Abstract

IntroductionTriple-negative breast cancers need to be refined in order to identify therapeutic subgroups of patients.MethodsWe conducted an unsupervised analysis of microarray gene-expression profiles of 107 triple-negative breast cancer patients and undertook robust functional annotation of the molecular entities found by means of numerous approaches including immunohistochemistry and gene-expression signatures. A triple-negative external cohort (n = 87) was used for validation.ResultsFuzzy clustering separated triple-negative tumours into three clusters: C1 (22.4%), C2 (44.9%) and C3 (32.7%). C1 patients were older (mean = 64.6 years) than C2 (mean = 56.8 years; P = 0.03) and C3 patients (mean = 51.9 years; P = 0.0004). Histological grade and Nottingham prognostic index were higher in C2 and C3 than in C1 (P < 0.0001 for both comparisons). Significant event-free survival (P = 0.03) was found according to cluster membership: patients belonging to C3 had a better outcome than patients in C1 (P = 0.01) and C2 (P = 0.02). Event-free survival analysis results were confirmed when our cohort was pooled with the external cohort (n = 194; P = 0.01). Functional annotation showed that 22% of triple-negative patients were not basal-like (C1). C1 was enriched in luminal subtypes and positive androgen receptor (luminal androgen receptor). C2 could be considered as an almost pure basal-like cluster. C3, enriched in basal-like subtypes but to a lesser extent, included 26% of claudin-low subtypes. Dissection of immune response showed that high immune response and low M2-like macrophages were a hallmark of C3, and that these patients had a better event-free survival than C2 patients, characterized by low immune response and high M2-like macrophages: P = 0.02 for our cohort, and P = 0.03 for pooled cohorts.ConclusionsWe identified three subtypes of triple-negative patients: luminal androgen receptor (22%), basal-like with low immune response and high M2-like macrophages (45%), and basal-enriched with high immune response and low M2-like macrophages (33%). We noted out that macrophages and other immune effectors offer a variety of therapeutic targets in breast cancer, and particularly in triple-negative basal-like tumours. Furthermore, we showed that CK5 antibody was better suited than CK5/6 antibody to subtype triple-negative patients.Electronic supplementary materialThe online version of this article (doi:10.1186/s13058-015-0550-y) contains supplementary material, which is available to authorized users.

Highlights

  • Triple-negative breast cancers need to be refined in order to identify therapeutic subgroups of patients

  • In addition to the significance analysis of microarrays (SAM) method, expression of the 2,734 most variable probe sets was represented on a heatmap, with patients ordered according to the fuzzy clusters

  • We focused on immune response, which is known to play a major role in tumour progression, because it was the main characteristic allowing us to distinguish between the two basal-like-enriched clusters: C2 (LIR) and C3 (HIR)

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Summary

Introduction

Triple-negative breast cancers need to be refined in order to identify therapeutic subgroups of patients. Research has been aimed at deciphering molecular presentation of this disease to identify subgroups of patients with clinical significance, such as prognosis or response to therapy, in order to optimize patient management. Comparative studies showed that not all TN tumours are identified as basal-like (approximately 80%), and not all basal-like tumours are TN [1,4] Both types affect younger patients, and are linked to a bad prognosis and no possibility of targeted therapy. Heterogeneity within basal-like and TN is still controversial and requires further research, including new cohorts, to understand the complexity of the disease, and to identify molecular drivers that could be therapeutically targeted [1,6]

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