Evidence map›Paper›PMID 33320195›Full record

ArticleNeuro-oncology2021

Tumor cell network integration in glioma represents a stemness feature.

Ruifan Xie, Tobias Kessler, Julia Grosch, Ling Hai, Varun Venkataramani, Lulu Huang, Dirk C Hoffmann, Gergely Solecki, Miriam Ratliff, Matthias Schlesner and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

34 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  3. Single-cell and bulk transcriptome analysis reveals the impact of inflammatory microglia on prognosis and immunotherapy response in primary glioblastoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  16. Intrinsic and Microenvironmental Drivers of Glioblastoma Invasion.International journal of molecular sciences · 2024
    Review
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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

12 authors at 2 institutions in 2 countries.

Ruifan XieNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Tobias KesslerNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Julia GroschNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Ling HaiFaculty of Biosciences, Heidelberg University; Heidelberg, Germany.
Varun VenkataramaniNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Lulu HuangNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Dirk C HoffmannClinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Gergely SoleckiNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.
Miriam RatliffClinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Matthias SchlesnerFaculty of Biosciences, Heidelberg University; Heidelberg, Germany.ORCID 0000-0002-5896-4086
Wolfgang WickNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0002-6171-634X
Frank WinklerNeurology Clinic and Neurooncology Program and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany.ORCID 0000-0003-4892-6104
German Cancer Research Center · DEHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalignant gliomas including glioblastomas are characterized by a striking cellular heterogeneity, which includes a subpopulation of glioma cells that becomes highly resistant by integration into tumor microtube (TM)-connected multicellular networks.

methodsA novel functional approach to detect, isolate, and characterize glioma cell subpopulations with respect to in vivo network integration is established, combining a dye staining method with intravital two-photon microscopy, Fluorescence-Activated Cell Sorting (FACS), molecular profiling, and gene reporter studies.

resultsGlioblastoma cells that are part of the TM-connected tumor network show activated neurodevelopmental and glioma progression gene expression pathways. Importantly, many of them revealed profiles indicative of increased cellular stemness, including high expression of nestin. TM-connected glioblastoma cells also had a higher potential for reinitiation of brain tumor growth. Long-term tracking of tumor cell nestin expression in vivo revealed a stronger TM network integration and higher radioresistance of the nestin-high subpopulation. Glioblastoma cells that were both nestin-high and network-integrated were particularly able to adapt to radiotherapy with increased TM formation.

conclusionMultiple stem-like features are strongly enriched in a fraction of network-integrated glioma cells, explaining their particular resilience.

Indexed as

Brain NeoplasmsGlioblastomaGliomaBrainCell Line, TumorHumansNeoplastic Stem CellsNestinNestincancer stem cellsglioblastomagliomanetworkstumor microtubes

Identifiers

PMID33320195
PMCPMC8099480
OpenAlexW3111104197

What OpenQuestion holds

Textmetadata
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.