Literature DB >> 20664587

Increased mortality in HER2 positive, oestrogen receptor positive invasive breast cancer: a population-based study.

C A Purdie1, L Baker, A Ashfield, S Chatterjee, L B Jordan, P Quinlan, D J A Adamson, J A Dewar, A M Thompson.   

Abstract

BACKGROUND: This study assessed the impact of human epidermal growth factor receptor 2 (HER2) status on the outcomes in an unselected population of breast cancer patients who did not receive HER2-targeted therapy.
METHODS: HER2 status by immunohistochemistry and fluorescence in situ hybridisation was compared with clinicopathological data, overall survival (OS) and disease-free survival (DFS) for all patients presenting with breast cancer over 3 years.
RESULTS: In 865 patients (median follow up 6.02 years), HER2 positivity was identified in 13.3% of all cancers and was associated with higher tumour grade (P<10(-8)), lymphovascular invasion (P<0.001) and axillary nodal metastasis (P=0.003). There was a negative association with oestrogen-receptor (ER) and progesterone-receptor expression (P<10(-8)), but the majority (57%) of HER2+tumours were ER+HER2 positivity was associated with poorer OS (P=0.0046) and DFS (P=0.0001) confined to the lymph node-positive (LN+) and ER+ subgroups.
CONCLUSION: HER2-positive cancers were less common in this population-based cohort than most selected series. The association of HER2 positivity with poor prognosis was confined to the ER+ and LN+ subgroups. The survival deficit for the 7.5% of patients with ER+/HER2+ cancer compared with ER+/HER2- patients points to a significant subgroup of women who may not (currently) be considered for HER2-directed therapy.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20664587      PMCID: PMC2939790          DOI: 10.1038/sj.bjc.6605799

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


The uman pidermal growth factor eceptor 2 (HER2) gene is the human homologue of the rat oncogene neu, originally identified as a result of transformation of mouse fibroblasts by DNA derived from a chemically induced rat neuroblastoma (Shih ). This gene was shown to be homologous to the avian erythroblastosis virus (v-erb B) and the cellular epidermal growth factor receptor (EGFR) (Schechter , 1985). An EGFR-related gene was subsequently shown to be amplified in a human breast cancer cell line and named HER2 (King ). HER2 is a member of a type 1 trans-membrane protein family characterised by an extracellular ligand-binding domain, a trans-membrane domain and an intracellular tyrosine kinase domain. Ligand binding results in a conformational change causing tyrosine kinase activation and intracellular signalling. HER2 has no known ligand and probably operates by way of heterodimerisation with HER3 (Moasser, 2007). HER2 over-expression has been shown to result in increased invasiveness and tumourigenicity as well as increased proliferation, tumourigenic growth and transformed characteristics (Moasser, 2007). The significance of HER2 in human breast cancer was first identified when gene amplification was described in 30% of invasive tumours (Slamon ) and further studies showed that this amplification is commonly associated with elevated HER2 mRNA and protein levels (Slamon ) with the oncogenic effects of HER2 in human cancer being the result of gene amplification rather than mutation (Slamon ). In early studies, HER2 gene amplification was shown to predict poor prognosis (overall survival (OS) and disease-free survival (DFS)) and, furthermore, HER2 amplification was an independent prognostic variable superior to all other known variables except nodal metastasis (Slamon , 1989). The prognostic influence of HER2 positivity was shown in the node-positive (but not in node-negative) patient group (Slamon , 1989). Subsequent studies have presented conflicting data regarding the significance of HER2 positivity in relation to nodal metastasis. Some suggest that HER2 amplification (Seshadri ; Chia ), over-expression (Press ; Menard ) or a combination of both (Chia ; Curigliano ; Gonzalez-Angulo ; Tovey ) do predict outcome in node-negative patients, whereas a large pooled analysis of similar studies (selected on the basis of sufficient population size and follow-up) suggest that they do not (Mirza ). Some reasons for the conflicting evidence include patient selection, short follow-up, markedly differing methodologies for the assessment of HER2 amplification and over-expression (Ravdin and Chamness, 1995) and that in some studies ‘prognosis’ refers to DFS or relapse-free survival and not overall or breast cancer-specific survival (Curigliano ; Gonzalez-Angulo ). HER2-targeted therapy showed clinical utility through trials with trastuzumab, which showed increased time to progression in advanced disease (Slamon ), increased frequency of complete pathological response in the neo-adjuvant setting (Buzdar ) and prolonged DFS and OS in the adjuvant setting (Piccart-Gebhart ; Romond ; Smith ; Perez and Baweja, 2008). Subsequently, further clinically useful therapies such as lapatinib have emerged (Perez and Baweja, 2008). Whereas trastuzumab may also be active in some HER2– disease; the underlying mechanism for this is unclear (Paik ) and the focus remains on discerning which patients with HER2+ cancers might benefit from and should receive HER2-directed therapy. The published frequency of HER2 amplification ranges between 8 and 30% (Seshadri ; Press ; Ellis ; Crowe ; Park ; Frogne ; Sauter ; Tovey ) and protein over-expression even more widely, between 2 and 50% (Slamon ; Koeppen ; Sauter ) although, again, these studies differ in the methodologies used and the populations studied. The true frequency of HER2 amplification may be of the order of 15–17% in a less selected population (Walker ) and a recent review of HER2 testing suggests fluorescence in situ hybridisation (FISH) rather than immunohistochemistry (IHC) testing could be considered as the primary clinical test (Sauter ). However, such a reliance on FISH testing alone can risk missing patients who overexpress HER2 but are not amplified on FISH. Here we report the first population-based study, which has examined an unselected, consecutive series of invasive breast cancers presenting to a single cancer centre over a 3-year period. The aim of the study was to identify the true prevalence of HER2+ breast cancer and to explore the therapeutic and clinical implications in a population who had not received HER2-targeted therapy.

