Skip to main content
Erschienen in: BMC Cancer 1/2011

Open Access 01.12.2011 | Research article

Prediction of outcome after diagnosis of metachronous contralateral breast cancer

verfasst von: Sara Alkner, Pär-Ola Bendahl, Mårten Fernö, Jonas Manjer, Lisa Rydén

Erschienen in: BMC Cancer | Ausgabe 1/2011

Abstract

Background

Although 2-20% of breast cancer patients develop a contralateral breast cancer (CBC), prognosis after CBC is still debated. Using a unique patient cohort, we have investigated whether time interval to second breast cancer (BC2) and mode of detection are associated to prognosis.

Methods

Information on patient-, tumour-, treatment-characteristics, and outcome was abstracted from patients' individual charts for all patients diagnosed with metachronous CBC in the Southern Healthcare Region of Sweden from 1977-2007. Distant disease-free survival (DDFS) and risk of distant metastases were primary endpoints.

Results

The cohort included 723 patients with metachronous contralateral breast cancer as primary breast cancer event. Patients with less than three years to BC2 had a significantly impaired DDFS (p = 0.01), and in sub-group analysis, this effect was seen primarily in patients aged <50. By logistic regression analysis, patients diagnosed with BC2 within routine follow-up examinations had a significantly lower risk of developing metastases compared to those who were symptomatic at diagnosis (p < 0.0001). Chemotherapy given after breast BC1 was a negative prognostic factor for DDFS, whereas endocrine treatment and radiotherapy given after BC2 improved DDFS.

Conclusions

In a large cohort of patients with CBC, we found the time interval to BC2 to be a strong prognostic factor for DDFS in young women and mode of detection to be related to risk of distant metastases. Future studies of tumour biology of BC2 in relation to prognostic factors found in the present study can hopefully provide biological explanations to these findings.
Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1471-2407-11-114) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SA abstracted data from the individual charts, participated in database construction, performed statistical analysis and drafted the manuscript, POB was responsible for database construction and statistical analysis and participated in the manuscript draft, JM participated in the statistical analysis, interpretation of the data and manuscript draft. MF participated in the design of the study, interpretation of the data and manuscript draft. LR participated in the design of the study, was responsible for data abstraction, interpretation of the data and manuscript draft. All authors read and approved the final manuscript.
Abkürzungen
BC1
First breast cancer
BC2
Second breast cancer
CBC
Contralateral breast cancer
CI
Confidence interval
DDFS
Distant disease-free survival
HR
Hazard ratio
IQR
interquartile range.

Background

Within their lifetime, 2-20% of breast cancer patients develop a new tumour in their contralateral breast [13]. These contralateral breast cancers (CBC) are called synchronous if the second tumour (BC2) develops within a short time interval from the first tumour (BC1), and metachronous if the time interval between tumours is longer. In line with several previous studies, we define metachronous tumours as CBC diagnosed at least three months after BC1 [35]. However, a clear cut-off time is not defined in the literature. CBC is today treated as a new primary tumour (two individual tumours), but the biological relationship between BC1 and BC2, and the impact of a second primary tumour on prognosis is debated [4, 618]. Previous studies indicate that prognosis after CBC could be associated with age, time interval between BC1 and BC2, mode of detection of BC2, and adjuvant treatment for BC1 [4, 1517, 19]. However, despite women with a history of breast cancer have a high lifetime risk of developing CBC, the annual risk remains at a relative low level of 0.5-1%. A long follow-up time is hence needed in order to obtain a large cohort of patients with CBC.
For this study data was abstracted from individual charts for all patients diagnosed with metachronous CBC in the Southern Healthcare Region of Sweden (a region with 1.7 million inhabitants) from 1977 to 2007. This gave us a unique cohort, including more than 700 patients from multiple medical centres, providing information on patient and tumour characteristics, treatment, and outcome. The aims of this study were to examine prognosis after CBC in relation to time interval between BC1 and BC2, mode of detection of BC2, and treatment for BC1.

Methods

Study Cohort

Inclusion criteria were patients within the Southern Swedish Healthcare Region with two breast cancers reported in the Swedish Cancer Register, with the second tumour diagnosed between 1977 and 2007. The Swedish Cancer Register is a nationwide database including the International Classification of Diseases code and date of diagnosis. The study cohort includes patients from 14 hospitals (Lund, Malmö, Helsingborg, Ängelholm, Landskrona, Ystad, Trelleborg, Hässleholm, Kristianstad, Växjö, Ljungby, Halmstad, Karlshamn, and Karlskrona) within the Southern Healthcare Region of Sweden. All hospitals were active members of the South Sweden Breast Cancer Group, established in 1977, and used the common guidelines for diagnosis, treatment, and follow-up. The follow-up program included annual physical examination and mammogram. From 1977 to 1995 the recommended follow-up period was ten years, which was down-scaled to five years from 1995 to 2002, and three years from 2002 onwards. The regular surveillance program was additionally followed by admittance to the screening program for mammographic examinations every 24 months.
The cohort retrieved from the register initially included 1970 patients. The flow-chart of the study is given in Figure 1. After exclusion according to predefined exclusion criteria, our cohort included 723 patients with metachronous contralateral breast cancer as primary event. For patients with multiple exclusion criteria, the first criterion mentioned in the chart is listed in Figure 1.

Data abstraction of clinical information

From September 2007 to November 2009, data was abstracted from individual charts (clinical notes, pathology-, and X-ray-records) in a systematised manner, using a predefined protocol. The protocol was designed at the Department of Medical Epidemiology and Biostatistics, KI Stockholm, for collecting data from patients with CBC. Individual charts at the Departments of surgery as well as the Departments of oncology (Lund and Malmö) were retrieved, in order to optimise data abstraction and minimise patients lost to follow-up. The protocol used included data on mode of detection as well as surgical and oncological treatment for BC1 and BC2. Patients diagnosed within a follow-up programme were considered asymptomatic at time of diagnosis, whereas patients who first noted symptoms themselves and thereafter contacted their physicians were considered symptomatic. Patients were considered to have received endocrine treatment only if they had continued treatment for at least three months. Due to the long follow-up period of the study cohort, oestrogen receptor status for both tumours were available for less than half of the patients, and histological grade for less than one third. Additionally, scoring methods to determine histological grade differed during the study follow-up period and between various pathology departments. Neither oestrogen receptor status, nor histological grade, was hence used for further statistical analysis in the present study.
Previous studies use different time intervals to BC2 to separate early from late metachronous CBC. A time interval of three years has been used for a multitude of previous studies [13, 15, 16], and this interval was hence selected for all analysis presented in this report. Unless otherwise stated, age refers to the age at diagnosis of BC1, in line with earlier studies [4, 14, 16, 20]. To examine the effect of calendar period at diagnosis of CBC on prognosis, we divided the material into three calendar periods, 1977 to 1986, 1987 to 1996, and 1997 to 2007.

Ethical Considerations

This project has been approved by the ethical committee of Lund University (LU 240-01). All information and data was handled confidentially, and evaluation of information linked to patients was carried out in accordance with the Swedish Personal Data Act (Personuppgiftslagen in Swedish).

End-points and follow-up

Distant disease-free survival (DDFS) was chosen as primary end-point of the study. DDFS includes development of distant metastases (visceral, skeletal, brain, or cutaneous metastases) as a primary event. Loco-regional recurrences were not regarded as events in analysis of DDFS, and event-free survival was measured from diagnosis of CBC. Survival from BC1 was not considered since that would automatically prolong the follow-up until event for patients with a longer time interval between tumours, and hence bias the results. If no prior event was recorded, DDFS was calculated to the last follow-up date in the patient's individual chart. For patients who developed a malignancy other than breast cancer after diagnosis of CBC, the diagnosis date of this malignancy was considered to be the last follow-up date.

Statistical Analysis

For statistical calculations, the software package Stata 10.1 (StataCorp. 2008. College Station, TX, USA) was used. Kaplan-Meier plots were used to describe DDFS and the log-rank test was used to evaluate hypotheses of equal survival. Kaplan-Meier curves were curtailed when less than five individuals remained at risk. Cox regression was used to estimate hazard ratios (HR), and assumptions of proportional hazards were checked graphically. Retrospective studies of prognosis in relation to mode of detection could be affected by lead-time bias (earlier detection leads to a longer follow-up until event, even if disease progression is the same). To avoid this we looked at the risk of distant metastasis as a primary event instead of DDFS in relation to mode of detection. Logistic regression was therefore used to compare risk of metastasis in different sub-groups. Multivariate analyses presented do not include patients with missing values for any of the variables included. However, the analyses were repeated for all patients by treating the missing category for discrete variables as a separate category and by imputing the sample mean over all patients for continuous variables. To assess whether the effect of time interval to BC2 or mode of detection differed with age, a Cox model was used with a term for interaction between each of these factors and age. Age was categorised as over or equal to vs. under age 50 at diagnosis of BC1. All p-values correspond to two-sided tests and values less than 0.05 were considered significant.

