Abstract
Human epidermal growth factor receptor 2 (HER2) plays an important role in breast cancer progression and provides predictive information for response to targeted therapy including trastuzumab although this is limited. Downstream pathways, such as PI3K/Akt, are associated with HER2/HER3 heterodimerization promoting survival and proliferation amongst cancer cells. Thus, patient outcome and trastuzumab therapy effectiveness might be further characterised by HER2/HER3 dimerisation and its signalling pathways. HER2/HER3 dimerisation status was assessed, using chromogenic in situ Proximity Ligation Assay, in two breast cancer series: early stage primary breast cancer, including 224 HER2+ patients that were not submitted to trastuzumab, and HER2+ breast cancer where patients were treated with adjuvant trastuzumab (n = 143). Levels of biomarkers including PI3K, pAKT, ER, PgR, HER3, BCL2, p53, PTEN and p21 were measured using immunohistochemistry. Levels of HER2/HER3 heterodimers were compared with biomarker expression and patient outcome. An association between high levels of HER2/HER3 dimerisation and absence of hormone receptors, ER and PgR, was observed. We further show for the first time the presence of HER2/HER3 heterodimers and the loss of p21 expression in HER2+ breast cancer predicts a significantly poorer outcome when submitted to adjuvant trastuzumab. Breast cancer patients that reveal high levels of HER2/HER3 dimerisation and loss of p21 are associated with poor survival prognosis in patients with HER2+ breast cancer treated with adjuvant trastuzumab. Further quantification analysis of HER dimer/ligand complexes and downstream signalling pathways will begin to unravel the complex associations with patient outcome and its relationship with sensitivity to targeted treatment.
Keywords: Breast cancer, Trastuzumab, p21, HER2/HER3 heterodimers
Introduction
Breast cancer cases exhibiting overexpression of human epidermal growth factor receptor 2 (HER2) are correlated with poor patient survival [1–3]. HER family comprise four members, EGFR, HER2, HER3 and HER4 [4], which are part of the Type I group of receptor tyrosine kinases (RTKs) which have an important role regulating cell metabolism including migration, survival, adhesion, differentiation and proliferation [5, 6]. However, HER2 and HER3 are not able to stimulate cell signalling as monomers as HER2 does not possess an ectodomain competent for interaction with any ligand, whereas HER3 lacks the kinase complex [7]. In order to activate downstream signalling cascades, it is compulsory that cooperation between these two receptors occurs resulting into an active heterodimer [8].
The frequency of HER2 overexpression is 13–23 % in breast cancer and is associated with hormone receptor negative disease and thus associated with a poor prognosis [2, 4, 9] due to its aggressive behaviour and metastatic potential. [1, 3, 10]. Downstream pathways activated by overexpression of HER2 [11], include the RAS-MAPK pathway promoting proliferation, and the PI3K/Akt pathway resulting in apoptosis avoidance [7], angiogenesis [12], phospholipase Cγ and signal transducer and activation of transcription (STATs) proteins [13].
HER3 is overexpressed in 10–30 % of breast cancer and is also associated with poor prognosis [4]. The absence of an activated tyrosine kinase domain is explained by the possession of mutations on four amino acids resulting in tyrosine low activity and the obligation of dimerisation to trigger the signalling cascade [14, 15]. In breast carcinoma, the levels of HER3 can increase significantly when compared with normal cells due to overexpression, possibly instigated by protein translation or higher molecule half-life [16]. HER3 expression in breast cancer is highly associated with anti-apoptosis development by promotion of the PI3K signalling pathway [17].
Moreover, cell transformation and breast carcinoma progression might be triggered by HER2 and HER3 interaction [16] as this is the most common heterodimer associated with proliferative downstream pathways [15]. Therefore, the heterodimer HER2/HER3 could be essential to sustain a constitutive role of the PI3K downstream pathway [18].
