Evidence map›Paper›PMID 32634135›Full record

ArticlePloS one2020

Molecular analyses of glioblastoma stem-like cells and glioblastoma tissue.

Marco Wallenborn, Li-Xin Xu, Holger Kirsten, Leili Rohani, Daniela Rudolf, Peter Ahnert, Christian Schmidt, Ronny M Schulz, Mandy Richter, Wolfgang Krupp and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Molecular Mechanisms of Drug Resistance in Glioblastoma.International journal of molecular sciences · 2021
    Review
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

14 authors at 4 institutions in 3 countries.

Marco WallenbornTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.ORCID 0000-0003-4906-3718
Li-Xin XuTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.
Holger KirstenInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Leili RohaniTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.
Daniela RudolfTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.
Peter AhnertInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany.
Christian SchmidtTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.
Ronny M SchulzTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.
Mandy RichterTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.
Wolfgang KruppDepartment of Neurosurgery, University of Leipzig, Leipzig, Germany.
Wolf MuellerDepartment of Neuropathology, University of Leipzig, Leipzig, Germany.
Adiv A JohnsonNikon Instruments, Melville, New York, United States of America.
Jürgen MeixensbergerDepartment of Neurosurgery, University of Leipzig, Leipzig, Germany.
Heidrun HollandTranslational Centre for Regenerative Medicine (TRM) and Saxonian Incubator for Clinical Translation (SIKT), University of Leipzig, Leipzig, Germany.ORCID 0000-0002-3677-592X
Leipzig University · DEUniversity Hospital Leipzig · DENikon (United States) · USUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma is a common, malignant brain tumor whose disease incidence increases with age. Glioblastoma stem-like cells (GSCs) are thought to contribute to cancer therapy resistance and to be responsible for tumor initiation, maintenance, and recurrence. This study utilizes both SNP array and gene expression profiling to better understand GSCs and their relation to malignant disease. Peripheral blood and primary glioblastoma tumor tissue were obtained from patients, the latter of which was used to generate GSCs as well as a CD133pos./CD15pos. subpopulation. The stem cell features of GSCs were confirmed via the immunofluorescent expression of Nestin, SOX2, and CD133. Both tumor tissue and the isolated primary cells shared unique abnormal genomic characteristics, including a gain of chromosome 7 as well as either a partial or complete loss of chromosome 10. Individual genomic differences were also observed, including the loss of chromosome 4 and segmental uniparental disomy of 9p24.3→p21.3 in GSCs. Gene expression profiling revealed 418 genes upregulated in tumor tissue vs. CD133pos./CD15pos. cells and 44 genes upregulated in CD133pos./CD15pos. cells vs. tumor tissue. Pathway analyses demonstrated that upregulated genes in CD133pos./CD15pos. cells are relevant to cell cycle processes and cancerogenesis. In summary, we detected previously undescribed genomic and gene expression differences when comparing tumor tissue and isolated stem-like subpopulations.

Indexed as

AC133 AntigenCells, CulturedCell SeparationGene Expression ProfilingGlioblastomaHumansLewis X AntigenNeoplastic Stem CellsPolymorphism, Single NucleotideSpecimen HandlingUp-RegulationAC133 AntigenLewis X Antigen

Identifiers

PMID32634135
PMCPMC7340312
OpenAlexW3040733211

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.