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Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach

BACKGROUND: An essential question in cancer is why individuals with the same disease have different clinical outcomes. Progress toward a more personalized medicine in cancer patients requires taking into account the underlying heterogeneity at different molecular levels. RESULTS: Here, we present a...

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Autores principales: Castellanos-Martín, Andrés, Castillo-Lluva, Sonia, Sáez-Freire, María del Mar, Blanco-Gómez, Adrián, Hontecillas-Prieto, Lourdes, Patino-Alonso, Carmen, Galindo-Villardon, Purificación, Pérez del Villar, Luis, Martín-Seisdedos, Carmen, Isidoro-Garcia, María, Abad-Hernández, María del Mar, Cruz-Hernández, Juan Jesús, Rodríguez-Sánchez, César Augusto, González-Sarmiento, Rogelio, Alonso-López, Diego, De Las Rivas, Javier, García-Cenador, Begoña, García-Criado, Javier, Lee, Do Yup, Bowen, Benjamin, Reindl, Wolfgang, Northen, Trent, Mao, Jian-Hua, Pérez-Losada, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4389302/
https://www.ncbi.nlm.nih.gov/pubmed/25853295
http://dx.doi.org/10.1186/s13059-015-0599-z
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author Castellanos-Martín, Andrés
Castillo-Lluva, Sonia
Sáez-Freire, María del Mar
Blanco-Gómez, Adrián
Hontecillas-Prieto, Lourdes
Patino-Alonso, Carmen
Galindo-Villardon, Purificación
Pérez del Villar, Luis
Martín-Seisdedos, Carmen
Isidoro-Garcia, María
Abad-Hernández, María del Mar
Cruz-Hernández, Juan Jesús
Rodríguez-Sánchez, César Augusto
González-Sarmiento, Rogelio
Alonso-López, Diego
De Las Rivas, Javier
García-Cenador, Begoña
García-Criado, Javier
Lee, Do Yup
Bowen, Benjamin
Reindl, Wolfgang
Northen, Trent
Mao, Jian-Hua
Pérez-Losada, Jesús
author_facet Castellanos-Martín, Andrés
Castillo-Lluva, Sonia
Sáez-Freire, María del Mar
Blanco-Gómez, Adrián
Hontecillas-Prieto, Lourdes
Patino-Alonso, Carmen
Galindo-Villardon, Purificación
Pérez del Villar, Luis
Martín-Seisdedos, Carmen
Isidoro-Garcia, María
Abad-Hernández, María del Mar
Cruz-Hernández, Juan Jesús
Rodríguez-Sánchez, César Augusto
González-Sarmiento, Rogelio
Alonso-López, Diego
De Las Rivas, Javier
García-Cenador, Begoña
García-Criado, Javier
Lee, Do Yup
Bowen, Benjamin
Reindl, Wolfgang
Northen, Trent
Mao, Jian-Hua
Pérez-Losada, Jesús
author_sort Castellanos-Martín, Andrés
collection PubMed
description BACKGROUND: An essential question in cancer is why individuals with the same disease have different clinical outcomes. Progress toward a more personalized medicine in cancer patients requires taking into account the underlying heterogeneity at different molecular levels. RESULTS: Here, we present a model in which there are complex interactions at different cellular and systemic levels that account for the heterogeneity of susceptibility to and evolution of ERBB2-positive breast cancers. Our model is based on our analyses of a cohort of mice that are characterized by heterogeneous susceptibility to ERBB2-positive breast cancers. Our analysis reveals that there are similarities between ERBB2 tumors in humans and those of backcross mice at clinical, genomic, expression, and signaling levels. We also show that mice that have tumors with intrinsically high levels of active AKT and ERK are more resistant to tumor metastasis. Our findings suggest for the first time that a site-specific phosphorylation at the serine 473 residue of AKT1 modifies the capacity for tumors to disseminate. Finally, we present two predictive models that can explain the heterogeneous behavior of the disease in the mouse population when we consider simultaneously certain genetic markers, liver cell signaling and serum biomarkers that are identified before the onset of the disease. CONCLUSIONS: Considering simultaneously tumor pathophenotypes and several molecular levels, we show the heterogeneous behavior of ERBB2-positive breast cancer in terms of disease progression. This