HER2+ breast cancer patients are submitted to targeted therapy including trastuzumab (Herceptin™; Genentech; South San Francisco, CA). While trastuzumab interacts with HER2, the mechanism of action remains ill-defined. Despite the predictive value of HER2 positivity, only 35 % of patients with HER2+ metastatic breast cancer show response when submitted to trastuzumab alone [19]. However, when trastuzumab is applied with first-line chemotherapy, the levels of success can increase up to 84 % [20, 21]. Therefore, alternative mechanisms that are not disturbed by trastuzumab alone might be implicated in carcinoma expansion [22]. Moreover, trastuzumab might be effective at initial treatments, however, after a period resistance increases substantially [23], even though the overall survival time might be expanded if a combination with chemotherapy takes place [24, 25].
We have previously used chromogenic in situ proximity ligation assay (PLA) to quantify and characterise the expression of HER2/HER3 heterodimers in a large series of breast cancers which showed that HER2/HER3 heterodimers were detected in 13.1 % of all breast cancers and 73 % of HER2+ tumours [26]. While HER2/HER3 dimers were associated with proliferation, distant metastasis and poor patient outcome, it did not discriminate divergent outcomes within HER2+ breast cancer or predict response to trastuzumab.
Therefore, in this study, we have further characterised HER2/HER3 dimerisation and investigated its association with the relevant pathways to increase our understanding of this complex system of cross-talk between receptors and whether this could affect patient outcome and trastuzumab therapy effectiveness.
Materials and methods
Patient samples
Primary breast cancer series (unselected series)
The patient series comprised 1,858 unselected primary operable invasive breast carcinoma cases, presenting between 1986 and 1998, from the well-characterised Nottingham-Tenovus primary breast carcinoma series [27–29]. Clinicopathological parameters for this series are summarised in Table 1.
Table 1.
Clinicopathological characteristics of the unselected series (n = 1,858), HER2+ trastuzumab naïve series (n = 224), HER2+ adjuvant trastuzumab series (n = 143) and HER2+ Series (n = 367)
| Characteristics | Unselected series | HER2+ (trastuzumab naïve) | HER2+ (adjuvant trastuzumab) | HER2+ (naïve + adjuvant) |
|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | |
| Age at diagnosis (years) | ||||
| <50 | 601 (32.4) | 82 (36.6) | 61 (43.6) | 143 (39.3) |
| ≥50 | 1,256 (67.6) | 142 (63.4) | 79 (56.4) | 221 (60.7) |
| Menopausal | ||||
| Pre | 700 (37.7) | 92 (41.1) | 26 (18.6) | 118 (32.4) |
| Post | 1,154 (62.3) | 132 (58.9) | 114 (81.4) | 246 (67.6) |
| Death | ||||
| No | 1,043 (68.3) | 98 (50.3) | 133 (93.0) | 231 (68.3) |
| Yes | 483 (31.7) | 97 (49.7) | 10 (7.0) | 107 (31.7) |
| Tumour size (cm) | ||||
| <1.5 | 484 (26.1) | 38 (17.0) | 23 (16.1) | 61 (16.6) |
| ≥1.5 | 1,367 (73.9) | 186 (83.0) | 120 (83.9) | 306 (83.4) |
| Tumour grade | ||||
| 1 | 354 (19.1) | 5 (2.2) | 3 (2.1) | 8 (2.2) |
| 2 | 616 (33.3) | 33 (14.8) | 37 (25.9) | 70 (19.1) |
| 3 | 880 (47.6) | 186 (83.0) | 103 (72.0) | 289 (78.7) |
| Lymph node Stage | ||||
| 1 | 1,187 (64.1) | 122 (54.8) | 53 (37.3) | 178 (47.9) |
| 2 | 505 (27.3) | 67 (30.0) | 56 (39.4) | 123 (33.7) |
| 3 | 159 (8.6) | 34 (15.2) | 33 (23.2) | 67 (18.4) |
| Distant metastasis | ||||
| No | 1,288 (69.7) | 122 (54.5) | 124 (87.9) | 246 (67.4) |
| Yes | 559 (30.3) | 102 (45.5) | 17 (12.1) | 119 (32.6) |
| Vascular invasion | ||||
| Negative | 1,061 (58.2) | 118 (53.4) | 79 (56.0) | 197 (54.4) |
| Positive | 763 (41.8) | 103 (46.6) | 62 (44.0) | 165 (45.6) |
| Relapse | ||||
| No | 1,093 (60.4) | 108 (48.9) | 119 (83.9) | 227 (62.5) |
| Yes | 718 (39.6) | 113 (51.1) | 23 (16.1) | 136 (38.5) |
HER2+ trastuzumab naïve series
The HER2+ trastuzumab naïve series (n = 224) was composed by all HER2 positive cases part of unselected series. Clinicopathological parameters for this series are summarised in Table 1.
