A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.

INTRODUCTION: The classification of breast cancer patients into risk groups provides a powerful tool for the identification of patients who will benefit from aggressive systemic therapy. The analysis of microarray data has generated several gene expression signatures that improve diagnosis and allow...

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Main Authors: Christian Damasco, Antonio Lembo, Maria Patrizia Somma, Maurizio Gatti, Ferdinando Di Cunto, Paolo Provero
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3046113?pdf=render
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spelling doaj-5fe7c30f74cb4d6cb418346c14daf9992020-11-25T02:03:31ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0162e1473710.1371/journal.pone.0014737A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.Christian DamascoAntonio LemboMaria Patrizia SommaMaurizio GattiFerdinando Di CuntoPaolo ProveroINTRODUCTION: The classification of breast cancer patients into risk groups provides a powerful tool for the identification of patients who will benefit from aggressive systemic therapy. The analysis of microarray data has generated several gene expression signatures that improve diagnosis and allow risk assessment. There is also evidence that cell proliferation-related genes have a high predictive power within these signatures. METHODS: We thus constructed a gene expression signature (the DM signature) using the human orthologues of 108 Drosophila melanogaster genes required for either the maintenance of chromosome integrity (36 genes) or mitotic division (72 genes). RESULTS: The DM signature has minimal overlap with the extant signatures and is highly predictive of survival in 5 large breast cancer datasets. In addition, we show that the DM signature outperforms many widely used breast cancer signatures in predictive power, and performs comparably to other proliferation-based signatures. For most genes of the DM signature, an increased expression is negatively correlated with patient survival. The genes that provide the highest contribution to the predictive power of the DM signature are those involved in cytokinesis. CONCLUSION: This finding highlights cytokinesis as an important marker in breast cancer prognosis and as a possible target for antimitotic therapies.http://europepmc.org/articles/PMC3046113?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Christian Damasco
Antonio Lembo
Maria Patrizia Somma
Maurizio Gatti
Ferdinando Di Cunto
Paolo Provero
spellingShingle Christian Damasco
Antonio Lembo
Maria Patrizia Somma
Maurizio Gatti
Ferdinando Di Cunto
Paolo Provero
A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.
PLoS ONE
author_facet Christian Damasco
Antonio Lembo
Maria Patrizia Somma
Maurizio Gatti
Ferdinando Di Cunto
Paolo Provero
author_sort Christian Damasco
title A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.
title_short A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.
title_full A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.
title_fullStr A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.
title_full_unstemmed A signature inferred from Drosophila mitotic genes predicts survival of breast cancer patients.
title_sort signature inferred from drosophila mitotic genes predicts survival of breast cancer patients.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description INTRODUCTION: The classification of breast cancer patients into risk groups provides a powerful tool for the identification of patients who will benefit from aggressive systemic therapy. The analysis of microarray data has generated several gene expression signatures that improve diagnosis and allow risk assessment. There is also evidence that cell proliferation-related genes have a high predictive power within these signatures. METHODS: We thus constructed a gene expression signature (the DM signature) using the human orthologues of 108 Drosophila melanogaster genes required for either the maintenance of chromosome integrity (36 genes) or mitotic division (72 genes). RESULTS: The DM signature has minimal overlap with the extant signatures and is highly predictive of survival in 5 large breast cancer datasets. In addition, we show that the DM signature outperforms many widely used breast cancer signatures in predictive power, and performs comparably to other proliferation-based signatures. For most genes of the DM signature, an increased expression is negatively correlated with patient survival. The genes that provide the highest contribution to the predictive power of the DM signature are those involved in cytokinesis. CONCLUSION: This finding highlights cytokinesis as an important marker in breast cancer prognosis and as a possible target for antimitotic therapies.
url http://europepmc.org/articles/PMC3046113?pdf=render
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