Breast Cancer Research : BCR

Breast Cancer Res. 11(5): R69-R69

Identification of biology-based breast cancer types with distinct predictive and prognostic features: role of steroid hormone and HER2 receptor expression in patients treated with neoadjuvant anthracycline/taxane-based chemotherapy

Silvia Darb-Esfahani¹, Sibylle Loibl², Berit M Müller¹, Marc Roller², Carsten Denkert¹, Martina Komor², Karsten Schlüns¹, Jens Uwe Blohmer³, Jan Budczies¹, Bernd Gerber⁴, Aurelia Noske¹, Andreas du Bois⁵, Wilko Weichert¹, Christian Jackisch⁶, Manfred Dietel¹, Klaus Richter⁷, Manfred Kaufmann⁸, Gunter von Minckwitz²

1. Institute of Pathology, Charité Universitätsmedizin Berlin, Charitéplatz 1, Berlin, 10117, Germany

2. GBG Forschungs GmbH, Schleussnerstrasse 42, Neu-Isenburg, 63263, Germany

3. Department of Obstetrics and Gynecology, St. Gertrauden Hospital, Paretzer Str. 12, Berlin, 10713, Germany

4. Department of Obstetrics and Gynecology, Klinikum Südstadt, Südring 81, Rostock, 18059, Germany

5. Department of Gynecology and Gynecologic Oncology, Dr. Horst Schmidt Hospital (HSK), Ludwig-Erhard-Str. 100, Wiesbaden, 65199, Germany

6. Department of Obstetrics and Gynecology, Klinikum Offenbach, Starkenburgring 66, Offenbach am Main, 63069, Germany

7. Institute of Pathology, Berliner Allee 48, Hannover, 30175, Germany

8. Department of Obstetrics and Gynecology, Klinikum der Johann Wolofgang Goethe-Universität, Theodor-Stern-Kai 7, Frankfurt am Main, 60590, Germany

Copyright ©2009 Darb-Esfahani et al.; licensee BioMed Central Ltd.

DOI: 10.1186/bcr2363

Published in print: 2009

Published online: 16 September 2009

Abstract

Introduction

Reliable predictive and prognostic markers for routine diagnostic purposes are needed for breast cancer patients treated with neoadjuvant chemotherapy. We evaluated protein biomarkers in a cohort of 116 participants of the GeparDuo study on anthracycline/taxane-based neoadjuvant chemotherapy for operable breast cancer to test for associations with pathological complete response (pCR) and disease-free survival (DFS). Particularly, we evaluated if interactions between hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) expression might lead to a different clinical behavior of HR+/HER2+ co-expressing and HR+/HER2- tumors and whether subgroups of triple negative tumors might be identified by the help of Ki67 labeling index, cytokeratin 5/6 (CK5/6), as well as cyclooxygenase-2 (COX-2), and Y-box binding protein 1 (YB-1) expression.

Methods

Expression analysis was performed using immunohistochemistry and silver-enhanced in situ hybridization on tissue microarrays (TMAs) of pretherapeutic core biopsies.

Results

pCR rates were significantly different between the biology-based tumor types (P = 0.044) with HR+/HER2+ and HR-/HER2- tumors having higher pCR rates than HR+/HER2- tumors. Ki67 labeling index, confirmed as significant predictor of pCR in the whole cohort (P = 0.001), identified HR-/HER- (triple negative) carcinomas with a higher chance for a pCR (P = 0.006). Biology-based tumor type (P = 0.046 for HR+/HER2+ vs. HR+/HER2-), Ki67 labeling index (P = 0.028), and treatment arm (P = 0.036) were independent predictors of pCR in a multivariate model. DFS was different in the biology-based tumor types (P < 0.0001) with HR+/HER2- and HR+/HER2+ tumors having the best prognosis and HR-/HER2+ tumors showing the worst outcome. Biology-based tumor type was an independent prognostic factor for DFS in multivariate analysis (P < 0.001).

Conclusions

Our data demonstrate that a biology-based breast cancer classification using estrogen receptor (ER), progesterone receptor (PgR), and HER2 bears independent predictive and prognostic potential. The HR+/HER2+ co-expressing carcinomas emerged as a group of tumors with a good response rate to neoadjuvant chemotherapy and a favorable prognosis. HR+/HER2- tumors had a good prognosis irrespective of a pCR, whereas patients with HR-/HER- and HR-/HER+ tumors, especially if they had not achieved a pCR, had an unfavorable prognosis and are in need of additional treatment options.

