Bayesian networks established functional differences between breast cancer subtypes

Trilla-Fuertes, Lucía, Gámez-Pozo, Angelo, Arevalillo, Jorge M., López-Vacas, Rocío, López-Camacho, Elena, Prado-Vázquez, Guillermo, Zapater-Moros, Andrea, Díaz-Almirón, Mariana, Ferrer-Gómez, María, Navarro, Hilario, Nanni, Paolo, Zamora, Pilar, Espinosa, Enrique, Maín, Paloma y Fresno Vara, Juan Ángel (2020). Bayesian networks established functional differences between breast cancer subtypes,PLOS.

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Título Bayesian networks established functional differences between breast cancer subtypes
Autor(es) Trilla-Fuertes, Lucía
Gámez-Pozo, Angelo
Arevalillo, Jorge M.
López-Vacas, Rocío
López-Camacho, Elena
Prado-Vázquez, Guillermo
Zapater-Moros, Andrea
Díaz-Almirón, Mariana
Ferrer-Gómez, María
Navarro, Hilario
Nanni, Paolo
Zamora, Pilar
Espinosa, Enrique
Maín, Paloma
Fresno Vara, Juan Ángel
Materia(s) Estadística
Abstract Breast cancer is a heterogeneous disease. In clinical practice, tumors are classified as hormonal receptor positive, Her2 positive and triple negative tumors. In previous works, our group defined a new hormonal receptor positive subgroup, the TN-like subtype, which had a prognosis and a molecular profile more similar to triple negative tumors. In this study, proteomics and Bayesian networks were used to characterize protein relationships in 96 breast tumor samples. Components obtained by these methods had a clear functional structure. The analysis of these components suggested differences in processes such as mitochondrial function or extracellular matrix between breast cancer subtypes, including our new defined subtype TN-like. In addition, one of the components, mainly related with extracellular matrix processes, had prognostic value in this cohort. Functional approaches allow to build hypotheses about regulatory mechanisms and to establish new relationships among proteins in the breast cancer context.
Editor(es) PLOS
Fecha 2020-06-11
Formato application/pdf
Identificador http://e-spacio.uned.es/fez/view/bibliuned:DptoEOICN-FCIE-Articulos-Hnavarro-0006
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DOI - identifier 10.1371/journal.pone.0234752
Fuente PLOS ONE
Idioma eng
tipo/versión del documento info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Versión de la publicación publishedVersion
Nivel de acceso y licencia http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
Tipo de recurso Article
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in PLOS ONE, is available online at the publisher's website: PLOS, https://doi.org/10.1371/journal.pone.0234752. La versión registrada de este artículo, publicado por primera vez en PLOS ONE, está disponible en línea en el sitio web del editor: PLOS, https://doi.org/10.1371/journal.pone.0234752

 
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Creado: Mon, 29 Jan 2024, 22:56:11 CET