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Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature
BACKGROUND: Given the large number of genes purported to be prognostic for breast cancer, it would be optimal if the genes identified are not confounded by the continuously changing systemic therapies. The aim of this study was to discover and validate a breast cancer prognostic expression signature...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631011/ https://www.ncbi.nlm.nih.gov/pubmed/19025599 http://dx.doi.org/10.1186/1471-2407-8-339 |
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author | Tutt, Andrew Wang, Alice Rowland, Charles Gillett, Cheryl Lau, Kit Chew, Karen Dai, Hongyue Kwok, Shirley Ryder, Kenneth Shu, Henry Springall, Robert Cane, Paul McCallie, Blair Kam-Morgan, Lauren Anderson, Steve Buerger, Horst Gray, Joe Bennington, James Esserman, Laura Hastie, Trevor Broder, Samuel Sninsky, John Brandt, Burkhard Waldman, Fred |
author_facet | Tutt, Andrew Wang, Alice Rowland, Charles Gillett, Cheryl Lau, Kit Chew, Karen Dai, Hongyue Kwok, Shirley Ryder, Kenneth Shu, Henry Springall, Robert Cane, Paul McCallie, Blair Kam-Morgan, Lauren Anderson, Steve Buerger, Horst Gray, Joe Bennington, James Esserman, Laura Hastie, Trevor Broder, Samuel Sninsky, John Brandt, Burkhard Waldman, Fred |
author_sort | Tutt, Andrew |
collection | PubMed |
description | BACKGROUND: Given the large number of genes purported to be prognostic for breast cancer, it would be optimal if the genes identified are not confounded by the continuously changing systemic therapies. The aim of this study was to discover and validate a breast cancer prognostic expression signature for distant metastasis in untreated, early stage, lymph node-negative (N-) estrogen receptor-positive (ER+) patients with extensive follow-up times. METHODS: 197 genes previously associated with metastasis and ER status were profiled from 142 untreated breast cancer subjects. A "metastasis score" (MS) representing fourteen differentially expressed genes was developed and evaluated for its association with distant-metastasis-free survival (DMFS). Categorical risk classification was established from the continuous MS and further evaluated on an independent set of 279 untreated subjects. A third set of 45 subjects was tested to determine the prognostic performance of the MS in tamoxifen-treated women. RESULTS: A 14-gene signature was found to be significantly associated (p < 0.05) with distant metastasis in a training set and subsequently in an independent validation set. In the validation set, the hazard ratios (HR) of the high risk compared to low risk groups were 4.02 (95% CI 1.91–8.44) for the endpoint of DMFS and 1.97 (95% CI 1.28 to 3.04) for overall survival after adjustment for age, tumor size and grade. The low and high MS risk groups had 10-year estimates (95% CI) of 96% (90–99%) and 72% (64–78%) respectively, for DMFS and 91% (84–95%) and 68% (61–75%), respectively for overall survival. Performance characteristics of the signature in the two sets were similar. Ki-67 labeling index (LI) was predictive for recurrent disease in the training set, but lost significance after adjustment for the expression signature. In a study of tamoxifen-treated patients, the HR for DMFS in high compared to low risk groups was 3.61 (95% CI 0.86–15.14). CONCLUSION: The 14-gene signature is significantly associated with risk of distant metastasis. The signature has a predominance of proliferation genes which have prognostic significance above that of Ki-67 LI and may aid in prioritizing future mechanistic studies and therapeutic interventions. |
format | Text |
id | pubmed-2631011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26310112009-01-27 Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature Tutt, Andrew Wang, Alice Rowland, Charles Gillett, Cheryl Lau, Kit Chew, Karen Dai, Hongyue Kwok, Shirley Ryder, Kenneth Shu, Henry Springall, Robert Cane, Paul McCallie, Blair Kam-Morgan, Lauren Anderson, Steve Buerger, Horst Gray, Joe Bennington, James Esserman, Laura Hastie, Trevor Broder, Samuel Sninsky, John Brandt, Burkhard Waldman, Fred BMC Cancer Research Article BACKGROUND: Given the large number of genes purported to be prognostic for breast cancer, it would be optimal if the genes identified are not confounded by the continuously changing systemic therapies. The aim of this study was to discover and validate a breast cancer prognostic expression signature for distant metastasis in untreated, early stage, lymph node-negative (N-) estrogen receptor-positive (ER+) patients with extensive follow-up times. METHODS: 197 genes previously associated with metastasis and ER status were profiled from 142 untreated breast cancer subjects. A "metastasis score" (MS) representing fourteen differentially expressed genes was developed and evaluated for its association with distant-metastasis-free survival (DMFS). Categorical risk classification was established from the continuous MS and further evaluated on an independent set of 279 untreated subjects. A third set of 45 subjects was tested to determine the prognostic performance of the MS in tamoxifen-treated women. RESULTS: A 14-gene signature was found to be significantly associated (p < 0.05) with distant metastasis in a training set and subsequently in an independent validation set. In the validation set, the hazard ratios (HR) of the high risk compared to low risk groups were 4.02 (95% CI 1.91–8.44) for the endpoint of DMFS and 1.97 (95% CI 1.28 to 3.04) for overall survival after adjustment for age, tumor size and grade. The low and high MS risk groups had 10-year estimates (95% CI) of 96% (90–99%) and 72% (64–78%) respectively, for DMFS and 91% (84–95%) and 68% (61–75%), respectively for overall survival. Performance characteristics of the signature in the two sets were similar. Ki-67 labeling index (LI) was predictive for recurrent disease in the training set, but lost significance after adjustment for the expression signature. In a study of tamoxifen-treated patients, the HR for DMFS in high compared to low risk groups was 3.61 (95% CI 0.86–15.14). CONCLUSION: The 14-gene signature is significantly associated with risk of distant metastasis. The signature has a predominance of proliferation genes which have prognostic significance above that of Ki-67 LI and may aid in prioritizing future mechanistic studies and therapeutic interventions. BioMed Central 2008-11-21 /pmc/articles/PMC2631011/ /pubmed/19025599 http://dx.doi.org/10.1186/1471-2407-8-339 Text en Copyright © 2008 Tutt 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 Article Tutt, Andrew Wang, Alice Rowland, Charles Gillett, Cheryl Lau, Kit Chew, Karen Dai, Hongyue Kwok, Shirley Ryder, Kenneth Shu, Henry Springall, Robert Cane, Paul McCallie, Blair Kam-Morgan, Lauren Anderson, Steve Buerger, Horst Gray, Joe Bennington, James Esserman, Laura Hastie, Trevor Broder, Samuel Sninsky, John Brandt, Burkhard Waldman, Fred Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature |
title | Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature |
title_full | Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature |
title_fullStr | Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature |
title_full_unstemmed | Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature |
title_short | Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature |
title_sort | risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an rt-pcr based prognostic expression signature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631011/ https://www.ncbi.nlm.nih.gov/pubmed/19025599 http://dx.doi.org/10.1186/1471-2407-8-339 |
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