Evidence map›Paper›PMID 30832734›Full record

ArticleActa neuropathologica communications2019

A simplified approach using Taqman low-density array for medulloblastoma subgrouping.

Gustavo Alencastro Veiga Cruzeiro, Karina Bezerra Salomão, Carlos Alberto Oliveira de Biagi, Martin Baumgartner, Dominik Sturm, Régia Caroline Peixoto Lira, Taciani de Almeida Magalhães, Mirella Baroni Milan, Vanessa da Silva Silveira, Fabiano Pinto Saggioro and 10 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Acta neuropathologica communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed, 27 citations in OpenAlex.

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  16. Perillyl alcohol for pediatric TP53- and RAS-mutated SHH-medulloblastoma: an in vitro and in vivo translational pre-clinical study.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 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

20 authors at 4 institutions in 3 countries.

Gustavo Alencastro Veiga CruzeiroDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil. gavcruzeiro@gmail.com.ORCID 0000-0002-0005-3984
Karina Bezerra SalomãoDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Carlos Alberto Oliveira de BiagiDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Martin BaumgartnerDepartment of Oncology, Children's Research Center, Neuro-Oncology group, University Children's Hospital Zürich, August-Forel Strasse 1, CH-8008, Zürich, Switzerland.
Dominik SturmPediatric Glioma Research Group, Hopp Children's Cancer Center at the NCT Heidelberg (KiTZ) and German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Régia Caroline Peixoto LiraDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Taciani de Almeida MagalhãesDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Mirella Baroni MilanDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Vanessa da Silva SilveiraDepartment of Genetics, Ribeirão Preto Medical School, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Fabiano Pinto SaggioroDepartment of Pathology, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, SP, 14049-900, Brazil.
Ricardo Santos de OliveiraDivision of Pediatric Neurosurgery, Department of Surgery and Anatomy, Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av.Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Paulo Henrique Dos Santos KlingerDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Ana Luiza SeidingerBoldrini Centre of Children, University of Campinas-UNICAMP, Campinas, SP, Brazil.
José Andrés YunesBoldrini Centre of Children, University of Campinas-UNICAMP, Campinas, SP, Brazil.
Rosane Gomes de Paula QueirozDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Sueli Mieko Oba-ShinjoDepartment of Neurology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.
Carlos Alberto ScrideliDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Suely Marie Kazue NagahashiDepartment of Neurology, Faculty of Medicine, University of São Paulo, São Paulo, Brazil.
Luiz Gonzaga ToneDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Elvis Terci ValeraDepartment of Pediatrics Ribeirão Preto Medical School, Hospital das Clínicas, University of São Paulo, Av. Bandeirantes 3900, Ribeirão Preto, São Paulo, Brazil.
Universidade de São Paulo · BRUniversidade Estadual de Campinas (UNICAMP) · BRGerman Cancer Research Center · DEUniversity Children's Hospital Zurich · CH

Funding

FAPESP 04/12133-6FAPESP 2013/02162-8FAPESP 2013/12006-3FAPESP 2014/19976-0FAPESP 2014/20341-0
6 · The paper itself

Abstract

Next-generation sequencing platforms are routinely used for molecular assignment due to their high impact for risk stratification and prognosis in medulloblastomas. Yet, low and middle-income countries still lack an accurate cost-effective platform to perform this allocation. TaqMan Low Density array (TLDA) assay was performed using a set of 20 genes in 92 medulloblastoma samples. The same methodology was assessed in silico using microarray data for 763 medulloblastoma samples from the GSE85217 study, which performed MB classification by a robust integrative method (Transcriptional, Methylation and cytogenetic profile). Furthermore, we validated in 11 MBs samples our proposed method by Methylation Array 450 K to assess methylation profile along with 390 MB samples (GSE109381) and copy number variations. TLDA with only 20 genes accurately assigned MB samples into WNT, SHH, Group 3 and Group 4 using Pearson distance with the average-linkage algorithm and showed concordance with molecular assignment provided by Methylation Array 450 k. Similarly, we tested this simplified set of gene signatures in 763 MB samples and we were able to recapitulate molecular assignment with an accuracy of 99.1% (SHH), 94.29% (WNT), 92.36% (Group 3) and 95.40% (Group 4), against 97.31, 97.14, 88.89 and 97.24% (respectively) with the Ward.D2 algorithm. t-SNE analysis revealed a high level of concordance (k = 4) with minor overlapping features between Group 3 and Group 4. Finally, we condensed the number of genes to 6 without significantly losing accuracy in classifying samples into SHH, WNT and non-SHH/non-WNT subgroups. Additionally, we found a relatively high frequency of WNT subgroup in our cohort, which requires further epidemiological studies. TLDA is a rapid, simple and cost-effective assay for classifying MB in low/middle income countries. A simplified method using six genes and restricting the final stratification into SHH, WNT and non-SHH/non-WNT appears to be a very interesting approach for rapid clinical decision-making.

Indexed as

AdolescentCerebellar NeoplasmsChildChild, PreschoolDNA MethylationFemaleFollow-Up StudiesHumansInfantMaleMedulloblastomaProtein Array AnalysisYoung AdultBrazilian cohortMedulloblastomaMolecular subgroupsReal-time PCR

Identifiers

PMID30832734
PMCPMC6398239
OpenAlexW2941831735

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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.