Abstract
Background
The aim of the present study was to investigate the long-term impact of prognostic factors in invasive lobular carcinoma (ILC) of the breast, with a primary focus on Ki67 and histological grade, alone and in combination with estrogen receptor (ER).
Material and methods
One hundred and ninety two well-characterised patients with ILC were included in the study. Ki67, histological grade and ER were evaluated and combined into a prognostic index (KiGE). All grade 1 tumours and ER-positive (ER+) grade 2 tumours with Ki67 ≤ 30% were classified as low-KiGE and all the others as high-KiGE.
Results
Overall, 31% of the patients have died from breast cancer. The median follow-up of the patients still alive was 21 years. Age, tumour size, axillary lymph node status (nodal status), histological grade, Ki67 and KiGE were significant prognostic factors for breast cancer mortality (BCM) in univariable analysis. In a multivariable model, adjusted for adjuvant treatment, age and progesterone receptor (PgR), the strongest prognostic factors for BCM were: Nodal status (hazard ratio (HR) = 2.9, 95% confidence interval (95% CI): 1.4-6.1), KiGE (HR = 2.0, 95% CI: 1.1-3.6), and tumour size (HR = 1.9, 95% CI: 0.98-3.8). By combining these three factors, 37% of the ILC’s could be further divided into a low-risk group, consisting of node negative small (≤ 20 mm) low-KiGE tumours, with a BCM of 5% (95% CI: 1-13%) at 10 years and 12% (95% CI: 5-22%) at 20 years follow-up. None of these patients recieved chemotherapy and only 2 recieved endocrine treatment with tamoxifen.
Conclusions
The combination of Ki67, histological grade and ER into KiGE, together with tumour size and nodal status make it possible to identify a large group of ILC patients with such a good long-term prognosis that chemotherapy can be safely avoided and exclusion of endocrine therapy considered.
Keywords: Breast cancer, Invasive lobular carcinoma, Ki67, Histological grade, Prognostic factors
Introduction
Invasive lobular carcinoma (ILC) is the second most common type of breast cancer (BC) after invasive ductal carcinoma (IDC) and comprises 5-15% of all breast cancers (Lakhani et al. 2012). The incidence of ILC appears to be increasing, particularly in postmenopausal women, and this finding may at least partly be related to hormone replacement treatment (Li et al. 2003; Reeves et al. 2006; Biglia et al. 2007). The lobular tumour cells are typically small, round, with a relatively harmless appearance, a scant cytoplasm and lack the cell adhesion molecule E-cadherin (Arpino et al. 2004; Acs et al. 2001; Rakha et al. 2010). There is a characteristic growth pattern with single-file infiltration of the benign breast tissue often without destroying normal anatomical structures (Martinez & Azzopardi 1979). Early detection by clinical examination and mammography can be difficult as ILC sometimes presents as poorly defined thickening of the breast tissue rather than as a distinct mass (Arpino et al. 2004; Singletary et al. 2005).
ILC is, compared to IDC, more often associated with higher age at diagnosis, larger tumour size, multicentricity, multifocality, bilaterality, histological grade 2, hormone receptor positivity, HER2 negativity, different metastatic pattern, lower cell proliferation rate and less responsiveness to chemotherapy (Arpino et al. 2004; Pestalozzi et al. 2008; Rakha et al. 2008a; Wiesner et al. 2009; Petrelli & Barni 2013). In spite of this, treatment strategies for ILC are often similar to those of other breast cancers, where most are of ductal origin. Three large recent studies, with long follow-up, comparing ILC and IDC show equal, or a trend towards slightly better, short-term outcome for ILC, followed by a higher incidence of late recurrences and a tendency to worse long-term outcome for ILC (Arpino et al. 2004; Pestalozzi et al. 2008; Rakha et al. 2008a). Age, tumour size, axillary lymph node status (nodal status), estrogen receptor (ER), progesterone receptor (PgR), histological grade and HER2, are widely accepted factors for the assessment of the prognosis and adjuvant treatment decision-making in breast cancer. In addition, the proliferation marker Ki67 was introduced as an important prognostic factor in the 2009 St Gallen guidelines (Goldhirsch et al. 2009). Studies presenting data on ILC show that the most powerful prognostic factors for this histological subtype are nodal status and tumour size (Arpino et al. 2004; Wasif et al. 2010; Sastre-Garau et al. 1996; Frost et al. 1995; Orvieto et al. 2008; Rakha et al. 2008b; Moreno-Elola et al. 1999). Histological grade has an important independent value in predicting outcome in IDC, but its prognostic impact in ILC is less clear (Rakha et al. 2008b; Wachtel et al. 2010; Talman et al. 2007; Sinha et al. 2000). The long-term prognostic value of Ki67 in ILC has not yet been fully studied. Recent studies by our group have shown the strong prognostic impact of an index (KiGE) combining Ki67, histological grade and ER in primary breast cancer, including all histological subtypes (Klintman et al. 2010; Strand et al. 2011,2013). The aim of the present study was to investigate the long-term prognostic value of Ki67 and histological grade alone and in combination with ER (KiGE), in a consecutive series of breast cancer patients with ILC and available data on long-term follow-up.
