2016
DOI: 10.1186/s12885-016-2759-2
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Iterative sorting reveals CD133+ and CD133- melanoma cells as phenotypically distinct populations

Abstract: BackgroundThe heterogeneity and tumourigenicity of metastatic melanoma is attributed to a cancer stem cell model, with CD133 considered to be a cancer stem cell marker in melanoma as well as other tumours, but its role has remained controversial.MethodsWe iteratively sorted CD133+ and CD133- cells from 3 metastatic melanoma cell lines, and observed tumourigenicity and phenotypic characteristics over 7 generations of serial xeno-transplantation in NOD/SCID mice.ResultsWe demonstrate that iterative sorting is re… Show more

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Cited by 14 publications
(17 citation statements)
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References 56 publications
(56 reference statements)
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“…Most studies have reported a rare subset of CD133-positive cells in melanoma comprising less than 1% of total tumor cells (Monzani et al, 2007). The D10 cell line expresses CD133 more frequently than typical melanoma (approximately 10.7%); this high rate appears to be associated with the metastatic state of this cell line (Grasso et al, 2016). However, there are contradictory statements regarding the ability of CD133-negative cells to induce tumors.…”
Section: Discussionmentioning
confidence: 99%
“…Most studies have reported a rare subset of CD133-positive cells in melanoma comprising less than 1% of total tumor cells (Monzani et al, 2007). The D10 cell line expresses CD133 more frequently than typical melanoma (approximately 10.7%); this high rate appears to be associated with the metastatic state of this cell line (Grasso et al, 2016). However, there are contradictory statements regarding the ability of CD133-negative cells to induce tumors.…”
Section: Discussionmentioning
confidence: 99%
“…The surface markers CD133, CD34, CD44, CD26 and CD90 are used to identify and isolate CSCs from tumor cell populations. Additionally, these cells possess metastatic, invasive and chemoresistance abilities (10,3437). Several potential cervical epithelial stem cell markers, including MSI1, ALDH1, SOX2 and CD49f, have been used to identify CCSCs (10,15).…”
Section: Markers Of Ccscs As Prognostic Biomarkersmentioning
confidence: 99%
“…Recent reports offer a new perspective on this phenomenon by providing evidence that, like previous studies in hematopoietic stem cells and Chinese hamster ovary cells, the expression of putative CSC markers fluctuate over time [70][71][72][73][74]. Surprisingly, the isolation of potential CSC subpopulations from the ovarian carcinoma cell line A2780 based on CD24 and CD44 surface expression In summary, the quiescence-associated hypomethylation of the IGF2-H19 locus is surprisingly found in NTera2 cells as well as EC-containing mixed TGCT tissues.…”
Section: Hypomethylation At the Paternally Imprinted Igf2-h19 Locus Imentioning
confidence: 99%
“…These CSC subpopulations are often identified based on their expression of certain surface antigens which also exist on normal stem cell populations, including SSEA4, CD133, and DLK1 [11,[67][68][69]. However, several studies have challenged the nature of true CSCs within tumors by providing evidence that these CSC-like subpopulations of cells dynamically express CSC-associated antigens [70,71]. Notably, low-passage cell lines from human metastatic melanoma patients were recently shown to form tumors in vivo irrespective of their surface expression of the CSC marker CD133, and CD133 -isolated subpopulations of these cells re-acquired CD133 expression during culture [70].…”
Section: Tumor Heterogeneity and Fluctuating Cancer Stem Cell Phenotypesmentioning
confidence: 99%
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