Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer

Detalhes bibliográficos
Autor(a) principal: Andrade,Fernando
Data de Publicação: 2020
Outros Autores: Nakata,Asuka, Gotoh,Noriko, Fujita,André
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572020000100110
Resumo: Abstract Triple negative breast cancer (TNBC) is currently the only major breast tumor subtype without effective targeted therapy and, as a consequence, usually presents a poor outcome. Due to its more aggressive phenotype, there is an urgent clinical need to identify novel biomarkers that discriminate individuals with poor prognosis. We hypothesize that miRNAs can be used to this end because they are involved in the initiation and progression of tumors by altering the expression of their target genes. To identify a prognostic biomarker in TNBC, we analyzed the miRNA expression of a cohort composed of 185 patients diagnosed with TNBC using penalized Cox regression models. We identified a four-biomarker signature based on miR-221, miR-1305, miR-4708, and RMDN2 expression levels that allowed for the subdivision of TNBC into high- or low-risk groups (Hazard Ratio – HR = 0.32; 95% Confidence Interval - CI = 0.11–0.91; p = 0.03) and are also statistically associated with survival outcome in subgroups of postmenopausal status (HR = 0.19; 95% CI = 0.04–0.90; p= 0.016), node negative status (HR = 0.12; 95% CI = 0.01–1.04; p = 0.026), and tumors larger than 2cm (HR = 0.21; 95% CI = 0.05–0.81; p = 0.021). This four-biomarker signature was significantly associated with TNBC as an independent prognostic factor for survival.
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spelling Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancermiRNAmiR-221miR-1305miR-4708RMDN2Abstract Triple negative breast cancer (TNBC) is currently the only major breast tumor subtype without effective targeted therapy and, as a consequence, usually presents a poor outcome. Due to its more aggressive phenotype, there is an urgent clinical need to identify novel biomarkers that discriminate individuals with poor prognosis. We hypothesize that miRNAs can be used to this end because they are involved in the initiation and progression of tumors by altering the expression of their target genes. To identify a prognostic biomarker in TNBC, we analyzed the miRNA expression of a cohort composed of 185 patients diagnosed with TNBC using penalized Cox regression models. We identified a four-biomarker signature based on miR-221, miR-1305, miR-4708, and RMDN2 expression levels that allowed for the subdivision of TNBC into high- or low-risk groups (Hazard Ratio – HR = 0.32; 95% Confidence Interval - CI = 0.11–0.91; p = 0.03) and are also statistically associated with survival outcome in subgroups of postmenopausal status (HR = 0.19; 95% CI = 0.04–0.90; p= 0.016), node negative status (HR = 0.12; 95% CI = 0.01–1.04; p = 0.026), and tumors larger than 2cm (HR = 0.21; 95% CI = 0.05–0.81; p = 0.021). This four-biomarker signature was significantly associated with TNBC as an independent prognostic factor for survival.Sociedade Brasileira de Genética2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572020000100110Genetics and Molecular Biology v.43 n.1 2020reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/1678-4685-gmb-2018-0269info:eu-repo/semantics/openAccessAndrade,FernandoNakata,AsukaGotoh,NorikoFujita,Andréeng2020-03-03T00:00:00Zoai:scielo:S1415-47572020000100110Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2020-03-03T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
title Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
spellingShingle Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
Andrade,Fernando
miRNA
miR-221
miR-1305
miR-4708
RMDN2
title_short Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
title_full Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
title_fullStr Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
title_full_unstemmed Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
title_sort Large miRNA survival analysis reveals a prognostic four-biomarker signature for triple negative breast cancer
author Andrade,Fernando
author_facet Andrade,Fernando
Nakata,Asuka
Gotoh,Noriko
Fujita,André
author_role author
author2 Nakata,Asuka
Gotoh,Noriko
Fujita,André
author2_role author
author
author
dc.contributor.author.fl_str_mv Andrade,Fernando
Nakata,Asuka
Gotoh,Noriko
Fujita,André
dc.subject.por.fl_str_mv miRNA
miR-221
miR-1305
miR-4708
RMDN2
topic miRNA
miR-221
miR-1305
miR-4708
RMDN2
description Abstract Triple negative breast cancer (TNBC) is currently the only major breast tumor subtype without effective targeted therapy and, as a consequence, usually presents a poor outcome. Due to its more aggressive phenotype, there is an urgent clinical need to identify novel biomarkers that discriminate individuals with poor prognosis. We hypothesize that miRNAs can be used to this end because they are involved in the initiation and progression of tumors by altering the expression of their target genes. To identify a prognostic biomarker in TNBC, we analyzed the miRNA expression of a cohort composed of 185 patients diagnosed with TNBC using penalized Cox regression models. We identified a four-biomarker signature based on miR-221, miR-1305, miR-4708, and RMDN2 expression levels that allowed for the subdivision of TNBC into high- or low-risk groups (Hazard Ratio – HR = 0.32; 95% Confidence Interval - CI = 0.11–0.91; p = 0.03) and are also statistically associated with survival outcome in subgroups of postmenopausal status (HR = 0.19; 95% CI = 0.04–0.90; p= 0.016), node negative status (HR = 0.12; 95% CI = 0.01–1.04; p = 0.026), and tumors larger than 2cm (HR = 0.21; 95% CI = 0.05–0.81; p = 0.021). This four-biomarker signature was significantly associated with TNBC as an independent prognostic factor for survival.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv 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://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572020000100110
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572020000100110
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1678-4685-gmb-2018-0269
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.43 n.1 2020
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
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instname_str Sociedade Brasileira de Genética (SBG)
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institution SBG
reponame_str Genetics and Molecular Biology
collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
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