期刊
SEMINARS IN CANCER BIOLOGY
卷 30, 期 -, 页码 42-51出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.semcancer.2013.12.004
关键词
Anti-cancer therapies; Cancer attractors; Cancer stem cells; Hypoxia; Inflammation; Interactome; Metabolic modeling; Networks; Senescence; Signaling
类别
资金
- Hungarian National Science Foundation [OTKA-K83314, OTKA-K109349]
- National Natural Science Foundation of China [11131009, 91330114]
- Janos Bolyai Scholarship
- BBSRC [BBS/E/T/000PR6193, BBS/E/F/00044500, BBS/E/T/000PR5885] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BBS/E/T/000PR6193, BBS/E/T/000PR5885, BBS/E/F/00044500] Funding Source: researchfish
Cancer is increasingly perceived as a systems-level, network phenomenon. The major trend of malignant transformation can be described as a two-phase process, where an initial increase of network plasticity is followed by a decrease of plasticity at late stages of tumor development. The fluctuating intensity of stress factors, like hypoxia, inflammation and the either cooperative or hostile interactions of tumor inter-cellular networks, all increase the adaptation potential of cancer cells. This may lead to the bypass of cellular senescence, and to the development of cancer stem cells. We propose that the central tenet of cancer stem cell definition lies exactly in the indefinability of cancer stem cells. Actual properties of cancer stem cells depend on the individual stress-history of the given tumor. Cancer stem cells are characterized by an extremely large evolvability (i.e. a capacity to generate heritable phenotypic variation), which corresponds well with the defining hallmarks of cancer stem cells: the possession of the capacity to self-renew and to repeatedly re-build the heterogeneous lineages of cancer cells that comprise a tumor in new environments. Cancer stem cells represent a cell population, which is adapted to adapt. We argue that the high evolvability of cancer stem cells is helped by their repeated transitions between plastic (proliferative, symmetrically dividing) and rigid (quiescent, asymmetrically dividing, often more invasive) phenotypes having plastic and rigid networks. Thus, cancer stem cells reverse and replay cancer development multiple times. We describe network models potentially explaining cancer stem cell-like behavior. Finally, we propose novel strategies including combination therapies and multitarget drugs to overcome the Nietzschean dilemma of cancer stem cell targeting: what does not kill me makes me stronger. (C) 2014 Elsevier Ltd. All rights reserved.
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