Trial registration

ClinicalTrials.gov identifier: NCT00793377

Introduction

Neoadjuvant chemotherapy or preoperative systemic therapy is increasingly considered for patients with operable breast cancer [1,2] as survival rates are similar as in patients receiving standard post-operative chemotherapy and the rate of breast conserving surgery can be significantly increased in patients treated with neoadjuvant chemotherapy [3,4]. One of the main aims of neoadjuvant chemotherapy is to achieve a pathological complete response (pCR; i.e. absence of malignant cells at the tumor site) because pCR has been found to be associated with longer disease-free and overall survival rates [2,5-7]. However, it is not clear if this predictive value is valid for all patients, as a small proportion of patients with pCR still experience distant relapse [8]. In general, pCR rates with classical chemotherapy are rather low and range from 10% to 26% depending on the applied regimes [9]. To date, only a few tumor markers exist for the prediction of pCR, e.g. low tumor differentiation and negative hormone receptor (HR) status [10,11]. Therefore, reliable predictive and prognostic markers are needed for the optimal selection of patients who might benefit from a neoadjuvant chemotherapy, i.e. who have the chance to achieve a pCR and remain disease-free on the long term.

Studies investigating gene expression profiles in breast cancer have defined different breast cancer subclasses that were based on tumor biology-based characteristics [12-15]. Luminal cancers were characterized by the expression of HR, the HER2 cluster showed an over-expression of HER2 and associated genes, and basal-like cancers were negative for HR and HER2 ("triple negative") and express basal cytokeratins as well as the proliferative cluster of genes [12]. Despite the fact that these biology-based tumor types are usually seen as different entities, in clinical practice there is a remarkable overlap between HR and HER2 positive cases. As data from preclinical models suggest an interaction between the HER2 and HR pathways [16,17], we evaluated the hypothesis that these interactions might lead to a different clinical behavior of HR+/HER2+ co-expressing and HR+/HER2- tumors. This might be reflected in a different response to anthracycline/taxane-based neoadjuvant chemotherapy as well as in a different DFS. In addition, it has been suggested that the subgroup of HR-/HER2- (triple negative) carcinomas might constitute a mixture of different biologically and prognostically heterogeneous tumors [18,19]. Therefore, we evaluated the hypothesis that a subclassification of these carcinomas might be possible using Ki-67 proliferation index, cytokeratin 5/6 (CK5/6), cyclooxygenase-2 (COX-2), as well as Y-box binding protein 1 (YB-1) expression, for the latter two a role in breast cancer progression has been demonstrated previously [20,21]. We investigated our hypotheses in a cohort of pretherapeutic core biopsies from the neoadjuvant GeparDuo study, in which patients with operable breast cancer have been treated with either dose-dense doxorubicin plus docetaxel (ddADOC) or conventionally-dosed doxorubicin plus cyclophosphamide followed by docetaxel (AC-DOC) [22].

Materials and methods

Study population and histopathological examination

The multicenter randomized prospective neoadjuvant phase III GeparDuo trial (NCT00793377) investigated 913 patients with operable breast cancer (T2-3, N0-2, M0) between June 1999 and September 2001 comparing doxorubicin 50 mg/m2 plus docetaxel 75 mg/m2 every 14 days for four cycles with filgrastim support (ddADOC, n = 451) or four cycles doxorubicin 60 mg/m2 plus cyclophosphamide 600 mg/m2 every 21 days followed by docetaxel 100 mg/m2 every 21 days for four cycles (AC-DOC, n = 453). The trial was conducted in compliance with the Helsinki Declaration. The protocol was reviewed and approved by all responsible local ethics committees. The leading ethics committee was located at the Johann-Wolfgang Goethe University, Frankfurt, Germany (Approval Number: 80/99). Consent of patient, pathologist and investigator to supply tumor material of biopsy and surgery for central pathologic evaluation and examination of predictive factors was available. All patients received tamoxifen simultaneously, irrespective of HR status [22]. The primary endpoint was the incidence of pCR in the breast and axillary nodes (absence of invasive and non-invasive (carcinoma in situ) tumor cells in the surgical specimen including lymph nodes). A statistical analysis using a pCR definition that also includes cases with residual in-situ carcinoma yielded similar results (not shown). For 219 patients tissue from the presurgical biopsy containing more than 30% tumor tissue was available in our tissue bank. These samples were used to construct a tissue microarray. In the statistical evaluation, only cases that could be evaluated at least for ER and HER2 were included (116 cases). Stained slides were digitized by a slide scanner (Mirax Scan, Zeiss, Jena, Germany), and were subsequently evaluated using a custom-made software for whole slide imaging. For clinico-pathological characteristics of our study cohort see additional data file 1. Data according to clinical tumor stage (cT) and clinical lymph node state (cN), patient age, pCR and outcome data were derived from the clinical study database. Punch biopsies were re-evaluated according to tumor histology and grading (Bloom-Richardson modified by Elston and Ellis) [23] by two experienced pathologists (CD and AN). DFS data were available from 105 patients for a median follow-up time without event of 57.6 months.

