Evidence map›Paper›PMID 27302927›Full record

ArticleOncotarget2016

A 4-miRNA signature predicts the therapeutic outcome of glioblastoma.

Maximilian Niyazi, Adriana Pitea, Michel Mittelbronn, Joachim Steinbach, Carsten Sticht, Franz Zehentmayr, Daniel Piehlmaier, Horst Zitzelsberger, Ute Ganswindt, Claus Rödel and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 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

13 authors at 5 institutions in 2 countries.

Maximilian NiyaziLudwig-Maximilians-University of Munich, Department of Radiation Oncology, Munich, Germany.
Adriana PiteaResearch Unit of Radiation Cytogenetics, Helmholtz Zentrum München, Neuherberg, Germany.
Michel MittelbronnInstitute of Neurology (Edinger Institute), Goethe-University Frankfurt, Frankfurt/Main, Germany.
Joachim SteinbachDr. Senckenbergisches Institut für Neuroonkologie, Klinikum der J.W. Goethe-Universität, Frankfurt/Main, Germany.
Carsten StichtZentrum für Medizinische Forschung, Medizinische Fakultät Mannheim, Mannheim, Germany.
Franz ZehentmayrLudwig-Maximilians-University of Munich, Department of Radiation Oncology, Munich, Germany.
Daniel PiehlmaierResearch Unit of Radiation Cytogenetics, Helmholtz Zentrum München, Neuherberg, Germany.
Horst ZitzelsbergerResearch Unit of Radiation Cytogenetics, Helmholtz Zentrum München, Neuherberg, Germany.
Ute GanswindtLudwig-Maximilians-University of Munich, Department of Radiation Oncology, Munich, Germany.
Claus RödelDepartment of Radiation Oncology, University Hospital, Frankfurt, Germany.
Kirsten LauberLudwig-Maximilians-University of Munich, Department of Radiation Oncology, Munich, Germany.
Claus BelkaLudwig-Maximilians-University of Munich, Department of Radiation Oncology, Munich, Germany.
Kristian UngerResearch Unit of Radiation Cytogenetics, Helmholtz Zentrum München, Neuherberg, Germany.
Helmholtz Zentrum München · DEGoethe University Frankfurt · DELudwig-Maximilians-Universität München · DEGerman Cancer Research Center · DEMedizinische Fakultät Mannheim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimodal therapy of glioblastoma (GBM) reveals inter-individual variability in terms of treatment outcome. Here, we examined whether a miRNA signature can be defined for the a priori identification of patients with particularly poor prognosis.FFPE sections from 36 GBM patients along with overall survival follow-up were collected retrospectively and subjected to miRNA signature identification from microarray data. A risk score based on the expression of the signature miRNAs and cox-proportional hazard coefficients was calculated for each patient followed by validation in a matched GBM subset of TCGA. Genes potentially regulated by the signature miRNAs were identified by a correlation approach followed by pathway analysis.A prognostic 4-miRNA signature, independent of MGMT promoter methylation, age, and sex, was identified and a risk score was assigned to each patient that allowed defining two groups significantly differing in prognosis (p-value: 0.0001, median survival: 10.6 months and 15.1 months, hazard ratio = 3.8). The signature was technically validated by qRT-PCR and independently validated in an age- and sex-matched subset of standard-of-care treated patients of the TCGA GBM cohort (n=58). Pathway analysis suggested tumorigenesis-associated processes such as immune response, extracellular matrix organization, axon guidance, signalling by NGF, GPCR and Wnt. Here, we describe the identification and independent validation of a 4-miRNA signature that allows stratification of GBM patients into different prognostic groups in combination with one defined threshold and set of coefficients that could be utilized as diagnostic tool to identify GBM patients for improved and/or alternative treatment approaches.

Indexed as

AdultAgedBiomarkers, TumorBrain NeoplasmsChemoradiotherapy, AdjuvantFemaleGene Expression ProfilingGlioblastomaHumansKaplan-Meier EstimateMaleMicroRNAsMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesBiomarkers, TumorMicroRNAsglioblastomamiRNAsignature

Identifiers

PMID27302927
PMCPMC5216759
OpenAlexW2416509920

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.