Results

Clinical information

Patient, tumour and treatment characteristics are described in Table 1. The median duration of follow-up after BC2 was 5.6 years (IQR 2.0-9.1) for all patients without an event. Median duration of follow-up for patients with a time interval to BC2 less than three years was 7.0 years, and for those with a time interval to BC2 of three years or more, 5.4 years. The median time to development of metastasis after BC2 was 2.2 years.
Table 1
Patient, tumour, and treatment characteristics in relation to development of metastasis after BC2
 
First breast cancer, No (%)
Second breast cancer, No (%)
 
Metastasis
No metastasis
Metastasis
No metastasis
No = 723
No = 210
No = 513
No = 210
No = 513
Diagnosis
    
<1977
37 (18)
97 (19)
0
0
1977-1986
66 (31)
161 (31)
53 (25)
95 (19)
1987-1996
79 (38)
191 (37)
78 (37)
179 (35)
1997-2007
28 (13)
64 (12)
79 (38)
239 (47)
Age (years)
    
Median (range)
52 (27-85)
60 (30-90)
60 (32-92)
70 (32-98)
<50
94 (45)
123 (24)
50 (24)
34 (7)
≥50
116 (55)
390 (76)
160 (76)
479 (93)
Menopausal status
    
Premenopausal
100 (51)
132 (28)
29 (16)
32 (7)
Postmenopausal
96 (49)
336 (72)
148 (84)
440 (93)
Missing
14
45
33
41
Node status
    
N0
105 (53)
330 (72)
97 (50)
292 (73)
N+
92 (47)
130 (28)
96 (50)
106 (27)
Missing
13
53
17
115
Size (mm)
    
Median (range)
20 (1-90)
15 (1-100)
18 (1-110)
14 (1-90)
Missing
28
50
17
20
Surgery
    
Modified radical mastectomy
162 (78)
362 (71)
158 (75)
340 (66)
Partial mastectomy
44 (21)
149 (29)
45 (21)
161 (31)
No Surgery
1 (0.5)
0
6 (3)
12 (2)
Missing
3
2
1
0
Radiotherapy
    
No
56 (27)
213 (42)
122 (58)
360 (70)
Yes
153 (73)
293 (58)
87 (42)
152 (30)
Missing
1
7
1
1
Chemotherapy
    
No
172 (82)
473 (94)
178 (85)
491 (96)
Yes
37 (18)
32 (6)
31 (15)
21 (4)
Missing
1
8
1
1
Endocrine treatment No
158 (76)
391 (77)
132 (64)
296 (58)
Yes
51 (24)
114 (23)
74 (36)
215 (42)
Missing
1
8
4
2
Abbreviations: No number, N+ lymph node metastases, N0 no lymph node metastases, node status lymph node status.
For patients operated for BC1, 524 patients (73%) received surgery with a modified radical mastectomy and 193 (27%) breast conserving surgery. The corresponding numbers for BC2 were 498 (71%) with modified radical mastectomy and 206 (29%) breast conserving surgery. Endocrine treatment included tamoxifen, aromatase inhibitors, and/or ooforectomy. For over 80% of patients the endocrine treatment given was tamoxifen.
Mode of detection of BC2 was known for 692 patients. Of these, 250 patients first noted the symptoms themselves, 97 patients were diagnosed by clinical examination, 257 patients by clinical mammography during follow-up, and 70 patients by screening mammography after re-admittance to the screening programme. Eighteen patients were diagnosed by other means (such as prophylactic mastectomy, or examination for other symptoms). These patients, along with 31 patients with missing data, were excluded from further analysis in regard to mode of detection. Patients who first noted symptoms themselves were considered symptomatic, while those diagnosed with clinical examination or mammography were considered asymptomatic at diagnosis.

Time interval between first and second breast cancer in relation to prognosis

The time interval between BC1 and BC2 was 0.30-36 years, with a median of 6.7 years. A time interval of less than five years was most common (42%) between diagnosis of BC1 and BC2, with a decline in the percentage of patients diagnosed with BC2 the longer the time interval to BC2 (5-9 years 24%, 10-14 years 16%, 15-19 years 9%, 20-24 years 5%, 25-29 years 2%, 30-34 years 1%, and ≥35 years 0%). Patient and tumour characteristics in relation to time interval to BC2 are described in Table 2.
Table 2
Patient, tumour, and treatment characteristics in relation to time interval to and mode of detection of the second breast cancer
 
Time interval to second breast cancer
Mode of detection of second breast cancer a
 
First breast cancer, No (%)
Second breast cancer, No (%)
First breast cancer, No (%)
Second breast cancer, No (%)
 
<3 years
≥3 years
<3 years
≥3 years
Symptomatic
Asymptomatic
Symptomatic
Asymptomatic
 
No = 200
No = 523
No = 200
No = 523
No = 250
No = 424
No = 250
No = 424
Diagnosis of BC2
        
<1977
1 (1)
133 (25)
0
0
70 (28)
55 (13)
0
0
1977-1986
59 (30)
168 (32)
48 (24)
100 (19)
77 (31)
132 (31)
57 (23)
79 (19)
1987-1996
84 (42)
186 (36)
80(40)
177 (34)
84 (34)
174 (41)
89 (36)
150 (35)
1997-2007
56 (28)
36 (7)
72 (36)
246 (47)
19 (8)
63 (15)
104 (42)
195 (46)
Age
        
Median (range)
59 (39-89)
57 (27-90)
60 (32-91)
69 (36-98)
54 (27-89)
59 (30-87)
66 (35-97)
68 (32-93)
<50 years
55 (28)
162 (31)
48 (24)
36 (7)
96 (38)
110 (26)
45 (18)
34 (8)
≥50 years
145 (73)
361 (69)
152 (76)
487 (93)
154 (62)
314 (74)
205 (82)
390 (92)
Node status
        
N0
111 (60)
324 (69)
108 (65)
281 (66)
161 (72)
253 (65)
117 (56)
251 (71)
N+
75 (40)
147 (31)
59 (35)
143 (34)
62 (28)
138 (35)
91 (44)
104 (29)
Missing
14
52
33
99
27
33
42
69
Size (mm)
        
Median (range)
17 (1-100)
17 (1-70)
14 (1-110)
15 (1-85)
18 (1-90)
17 (1-100)
19 (1-110)
13 (1-90)
Missing
6
72
10
27
38
32
12
19
Radiotherapy
        
No
89 (45)
180 (35)
121 (61)
361 (69)
96 (39)
153 (36)
158 (63)
283 (67)
Yes
111 (56)
335 (65)
79 (40)
160 (31)
152 (61)
268 (64)
91 (37)
141 (33)
Missing
0
8
0
2
2
3
1
0
Chemotherapy
        
No
167 (84)
478 (93)
177 (89)
492 (94)
227 (92)
376 (89)
220 (88)
402 (95)
Yes
33 (17)
36 (7)
23 (12)
29 (6)
20 (8)
45 (11)
29 (12)
22 (5)
Missing
0
9
0
2
3
3
1
0
Endocrine treatment
        
No
148 (74)
401 (78)
124 (63)
304 (59)
202 (82)
313 (74)
146 (59)
249 (59)
Yes
52 (26)
113 (22)
74 (37)
215 (41)
45 (18)
108 (26)
102 (41)
172 (41)
Missing
0
9
2
4
3
3
2
3
Mode of detection of BC2
        
Symptomatic
  
57 (31)
193 (40)
    
Asymptomatic
  
129 (69)
295 (60)
    
Missing
  
14
35
    
Time interval to BC2
        
Median (range)
      