Materials and methods

Study population

The patients in this study comprise an unselected, consecutive series of 920 patients with invasive breast cancer presenting to the Regional Cancer Centre between 1 June 2000 and 30 June 2003. This represents 3 full years and the start of the study corresponds with the point at which HER2 analysis of all breast cancers became routine practice in Tayside, Scotland. The Cancer Centre treats all screen detected and symptomatic breast cancer patients from a defined geographic area (Tayside) with all patient records (including pathology and follow-up) maintained within one institution ensuring a complete database. The population within this region is relatively homogenous, Caucasian and stable in terms of movement into and out of the region, ensuring good follow-up and high levels of data completeness. The clinical data recorded included age at diagnosis, sex, mode of referral, final surgical treatment and adjuvant therapy. All patients undergoing curative surgery had adjuvant therapy (including chemotherapy) as per the Scottish Intercollegiate Guidelines Network (SIGN) guidelines (SIGN, 2005). Data on adjuvant chemotherapy and endocrine therapy were obtained from the oncology database. No patients received therapy directed at HER2 or other members of the EGFR family as this study documents outcomes before the licence of any HER2-directed therapy in this setting.

Pathology

All patients had pathology review by a single specialist breast pathologist (CAP) working within a pathology laboratory, which is fully accredited by Clinical Pathology Accreditation UK (CPA UK) Ltd. Data were recorded as per the National Health Service Breast Screening Programme Guidelines (NHSBSP) (1995) concerning tumour grade, tumour size, lymph node (LN) status and presence of lymphovascular invasion. The Nottingham Prognostic Index (NPI) was derived from these data (Haybittle ; Galea ).

Oestrogen receptor and progesterone receptor

Immunohistochemistry was carried out on diagnostic core biopsies using primary antibodies for oestrogen receptor (ER) (clone 6F11, 1 : 200) and progesterone receptor (PR) (clone 16, 1 : 800); both from Novocastra Laboratories Ltd, Newcastle Upon Tyne, UK. Antigen retrieval for ER and PR was carried out using a microwave pressure vessel followed by processing on a DAKO TechMate 500 Plus autostainer (Dako, Denmark) with the Dako REAL detection system (an indirect streptavidin/biotin method using anti-mouse antibody) and visualised with horseradish peroxidase and diaminobenzadine. The stained slides were scored using the ‘quickscore’ method (Detre ). Cases scoring 0–3 were regarded as negative from the point of view of endocrine therapy, whereas cases scoring ⩾4 were regarded as positive.

HER2 assessment

HER2 assessment (IHC and in situ hybridisation) was carried out in laboratories accredited by CPA UK Ltd and quality assured by the UK National External Quality Assurance Scheme. All cases underwent HER2 IHC using the CB11 monoclonal antibody on the diagnostic core biopsy as previously described (Purdie ) and scored using published criteria (Ellis ; Walker ). All of those cancers scoring ‘equivocal (2+)’ were subjected to HER2 FISH analysis. HER2 FISH was carried out using the PathVysion HER2 DNA probe kit (Vysis, Abbott Laboratories, Abbott Park, IL, USA) and assessed as described using standard criteria (Purdie ). Briefly, the ratio of orange HER2 signals to green alpha satellite CEP17 signals was calculated and amplification defined as a ratio of ⩾2.00. Cases scoring IHC negative (0), IHC negative (1+) or IHC equivocal (2+) but FISH negative were classified as HER2 negative and those scoring IHC equivocal (2+) and FISH positive or IHC positive (3+) were regarded as HER2 positive.

