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Published in: Breast Cancer Research 5/2013

Open Access 01-10-2013 | Research article

An optimized five-gene multi-platform predictor of hormone receptor negative and triple negative breast cancer metastatic risk

Authors: Christina Yau, John Sninsky, Shirley Kwok, Alice Wang, Amy Degnim, James N Ingle, Cheryl Gillett, Andrew Tutt, Fred Waldman, Dan Moore, Laura Esserman, Christopher C Benz

Published in: Breast Cancer Research | Issue 5/2013

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Abstract

Introduction

Outcome predictors in use today are prognostic only for hormone receptor-positive (HRpos) breast cancer. Although microarray-derived multigene predictors of hormone receptor-negative (HRneg) and/or triple negative (Tneg) breast cancer recurrence risk are emerging, to date none have been transferred to clinically suitable assay platforms (for example, RT-PCR) or validated against formalin-fixed paraffin-embedded (FFPE) HRneg/Tneg samples.

Methods

Multiplexed RT-PCR was used to assay two microarray-derived HRneg/Tneg prognostic signatures IR-7 and Buck-4) in a pooled FFPE collection of 139 chemotherapy-naïve HRneg breast cancers. The prognostic value of the RT-PCR measured gene signatures were evaluated as continuous and dichotomous variables, and in conditional risk models incorporating clinical parameters. An optimized five-gene index was derived by evaluating gene combinations from both signatures.

Results

RT-PCR measured IR-7 and Buck-4 signatures proved prognostic as continuous variables; and conditional risk modeling chose nodal status, the IR-7 signature, and tumor grade as significant predictors of distant recurrence (DR). From the Buck-4 and IR-7 signatures, an optimized five-gene (TNFRSF17, CLIC5, HLA-F, CXCL13, XCL2) predictor was generated, referred to as the Integrated Cytokine Score (ICS) based on its functional pathway linkage through interferon-γ and IL-10. Across all FFPE cases, the ICS was prognostic as either a continuous or dichotomous variable, and conditional risk modeling selected nodal status and ICS as DR predictors. Further dichotomization of node-negative/ICS-low FFPE cases identified a subset of low-grade HRneg tumors with <10% 5-year DR risk. The prognostic value of ICS was reaffirmed in two previously studied microarray assayed cohorts containing 274 node-negative and chemotherapy naive HRneg breast cancers, including 95 Tneg cases where it proved prognostically independent of Tneg molecular subtyping. In additional HRneg/Tneg microarray assayed cohorts, the five-gene ICS also proved prognostic irrespective of primary tumor nodal status and adjuvant chemotherapy intervention.

Conclusion

We advanced the measurement of two previously reported microarray-derived HRneg/Tneg breast cancer prognostic signatures for use in FFPE samples, and derived an optimized five-gene Integrated Cytokine Score (ICS) with multi-platform capability of predicting metastatic outcome from primary HRneg/Tneg tumors independent of nodal status, adjuvant chemotherapy use, and Tneg molecular subtype.
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Metadata
Title
An optimized five-gene multi-platform predictor of hormone receptor negative and triple negative breast cancer metastatic risk
Authors
Christina Yau
John Sninsky
Shirley Kwok
Alice Wang
Amy Degnim
James N Ingle
Cheryl Gillett
Andrew Tutt
Fred Waldman
Dan Moore
Laura Esserman
Christopher C Benz
Publication date
01-10-2013
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 5/2013
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/bcr3567

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