ArticlePloS one2013
Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression.
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.
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Who cites it
13 citing papers in PubMed, 14 citations in OpenAlex.
- Medulloblastoma's master regulators and their association with patients' risk.Scientific reports · 2025Article
- Revealing metastatic castration-resistant prostate cancer master regulator through lncRNAs-centered regulatory network.Cancer medicine · 2023Article
- Single-Cell Sequencing Identifies Master Regulators Affected by Panobinostat in Neuroblastoma Cells.Genes · 2022Article
- Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.Biomedicines · 2021Article
- Article
- DFT-based reactivity and combined QSAR, molecular docking of 1,2,4,5-Tetrazine derivatives as inhibitors of Pim-1 kinase.Heliyon · 2019Article
- Cell death-based treatment of neuroblastoma.Cell death & disease · 2018Review
- Gene expression and molecular pathway activation signatures ofOncotarget · 2017Article
- Cell Proliferation in Neuroblastoma.Cancers · 2016Review
- Gene Expression Profile of NF-κB, Nrf2, Glycolytic, and p53 Pathways During the SH-SY5Y Neuronal Differentiation Mediated by Retinoic Acid.Molecular neurobiology · 2016Article
- Integrative omics reveals MYCN as a global suppressor of cellular signalling and enables network-based therapeutic target discovery in neuroblastoma.Oncotarget · 2015Article
- Regulatory network reconstruction reveals genes with prognostic value for chronic lymphocytic leukemia.BMC genomics · 2015Article
- Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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