Evidence map›Paper›PMID 38177502›Full record

ArticleThe EMBO journal2024

Pan-cancer ion transport signature reveals functional regulators of glioblastoma aggression.

Alexander T Bahcheli, Hyun-Kee Min, Masroor Bayati, Hongyu Zhao, Alexander Fortuna, Weifan Dong, Irakli Dzneladze, Jade Chan, Xin Chen, Kissy Guevara-Hoyer and 3 more

Open access · diamondAbstract read
In one paragraph

Article in The EMBO journal, 2024. 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
3.7field-weighted citation impact, top 6% 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, 16 citations in OpenAlex.

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  4. Ancestral intronic splicing regulatory elements in the SCNbioRxiv : the preprint server for biology · 2026
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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

13 authors at 4 institutions in 3 countries.

Alexander T Bahcheli *Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.
Hyun-Kee Min *Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-9984-6086
Masroor BayatiComputational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.ORCID http://orcid.org/0009-0002-0476-5927
Hongyu ZhaoDevelopmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-6398-0876
Alexander FortunaComputational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.
Weifan DongDepartment of Molecular Genetics, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-2075-0813
Irakli DzneladzeComputational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.
Jade ChanDepartment of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Xin ChenDevelopmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-7620-5975
Kissy Guevara-HoyerComputational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-3568-8821
Peter B DirksDepartment of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
Xi HuangDepartment of Molecular Genetics, University of Toronto, Toronto, ON, Canada. Xi.Huang@Sickkids.ca.ORCID http://orcid.org/0000-0002-7177-7525
Jüri ReimandComputational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada. Juri.Reimand@utoronto.ca.ORCID http://orcid.org/0000-0002-2299-2309
Ontario Institute for Cancer Research · CAUniversity of Toronto · CACentral South University · CNShanghai Jiao Tong University · CN

Funding

Canadian Cancer Society (CCS) Innovation GrantCanadian Institutes for Health Research Project GrantHospital for Sick Children (SickKids) Catalyst Scholar AwardHospital for Sick Children (SickKids) RestraComp ScholarshipOntario Institute for Cancer Research (OICR) Investigator AwardSontag Foundation (The Sontag Foundation) Distinguished Scientist AwardTerry Fox Research Institute (TFRI) New Investigator Award
6 · The paper itself

Abstract

Ion channels, transporters, and other ion-flux controlling proteins, collectively comprising the "ion permeome", are common drug targets, however, their roles in cancer remain understudied. Our integrative pan-cancer transcriptome analysis shows that genes encoding the ion permeome are significantly more often highly expressed in specific subsets of cancer samples, compared to pan-transcriptome expectations. To enable target selection, we identified 410 survival-associated IP genes in 33 cancer types using a machine-learning approach. Notably, GJB2 and SCN9A show prominent expression in neoplastic cells and are associated with poor prognosis in glioblastoma, the most common and aggressive brain cancer. GJB2 or SCN9A knockdown in patient-derived glioblastoma cells induces transcriptome-wide changes involving neuron projection and proliferation pathways, impairs cell viability and tumor sphere formation in vitro, perturbs tunneling nanotube dynamics, and extends the survival of glioblastoma-bearing mice. Thus, aberrant activation of genes encoding ion transport proteins appears as a pan-cancer feature defining tumor heterogeneity, which can be exploited for mechanistic insights and therapy development.

Indexed as

Brain NeoplasmsGlioblastomaAnimalsCell Line, TumorGene Expression Regulation, NeoplasticHumansIon TransportMiceNAV1.7 Voltage-Gated Sodium ChannelTranscriptomeNAV1.7 Voltage-Gated Sodium ChannelSCN9A protein, humanCancerGlioblastomaIon ChannelsNeuron ProjectionTarget Discovery

Identifiers

PMID38177502
PMCPMC10897389
OpenAlexW4390511959

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.