Immunohistochemical staining and silver-enhanced in situ hybridization (SISH)

Immunohistochemical staining of tissue microarray slides was performed using the Discovery XT autostainer (Ventana, Tuscon, AZ, USA) according to the manufacturer's instructions. The following antibodies were used: rabbit monoclonal antibody against human ERα (clone SP1, Neomarkers (Lab Vision), Fremont, CA, USA, 1:50); mouse monoclonal antibody against human progesterone receptor PgR (clone PgR 636, Dako, Glostrup, Denmark, 1:50); rabbit polyclonal antibody against human HER2 (HercepTest™ antibody, Dako, 1:500); mouse monoclonal antibody against human Ki67 (clone MIB-1, Dako, 1:50); mouse monoclonal antibody against human CK5/6 (clone D4/16B4, Zymed (Invitrogen), Carlsbad, CA, USA, 1:25). Immunohistochemical staining for YB-1 (Biogenes, Berlin, Germany, 1:1000) and COX-2 (Cayman Chemical Company, Ann Arbor, MI, USA, 1: 5000) was performed manually as described previously [20,21]. SISH analysis was performed on a Benchmark XT autostainer (Ventana) using the INFORM HER2 probe (Ventana) according to the manufacturer's instructions.

ER and PgR immunohistochemistry was scored positive if at least 10% of tumor cell nuclei showed a staining signal. Data on PgR expression were available for 105 cases. HER2 reactivity was assessed according to the ASCO/CAP guidelines [24]: Cases with a uniform intense membranous staining of > 30% of tumor cells (3+) or those with a weak membranous staining (2+) and HER2 amplification in SISH were designated as HER2 positive. For the assessment of the proliferation rate the percentage of tumor cell nuclei positive for Ki67 was estimated (106 cases). According to Petit et al. a cutoff of 20% of stained tumor cell nuclei was used for dichotomization [25]. Any expression of CK5/6 in expression tumor cells was scored as positive (114 cases). For the interpretation of COX-2 and YB-1 staining the immunoreactivity score was used comprising both staining intensity and rate of stained tumor cells, as described previously (101 and 106 cases, respectively) [20]. Immunohistochemistry was evaluated by at least two pathologists who were blinded towards the patients' outcome (SDE and BM).

Statistical evaluation

Correlation analyses were performed by the use of binary logistic regression analysis, and as indicated by χ2 test. Survival times were compared by Cox regression analysis and the Kaplan-Meier method. P-values ≤ 0.05 were considered significant. For statistical procedures, the software packages SPSSv16.0 (Chicago, IL, USA) and GraphPad Prism 5.01 (La Jolla, CA, USA) were used.

Results

Distribution of clinico-pathological parameters in the study group

The study cohort was derived from the GeparDuo study that comprised patients with operable breast cancer (cT1-3, cN0-2). Most patients had ductal-invasive breast cancer, a minor subgroup had lobular carcinomas and few patients had cancers of rare histology, which are summarized as "others" in our study (cribriform, metaplastic). Thirteen patients in the study achieved a pCR (11.2%). The rate of patients receiving ddADOC and AC-DOC therapy was similar (P > 0.05). The distribution of clinico-pathological parameters was comparable to the full study population [see additional data file 1].

Immunohistochemical findings in the study cohort

ER was expressed by 63 (54.3%) invasive breast carcinomas (Figure 1A). Fewer tumors were positive for PgR (44 cases, 37.9%, Figure 1B). A co-expression of ER and PgR was found in 37 cases (31.9%). A HER2 over-expression was detected in 27 cases (23.3%, Figure 1C, D). Ki67 (MIB-1) expression ranged from 0 to 90%, median 5%; 85 tumors showed <=20% of positive nuclei (80.2%), 21 tumors had a proliferation rate of > 20% (19.8%; Figure 1E). Seven carcinomas (6.1%) showed evidence of a CK5/6 expression, which was mostly focally (Figure 1F). COX-2 was expressed by 74 tumors (73.3%, Figure 1G), and expression of YB-1 was detected in the cytoplasm of tumor cells in 35 cases (33.0%, Figure 1H).

Figure 1View larger versionFigure 1. (a) Strong expression of ER in a ductal-invasive breast carcinoma. (b) Strong expression of PgR in a moderately differentiated breast carcinoma. (c) Complete membranous expression of HER2 in a high-grade breast carcinoma (3+). (d) Silver-enhanced in situ hybridization (SISH): multiple Her2 gene copies (black dots) in tumor cell nuclei of a Her2-amplified breast carcinoma. (e) Nuclear expression of Ki67 in a poorly differentiated breast carcinoma. (f) Focal perimembranous expression of CK5/6 in a high grade tumor. (g) Moderate cytoplasmic expression of COX-2 in a ductal-invasive breast carcinoma. (h) Diffuse cytoplasmic expression of YB-1 in invasive breast cancer nests.

