Two classes of inherited susceptibility genes may be considered in the etiology of breast and other common cancers. First, genes have been identified that confer a high degree of breast cancer (BC) risk, usually associated with hereditary syndromes, but disease-associated germline variants in these
Genetic and epigenetic heterogeneity in cancer: A genome-centric perspective
✍ Scribed by Henry H.Q. Heng; Steven W. Bremer; Joshua B. Stevens; Karen J. Ye; Guo Liu; Christine J. Ye
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 135 KB
- Volume
- 220
- Category
- Article
- ISSN
- 0021-9541
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Genetic and epigenetic heterogeneity (the main form of non‐genetic heterogeneity) are key elements in cancer progression and drug resistance, as they provide needed population diversity, complexity, and robustness. Despite drastically increased evidence of multiple levels of heterogeneity in cancer, the general approach has been to eliminate the “noise” of heterogeneity to establish genetic and epigenetic patterns. In particular, the appreciation of new types of epigenetic regulation like non‐coding RNA, have led to the hope of solving the mystery of cancer that the current genetic theories seem to be unable to achieve. In this mini‐review, we have briefly analyzed a number of mis‐conceptions regarding cancer heterogeneity, followed by the re‐evaluation of cancer heterogeneity within a framework of the genome‐centric concept of evolution. The analysis of the relationship between gene, epigenetic and genome level heterogeneity, and the challenges of measuring heterogeneity among multiple levels have been discussed. Further, we propose that measuring genome level heterogeneity represents an effective strategy in the study of cancer and other types of complex diseases, as emphasis on the pattern of system evolution rather than specific pathways provides a global and synthetic approach. Compared to the degree of heterogeneity, individual molecular pathways will have limited predictability during stochastic cancer evolution where genome dynamics (reflected by karyotypic heterogeneity) will dominate. J. Cell. Physiol. 220: 538–547, 2009. © 2009 Wiley‐Liss, Inc.
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