Skip to main content
Erschienen in: Breast Cancer Research and Treatment 3/2020

Open Access 30.04.2020 | Epidemiology

Tumour characteristics and survivorship in a cohort of breast cancer: the MCC-Spain study

verfasst von: Inés Gómez-Acebo, Trinidad Dierssen-Sotos, Camilo Palazuelos-Calderón, Beatriz Pérez-Gómez, Pilar Amiano, Marcela Guevara, Antonio J. Molina, Laia Domingo, María Fernández-Ortiz, Victor Moreno, Juan Alguacil, Guillermo Fernández-Tardón, Josefa Ibáñez, Rafael Marcos-Gragera, Marian Diaz-Santos, M. Henar Alonso, Jessica Alonso-Molero, Gemma Castaño-Vinyals, Andrés García Palomo, Eva Ardanaz, Amaia Molinuevo, Nuria Aragonés, Manolis Kogevinas, Marina Pollán, Javier Llorca

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 3/2020

Abstract

Purpose

The objective of this study is to analyse the relative survival with breast cancer in women diagnosed after new treatments were generalised and to ascertain the current effect that tumour characteristics such as grade, stage or subtype have on survival as well as the new AJCC-pathological prognostic score.

Methods

The breast cancer MCC-Spain follow-up study is a prospective cohort study of 1685 incident breast cancer cases. Women between 20 and 85 years old were recruited between the years 2008 and 2013 in 18 hospitals located in 10 Spanish provinces and they have been followed until 2017/2018. Relative survival was estimated after 3, 5 and 8 years of follow-up using Ederer II method. In addition, Weibull regression adjusted by age, hospital, grade and stage was used to investigate prognosis factors.

Results

Among components of TNM staging system, tumour size greater than 50 mm (i.e. T3 or T4) more than doubled the risk of dying, while N3 nodal involvement and presence of metastasis had a huge effect on mortality. The AJCC pathological prognostic score strongly correlated with survival; thus, hazard ratios increased as the score rose, being 2.31, 4.00, 4.94, 7.92, 2.26, 14.9 and 58.9 for scores IB, IIA, IIB, IIIA, IIIB, IIIC and IV, respectively.

Conclusion

Both TNM staging and histological/molecular biomarkers are associated with overall survival in Spanish women with breast cancer; when both are combined in the AJCC pathological prognosis score, the prognostic value improved with risk indices that increased rapidly as the pathological prognosis score increased
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1007/​s10549-020-05600-x) contains supplementary material, which is available to authorised users.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BC
Breast cancer
BMI
Body mass index
MCC-Spain
Multicase-control Spain
OR
Odds ratios
RRR
Relative risk ratio
CI
Confidence intervals

Introduction

Breast cancer (BC) is the most frequent cancer and the fourth cause of death by cancer in women in developed countries [1]. Rates of survival with breast cancer have increased significantly all over the world in the past decades [2]. In Spain, it has been estimated that 32,825 new BC cases were diagnosed in 2018, with an incidence rate (Age-standardised [World]) of 75.4 cases per 100,000 women-years [3]. Main factors associated with prognosis in breast cancer are stage (enclosing tumour size and local infiltration, lymph nodes and metastasis), tumour grade of differentiation, histological type and presence/absence of hormone and Her2/neu receptors [2].
Although paclitaxel has been available since 1993, breast cancer treatment has considerably improved from 1995 onwards as conservative surgery has become widely performed. Systemic therapy has switched from CMF (cyclophosphamide, methotrexate and 5-fluorouracil) to regimens containing anthracycline [4], routine searches for oestrogen and progesterone receptors has allowed for the introduction of tamoxifen, as well as identification of tumours positive to Her2/neu has enabled targeted therapy with trastuzumab [5], which was authorised in the European Union on August 28, 2000. In this regard, identification of intrinsic subtypes (i.e. luminal A, luminal B, Her2-positive and basal-like) has allowed for agreement in general recommendations for first-line therapy in early-stage breast cancer [6]. Survival has thus enhanced and 5-year survival is now around 85% [79]. In spite of the improvement in systemic therapy, tumour stage remains a key prognosis factor in breast cancer patients [10], which reinforces the relevance of early diagnosis. The American Joint Committee for Cancer (AJCC) has recently suggested a pathological prognostic score combining tumour stage, grade and hormonal/Her2 receptors [11], which has been proved effective as survival predictor [12, 13].
Studies carried out in population-based cancer registries covering 17% of the Spanish population reported that women with BC diagnosed in Spain had 86.0% 5-year age-adjusted relative survival if diagnosed between 1995 and 1999 [7, 14] with no improvements for women diagnosed from 2000 to 2007 [7]. That study, however, included women diagnosed well before the extension of anthracycline-based chemotherapy and the introduction of endocrine therapy with tamoxifen and anti-Her2 treatment with trastuzumab. The main goal in this study is to analyse the relative survival with BC in women diagnosed in 2008–2013—after new treatments were generalised—and to ascertain the current effect that tumour characteristics such as grade, stage or subtype have on survival as well as the new AJCC-pathological prognostic score.