Biology-based tumor types according to HR and HER2 status

Data on ER, PgR, and HER2 expression were used to classify breast carcinomas. With a focus on different combinations of these markers, we distinguished four distinct, non-overlapping classes: tumors positive for ER and/or PgR expression and negative for HER2 expression were designated as HR+/HER2- (57 cases, 49.1%). HER2 expressing tumors without HR expression were designated as HR-/HER2+ (13 cases, 11.2%). In case of a co-expression of HR and HER2 the tumor was included in the HR+/HER2+ category (13 cases, 11.2%), while tumors negative for ER, PgR and HER2 were designated as HR-/HER2- (triple negative, 33 cases, 28.4%).

Association of biology-based tumor types with clinico-pathological parameters as well as YB-1 and COX-2 expression

Biology-based tumor types were significantly associated with tumor grading: While HR+/HER2- positive tumors were most frequently well or moderately differentiated, the proportion of G3 tumors was higher in the HR-/HER2+ as well as HR-/HER- group (P = 0.004, χ2 test). Consistent with HER2 being the target of the transcription factor YB-1, HER2 positive tumors (HR-/HER2+ or HR+/HER2+) were most often YB-1 positive (66.7% and 58.3%), as previously reported [26,27], while a YB-1 expression was rare in the HR+/HER2- and HR-/HER- subgroups (25.9% and 25.8%; P = 0.018, χ2 test). No significant correlations could be established between COX-2 expression and any of the subgroups investigated. In line with previous reports, CK5/6 expression was mainly found in HR-/HER2- tumors (6/31 cases, 19.4%, P = 0.005, χ2 test) [28,29].

Association of biology-based tumor types with pCR

The pCR rate was significantly different between biology-based tumor types (P = 0.044, Figure 2, Table 1). Patients with HR+/HER2- tumors had the lowest pCR rate: only 1 of 57 (1.8%) of those patients experienced a pCR. In contrast, 8 of 33 (24.2%) patients with HR-/HER2- tumors achieved a pCR. The odds ratio for achieving a pCR in the HR-/HER2- group was 17.92 as compared to the HR+/HER2- subgroup (P = 0.008). Interestingly, patients with HR+/HER2+ tumors had a similar pCR rate than those with HR-/HER2- tumors (23.1%, hazard ratio HR+/HER2+ vs. HR+/HER2- 16.8, P = 0.019, Table 1). In the HR-/HER2+ subgroup, however, the pCR rate was not significantly different from the HR+/HER2- subgroup (7.7%; OR 4.67 P = 0.288).

Figure 2View larger versionFigure 2. Rate of patients achieving a pCR in dependence of biology-based tumor type (p: likelihood ratio test), Ki67 labeling index, CK5/6 expression, grading, and pre-operative chemotherapy. p: logistic regression.

See full tableTable 1. Correlation with pCR (univariate logistic regression analysis)

Association of other factors with pCR

The pCR rate was significantly correlated with Ki67 labeling index (P = 0.001), CK5/6 expression (P = 0.017), tumor grade (P = 0.003), and treatment arm (P = 0.034) (Table 1 and Figure 2).

Association with pCR - multivariate analysis

In an exploratory multivariate logistic regression analysis including the significant predictive markers from univariate analysis (biology-based tumor types, Ki67 labeling index, CK5/6 expression, grading, treatment arm; Table 2), the HR+/HER2+ subgroup was independently linked to a higher pCR rate (P = 0.046; compared to HR+/HER2-) while the HR-/HER2- group lost its predictive significance. Furthermore, Ki67 staining and treatment arm were of independent predictive value (P = 0.028 and P = 0.036, Table 2).

See full tableTable 2. Multivariate analysis (logistic regression and Cox regression analysis)

Association of HR-/HER2-(triple negative) subgroups with pCR

We evaluated the hypothesis that molecular markers could be used to divide the triple-negative tumors into different subgroups wit different clinical outcome. As shown in Table 3, HR-/HER2- tumors could be divided into subgroups with different pCR rates according to their proliferation rate. HR-/HER2- tumors were more likely to respond if they showed an increased Ki67 level: a significantly higher pCR rate was seen in tumors with > 20% positive nuclei (63.6% vs. 0%, P < 0.0001, χ2 test), and an increase of 10% of Ki67-labeled tumor cells equaled a hazard ratio of 1.92 (P = 0.006, Table 3). Although the pCR rate in HR-/HER2- carcinomas was higher when they expressed CK5/6 (37.5%) compared to 15% for CK5/6 negative tumors, the sub-classification by CK5/6 was not a significant predictor. COX-2, or YB-1 expression were not relevant for response prediction in the HR-/HER2- group.

See full tableTable 3. Correlation of HR-/HER2- subgroups with pCR (univariate logistic regression analysis)

Association of biology-based tumor types with DFS

Patient prognosis was significantly dependent on the biology-based tumor type P < 0.0001, Figure 3A, Table 4): Interestingly, the behavior of HER2 expressing tumors was dependent on co-expression of HR. Thus, tumors from the HR+/HER2+ category had a relatively favorable prognosis similar to HR+/HER2- cancers (hazard ratio 1.26 compared to HR+/HER2-, P = 0.770; 3-year survival rate 90.0%). In contrast, a HR-/HER2- status was associated with a significant deterioration of the prognosis (hazard ratio 2.23 compared to HR+/HER2-; 3-year survival 65.0%, P = 0.016) and patients with HR-/HER2+ tumors had the shortest survival time of all groups (hazard ratio 9.32 compared to HR+/HER2-; 3-year survival 33.3%, P < 0.0001). Patients with HR+/HER2- tumors had the longest time to disease progression with a 3-year survival rate of 96.3%.

