Title | Human medulloblastoma cell lines: Investigating on cancer stem cell-like phenotype |
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Publication Type | Articolo su Rivista peer-reviewed |
Year of Publication | 2020 |
Authors | Casciati, A., Tanori Mirella, Manczak R., Saada S., Tanno Barbara, Giardullo Paola, Porcù E., Rampazzo E., Persano L., Viola G., Dalmay C., Lalloue F., Pothier A., Merla Caterina, and Mancuso Mariateresa |
Journal | Cancers |
Volume | 12 |
ISSN | 20726694 |
Abstract | Medulloblastoma (MB) is the most common malignant pediatric brain tumor. Despite the progress of new treatments, the risk of recurrence, morbidity, and death remains significant and the long-term adverse effects in survivors are substantial. The fraction of cancer stem-like cells (CSCs) because of their self-renewal ability and multi-lineage differentiation potential is critical for tumor initiation, growth, and resistance to therapies. For the development of new CSC-targeted therapies, further in-depth studies are needed using enriched and stable MB-CSCs populations. This work, aimed at identifying the amount of CSCs in three available human cell lines (DAOY, D341, and D283), describes different approaches based on the expression of stemness markers. First, we explored potential differences in gene and protein expression patterns of specific stem cell markers. Then, in order to identify and discriminate undifferentiated from differentiated cells, MB cells were characterized using a physical characterization method based on a high-frequency dielectrophoresis approach. Finally, we compared their tumorigenic potential in vivo, through engrafting in nude mice. Concordantly, our findings identified the D283 human cell line as an ideal model of CSCs, providing important evidence on the use of a commercial human MB cell line for the development of new strategic CSC-targeting therapies. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. |
Notes | cited By 0 |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079176719&doi=10.3390%2fcancers12010226&partnerID=40&md5=1fabcae56e16fd6050b9a4814fd7a747 |
DOI | 10.3390/cancers12010226 |
Citation Key | Casciati2020 |