TY - JOUR
T1 - Decreased mitochondrial mutagenesis during transformation of human breast stem cells into tumorigenic cells
AU - Ahn, Eun Hyun
AU - Lee, Seung Hyuk
AU - Kim, Joon Yup
AU - Chang, Chia Cheng
AU - Loeb, Lawrence A.
N1 - Funding Information:
The authors thank Prince J. Kim and Michael B. Lee for assistance in flow cytometry data analysis, Dr. James E. Trosko for obtaining HBECs, Brendan F. Kohrn for bioinformatics consultation, Dr. Rosa-Ana Risques for the mtDNA library capture set, Drs. Scott Kennedy, Marc J. Prindle, Michael W. Schmitt, and Edward J. Fox for comments on Duplex Sequencing, Drs. Tom Walsh and Ming K. Lee for sequencing technical assistance, and Drs. Raymond J. Monnat, George M. Martin, and Jesse J. Salk for critically reading this manuscript. The research was supported by grants from the NIH P01 AG001751 and R-33 CA 181771 (L.A. Loeb), National Institute of Environmental Health Sciences sponsored University of Washington for Ecogenetics and Environmental Health, and ITHS grant no.: NIH/NIEHS P30ES007033 (E.H. Ahn).
Publisher Copyright:
©2016 AACR.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - Rare stochastic mutations may accumulate during dormancy of stem-like cells, but technical limitations in DNA sequencing have limited exploring this possibility. In this study, we employed a recently established deep-sequencing method termed Duplex Sequencing to conduct a genome-wide analysis of mitochondrial (mt) DNA mutations in a human breast stem cell model that recapitulates the sequential stages of breast carcinogenesis. Using this method, we found significant differences in mtDNA among normal stem cells, immortal/preneoplastic cells, and tumorigenic cells. Putative cancer stem-like cell (CSC) populations and mtDNA copy numbers increased as normal stem cells become tumorigenic cells. Transformed cells exhibited lower rare mutation frequencies of whole mtDNA than did normal stem cells. The predicted mtDNA rare mutation pathogenicity was significantly lower in tumorigenic cells than normal stem cells. Major rare mutation types in normal stem cells are C>T/G>A and T>C/A>G transitions, while only C>T/G>A are major types in transformed cells. We detected a total of 1,220 rare point mutations, 678 of which were unreported previously. With only one possible exception (m10342T>C), we did not find specific mutations characterizing mtDNA in human breast CSCs; rather, the mitochondrial genome of CSCs displayed an overall decrease in rare mutations. On the basis of our work, we suggest that this decrease (in particular T>C/A>G transitions), rather than the presence of specific mitochondrial mutations, may constitute an early biomarker for breast cancer detection. Our findings support the hypothesis that the mitochondrial genome is altered greatly as a result of the transformation of normal stem cells to CSCs, and that mtDNA mutation signatures may aid in delineating normal stem cells from CSCs.
AB - Rare stochastic mutations may accumulate during dormancy of stem-like cells, but technical limitations in DNA sequencing have limited exploring this possibility. In this study, we employed a recently established deep-sequencing method termed Duplex Sequencing to conduct a genome-wide analysis of mitochondrial (mt) DNA mutations in a human breast stem cell model that recapitulates the sequential stages of breast carcinogenesis. Using this method, we found significant differences in mtDNA among normal stem cells, immortal/preneoplastic cells, and tumorigenic cells. Putative cancer stem-like cell (CSC) populations and mtDNA copy numbers increased as normal stem cells become tumorigenic cells. Transformed cells exhibited lower rare mutation frequencies of whole mtDNA than did normal stem cells. The predicted mtDNA rare mutation pathogenicity was significantly lower in tumorigenic cells than normal stem cells. Major rare mutation types in normal stem cells are C>T/G>A and T>C/A>G transitions, while only C>T/G>A are major types in transformed cells. We detected a total of 1,220 rare point mutations, 678 of which were unreported previously. With only one possible exception (m10342T>C), we did not find specific mutations characterizing mtDNA in human breast CSCs; rather, the mitochondrial genome of CSCs displayed an overall decrease in rare mutations. On the basis of our work, we suggest that this decrease (in particular T>C/A>G transitions), rather than the presence of specific mitochondrial mutations, may constitute an early biomarker for breast cancer detection. Our findings support the hypothesis that the mitochondrial genome is altered greatly as a result of the transformation of normal stem cells to CSCs, and that mtDNA mutation signatures may aid in delineating normal stem cells from CSCs.
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U2 - 10.1158/0008-5472.CAN-15-3462
DO - 10.1158/0008-5472.CAN-15-3462
M3 - Article
C2 - 27197159
AN - SCOPUS:84982677747
SN - 0008-5472
VL - 76
SP - 4569
EP - 4578
JO - Cancer Research
JF - Cancer Research
IS - 15
ER -