Methods

Setting and patients

The breast cancer MCC-Spain follow-up study is a prospective cohort study of incident breast cancer cases diagnosed between 2008 and 2013 in 18 hospitals located in 10 Spanish provinces (Asturias, Barcelona, Cantabria, Girona, Gipuzkoa, Huelva, León, Madrid, Navarra and Valencia). 1738 women between 20 and 85 years old with newly diagnosed primary breast cancer were recruited in the context of a case–control study. The identification of incident cases was carried out by active search through periodic visits to the relevant hospital departments (i.e. gynaecology, oncology, general surgery, radiotherapy and pathology departments). All the cases that were included had histological confirmation and included all the malignant BC (International Classification of Diseases 10th Revision (ICD-10) [15] code C50) and frequent breast cancers in situ (ICD-10: D05.1, D05.7), without a malignant history of BC, diagnosed between 2008 and 2013 in the selected hospitals. Patients were residing in the catchment areas of hospitals for at least 6 months before recruitment. A detailed description of methods and sample characteristics has been published elsewhere [16, 17] and then, 98% recruited patients have been followed until 2017/2018 (N = 1685). Only patients signing an informed consent were recruited; the informed consent also asked them for their permission for later consulting their medical records during the follow-up.

Information obtained at recruitment

When the patients were recruited, medical records were reviewed in order to gather information on age, date of diagnosis, tumour characteristics, including tumour size, lymph nodes, presence of metastases, grade of differentiation. Furthermore, oestrogen (ER), progesterone (PgR) and human epidermal growth factor receptor 2 (HER2) status were assessed and then classified as positive (+), negative (−) and unknown. Specifically, ER and PgR were considered positive if 1% or more of neoplastic cells showed nuclear immunohistochemical (IHC) staining. HER2 was considered positive (overexpressed) if graded 3 + on IHC performed, and all other grades (0 to 2 +) were considered negative unless fluorescence in situ hybridization of 2 + cases confirmed increased gene copy number. Molecular subtypes of breast carcinoma is classified into luminal A (ER + and / or PR + , HER2-, Ki-67 < 14%), luminal B (ER + and / or PR + , HER2-, or ER + and / or PR + , HER2-, Ki-67 ≥ 14%), HER2 + (ER-, PR-, HER2 +) and basal-like or triple negative is a tumour which does not meet any pathologic criteria for positivity of oestrogen receptor, progesterone receptor, or ERBB2 (ER-, PR- and HER2-) [6]. Tumour stage was based on the AJCC standards [18]. Tumour size was classified as T1: ≤ 2 cm, T2: > 2 cm and ≤ 5 cm, T3: > 5 cm, T4: any size with direct extension to chest wall and/or skin; lymph node involvement was classified as N0: no pathologically proven positive lymph nodes, N1: 1–3 positive nodes, N2: 4–9 positive nodes, N3: ≥ 10 positive nodes. Tumour grade was categorised as I: well differentiated, II: moderately differentiated, III: poorly differentiated, according to the modified Bloom and Richardson grading system [19]; when Bloom and Richardson grade was unavailable, other similar classifications were used as it has been proved they are highly reliable [20]. First-line therapy was also recorded, including type of surgery (conservative or mastectomy), margins (free or invaded), chemotherapy regime, radiotherapy, endocrine therapy, Her2-targeted therapy; for all systemic therapies, whether they were adjuvant or neoadjuvant was also recorded.