Follow-up

Follow-up data were obtained from the Cancer Centre breast oncology database. Where necessary, these data were backed up by contact with the patient's general medical practitioner or the registrar of deaths. Because of the stable nature of this population, complete follow-up data were obtained for all 776 patients who underwent surgery. In the case of patients who died, the date and the cause of death was recorded. All deaths that were not attributable to breast cancer were censored at the date of death. For those patients who developed recurrence during follow-up, the date of first recurrence was recorded along with the site of relapse; this being designated as local, regional or distant. Accordingly, the primary end points were breast cancer-specific OS and breast cancer-specific DFS.

Statistical analysis

All associations for 2 × 2 tables were carried out using a two-sided Fisher's Exact Test. For 3 × 2 tables a chi-squared (χ2) test with Yates’ correction was used. As the immunohistochemical analyses (ER, PR, HER2) were carried out on the diagnostic core biopsies, it was possible to test for associations between these parameters for all tumours undergoing biopsy. The pathological data on tumour grade, size, lymphovascular invasion, LN status and NPI can only be obtained from the surgical resection specimens, in which the entire tumour and LNs can be examined. These data are therefore confined to patients undergoing surgery. The planned subgroup analyses included these conventional pathological and hormone receptor expression parameters. Survival analysis was carried out by Kaplan–Meier survival curves analyzed by the log-rank test. Multivariate analysis was carried out using Cox's regression.

Multiple tumours

In the 39 patients who had multiple tumours and underwent surgery, the cancer with the highest NPI was used as the index lesion for the survival analysis as this tumour was the biologically most aggressive. In every case the tumour producing the highest NPI was also the tumour with the highest pathological grade. Furthermore, in all of the patients who had multiple tumours, one of which was HER2+, the HER2+ tumour was also the highest-grade tumour and the tumour with the highest NPI.

Results

A total of 920 female patients, mean age 61.7 years (range 25.8–96.9), diagnosed with invasive breast cancer between 1 June 2000 and 30 June 2003 had 965 tumours (41 of the patients had two or more cancers) (Figure 1). Fifty five patients (6.0%) only had a cytological diagnosis of malignancy on fine needle aspirate and no histological (biopsy) diagnosis, as co-morbidity or advanced disease at presentation precluded surgery. The remaining 865 (94.0%) patients underwent core biopsy of the primary breast tumour for ER, PR and HER2 analysis. In all, 89 of the 865 patients only had a core biopsy and no surgery because of co-morbidities or advanced disease at presentation. Overall 776 of the 865 patients underwent surgical resection with median duration of follow-up 6.02 years (range 63–100 months) and the pathological dataset included tumour size, tumour grade, presence of lymphovascular invasion (LVI), LN status and NPI.
Figure 1

CONSORT diagram of patient and tumour groups. a35 patients had 2 tumours, 4 patients had 3 tumours. bTwo patients in this group had two tumours, each. HER2, human epidermal growth factor receptor 2; LN, lymph node.

All of the patients in this study who had ER+ tumours were prescribed endocrine therapy. At the time of this study this was tamoxifen. Chemotherapy (predominantly anthracycline based) was administered to 26.2% of the patients in this study with a significantly higher proportion in HER2+ patients than in the HER2patients (45.7 vs 23.2% respectively, P<0.0001). In the node-negative group, this trend continued with 26.4% of HER2+ and 9.3% of HER2patients being given chemotherapy (P<0.001). The distribution of pathological parameters (Supplementary Table 1) showed the proportions that would be expected for a population which, in 2000–2003, was predominantly symptomatic (82%) in the presentation (Elston, 1984; Elston and Ellis, 1991; Galea ). The Kaplan–Meier plots for survival confirmed that, as expected, tumour grade (P<0.001), LN status (P<0.001), NPI (P<0.001), ER status (P<0.001) and PR status (P<0.001) were all predictive of OS and DFS (data not shown). Of the 910 cancers biopsied, 81.1% were ER+ and 69.6% PR+.

HER2 status

The median age at diagnosis was not significantly different for patients with HER2+ (59.4 years) vs HER2– (61.8 years) cancers (P=0.29, Mann–Whitney U-test) with no significant difference in the frequency of HER2 positivity by age decile (20–90). The results of the HER2 analysis (Table 1) showed that 121 out of 909 (13.3%) of the cancers in this unselected population were HER2+ and that 105 out of 776 (13.5%) patients had a HER2+ cancer (Table 2). HER2 positivity was associated with higher tumour grade, node positivity, higher NPI and the presence of LVI (Table 2 and Supplementary Table 2). Furthermore, HER2 status was associated with disease stage with 10.1% of stage I, 13.9% of stage II and 22.0% of stage III disease being HER2+ (P=0.006, X2=10.27, df 2, data not shown). Although there was a negative association between HER2 status and ER and PR expression, because most of the cancers were ER+ (81.1%), a majority (57.0%) of HER2+ cancers were also ER+ (Table 3).
Table 1

HER2 characteristics of all cancers in biopsy series

HER2 characteristics (IHC) N % N %
Negative (0)25427.9  
Negative (1+)45550.178886.7
Equivocal (2+) FISH–798.7  
Equivocal (2+) FISH+505.512113.3
Positive (3+)717.8  
Total909a100.0909a100.0

Abbreviations: FISH=fluorescent in situ hybridization; HER2=human epidermal growth factor receptor 2; IHC=immunohistochemistry.

