Evidence map›Paper›PMID 34917940›Full record

ArticleBrain communications2021

Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas.

Ayan S Mandal, Rafael Romero-Garcia, Jakob Seidlitz, Michael G Hart, Aaron F Alexander-Bloch, John Suckling

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
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  6. Tumour-infiltrated cortex participates in large-scale cognitive circuits.Cortex; a journal devoted to the study of the nervous system and behavior · 2024
    Article
  7. Review
  8. Article
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  10. Review
  11. Article
  12. Article
  13. A Critical Appraisal of Imaging Transcriptomics.Biological psychiatry global open science · 2022
    Article
  14. 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

6 authors at 2 institutions in 2 countries.

Ayan S MandalDepartment of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK.ORCID https://orcid.org/0000-0002-0780-3864
Rafael Romero-GarciaDepartment of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK.
Jakob SeidlitzDepartment of Psychiatry, Brain-Gene Development Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Michael G HartDepartment of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK.
Aaron F Alexander-BlochDepartment of Psychiatry, Brain-Gene Development Lab, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
John SucklingDepartment of Psychiatry, Brain Mapping Unit, University of Cambridge, Cambridge, CB2 0SZ, UK.
University of Cambridge · GBChildren's Hospital of Philadelphia · US

Funding

SCHIZOPHRENIA: A NEUROPSYCHIATRIC PERSPECTIVET32MH019112 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1990 to 2024
$6.2M
Combined brain and gene network approaches to the developmental hypothesis of schizophreniaK08MH120564 · NIMH · YALE UNIVERSITY · PI ALEXANDER-BLOCH, AARON FELIX · 2019 to 2023
$923k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/M009041/1NIMH NIH HHS K08 MH120564NIMH NIH HHS T32 MH019112
6 · The paper itself

Abstract

Diffuse gliomas have been hypothesized to originate from neural stem cells in the subventricular zone and develop along previously healthy brain networks. Here, we evaluated these hypotheses by mapping independent sources of glioma localization and determining their relationships with neurogenic niches, genetic markers and large-scale connectivity networks. By applying independent component analysis to lesion data from 242 adult patients with high- and low-grade glioma, we identified three lesion covariance networks, which reflect clusters of frequent glioma localization. Replicability of the lesion covariance networks was assessed in an independent sample of 168 glioma patients. We related the lesion covariance networks to important clinical variables, including tumour grade and patient survival, as well as genomic information such as molecular genetic subtype and bulk transcriptomic profiles. Finally, we systematically cross-correlated the lesion covariance networks with structural and functional connectivity networks derived from neuroimaging data of over 4000 healthy UK BioBank participants to uncover intrinsic brain networks that may that underlie tumour development. The three lesion covariance networks overlapped with the anterior, posterior and inferior horns of the lateral ventricles respectively, extending into the frontal, parietal and temporal cortices. These locations were independently replicated. The first lesion covariance network, which overlapped with the anterior horn, was associated with low-grade, isocitrate dehydrogenase -mutated/1p19q-codeleted tumours, as well as a neural transcriptomic signature and improved overall survival. Each lesion covariance network significantly coincided with multiple structural and functional connectivity networks, with the first bearing an especially strong relationship with brain connectivity, consistent with its neural transcriptomic profile. Finally, we identified subcortical, periventricular structures with functional connectivity patterns to the cortex that significantly matched each lesion covariance network. In conclusion, we demonstrated replicable patterns of glioma localization with clinical relevance and spatial correspondence with large-scale functional and structural connectivity networks. These results are consistent with prior reports of glioma growth along white matter pathways, as well as evidence for the coordination of glioma stem cell proliferation by neuronal activity. Our findings describe how the locations of gliomas relate to their proposed subventricular origins, suggesting a model wherein periventricular brain connectivity guides tumour development.

Indexed as

functional connectivitygliomaneural stem cellsstructural connectivitysubventricular zone

Identifiers

PMID34917940
PMCPMC8669792
OpenAlexW4234151620

What OpenQuestion holds

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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.