Evidence map›Paper›PMID 26108672›Full record

ArticleBMC cancer2015

Quantitative proteomic analysis shows differentially expressed HSPB1 in glioblastoma as a discriminating short from long survival factor and NOVA1 as a differentiation factor between low-grade astrocytoma and oligodendroglioma.

Marcela Gimenez, Suely Kazue Nagahashi Marie, Sueli Oba-Shinjo, Miyuki Uno, Clarice Izumi, João Bosco Oliveira, Jose Cesar Rosa

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 55 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

7 authors at 3 institutions in 1 country.

Marcela GimenezDepartment Molecular and Cell Biology and Protein Chemistry Center, CTC-Center for Cell Therapy-CEPID-FAPESP-Hemocentro de Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil.
Suely Kazue Nagahashi MarieDepartment of Neurology, São Paulo Medical School, University of Sao Paulo, Av. Bandeirantes, 3900-14049-900, Ribeirão Preto, São Paulo, Brazil.
Sueli Oba-ShinjoDepartment of Neurology, São Paulo Medical School, University of Sao Paulo, Av. Bandeirantes, 3900-14049-900, Ribeirão Preto, São Paulo, Brazil.
Miyuki UnoDepartment of Neurology, São Paulo Medical School, University of Sao Paulo, Av. Bandeirantes, 3900-14049-900, Ribeirão Preto, São Paulo, Brazil.
Clarice IzumiDepartment Molecular and Cell Biology and Protein Chemistry Center, CTC-Center for Cell Therapy-CEPID-FAPESP-Hemocentro de Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil.
João Bosco OliveiraInstituto de Medicina Integral Prof. Fernando Figueira-IMIP, Pernambuco, Brazil.
Jose Cesar RosaDepartment Molecular and Cell Biology and Protein Chemistry Center, CTC-Center for Cell Therapy-CEPID-FAPESP-Hemocentro de Ribeirão Preto, Ribeirão Preto Medical School, University of São Paulo, São Paulo, Brazil. jcrosa@fmrp.usp.br.
Universidade de São Paulo · BRFundação de Amparo à Pesquisa do Estado de São Paulo · BRInstituto de Medicina Integral Professor Fernando Figueira · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGliomas account for more than 60 % of all primary central nervous system neoplasms. Low-grade gliomas display a tendency to progress to more malignant phenotypes and the most frequent and malignant gliomas are glioblastomas (GBM). Another type of glioma, oligodendroglioma originates from oligodendrocytes and glial precursor cells and represents 2-5 % of gliomas. The discrimination between these two types of glioma is actually controversial, thus, a molecular distinction is necessary for better diagnosis.

methodsiTRAQ-based quantitative proteomic analysis was performed on non-neoplastic brain tissue, on astrocytoma grade II, glioblastoma with short and long survival and oligodendrogliomas.

resultsWe found that expression of nucleophosmin (NPM1), glucose regulated protein 78 kDa (GRP78), nucleolin (NCL) and heat shock protein 90 kDa (HSP90B1) were increased, Raf kinase inhibitor protein (RKIP/PEBP1) was decreased in glioblastoma and they were associated with a network related to tumor progression. Expression level of heat shock protein 27 (HSPB1/HSP27) discriminated glioblastoma presenting short (6 ± 4 months, n = 4) and long survival (43 ± 15 months, n = 4) (p = 0.00045). Expression level of RNA binding protein nova 1 (NOVA1) differentiated low-grade oligodendroglioma and astrocytoma grade II (p = 0.0082). Validation were done by Western blot, qRT-PCR and immunohistochemistry in a larger casuistry.

conclusionTaken together, our quantitative proteomic analysis detected the molecular triad, NPM1, GRP78 and RKIP participating together with NCL and HSP27/HSPB1 in a network related to tumor progression. Additionally, two new important targets were uncovered: NOVA1 useful for diagnostic refinement differentiating astrocytoma from oligodendroglioma, and HSPB1/HSP27, as a predictive factor of poor prognosis for GBM.

Indexed as

AdultAgedBiomarkers, TumorBrainEndoplasmic Reticulum Chaperone BiPGlioblastomaHeat-Shock ProteinsHSP27 Heat-Shock ProteinsHumansIsotope LabelingMiddle AgedMolecular ChaperonesNeuro-Oncological Ventral AntigenNucleophosminOligodendrogliomaPredictive Value of TestsBiomarkers, TumorEndoplasmic Reticulum Chaperone BiPHeat-Shock ProteinsHSP27 Heat-Shock ProteinsHSPA5 protein, humanHSPB1 protein, humanMolecular ChaperonesNeuro-Oncological Ventral AntigenNOVA1 protein, humanNPM1 protein, humanNucleophosminProteomeRNA-Binding Proteins

Identifiers

PMID26108672
PMCPMC4502388
OpenAlexW1821696031

What OpenQuestion holds

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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.