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A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients

Although triple negative breast cancers (TNBC) are the most aggressive subtype of breast cancer, they currently lack targeted therapies. Because this classification still includes a heterogeneous collection of tumors, new tools to classify TNBCs are urgently required in order to improve our prognost...

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Autores principales: Lee, UnJin, Frankenberger, Casey, Yun, Jieun, Bevilacqua, Elena, Caldas, Carlos, Chin, Suet-Feung, Rueda, Oscar M., Reinitz, John, Rosner, Marsha Rich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859562/
https://www.ncbi.nlm.nih.gov/pubmed/24349199
http://dx.doi.org/10.1371/journal.pone.0082125
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author Lee, UnJin
Frankenberger, Casey
Yun, Jieun
Bevilacqua, Elena
Caldas, Carlos
Chin, Suet-Feung
Rueda, Oscar M.
Reinitz, John
Rosner, Marsha Rich
author_facet Lee, UnJin
Frankenberger, Casey
Yun, Jieun
Bevilacqua, Elena
Caldas, Carlos
Chin, Suet-Feung
Rueda, Oscar M.
Reinitz, John
Rosner, Marsha Rich
author_sort Lee, UnJin
collection PubMed
description Although triple negative breast cancers (TNBC) are the most aggressive subtype of breast cancer, they currently lack targeted therapies. Because this classification still includes a heterogeneous collection of tumors, new tools to classify TNBCs are urgently required in order to improve our prognostic capability for high risk patients and predict response to therapy. We previously defined a gene expression signature, RKIP Pathway Metastasis Signature (RPMS), based upon a metastasis-suppressive signaling pathway initiated by Raf Kinase Inhibitory Protein (RKIP). We have now generated a new BACH1 Pathway Metastasis gene signature (BPMS) that utilizes targets of the metastasis regulator BACH1. Specifically, we substituted experimentally validated target genes to generate a new BACH1 metagene, developed an approach to optimize patient tumor stratification, and reduced the number of signature genes to 30. The BPMS significantly and selectively stratified metastasis-free survival in basal-like and, in particular, TNBC patients. In addition, the BPMS further stratified patients identified as having a good or poor prognosis by other signatures including the Mammaprint® and Oncotype® clinical tests. The BPMS is thus complementary to existing signatures and is a prognostic tool for high risk ER-HER2- patients. We also demonstrate the potential clinical applicability of the BPMS as a single sample predictor. Together, these results reveal the potential of this pathway-based BPMS gene signature to identify high risk TNBC patients that can respond effectively to targeted therapy, and highlight BPMS genes as novel drug targets for therapeutic development.
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spelling pubmed-38595622013-12-13 A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients Lee, UnJin Frankenberger, Casey Yun, Jieun Bevilacqua, Elena Caldas, Carlos Chin, Suet-Feung Rueda, Oscar M. Reinitz, John Rosner, Marsha Rich PLoS One Research Article Although triple negative breast cancers (TNBC) are the most aggressive subtype of breast cancer, they currently lack targeted therapies. Because this classification still includes a heterogeneous collection of tumors, new tools to classify TNBCs are urgently required in order to improve our prognostic capability for high risk patients and predict response to therapy. We previously defined a gene expression signature, RKIP Pathway Metastasis Signature (RPMS), based upon a metastasis-suppressive signaling pathway initiated by Raf Kinase Inhibitory Protein (RKIP). We have now generated a new BACH1 Pathway Metastasis gene signature (BPMS) that utilizes targets of the metastasis regulator BACH1. Specifically, we substituted experimentally validated target genes to generate a new BACH1 metagene, developed an approach to optimize patient tumor stratification, and reduced the number of signature genes to 30. The BPMS significantly and selectively stratified metastasis-free survival in basal-like and, in particular, TNBC patients. In addition, the BPMS further stratified patients identified as having a good or poor prognosis by other signatures including the Mammaprint® and Oncotype® clinical tests. The BPMS is thus complementary to existing signatures and is a prognostic tool for high risk ER-HER2- patients. We also demonstrate the potential clinical applicability of the BPMS as a single sample predictor. Together, these results reveal the potential of this pathway-based BPMS gene signature to identify high risk TNBC patients that can respond effectively to targeted therapy, and highlight BPMS genes as novel drug targets for therapeutic development. Public Library of Science 2013-12-11 /pmc/articles/PMC3859562/ /pubmed/24349199 http://dx.doi.org/10.1371/journal.pone.0082125 Text en © 2013 Lee 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lee, UnJin
Frankenberger, Casey
Yun, Jieun
Bevilacqua, Elena
Caldas, Carlos
Chin, Suet-Feung
Rueda, Oscar M.
Reinitz, John
Rosner, Marsha Rich
A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients
title A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients
title_full A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients
title_fullStr A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients
title_full_unstemmed A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients
title_short A Prognostic Gene Signature for Metastasis-Free Survival of Triple Negative Breast Cancer Patients
title_sort prognostic gene signature for metastasis-free survival of triple negative breast cancer patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3859562/
https://www.ncbi.nlm.nih.gov/pubmed/24349199
http://dx.doi.org/10.1371/journal.pone.0082125
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