications · doi:10.1038/ncomms16069 · Cited by 36 · see citing works
Effective normalization for copy number variation in Hi-C data
Servant, N., Varoquaux, N., Heard, E., Barillot, E., & Vert, J.-P. (2017) · BMC Bioinformatics · doi:10.1186/s12859-018-2256-5 · Cited by 34 · see citing works
Revisiting 3D chromatin architecture in cancer development and progression
Feng, Y., & Pauklin, S. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa747 · Cited by 36 · see citing works
A unifying model for extrachromosomal circular DNA load in eukaryotic cells
Arrey, G., Keating, S. T., & Regenberg, B. (2022) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2022.03.002 · Cited by 33 · see citing works
Enhancer-gene rewiring in the pathogenesis of Quebec Platelet Disorder
Liang, M., Soomro, A., Tasneem, S., Abatti, L. E., Alizada, A., Yuan, X., Uusküla-Reimand, L., Antounians, L., Alvi, S. A., Paterson, A. D., et al. (2020) · Blood · doi:10.1182/blood.2020005394 · Cited by 28 · see citing works
Gene Fusions Create Partner and Collateral Dependencies Essential to Cancer Cell Survival
Gillani, R., Seong, B. K. A., Crowdis, J. P., Conway, J. R., Dharia, N. V., Alimohamed, S. I., Haas, B. J., Han, K., Park, J., Dietlein, F., et al. (2021) · Cancer Research · doi:10.1158/0008-5472.can-21-0791 · Cited by 25 · see citing works
Chen, X., Bai, X., Liu, H., Zhao, B., Yan, Z., Hou, Y., & Chu, Q. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.830393 · Cited by 28 · see citing works
Yang, H., He, J., Huang, S., Yang, H., Yi, Q., Tao, Y., Chen, M., Zhang, X., & Qi, H. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.780779 · Cited by 26 · see citing works
Self-citationMikulášová, A., Kent, D., Trevisán-Herraz, M., Karataraki, N., Fung, K. T. M., Ashby, C., Cieślak, A., Yaccoby, S., van Rhee, F., Zangari, M., et al. (2021) · Genome Research · doi:10.1101/gr.276042.121 · Cited by 22 · see citing works
Hung, S., Saiakhova, A., Faber, Z. J., Bartels, C. F., Neu, D., Bayles, I., Ojo, E. O., Hong, E. S., Pontius, W., Morton, A. R., et al. (2019) · eLife · doi:10.7554/elife.40760 · Cited by 22 · see citing works
DANESHPOUR, M. S., Hedayati, M., Sedaghati-khayat, B., Guity, K., Zarkesh, M., Akbarzadeh, M., Javanrooh, N., Zadeh–Vakili, A., & Azizi, F. (2018) · Intern J Endocrinol Metab · doi:10.5812/ijem.84744 · Cited by 11 · see citing works
G-Quadruplex Matters in Tissue-Specific Tumorigenesis by BRCA1 Deficiency
Kim, S., & Hwang, S. (2022) · Genes · doi:10.3390/genes13030391 · Cited by 8 · see citing works
Genomic copy number gains of ErbB family members predict poor clinical outcomes in glioma patients
Liu, R., Qu, Y., Chen, L., Pu, J., Ma, S., Zhang, X., Yang, Q., Shi, B., Hou, P., & Ji, M. (2017) · Oncotarget · doi:10.18632/oncotarget.21228 · Cited by 7 · see citing works
Self-citationKhalil, A. I. S., Muzaki, S. R. B. M., Chattopadhyay, A., & Sanyal, A. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-03832-8 · Cited by 7 · see citing works
Luo, F. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-3266-7 · Cited by 7 · see citing works
Effective normalization for copy number variation in Hi-C dataPreprint
Servant, N., Varoquaux, N., Heard, É., Vert, J., & Barillot, E. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/167031 · Cited by 3 · see citing works
Chromatin interaction maps identify oncogenic targets of enhancer duplications in cancerPreprint