Biological characterisation, including immunoreactivity, marking and categorising of ER, progesterone receptor (PgR), and Triple Negative Phenotype (TN) were delineated in there series as previously described [30–33].
HER2+ adjuvant trastuzumab series
The HER2+ adjuvant trastuzumab series consisted of 143 primary operable breast tumours from patients presenting between 2003 and 2010 who received adjuvant trastuzumab. Clinicopathological parameters for this series are summarised in Table 1.
HER2+ series
Combining the HER2+ adjuvant trastuzumab and HER2+ trastuzumab naïve series resulted in the HER2+ series, which included 367 patients. Clinicopathological parameters for this series are summarised in Table 1.
Immunohistochemistry and chromogenic in situ hybridisation
TMAs were prepared as previously described [30]. Immunohistochemistry was performed using novolink polymer detection systems (Leica) using primary antibodies (Table 2). TMA sections were counterstained with Mayer’s haematoxylin.
Table 2.
Dilution, Source and pretreatment of antibodies used on both immunohistochemistry and in situ proximity ligation assay and the cut-off used to classify each biomarker
| Antibody [clone] | Dilution | Incubation time (min) | Source | Cut-off (%) |
|---|---|---|---|---|
| Hormone receptor proteins | ||||
| ER [SP1] | 1:50 | 30 | Dako | 0 |
| PgR [PgR 636] | 1:125 | 30 | Dako | 0 |
| Human epidermal growth factor receptor proteins | ||||
| HER2 | 1:400 | 30 | Dako | ASCO guidelines |
| Basal cytokeratins | ||||
| CK5/6 [D5/16 B4] | 1:20 | 30 | Dako | 10 |
| CK14 [LL002] | 1:100 | 30 | Novocastra | 10 |
| Cell Cycle associated proliferation and apoptosis related proteins | ||||
| Ki67 [MB-1] | 1:100 | 30 | Dako | 10–50a |
| PI3K | 1:50 | 60 | Sigma Aldrich | 30–100a |
| AktpS473 [14–5] | 1:10 | 30 | Dako | 60a |
| P21 [SX118] | 1:100 | 30 | Dako | 0 |
| Bcl-2 [124] | 1:100 | 30 | Dako | 30 |
| Tumour suppressor genes | ||||
| PTEN [6H2.1] | 1:100 | 60 | Dako | 10–100a |
| P53 [DO7] | 1:50 | 30 | Novocastra | 5 |
| BRCA1 [MS110] | 1:100 | 40 | Calbiochem | 100 |
| Apomucins | ||||
| MUC-1 [MA695] | 1:350 | 30 | Novocastra | 20–200a |
aH-score
Immunoreactivity of HER2 in TMA cores was scored using standard HercepTest guidelines (Dako). Chromogenic in situ Hybridisation (CISH) was used to quantify HER2 gene amplification using the HER2 FISH pharmDx™ plus HER2 CISH pharmDx™ kit (Dako) as previously described [26]. HER2 classification was assessed by using American Society of Clinical Oncology guidelines as previously described [26].