HER2 characteristics of the 910 breast cancers in the biopsy series.

No HER2 status was available for one cancer (IHC ‘equivocal 2+’ but insufficient tissue for FISH analysis).

Table 2

Clinical and pathological associations of patients by HER2 status

  HER2– HER2+ Total  
  N (%) N (%) N (%) P a
Screening125 (18.6)14 (13.3)139 (17.9) 
Symptomatic546 (81.4)91 (86.7)637 (82.1) 
Total671 (100.0)105 (100.0)776 (100.0)0.22
Grade 1143 (21.4)1 (1.0)144 (18.6) 
Grade 2298 (44.5)21 (20.0)319 (41.2) 
Grade 3228 (34.1)83 (79.0)311 (40.2) 
Total669 (100.0)105 (100.0)774 (100.0)b10−12
Node negative411 (61.7)53 (50.5)464 (60.2) 
Node positive (1–3)190 (28.5)31 (29.5)221 (28.7) 
Node positive (4+)65 (9.8)21 (20.0)86 (11.1) 
Total666 (100.0)105 (100.0)771 (100.0)c0.009
GPG (2.10–3.40)d266 (40.1)12 (11.4)278 (36.2) 
MPG (3.41–5.40)d265 (39.9)52 (49.5)317 (41.2) 
PPG (>5.40)d133 (20.0)41 (39.1)174 (22.6) 
Total664 (100.0)105 (100.0)769 (100.0)b,c10−8
LVI absent510 (76.0)64 (61.0)574 (74.0) 
LVI present161 (24.0)41 (39.0)202 (26.0) 
Total671 (100.0)105 (100.0)776 (100.0)0.0018
ER+565 (84.2)58 (55.2)623 (80.3) 
ER–106 (15.8)47 (44.8)153 (19.7) 
Total671 (100.0)105 (100.0)776 (100.0)10−10
PR+492 (73.3)42 (40.0)534 (68.8) 
PR–179 (26.7)63 (60.0)242 (31.2) 
Total671 (100.0)105 (100.0)776 (100.0)10−10

Abbreviations: ER=oestrogen receptor; FISH=fluorescent in situ hybridization; GPG=good prognostic group; HER2=human epidermal growth factor receptor 2; LVI=lymphovascular invasion; MPG=moderate prognostic group; PPG=poor prognostic group; PR=progesterone receptor.

HER2 characteristics of the 776 surgically treated patients.

χ2 test with Yates’ correction for 3x2 tables, two-sided Fisher's exact test for 2x2 tables.

Two cancers showed a pCR to neo-adjuvant chemotherapy.

Five cancers had no axillary nodes as a result of previous axillary surgery.

Nottingham Prognostic Index.

Table 3

Association of HER2 status with hormone receptor expression

  HER2– HER2+ Total (%)  
  N (%) N (%) N (%) P a
ER+668 (84.8)69 (57.0)737 (81.1) 
ER−120 (15.2)52 (43.0)172 (18.9) 
Total788 (100.0)121 (100.0)909 (100.0)b<10−8
PR+582 (73.9)50 (41.3)632 (69.5) 
PR−206 (26.1)71 (58.7)277 (30.5) 
Total788 (100.0)121 (100.0)909 (100.0)b<10−8

Abbreviations: ER=oestrogen receptor; HER2=human epidermal growth factor receptor 2; PR=progesterone receptor. HER2 characteristics of 910 biopsied cancers (core biopsies and surgical resections).

Two-sided Fisher's exact test.

One cancer had insufficient tissue for HER2 fluorescent in situ hybridization analysis.

