Evidence map›Paper›PMID 27426982›Full record

ArticleCell systems2016

Causal Mechanistic Regulatory Network for Glioblastoma Deciphered Using Systems Genetics Network Analysis.

Christopher L Plaisier, Sofie O'Brien, Brady Bernard, Sheila Reynolds, Zac Simon, Chad M Toledo, Yu Ding, David J Reiss, Patrick J Paddison, Nitin S Baliga

Open access · hybridAbstract read
In one paragraph

Article in Cell systems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 146 citations in OpenAlex.

  1. Monocyte-Amplified Transcriptional Signatures of Human Diseases.bioRxiv : the preprint server for biology · 2026
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  11. A gene set enrichment analysis for cancer hallmarks.Journal of pharmaceutical analysis · 2025
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  18. Genes · 2024
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  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Christopher L PlaisierInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA 98109-5234, USA. Electronic address: cplaisier@systemsbiology.org.
Sofie O'BrienInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA 98109-5234, USA.
Brady BernardInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA 98109-5234, USA.
Sheila ReynoldsInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA 98109-5234, USA.
Zac SimonInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA 98109-5234, USA.
Chad M ToledoHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Molecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA.
Yu DingHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
David J ReissInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA 98109-5234, USA.
Patrick J PaddisonHuman Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Molecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA.
Nitin S BaligaInstitute for Systems Biology, 401 Terry Avenue North, Seattle, WA 98109-5234, USA. Electronic address: nbaliga@systemsbiology.org.
Institute for Systems Biology · USNorth Seattle College · USFred Hutch Cancer Center · USUniversity of Washington · US

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DUDLEY, AIMEE M · 2006 to 2016
$30.6M
Center for Systems Analysis of the Cancer RegulomeU24CA143835 · NCI · INSTITUTE FOR SYSTEMS BIOLOGY · PI SHMULEVICH, ILYA · 2009 to 2016
$10.6M
MYC-dependent loss of splicing fidelity in Glioblastoma multiformeR01CA190957 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PADDISON, PATRICK · 2015 to 2019
$2.2M
Interrogation of systems level mechanisms controlling DNA repair processesR01GM077398 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2007 to 2010
$1.3M
NCI NIH HHS R01 CA190957NCI NIH HHS U24 CA143835NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM077398
6 · The paper itself

Abstract

We developed the transcription factor (TF)-target gene database and the Systems Genetics Network Analysis (SYGNAL) pipeline to decipher transcriptional regulatory networks from multi-omic and clinical patient data, and we applied these tools to 422 patients with glioblastoma multiforme (GBM). The resulting gbmSYGNAL network predicted 112 somatically mutated genes or pathways that act through 74 TFs and 37 microRNAs (miRNAs) (67 not previously associated with GBM) to dysregulate 237 distinct co-regulated gene modules associated with patient survival or oncogenic processes. The regulatory predictions were associated to cancer phenotypes using CRISPR-Cas9 and small RNA perturbation studies and also demonstrated GBM specificity. Two pairwise combinations (ETV6-NFKB1 and romidepsin-miR-486-3p) predicted by the gbmSYGNAL network had synergistic anti-proliferative effects. Finally, the network revealed that mutations in NF1 and PIK3CA modulate IRF1-mediated regulation of MHC class I antigen processing and presentation genes to increase tumor lymphocyte infiltration and worsen prognosis. Importantly, SYGNAL is widely applicable for integrating genomic and transcriptomic measurements from other human cohorts.

Indexed as

GlioblastomaGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMicroRNAsOncogenesMicroRNAsgene regulationglioblastoma multiformegliomanetworksystems biologysystems genetics

Identifiers

PMID27426982
PMCPMC5001912
OpenAlexW2460955802

What OpenQuestion holds

Textmetadata
LicenceTDM
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.