The expression of biomarkers were evaluated by assessing percentage staining and H-score [34]. Only invasive cancer cells localised within tissue cores were considered and only cores exhibiting at least 15 % of tumour cells were scored. TMAs were scored using high-resolution digital images (NanoZoomer; Hamamatsu Photonics), at ×20 magnification, using a web-based interface (Distiller; Slidepath Ltd.).
The REMARK guidelines were followed in the experimental procedures [35].
In situ proximity ligation assay (PLA)
Quantification of HER heterodimers was measured using in situ PLA for brightfield microscope as per the manufacturer’s instructions (Duolink kit, Olink) as previously described [26]. 4 μm TMA sections were mounted on X-tra™ adhesive micro slide (Surgipath, Leica). Deparaffinization was performed, and heat-induced antigen retrieval was executed for 20 min in citrate buffer (pH 6.0). Endogenous peroxidase was quenched using 0.3 % hydrogen peroxide for 5 min and followed by a blocking solution for 30 min at 37 °C. To detect heterodimers, target antibodies from two different species were applied at previously determined optimal conditions. The anti-HER2 rabbit antibody (Dako, 1:200) and anti-HER3 mouse antibody (clone 2F12, Neomarkers, 1:40) were used, and incubated together for 30 min at room temperature (RT). This was followed by incubation with the PLA probe in a pre-heated humidity chamber for 90 min at 37 °C. Hybridisation/ligation incubation took place for 30 min and amplification for 120 min at 37 °C. To detect hybridisation, Horse Radish Peroxidase was used and incubated for 30 min at RT followed by appliance of substrate solution for 10 min at RT. Counterstaining was performed using Duolink® nuclear staining for 2 min at RT followed by washing the slides under running tap water for 10 min. Slides were mounted with a coverslip after dehydration of the sections.
Image analysis
To quantify the HER2/HER3 heterodimers, image analysis was employed using Duolink® ImageTool (Olink, Sweden). High-resolution images of TMA sections were acquired at ×40 magnification (NanoZoomer).
One observer (FFTB) scored all IHC and PLA results, which were rescored arbitrarily revealing a high concordance between both occasions.
Statistical analysis
All statistical analyses were performed using SPSS 19.0 (SPSS Inc., Chicago, Illinois). Pearson’s χ 2 association analysis was employed in support of inter-relationships between HER2/HER3 dimerisation occurrence status with clinicopathological parameters, and biomarkers. For any relationship to be considered significant, a p value of <0.05 was used.
Ethics
Nottingham Research Ethics Committee 2 approved this research project under the title of ‘Development of a molecular genetics classification of breast cancer.’
Results
HER2/HER3 heterodimers and correlation with biomarkers
Table 3 summarises the correlations between HER2/HER3 dimer levels and biomarkers of importance in breast cancer. In the unselected series, a significant positive correlation was observed between high levels of HER2/HER3 heterodimer expression with pAkt (p = 0.044), PI3K (p < 0.001), p53 (p < 0.001) and PTEN (p = 0.006). There was a negative association between HER2/HER3 heterodimer expression and Bcl-2, BRCA1 (p = 0.005), ER, PgR (all p < 0.001) and MUC-1 (p = 0.020).
Table 3.
