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The rapamycin-regulated gene expression signature determines prognosis for breast cancer

BACKGROUND: Mammalian target of rapamycin (mTOR) is a serine/threonine kinase involved in multiple intracellular signaling pathways promoting tumor growth. mTOR is aberrantly activated in a significant portion of breast cancers and is a promising target for treatment. Rapamycin and its analogues are...

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Autores principales: Akcakanat, Argun, Zhang, Li, Tsavachidis, Spiridon, Meric-Bernstam, Funda
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761377/
https://www.ncbi.nlm.nih.gov/pubmed/19778445
http://dx.doi.org/10.1186/1476-4598-8-75
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author Akcakanat, Argun
Zhang, Li
Tsavachidis, Spiridon
Meric-Bernstam, Funda
author_facet Akcakanat, Argun
Zhang, Li
Tsavachidis, Spiridon
Meric-Bernstam, Funda
author_sort Akcakanat, Argun
collection PubMed
description BACKGROUND: Mammalian target of rapamycin (mTOR) is a serine/threonine kinase involved in multiple intracellular signaling pathways promoting tumor growth. mTOR is aberrantly activated in a significant portion of breast cancers and is a promising target for treatment. Rapamycin and its analogues are in clinical trials for breast cancer treatment. Patterns of gene expression (metagenes) may also be used to simulate a biologic process or effects of a drug treatment. In this study, we tested the hypothesis that the gene-expression signature regulated by rapamycin could predict disease outcome for patients with breast cancer. RESULTS: Colony formation and sulforhodamine B (IC(50 )< 1 nM) assays, and xenograft animals showed that MDA-MB-468 cells were sensitive to treatment with rapamycin. The comparison of in vitro and in vivo gene expression data identified a signature, termed rapamycin metagene index (RMI), of 31 genes upregulated by rapamycin treatment in vitro as well as in vivo (false discovery rate of 10%). In the Miller dataset, RMI did not correlate with tumor size or lymph node status. High (>75th percentile) RMI was significantly associated with longer survival (P = 0.015). On multivariate analysis, RMI (P = 0.029), tumor size (P = 0.015) and lymph node status (P = 0.001) were prognostic. In van 't Veer study, RMI was not associated with the time to develop distant metastasis (P = 0.41). In the Wang dataset, RMI predicted time to disease relapse (P = 0.009). CONCLUSION: Rapamycin-regulated gene expression signature predicts clinical outcome in breast cancer. This supports the central role of mTOR signaling in breast cancer biology and provides further impetus to pursue mTOR-targeted therapies for breast cancer treatment.
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spelling pubmed-27613772009-10-14 The rapamycin-regulated gene expression signature determines prognosis for breast cancer Akcakanat, Argun Zhang, Li Tsavachidis, Spiridon Meric-Bernstam, Funda Mol Cancer Research BACKGROUND: Mammalian target of rapamycin (mTOR) is a serine/threonine kinase involved in multiple intracellular signaling pathways promoting tumor growth. mTOR is aberrantly activated in a significant portion of breast cancers and is a promising target for treatment. Rapamycin and its analogues are in clinical trials for breast cancer treatment. Patterns of gene expression (metagenes) may also be used to simulate a biologic process or effects of a drug treatment. In this study, we tested the hypothesis that the gene-expression signature regulated by rapamycin could predict disease outcome for patients with breast cancer. RESULTS: Colony formation and sulforhodamine B (IC(50 )< 1 nM) assays, and xenograft animals showed that MDA-MB-468 cells were sensitive to treatment with rapamycin. The comparison of in vitro and in vivo gene expression data identified a signature, termed rapamycin metagene index (RMI), of 31 genes upregulated by rapamycin treatment in vitro as well as in vivo (false discovery rate of 10%). In the Miller dataset, RMI did not correlate with tumor size or lymph node status. High (>75th percentile) RMI was significantly associated with longer survival (P = 0.015). On multivariate analysis, RMI (P = 0.029), tumor size (P = 0.015) and lymph node status (P = 0.001) were prognostic. In van 't Veer study, RMI was not associated with the time to develop distant metastasis (P = 0.41). In the Wang dataset, RMI predicted time to disease relapse (P = 0.009). CONCLUSION: Rapamycin-regulated gene expression signature predicts clinical outcome in breast cancer. This supports the central role of mTOR signaling in breast cancer biology and provides further impetus to pursue mTOR-targeted therapies for breast cancer treatment. BioMed Central 2009-09-24 /pmc/articles/PMC2761377/ /pubmed/19778445 http://dx.doi.org/10.1186/1476-4598-8-75 Text en Copyright © 2009 Akcakanat et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Akcakanat, Argun
Zhang, Li
Tsavachidis, Spiridon
Meric-Bernstam, Funda
The rapamycin-regulated gene expression signature determines prognosis for breast cancer
title The rapamycin-regulated gene expression signature determines prognosis for breast cancer
title_full The rapamycin-regulated gene expression signature determines prognosis for breast cancer
title_fullStr The rapamycin-regulated gene expression signature determines prognosis for breast cancer
title_full_unstemmed The rapamycin-regulated gene expression signature determines prognosis for breast cancer
title_short The rapamycin-regulated gene expression signature determines prognosis for breast cancer
title_sort rapamycin-regulated gene expression signature determines prognosis for breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761377/
https://www.ncbi.nlm.nih.gov/pubmed/19778445
http://dx.doi.org/10.1186/1476-4598-8-75
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