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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Main Authors: Rodrigo Guarischi-Sousa, Jhonatas S Monteiro, Lilian C Alecrim, Jussara S Michaloski, Laura B Cardeal, Elisa N Ferreira, Dirce M Carraro, Diana N Nunes, Emmanuel Dias-Neto, Jüri Reimand, Paul C Boutros, João C Setubal, Ricardo J Giordano
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-12-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1008482
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author Rodrigo Guarischi-Sousa
Jhonatas S Monteiro
Lilian C Alecrim
Jussara S Michaloski
Laura B Cardeal
Elisa N Ferreira
Dirce M Carraro
Diana N Nunes
Emmanuel Dias-Neto
Jüri Reimand
Paul C Boutros
João C Setubal
Ricardo J Giordano
author_facet Rodrigo Guarischi-Sousa
Jhonatas S Monteiro
Lilian C Alecrim
Jussara S Michaloski
Laura B Cardeal
Elisa N Ferreira
Dirce M Carraro
Diana N Nunes
Emmanuel Dias-Neto
Jüri Reimand
Paul C Boutros
João C Setubal
Ricardo J Giordano
author_sort Rodrigo Guarischi-Sousa
collection DOAJ
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 doaj.art-bd9ea154b54a4fc9a8adc64f2394eb232022-12-21T21:29:45ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042019-12-011512e100848210.1371/journal.pgen.1008482A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival.Rodrigo Guarischi-SousaJhonatas S MonteiroLilian C AlecrimJussara S MichaloskiLaura B CardealElisa N FerreiraDirce M CarraroDiana N NunesEmmanuel Dias-NetoJüri ReimandPaul C BoutrosJoão C SetubalRicardo J GiordanoThe 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.https://doi.org/10.1371/journal.pgen.1008482
spellingShingle Rodrigo Guarischi-Sousa
Jhonatas S Monteiro
Lilian C Alecrim
Jussara S Michaloski
Laura B Cardeal
Elisa N Ferreira
Dirce M Carraro
Diana N Nunes
Emmanuel Dias-Neto
Jüri Reimand
Paul C Boutros
João C Setubal
Ricardo J Giordano
A transcriptome-based signature of pathological angiogenesis predicts breast cancer patient survival.
PLoS Genetics
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
url https://doi.org/10.1371/journal.pgen.1008482
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