Association of HER2/HER3 dimerisation levels with biomarker expression in breast cancer
| HER2/HER3 Status | ||||||
|---|---|---|---|---|---|---|
| Biomarker | Unselected series | HER2+ series | ||||
| Low (%) | High (%) | p value (χ 2) | Low (%) | High (%) | p value (χ 2) | |
| Bcl-2 | ||||||
| Negative | 207 (41.0) | 53 (75.7) | <0.001 (29.925) | 32 (47.1) | 80 (66.1) | 0.010 (6.549) |
| Positive | 298 (59.0) | 17 (24.3) | 36 (52.9) | 41 (33.9) | ||
| pAkt | ||||||
| Negative | 121 (25.4) | 11 (15.5) | 0.044 (3.295) | 11 (29.7) | 11 (19.6) | 0.263 (1.255) |
| Positive | 356 (74.6) | 60 (84.5) | 26 (70.3) | 45 (80.4) | ||
| PI3K | ||||||
| Negative | 122 (22.1) | 7 (8.6) | <0.001 (15.942) | 4 (5.8) | 5 (3.7) | 0.105 (4.512) |
| Moderate | 143 (25.9) | 13 (16.0) | 12 (17.4) | 11 (8.2) | ||
| Strong | 288 (52.0) | 61 (75.3) | 53 (76.8) | 118 (88.1) | ||
| p21 | ||||||
| Negative | 99 (79.2) | 10 (90.9) | 0.351 (0.871) | 17 (45.9) (2.9) | 12 (23.5) | 0.027 (4.877) |
| Positive | 26 (20.8) | 1 (9.1) | 20 (54.1) | 39 (76.5) | ||
| MUC-1 | ||||||
| Negative | 69 (12.9) | 2 (2.6) | 0.020 (7.834) | 4 (5.6) | 4 (3.1) | 0.581 (0.581) |
| Moderate | 243 (45.3) | 43 (56.6) | 39 (54.9) | 66 (52.0) | ||
| Strong | 224 (41.8) | 31 (40.8) | 28 (39.4) | 57 (44.9) | ||
| BRCA1 | ||||||
| Negative | 317 (61.0) | 59 (77.6) | 0.005 (7.913) | 48 (72.7) | 85 (69.1) | 0.603 (0.270) |
| Positive | 203 (39.0) | 17 (22.4) | 18 (27.3) | 38 (30.9) | ||
| p53 | ||||||
| Negative | 435 (71.7) | 46 (48.9) | <0.001 (19.524) | 27 (36.0) | 45 (31.5) | 0.499 (0.457) |
| Positive | 172 (28.3) | 48 (51.1) | 48 (64.0) | 98 (68.5) | ||
| PTEN | ||||||
| Weak | 79 (22.8) | 3 (5.5) | 0.006 (10.092) | 0 (0.0) | 5 (5.7) | 0.265 (2.653) |
| Moderate | 130 (37.5) | 21 (38.2) | 21 (53.8) | 40 (45.5) | ||
| Strong | 138 (39.8) | 31 (56.4) | 18 (46.2) | 43 (48.9) | ||
| ER | ||||||
| Negative | 169 (28.3) | 56 (60.2) | <0.001 (37.424) | 23 (31.1) | 91 (62.8) | <0.001 (19.699) |
| Positive | 429 (71.7) | 37 (39.8) | 51 (68.9) | 54 (37.2) | ||
| PgR | ||||||
| Negative | 264 (44.2) | 65 (70.7) | <0.001 (22.321) | 36 (48.6) | 100 (71.4) | 0.001 (10.845) |
| Positive | 333 (55.8) | 27 (29.3) | 38 (51.4) | 40 (28.6) | ||
Bold values indicate significant values (p < 0.005)
Within the HER2+ series, there were similar correlations but an association with p21 (p = 0.027) and lack of correlation with PTEN and p53 were observed.
Representative tumours showing HER2/HER3 heterodimers and p21 expression are shown in Fig. 1.
Fig. 1.
p21and HER2/HER3 heterodimer expression in two HER2 + breast tumours. p21 expression: a, low and b, high at 10× magnification. HER2/HER3 heterodimer expression: High expression (c, 10× magnification; e, 40× magnification) and low expression (d, 10 × 21 magnification; f, 40× magnification)
Association of HER2/HER3 heterodimers with patient outcome
HER2/HER3 heterodimers were associated with poor patient outcome (BCSS and DFI) in the unselected series but not in the HER2+ naïve or HER2+ trastuzumab series (Fig. 2). Kaplan–Meier survival analyses showed that BCSS and DFI outcome of those cases submitted to adjuvant trastuzumab treatment against trastuzumab naïve patients which revealed a significantly better patient outcome in patients receiving trastuzumab (p < 0.001, data not shown).