9.1 (0.37-36)
5.8 (0.30-34)
<3 years
      
57 (23)
129 (30)
≥3 years
      
193 (77)
295 (70)
a 49 patients were excluded from analyses regarding mode of detection due to missing data or diagnosis by other means than mammography, clinical examination or symptoms noted by the patient.
Abbreviations: N+ lymph node metastases, N0 no lymph node metastases, No number, node status lymph node status.
When exploring the time interval to BC2 as a continuous variable, we found a significantly improved DDFS per year the longer the time interval to BC2 (HR = 0.97, p = 0.002, 95% CI 0.94-0.99). This result remained statistically significant in multivariate analysis adjusted for age, calendar period, mode of detection of BC2, tumour size, lymph node status, and treatment for BC1 and BC2 (HR = 0.94, p < 0.001, 95% CI 0.91-0.97). When dividing the time interval ≥3 years to BC2 into two separate categories, 3-9 years and ≥10 years, we found that DDFS seems to improve continuously with increasing time interval to BC2. Compared to patients with a time interval to BC2 of ≥10 years (the selected reference group), patients with a time interval of 3-10 years had a HR of 1.3 (p = 0.1, 95% CI 0.95-1.9), whereas patients with a time interval of less than three years had a HR of 1.7 (p = 0.003, 95% CI 1.2-2.4).
Patients with a time interval to BC2 of less than three years had a significantly impaired DDFS compared to patients with a time interval of more than three years (Figure 2, Table 3). Statistical significance remained in multivariate analysis adjusted for age, calendar period, mode of detection of BC2, tumour size, lymph node status, and treatment for BC1 and BC2 (Table 3).
Table 3
Cox-regression analysis for distant metastasis in relation to time interval to the second breast cancer
Age at BC1
Time interval to
Cases
Metastasis
Metastasis/100.000
HR
HR*
HR**
 
BC2
No
No (%)
person-years
(95% CI)
(95% CI)
(95% CI)
All
<3 years
200
74 (37)
5800
1.4 (1.1-1.9)
1.6 (1.1-2.2)
1.6 (1.1-2.3)
No = 723
≥3 years
523
136 (26)
4100
1.0
1.0
1.0
     
p = 0.01
p = 0.009
p = 0.01
< 50 years
<3 years
55
34 (62)
11000
2.2 (1.4-3.4)
2.0 (1.2-3.4)
2.2 (1.2-3.8)
No = 217
≥3 years
162
60 (37)
4900
1.0
1.0
1.0
     
p < 0.0001
p = 0.01
p = 0.006
50 years
<3 years
145
40 (28)
4100
1.2 (0.78-1.7)
1.5 (0.92-2.3)
1.3 (0.77-2.2)
No = 506
≥3 years
361
76 (21)
3700
1.0
1.0
1.0
     
p = 0.5
p = 0.1
p = 0.3
* Adjusted for calendar period (1977-1986, 1987-1996, 1997-2007), age (under vs. over 50 years at diagnosis of BC1), mode of detection of BC2 (symptomatic vs. asymptomatic), size (mm) of BC1 and BC2, and node status (N0 vs. N+) for BC1 and BC2. Multivariate analyses in subgroups divided by age are not adjusted for age again. No = 471, 158 patients <50 years and 313 ≥50 years.
** Adjusted for factors listed under * and in addition: treatment for BC1 and BC2 (radiotherapy, chemotherapy, endocrine treatment, yes vs. no for each of the variables). Multivariate analyses in subgroups divided by age are not adjusted for age again. No = 468, 157 patients <50 years and 311 ≥50 years.
Abbreviations: BC1 first breast cancer, BC2 second breast cancer , CI confidence interval, HR hazard ratio, N+ lymph node metastases, N0 no lymph node metastases, No number, node status lymph node status.
Subgroup analysis showed that women younger than 50 years when diagnosed with BC1 had a significantly worse DDFS if the time interval to BC2 was less than three years (Figure 3, Table 3). This result remained statistically significant in multivariate analysis (Table 3). However, for women of 50 years or older, no significant difference was seen in regard to time interval to BC2 - neither in univariate- nor multivariate analysis (Figure 3, Table 3). When using a Cox model with main effects for age and time interval to BC2, and a term for the interaction between these variables, the interaction was statistically significant (HR = 0.53, p = 0.03, 95% CI 0.30-0.94). However, when the data was adjusted for calendar period, mode of detection of BC2, tumour size, lymph node status, and treatment for BC1 and BC2, no statistical significance remained. Multivariate analyses were repeated to include patients with missing values, indicating similar results as above.
Menopausal status at diagnosis of both BC1 and BC2 was known for 611 patients (85%). Repeating analyses according to menopausal status, results for premenopausal patients and patients who switched menopausal status between tumours were similar to those observed for patients <50 years at BC1, while results for postmenopausal patients were similar to those observed for patients ≥50 years (data not shown). Out of the 198 patients who were <50 years old at BC1, only 9 (5%) were postmenopausal, whereas for the 466 patients ≥50 years of age at BC1, only 43 (9%) were premenopausal. An age-limit of 50 years hence seems to effectively separate pre- and postmenopausal women.

Mode of detection in relation to prognosis

For 424 (63%) of the patients, CBC was diagnosed within a follow-up programme, whereas 250 patients (37%) first noted symptoms themselves and thereafter contacted their physician. The median duration of follow-up after BC2 for patients without an event was 5.4 years for symptomatic patients, and 5.7 years for asymptomatic patients. Patient and tumour characteristics are described in Table 2.
Patients with symptoms at diagnosis were younger and had a longer time interval between tumours. Additionally their contralateral tumours were larger, and more often combined with the occurrence of lymph node metastases (Table 2). Using logistic regression, a significantly higher risk of developing metastases was seen in patients who were symptomatic at diagnosis (Table 4). The statistical significance remained when adjusting for age, calendar period, tumour size, node status, and treatment for both tumours. This suggests that finding BC2 at an earlier stage is not the only factor improving prognosis in patients asymptomatic at diagnosis. Multivariate analyses were repeated to include patients with missing values. All analyses yielded similar results as described above.
Table 4
Logistic regression analysis for risk of metastasis in relation to mode of detection and time interval to the second breast cancer
Patients groups
Mode of detection
Cases
Metastasis
OR
OR*
OR**
  
No
No (%)
(95% CI)
(95% CI)
(95% CI)
All
Symptomatic
250
98 (39)
2.1 (1.5-3.0)
2.0 (1.3-3.1)
2.1 (1.3-3.3)
No = 674
Asymptomatic
424
99 (23)
1.0
1.0
1.0
    
p < 0.0001
p = 0.002
p = 0.002
< 3 years to BC2
Symptomatic
57
30 (53)
2.4 (1.3-4.5)
1.7 (0.71-4.1)
1.7 (0.67-4.2)
No = 186
Asymptomatic
129
41 (32)
1.0
1.0
1.0
    
p = 0.008
p = 0.2
p = 0.3
3 years to BC2
Symptomatic
193
68 (35)
2.2 (1.5-3.4)
2.2 (1.3-3.8)
2.3 (1.3-4.0)
No = 488
Asymptomatic
295
58 (20)
1.0
1.0
1.0
    
p < 0.0001
p = 0.003
p = 0.003
< 50 years at BC1
Symptomatic
96
53 (55)
2.2 (1.3-3.9)
1.5 (0.68-3.3)
1.4 (0.62-3.4)
No = 206
Asymptomatic
110
39 (35)
1.0
1.0
1.0
    
p = 0.005
p = 0.3
p = 0.4
50 years at BC1
Symptomatic
154
45 (29)
1.7 (1.1-2.7)
2.2 (1.2-3.9)
2.3 (1.3-4.1)
No = 468
Asymptomatic
314
60 (19)
1.0
1.0
1.0
    
p = 0.01
p = 0.006
p = 0.006
* Adjusted for calendar period (1977-1986, 1987-1996, 1997-2007), age (under vs. over 50 years at diagnosis of BC1), size (mm) of BC1 and BC2, and node status (N0 vs. N+) for BC1 and BC2. No = 471, 138 patients with <3 years to BC2, and 333 patients with ≥3 years to BC2, 158 patients <50 years and 313 ≥50 years.
** Adjusted for HR* and in addition: treatment for BC1 and BC2 (radiotherapy, chemotherapy, endocrine treatment, yes vs. no for each of the variables.). No = 468, 137 patients with <3 years and 331 patients with ≥3 years to BC2, 157 patients <50 years and 311 ≥50 years.
Abbreviations: BC1 first breast cancer, BC2 second breast cancer , CI confidence interval, DDFS distant disease-free survival, N+ lymph node metastases, N0 no lymph node metastases, No number, node status lymph node status, OR odds ratio
Mode of detection remained a significant risk factor for development of distant metastases when the time interval ≥3 years to BC2 was divided into 2 separate categories; 3-9 years and ≥10 years, with a time interval of less than three years selected as reference group (3-9 years; HR = 2.2, p = 0.005 95% CI 1.3-4.0. ≥10 years; HR = 3.0, p = 0.001, 95% CI 1.5-5.8).
When comparing mode of detection for patients diagnosed by clinical examination with those diagnosed by mammography, patients diagnosed by mammography were younger, had smaller tumours, and more seldom lymph node metastases of BC2 (data not shown). Additionally the risk of later metastasis was slightly, though not significantly, higher for patients diagnosed by clinical examination