Follow-up

In 2017 and 2018, medical records were reviewed to obtain the last date the patient was attended to in t the health system and to ascertain current patient’s vital status. For patients that had not have been at hospital in the 3 months before their medical record review, the National Death Index (Índice Nacional de Defunciones) was consulted [21]. This index is a database recording date of death for all people who have died in Spain; it is hosted on the Ministry of Health web page and can only be accessed with specific authorisation for research purposes. Last date of search in the National Death Index was in December 2018.

Statistical analysis

Deaths by any cause were considered events and patients alive in their last contact with hospital and not included in the National Death Index were considered censored. Time of follow-up was considered as the time from diagnosis to death or to the last contact in hospital in alive patients. Relative survival, defined as the ratio of the observed survival in our study population and the expected survival in general population Spanish women with the same age as cases in the year of diagnosis, was estimated using Ederer II method [22]; for this purpose, age-specific mortality rates from 2007 to 2018 obtained from the Spanish National Institute for Statistics (INE) were used as reference. 3-, 5- and 8-year survival Kaplan–Meier estimates were obtained. Weibull regression adjusting by age, hospital, grade and stage was used to investigate prognosis factors; its results are displayed as hazard ratios with their 95% confidence intervals. Groups that included less than 25 people were excluded from this analysis. Stata 14/SE package was used in the analyses.

Results

Characteristics of patients

We followed 1685 women out of 1738 breast cancer patients (98%), who had primary breast cancer between 2007 and 2013. Patient-years of follow-up were 10,931 person-years. The maximum period for breast cancer follow-up was nine and a half years (from 13th July 2007 to 22nd March 2018) and 206 patients died in the follow-up; 5-year survival was 90.7%.
The mean age at diagnosis was 56.5 ± 12.6-year-old and 65% were postmenopausal. Other main characteristics of the patients are shown in supplementary Table 1.
Table 1
Relative survival probability 3, 5 and 8 years after breast cancer diagnosis according to tumour characteristics
Variable
Category
N (%)
3-year
5-year
8-year
Survival (95% CI)
Survival (95% CI)
Survival (95% CI)
Histology
Ductal
1276 (75.73)
97 (95–98)
93 (92–95)
91 (88–93)
Lobular
110 (6.53)
95 (88–98)
89 (80–94)
87 (76–94)
Other
299 (17.74)
100 (98–101)
97 (94–99)
97 (92–100)
Tumour size
T1
876 (51.99)
100 (99–101)
98 (97–99)
97 (95–99)
T2
424 (25.16)
96 (93–98)
91 (87–94)
87 (81–91)
T3
73 (4.33)
88 (77–94)
75 (63–85)
71 (58–81)
T4
39 (2.31)
74 (56–86)
59 (41–74)
59 (40–75)
Tis
109 (6.47)
101 (101–101)
102 (102–102)
100 (91–103)
Missing
141 (8.37)
93 (86–97)
87 (80–93)
81 (69–90)
Node infiltration
N0
877 (52.05)
100 (99–100)
97 (95–99)
98 (96–100)
N1
441 (26.17)
97 (95–99)
94 (91–96)
90 (85–94)
N2
142 (8.43)
93 (86–97)
85 (77–91)
78 (68–86)
N3
49 (2.91)
81 (67–91)
77 (61–87)
61 (40–78)
Missing
176 (10.45)
92 (86–96)
88 (81–93)
79 (69–87)
Tumour stage
0
112 (6.65)
100 (95–101)
101 (96–102)
98 (89–102)
I
594 (35.25)
101 (99–101)
99 (97–101)
100 (97–102)
II
498 (29.55)
98 (96–100)
95 (92–97)
93 (88–96)
III
187 (11.10)
94 (89–97)
88 (82–93)
81 (72–88)
IV
42 (2.49)
63 (46–77)
40 (24–55)
24 (11–40)
Oestrogen receptor
Positive
1398 (82.97)
99 (98–100)
96 (94–97)
93 (91–95)
Negative
244 (14.48)
86 (81–90)
81 (75–86)
80 (73–85)
Progesterone receptor
Positive
1237 (73.41)
100 (98–100)
97 (95–98)
95 (92–97)
Negative
401 (23.80)
90 (86–93)
85 (80–88)
81 (76–85)
Her2
Negative
1250 (74.18)
97 (96–98)
93 (92–95)
91 (88–93)
Positive
294 (17.45)
97 (94–99)
93 (89–96)
89 (84–93)
Intrinsic subtype
Luminal A
997 (59.17)
100 (98–100)
96 (94–98)
94 (92–97)
Luminal B
331 (19.64)
97 (95–99)
94 (90–97)
88 (83–93)
Her2
81 (4.81)
94 (86–99)
87 (76–93)
82 (70–91)
Basal-like
130 (7.72)
78 (70–85)
74 (65–81)
74 (64–82)
Luminal ONI
91 (5.40)
100 (94–101)
101 (95–102)
101 (92–104)
Grade
I: Well differentiated
329 (19.53)
100 (98–101)
99 (96–101)
99 (95–102)
II: Moderately differentiated
520 (30.86)
100 (98–101)
95 (92–97)
93 (89–96)
III: Poorly differentiated
355 (21.07)
93 (89–95)
90 (86–94)
88 (83–92)
Missing
481 (28.55)
96 (93–98)
91 (88–94)
88 (83–91)
ONI Otherwise non-identified, Luminal ONI hormonal receptors positive, Her2 missing, Non-luminal ONI hormonal receptors negative, Her2 missing