Material and methods
Patients
Between 1980 and 1991 a total of 264 cases of female breast cancer were coded as ILC at the Department of Pathology, Lund University Hospital, Sweden. Most patients were diagnosed before the start of the public mammography screening which was initiated in 1989 (Olsson et al. 2000).
Histopathological re-evaluation was made of all tumours by two pathologists (II, PB), without any knowledge of patient history. Thirteen patients with missing or technically not re-evaluable pathology specimens and 16 with tumours initially misclassified as ILC’s, were excluded. Clinical data revealed 7 patients with metastatic disease at the time of diagnosis, 14 with a previous history of breast cancer, and 5 with synchronous bilateral breast cancer. These patients were also excluded. Patients who subsequently developed a new breast cancer (independent of histopathological subtype) were included. Immunohistochemical analyses were carried out on the formalin-fixed paraffin embedded tumour samples. Due to technical errors another 17 patients were excluded. Finally 192 patients, with histopathologically re-evaluated ILC, complete clinical data, and results from ER and Ki67 with immunohistochemical analyses available, were included in the study. (Consort diagram, Figure 1). Patient and tumour characteristics (Table 1) were retrieved from clinical records and pathology reports, as were follow-up data (Table 2) until November 2009. The median age was 62 years and 26% were premenopausal at the time of ILC diagnosis. Breast-conserving surgery (BCS) was performed in 40 patients (21%) and the rest had mastectomy. Axillary lymph node dissection (ALND) was performed in 181 patients (94%). The main reason for not undergoing ALND was a clinical node negative (cN-) status in patients with co-morbidity and high age at diagnosis. All patients included underwent surgery before the introduction of the sentinel node biopsy (SNB) technique. Adjuvant treatments were given in accordance with established Swedish guidelines at the time of ILC diagnosis: 93 patients (48%) recieved radiotherapy, 78 (41%) endocrine therapy and 5 (3%) chemotherapy. The histological grade was re-evaluated according to Elston and Ellis (1991) by one of the authors (DG) (Table 3).
Figure 1.
Consort diagram.
Table 1.
Patient and tumour characteristics ( n =192)
| Variables | No (%) |
|---|---|
| Age (years) | |
| Median (range) | 62 (36–87) |
| Menopausal status | |
| Premenopausal | 48 (26) |
| Postmenopausal | 138 (74) |
| Unknown | 6 |
| Type of surgery | |
| BCSa (no ALNDb) | 4 (2) |
| BCS + ALND | 36 (19) |
| Mastectomy (no ALND) | 7 (4) |
| Mastectomy + ALND | 145 (76) |
| Tumour size (mm) | |
| pT1 (≤20) | 108 (57) |
| pT2 (>20 and ≤50) | 69 (37) |
| pT3 (>50) | 12 (6) |
| Undefined | 3 |
| Nodal status c | |
| pN- (ALND) | 106 (59) |
| cN- (no ALND) | 11 |
| pN+ | 75 (41) |
| pN1 (1-3+) | 36 (20) |
| pN2 (4-9+) | 28 (16) |
| pN3 (>9+) | 11 (6) |
| Pathological stage d | |
| I | 78 (42) |
| II | 68 (36) |
| III | 42 (22) |
| IV | 0 (0) |
| Undefined (but not stage IV) | 4 |
| Adjuvant therapy e | |
| RT (total) | 93 (48) |
| CT (total) | 5 (3) |
| ET (total) | 78 (41) |
| RT (monotherapy) | 39 (20) |
| CT (monotherapy) | 3 (12) |
| ET (monotherapy) | 27 (14) |
| RT+CT | 3 (2) |
| RT+ET | 51 (27) |
| CT+ET | 0 (0) |
| RT+CT+ET | 0 (0) |
aBCS: Breast conserving surgery.