See full tableTable 4. Correlation with disease-free survival (Cox regression analysis)

Figure 3View larger versionFigure 3. (a) Kaplan-Meier curve indicating disease-free survival times of patients in dependence of breast cancer subclassification. (b) Disease-free survival of patients who did not achieve a pCR in dependence of biology-based tumor type. p: Cox regression.

Analyzing only the 95 patients without pCR we found the same results, especially women with HR+/HER2- and HR+/HER2+ tumors relapsed in only 10 from 55 cases (P < 0.0001, log rank test, 18.2%, Figure 3B). In contrast, women with HR-/HER2+ cancers relapsed frequently, in 8 out of 11 cases (72.7%) as did women with HR-/HER2- tumors (8/19, 42.1%).

Association of other factors with DFS

Pathological lymph node state after chemotherapy (ypN) was a further significant prognostic factor for DFS (P = 0.021, Table 4). No other clinico-pathological factor or biomarker, including Ki67 labeling index, had prognostic impact in the whole study group or in the HR-/HER2- subgroup (data not shown).

Association with DFS - multivariate analysis

An exploratory multivariate Cox regression analysis including biology-based tumor types, nodal status and pCR (Table 2) confirmed biology-based tumor type as an independent prognostic factor for DFS. Thus, the HR-/HER2+ as well as the HR-/HER2- subgroup remained significant risk factors for a disease relapse as compared to HR+/HER2- tumors (P < 0.0001 and 0.003, respectively). Nodal state remained a significant prognostic factor in multivariate analysis, too (P = 0.013).

Discussion

Our study demonstrates that breast cancer subclassification based on HR and HER2 expression as used in standard diagnostics bears potential for the prediction of a pCR in patients with operable breast cancer receiving neoadjuvant chemotherapy with anthracycline and taxane and has a prognostic impact. Interestingly, the coexpression of HER2 and HR was found to be relevant for prediction of therapy response as well as assessment of long term benefit. HR+/HER2+ co-expressing tumors had a high response rate and showed a favorable DFS similarly to HR+/HER2- tumors, which however, responded rarely. A particularly low response rate as well as a poor prognosis was seen for HR-/HER2+ breast cancers. Further on, HR-/HER2- tumors were linked to a higher pCR rate, yet relapsed significantly earlier if they did not achieve a pCR.

Even though the determination of HR and HER2 status is routinely performed in breast cancer diagnostics, the predictive and prognostic value of a classification based explicitly on HR/HER2 expression has been rarely analyzed and in part only been reported in supplemental data. Basically, these studies showed similar results to ours: Guarneri et al. found retrospectively in a cohort of 1,731 breast cancer patients treated with varying neoadjuvant anthracycline-based regimes that ER+/HER2+ carcinomas had a higher pCR rate than ER+/HER2- tumors (15.3% vs. 6%) [30]. The highest pCR rates in this study were observed in ER-/HER2+ (29%) and in ER-/HER2- carcinomas (22.4%). Five-year disease-free survival rate was only slightly lower in ER+/HER2+ than in ER+/HER2- tumors (66.3% vs. 60.2%) and was lowest in ER-/HER2+ tumors (43.7%) just like in our study. Similarly, in a retrospective study including 1,118 patients treated with various neoadjuvant chemotherapeutic regimes Liedke et al. found equally high pCR rates in ER+/HER2+ and ER-/HER2- carcinomas (21% vs. 22%; ER+/HER2-: 5%, ER-/HER2+: 31%). Three-year disease-free survival rate was similar in ER+/HER2+ and in ER+/HER2- carcinomas (70% vs. 73%) and was as low in ER-/HER2+ tumors as in ER-/HER2- tumors (61% and 63%) [31]. In a study setting similar to ours, Carey et al. showed in 107 patients treated with anthracycline-based neoadjuvant chemotherapy that in HR+/HER2+ tumors pCR rate was higher than in HR+/HER2- tumors, and DFS was worse in HR+/HER2+ co-expressing than in HR+/HER2- tumors, yet was still clearly better than in HR-/HER2- or HR-/HER2+ tumors [32]. Regarding these results and our data presented here, it is conceivable that patients with HR and HER2 co-expressing breast carcinomas might constitute a group that particularly benefits from neoadjuvant chemotherapy as demonstrated by high pCR rates and favorable survival times. This is in contrast to HR+/HER2- tumors that rarely respond but nevertheless show favorable survival rates. The results according to the response rate of HR-/HER2+ tumors are conflictive as the studies cited above found high pCR rates in this subgroup, in contrast to our results. Of note, neither in the Geparduo cohort nor in the cohorts described above trastuzumab had been included in the neoadjuvant therapy regime as this was no standard at the time of study execution. As newer studies using trastuzumab in patients with HER2+ tumors have shown almost doubled pCR rates, it will be compelling to elucidate whether the predictive and prognostic effects described above would be altered by the addition of anti-HER2 agents.

