Evidence map›Paper›PMID 33903940›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2021

A coordinated approach for the assessment of molecular subgroups in pediatric ependymomas using low-cost methods.

Graziella Ribeiro de Sousa, Régia Caroline Peixoto Lira, Taciani de Almeida Magalhães, Keteryne Rodrigues da Silva, Luis Fernando Peinado Nagano, Fabiano Pinto Saggioro, Mirella Baroni, Suely Kazue Nagahashi Marie, Sueli Mieko Oba-Shinjo, Silvia Brandelise and 5 more

Abstract read
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In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  3. The importance of basic and translational research in caring for children with malignant solid tumors in Latin America.Revista panamericana de salud publica = Pan American journal of public health · 2024
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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

15 authors at 5 institutions in 2 countries.

Graziella Ribeiro de SousaDepartment of Genetics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil. graziellasousa@usp.br.ORCID 0000-0003-1809-8539
Régia Caroline Peixoto LiraDepartment of Paediatrics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Taciani de Almeida MagalhãesDepartment of Genetics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Keteryne Rodrigues da SilvaDepartment of Genetics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Luis Fernando Peinado NaganoDepartment of Genetics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Fabiano Pinto SaggioroDepartment of Pathology, Ribeirão Preto Medical School, Ribeirão Preto, 3900 Bandeirantes Avenue, SP, 14049-900, Brazil.
Mirella BaroniDepartment of Paediatrics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Suely Kazue Nagahashi MarieLaboratory of Cellular and Molecular Biology, Department of Neurology, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil.
Sueli Mieko Oba-ShinjoLaboratory of Cellular and Molecular Biology, Department of Neurology, Faculdade de Medicina FMUSP, Universidade de São Paulo, São Paulo, SP, Brazil.
Silvia BrandeliseBoldrini Institute Center , Campinas, SP, Brazil.
Rosane Gomes de Paula QueirozDepartment of Paediatrics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
María Sol BrassescoFaculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Ribeirão Preto, 3900 Bandeirantes Avenue, SP, 14040-901, Brazil.
Carlos Alberto ScrideliDepartment of Genetics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Luiz Gonzaga Tone *Department of Genetics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Elvis Terci Valera *Department of Paediatrics, Ribeirão Preto Medical School, 3900 Bandeirantes Avenue, Ribeirão Preto, SP, 14049-900, Brazil.
Clinics Hospital of Ribeirão Preto · BRUniversidade de São Paulo · BRCentro Infantil Boldrini · BRHarvard University · USUniversidade Federal do Triângulo Mineiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although ependymoma (EPN) molecular subgroups have been well established by integrated high-throughput platforms, low- and middle-income countries still need low-cost techniques to promptly classify these molecular subtypes. Here, we applied low-cost methods to classify EPNs from a Brazilian cohort with 60 pediatric EPN patients. Fusion transcripts (C11orf95-RELA, YAP1-MAMLD1, and YAP1-FAM118B) were investigated in supratentorial EPN (ST-EPNs) samples through RT-PCR/Sanger sequencing and immunohistochemistry (IHC) for p65/L1CAM. qRT-PCR and IHC were used to evaluate expression profiling of CXorf67, LAMA2, NELL2, and H3K27me3 in posterior fossa EPN (PF-EPNs) samples. In silico analysis was performed using public microarray data to validate the molecular assignment PF-EPNs with LAMA2/NELL2 markers. RELA cases and YAP1-MAMLD1 fusions were identified in nine and four ST-EPNs, respectively. An additional RELA case was identified by IHC. Of note, LAMA2 and NELL2 gene expression and immunoprofiling were less accurate for classifying PF-EPNs, which were confirmed by in silico analysis. Yet, H3K27me3 staining was sufficient to classify PF-EPN subgroups. Our results emphasize the feasibility of a simplified strategy to molecularly classify EPNs in the vast majority of cases (49/60; 81.7%). A coordinated combination of simple methods can be effective to screen pediatric EPN with the available laboratory resources at most low-/mid-income countries, giving support for clinical practice in pediatric EPN. KEY MESSAGES: Low- and middle-income countries need effective low-cost approaches to promptly distinguish between EPN molecular subgroups. RT-PCR plus Sanger sequencing is able to recognize the most common types of RELA and YAP1 fusion transcripts in ST-EPNs. Genetic and protein expressions of LAMA2 and NELL2 are of limited value to accurately stratify PF-EPNs. Immunohistochemical staining for H3K27me3 may be used as a robust method to accurately diagnose PF-EPNs subgroups. A coordinated flow diagram based on these validated low-cost methods is proposed to help clinical-decision making and to reduce costs with NGS assessment outside research protocols.

Indexed as

AlgorithmsBiomarkers, TumorBrazilChildComputational BiologyDisease ManagementDisease SusceptibilityEpendymomaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunohistochemistryMaleMolecular Diagnostic TechniquesNeoplasm GradingBiomarkers, TumorOncogene Proteins, FusionEpendymomaFusion transcriptsH3K27 trimethylationLow-cost techniquesMolecular subgroups

Identifiers

PMID33903940
OpenAlexW3157121382

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.