Survival

Follow-up data for overall (breast cancer specific) and disease (relapse) free survival were obtained for all 776 patients (100%) who underwent surgery (Table 4). HER2 positive status was associated with worse OS (log-rank test X2=8.027, df 1, P=0.0046) but HER2 status was not associated with prognosis by subgroup analysis for age at diagnosis, tumour grade or NPI group (data not shown). HER2 status was significantly associated with worse survival in LN+ patients (log-rank test X2=6.571, df 1, P=0.0104; Figure 2A) but not in the LN– group (log-rank test X2=0.012, df 1, P=0.912; Figure 2B). In patients with ER+ cancer, HER2 status was associated with a worse prognosis (log-rank test X2=7.465, df 1, P=0.0063; Figure 2C), whereas for the ER– group, HER2 positivity was not associated with a worse prognosis (log-rank test X2=1.379, df 1, P=0.240; Figure 2D).
Table 4

Outcome at 5 years

  5-Year DFS (%) 5-Year OS (%) χ2 P Hazard ratio
All cases
 HER2–85.588.28.0270.00461.881
 HER2+73.078.8   
      
Lymph node negative
 HER2–91.693.80.0120.9121.061
 HER2+87.695.8   
      
Lymph node positive
 HER2–75.979.76.5710.0101.903
 HER2+58.762.3   
      
ER–
 HER2–58.562.31.3790.2400.698
 HER2+67.068.9   
      
ER+
 HER2–90.493.07.4650.0062.434
 HER2+77.886.9   

Abbreviations: ER=oestrogen receptor; DFS=disease-free survival; HER2=human epidermal growth factor receptor 2; OS=overall survival; PR=progesterone receptor.

DFS and OS at 5 years were reported for 776 patients undergoing primary surgical therapy for breast cancer. Hazard ratio, χ2 and P-value for risk of death. Data derived from Kaplan–Meier analysis.

Figure 2

Kaplan–Meier plots of overall survival for HER2 status, (A) lymph node positive, (B) lymph node negative. (C) ER+, (D) ER–. HER2, human epidermal growth factor receptor 2; ER, oestrogen receptor.

Multivariate analysis using Cox's regression showed that HER2 status was not an independent prognostic variable in this population-based study when assessed along with the known prognostic predictors of tumour grade, size, LN status and ER (Table 5).
Table 5

Cox's regression analysis (survival)

Breast cancer death
Predictor β P RR (95% CI)
ER−1.25<0.0010.28 (0.19–0.44)
LN status0.95<0.0012.59 (1.68–3.99)
Tumour size0.82<0.0012.27 (1.66–3.09)
Tumour grade 30.710.0062.03 (1.23–3.35)
HER2 status<0.010.9991.00 (0.63–1.59)

Abbreviations: CI=confidence intervals; ER=oestrogen receptor; LN=lymph node; RR=relative risk.

Variables were analysed by Cox's proportional hazards regression model. Total number of cases 768 with 110 events. G-statistic χ2=153.57, df=5, P<0.0001.

ER status, positive vs negative; LN status, positive vs negative; tumour size, T1 vs T2 vs T3; tumour grade 3, grade 3 vs grades 1 and 2; HER2 status, positive vs negative.

