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Journal of Neuro-Oncology

Erschienen in:

01.02.2012 | Laboratory Investigation - Human/Animal Tissue

Identification of CD105 (endoglin)-positive stem-like cells in rhabdoid meningioma

verfasst von: Dezhi Hu, Xiaomei Wang, Ying Mao, Liangfu Zhou

Erschienen in: Journal of Neuro-Oncology | Ausgabe 3/2012

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Abstract

To investigate the tumor-initiating cells (TICs) in rhabdoid meningioma (RM), a population of CD105-positive cells isolated from a fresh RM surgical sample was analyzed for proliferative activity, self-renewal ability, tumorigenic ability, multilineage differentiation potential, as well as chromosomal aberrations. The results showed that isolated CD105-positive cells could be maintained for more than 50 generations in vitro. These cells exhibited increased proliferative activity and single-cell tumor sphere-formation ability compared with CD105-negative cells. In vivo experiments showed that CD105-positive cells possessed much greater potential to reconstitute the original human RM in nude mice as compared with CD105-negative cells. Phenotypically, CD105-positive cells shared some surface markers with mesenchymal progenitor cells (MPCs), but karyotype analysis showed chromosomal abnormalities characteristic of malignant meningioma, thus distinguishing them from supportive stroma-derived MPCs. In addition, in contrast to CD105-negative cells, CD105-positive cells could differentiate into adipocytes and osteocytes in response to specific induction agents. Finally, CD105-positive cells with stem-like features were also isolated from xenograft tumors. In conclusion, a population of CD105-positive TICs with some traits of MPCs was identified in RM and might provide a promising therapeutic target in management of malignant meningioma.

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Titel: Identification of CD105 (endoglin)-positive stem-like cells in rhabdoid meningioma
verfasst von: Dezhi Hu
Xiaomei Wang
Ying Mao
Liangfu Zhou
Publikationsdatum: 01.02.2012
Verlag: Springer US
Erschienen in: Journal of Neuro-Oncology / Ausgabe 3/2012
Print ISSN: 0167-594X
Elektronische ISSN: 1573-7373
DOI: https://doi.org/10.1007/s11060-011-0705-3

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