bALND: Axillary lymph node dissection.
cc = clinical, p = pathological, N- = node negative, N+ = node positive.
dPathological stage: I = pT1-2N0M0, II = T2-3N0, M0 T1-2N1M0,
III = pT3N1M0, pT1-3N2M0, T4N0-2M0, T1-4N3M0,
IV = T1-4N0-3M1.
eAdjuvant therapy: RT = radiotherapy, CT = chemotherapy, ET = endocrine therapy.
Table 2.
Recurrences and mortality
| Variables | No (%) |
|---|---|
| New primary breast cancer | |
| Contralateral | 15 (8) |
| Ipsilateral | 0 (0) |
| First recurrence | |
| Local | 16 (8) |
| Regional | 6 (3) |
| Distant | 54 (28) |
| Total recurrence | 76 (40) |
| Local | 21 (11) |
| Regional | 12 (6) |
| Distant | 67 (35) |
| No recurrence | 116 (61 |
| Cause of death | |
| Breast cancer | 60 (31) |
| Other causes | 72 (38) |
| Alive | 60 (31) |
Table 3.
Immunohistochemical analyses and histological grade
| Variables | No (%) |
|---|---|
| ER | |
| Positive | 169 (88) |
| Negative | 23 (12) |
| PgR | |
| Positive | 97 (51) |
| Negative | 95 (50) |
| ER/PgR | |
| ER and/or PgR positive | 177 (92) |
| ER and PgR negative | 15 (8) |
| HER2 | |
| 0 | 153 (80) |
| 1+ | 28 (15) |
| 2+ | 7 (4) |
| 3+ | 4 (2) |
| Ki67 | |
| Low (0-10%) | 115 (60) |
| Intermediate (11-30%) | 62 (32) |
| High (>30%) | 15 (8) |
| Histological grade | |
| 1 | 28 (16) |
| 2 | 133 (76) |
| 3 | 14 (8) |
| Unknown | 17 |
| Tubule formation | |
| 1 | 0 (0) |
| 2 | 13 (7) |
| 3 | 162 (93) |
| Pleomorphism | |
| 1 | 20 (11) |
| 2 | 112 (64) |
| 3 | 43 (25) |
| Mitotic score | |
| 1 | 155 (89) |
| 2 | 10 (6) |
| 3 | 10 (6) |
Immunohistochemical assay of ER, PgR, HER2 and Ki67
For all tumours, serial sections (4 μm) were cut from formalin-fixed, paraffin-embedded blocks of ILC. The blocks were sectioned and the slides were stained at one department. The sections were dried at 60°C for 1 h. After dewaxing and rehydration, the sections were treated with 10 mM citrate buffer (pH 6.0, 15 min) in a microwave oven (Shi et al. 1991). The slides were stained in an automatic immunostainer TechMate 500 (Dako) with Dako ChemMate Detection Kit peroxidase/DAB. The evaluation of the staining was performed by a pathologist (II). ER (1D5, Dako, 1:100) and PgR (Polyclonal, Dako, 1:50) positivity was defined as more than 10% stained nuclei. Ki67 (Mib-1, Immunotech, 1:100) was categorized into three groups depending on the percentage of stained nuclei: low (0-10%), intermediate (11-30%) and high (>30%). HER2 (CB11, Novocastra, 1:200) was categorized into four different immunohistochemical (IHC) groups depending on the cell membrane staining intensity: 0, 1+, 2+, 3+. A value of IHC 3+ was considered as HER2 positive (Barnes et al. 1988). A HER2 gene amplification test was not performed. All cut-offs were decided according to a predefined protocol before linking expression to survival data.
KiGE
By combining Ki67, histological grade and ER, into a prognostic index (KiGE) (Strand et al. 2013), the tumours could be categorized into a KiGE low-risk (low-KiGE) and a KiGE high-risk group (high-KiGE). KiGE is based primarily on histological grade; Tumours with grade 1 are defined as low-KiGE and grade 3 as high-KiGE. The intermediate group, tumours with grade 2, is divided according to ER and Ki67 status. The ER positive (ER+) grade 2 tumours with Ki67 ≤30% are defined as low-KiGE whereas all other grade 2 tumours are defined as high-KiGE (Figure 2).
