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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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. |
format | Online Article Text |
id | pubmed-4389302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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