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Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness

The data presented in this article are related to the research paper entitled “The biological age linked to oxidative stress modifies breast cancer aggressiveness” (M.M. Sáez-Freire, A. Blanco-Gómez, S. Castillo-Lluva, A. Gómez-Vecino, J.M. Galvis-Jiménez, C. Martín-Seisdedos, M. Isidoro-García, L....

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Autores principales: Sáez-Freire, María del Mar, Blanco-Gómez, Adrián, Castillo-Lluva, Sonia, Gómez-Vecino, Aurora, Galvis-Jiménez, Julie Milena, Martín-Seisdedos, Carmen, Isidoro-García, María, Hontecillas-Prieto, Lourdes, García-Cenador, María Begoña, García-Criado, Francisco Javier, Patino-Alonso, María Carmen, Galindo-Villardón, Purificación, Mao, Jian-Hua, Prieto, Carlos, Castellanos-Martín, Andrés, Kaderali, Lars, Pérez-Losada, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996612/
https://www.ncbi.nlm.nih.gov/pubmed/29900291
http://dx.doi.org/10.1016/j.dib.2018.03.132
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author Sáez-Freire, María del Mar
Blanco-Gómez, Adrián
Castillo-Lluva, Sonia
Gómez-Vecino, Aurora
Galvis-Jiménez, Julie Milena
Martín-Seisdedos, Carmen
Isidoro-García, María
Hontecillas-Prieto, Lourdes
García-Cenador, María Begoña
García-Criado, Francisco Javier
Patino-Alonso, María Carmen
Galindo-Villardón, Purificación
Mao, Jian-Hua
Prieto, Carlos
Castellanos-Martín, Andrés
Kaderali, Lars
Pérez-Losada, Jesús
author_facet Sáez-Freire, María del Mar
Blanco-Gómez, Adrián
Castillo-Lluva, Sonia
Gómez-Vecino, Aurora
Galvis-Jiménez, Julie Milena
Martín-Seisdedos, Carmen
Isidoro-García, María
Hontecillas-Prieto, Lourdes
García-Cenador, María Begoña
García-Criado, Francisco Javier
Patino-Alonso, María Carmen
Galindo-Villardón, Purificación
Mao, Jian-Hua
Prieto, Carlos
Castellanos-Martín, Andrés
Kaderali, Lars
Pérez-Losada, Jesús
author_sort Sáez-Freire, María del Mar
collection PubMed
description The data presented in this article are related to the research paper entitled “The biological age linked to oxidative stress modifies breast cancer aggressiveness” (M.M. Sáez-Freire, A. Blanco-Gómez, S. Castillo-Lluva, A. Gómez-Vecino, J.M. Galvis-Jiménez, C. Martín-Seisdedos, M. Isidoro-García, L. Hontecillas-Prieto, M.B. García-Cenador, F.J. García-Criado, M.C. Patino-Alonso, P. Galindo-Villardón, J.H. Mao, C. Prieto, A. Castellanos-Martín, L. Kaderali, J. Pérez-Losada). The data shown were obtained from a population of transgenic mice, MMTV-Erbb2/Neu, with different susceptibility to breast cancer and a mixed genetic background generated by backcrossing. It was observed that the aggressiveness of breast cancer negatively correlates with age, being lower in chronologically old mice, similar to what occurs in humans. Given that oxidative stress is associated with tumour susceptibility and the degree of aging, the association between the aggressiveness of breast cancer and multiple intermediate phenotypes directly or indirectly related to oxidative stress was studied. Using a mathematical model, we defined biological age and the degree of aging as the difference between biological and chronological ages. As a result, we observed that biologically old mice predominated among those that developed the disease early on, that is, those that were chronologically young. We then identified the specific and common genetic components of Quantitative Trait loci or QTL associated with different evolution of breast cancer, the intermediate phenotypes related to oxidative stress studied, the biological age and the degree of aging. Lastly, we showed that the expression pattern in the livers of biologically old mice were enriched in signalling pathways related to inflammation and response to infections; whereas the biologically young mice exhibited enriched pathways related to mitochondrial activity. For the explanation and discussion of these data refer to the research article cited above.
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spelling pubmed-59966122018-06-13 Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness Sáez-Freire, María del Mar Blanco-Gómez, Adrián Castillo-Lluva, Sonia Gómez-Vecino, Aurora Galvis-Jiménez, Julie Milena Martín-Seisdedos, Carmen Isidoro-García, María Hontecillas-Prieto, Lourdes García-Cenador, María Begoña García-Criado, Francisco Javier Patino-Alonso, María Carmen Galindo-Villardón, Purificación Mao, Jian-Hua Prieto, Carlos Castellanos-Martín, Andrés Kaderali, Lars Pérez-Losada, Jesús Data Brief Medicine and Dentistry The data presented in this article are related to the research paper entitled “The biological age linked to oxidative stress modifies breast cancer aggressiveness” (M.M. Sáez-Freire, A. Blanco-Gómez, S. Castillo-Lluva, A. Gómez-Vecino, J.M. Galvis-Jiménez, C. Martín-Seisdedos, M. Isidoro-García, L. Hontecillas-Prieto, M.B. García-Cenador, F.J. García-Criado, M.C. Patino-Alonso, P. Galindo-Villardón, J.H. Mao, C. Prieto, A. Castellanos-Martín, L. Kaderali, J. Pérez-Losada). The data shown were obtained from a population of transgenic mice, MMTV-Erbb2/Neu, with different susceptibility to breast cancer and a mixed genetic background generated by backcrossing. It was observed that the aggressiveness of breast cancer negatively correlates with age, being lower in chronologically old mice, similar to what occurs in humans. Given that oxidative stress is associated with tumour susceptibility and the degree of aging, the association between the aggressiveness of breast cancer and multiple intermediate phenotypes directly or indirectly related to oxidative stress was studied. Using a mathematical model, we defined biological age and the degree of aging as the difference between biological and chronological ages. As a result, we observed that biologically old mice predominated among those that developed the disease early on, that is, those that were chronologically young. We then identified the specific and common genetic components of Quantitative Trait loci or QTL associated with different evolution of breast cancer, the intermediate phenotypes related to oxidative stress studied, the biological age and the degree of aging. Lastly, we showed that the expression pattern in the livers of biologically old mice were enriched in signalling pathways related to inflammation and response to infections; whereas the biologically young mice exhibited enriched pathways related to mitochondrial activity. For the explanation and discussion of these data refer to the research article cited above. Elsevier 2018-04-03 /pmc/articles/PMC5996612/ /pubmed/29900291 http://dx.doi.org/10.1016/j.dib.2018.03.132 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Medicine and Dentistry
Sáez-Freire, María del Mar
Blanco-Gómez, Adrián
Castillo-Lluva, Sonia
Gómez-Vecino, Aurora
Galvis-Jiménez, Julie Milena
Martín-Seisdedos, Carmen
Isidoro-García, María
Hontecillas-Prieto, Lourdes
García-Cenador, María Begoña
García-Criado, Francisco Javier
Patino-Alonso, María Carmen
Galindo-Villardón, Purificación
Mao, Jian-Hua
Prieto, Carlos
Castellanos-Martín, Andrés
Kaderali, Lars
Pérez-Losada, Jesús
Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness
title Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness
title_full Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness
title_fullStr Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness
title_full_unstemmed Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness
title_short Supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness
title_sort supplementary data for the biological age linked to oxidative stress modifies breast cancer aggressiveness
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996612/
https://www.ncbi.nlm.nih.gov/pubmed/29900291
http://dx.doi.org/10.1016/j.dib.2018.03.132
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