Some interesting facts about the molecular interaction of hormone receptors (particularly ER) and HER2 have been reported to date: estrogen generally downregulates HER2 expression [33,34], a mechanism that does not seem to be relevant in HR/HER2 co-expressing carcinomas from hitherto unknown reasons [16]. Moreover, ER can activate HER2 by membrane non-genomic estrogen signaling, while HER2 activates ligand-independently ER by mitogen-activated protein kinase (MAPK)-/protein kinase B (AKT)-mediated phosphorylation [35]. These interactions have been supposed to be underlying the relative resistance and worse prognosis of breast cancers that co-express ER and HER2 and that have been treated with tamoxifen [36]. However, the situation in patients that are treated with primary chemotherapy is presumably quite different and there are no functional data that explicitly refer to this group of tumors. In the adjuvant setting HER2+ tumors respond well to an anthracycline-based therapy [37] and it is conceivable that this might be also the case in HR+/HER2+ tumors in the neoadjuvant setting as reflected by high pCR rates. For long-term prognosis the phenotype of HR positive tumors cells (higher differentiation, slower proliferation, etc.) seems to be more relevant in receptor co-expressing tumors and may even be amplified by HER2-mediated ER activation. Yet, the exact mechanisms remain to be elucidated in future functional studies.

The other biology-based tumor type for which we found a particular behavior as to response and survival is the HR-/HER2- (triple negative) subgroup. In line with previous reports in the neoadjuvant and adjuvant setting [30-32,38-40], we observed a relatively short survival time in spite of a high response rate. Carey and Liedke explained this with the exceptionally poor prognosis of patients with HR-/HER2- tumors not achieving a pCR [31,32]. We also saw a higher rate of disease-relapses in HR-/HER2- tumors without pCR than with pCR (42.1% vs. 20%). A predictive factor for neoadjuvant chemotherapy response might thus also be a reliable prognostic factor in the HR-/HER2- subtype. However, in our group highly proliferating tumors were more likely to respond, which may be explained by the fact that actively dividing cells are the target of cytotoxic drugs, but a high Ki67 labeling index was not linked to a better prognosis. Independent of the biology-based tumor type, Ki67 staining per se was an independent predictive but no prognostic factor in the whole study group, indicating that as to long-term survival proliferation is not as relevant as HR or HER2 expression. Yet, our findings support the concept that HR-/HER2- carcinomas are a heterogeneous groups of tumors which should be subdivided further [18,19]. The expression of basal cytokeratins has been reported as one distinctive feature of the so-called basal-like carcinomas, a highly aggressive breast cancer subtype according to the concept of intrinsic breast cancer subtypes, which have been defined by gene expression analysis [12]. In our whole study group CK5/6 expression was a predictive factor, but within the HR-/HER2- group the addition of CK5/6 expression did not add predictive or prognostic information to the determination of ER, PgR, and HER2, which however might have been a sample size problem. The problem with the poor-prognosis HR-/HER2- tumors is that no specific targeted therapy exists to date, in contrast to endocrine therapy in HR+ and trastuzumab or lapatinib in HER2+ breast cancers. Our hypothesis of a special predictive and prognostic role of COX-2 or YB-1-expression (for both molecules targeted therapies are available or are in development) [41,42] in HR-/HER2- carcinomas could not be proven in our study.

Certain limitations of our study should be stated: Due to the retrospective evaluation and the limited sample size it is primarily a hypothesis-generating study, and results remain to be investigated further in larger cohorts, preferentially in prospective trials [43]. However, the setting of a clinical trial ensures a clearly described population, homogenous treatment as well as well-documented and monitored data.

Conclusions

In summary, our results demonstrate that a breast cancer classification, simply based on the expression of the standard markers ER, PgR, and HER2 bears independent predictive and prognostic potential. Patients with HR-/HER2- tumors, particularly those without achievement of a pCR, are in need for further treatment options. Patients with HR-/HER+ tumors had an unfavorable prognosis, but can now be treated with anti-HER2 agents. In contrast, for HR+/HER2- carcinomas pCR was not relevant for prognosis, as DFS was long in spite of a low response rate. The HR+/HER2+ co-expressing carcinomas, so far insufficiently investigated, emerged as a group of tumors with a good response rate to neoadjuvant anthracycline/taxane chemotherapy and a favorable prognosis. This interesting group of tumors should be further investigated in prospective clinical trials and in functional studies.