Discussion

The patients and cancers in this study represent, uniquely, an unselected population of every patient who presented to a single geographically distinct cancer centre over a 3-year period. There was no selection bias on the basis of tumour size, grade, nodal status or disease stage and specimen processing, pathology review, IHC and FISH were tightly controlled. The pathological parameters of the cancers in this study (tumour grade, tumour size and node status) were comparable with those in other studies (Elston, 1984; Elston and Ellis, 1991) and were associated with clinical outcome in the way that would be anticipated from previous published work (Galea ). This indicates that the pathological assessment for the cohort presented is consistent with reported series (Elston, 1984; Elston and Ellis, 1991; Galea ) and confirms the representative nature of the population studied. Although there remains ongoing debate about the relative merits of IHC and FISH testing for routine clinical practice (Sauter ) and whether further refinement of HER2 testing such as phospho HER2 analyses (Frogne ) will add additional value remains to be seen, this series was based on current guidelines for HER2 testing (Ellis ; Walker ). The proportion of breast cancers in this series that were HER2+ was 13.3% overall with 13.5% of the patients undergoing surgery having a HER2+ cancer. These data are in keeping with national (UK) HER2 audit figures (Walker ) but lower than most previously published series (Slamon ; Seshadri ; Press ; Koeppen ; Ellis ; Crowe ; Park ), in which case selection for larger tumours to allow tumour sampling may have been used. This study includes 18% of cancers originating from a screening population, in which the preponderance of small, node-negative cancers may have a lower frequency of HER2 positivity (Chia ; Frogne ; Tovey ). It is proposed that 13.3% is an accurate assessment of the prevalence of HER2+ breast cancer in a Western population with a high incidence of breast cancer. The data show a clear and strong association between HER2 positivity and other poor prognostic features (Table 2), in keeping with previous studies (Seshadri ), and the same associations between HER2 and tumour grade, nodal metastasis, lymphovascular invasion, ER and PR expression whether analysis was conducted by individual tumour or by patient. HER2 positivity was not, however, an independent prognostic factor on Cox's regression analysis. We found no association between HER2 status and age at presentation. Data from the selected populations suggest that HER2 positivity is seen more commonly in younger women (Gonzalez-Angulo ), whereas others do not find this association (Chia ; Tovey ). This population-based study should give the most accurate assessment of the relationships between age and HER2 status and has failed to confirm any linkage. As expected, HER2+ patients had significantly worse OS and DFS than HER2women (Slamon ; Press ). However, planned subset analysis showed that this was largely confined to the node-positive and ER+ subgroups. The significance of HER2 status in node-negative cancers remains controversial, confounded by small series, differing methodologies, case selection bias and relatively short follow-up periods (Press ; Seshadri ; Ravdin and Chamness, 1995; Mirza ) or series pre-selected for good prognostic features (Chia ; Curigliano ; Gonzalez-Angulo ; Tovey ); issues abrogated in the 776 surgical patients with a median follow-up of 6.02 years examined in this study. These findings indicate that the survival deficit for HER2+ cases is largely confined to node-positive cancers. However, trastuzumab is effective in the node-negative subgroup (Piccart-Gebhart ), raising the intriguing possibility that the prognosis of such HER2+ patients may be therapeutically improved to exceed that of HER2patients at least in the node-negative group. Chemotherapy was given to 26.2% of the patients in this study. However, a significant difference in chemotherapy treatment with regard to HER2 status was seen with 45.7% of HER2+ and 23.2% HER2patients receiving chemotherapy (P<0.0001). This significant difference was also present in the node-negative group with 25.0% of HER2+ and 7.5% of HER2patients being given adjuvant chemotherapy (P<0.001). At the time of treatment planning for the patients in this study, HER2 status was not being used as a factor in the process as this study predates the publication of the adjuvant trastuzumab clinical trials (Piccart-Gebhart ; Romond ; Smith ; Perez and Baweja, 2008). Therefore, the increased use of chemotherapy in the HER2+ patients in this study reflects the association of HER2 positivity with other markers of tumour aggressiveness such as higher grade, higher stage and ER negativity (Tables 2 and 3). Thus, despite being more likely to have received adjuvant chemotherapy, the HER2+ patients had a worse survival. It is possible that the increased use of chemotherapy in the HER2+, node-negative group could be responsible for improving their survival to be closer to the HER2–, node-negative group (Figure 2B). However, as only 43 of 454 node-negative patients (9.5%) overall received adjuvant chemotherapy, this study is underpowered to confirm this point. While this population-based cohort study confirms that HER2+ cancers have a worse DFS and OS, the proportion of HER2+ breast cancers (13.3%) in this Caucasian, Western population is at the lower end of the published range (Slamon ; Seshadri ; Press ; Koeppen ; Ellis ; Crowe ; Park ; Chia ; Frogne ; Tovey ). However, this cohort analysis also highlights that women with ER+, HER2+ cancers (69 out of 909 (7.6%) of all cancers in 58 out of 776 (7.5%) of all patients) have a significantly worse prognosis than those with ER+, HER2– disease. This finding is similar to other studies in which HER2 status was associated with DFS in ER+ but not ER– disease even in small, node-negative series (Curigliano ), but different from some others in which the converse was observed (Chia ; Gonzalez-Angulo ). However, these studies were largely confined to specific subgroups of small, node-negative cancers and looked at relapse-free survival. The strength of our study lies in the fact that it is population based, has full follow-up data on all of the patients and looks at OS as well as DFS. Women with ER+, HER2+ cancers form a subgroup of patients for whom therapy targeting HER2 could be particularly advantageous. As 46.6% of these patients (27 out of 58), were node negative and standard prognostic indicators such as NPI and Adjuvant! Online do not currently include HER2 status, the prognosis of these ER+/HER2+ patients may be overestimated. In all, 57% of the HER2+ patients in this series were also ER+. Although HER2 status did not influence survival in node-negative patients in this population-based study, subgroup analysis of the HERA study has shown that trastuzumab therapy improves DFS in node-negative, HER2+ disease (Piccart-Gebhart ; Smith ). There were only 27 ER+, HER2+, LN– patients in this series (27 out of 771, 3.5%), so it would not be justified to carry out survival analysis on such a small number of patients. It is noteworthy that the survival difference between ER+, HER2+ and ER+, HER2patients only emerged after 3–4 years (Figure 2) so only longer follow-up of the large adjuvant trials and this series can be expected to elucidate whether node-negative patients should receive trastuzumab. It is possible that HER2+, ER+, LN– patients may get further benefit from trastuzumab, which might improve DFS and OS to above that of HER2–, ER+, LN– disease. Since the population of women reported in this study was diagnosed (2000–2003), adjuvant therapies directed against HER2 have become part of routine clinical practice. Therapy directed against HER2 (trastuzumab) can improve outcome in HER2+ breast cancers as adjuvant therapy along with chemotherapy (Piccart-Gebhart ; Romond ; Smith ; Perez and Baweja, 2008), although the duration of follow-up in most studies is relatively short. Subgroup analysis of cases in the HERA study showed that trastuzumab is equally effective in both ER+ and ER– cases (Piccart-Gebhart ; Smith ). However, guidelines in some countries (SIGN, 2005; Harnett ) stipulate that trastuzumab can only be administered in the adjuvant setting (outwith clinical trials) to patients who also receive adjuvant chemotherapy. In our community-based series, a majority of HER2+ patients were ER+ (57%) and as their prognosis could be overestimated on conventional criteria, some risk being undertreated. They comprised 7.5% of all patients with operable tumours (Table 2) and nearly half (3.5%) were node negative. The numbers are thus small but their management needs to be carefully evaluated to ensure that they are not undertreated.
  39 in total