Figure 2.
KiGE.
Statistical analysis
Dependencies between Ki67, histological grade and other prognostic factors were assessed using Pearson correlation (r). In these analyses, the ordinal variables Ki67 and histological grade were linearly coded 1/2/3 whereas the continuous values were used for age and tumour size. All the other variables were dichotomized. The primary study endpoint was cumulative breast cancer mortality (BCM). For each patient, the follow-up time was counted from the date of surgery until death with or without breast cancer or, for the survivors, until November 2009. The log-rank test was used to compare breast cancer mortality in different strata, the trend alternative for variables with three ordered categories, and the Cox proportional hazards model for estimation of hazard ratios. Proportional hazard assumptions were checked graphically. All tests were two-sided and p-values <0.05 were considered significant. In the survival analyses, histological grade, Ki67, and the number of positive lymph nodes were analyzed as factor variables on three levels (2 degrees of freedom) with the category with the highest prevalence as reference, age as a continuous variable, and all other factors as dichotomous covariates. The statistical analysis software Stata 12.1, 2013 (StataCorp, College Station, TX, USA) was used for statistical calculations.
Whenever applicable, the REMARK recommendations for reporting of tumor marker studies were followed (McShane et al. 2006).
Results
Clinicopathological characteristics and outcome
The majority (57%) of the 192 patients had small (≤20 mm) tumours and axillary lymph node status (nodal status) was pathological node negative (pN-) in 106 (59%) (Table 1). Histological grade was 1 in 16%, 2 in 76% and 3 in 8%. One hundred and sixy nine patients (88%) were ER positive. The expression of Ki67 in the tumour was low in 115 patients (60%), intermediate in 62 (32%) and high in 15 (8%). Four patients (2%) were HER2-positive (Table 3). A total of 76 patients (40%) had a recurrence, and the distribution of site of first recurrence was: Local in 16 patients, regional in 6 and distant in 54. In addition 8% developed a contralateral BC (Table 2). At the end of the study, 60 patients (31%) had died from breast cancer and 72 (38%) from other causes. The remaining 60 patients (31%) were still alive and had a median follow-up of 21 years (range 0.7-30 years) (Table 2).
Correlation between Ki67, histological grade and other prognostic factors
A significant positive correlation (r = 0.26) was seen between Ki67 and histological grade (p < 0.001), but not between Ki67 and other prognostic factors (nodal status, ER, PgR, age and tumour size). Histological grade was also significantly correlated to tumour size (r = 0.25, p = 0.001) but not to the other factors mentioned above.
Breast cancer mortality
Univariable analyses
A log-rank test for trend showed significant differences in BCM between the three predefined Ki67 groups (p = 0.01). Furthermore, a Cox-regression analysis showed, that the BCM was significantly higher in the high Ki67-group compared to the low Ki67-group (hazard ratio (HR) = 2.6, 95% confidence interval (95% CI): 1.2-5.8, p = 0.01), whereas the difference between the intermediate Ki67-group and the low Ki67-group was non-significant (HR = 1.4, 95% CI: 0.84-2.5, p = 0.19) (Figure 3). Significant differences in BCM were also seen between the three different histological grades (p = 0.01). BCM was significantly higher in grade 3 compared to grade 2 (HR = 2.8, 95% CI: 1.2-6.7, p = 0.02) but not in grade 1 compared to grade 2 (HR = 0.54, 95% CI: 0.21-1.4, p = 0.19) (Figure 4).
Figure 3.
Breast cancer mortality by Ki67 ( n =192).
Figure 4.
Breast cancer mortality by histological grade ( n =175).
When the three components of histological grade were analyzed separately by log-rank tests for trend, we found significant differences in BCM between the three different mitotic scores (p < 0.001), borderline significance between the three pleomorphism groups (p = 0.04) and non-significant differences for tubule formation (p = 0.70). In Cox-regression analyses, BCM was significantly higher in patients with larger tumours (>20 mm) compared to those with smaller (≤20 mm) (HR = 2.7, 95% CI: 1.6-4.5, p < 0.001), and also significantly higher in patients with more than 3 lymph node metastases compared to node negative patients (HR = 3.5, 95% CI: 2.0-6.5, p < 0.001), whereas the difference between patients with 1 to 3 lymph node metastases and node negative patients was non-significant (HR = 1.1, 95% CI: 0.55-2.4, p = 0.73). Age was also significantly associated with BCM, whereas ER and PgR, were not (Table 4).