Abbreviations

AC-DOC: doxorubicin plus cyclophosphamide followed by docetaxel; CI: confidence interval; CK5/6: cytokeratin 5/6; COX-2: cyclooxigenase-2; ddADOC: dose-dense doxorubicin plus docetaxel; DFS: disease-free survival; ER: estrogen receptor; HR: hormone receptor; HR+/HER2-: hormone receptor positive/HER2 negative; HR+/HER2+: hormone receptor positive/HER2 positive; HR-/HER2+: hormone receptor negative/HER2 positive; HR-/HER2-: hormone receptor negative/HER2 negative; OR: odds ratio; pCR: pathological complete response; PgR: progesterone receptor; SISH: silver-enhanced in situ hybridization; TMA: tissue microarray; YB-1: Y-box binding protein 1.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SDE evaluated the immunohistochemical and SISH stainings, performed statistical analysis, contributed to the study design, and drafted the manuscript. SL, BM, CD, and GVM participated in data interpretation and study design, and extensively reviewed the manuscript. MR and MK participated in data acquisition and interpretation. JB participated in the statistical analysis. KS was responsible for the development of the software for evaluation of the TMA. AN, WW, and MD participated in data interpretation and extensively reviewed the manuscript. JUB, BG, ADB, CJ, MK, and KR participated in the clinical studies as well as the collection of tumor samples. All authors read and approved the final manuscript.

Supplementary Material

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Acknowledgements

We would like to thank Mrs. Petra Wachs for her excellent technical assistance. This project was supported by a grant from the Berliner Krebsgesellschaft.

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Figure 1.

(a) Strong expression of ER in a ductal-invasive breast carcinoma. (b) Strong expression of PgR in a moderately differentiated breast carcinoma. (c) Complete membranous expression of HER2 in a high-grade breast carcinoma (3+). (d) Silver-enhanced in situ hybridization (SISH): multiple Her2 gene copies (black dots) in tumor cell nuclei of a Her2-amplified breast carcinoma. (e) Nuclear expression of Ki67 in a poorly differentiated breast carcinoma. (f) Focal perimembranous expression of CK5/6 in a high grade tumor. (g) Moderate cytoplasmic expression of COX-2 in a ductal-invasive breast carcinoma. (h) Diffuse cytoplasmic expression of YB-1 in invasive breast cancer nests.

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Figure 2.

Rate of patients achieving a pCR in dependence of biology-based tumor type (p: likelihood ratio test), Ki67 labeling index, CK5/6 expression, grading, and pre-operative chemotherapy. p: logistic regression.

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Table 1.

Correlation with pCR (univariate logistic regression analysis)

| n | events | % pCR | OR | 95% CI | p
age (per year) | 116 | 13 | - | 0.96 | 0.90-1.01 | 0.128
biology-based tumor type | 116 | 13 |  |  |  | 0.044a
 HR+/HER2- | 57 | 1 | 1.8 | 1.00 |  |
 HR+/HER2+ | 13 | 3 | 23.1 | 16.80 | 1.59-178.12 | 0.019
 HR-/HER2+ | 13 | 1 | 7.7 | 4.67 | 0.27-79.96 | 0.288
 HR-/HER2- | 33 | 8 | 24.2 | 17.92 | 2.13-151.04 | 0.008
Ki67 | 106 | 12 |  |  |  |
 <= 20% | 85 | 5 | 5.9 | 1.00 |  |
 > 20% | 21 | 7 | 33.3 | 8.00 | 2.22-28.79 | 0.001
CK5/6 | 114 | 13 |  |  |  |
 negative | 107 | 10 | 9.3 | 1.00 |  |
 positive | 7 | 3 | 42.9 | 7.28 | 1.42-37.22 | 0.017
COX-2 | 101 | 12 |  |  |  |
 negative | 27 | 5 | 18.5 | 1.00 |  |
 positive | 74 | 7 | 9.5 | 0.46 | 0.13-1.60 | 0.221
YB-1 | 106 | 12 |  |  |  |
 negative | 71 | 8 | 11.3 | 1.00 |  |
 positive | 35 | 4 | 11.4 | 1.02 | 0.28-3.36 | 0.980
therapy arm | 116 | 13 |  |  |  |
 ddADOC | 61 | 3 | 4.9 | 1.00 |  |
 AC-DOC | 55 | 10 | 18.2 | 4.30 | 1.12-16.53 | 0.034
histology | 116 | 13 |  |  |  | 0.767a
 ductal-invasive | 98 | 12 | 12.2 | 1.00 |  |
 lobular | 14 | 0 | 0.0 | 0.00 | 0.00- - | 0.999
 others | 4 | 1 | 25.0 | 2.39 | 0.23-24.86 | 0.466
grade | 116 | 13 |  |  |  |
 G1-2 | 76 | 3 | 3.9 | 1.00 |  |
 G3 | 40 | 10 | 25.0 | 8.11 | 2.09-31.55 | 0.003
cT | 116 | 27 |  |  |  | 0.570a
 cT1 | 9 | 2 | 22.2 | 1.00 |  |
 cT2 | 87 | 9 | 10.3 | 0.40 | 0.07-2.25 | 0.300
 cT3 | 20 | 2 | 10.0 | 0.39 | 0.05-3.32 | 0.388
cN | 116 | 27 |  |  |  |
 cN0 | 79 | 8 | 10.1 | 1.00 |  |
 cN1-2 | 37 | 5 | 13.5 | 1.39 | 0.42-4.57 | 0.591

OR: odds ratio; CI: confidence interval; a: overall significance.

