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Published in: Breast Cancer Research and Treatment 3/2009

01-08-2009 | Clinical Trial

A 38-gene expression signature to predict metastasis risk in node-positive breast cancer after systemic adjuvant chemotherapy: a genomic substudy of PACS01 clinical trial

Authors: Pascal Jézéquel, Mario Campone, Henri Roché, Wilfried Gouraud, Catherine Charbonnel, Gabriel Ricolleau, Florence Magrangeas, Stéphane Minvielle, Jean Genève, Anne-Laure Martin, Régis Bataille, Loïc Campion

Published in: Breast Cancer Research and Treatment | Issue 3/2009

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Abstract

Currently, no prognostic gene-expression signature (GES) established from node-positive breast cancer cohorts, able to predict evolution after systemic adjuvant chemotherapy, exists. Gene-expression profiles of 252 node-positive breast cancer patients (median follow-up: 7.7 years), mostly included in a randomized clinical trial (PACS01), receiving systemic adjuvant regimen, were determined by means of cDNA custom array. In the training cohort, we established a GES composed of 38 genes (38-GES) for the purpose of predicting metastasis-free survival. The 38-GES yielded unadjusted hazard ratio (HR) of 4.86 (95% confidence interval = 2.76–8.56). Even when adjusted with the best two clinicopathological prognostic indexes: Nottingham prognostic index (NPI) and Adjuvant!, 38-GES HRs were 3.30 (1.81–5.99) and 3.40 (1.85–6.24), respectively. Furthermore, 38-GES improved NPI and Adjuvant! classification. In particular, NPI intermediate-risk patients were divided into 2/3 close to low-risk group and 1/3 close to high-risk group (HR = 6.97 [2.51–19.36]). Similarly, Adjuvant! intermediate-risk patients were divided into 2/3 close to low-risk group and 1/3 close to high-risk group (HR = 4.34 [1.64–11.48]). The 38-GES was validated on gene-expression datasets from three external node-positive breast cancer subcohorts (n = 224) generated from different microarray platforms, with HR = 2.95 (1.74–5.01). Moreover, 38-GES showed prognostic performance in supplementary cohorts with different lymph-node status and endpoints (1,040 new patients). The 38-GES represents a robust tool able to type systemic adjuvant treated node-positive patients at high risk of metastatic relapse, and is especially powerful to refine NPI and Adjuvant! classification for those patients.
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Literature
3.
go back to reference Van’t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415:530–536. doi:10.1038/415530a CrossRef Van’t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415:530–536. doi:10.​1038/​415530a CrossRef
5.
go back to reference Wang Y, Klijn JGM, Zhang Y et al (2005) Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 365:671–679PubMed Wang Y, Klijn JGM, Zhang Y et al (2005) Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 365:671–679PubMed
9.
go back to reference Campone M, Campion L, Roché H et al (2008) Prediction of metastatic relapse in node-positive breast cancer: establishment of a clinicogenomic model after FEC100 adjuvant regimen. Breast Cancer Res Treat 109:491–501. doi:10.1007/s10549-007-9673-x PubMedCrossRef Campone M, Campion L, Roché H et al (2008) Prediction of metastatic relapse in node-positive breast cancer: establishment of a clinicogenomic model after FEC100 adjuvant regimen. Breast Cancer Res Treat 109:491–501. doi:10.​1007/​s10549-007-9673-x PubMedCrossRef
10.
11.
go back to reference Sotiriou C, Wirapati P, Loi S et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98:262–272PubMedCrossRef Sotiriou C, Wirapati P, Loi S et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98:262–272PubMedCrossRef
12.
go back to reference Pawitan Y, Bjohle J, Amler L et al (2005) Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts. Breast Cancer Res 7:R953–R964. doi:10.1186/bcr1325 PubMedCrossRef Pawitan Y, Bjohle J, Amler L et al (2005) Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts. Breast Cancer Res 7:R953–R964. doi:10.​1186/​bcr1325 PubMedCrossRef
14.
16.
go back to reference Decaux O, Lodé L, Magrangeas F et al (2008) Prediction of survival in multiple myeloma based on gene-expression profiles revealed cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients. J Clin Oncol 26:4798–4805. doi:10.1200/JCO.2007.13.8545 PubMedCrossRef Decaux O, Lodé L, Magrangeas F et al (2008) Prediction of survival in multiple myeloma based on gene-expression profiles revealed cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients. J Clin Oncol 26:4798–4805. doi:10.​1200/​JCO.​2007.​13.​8545 PubMedCrossRef
18.
22.
go back to reference Habel LA, Shak S, Jacobs MK et al (2006) A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients. Breast Cancer Res 8:R25. doi:10.1186/bcr1412 PubMedCrossRef Habel LA, Shak S, Jacobs MK et al (2006) A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients. Breast Cancer Res 8:R25. doi:10.​1186/​bcr1412 PubMedCrossRef
23.
26.
go back to reference Albain K, Barlow W, Shak S et al (2007) Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal, node-positive, ER-positive breast cancer (S8814,INT0100). Presented at 30th Annual San Antonio Breast Cancer Symposium, San Antonio Albain K, Barlow W, Shak S et al (2007) Prognostic and predictive value of the 21-gene recurrence score assay in postmenopausal, node-positive, ER-positive breast cancer (S8814,INT0100). Presented at 30th Annual San Antonio Breast Cancer Symposium, San Antonio
27.
go back to reference Goldstein LJ, Gray R, Badve S et al (2008) Prognostic utility of the 21-gene assay in hormone receptor positive operable breast cancer compared with Adjuvant! an integrator of clinicopathologic and treatment information. J Clin Oncol 26:4063–4071PubMedCrossRef Goldstein LJ, Gray R, Badve S et al (2008) Prognostic utility of the 21-gene assay in hormone receptor positive operable breast cancer compared with Adjuvant! an integrator of clinicopathologic and treatment information. J Clin Oncol 26:4063–4071PubMedCrossRef
Metadata
Title
A 38-gene expression signature to predict metastasis risk in node-positive breast cancer after systemic adjuvant chemotherapy: a genomic substudy of PACS01 clinical trial
Authors
Pascal Jézéquel
Mario Campone
Henri Roché
Wilfried Gouraud
Catherine Charbonnel
Gabriel Ricolleau
Florence Magrangeas
Stéphane Minvielle
Jean Genève
Anne-Laure Martin
Régis Bataille
Loïc Campion
Publication date
01-08-2009
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 3/2009
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-008-0250-8

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