Fig. 2.
BCSS and DFI analysis for HER2/HER3 heterodimer status. Unselected series (a, b), trastuzumab Naïve Series (c, d) and trastuzumab adjuvant series (e, f)
Further analysis showed that amongst the ER-positive population in the unselected series, high HER2/HER3 dimerisation was significantly associated with shorter BCSS and DFI in both the short (5 years) and long (maximum 26 years, median 11 years) term (Fig. 3). A multivariate Cox regression model, including tumour size, tumour stage and tumour grade, revealed that high levels of HER2/HER3 amongst the ER-positive patients were independently associated with worse BCSS (HR = 0.46, 95 % CI 0.29–0.74, p = 0.001, Table 4) but not with DFI (HR = 0.67, 95 % CI 0.43–1.06, p = 0.087). There was no correlation between HER2/HER3 heterodimer and patient outcome in the ER-negative population of the unselected series for both short- and long-term BCSS (Fig. 3). There was likewise no association with BCSS in either ER-positive or ER-negative expression with high levels of HER2/HER3 heterodimers in the HER2+ naïve or trastuzumab series.
Fig. 3.
HER2/HER3 heterodimer expression in unselected breast cancer and patient outcome. ER positive (a, b) and ER negative (c, d) tumours for BCSS and DFI
Table 4.
Multivariate Cox regression analysis of factors associated with BCSS and DFI for ER-positive cases in the unselected series
| Variable | BCSS | DFI | ||
|---|---|---|---|---|
| Hazard ratio (95 % CI) | p value | Hazard ratio (95 % CI) | p value | |
| Tumour size (cm) | 0.48 (0.28–0.85) | 0.011 | 0.57 (0.38–0.85) | 0.007 |
| Tumour stage | 1.69 (1.33–2.16) | <0.001 | 1.61 (1.30–1.99) | <0.001 |
| Tumour grade | 1.77 (1.37–2.30) | <0.001 | 1.22 (0.99–1.49) | 0.059 |
| HER2/HER3 heterodimer | 0.46 (0.29–0.74) | 0.001 | 0.67 (0.43–1.06) | 0.087 |
In the HER2+ trastuzumab series, there was a significantly better overall survival of patients who had high levels of HER2/HER3 dimersation but were negative for p21 expression compared with patients who were either p21 positive or did not have HER2/HER3 dimerisation (p = 0.001, Fig. 4a). A similar observation was made with disease-free interval (p = 0.015, Fig. 4b). There were no other associations in the HER2+ trastuzumab or naïve series with either OS or PFS between HER2/HER3 heterodimers and the other biomarkers investigated in this study.
Fig. 4.
Patient outcome with respect to HER2/HER3 and p21 status in HER2+ breast cancer treated with trastuzumab. Overall survival (a) and disease-free interval (b). HER2/HER3 + p21- (n = 13), Other groups: HER2/HER2 + p21 + , HER2/HER3- p21 + , HER2/HER3-p21- (n = 75). Time in months
Discussion
HER2/HER3 heterodimers have been described as to be the major interaction in HER2-amplified breast carcinomas [36]. We and others have observed that approximately 70 % of all HER2+ tumours demonstrate HER2/HER3 heterodimers [26, 37]. Where HER3 interacts with HER2, downstream pathways responsible for proliferation and survival are triggered [38], also stimulating creation of metastases [39]. Therefore, in this study, chromogenic PLA was utilised to detect HER2/HER3 dimerisation levels in archival primary formalin-fixed breast carcinomas including HER2+ breast cancer, either receiving only chemotherapy or adjuvant trastuzumab and chemotherapy. Investigating HER2/HER3 dimers, along with downstream targets using IHC, aimed to improve and provide further detailed information of the biology of HER2+ disease and the mechanisms of targeted treatments and resistance.
