Evidence map›Paper›PMID 35488036›Full record

ReviewNature reviews. Cancer2022

Disconnecting multicellular networks in brain tumours.

Varun Venkataramani, Matthias Schneider, Frank Anton Giordano, Thomas Kuner, Wolfgang Wick, Ulrich Herrlinger, Frank Winkler

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

80 citing papers in PubMed, 1 synthesis or guideline pooled it.

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20 more citing papers are in PubMed but not listed here.

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

7 authors.

Varun Venkataramani *Neurology Clinic, University Hospital Heidelberg, Heidelberg, Germany. varun.venkataramani@med.uni-heidelberg.de.ORCID http://orcid.org/0000-0002-2927-0886
Matthias Schneider *Department of Neurosurgery, University Hospital Bonn, Bonn, Germany. matthias.schneider@ukbonn.de.
Frank Anton GiordanoDepartment of Radiation Oncology, University Hospital Bonn, University of Bonn, Bonn, Germany.
Thomas KunerDepartment of Functional Neuroanatomy, Institute for Anatomy and Cell Biology, Heidelberg University, Heidelberg, Germany.
Wolfgang WickNeurology Clinic, University Hospital Heidelberg, Heidelberg, Germany.
Ulrich Herrlinger *Division of Clinical Neurooncology, Department of Neurology, University Hospital Bonn, University of Bonn, Bonn, Germany. ulrich.herrlinger@ukbonn.de.ORCID http://orcid.org/0000-0002-4011-9327
Frank Winkler *Neurology Clinic, University Hospital Heidelberg, Heidelberg, Germany. frank.winkler@med.uni-heidelberg.de.ORCID http://orcid.org/0000-0003-4892-6104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells can organize and communicate in functional networks. Similarly to other networks in biology and sociology, these can be highly relevant for growth and resilience. In this Perspective, we demonstrate by the example of glioblastomas and other incurable brain tumours how versatile multicellular tumour networks are formed by two classes of long intercellular membrane protrusions: tumour microtubes and tunnelling nanotubes. The resulting networks drive tumour growth and resistance to standard therapies. This raises the question of how to disconnect brain tumour networks to halt tumour growth and whether this can make established therapies more effective. Emerging principles of tumour networks, their potential relevance for tumour types outside the brain and translational implications, including clinical trials that are already based on these discoveries, are discussed.

Indexed as

Brain NeoplasmsGlioblastomaHumans

Identifiers

What Socratic 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 Socratic graph.