Song, Y., Li, F., Wang, S., Wang, Y., Lai, C., Chen, L., Jiang, N., Li, J., Chen, X., Bailey, S. D., et al. (2024) · Genome Research · doi:10.1101/gr.278418.123 · Cited by 2 · see citing works
Self-citationZhang, X., Cui, B., Li, Y., Li, Z., Zheng, J., Chu, X., Xiao, P., Lu, J., Wang, Z., Cen, J., et al. (2023) · International Journal of Hematology · doi:10.1007/s12185-023-03619-6 · Cited by 1 · see citing works
Self-citationStructural variation drives enhancer hijacking via 3D genome disruption in ccRCC
Dong, Y., Xia, W., Yang, Z.-T., Ren, L., Wang, H.-R., Zhou, Y.-Y., Li, Q.-C., Chen, Z., Xia, Z., Zheng, Y., et al. (2026) · npj Digital Medicine · doi:10.1038/s41746-025-02186-w · Cited by 2 · see citing works
Compare Copy Number Alterations Detection Methods on Real Cancer Data
Luo, F., & Zhu, Y. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-95930-6_57 · Cited by 1 · see citing works
Whole-genome Sequencing-based Lung Cancer Precision Medicine in Japan
Kohno, T. (2022) · Haigan · doi:10.2482/haigan.62.10 · Cited by 1 · see citing works
Sanders, A. D., Meiers, S., Ghareghani, M., Porubskỳ, D., Jeong, H., van Vliet, M. A. C. C., Rausch, T., Richter‐Pechańska, P., Kunz, J. B., Jenni, S., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/849604 · Cited by 1 · see citing works
Zhang, Y., Leung, A. K., Kang, J. J., Sun, Y., Wu, G., Li, L., Sun, J., Cheng, L., Qiu, T., Zhang, J., et al. (2023) · doi:10.1101/2023.03.06.531441
Identifying Regulators from Multiple Types of Biological Data in Cancer
Baur, B. A. (2017) · e-Publications@Marquette (Marquette University)
Digital karyotyping of cancer cell lines from NGS data
Khalil, A. I. S. (2020) · doi:10.32657/10356/138176
Hannenhalli, S. S. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.735088954.793558203
Fu, Y., Wang, X., & Yue, F. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.07.552228 · Cited by 1 · see citing works
Zhao, S., Nakken, S., Vodák, D., & Hovig, E. J. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf078
Liu, X., Xia, L., Qiao, Y., Li, Y., Huang, Y., Yue, B., Liang, X., Yang, X., Zhang, H., Zhang, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.12.659252
The Cancer Genome in the Long Reads Era
Ermini, L. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4702-8_15
Khalil, A. I. S., Muzaki, S. R. B. M., Chattopadhyay, A., & Sanyal, A. (2020) · Figshare · doi:10.6084/m9.figshare.13204750
- Authors
- Beroukhim, R., Zhang, X., & Meyerson, M.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Meyerson, Matthew
- Venue
- Nature Genetics
- Published
- 2017-01
- Volume
- 49
- Issue
- 1
- Pages
- 5-6
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2567512722
- Cited by
- 46
- References
- 15
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 2 · 2023: 4 · 2022: 6 · 2021: 4 · 2020: 7 · 2019: 8 · 2018: 4 · 2017: 6
- FWCI
- 4.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
- Keywords
- copy number alterations, enhancer hijacking, genome rearrangement, cancer, gene dosage
- MeSH terms
- T-Cell Acute Lymphocytic Leukemia Protein 1, Chromosome Aberrations, Chromosomes, Human, Pair 14, Chromosomes, Human, Pair 6, Chromosomes, Human, Pair 8, Enhancer Elements, Genetic, Humans, Insulin-Like Growth Factor II, Neoplasms, Proto-Oncogene Proteins, Gene Expression Regulation, Neoplastic, Proto-Oncogene Proteins c-myc, Gene Dosage, GATA2 Transcription Factor, Basic Helix-Loop-Helix Proteins, DNA Copy Number Variations
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