The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Extrachromosomal oncogene amplification drives tumour evolution and genetic heterogeneity
Open accessAbstract
Human cells have twenty-three pairs of chromosomes. In cancer, however, genes can be amplified in chromosomes or in circular extrachromosomal DNA (ecDNA), although the frequency and functional importance of ecDNA are not understood. We performed whole-genome sequencing, structural modelling and cytogenetic analyses of 17 different cancer types, including analysis of the structure and function of chromosomes during metaphase of 2,572 dividing cells, and developed a software package called ECdetect to conduct unbiased, integrated ecDNA detection and analysis. Here we show that ecDNA was found in nearly half of human cancers; its frequency varied by tumour type, but it was almost never found in normal cells. Driver oncogenes were amplified most commonly in ecDNA, thereby increasing transcript level. Mathematical modelling predicted that ecDNA amplification would increase oncogene copy number and intratumoural heterogeneity more effectively than chromosomal amplification. We validated these predictions by quantitative analyses of cancer samples. The results presented here suggest that ecDNA contributes to accelerated evolution in cancer.
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Nowell, P. C. (1976) · Science · doi:10.1126/science.959840 · Cited by 6,471
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926
Greaves, M., & Maley, C. C. (2012) · Nature · doi:10.1038/nature10762 · Cited by 3,162
Intra-tumour heterogeneity: a looking glass for cancer?
Marusyk, A., Almendro, V., & Polyak, K. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3261 · Cited by 2,000
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.-Z., Wala, J., Mermel, C. H., et al. (2013) · Nature Genetics · doi:10.1038/ng.2760 · Cited by 1,870
Adaptive Thresholding using the Integral Image
Bradley, D., & Roth, G. (2007) · Journal of Graphics Tools · doi:10.1080/2151237x.2007.10129236 · Cited by 1,389
Cited by
Wen, P. Y., Weller, M., Lee, E. Q., Alexander, B. M., Barnholtz-Sloan, J. S., Barthel, F. P., Batchelor, T. T., Bindra, R. S., Chang, S. M., Chiocca, E. A., et al. (2020) · Neuro-Oncology · doi:10.1093/neuonc/noaa106 · Cited by 1,168
Self-citationIntratumor Heterogeneity: The Rosetta Stone of Therapy Resistance
Marusyk, A., Janiszewska, M., & Polyak, K. (2020) · Cancer Cell · doi:10.1016/j.ccell.2020.03.007 · Cited by 1,009
The MYC oncogene — the grand orchestrator of cancer growth and immune evasion
Dhanasekaran, R., Deutzmann, A., Mahauad-Fernandez, W. D., Hansen, A. S., Gouw, A. M., & Felsher, D. W. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00549-2 · Cited by 986
The Multifaceted Role of Chromosomal Instability in Cancer and Its Microenvironment
Bakhoum, S. F., & Cantley, L. C. (2018) · Cell · doi:10.1016/j.cell.2018.08.027 · Cited by 717
An, Z., Aksoy, O., Zheng, T., Fan, Q.-W., & Weiss, W. A. (2018) · Oncogene · doi:10.1038/s41388-017-0045-7 · Cited by 668
Metadata
- Authors
- Turner, K. M., Deshpande, V., Beyter, D., Koga, T., Rusert, J., Lee, C., Li, B., Arden, K., Ren, B., Nathanson, D. A., Kornblum, H. I., Taylor, M. D., Kaushal, S., Cavenee, W. K., Wechsler-Reya, R., Furnari, F. B., Vandenberg, S. R., Rao, P. N., Wahl, G. M., Bafna, V., & Mischel, P. S.
- Venue
- Nature
- Published
- 2017-02-08
- Volume
- 543
- Issue
- 7643
- Pages
- 122-125
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2587686129
- Cited by
- 847
- References
- 33
- FWCI
- 31.42
- Type
- journal article
- Language
- en
- Open access
- green
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- Turner, K. M., Deshpande, V., Beyter, D., Koga, T., Rusert, J., Lee, C., Li, B., Arden, K., Ren, B., Nathanson, D. A., Kornblum, H. I., Taylor, M. D., Kaushal, S., Cavenee, W. K., Wechsler-Reya, R., Furnari, F. B., Vandenberg, S. R., Rao, P. N., Wahl, G. M., . . . Mischel, P. S. (2017). Extrachromosomal oncogene amplification drives tumour evolution and genetic heterogeneity. Nature. https://doi.org/10.1038/nature21356
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