Table 4.
Univariable analysis of breast cancer mortality in invasive lobular carcinoma
| Prognostic factor | n | # events | HR | 95% CI | p-value |
|---|---|---|---|---|---|
| Age (years) | 192 | 60 | 0.97 | 0.95-0.99 | 0.01 |
| Tumour size (mm) | |||||
| ≤20 | 108 | 24 | 1.0 | ||
| >20 | 81 | 36 | 2.7 | 1.6-4.5 | <0.001 |
| Nodal status (p <0.001)a | |||||
| 0 | 107 | 27 | 1.0 | ||
| 1-3+ | 36 | 10 | 1.1 | 0.55-2.4 | 0.73 |
| >3+ | 38 | 21 | 3.5 | 2.0-6.2 | <0.001 |
| Histological grade (p =0.01)a | |||||
| 1 | 28 | 5 | 0.54 | 0.21-1.4 | 0.19 |
| 2 | 133 | 43 | 1.0 | ||
| 3 | 14 | 6 | 2.8 | 1.2-6.7 | 0.02 |
| Tubule formation | |||||
| 2 | 13 | 3 | 1.0 | ||
| 3 | 162 | 51 | 1.3 | 0.39-4.0 | 0.70 |
| Pleomorphism (p =0.04)a | |||||
| 1 | 20 | 5 | 0.88 | 0.34-2.3 | 0.80 |
| 2 | 112 | 31 | 1.0 | ||
| 3 | 43 | 18 | 1.9 | 1.0-3.3 | 0.03 |
| Mitotic score (p <0.001)a | |||||
| 1 | 155 | 45 | 1.0 | ||
| 2 | 10 | 4 | 2.0 | 0.71-5.6 | 0.19 |
| 3 | 10 | 5 | 4.2 | 1.7-11 | 0.003 |
| ER | |||||
| + | 169 | 50 | 1.0 | ||
| - | 23 | 10 | 1.6 | 0.83-3.3 | 0.15 |
| PgR | |||||
| + | 97 | 27 | 1.0 | ||
| - | 95 | 33 | 1.4 | 0.85-2.4 | 0.18 |
| Ki67 (p = 0.01)a | |||||
| 0-10% | 115 | 30 | 1.0 | ||
| 11-30% | 62 | 22 | 1.4 | 0.84-2.5 | 0.19 |
| >30% | 15 | 8 | 2.6 | 1.2-5.8 | 0.01 |
| KiGE | |||||
| Low | 136 | 35 | 1.0 | ||
| High | 39 | 19 | 2.8 | 1.6-5.0 | <0.001 |
aLog-rank test for trend.
Based on our previous studies (Klintman et al. 2010; Strand et al. 2013), we hypothesized that a combination of Ki67, histological grade and ER provided stronger prognostic information than if these factors were used individually. We found also that in ILC, KiGE was a strong prognostic factor for BCM (Cox-regression, HR = 2.8, 95% CI: 1.6-5.0, p < 0.001) (Figure 5).
Figure 5.
Breast cancer mortality by KiGE ( n =175).
Multivariable analyses
In a multivariable model, including adjuvant treatment, age, tumour size, nodal status, histological grade, ER, PgR and Ki67, the only significant prognostic factor for BCM was nodal status (p < 0.001). More specifically, patients with more than 3 lymph node metastases had significantly higher BCM compared to node negative patients (HR = 4.0, 95% CI: 1.8-8.5, p <0.001). Even though histological grade was not significant when evaluated as a factor on three levels (p = 0.08), patients with histological grade 3 tumours had significantly higher BCM compared to patients with grade 2 tumours (HR = 3.2, 95% CI: 1.2-8.7, p = 0.02). All the other factors were non-significant (Table 5).
Table 5.