Association between adjuvant treatment and prognosis

A multivariate Cox-regression analysis adjusted for time interval between tumours, calendar period of diagnosis, mode of detection of BC2, age at BC1, lymph node status, tumour size, and treatment for BC1 and BC2, showed chemotherapy given for BC1 to be an independent negative prognostic factor for DDFS (HR = 2.1, p = 0.008, 95% CI 1.2-3.6). Radiotherapy delivered after BC1 did not reach statistical significance as a prognostic factor for DDFS (HR = 1.5, p = 0.07, 95% CI 0.98-2.3), and endocrine adjuvant treatment given after BC1 was not linked to DDFS (HR = 1.2, p = 0.5, 95% CI 0.74-1.9). However, adjuvant radiotherapy (HR = 0.6, p = 0.007, 95% CI 0.41-0.87) and endocrine treatment (HR = 0.5, p = 0.001, 95% CI 0.33-0.74) after BC2 were positive prognostic factors, whereas chemotherapy given after BC2 had no effect on DDFS (HR = 0.88, p = 0.6, 95% CI 0.50-1.5). Multivariate analyses were repeated to include patients with missing values with similar results as described above.

Discussion

Using a large population-based cohort, including patient, tumour, and treatment information, we have studied prognosis after CBC in relation to time interval to, and mode of detection of BC2. A short time interval to BC2 was proven to be a significant negative prognostic factor, supporting earlier studies [4, 1517]. However sub-group analysis indicates that this effect is seen only for younger women. Data additionally indicate that women diagnosed by routine follow-up examination, have a significantly lower risk of developing metastases at a later stage.
In line with our data, previous studies have found a short time interval to BC2 to be associated with an impaired prognosis [4, 1517]. This study includes extended individual data from a large population-based cohort and strongly validate that a short time interval to BC2 is a negative prognostic factor. Time interval to BC2 was analysed both as a continuous and as a dichotomised variable with a cut-point of three years, and yielded independent prognostic information by both methods. Furthermore, previous results have differed when comparing prognosis after synchronous, metachronous, and unilateral breast cancer [10]. However, there have been indications that synchronous breast cancer (defined as CBC diagnosed within 3-12 months after BC1) might result in a worsened prognosis compared to metachronous breast cancer [10, 11, 18].
The underlying cause for the impaired prognosis observed for CBC diagnosed within a short time interval from BC1 is unclear. One potential explanation could be that these tumours more often represent a metastatic spread of BC1. Comparisons of genetic alternations in bilateral breast cancer have shown that although most CBCs represent a new primary tumour, contralateral spreading from BC1 does occur [69]. A short time interval to BC2 has also been found to correlate with increased genetic and morphological similarities between bilateral tumours [21, 22]. This could suggest a higher prevalence of metastatic spread, but could also be a result of these tumours having developed in a similar biological environment. Imyanitov et al. found the highest correlation between tumours in women who developed both tumours while premenopausal [21]. If this correlation results from a higher percentage of contralateral metastatic spread in these patients, it could partially explain the different effects of time interval to BC2 observed for the different age categories in our study, where most patients (95%) diagnosed when under 50 years of age were premenopausal. However, Imyanitov et al. observed the lowest correlation between bilateral tumours separated by menopause, making hormonal environment at the time of development another likely cause to similarities vs. differences observed [21].
Another potential explanation could be that CBC diagnosed during, or soon after, adjuvant treatment has developed resistance to treatment and a more aggressive phenotype. The incidence of CBC in Sweden has decreased since the early 1980s [4]. This observation is potentially resulting from an increased use of adjuvant treatment, reducing the risk of CBC [2, 3, 2325]. However, during the same time period mortality increased for those women who did develop CBC [4], which could reflect a treatment-escape phenomenon once therapy has failed to prevent a second tumour. CBC developed after tamoxifen treatment is also ER-negative to a larger extent [2, 2628], indicating that treatment given for BC1 affect the biology of BC2. If younger patients have received more adjuvant treatment, this might hence be one explanation to why the time interval between tumours is of greater importance in younger patients. In the present cohort we found support for this theory in that BC1 in younger patients was more often treated with radiotherapy and chemotherapy, while older women received more endocrine therapy (data not shown).
In this study chemotherapy given for BC1 was an independent negative prognostic factor, though this was not seen if chemotherapy had been given for BC2. Adjuvant endocrine treatment after BC1, however, had no effect on prognosis after BC2. Radiotherapy and endocrine treatment were positive prognostic factors if given after BC2, but not if given after BC1. Similar results have been seen in a study by Hartman et al and this could be interpreted as an indication that a CBC diagnosed after prior chemotherapy is more aggressive [4]. However, choice of adjuvant therapy is strongly dependent on tumour stage and biology, and patients selected to receive chemotherapy are those with the worst predicted prognosis. The survival analysis is adjusted for several prognostic factors including tumour stage and all treatment given. There are however still other factors, affecting prognosis and choice of therapy (hormone receptor status, histological grade, etc.) which are not provided for all patients in the present study, including patients for several decades. Hence, although these results are interesting and in line with those found by Hartman et al [4], they need to be interpreted with caution and further studies are required. The effect on prognosis by adjuvant endocrine treatment for BC1 is not fully elucidated since the cohort was not stratified according to hormone receptor status. Future studies including biomarker analysis of BC1 and BC2 can hopefully shed some light on this issue and, more importantly, on the effect of adjuvant treatment after BC1 on tumour biology of BC2.
Although early detection of distant metastases does not affect survival or quality of life [29, 30], recent studies suggest that early detection of local recurrences or CBC does improve prognosis [19, 31, 32]. However, results are not unanimous [3335]. Previous studies are retrospective, leading to problems with lead-time (earlier detection results in a longer follow-up until event, even if the disease progression is the same) and length-time bias (slower growing tumours will be more easily detected, since they are detectable over a longer time period). To avoid lead-time bias we have looked at the risk of metastasis, using logistic regression, instead of DDFS with regard to mode of detection. Length-time bias may still be a problem in our study, although previous studies have not shown this to be a major source of concern [32, 3638]. We found that significantly fewer patients diagnosed with CBC within follow-up examinations subsequently developed metastases, which is probably to a large extent due to the fact that the tumours were discovered at an earlier stage. However, mode of detection remained a significant prognostic factor even after adjusting for tumour size, node status, and treatment for both tumours. This finding is in line with data from unilateral breast cancer, where diagnosis by screening mammography has been shown to be an independent prognostic factor even after adjustment for disease stage [3942].
Presuming that surveillance after breast cancer diagnosis is effective, how long should it continue? In Sweden, a follow-up time of ten years was advocated until the mid-1990s. Today, clinical surveillance is often reduced to five years or less, followed by mammographic surveillance every 24 months within a screening program. In this study we found mode of detection to be associated with risk of metastasis even when BC2 was diagnosed more than ten years after BC1, suggesting that a long follow-up time could be of value.
The present study was based on a unique cohort, including over 700 patients with CBC, with information on patient and tumour characteristics, treatment, and outcome. Despite the large selection of patients and information included in this study, some potential sources of bias should be considered. For example, subgroup analysis will include fewer events. Inclusion in the cohort was based on data from the Swedish Cancer Register which is nationwide. However, some cases of CBC might still be missing or misclassified, and 150 charts were never found. Although data from the patients' individual charts is probably more reliable than register data, the quality of clinical notes and pathological records varied over time and between physicians. Due to the low annual incidence of contralateral breast cancer, a long period of follow-up was needed to receive a large cohort. Hence, standard surgical methods, routine histopathological analysis and adjuvant treatment have changed during the study period. The patients were included in the cohort based on diagnose date of the CBC. Hence, for women initially treated before 1977, there could be a selection of patients with a longer time interval to BC2. When adjusting our analyses for diagnose date of BC1 the multivariate analysis of time interval to BC2 including all patients and treatment was no longer significant. Otherwise significance in all other analysis remained constant.

