Evidence map›Paper›PMID 29305787›Full record

ArticleJournal of neuro-oncology2018

Molecular profiling of short-term and long-term surviving patients identifies CD34 mRNA level as prognostic for glioblastoma survival.

Signe Regner Michaelsen, Thomas Urup, Lars Rønn Olsen, Helle Broholm, Ulrik Lassen, Hans Skovgaard Poulsen

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In one paragraph

Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  20. Genetic secrets of long-term glioblastoma survivors.Bosnian journal of basic medical sciences · 2019
    Review
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

6 authors at 2 institutions in 1 country.

Signe Regner MichaelsenDepartment of Radiation Biology, Rigshospitalet, Copenhagen, Denmark. signe.regner.michaelsen@regionh.dk.ORCID http://orcid.org/0000-0001-9047-6384
Thomas UrupDepartment of Radiation Biology, Rigshospitalet, Copenhagen, Denmark.
Lars Rønn OlsenDepartment of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark.
Helle BroholmDepartment of Pathology, Rigshospitalet, Copenhagen, Denmark.
Ulrik LassenDepartment of Oncology, Rigshospitalet, Copenhagen, Denmark.
Hans Skovgaard PoulsenDepartment of Radiation Biology, Rigshospitalet, Copenhagen, Denmark.
Rigshospitalet · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite extensive treatment, overall survival (OS) for glioblastoma (GBM) remains poor. A small proportion of patients present long survival over 3 years, but the underlying molecular background separating these long-term survivors (LTS) from short-term survivors (STS) are insufficiently understood. Accordingly, study aim was to identify independent prognostic biomarkers for survival. Study cohort consisted of 93 primary GBM patients treated with radiation-, chemo- and bevacizumab therapy, among which 14 STS (OS ≤ 12 months) and 6 LTS (OS ≥ 36 months) were identified, all confirmed being IDH wild-type. RNA expression levels in diagnostic tumor specimen for 792 genes were analyzed by NanoString technology. While no differences were found with regard to GBM subtype between LTS versus STS, comparative analysis of individual genes identified 14 significantly differently expressed candidate genes. Univariate analysis in the whole patient cohort found that 12 of these were significantly associated with OS, of which increased IFNG, CXCL9, LGALS4, CD34 and decreased MGMT levels remained significant associated with prolonged OS in multivariate analysis correcting for known prognostic variables. Validation analyses in an independent dataset from the AVAglio study confirmed CD34 as significant in comparative analysis between STS and LTS patients and as an independent prognostic factor. Analysis of this dataset further supported CD34 expression to be associated with improved bevacizumab efficacy, while CD34 immunohistochemistry indicated variation in CD34 expression to result primarily from varying tumor vascularization. Collectively, CD34 expression candidates as a prognostic biomarker in GBM able to identify survival outliers and could also be predictive for efficacy of bevacizumab.

Indexed as

AdultAgedAntigens, CD34Biomarkers, TumorBrain NeoplasmsCohort StudiesFemaleGene Expression Regulation, NeoplasticGlioblastomaHumansMaleMiddle AgedPrognosisRNA, MessengerSurvival AnalysisSurvivorsAntigens, CD34Biomarkers, TumorRNA, MessengerBiomarkersCD34GBMLTSMGMTNanoString

Identifiers

PMID29305787
OpenAlexW2781485423

What OpenQuestion holds

Textmetadata
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.