Multivariable analysis of breast cancer mortality in invasive lobular carcinoma a
| Prognostic factor | n | # events | HR | 95% CI | p-value |
|---|---|---|---|---|---|
| Age (years) | 161 | 52 | 0.98 | 0.96-1.01 | 0.29 |
| Tumour size (mm) | |||||
| ≤20 | 93 | 21 | 1.0 | ||
| >20 | 68 | 31 | 1.8 | 0.91-3.7 | 0.09 |
| Nodal status (p <0.001)b | |||||
| 0 | 100 | 25 | 1.0 | ||
| 1-3+ | 27 | 7 | 0.88 | 0.35-2.2 | 0.78 |
| >3+ | 34 | 20 | 4.0 | 1.8-8.5 | <0.001 |
| Histological grade (p = 0.08)b | |||||
| 1 | 25 | 5 | 1.1 | 0.41-3.0 | 0.83 |
| 2 | 124 | 41 | 1.0 | ||
| 3 | 12 | 6 | 3.2 | 1.2-8.7 | 0.02 |
| ER | |||||
| + | 141 | 42 | 1.0 | ||
| - | 20 | 10 | 1.1 | 0.52-2.4 | 0.77 |
| PgR | |||||
| + | 87 | 25 | 1.0 | ||
| - | 74 | 27 | 1.3 | 0.76-2.4 | 0.31 |
| Ki67 (p = 0.36)b | |||||
| 0-10% | 92 | 25 | 1.0 | ||
| 11-30% | 57 | 21 | 1.3 | 0.72-2.5 | 0.36 |
| >30% | 12 | 6 | 2.0 | 0.73-5.5 | 0.18 |
aAdjusted for adjuvant treatment.
b2-degree-of-freedom test of no factor effect.
KiGE
If KiGE was used instead of Ki67, histological grade and ER, we found that KiGE (HR = 2.0, 95% CI: 1.1-3.6, p = 0.03) and nodal status (p = 0.003, 2-degree of freedom test) were independent long-term prognostic factors for BCM in multivariable analysis. Patients with >3 positive lymph nodes had significantly higher BCM than node negative patients (HR = 2.9, 95% CI: 1.4-6.1, p = 0.003). Tumour size (>20 mm vs. ≤20 mm) was also a prognostic factor, but not significant in this model (HR = 1.9, 95% CI: 0.98-3.8, p = 0.06) (Table 6).
Table 6.
Multivariable analysis of breast cancer mortality in invasive lobular carcinoma (including KiGE) a
| Prognostic factor | n | # events | HR | 95% CI | p-value |
|---|---|---|---|---|---|
| Age (years) | 161 | 52 | 0.99 | 0.96-1.02 | 0.48 |
| Tumour size (mm) | |||||
| ≤20 | 93 | 21 | 1.0 | ||
| >20 | 68 | 31 | 1.9 | 0.98-3.8 | 0.06 |
| Nodal status (p = 0.003)b | |||||
| 0 | 100 | 25 | 1.0 | ||
| 1-3+ | 27 | 7 | 0.87 | 0.35-2.2 | 0.77 |
| >3+ | 34 | 20 | 2.9 | 1.4-6.1 | 0.003 |
| PgR | |||||
| + | 87 | 25 | 1.0 | ||
| - | 74 | 27 | 1.4 | 0.78-2.4 | 0.27 |
| KiGE | |||||
| Low | 125 | 34 | 1.0 | ||
| High | 36 | 18 | 2.0 | 1.1-3.6 | 0.03 |
aAdjusted for adjuvant treatment.
b2-degree-of-freedom test of no factor effect.
Combination index (KiGE-TN)
The three strongest prognostic factors in the last multivariable analysis above were combined into a simplified classifier defined as presence of at least one of the three risk factors: Tumour size >20 mm, ≥1 positive lymph node and high-KiGE. Patients not displaying any of these risk factors had 10 and 20 years BCM of 5% (95% CI: 1-13%) and 12% (95% CI: 5-22%), respectively. This group consisted of 37% of the patients in the present study. The remaining 63% of the patients had 10 and 20 years BCM of 35% (95% CI: 26-44%) and 42% (95% CI: 32-51%), respectively (Figure 6).
Figure 6.
Breast cancer mortality by KiGE-TN ( n =161).
