Evidence map›Paper›PMID 31963405›Full record

ArticleCancers2020

Human Medulloblastoma Cell Lines: Investigating on Cancer Stem Cell-Like Phenotype.

Arianna Casciati, Mirella Tanori, Rémi Manczak, Sofiane Saada, Barbara Tanno, Paola Giardullo, Elena Porcù, Elena Rampazzo, Luca Persano, Giampietro Viola and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Medulloblastoma: biology and immunotherapy.Frontiers in immunology · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Effects of Ultra-Short Pulsed Electric Field Exposure on Glioblastoma Cells.International journal of molecular sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 2 countries.

Arianna CasciatiLaboratory of Biomedical Technologies, ENEA CR-Casaccia Via Anguillarese 301, 00123 Rome, Italy.
Mirella TanoriLaboratory of Biomedical Technologies, ENEA CR-Casaccia Via Anguillarese 301, 00123 Rome, Italy.
Rémi ManczakXLIM, University of Limoges, UMR 7252, F-87000 Limoges, France.ORCID 0000-0003-3690-213X
Sofiane SaadaCaptur, University of Limoges, EA3842, F-87000 Limoges, France.ORCID 0000-0003-2057-3159
Barbara TannoLaboratory of Biomedical Technologies, ENEA CR-Casaccia Via Anguillarese 301, 00123 Rome, Italy.
Paola GiardulloDepartment of Radiation Physics, Guglielmo Marconi University, 00193 Rome, Italy.
Elena PorcùDepartment of Women's and Children's Health (DSB), University of Padua, 35128 Padua, Italy.ORCID 0000-0003-1311-1079
Elena RampazzoDepartment of Women's and Children's Health (DSB), University of Padua, 35128 Padua, Italy.
Luca PersanoDepartment of Women's and Children's Health (DSB), University of Padua, 35128 Padua, Italy.ORCID 0000-0002-0050-3666
Giampietro ViolaDepartment of Women's and Children's Health (DSB), University of Padua, 35128 Padua, Italy.ORCID 0000-0001-9329-165X
Claire DalmayXLIM, University of Limoges, UMR 7252, F-87000 Limoges, France.
Fabrice LallouéCaptur, University of Limoges, EA3842, F-87000 Limoges, France.ORCID 0000-0003-0382-4948
Arnaud PothierXLIM, University of Limoges, UMR 7252, F-87000 Limoges, France.ORCID 0000-0001-8858-0545
Caterina MerlaLaboratory of Biomedical Technologies, ENEA CR-Casaccia Via Anguillarese 301, 00123 Rome, Italy.ORCID 0000-0001-8612-9566
Mariateresa MancusoLaboratory of Biomedical Technologies, ENEA CR-Casaccia Via Anguillarese 301, 00123 Rome, Italy.ORCID 0000-0002-0912-9287
National Agency for New Technologies, Energy and Sustainable Economic Development · ITUniversité de Limoges · FRUniversity of Padua · ITMarconi University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

cancer stem cellCD133cross-over frequencyD283Meddielectrophoresisstemness biomarkers

Identifiers

PMID31963405
PMCPMC7016648
OpenAlexW2998764581

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.