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Table 2.

Multivariate analysis (logistic regression and Cox regression analysis)

| correlation with pCR | correlation with survival
| OR | 95% CI | p | hazard ratio | 95% CI | p
biology-based tumor type |  |  | 0.258a |  |  | < 0.0001a
 HR+/HER2- | 1.00 |  |  | 1.00 |  |
 HR+/HER2+ | 14.28 | 1.05-194.31 | 0.046 | 1.88 | 0.39-9.04 | 0.432
 HR-/HER2+ | 5.35 | 0.25-116.83 | 0.287 | 16.78 | 5.75-48.97 | < 0.0001
 HR-/HER2- | 6.01 | 0.53-67.84 | 0.147 | 4.24 | 1.62-11.12 | 0.003
Ki67 |  |  |  |  |  |
 <= 20% | 1.00 |  |  |  |  |
 > 20% | 10.37 | 1.29-83.28 | 0.028 | - | - | -
CK5/6 |  |  |  |  |  |
 negative | 1.00 |  |  |  |  |
 positive | 0.51 | 0.04-7.57 | 0.627 | - | - | -
therapy arm |  |  |  |  |  |
 ADoc | 1.00 |  |  |  |  |
 ACDoc | 11.97 | 1.17-122.16 | 0.036 | - | - | -
grade |  |  |  |  |  |
 G1-2 | 1.00 |  |  |  |  |
 G3 | 5.59 | 0.93-33.70 | 0.061 | - | - | -
ypN |  |  |  |  |  |
 cN0 |  |  |  | 1.00 |  |
 cN1-2 | - | - | - | 2.77 | 1.24-6.18 | 0.013
pCR |  |  |  |  |  |
 no pCR |  |  |  | 1.00 |  |
 pCR | - | - | - | 0.18 | 0.02-1.43 | 0.104

OR: odds ratio; CI: confidence interval; a: overall significance.

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Table 3.

Correlation of HR-/HER2- subgroups with pCR (univariate logistic regression analysis)

n
events
% pCR
OR
95% CI
p

HR-/HER2- subgroups
Ki67 (per 10%)
29
7
-
1.92
1.21-3.04
0.006

CK5/6
30
8

 negative
24
5
20.8
1.00

 positive
6
3
50.0
3.80
0.58-24.88
0.127

COX-2
26
7

 negative
9
3
33.3
1.00

 positive
17
4
23.5
0.62
0.10-3.66
0.593

YB-1
30
7

 negative
22
5
22.7
1.00

 positive
8
2
25.0
1.13
0.17-7.47
0.896

OR: odds ratio; CI: confidence interval.

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Table 4.

Correlation with disease-free survival (Cox regression analysis)

| n | events | 3-year survival rate (%) | hazard ratio | 95% CI | p
biology-based tumor type | 105 | 27 |  |  |  | < 0.0001a
 HR+/HER2- | 56 | 8 | 96.3 | 1.00 |  |
 HR+/HER2+ | 13 | 2 | 90.0 | 1.26 | 0.27-5.98 | 0.770
 HR-/HER2+ | 12 | 8 | 33.3 | 9.32 | 3.45-25.13 | < 0.0001
 HR-/HER2- | 24 | 9 | 65.0 | 2.23 | 1.24-8.40 | 0.016
Ki67 | 96 | 21 |  |  |  |
 <= 20% | 79 | 16 | 87.7 | 1.00 |  |
 > 20% | 17 | 5 | 70.6 | 1.43 | 0.52-3.94 | 0.486
pCR | 105 | 27 |  |  |  |
 no pCR | 95 | 26 | 80.0 | 1.00 |  |
 pCR | 10 | 1 | 90.0 | 0.29 | 0.04-2.15 | 0.227
ypN | 105 | 27 |  |  |  |
 ypN0 | 65 | 13 | 83.1 | 1.00 |  |
 ypN1-2 | 40 | 14 | 52.4 | 2.46 | 1.142-5.302 | 0.021

CI: confidence interval.

a: overall significance.

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Figure 3.

(a) Kaplan-Meier curve indicating disease-free survival times of patients in dependence of breast cancer subclassification. (b) Disease-free survival of patients who did not achieve a pCR in dependence of biology-based tumor type. p: Cox regression.

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