Discussion
This is a retrospective, population-based, long-term follow-up study, including patients with primary ILC, diagnosed and operated on between 1980 and 1991. The baseline patient- and tumour characteristics as well as clinical outcome data were comparable to those of earlier studies on ILC (Arpino et al. 2004; Pestalozzi et al. 2008; Orvieto et al. 2008; Rakha et al. 2008b). Surgery, radiotherapy and adjuvant systemic treatment at the time differ substantially from today’s guidelines. As a consequence mastectomy and ALND rates in this cohort are high (79% and 94% respectively) and only 44% of the ER and/or PgR positive patients received endocrine therapy (none of them received aromatase inhibitors), and despite the fact that 41% were node positive only 3% received chemotherapy. According to current treatment trends in breast cancer, the patients in our cohort had “local over-treatment” and a “systemic under-treatment”. Possible consequences are a higher degree of surgery related sequelae and higher frequency of both early and late distant recurrences. Concurrently, we saw a low frequency of local recurrences (11%) and the fact that so few of the patients received endocrine and/or chemotherapy gives us an exclusive opportunity to study untreated ILC, close to the natural history of ILC, in a way not possible today. Distant recurrences, resulting in BC death, are common in this cohort. Many of the recurrences occur during 10–20 years of FU and some of them over 20 years past diagnosis, which is also seen in other studies (Pestalozzi et al. 2008; Rakha et al. 2008b), mirroring the chronic history of the disease and that early detection is not directly linked to good long-term prognosis for the individual patient.
The main purpose of this study was to evaluate the long-term impact of different prognostic factors in ILC, with a primary focus on Ki67 and histological grade alone, and in combination with, ER. Ki67 was a significant prognostic factor in univariable analysis but did not reach significance after adjustment for adjuvant treatment and other known prognostic factors. In an earlier ILC-study with a shorter follow-up time (7 years), no significant prognostic effect of Ki67 on overall survival could be detected (Orvieto et al. 2008) and to our knowledge there is, to date, no other comparable study, investigating the long-term prognostic effect of Ki67 in ILC. Studies conducted on Ki67 in mixed BC materials have shown an independent prognostic significance (Urruticoechea et al. 2005; de Azambuja et al. 2007). The combination of Ki67, histological grade and ER into KiGE however, gives useful independent long-term prognostic information in ILC. High-KiGE ILC’s (20%) had a 10 and 20 years BCM of 40% and 48%, respectively and the remaining low-KiGE ILC’s (80%) had a 10 and 20 years BCM of 19% and 25%, respectively. Patients with high-KiGE ILC’s in this cohort represent an under-treated group, with poor prognostic tumours, and today the majority would have been recommended adjuvant chemotherapy to improve outcome. Patients with low-KiGE ILC’s, on the other hand, represent the greater part of this cohort, containg tumours with a more diversified prognosis, causing difficulties in adjuvant treatment decision-making. Based on information from our multivariable analyses, which showed that both KiGE, tumour size and nodal status were strong prognostic factors, we divided the low-KiGE ILC’s further, resulting in an extremely low-risk group (low-KiGE, T1, N0) consisting of 37% of the patients with a long-term prognosis of BCM 5% at 10 years and 12% at 20 years follow-up. None of these patients recieved chemotherapy and only 2 recieved endocrine treatment with tamoxifen. These findings suggest that this group could be spared from both adjuvant chemo- and endocrine therapy, even though there might be a possibility to improve the long-term outcome even further by giving endocrine therapy in accordance with modern guidelines. Nodal status was the strongest independent prognostic factor in this material, which is in concert with previous observations in ILC materials (Arpino et al. 2004; Wasif et al. 2010). Surprisingly, there was no significant difference in outcome between node negative patients and those with 1–3 lymph node metastasis, and a plausible explanation is that the node negative group in this cohort, harbours a portion of false negative patients due to the more inexact pathology examination methods used at the time of diagnosis, compared to today’s. ER status was of limited prognostic value, probably mainly because so few of the patients were ER negative (12%). Histological grading in BC is built around three components: Tubule formation, pleomorphism and mitotic rate. Normally tubule formation is absent in most ILC’s, which means there are only two parameters left to rely on when dividing ILC’s into different grades, and pathologists have historically been reluctant to grade ILC. In spite of this, and also the fact that the majority of the ILC’s in this study were classified as grade 2 (76%), histological grade was an independent long-term prognostic factor. The histological grade component with greatest significance was mitotic score, bearing much of the prognostic information which was also consistent over time. Pleomorphism seems to bear significant prognostic information particularly in short-term, but the effect weakens considerably over time. As proposed tubule formations were absent in most of the tumours (93%) and this component added limited prognostic information. These results are consistent with those found in a previous long-term follow-up study focusing on histological grade and its components in ILC (Rakha et al. 2008b). A finding from our long-term data worth noting is, that the ILC’s in the extremely low-risk group (low-KiGE, pT0, pN0) have a slightly higher BCM year 10–20 (7%), compared to the first 10 years (5%) of follow-up indicating that, even in this group of patients with a very good overall prognosis, improvements in the adjuvant management is still needed in order to prevent late distant recurrences and breast cancer death.
