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

Detalhes bibliográficos
Autor(a) principal: Albanus, Ricardo D’Oliveira
Data de Publicação: 2013
Outros Autores: Dalmolin, Rodrigo Juliani Siqueira, Castro, Mauro Antônio Alves, Pasquali, Matheus Augusto de Bittencourt, Ramos, Vitor de Miranda, Gelain, Daniel Pens, Moreira, Jose Claudio Fonseca
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/225326
Resumo: 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.
id UFRGS-2_591dc7571cce91a35b9a96900b1eab95
oai_identifier_str oai:www.lume.ufrgs.br:10183/225326
network_acronym_str UFRGS-2
network_name_str Repositório Institucional da UFRGS
repository_id_str
spelling Albanus, Ricardo D’OliveiraDalmolin, Rodrigo Juliani SiqueiraCastro, Mauro Antônio AlvesPasquali, Matheus Augusto de BittencourtRamos, Vitor de MirandaGelain, Daniel PensMoreira, Jose Claudio Fonseca2021-08-06T04:42:58Z20131932-6203http://hdl.handle.net/10183/225326000915500Neuroblastoma 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.application/pdfengPLoS ONE. San Francisco. Vol. 8, no. 12 (Dec. 2013), e82457, 14 p.NeuroblastomaNeoplasiasDiferenciação celularReverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progressionEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT000915500.pdf.txt000915500.pdf.txtExtracted Texttext/plain53040http://www.lume.ufrgs.br/bitstream/10183/225326/2/000915500.pdf.txt3c01f2347e23260dbd19500a6582744eMD52ORIGINAL000915500.pdfTexto completo (inglês)application/pdf3299002http://www.lume.ufrgs.br/bitstream/10183/225326/1/000915500.pdf2388ae92a3d2456bce3954beac9c2eb2MD5110183/2253262023-09-24 03:40:26.847936oai:www.lume.ufrgs.br:10183/225326Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-09-24T06:40:26Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
title Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
spellingShingle Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
Albanus, Ricardo D’Oliveira
Neuroblastoma
Neoplasias
Diferenciação celular
title_short Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
title_full Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
title_fullStr Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
title_full_unstemmed Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
title_sort Reverse engineering the neuroblastoma regulatory network uncovers MAX as one of the master regulators of tumor progression
author Albanus, Ricardo D’Oliveira
author_facet Albanus, Ricardo D’Oliveira
Dalmolin, Rodrigo Juliani Siqueira
Castro, Mauro Antônio Alves
Pasquali, Matheus Augusto de Bittencourt
Ramos, Vitor de Miranda
Gelain, Daniel Pens
Moreira, Jose Claudio Fonseca
author_role author
author2 Dalmolin, Rodrigo Juliani Siqueira
Castro, Mauro Antônio Alves
Pasquali, Matheus Augusto de Bittencourt
Ramos, Vitor de Miranda
Gelain, Daniel Pens
Moreira, Jose Claudio Fonseca
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Albanus, Ricardo D’Oliveira
Dalmolin, Rodrigo Juliani Siqueira
Castro, Mauro Antônio Alves
Pasquali, Matheus Augusto de Bittencourt
Ramos, Vitor de Miranda
Gelain, Daniel Pens
Moreira, Jose Claudio Fonseca
dc.subject.por.fl_str_mv Neuroblastoma
Neoplasias
Diferenciação celular
topic Neuroblastoma
Neoplasias
Diferenciação celular
description 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.
publishDate 2013
dc.date.issued.fl_str_mv 2013
dc.date.accessioned.fl_str_mv 2021-08-06T04:42:58Z
dc.type.driver.fl_str_mv Estrangeiro
info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/225326
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.nrb.pt_BR.fl_str_mv 000915500
identifier_str_mv 1932-6203
000915500
url http://hdl.handle.net/10183/225326
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv PLoS ONE. San Francisco. Vol. 8, no. 12 (Dec. 2013), e82457, 14 p.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/225326/2/000915500.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/225326/1/000915500.pdf
bitstream.checksum.fl_str_mv 3c01f2347e23260dbd19500a6582744e
2388ae92a3d2456bce3954beac9c2eb2
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv
_version_ 1801225031518257152