Genetic diversity in normal cell populations is the earliest stage of oncogenesis leading to intra-tumor heterogeneity

Frontiers in Oncology

Volumn 3 APR, Issue , 2013, Pages

  Howk, Cory L ^a,c   Voller, Zachary ^b   Beck, Brandon B ^a   Dai, Donghai ^a  

^a UNIVERSITY OF IOWA   (United States)

^b IOWA STATE UNIVERSITY   (United States)

^c WESTERN CAROLINA UNIVERSITY   (United States)

Author keywords

Endometrial cancer; Evolution; Fitness; Genetic mutation; Mathematical modeling; Oncogenesis; Phylogenetic analysis; Tumor heterogeneity

Indexed keywords

ARTICLE; CANCER CELL; CANCER STEM CELL; CARCINOGENESIS; CELL CYCLE; CELL DEDIFFERENTIATION; CELL DIFFERENTIATION; CELL GROWTH; CELL HETEROGENEITY; CELL PROLIFERATION; ENDOMETRIUM CANCER; ENDOMETRIUM CELL; EVOLUTION; GENE MUTATION; GENETIC VARIABILITY; HUMAN; MATHEMATICAL MODEL; MUTATION; PHYLOGENETIC TREE; SIMULATION;

EID: 84890681784     PISSN: None     EISSN: 2234943X     Source Type: Journal    
DOI: 10.3389/fonc.2013.00061     Document Type: Article

References (12)

1. Araten, D. J., Golde, D. W., Zhang, R. H., Thaler, H. T., Gargiulo, L., Notaro, R., et al. (2005). A quantitative measurement of the human somatic mutation rate. Cancer Res. 65, 8111-8117.
2. Dai, D., Beck, B. B., Wang, X., Howk, C., and Li, Y. (2011). Quantitative interpretation of a genetic model of carcinogenesis using computer simulations. PLoS ONE 6:e16859. doi:10.1371/journal.pone.0016859
3. Elmore, E., Kakunaga, T., and Barrett, J. C. (1983). Comparison of spontaneous mutation rates of normal and chemically transformed human skin fibroblasts. Cancer Res. 43, 1650-1655.
4. Fearon, E. R., and Vogelstein, B. (1990). A genetic model for colorectal tumorigenesis. Cell 61, 759-767.
5. Gallo, M. L., O'Hara, A. J., Rudd, M. L., Urick, M. E., Hansen, N. F., O'Neil, N. J., et al. (2012). Exome sequencing of serous endometrial tumors identifies recurrent somatic mutations in chromatin-remodeling and ubiquitin ligase complex genes. Nat. Genet. 44, 1310-1315.
6. Hanahan, D., and Weinberg, R. A. (2011). Hallmarks of cancer: the next generation. Cell 144, 646-674.
7. Hollander, M., and Wolfe, D. A. (1999). Nonparametric Statistical Methods. New York: Wiley-Interscience.
8. Jones, S., Chen, W. D., Parmigiani, G., Diehl, F., Beerenwinkel, N., Antal, T., et al. (2008a). Comparative lesion sequencing provides insights into tumor evolution. Proc. Natl. Acad. Sci. U.S.A. 105, 4283-4288.
9. Jones, S., Zhang, X., Parsons, D. W., Lin, J. C., Leary, R. J., Angenendt, P., et al. (2008b). Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science 321, 1801-1806.
10. Kuhn, E., Wu, R. C., Guan, B., Wu, G., Zhang, J., Wang, Y., et al. (2012). Identification of molecular pathway aberrations in uterine serous carcinoma by genome-wide analyses. J. Natl. Cancer Inst. 104, 1503-1513.
11. Liang, H., Cheung, L. W., Li, J., Ju, Z., Yu, S., Stemke-Hale, K., et al. (2012). Whole-exome sequencing combined with functional genomics reveals novel candidate driver cancer genes in endometrial cancer. Genome Res. 22, 2120-2129.
12. Weinberg, R. A. (2007). "The nature of cancer," in The Biology of Cancer, ed. R. A. Weinber (New York: Garland Science), 25-56.