2011
DOI: 10.4252/wjsc.v3.i9.83
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Convergence of normal stem cell and cancer stem cell developmental stage: Implication for differential therapies

Abstract: Increased evidence shows that normal stem cells may contribute to cancer development and progression by acting as cancer-initiating cells through their interactions with abnormal environmental elements. We postulate that normal stem cells and cancer stem cells (CSC) possess similar mechanisms of self-renewal and differentiation. CSC can be the key to the elaboration of anti-cancer-based therapy. In this article, we focus on a controversial new theme relating to CSC. Tumorigenesis may have a critical stage char… Show more

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Cited by 8 publications
(10 citation statements)
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“…The transition from neural stem cells to cancer cells [25] may be activated by expression of some cancer driver, characteristic of dominant clones (single cells), but not in every cell [26]. Cancer cell phenotypes may be derived from such a few dominant single cells with a continuum from single driver stem cells to cancer cells.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The transition from neural stem cells to cancer cells [25] may be activated by expression of some cancer driver, characteristic of dominant clones (single cells), but not in every cell [26]. Cancer cell phenotypes may be derived from such a few dominant single cells with a continuum from single driver stem cells to cancer cells.…”
Section: Discussionmentioning
confidence: 99%
“…We have shown that normal stem cells and cancer cells share p53 signaling pathways [24], implying the convergence of stem cells and cancer for signaling pathways [25]. These results prompted us to hypothesize that the convergence of stem cells and cancer may drive tumor recurrence by subclonal switchboard signal activation [26].…”
Section: Introductionmentioning
confidence: 99%
“…Increased lines of evidence show “inappropriate context” ( i.e ., environment) in stem cell development may contribute to cancer development through their interactions with abnormal environmental elements such as inflammation. We pointed out that the crosstalk for tumorigenesis may have a critical stage characterized as a “therapeutic window”, which can be identified by association of molecular, biochemical and biological events in the converge developmental stages of different types of stem cells [ e.g ., normal stem cells (NSC), CSC and embryonic stem cells][ 37 ]. Such convergence of NSC and CSC demands spatiotemporal confinement of boundary for breaching to malignancy in response to stress (tissue injury/wound healing).…”
Section: Evidence To Support the Hypothesismentioning
confidence: 99%
“…Big data based on supercomputing, such as the team led by University of Washington’s David Baker in collaboration with researchers at the United States Department of Energy Joint Genome Institute (DOE JGI), can lead to an integrated comprehensive approach to cancer. Part of this integration is a lifetime imaging system that can define the convergence of normal stem cell and cancer stem cell developmental stages to determine appropriate therapies and assess their effects[ 37 ], for example, in monitoring maintenance immunotherapy[ 45 ]. Spatiotemporal monitoring of single cells will be high demand in the future because cancer originates from a single cell.…”
Section: Poac Demands For Development Of Innovative Detection Technolmentioning
confidence: 99%
“…The similarities in developmental stages, receptor expression patterns and self-renewal capacities of normal stem cells and CSCs raise the possibility that malignantly transformed normal stem cells may be a source of CSCs during tumor initiation [ 10 , 11 ]. In tumors that follow the CSC model, cancer cells can exist in different states of differentiation with a CSC population of relatively high replicative potential (producing highly proliferating transit-amplifying cells), which can contribute to intratumoral heterogeneity in the parent tumor [ 9 , 12 , 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%