Conclusions

Patients with CBC are currently treated according to the tumour biology of BC1 and BC2 individually, and it is controversial whether prognosis after CBC is worse than after unilateral breast cancer [4, 1018]. Our study was based on clinical data from individual patients and results indicate that the time interval to BC2, especially for patients younger than 50 years, is a strong prognostic factor. Additionally, mode of detection was proven to be closely related to the risk of developing metastases. By taking time interval to BC2 and mode of detection into account when diagnosing patients with CBC, this study seems to have identified patients with a poor prognosis. Indeed, among patients diagnosed with symptomatic CBC within three years from BC1, more than 50% later developed metastases. Further translational studies of the tumour biology of BC2 in relation to time interval, adjuvant treatment after BC1 and mode of detection are needed to confirm and explain these results.

Acknowledgements

We are indebted to the South-Swedish Oncological Centre providing us with data from the Cancer Register, and to the skilled and helpful staff at the surgical and oncological clinics, and at the medical archives in Lund, Malmö, Helsingborg, Ängelholm, Landskrona, Ystad, Trelleborg, Kristianstad, Växjö, Ljungby, Halmstad, Karlshamn and Karlskrona. Without their help this study could never have been accomplished. We are also indebted to Per Hall and Kamila Czene, Karolinska Institutet, Stockholm for providing us with the protocol used.
This work was supported by funds from the Swedish Cancer Society (070475); the Swedish Research Council (K2006-73X-20136-01-3); Gunnar, Arvid, and Elisabeth Nilsson Foundation (F52/08); Mrs. Berta Kamprad Foundation (BKS13/08; the University Hospital of Lund Research Foundation (H803); the Swedish Society for Medical Research and Governmental Funding of Clinical Research within Nation Health Service (ALF/FUA10623); and Skåne County Council's Research and Development Foundation.
Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://​creativecommons.​org/​licenses/​by/​2.​0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SA abstracted data from the individual charts, participated in database construction, performed statistical analysis and drafted the manuscript, POB was responsible for database construction and statistical analysis and participated in the manuscript draft, JM participated in the statistical analysis, interpretation of the data and manuscript draft. MF participated in the design of the study, interpretation of the data and manuscript draft. LR participated in the design of the study, was responsible for data abstraction, interpretation of the data and manuscript draft. All authors read and approved the final manuscript.
Anhänge