HER2/HER3 develops an important role in promotion of cell proliferation and apoptosis avoidance [40]. Even though HER2/HER3 heterodimers were not associated with the cell proliferation marker, Ki67 [41] it was negatively associated with Bcl-2, which is highly correlated with apoptosis avoidance [42]. As a monomer, HER2 is not competent of interacting with PI3K subsequently activating the PI3K/Akt pathway. However, the HER2/HER3 heterodimer is favourably efficient performing it, which was confirmed by the strong association with both Akt and PI3K expression. This role is stimulated by HER3 that contains six tyrosine-binding points with the highest affinity for PI3 K amongst the HER family [17, 43, 44]. Therefore, instigation of HER3 results in a durable and strong trigger of the downstream PI3 K/Akt cascade [45]. Additionally, the high association of HER2/HER3 heterodimers with CK18 supports the idea that apoptosis does not take place amongst these cells due to CK18 high levels of degradation being associated with apoptosis [46, 47]. HER2/HER3 was also associated with strong levels of MUC-1, which is associated with poor prognosis amongst the breast cancer patients being described to be connected with the metastases progression process [48, 49].
Interestingly, it was observed that low HER/HER3 dimerisation levels were associated with ER and PR positivity. This fact is in concordance to those studies suggesting an absence of HER2 overexpression when hormone receptors are present in cancer cells [10, 50]. The high association between ER and BCL-2 is already documented [42] and observed in this study which might explain the poor outcome observed amongst those patients revealing high levels of HER2/HER3 and ER+ status. Moreover, the multivariate analysis revealed HER2/HER3 high levels as an independent prognostic factor for both BCSS and DFI. This finding is in concordance to the previous study [51], supporting the idea that this protein–protein interaction may deliver additional prognostic information to that obtained by HER2 gene amplification status. For those patients with negative ER status, no significant difference was observed regarding HER2/HER3. This indicates an inverse association between the dimerisation status and the expression of the hormone receptors, supporting the idea of a negative regulation of HER2 in the presence of hormone receptors [52], even though it can be partially reversible [50].
We have previously shown that the presence of HER2/HER3 heterodimers alone did not reveal a significant prognostic prediction in HER2+ breast cancer treated with adjuvant trastuzumab [26]. We show for the first time, the presence of HER2/HER3 heterodimers and the loss of p21 expression in HER2+ breast cancer predict a significantly poorer outcome when submitted to adjuvant Trastuzumab. Trastuzumab has been shown to interfere HER2+ intracellular signalling by inhibiting DNA damage repair, inducing cell cycle arrest and inhibiting tumour angiogenesis. There is conflicting in vitro data whether Trastuzumab directly affects DNA damage repair modulated by p21. A study by Pietras et al. [19] showed that it decreased p21 expression thereby promoting DNA damage, whereas another study showed little change in p21 levels [53]. However, there is stronger evidence that HER2 amplification or Trastuzumab promotes the cellular localisation of p21 thereby affecting the inhibition of cell proliferation [53–55], although in the current study, only nuclear p21 expression was taken into account.
In conclusion, loss of p21 expression mediated through HER2/HER3 heterodimerization is associated with poor outcome in patients with HER2+ breast cancer treated with adjuvant Trastuzumab. Incorporating further analysis in a larger series with longer follow-up is most likely to assist in qualifying this hypothesis. Additionally, characterisation of the ligands amongst HER2+ breast cancer is urgently required to create a more robust classification method in order to avoid high levels of unsuccessfully therapy.
Acknowledgments
We would like to thank the University of Nottingham for funding the Studentship.
Competing interests
The authors declare that they have no competing interests.
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