and similar studies should help to better understand disease variability in patient populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0599-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-43893022015-04-09 Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach Castellanos-Martín, Andrés Castillo-Lluva, Sonia Sáez-Freire, María del Mar Blanco-Gómez, Adrián Hontecillas-Prieto, Lourdes Patino-Alonso, Carmen Galindo-Villardon, Purificación Pérez del Villar, Luis Martín-Seisdedos, Carmen Isidoro-Garcia, María Abad-Hernández, María del Mar Cruz-Hernández, Juan Jesús Rodríguez-Sánchez, César Augusto González-Sarmiento, Rogelio Alonso-López, Diego De Las Rivas, Javier García-Cenador, Begoña García-Criado, Javier Lee, Do Yup Bowen, Benjamin Reindl, Wolfgang Northen, Trent Mao, Jian-Hua Pérez-Losada, Jesús Genome Biol Research BACKGROUND: An essential question in cancer is why individuals with the same disease have different clinical outcomes. Progress toward a more personalized medicine in cancer patients requires taking into account the underlying heterogeneity at different molecular levels. RESULTS: Here, we present a model in which there are complex interactions at different cellular and systemic levels that account for the heterogeneity of susceptibility to and evolution of ERBB2-positive breast cancers. Our model is based on our analyses of a cohort of mice that are characterized by heterogeneous susceptibility to ERBB2-positive breast cancers. Our analysis reveals that there are similarities between ERBB2 tumors in humans and those of backcross mice at clinical, genomic, expression, and signaling levels. We also show that mice that have tumors with intrinsically high levels of active AKT and ERK are more resistant to tumor metastasis. Our findings suggest for the first time that a site-specific phosphorylation at the serine 473 residue of AKT1 modifies the capacity for tumors to disseminate. Finally, we present two predictive models that can explain the heterogeneous behavior of the disease in the mouse population when we consider simultaneously certain genetic markers, liver cell signaling and serum biomarkers that are identified before the onset of the disease. CONCLUSIONS: Considering simultaneously tumor pathophenotypes and several molecular levels, we show the heterogeneous behavior of ERBB2-positive breast cancer in terms of disease progression. This and similar studies should help to better understand disease variability in patient populations. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-015-0599-z) contains supplementary material, which is available to authorized users. BioMed Central 2015-02-21 2015 /pmc/articles/PMC4389302/ /pubmed/25853295 http://dx.doi.org/10.1186/s13059-015-0599-z Text en © Castellanos-Martín et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Castellanos-Martín, Andrés
Castillo-Lluva, Sonia
Sáez-Freire, María del Mar
Blanco-Gómez, Adrián
Hontecillas-Prieto, Lourdes
Patino-Alonso, Carmen
Galindo-Villardon, Purificación
Pérez del Villar, Luis
Martín-Seisdedos, Carmen
Isidoro-Garcia, María
Abad-Hernández, María del Mar
Cruz-Hernández, Juan Jesús
Rodríguez-Sánchez, César Augusto
González-Sarmiento, Rogelio
Alonso-López, Diego
De Las Rivas, Javier
García-Cenador, Begoña
García-Criado, Javier
Lee, Do Yup
Bowen, Benjamin
Reindl, Wolfgang
Northen, Trent
Mao, Jian-Hua
Pérez-Losada, Jesús
Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
title Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
title_full Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
title_fullStr Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
title_full_unstemmed Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
title_short Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
title_sort unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4389302/
https://www.ncbi.nlm.nih.gov/pubmed/25853295
http://dx.doi.org/10.1186/s13059-015-0599-z
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