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A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials
Chromosome instability (CIN) in solid tumours results in multiple numerical and structural chromosomal aberrations and is associated with poor prognosis in multiple tumour types. Recent evidence demonstrated CEP17 duplication, a CIN marker, is a predictive marker of anthracycline benefit. An analysi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741633/ https://www.ncbi.nlm.nih.gov/pubmed/26372731 |
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author | Spears, Melanie Yousif, Fouad Lyttle, Nicola Boutros, Paul C. Munro, Alison F. Twelves, Chris Pritchard, Kathleen I. Levine, Mark N. Shepherd, Lois Bartlett, John MS. |
author_facet | Spears, Melanie Yousif, Fouad Lyttle, Nicola Boutros, Paul C. Munro, Alison F. Twelves, Chris Pritchard, Kathleen I. Levine, Mark N. Shepherd, Lois Bartlett, John MS. |
author_sort | Spears, Melanie |
collection | PubMed |
description | Chromosome instability (CIN) in solid tumours results in multiple numerical and structural chromosomal aberrations and is associated with poor prognosis in multiple tumour types. Recent evidence demonstrated CEP17 duplication, a CIN marker, is a predictive marker of anthracycline benefit. An analysis of the BR9601 and MA.5 clinical trials was performed to test the role of existing CIN gene expression signatures as predictive markers of anthracycline sensitivity in breast cancer. Univariate analysis demonstrated, high CIN25 expression score was associated with improved distant relapse free survival (DRFS) (HR: 0.74, 95% CI 0.54-0.99, p = 0.046). High tumour CIN70 and CIN25 scores were associated with aggressive clinicopathological phenotype and increased sensitivity to anthracycline therapy compared to low CIN scores. However, in a prospectively planned multivariate analysis only pathological grade, nodal status and tumour size were significant predictors of outcome for CIN25/CIN70. A limited gene signature was generated, patients with low tumour CIN4 scores benefited from anthracycline treatment significantly more than those with high CIN4 scores (HR 0.37, 95% CI 0.20-0.56, p = 0.001). In multivariate analyses the treatment by marker interaction for CIN4/anthracyclines demonstrated hazard ratio of 0.35 (95% CI 0.15-0.80, p = 0.012) for DRFS. This data shows CIN4 is independent predictor of anthracycline benefit for DRFS in breast cancer. |
format | Online Article Text |
id | pubmed-4741633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-47416332016-03-03 A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials Spears, Melanie Yousif, Fouad Lyttle, Nicola Boutros, Paul C. Munro, Alison F. Twelves, Chris Pritchard, Kathleen I. Levine, Mark N. Shepherd, Lois Bartlett, John MS. Oncotarget Research Paper Chromosome instability (CIN) in solid tumours results in multiple numerical and structural chromosomal aberrations and is associated with poor prognosis in multiple tumour types. Recent evidence demonstrated CEP17 duplication, a CIN marker, is a predictive marker of anthracycline benefit. An analysis of the BR9601 and MA.5 clinical trials was performed to test the role of existing CIN gene expression signatures as predictive markers of anthracycline sensitivity in breast cancer. Univariate analysis demonstrated, high CIN25 expression score was associated with improved distant relapse free survival (DRFS) (HR: 0.74, 95% CI 0.54-0.99, p = 0.046). High tumour CIN70 and CIN25 scores were associated with aggressive clinicopathological phenotype and increased sensitivity to anthracycline therapy compared to low CIN scores. However, in a prospectively planned multivariate analysis only pathological grade, nodal status and tumour size were significant predictors of outcome for CIN25/CIN70. A limited gene signature was generated, patients with low tumour CIN4 scores benefited from anthracycline treatment significantly more than those with high CIN4 scores (HR 0.37, 95% CI 0.20-0.56, p = 0.001). In multivariate analyses the treatment by marker interaction for CIN4/anthracyclines demonstrated hazard ratio of 0.35 (95% CI 0.15-0.80, p = 0.012) for DRFS. This data shows CIN4 is independent predictor of anthracycline benefit for DRFS in breast cancer. Impact Journals LLC 2015-09-10 /pmc/articles/PMC4741633/ /pubmed/26372731 Text en Copyright: © 2015 Spears et al. http://creativecommons.org/licenses/by/2.5/ 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 credited. |
spellingShingle | Research Paper Spears, Melanie Yousif, Fouad Lyttle, Nicola Boutros, Paul C. Munro, Alison F. Twelves, Chris Pritchard, Kathleen I. Levine, Mark N. Shepherd, Lois Bartlett, John MS. A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials |
title | A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials |
title_full | A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials |
title_fullStr | A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials |
title_full_unstemmed | A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials |
title_short | A four gene signature predicts benefit from anthracyclines: evidence from the BR9601 and MA.5 clinical trials |
title_sort | four gene signature predicts benefit from anthracyclines: evidence from the br9601 and ma.5 clinical trials |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4741633/ https://www.ncbi.nlm.nih.gov/pubmed/26372731 |
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