Evidence map›Paper›PMID 30463513›Full record

ArticleBMC molecular biology2018

Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link.

Jean-Michel Lemée, Anne Clavreul, Marc Aubry, Emmanuelle Com, Marie de Tayrac, Jean Mosser, Philippe Menei

Open access · hybridAbstract read
In one paragraph

Article in BMC molecular biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

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  11. International journal of molecular sciences · 2021
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  12. LPACells · 2021
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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

7 authors at 3 institutions in 1 country.

Jean-Michel LeméeDepartment of Neurosurgery, CHU Angers, University Hospital of Angers, 4, Rue Larrey, 49933, Angers Cedex 09, France. Lemee.jmichel@wanadoo.fr.ORCID 0000-0002-0720-9101
Anne ClavreulDepartment of Neurosurgery, CHU Angers, University Hospital of Angers, 4, Rue Larrey, 49933, Angers Cedex 09, France.
Marc AubryUEB, UMS 3480 Biosit, Faculté de Médecine, Université Rennes 1, Rennes, France.
Emmanuelle ComInserm U1085 IRSET, Université de Rennes 1, Rennes, France.
Marie de TayracUEB, UMS 3480 Biosit, Faculté de Médecine, Université Rennes 1, Rennes, France.
Jean MosserUEB, UMS 3480 Biosit, Faculté de Médecine, Université Rennes 1, Rennes, France.
Philippe MeneiDepartment of Neurosurgery, CHU Angers, University Hospital of Angers, 4, Rue Larrey, 49933, Angers Cedex 09, France.
Inserm · FRCentre National de la Recherche Scientifique · FRStructure Fédérative de Recherche en Biologie et Santé de Rennes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GB) is the most common and aggressive tumor of the brain. Genotype-based approaches and independent analyses of the transcriptome or the proteome have led to progress in understanding the underlying biology of GB. Joint transcriptome and proteome profiling may reveal new biological insights, and identify pathogenic mechanisms or therapeutic targets for GB therapy. We present a comparison of transcriptome and proteome data from five GB biopsies (TZ) vs their corresponding peritumoral brain zone (PBZ). Omic analyses were performed using RNA microarray chips and the isotope-coded protein label method (ICPL).

resultsAs described in other cancers, we found a poor correlation between transcriptome and proteome data in GB. We observed only two commonly deregulated mRNAs/proteins (neurofilament light polypeptide and synapsin 1) and 12 altered biological processes; they are related to cell communication, synaptic transmission and nervous system processes. This poor correlation may be a consequence of the techniques used to produce the omic profiles, the intrinsic properties of mRNA and proteins and/or of cancer- or GB-specific phenomena. Of interest, the analysis of the transcription factor binding sites present upstream from the open reading frames of all altered proteins identified by ICPL method shows a common binding site for the topoisomerase I and p53-binding protein TOPORS. Its expression was observed in 7/11 TZ samples and not in PBZ. Some findings suggest that TOPORS may function as a tumor suppressor; its implication in gliomagenesis should be examined in future studies.

conclusionsIn this study, we showed a low correlation between transcriptome and proteome data for GB samples as described in other cancer tissues. We observed that NEFL, SYN1 and 12 biological processes were deregulated in both the transcriptome and proteome data. It will be important to analyze more specifically these processes and these two proteins to allow the identification of new theranostic markers or potential therapeutic targets for GB.

Indexed as

ProteomeTranscriptomeAgedCase-Control StudiesComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGlioblastomaHumansMaleMiddle AgedModels, BiologicalMolecular Sequence AnnotationOrgan SpecificityProteomicsProteomeGlioblastomaMolecular biologyNEFLProteomicsSYN1TOPORSTranscriptomics

Identifiers

PMID30463513
PMCPMC6249855
OpenAlexW2901643010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.