Evidence map›Paper›PMID 39684714›Full record

ArticleInternational journal of molecular sciences2024

Genomic Profiling in Glioma Patients to Explore Clinically Relevant Markers.

Viacheslav Varachev, Olga Susova, Alexei Mitrofanov, David Naskhletashvili, George Krasnov, Anna Ikonnikova, Svetlana Bezhanova, Vera Semenova, Nadezhda Sevyan, Evgenii Prozorenko and 3 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

13 authors.

Viacheslav VarachevEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-3567-3761
Olga SusovaN.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation, 115478 Moscow, Russia.
Alexei MitrofanovN.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation, 115478 Moscow, Russia.
David NaskhletashviliN.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation, 115478 Moscow, Russia.
George KrasnovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-6493-8378
Anna IkonnikovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-8434-5916
Svetlana BezhanovaN.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation, 115478 Moscow, Russia.ORCID 0000-0001-7336-9210
Vera SemenovaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Nadezhda SevyanN.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation, 115478 Moscow, Russia.
Evgenii ProzorenkoN.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation, 115478 Moscow, Russia.ORCID 0000-0001-8880-1758
Yulia AmmourI.I. Mechnikov Research Institute for Vaccines and Sera, 105064 Moscow, Russia.ORCID 0000-0003-0223-5738
Ali BekyashevN.N. Blokhin Russian Cancer Research Center of the Ministry of Health of the Russian Federation, 115478 Moscow, Russia.
Tatiana NasedkinaEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.ORCID 0000-0002-2642-4202

Funding

the Russian Science Foundation 22-15-00304
6 · The paper itself

Abstract

Gliomas are a heterogeneous group of brain tumors, among which the most aggressive subtype is glioblastoma, accounting for 60% of cases in adults. Available systemic treatment options are few and ineffective, so new approaches to therapies for glioblastoma are in high demand. In total, 131 patients with diffuse glioma were studied. Paired tumor–normal samples were sequenced on the Illumina platform; the panel included 812 genes associated with cancer development. Molecular profiles in clinically distinct groups were investigated. In low-grade glioma (LGG) patients (n = 18), the most common mutations were IDH1/2 (78%), ATRX (33%), TP53 (44%), PIK3CA (17%), and co-deletion 1p/19q (22%). In high-grade glioma (HGG) patients (n = 113), more frequently affected genes were CDKN2A/B (33%), TERTp (71%), PTEN (60%), TP53 (27%), and EGFR (40%). The independent predictors of better prognosis were tumor grade and IDH1/2 mutations. In IDH—wildtype glioblastoma patients, a history of other precedent cancer was associated with worse overall survival (OS), while re-operation and bevacizumab therapy increased OS. Also, among genetic alterations, TERTp mutation and PTEN deletion were markers of poor prognosis. Nine patients received molecular targeted therapy, and the results were evaluated. The search for molecular changes associated with tumor growth and progression is important for diagnosis and choice of therapy.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaMutationAdultAgedFemaleGene Expression ProfilingGenomicsHumansIsocitrate DehydrogenaseMaleMiddle AgedNeoplasm GradingPrognosisYoung AdultBiomarkers, TumorIsocitrate Dehydrogenasecopy number variationglioblastomagliomamultigene sequencingmutationsrecurrencesurvivaltargeted treatment

Identifiers

PMID39684714
PMCPMC11641329

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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.