Clonal Evolution in Breast Cancer Revealed by Single Nucleus Genome Sequencing
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Clonal Evolution in Breast Cancer Revealed by Single Nucleus Genome Sequencing
| Title: | Clonal Evolution in Breast Cancer Revealed by Single Nucleus Genome Sequencing |
| Author: |
Wang, Yong; Waters, Jill; Leung, Marco L.; Unruh, Anna; Roh, Whijae; Shi, Xiuqing; Chen, Ken; Scheet, Paul; Vattathil, Selina; Liang, Han; Multani, Asha; Zhang, Hong; Zhao, Rui; Michor, Franziska; Meric-Bernstam, Funda; Navin, Nicholas E.
Note: Order does not necessarily reflect citation order of authors. |
| Citation: | Wang, Y., J. Waters, M. L. Leung, A. Unruh, W. Roh, X. Shi, K. Chen, et al. 2014. “Clonal Evolution in Breast Cancer Revealed by Single Nucleus Genome Sequencing.” Nature 512 (7513): 155-160. doi:10.1038/nature13600. http://dx.doi.org/10.1038/nature13600. |
| Full Text & Related Files: |
4158312.pdf (2.525Mb; PDF) 
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| Abstract: | SUMMARY Sequencing studies of breast tumor cohorts have identified many prevalent mutations, but provide limited insight into the genomic diversity within tumors. Here, we developed a whole-genome and exome single cell sequencing approach called Nuc-Seq that utilizes G2/M nuclei to achieve 91% mean coverage breadth. We applied this method to sequence single normal and tumor nuclei from an estrogen-receptor positive breast cancer and a triple-negative ductal carcinoma. In parallel, we performed single nuclei copy number profiling. Our data show that aneuploid rearrangements occurred early in tumor evolution and remained highly stable as the tumor masses clonally expanded. In contrast, point mutations evolved gradually, generating extensive clonal diversity. Many of the diverse mutations were shown to occur at low frequencies (<10%) in the tumor mass by targeted single-molecule sequencing. Using mathematical modeling we found that the triple-negative tumor cells had an increased mutation rate (13.3X) while the ER+ tumor cells did not. These findings have important implications for the diagnosis, therapeutic treatment and evolution of chemoresistance in breast cancer. |
| Published Version: | doi:10.1038/nature13600 |
| Other Sources: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4158312/pdf/ |
| Terms of Use: | This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA |
| Citable link to this page: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:14065379 |
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