Evidence map›Paper›PMID 24349289›Full record

ArticlePloS one2013

Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression.

Ricardo D'Oliveira Albanus, Rodrigo Juliani Siqueira Dalmolin, Mauro Antônio Alves Castro, Matheus Augusto de Bittencourt Pasquali, Vitor de Miranda Ramos, Daniel Pens Gelain, José Cláudio Fonseca Moreira

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 14 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 1 institution in 1 country.

Ricardo D'Oliveira AlbanusDepartamento de Bioquímica, Núcleo de Bioinformática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil.
Rodrigo Juliani Siqueira DalmolinDepartamento de Bioquímica, Núcleo de Bioinformática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil.
Mauro Antônio Alves CastroDepartamento de Bioquímica, Núcleo de Bioinformática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil.
Matheus Augusto de Bittencourt PasqualiDepartamento de Bioquímica, Núcleo de Bioinformática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil.
Vitor de Miranda RamosDepartamento de Bioquímica, Núcleo de Bioinformática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil.
Daniel Pens GelainDepartamento de Bioquímica, Núcleo de Bioinformática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil.
José Cláudio Fonseca MoreiraDepartamento de Bioquímica, Núcleo de Bioinformática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brasil.
Universidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastoma is the most common extracranial tumor and a major cause of infant cancer mortality worldwide. Despite its importance, little is known about its molecular mechanisms. A striking feature of this tumor is its clinical heterogeneity. Possible outcomes range from aggressive invasion to other tissues, causing patient death, to spontaneous disease regression or differentiation into benign ganglioneuromas. Several efforts have been made in order to find tumor progression markers. In this work, we have reconstructed the neuroblastoma regulatory network using an information-theoretic approach in order to find genes involved in tumor progression and that could be used as outcome predictors or as therapeutic targets. We have queried the reconstructed neuroblastoma regulatory network using an aggressive neuroblastoma metastasis gene signature in order to find its master regulators (MRs). MRs expression profiles were then investigated in other neuroblastoma datasets so as to detect possible clinical significance. Our analysis pointed MAX as one of the MRs of neuroblastoma progression. We have found that higher MAX expression correlated with favorable patient outcomes. We have also found that MAX expression and protein levels were increased during neuroblastoma SH-SY5Y cells differentiation. We propose that MAX is involved in neuroblastoma progression, possibly increasing cell differentiation by means of regulating the availability of MYC:MAX heterodimers. This mechanism is consistent with the results found in our SH-SY5Y differentiation protocol, suggesting that MAX has a more central role in these cells differentiation than previously reported. Overexpression of MAX has been identified as anti-tumorigenic in other works, but, to our knowledge, this is the first time that the link between the expression of this gene and malignancy was verified under physiological conditions.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsBasic-Leucine Zipper Transcription FactorsCell Line, TumorCluster AnalysisDisease ProgressionGene Expression ProfilingHumansModels, BiologicalNeuroblastomaSignal TransductionTumor Cells, CulturedBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsBasic-Leucine Zipper Transcription FactorsMyc associated factor XTFEC protein, human

Identifiers

PMID24349289
PMCPMC3857773
OpenAlexW2040009421

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.