Review 1.  Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Authors:  Attiqa N Mirza; Nadeem Q Mirza; Georges Vlastos; S Eva Singletary
Journal:  Ann Surg       Date:  2002-01       Impact factor: 12.969

2.  Use of chemotherapy plus a monoclonal antibody against HER2 for metastatic breast cancer that overexpresses HER2.

Authors:  D J Slamon; B Leyland-Jones; S Shak; H Fuchs; V Paton; A Bajamonde; T Fleming; W Eiermann; J Wolter; M Pegram; J Baselga; L Norton
Journal:  N Engl J Med       Date:  2001-03-15       Impact factor: 91.245

3.  HER2 assessment on core biopsy specimens using monoclonal antibody CB11 accurately determines HER2 status in breast carcinoma.

Authors:  Colin A Purdie; Lee B Jordan; Jean B McCullough; Sharon L Edwards; Joan Cunningham; Miriam Walsh; Andrew Grant; Norman Pratt; Alastair M Thompson
Journal:  Histopathology       Date:  2010-05       Impact factor: 5.087

4.  Recommendations for HER2 testing in the UK.

Authors:  I O Ellis; M Dowsett; J Bartlett; R Walker; T Cooke; W Gullick; B Gusterson; E Mallon; P B Lee
Journal:  J Clin Pathol       Date:  2000-12       Impact factor: 3.411

5.  The assessment of histological differentiation in breast cancer.

Authors:  C W Elston
Journal:  Aust N Z J Surg       Date:  1984-02

6.  The neu oncogene: an erb-B-related gene encoding a 185,000-Mr tumour antigen.

Authors:  A L Schechter; D F Stern; L Vaidyanathan; S J Decker; J A Drebin; M I Greene; R A Weinberg
Journal:  Nature       Date:  1984 Dec 6-12       Impact factor: 49.962

7.  Amplification of a novel v-erbB-related gene in a human mammary carcinoma.

Authors:  C R King; M H Kraus; S A Aaronson
Journal:  Science       Date:  1985-09-06       Impact factor: 47.728

8.  The neu gene: an erbB-homologous gene distinct from and unlinked to the gene encoding the EGF receptor.

Authors:  A L Schechter; M C Hung; L Vaidyanathan; R A Weinberg; T L Yang-Feng; U Francke; A Ullrich; L Coussens
Journal:  Science       Date:  1985-09-06       Impact factor: 47.728

9.  Transforming genes of carcinomas and neuroblastomas introduced into mouse fibroblasts.

Authors:  C Shih; L C Padhy; M Murray; R A Weinberg
Journal:  Nature       Date:  1981-03-19       Impact factor: 49.962

10.  A prognostic index in primary breast cancer.

Authors:  J L Haybittle; R W Blamey; C W Elston; J Johnson; P J Doyle; F C Campbell; R I Nicholson; K Griffiths
Journal:  Br J Cancer       Date:  1982-03       Impact factor: 7.640

View more
  17 in total

1.  Association of Genetic Variants in NF-kB with Susceptibility to Breast Cancer: a Case Control Study.

Authors:  Rabeb M Ghali; Sana Mahjoub; Sonia Zaied; Hanen Bhiri; Wael Bahia; Touhami Mahjoub; Wassim Y Almawi
Journal:  Pathol Oncol Res       Date:  2018-07-19       Impact factor: 3.201

2.  Expression of CDK7, Cyclin H, and MAT1 Is Elevated in Breast Cancer and Is Prognostic in Estrogen Receptor-Positive Breast Cancer.