Authors’ original submitted files for images

Literatur
1.
Zurück zum Zitat Adami HO, Bergstrom R, Hansen J: Age at first primary as a determinant of the incidence of bilateral breast cancer. Cumulative and relative risks in a population-based case-control study. Cancer. 1985, 55 (3): 643-647. 10.1002/1097-0142(19850201)55:3<643::AID-CNCR2820550328>3.0.CO;2-L.CrossRefPubMed Adami HO, Bergstrom R, Hansen J: Age at first primary as a determinant of the incidence of bilateral breast cancer. Cumulative and relative risks in a population-based case-control study. Cancer. 1985, 55 (3): 643-647. 10.1002/1097-0142(19850201)55:3<643::AID-CNCR2820550328>3.0.CO;2-L.CrossRefPubMed
2.
Zurück zum Zitat Rutqvist LE, Cedermark B, Glas U, Mattsson A, Skoog L, Somell A, Theve T, Wilking N, Askergren J, Hjalmar ML, Rotstein S, Perveck L, Ringborg U: Contralateral primary tumors in breast cancer patients in a randomized trial of adjuvant tamoxifen therapy. Journal of the National Cancer Institute. 1991, 83 (18): 1299-1306. 10.1093/jnci/83.18.1299.CrossRefPubMed Rutqvist LE, Cedermark B, Glas U, Mattsson A, Skoog L, Somell A, Theve T, Wilking N, Askergren J, Hjalmar ML, Rotstein S, Perveck L, Ringborg U: Contralateral primary tumors in breast cancer patients in a randomized trial of adjuvant tamoxifen therapy. Journal of the National Cancer Institute. 1991, 83 (18): 1299-1306. 10.1093/jnci/83.18.1299.CrossRefPubMed
3.
Zurück zum Zitat Alkner S, Bendahl PO, Ferno M, Nordenskjold B, Ryden L: Tamoxifen reduces the risk of contralateral breast cancer in premenopausal women: Results from a controlled randomised trial. Eur J Cancer. 2009, 45 (14): 2496-2502. 10.1016/j.ejca.2009.05.022.CrossRefPubMed Alkner S, Bendahl PO, Ferno M, Nordenskjold B, Ryden L: Tamoxifen reduces the risk of contralateral breast cancer in premenopausal women: Results from a controlled randomised trial. Eur J Cancer. 2009, 45 (14): 2496-2502. 10.1016/j.ejca.2009.05.022.CrossRefPubMed
4.
Zurück zum Zitat Hartman M, Czene K, Reilly M, Adolfsson J, Bergh J, Adami HO, Dickman PW, Hall P: Incidence and prognosis of synchronous and metachronous bilateral breast cancer. J Clin Oncol. 2007, 25 (27): 4210-4216. 10.1200/JCO.2006.10.5056.CrossRefPubMed Hartman M, Czene K, Reilly M, Adolfsson J, Bergh J, Adami HO, Dickman PW, Hall P: Incidence and prognosis of synchronous and metachronous bilateral breast cancer. J Clin Oncol. 2007, 25 (27): 4210-4216. 10.1200/JCO.2006.10.5056.CrossRefPubMed
5.
Zurück zum Zitat Hartman M, Czene K, Reilly M, Bergh J, Lagiou P, Trichopoulos D, Adami HO, Hall P: Genetic implications of bilateral breast cancer: a population based cohort study. The lancet oncology. 2005, 6 (6): 377-382. 10.1016/S1470-2045(05)70174-1.CrossRefPubMed Hartman M, Czene K, Reilly M, Bergh J, Lagiou P, Trichopoulos D, Adami HO, Hall P: Genetic implications of bilateral breast cancer: a population based cohort study. The lancet oncology. 2005, 6 (6): 377-382. 10.1016/S1470-2045(05)70174-1.CrossRefPubMed
6.
Zurück zum Zitat Brommesson S, Jonsson G, Strand C, Grabau D, Malmstrom P, Ringner M, Ferno M, Hedenfalk I: Tiling array-CGH for the assessment of genomic similarities among synchronous unilateral and bilateral invasive breast cancer tumor pairs. BMC clinical pathology. 2008, 8: 6-10.1186/1472-6890-8-6.CrossRefPubMedPubMedCentral Brommesson S, Jonsson G, Strand C, Grabau D, Malmstrom P, Ringner M, Ferno M, Hedenfalk I: Tiling array-CGH for the assessment of genomic similarities among synchronous unilateral and bilateral invasive breast cancer tumor pairs. BMC clinical pathology. 2008, 8: 6-10.1186/1472-6890-8-6.CrossRefPubMedPubMedCentral
7.
Zurück zum Zitat Imyanitov EN, Hanson KP: Molecular pathogenesis of bilateral breast cancer. Cancer letters. 2003, 191 (1): 1-7. 10.1016/S0304-3835(02)00523-2.CrossRefPubMed Imyanitov EN, Hanson KP: Molecular pathogenesis of bilateral breast cancer. Cancer letters. 2003, 191 (1): 1-7. 10.1016/S0304-3835(02)00523-2.CrossRefPubMed
8.
Zurück zum Zitat Shibata A, Tsai YC, Press MF, Henderson BE, Jones PA, Ross RK: Clonal analysis of bilateral breast cancer. Clin Cancer Res. 1996, 2 (4): 743-748.PubMed Shibata A, Tsai YC, Press MF, Henderson BE, Jones PA, Ross RK: Clonal analysis of bilateral breast cancer. Clin Cancer Res. 1996, 2 (4): 743-748.PubMed
9.
Zurück zum Zitat Janschek E, Kandioler-Eckersberger D, Ludwig C, Kappel S, Wolf B, Taucher S, Rudas M, Gnant M, Jakesz R: Contralateral breast cancer: molecular differentiation between metastasis and second primary cancer. Breast Cancer Res Treat. 2001, 67 (1): 1-8. 10.1023/A:1010661514306.CrossRefPubMed Janschek E, Kandioler-Eckersberger D, Ludwig C, Kappel S, Wolf B, Taucher S, Rudas M, Gnant M, Jakesz R: Contralateral breast cancer: molecular differentiation between metastasis and second primary cancer. Breast Cancer Res Treat. 2001, 67 (1): 1-8. 10.1023/A:1010661514306.CrossRefPubMed
10.
Zurück zum Zitat Verkooijen HM, Chatelain V, Fioretta G, Vlastos G, Rapiti E, Sappino AP, Bouchardy C, Chappuis PO: Survival after bilateral breast cancer: results from a population-based study. Breast Cancer Res Treat. 2007, 105 (3): 347-357. 10.1007/s10549-006-9455-x.CrossRefPubMed Verkooijen HM, Chatelain V, Fioretta G, Vlastos G, Rapiti E, Sappino AP, Bouchardy C, Chappuis PO: Survival after bilateral breast cancer: results from a population-based study. Breast Cancer Res Treat. 2007, 105 (3): 347-357. 10.1007/s10549-006-9455-x.CrossRefPubMed
11.
Zurück zum Zitat Heron DE, Komarnicky LT, Hyslop T, Schwartz GF, Mansfield CM: Bilateral breast carcinoma: risk factors and outcomes for patients with synchronous and metachronous disease. Cancer. 2000, 88 (12): 2739-2750. 10.1002/1097-0142(20000615)88:12<2739::AID-CNCR12>3.0.CO;2-J.CrossRefPubMed Heron DE, Komarnicky LT, Hyslop T, Schwartz GF, Mansfield CM: Bilateral breast carcinoma: risk factors and outcomes for patients with synchronous and metachronous disease. Cancer. 2000, 88 (12): 2739-2750. 10.1002/1097-0142(20000615)88:12<2739::AID-CNCR12>3.0.CO;2-J.CrossRefPubMed
12.
Zurück zum Zitat Takahashi H, Watanabe K, Takahashi M, Taguchi K, Sasaki F, Todo S: The impact of bilateral breast cancer on the prognosis of breast cancer: a comparative study with unilateral breast cancer. Breast cancer (Tokyo, Japan). 2005, 12 (3): 196-202.CrossRef Takahashi H, Watanabe K, Takahashi M, Taguchi K, Sasaki F, Todo S: The impact of bilateral breast cancer on the prognosis of breast cancer: a comparative study with unilateral breast cancer. Breast cancer (Tokyo, Japan). 2005, 12 (3): 196-202.CrossRef
13.
Zurück zum Zitat Dawson LA, Chow E, Goss PE: Evolving perspectives in contralateral breast cancer. Eur J Cancer. 1998, 34 (13): 2000-2009. 10.1016/S0959-8049(98)00208-1.CrossRefPubMed Dawson LA, Chow E, Goss PE: Evolving perspectives in contralateral breast cancer. Eur J Cancer. 1998, 34 (13): 2000-2009. 10.1016/S0959-8049(98)00208-1.CrossRefPubMed
14.
Zurück zum Zitat Burns PE, Dabbs K, May C, Lees AW, Birkett LR, Jenkins HJ, Hanson J: Bilateral breast cancer in northern Alberta: risk factors and survival patterns. Canadian Medical Association journal. 1984, 130 (7): 881-886.PubMedPubMedCentral Burns PE, Dabbs K, May C, Lees AW, Birkett LR, Jenkins HJ, Hanson J: Bilateral breast cancer in northern Alberta: risk factors and survival patterns. Canadian Medical Association journal. 1984, 130 (7): 881-886.PubMedPubMedCentral
15.
Zurück zum Zitat Quan G, Pommier SJ, Pommier RF: Incidence and outcomes of contralateral breast cancers. American journal of surgery. 2008, 195 (5): 645-650. 10.1016/j.amjsurg.2008.01.007. discussion 650CrossRefPubMed Quan G, Pommier SJ, Pommier RF: Incidence and outcomes of contralateral breast cancers. American journal of surgery. 2008, 195 (5): 645-650. 10.1016/j.amjsurg.2008.01.007. discussion 650CrossRefPubMed
16.
Zurück zum Zitat Kuo WH, Yen AM, Lee PH, Chen KM, Wang J, Chang KJ, Chen TH, Tsau HS: Cumulative survival in early-onset unilateral and bilateral breast cancer: an analysis of 1907 Taiwanese women. British journal of cancer. 2009, 100 (4): 563-570. 10.1038/sj.bjc.6604898.CrossRefPubMedPubMedCentral Kuo WH, Yen AM, Lee PH, Chen KM, Wang J, Chang KJ, Chen TH, Tsau HS: Cumulative survival in early-onset unilateral and bilateral breast cancer: an analysis of 1907 Taiwanese women. British journal of cancer. 2009, 100 (4): 563-570. 10.1038/sj.bjc.6604898.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Holmberg L, Adami HO, Ekbom A, Bergstrom R, Sandstrom A, Lindgren A: Prognosis in bilateral breast cancer. Effects of time interval between first and second primary tumours. British journal of cancer. 1988, 58 (2): 191-194. 10.1038/bjc.1988.191.CrossRefPubMedPubMedCentral Holmberg L, Adami HO, Ekbom A, Bergstrom R, Sandstrom A, Lindgren A: Prognosis in bilateral breast cancer. Effects of time interval between first and second primary tumours. British journal of cancer. 1988, 58 (2): 191-194. 10.1038/bjc.1988.191.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Carmichael AR, Bendall S, Lockerbie L, Prescott R, Bates T: The long-term outcome of synchronous bilateral breast cancer is worse than metachronous or unilateral tumours. Eur J Surg Oncol. 2002, 28 (4): 388-391. 10.1053/ejso.2002.1266.CrossRefPubMed Carmichael AR, Bendall S, Lockerbie L, Prescott R, Bates T: The long-term outcome of synchronous bilateral breast cancer is worse than metachronous or unilateral tumours. Eur J Surg Oncol. 2002, 28 (4): 388-391. 10.1053/ejso.2002.1266.CrossRefPubMed
19.
Zurück zum Zitat Lu W, Schaapveld M, Jansen L, Bagherzadegan E, Sahinovic MM, Baas PC, Hanssen LM, van der Mijle HC, Brandenburg JD, Wiggers T, De Bock GH: The value of surveillance mammography of the contralateral breast in patients with a history of breast cancer. Eur J Cancer. 2009, 45 (17): 3000-3007. 10.1016/j.ejca.2009.08.007.CrossRefPubMed Lu W, Schaapveld M, Jansen L, Bagherzadegan E, Sahinovic MM, Baas PC, Hanssen LM, van der Mijle HC, Brandenburg JD, Wiggers T, De Bock GH: The value of surveillance mammography of the contralateral breast in patients with a history of breast cancer. Eur J Cancer. 2009, 45 (17): 3000-3007. 10.1016/j.ejca.2009.08.007.CrossRefPubMed
20.
Zurück zum Zitat Rubino C, Arriagada R, Delaloge S, Le MG: Relation of risk of contralateral breast cancer to the interval since the first primary tumour. British journal of cancer. 2010, 102 (1): 213-9. 10.1038/sj.bjc.6605434.CrossRefPubMed Rubino C, Arriagada R, Delaloge S, Le MG: Relation of risk of contralateral breast cancer to the interval since the first primary tumour. British journal of cancer. 2010, 102 (1): 213-9. 10.1038/sj.bjc.6605434.CrossRefPubMed
21.
Zurück zum Zitat Imyanitov EN, Suspitsin EN, Grigoriev MY, Togo AV, Kuligina E, Belogubova EV, Pozharisski KM, Turkevich EA, Rodriquez C, Cornelisse CJ, Hanson KP, Theillet C: Concordance of allelic imbalance profiles in synchronous and metachronous bilateral breast carcinomas. International journal of cancer. 2002, 100 (5): 557-564. 10.1002/ijc.10530.CrossRefPubMed Imyanitov EN, Suspitsin EN, Grigoriev MY, Togo AV, Kuligina E, Belogubova EV, Pozharisski KM, Turkevich EA, Rodriquez C, Cornelisse CJ, Hanson KP, Theillet C: Concordance of allelic imbalance profiles in synchronous and metachronous bilateral breast carcinomas. International journal of cancer. 2002, 100 (5): 557-564. 10.1002/ijc.10530.CrossRefPubMed
22.
Zurück zum Zitat Hemminki K, Granstrom C: Morphological types of breast cancer in family members and multiple primary tumours: is morphology genetically determined?. Breast Cancer Res. 2002, 4 (4): R7-10.1186/bcr444.CrossRefPubMedPubMedCentral Hemminki K, Granstrom C: Morphological types of breast cancer in family members and multiple primary tumours: is morphology genetically determined?. Breast Cancer Res. 2002, 4 (4): R7-10.1186/bcr444.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Howell A, Cuzick J, Baum M, Buzdar A, Dowsett M, Forbes JF, Hoctin-Boes G, Houghton J, Locker GY, Tobias JS: Results of the ATAC (Arimidex, Tamoxifen, Alone or in Combination) trial after completion of 5 years' adjuvant treatment for breast cancer. Lancet. 2005, 365 (9453): 60-62. 10.1016/S0140-6736(04)17666-6.CrossRefPubMed Howell A, Cuzick J, Baum M, Buzdar A, Dowsett M, Forbes JF, Hoctin-Boes G, Houghton J, Locker GY, Tobias JS: Results of the ATAC (Arimidex, Tamoxifen, Alone or in Combination) trial after completion of 5 years' adjuvant treatment for breast cancer. Lancet. 2005, 365 (9453): 60-62. 10.1016/S0140-6736(04)17666-6.CrossRefPubMed