The ATLAS-study, comparing 10 vs. 5 years of adjuvant tamoxifen in a mixed BC material, shows an advantage for longer duration of treatment in reducing late recurrences with a long-term benefit mainly after 10 years (Davies et al. 2012). Furthermore, recent data from BIG 1–98 study, presented at the San Antonio Breast Cancer Symposium 2012, comparing tamoxifen vs. letrozole as adjuvant therapy in primary ILC, show a significant benefit from letrozol treatment regardless of proliferation status, but with an even greater effect in high-proliferative ILC, suggesing letrozole as a potential up-front adjuvant treatment in all ILC’s. Prolonged endocrine therapy and up-front treatment with aromatase inhibitors, in order to prevent late recurrences and improve long-term outcome in ILC, is an interesting issue and still an open question. Ki67 cut-offs in this study were chosen based on the knowledge from repetitive studies focusing on the reproductibility of Ki67 analysis and scoring, showing that there is still a disconcordance between different laboratories, particularly in the intermediate interval (11-30%) (Dowsett et al. 2011; Gudlaugsson et al. 2012). ILC’s with Ki67 >30% were classified as high-proliferative. With these cut-off values we hoped to identify the “true” high-proliferative tumours even though important prognostic information from the intermediate group (Ki67 11-30%) might have been lost. Taking a closer look at this retrospective ILC-material, the division of the tumours into low- and high-KiGE is, to some extent, similar to the more modern division of BC’s into luminal subtypes according to the 2013 St Gallen guidelines, since many of the ILC would be included in the luminal A and luminal B groups (Goldhirsch et al. 2013).
In conclusion our results show that the well-established prognostic factors in BC, including Ki67, are still valid for ILC’s, and the combination of Ki67, histological grade and ER into KiGE, together with tumour size and nodal status makes it possible to identify a large group of ILC patients (37%) with a long-term natural history associated with such a good prognosis, that chemotherapy can be safely avoided and exclusion of endocrine therapy considered.
Ethical standards
The study was approved by the ethics committee at Lund University (LU 240–01).
Acknowledgements
We thank Kristina Lövgren for her technical skill in preparing the tumour tissue blocks and slides, and Ingrid Idvall (II) and Poul Boisen (PB) for the pathological re-evaluation of histological slides.
Funding
This work was supported by funding from Växjö Central Hospital, the Swedish Cancer Society, the Swedish Research Council, the Gunnar Nilsson Cancer Foundation, the Mrs. Berta Kamprad Foundation, the Anna and Edwin Bergers foundation, the Skåne University Hospital Research Foundation, the Skåne County Council’s Research and Development Foundation, and Governmental Funding of Clinical Research within the National Health Service.
Footnotes
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
UB carried out the collection of follow-up data, design of the study and drafted the manuscript. P-OB was involved in the study design and interpretation of data, performed the statistical analyses and helped to draft the manuscript. DG performed the histological grading and helped to draft the manuscript. LR was involved in study design, interpretation of data, and manuscript writing. CI conceived the study, and participated in its design and coordination, helped to interpret data, and drafted the manuscript. MF conceived the study, participated in its design and coordination, helped to interpret data, and drafted the manuscript. All authors read and approved the final manuscript.
Contributor Information
Ulrik Narbe, Email: ulrik.narbe@med.lu.se.
Pär-Ola Bendahl, Email: par-ola.bendahl@med.lu.se.
Dorthe Grabau, Email: dorthe.grabau@med.lu.se.
Lisa Rydén, Email: lisa.ryden@med.lu.se.
Christian Ingvar, Email: christian.ingvar@med.lu.se.
Mårten Fernö, Email: marten.ferno@med.lu.se.
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