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A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival

The specific genes and molecules that drive physiological angiogenesis differ from those involved in pathological angiogenesis, suggesting distinct mechanisms for these seemingly related processes. Unveiling genes and pathways preferentially associated with pathologic angiogenesis is key to understa...

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Detalles Bibliográficos
Autores principales: Guarischi-Sousa, Rodrigo, Monteiro, Jhonatas S., Alecrim, Lilian C., Michaloski, Jussara S., Cardeal, Laura B., Ferreira, Elisa N., Carraro, Dirce M., Nunes, Diana N., Dias-Neto, Emmanuel, Reimand, Jüri, Boutros, Paul C., Setubal, João C., Giordano, Ricardo J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917213/
https://www.ncbi.nlm.nih.gov/pubmed/31846472
http://dx.doi.org/10.1371/journal.pgen.1008482
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author Guarischi-Sousa, Rodrigo
Monteiro, Jhonatas S.
Alecrim, Lilian C.
Michaloski, Jussara S.
Cardeal, Laura B.
Ferreira, Elisa N.
Carraro, Dirce M.
Nunes, Diana N.
Dias-Neto, Emmanuel
Reimand, Jüri
Boutros, Paul C.
Setubal, João C.
Giordano, Ricardo J.
author_facet Guarischi-Sousa, Rodrigo
Monteiro, Jhonatas S.
Alecrim, Lilian C.
Michaloski, Jussara S.
Cardeal, Laura B.
Ferreira, Elisa N.
Carraro, Dirce M.
Nunes, Diana N.
Dias-Neto, Emmanuel
Reimand, Jüri
Boutros, Paul C.
Setubal, João C.
Giordano, Ricardo J.
author_sort Guarischi-Sousa, Rodrigo
collection PubMed
description The specific genes and molecules that drive physiological angiogenesis differ from those involved in pathological angiogenesis, suggesting distinct mechanisms for these seemingly related processes. Unveiling genes and pathways preferentially associated with pathologic angiogenesis is key to understanding its mechanisms, thereby facilitating development of novel approaches to managing angiogenesis-dependent diseases. To better understand these different processes, we elucidated the transcriptome of the mouse retina in the well-accepted oxygen-induced retinopathy (OIR) model of pathological angiogenesis. We identified 153 genes changed between normal and OIR retinas, which represent a molecular signature relevant to other angiogenesis-dependent processes such as cancer. These genes robustly predict the survival of breast cancer patients, which was validated in an independent 1,000-patient test cohort (40% difference in 15-year survival; p = 2.56 x 10(−21)). These results suggest that the OIR model reveals key genes involved in pathological angiogenesis, and these may find important applications in stratifying tumors for treatment intensification or for angiogenesis-targeted therapies.
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spelling pubmed-69172132019-12-27 A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival Guarischi-Sousa, Rodrigo Monteiro, Jhonatas S. Alecrim, Lilian C. Michaloski, Jussara S. Cardeal, Laura B. Ferreira, Elisa N. Carraro, Dirce M. Nunes, Diana N. Dias-Neto, Emmanuel Reimand, Jüri Boutros, Paul C. Setubal, João C. Giordano, Ricardo J. PLoS Genet Research Article The specific genes and molecules that drive physiological angiogenesis differ from those involved in pathological angiogenesis, suggesting distinct mechanisms for these seemingly related processes. Unveiling genes and pathways preferentially associated with pathologic angiogenesis is key to understanding its mechanisms, thereby facilitating development of novel approaches to managing angiogenesis-dependent diseases. To better understand these different processes, we elucidated the transcriptome of the mouse retina in the well-accepted oxygen-induced retinopathy (OIR) model of pathological angiogenesis. We identified 153 genes changed between normal and OIR retinas, which represent a molecular signature relevant to other angiogenesis-dependent processes such as cancer. These genes robustly predict the survival of breast cancer patients, which was validated in an independent 1,000-patient test cohort (40% difference in 15-year survival; p = 2.56 x 10(−21)). These results suggest that the OIR model reveals key genes involved in pathological angiogenesis, and these may find important applications in stratifying tumors for treatment intensification or for angiogenesis-targeted therapies. Public Library of Science 2019-12-17 /pmc/articles/PMC6917213/ /pubmed/31846472 http://dx.doi.org/10.1371/journal.pgen.1008482 Text en © 2019 Guarischi-Sousa et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited.
spellingShingle Research Article
Guarischi-Sousa, Rodrigo
Monteiro, Jhonatas S.
Alecrim, Lilian C.
Michaloski, Jussara S.
Cardeal, Laura B.
Ferreira, Elisa N.
Carraro, Dirce M.
Nunes, Diana N.
Dias-Neto, Emmanuel
Reimand, Jüri
Boutros, Paul C.
Setubal, João C.
Giordano, Ricardo J.
A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
title A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
title_full A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
title_fullStr A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
title_full_unstemmed A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
title_short A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
title_sort transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6917213/
https://www.ncbi.nlm.nih.gov/pubmed/31846472
http://dx.doi.org/10.1371/journal.pgen.1008482
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