24.
Zurück zum Zitat Fisher B, Dignam J, Bryant J, DeCillis A, Wickerham DL, Wolmark N, Costantino J, Redmond C, Fisher ER, Bowman DM, Deschênes L, Dimitrov NV, Margolese RG, Robidoux A, Shibata H, Terz J, Paterson AH, Feldman MI, Farrar W, Evans J, Lickley HL: Five versus more than five years of tamoxifen therapy for breast cancer patients with negative lymph nodes and estrogen receptor-positive tumors. Journal of the National Cancer Institute. 1996, 88 (21): 1529-1542. 10.1093/jnci/88.21.1529.CrossRefPubMed Fisher B, Dignam J, Bryant J, DeCillis A, Wickerham DL, Wolmark N, Costantino J, Redmond C, Fisher ER, Bowman DM, Deschênes L, Dimitrov NV, Margolese RG, Robidoux A, Shibata H, Terz J, Paterson AH, Feldman MI, Farrar W, Evans J, Lickley HL: Five versus more than five years of tamoxifen therapy for breast cancer patients with negative lymph nodes and estrogen receptor-positive tumors. Journal of the National Cancer Institute. 1996, 88 (21): 1529-1542. 10.1093/jnci/88.21.1529.CrossRefPubMed
25.
Zurück zum Zitat Systemic treatment of early breast cancer by hormonal cytotoxic or immune therapy. 133 randomised trials involving 31,000 recurrences and 24,000 deaths among 75,000 women. Early Breast Cancer Trialists' Collaborative Group. Lancet. 1992, 339 (8785): 71-85. Systemic treatment of early breast cancer by hormonal cytotoxic or immune therapy. 133 randomised trials involving 31,000 recurrences and 24,000 deaths among 75,000 women. Early Breast Cancer Trialists' Collaborative Group. Lancet. 1992, 339 (8785): 71-85.
26.
Zurück zum Zitat Swain SM, Wilson JW, Mamounas EP, Bryant J, Wickerham DL, Fisher B, Paik S, Wolmark N: Estrogen receptor status of primary breast cancer is predictive of estrogen receptor status of contralateral breast cancer. Journal of the National Cancer Institute. 2004, 96 (7): 516-523. 10.1093/jnci/djh097.CrossRefPubMed Swain SM, Wilson JW, Mamounas EP, Bryant J, Wickerham DL, Fisher B, Paik S, Wolmark N: Estrogen receptor status of primary breast cancer is predictive of estrogen receptor status of contralateral breast cancer. Journal of the National Cancer Institute. 2004, 96 (7): 516-523. 10.1093/jnci/djh097.CrossRefPubMed
27.
Zurück zum Zitat Arpino G, Weiss HL, Clark GM, Hilsenbeck SG, Osborne CK: Hormone receptor status of a contralateral breast cancer is independent of the receptor status of the first primary in patients not receiving adjuvant tamoxifen. J Clin Oncol. 2005, 23 (21): 4687-4694. 10.1200/JCO.2005.04.076.CrossRefPubMed Arpino G, Weiss HL, Clark GM, Hilsenbeck SG, Osborne CK: Hormone receptor status of a contralateral breast cancer is independent of the receptor status of the first primary in patients not receiving adjuvant tamoxifen. J Clin Oncol. 2005, 23 (21): 4687-4694. 10.1200/JCO.2005.04.076.CrossRefPubMed
28.
Zurück zum Zitat Cuzick J, Powles T, Veronesi U, Forbes J, Edwards R, Ashley S, Boyle P: Overview of the main outcomes in breast-cancer prevention trials. Lancet. 2003, 361 (9354): 296-300. 10.1016/S0140-6736(03)12342-2.CrossRefPubMed Cuzick J, Powles T, Veronesi U, Forbes J, Edwards R, Ashley S, Boyle P: Overview of the main outcomes in breast-cancer prevention trials. Lancet. 2003, 361 (9354): 296-300. 10.1016/S0140-6736(03)12342-2.CrossRefPubMed
29.
Zurück zum Zitat Impact of follow-up testing on survival and health-related quality of life in breast cancer patients. A multicenter randomized controlled trial. The GIVIO Investigators. JAMA. 1994, 271 (20): 1587-1592. 10.1001/jama.271.20.1587. Impact of follow-up testing on survival and health-related quality of life in breast cancer patients. A multicenter randomized controlled trial. The GIVIO Investigators. JAMA. 1994, 271 (20): 1587-1592. 10.1001/jama.271.20.1587.
30.
Zurück zum Zitat Rosselli Del Turco M, Palli D, Cariddi A, Ciatto S, Pacini P, Distante V: Intensive diagnostic follow-up after treatment of primary breast cancer. A randomized trial. National Research Council Project on Breast Cancer follow-up. JAMA. 1994, 271 (20): 1593-1597. 10.1001/jama.271.20.1593.CrossRefPubMed Rosselli Del Turco M, Palli D, Cariddi A, Ciatto S, Pacini P, Distante V: Intensive diagnostic follow-up after treatment of primary breast cancer. A randomized trial. National Research Council Project on Breast Cancer follow-up. JAMA. 1994, 271 (20): 1593-1597. 10.1001/jama.271.20.1593.CrossRefPubMed
31.
Zurück zum Zitat Lu WL, Jansen L, Post WJ, Bonnema J, Van de Velde JC, De Bock GH: Impact on survival of early detection of isolated breast recurrences after the primary treatment for breast cancer: a meta-analysis. Breast Cancer Res Treat. 2009, 114 (3): 403-412. 10.1007/s10549-008-0023-4.CrossRefPubMed Lu WL, Jansen L, Post WJ, Bonnema J, Van de Velde JC, De Bock GH: Impact on survival of early detection of isolated breast recurrences after the primary treatment for breast cancer: a meta-analysis. Breast Cancer Res Treat. 2009, 114 (3): 403-412. 10.1007/s10549-008-0023-4.CrossRefPubMed
32.
Zurück zum Zitat Houssami N, Ciatto S, Martinelli F, Bonardi R, Duffy SW: Early detection of second breast cancers improves prognosis in breast cancer survivors. Ann Oncol. 2009, 20 (9): 1505-1510. 10.1093/annonc/mdp037.CrossRefPubMed Houssami N, Ciatto S, Martinelli F, Bonardi R, Duffy SW: Early detection of second breast cancers improves prognosis in breast cancer survivors. Ann Oncol. 2009, 20 (9): 1505-1510. 10.1093/annonc/mdp037.CrossRefPubMed
33.
Zurück zum Zitat Jacobs HJ, van Dijck JA, de Kleijn EM, Kiemeney LA, Verbeek AL: Routine follow-up examinations in breast cancer patients have minimal impact on life expectancy: a simulation study. Ann Oncol. 2001, 12 (8): 1107-1113. 10.1023/A:1011624829512.CrossRefPubMed Jacobs HJ, van Dijck JA, de Kleijn EM, Kiemeney LA, Verbeek AL: Routine follow-up examinations in breast cancer patients have minimal impact on life expectancy: a simulation study. Ann Oncol. 2001, 12 (8): 1107-1113. 10.1023/A:1011624829512.CrossRefPubMed
34.
Zurück zum Zitat Grunfeld E, Noorani H, McGahan L, Paszat L, Coyle D, van Walraven C, Joyce J, Sawka C: Surveillance mammography after treatment of primary breast cancer: a systematic review. Breast (Edinburgh, Scotland). 2002, 11 (3): 228-235.CrossRef Grunfeld E, Noorani H, McGahan L, Paszat L, Coyle D, van Walraven C, Joyce J, Sawka C: Surveillance mammography after treatment of primary breast cancer: a systematic review. Breast (Edinburgh, Scotland). 2002, 11 (3): 228-235.CrossRef
35.
Zurück zum Zitat de Bock GH, Bonnema J, van der Hage J, Kievit J, van de Velde CJ: Effectiveness of routine visits and routine tests in detecting isolated locoregional recurrences after treatment for early-stage invasive breast cancer: a meta-analysis and systematic review. J Clin Oncol. 2004, 22 (19): 4010-4018. 10.1200/JCO.2004.06.080.CrossRefPubMed de Bock GH, Bonnema J, van der Hage J, Kievit J, van de Velde CJ: Effectiveness of routine visits and routine tests in detecting isolated locoregional recurrences after treatment for early-stage invasive breast cancer: a meta-analysis and systematic review. J Clin Oncol. 2004, 22 (19): 4010-4018. 10.1200/JCO.2004.06.080.CrossRefPubMed
36.
Zurück zum Zitat Lawrence G, Wallis M, Allgood P, Nagtegaal ID, Warwick J, Cafferty FH, Houssami N, Kearins O, Tappenden N, O'Sullivan E, Duffy SW: Population estimates of survival in women with screen-detected and symptomatic breast cancer taking account of lead time and length bias. Breast Cancer Res Treat. 2009, 116 (1): 179-185. 10.1007/s10549-008-0100-8.CrossRefPubMed Lawrence G, Wallis M, Allgood P, Nagtegaal ID, Warwick J, Cafferty FH, Houssami N, Kearins O, Tappenden N, O'Sullivan E, Duffy SW: Population estimates of survival in women with screen-detected and symptomatic breast cancer taking account of lead time and length bias. Breast Cancer Res Treat. 2009, 116 (1): 179-185. 10.1007/s10549-008-0100-8.CrossRefPubMed
37.
Zurück zum Zitat Duffy SW, Nagtegaal ID, Wallis M, Cafferty FH, Houssami N, Warwick J, Allgood PC, Kearins O, Tappenden N, O'Sullivan E, Lawrence G: Correcting for lead time and length bias in estimating the effect of screen detection on cancer survival. American journal of epidemiology. 2008, 168 (1): 98-104. 10.1093/aje/kwn120.CrossRefPubMed Duffy SW, Nagtegaal ID, Wallis M, Cafferty FH, Houssami N, Warwick J, Allgood PC, Kearins O, Tappenden N, O'Sullivan E, Lawrence G: Correcting for lead time and length bias in estimating the effect of screen detection on cancer survival. American journal of epidemiology. 2008, 168 (1): 98-104. 10.1093/aje/kwn120.CrossRefPubMed
38.
Zurück zum Zitat Paci E, Coviello E, Miccinesi G, Puliti D, Cortesi L, De Lisi V, Ferretti S, Mangone L, Perlangeli V, Ponti A, Ravaioli A, de' Bianchi PS, Segnan N, Stracci F, Tumino R, Zarcone M, Zorzi M, Zappa M, IMPACT Working Group: Evaluation of service mammography screening impact in Italy. The contribution of hazard analysis. Eur J Cancer. 2008, 44 (6): 858-865. 10.1016/j.ejca.2008.02.026.CrossRefPubMed Paci E, Coviello E, Miccinesi G, Puliti D, Cortesi L, De Lisi V, Ferretti S, Mangone L, Perlangeli V, Ponti A, Ravaioli A, de' Bianchi PS, Segnan N, Stracci F, Tumino R, Zarcone M, Zorzi M, Zappa M, IMPACT Working Group: Evaluation of service mammography screening impact in Italy. The contribution of hazard analysis. Eur J Cancer. 2008, 44 (6): 858-865. 10.1016/j.ejca.2008.02.026.CrossRefPubMed
39.
Zurück zum Zitat Dawson SJ, Duffy SW, Blows FM, Driver KE, Provenzano E, LeQuesne J, Greenberg DC, Pharoah P, Caldas C, Wishart GC: Molecular characteristics of screen-detected vs symptomatic breast cancers and their impact on survival. British journal of cancer. 2009, 101 (8): 1338-1344. 10.1038/sj.bjc.6605317.CrossRefPubMedPubMedCentral Dawson SJ, Duffy SW, Blows FM, Driver KE, Provenzano E, LeQuesne J, Greenberg DC, Pharoah P, Caldas C, Wishart GC: Molecular characteristics of screen-detected vs symptomatic breast cancers and their impact on survival. British journal of cancer. 2009, 101 (8): 1338-1344. 10.1038/sj.bjc.6605317.CrossRefPubMedPubMedCentral
40.
Zurück zum Zitat Joensuu H, Lehtimaki T, Holli K, Elomaa L, Turpeenniemi-Hujanen T, Kataja V, Anttila A, Lundin M, Isola J, Lundin J: Risk for distant recurrence of breast cancer detected by mammography screening or other methods. Jama. 2004, 292 (9): 1064-1073. 10.1001/jama.292.9.1064.CrossRefPubMed Joensuu H, Lehtimaki T, Holli K, Elomaa L, Turpeenniemi-Hujanen T, Kataja V, Anttila A, Lundin M, Isola J, Lundin J: Risk for distant recurrence of breast cancer detected by mammography screening or other methods. Jama. 2004, 292 (9): 1064-1073. 10.1001/jama.292.9.1064.CrossRefPubMed
41.
Zurück zum Zitat Shen Y, Yang Y, Inoue LY, Munsell MF, Miller AB, Berry DA: Role of detection method in predicting breast cancer survival: analysis of randomized screening trials. Journal of the National Cancer Institute. 2005, 97 (16): 1195-1203. 10.1093/jnci/dji239.CrossRefPubMed Shen Y, Yang Y, Inoue LY, Munsell MF, Miller AB, Berry DA: Role of detection method in predicting breast cancer survival: analysis of randomized screening trials. Journal of the National Cancer Institute. 2005, 97 (16): 1195-1203. 10.1093/jnci/dji239.CrossRefPubMed
42.
Zurück zum Zitat Wishart GC, Greenberg DC, Britton PD, Chou P, Brown CH, Purushotham AD, Duffy SW: Screen-detected vs symptomatic breast cancer: is improved survival due to stage migration alone?. British journal of cancer. 2008, 98 (11): 1741-1744. 10.1038/sj.bjc.6604368.CrossRefPubMedPubMedCentral Wishart GC, Greenberg DC, Britton PD, Chou P, Brown CH, Purushotham AD, Duffy SW: Screen-detected vs symptomatic breast cancer: is improved survival due to stage migration alone?. British journal of cancer. 2008, 98 (11): 1741-1744. 10.1038/sj.bjc.6604368.CrossRefPubMedPubMedCentral
Metadaten
Titel
Prediction of outcome after diagnosis of metachronous contralateral breast cancer
verfasst von
Sara Alkner
Pär-Ola Bendahl
Mårten Fernö
Jonas Manjer
Lisa Rydén
Publikationsdatum
01.12.2011
Verlag
BioMed Central
Erschienen in
BMC Cancer / Ausgabe 1/2011
Elektronische ISSN: 1471-2407
DOI
https://doi.org/10.1186/1471-2407-11-114

