Evidence map›Paper›PMID 35047820›Full record

ArticleNeuro-oncology advances

Landscape of driver gene events, biomarkers, and druggable targets identified by whole-genome sequencing of glioblastomas.

Wesley S van de Geer, Youri Hoogstrate, Kaspar Draaisma, Pierre A Robe, Sander Bins, Ron H J Mathijssen, Pim French, Harmen J G van de Werken, Filip Y F de Vos

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Wesley S van de GeerDepartment of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-9738-9988
Youri HoogstrateCancer Computational Biology Center, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0003-2166-0676
Kaspar DraaismaDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Pierre A RobeDepartment of Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Sander BinsDepartment of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-8280-9836
Ron H J MathijssenDepartment of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-5667-5697
Pim FrenchDepartment of Neurology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-0668-9529
Harmen J G van de WerkenCancer Computational Biology Center, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9794-1477
Filip Y F de VosDepartment of Medical Oncology, Cancer Center, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-9082-5991
Erasmus MC Cancer Institute · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe survival of glioblastoma patients is poor. Median survival after diagnosis is 15 months, despite treatment involving surgical resection, radiotherapy, and/or temozolomide chemotherapy. Identification of novel targets and stratification strategies of glioblastoma patients to improve patient survival is urgently needed. Whole-genome sequencing (WGS) is the most comprehensive means to identify such DNA-level targets. We report a unique set of WGS samples along with comprehensive analyses of the glioblastoma genome and potential clinical impact of WGS.

methodsOur cohort consisted of 42 glioblastoma tumor tissue and matched whole-blood samples, which were whole-genome sequenced as part of the CPCT-02 study. Somatic single-nucleotide variants, small insertions/deletions, multi-nucleotide variants, copy-number alterations (CNAs), and structural variants were analyzed. These aberrations were harnessed to investigate driver genes, enrichments in CNAs, mutational signatures, fusion genes, and potential targeted therapies.

resultsTumor mutational burden (TMB) was similar to other WGS efforts (1-342 mutations per megabase pair). Mutational analysis in low TMB samples showed that the age-related CpG demethylation signature was dominant, while hyper- and ultramutated tumors had additional defective DNA mismatch repair signatures and showed microsatellite instability in their genomes. We detected chromothripsis in 24% of our cohort, recurrently on chromosomes 1 and 12. Recurrent noncoding regions only resulted in

conclusionsWith high-quality WGS data and comprehensive methods, we identified the landscape of driver gene events and druggable targets in glioblastoma patients.

Indexed as

genomicsglioblastomaprecision medicinewhole-genome sequencing

Identifiers

PMID35047820
PMCPMC8760899
OpenAlexW3215323672

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.