Authors:  Hetal Patel; Rezvan Abduljabbar; Chun-Fui Lai; Manikandan Periyasamy; Alison Harrod; Carolina Gemma; Jennifer H Steel; Naina Patel; Claudia Busonero; Dena Jerjees; Judit Remenyi; Sally Smith; Jennifer J Gomm; Luca Magnani; Balázs Győrffy; Louise J Jones; Frances Fuller-Pace; Sami Shousha; Laki Buluwela; Emad A Rakha; Ian O Ellis; R Charles Coombes; Simak Ali
Journal:  Clin Cancer Res       Date:  2016-06-14       Impact factor: 12.531

3.  Poly (A)+ transcriptome assessment of ERBB2-induced alterations in breast cell lines.

Authors:  Dirce Maria Carraro; Elisa Napolitano Ferreira; Gustavo de Campos Molina; Renato David Puga; Eduardo Fernandes Abrantes; Adriana Priscila Trapé; Bedrich L Eckhardt; Bedrich L Ekhardt; Diana Noronha Nunes; Maria Mitzi Brentani; Wadih Arap; Renata Pasqualini; Helena Brentani; Emmanuel Dias-Neto; Ricardo Renzo Brentani
Journal:  PLoS One       Date:  2011-06-22       Impact factor: 3.240

4.  Inverse regulation of EGFR/HER1 and HER2-4 in normal and malignant human breast tissue.

Authors:  Marianne Hauglid Flågeng; Stian Knappskog; Ben P Haynes; Per Eystein Lønning; Gunnar Mellgren
Journal:  PLoS One       Date:  2013-08-22       Impact factor: 3.240

5.  Outcomes of HER2-positive early breast cancer patients in the pre-trastuzumab and trastuzumab eras: a real-world multicenter observational analysis. The RETROHER study.

Authors:  Patrizia Vici; Laura Pizzuti; Clara Natoli; Luca Moscetti; Lucia Mentuccia; Angela Vaccaro; Domenico Sergi; Luigi Di Lauro; Patrizia Trenta; Patrizia Seminara; Daniele Santini; Laura Iezzi; Nicola Tinari; Ilaria Bertolini; Valentina Sini; Marcella Mottolese; Diana Giannarelli; Francesco Giotta; Marcello Maugeri-Saccà; Maddalena Barba; Paolo Marchetti; Andrea Michelotti; Isabella Sperduti; Teresa Gamucci
Journal:  Breast Cancer Res Treat       Date:  2014-09-19       Impact factor: 4.872

6.  Hormone-sensing cells require Wip1 for paracrine stimulation in normal and premalignant mammary epithelium.

Authors:  Gerard A Tarulli; Duvini De Silva; Victor Ho; Kamini Kunasegaran; Kakaly Ghosh; Bryan C Tan; Dmitry V Bulavin; Alexandra M Pietersen
Journal:  Breast Cancer Res       Date:  2013-01-31       Impact factor: 6.466

7.  Expression of SATB1 and HER2 in breast cancer and the correlations with clinicopathologic characteristics.

Authors:  Xiangdong Liu; Yan Zheng; Chuanwu Qiao; Fei Qv; Jingnan Wang; Butong Ding; Yuping Sun; Yunshan Wang
Journal:  Diagn Pathol       Date:  2015-05-09       Impact factor: 2.644

8.  Progesterone receptor expression is an independent prognostic variable in early breast cancer: a population-based study.

Authors:  C A Purdie; P Quinlan; L B Jordan; A Ashfield; S Ogston; J A Dewar; A M Thompson
Journal:  Br J Cancer       Date:  2013-12-03       Impact factor: 7.640

9.  Expression profiling of nuclear receptors in breast cancer identifies TLX as a mediator of growth and invasion in triple-negative breast cancer.

Authors:  Meng-Lay Lin; Hetal Patel; Judit Remenyi; Christopher R S Banerji; Chun-Fui Lai; Manikandan Periyasamy; Ylenia Lombardo; Claudia Busonero; Silvia Ottaviani; Alun Passey; Philip R Quinlan; Colin A Purdie; Lee B Jordan; Alastair M Thompson; Richard S Finn; Oscar M Rueda; Carlos Caldas; Jesus Gil; R Charles Coombes; Frances V Fuller-Pace; Andrew E Teschendorff; Laki Buluwela; Simak Ali
Journal:  Oncotarget       Date:  2015-08-28

10.  HER2 overexpression and correlation with other significant clinicopathologic parameters in Ivorian breast cancer women.

Authors:  Nguiessan Alphonse Aman; Brahima Doukoure; Kouadio Donatien Koffi; Baumaney Sylvanus Koui; Zie Cheick Traore; Mohamed Kouyate; Ahoua Benjamin Effi
Journal:  BMC Clin Pathol       Date:  2019-01-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.