Weitere Artikel der Ausgabe 1/2011

BMC Cancer 1/2011 Zur Ausgabe

Umsetzung der POMGAT-Leitlinie läuft

03.05.2024 DCK 2024 Kongressbericht

Seit November 2023 gibt es evidenzbasierte Empfehlungen zum perioperativen Management bei gastrointestinalen Tumoren (POMGAT) auf S3-Niveau. Vieles wird schon entsprechend der Empfehlungen durchgeführt. Wo es im Alltag noch hapert, zeigt eine Umfrage in einem Klinikverbund.

CUP-Syndrom: Künstliche Intelligenz kann Primärtumor finden

30.04.2024 Künstliche Intelligenz Nachrichten

Krebserkrankungen unbekannten Ursprungs (CUP) sind eine diagnostische Herausforderung. KI-Systeme können Pathologen dabei unterstützen, zytologische Bilder zu interpretieren, um den Primärtumor zu lokalisieren.

Sind Frauen die fähigeren Ärzte?

30.04.2024 Gendermedizin Nachrichten

Patienten, die von Ärztinnen behandelt werden, dürfen offenbar auf bessere Therapieergebnisse hoffen als Patienten von Ärzten. Besonders gilt das offenbar für weibliche Kranke, wie eine Studie zeigt.

Adjuvante Immuntherapie verlängert Leben bei RCC

25.04.2024 Nierenkarzinom Nachrichten

Nun gibt es auch Resultate zum Gesamtüberleben: Eine adjuvante Pembrolizumab-Therapie konnte in einer Phase-3-Studie das Leben von Menschen mit Nierenzellkarzinom deutlich verlängern. Die Sterberate war im Vergleich zu Placebo um 38% geringer.

Update Onkologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.