Tumour characteristics

Regarding the characteristics of the tumours, the most usual histological type was ductal (75.7%), followed by lobular (6.5%). About half of cancers were T1 (52%) and lymph node negatives (52%). Only 42 women (2.5%) had metastasis at the time of diagnosis.
Concerning intrinsic subtypes, 997 (59.2%) could be classified as luminal A-like, 331 (19.6%) as luminal B-like, 81 (4.8%) as Her2 (non-luminal)-like and 130 (7.7%) as basal-like. Grade of differentiation could not be obtained from medical records in 481 patients (28.5%). Almost 31% of the cancers were moderately differentiated while poorly differentiated accounted for about 21% cancers. Hormone receptor status was available for most cases; 83% were oestrogen receptor positive, 73% progesterone positive and 17.4% were Her2 positive (Table 1).

Relative survival

5-year relative survival with breast cancer was 93% (95% CI 92 – 94) (Fig. 1a). Table 1 shows 3-, 5- and 8-year relative survival according to tumour characteristics. Women diagnosed in stage I had the same survival probability than women with the same age without breast cancer (i.e. 100% relative survival) even after 8 years of follow-up. At the same time, relative survival decreased with follow-up time in women diagnosed in more advanced stages: 3-, 5- and 8-year relative survival were 98%, 95% and 93% for breast cancer diagnosed in stage II, 94%, 88% and 81% in women diagnosed in staged III and 63%, 40% and 24% in those diagnosed in staged IV (Table 1 and Fig. 1b). Relative survival also decreased as grading got less differentiated [8-year relative survival: 99% in well differentiated tumours, 93% in moderately differentiated and 88% in poorly differentiated (Table 1 and Fig. 1c)]. Relative survival after 8 years of follow-up was 94% for luminal A-like breast cancers, 88% for luminal B-like, 82% for Her2 non-luminal) and 74% for basal-like cancers (Table 1 and Fig. 1d).

Prognostic factors on overall mortality

Age, hospital, stage and grade-adjusted hazard ratios on association between survival and tumour characteristics and first-line treatment are displayed in Table 2. Age, premenopausal status, tumour size, nodal infiltration and presence of metastasis were significantly associated with overall mortality. Hazard ratios increased with tumour stage, being 1 (reference) for T1 and 1.62 (1.04 – 2.52) and 2.04 (1.13 – 3.68) for T2, T3, respectively. Breast cancers negative for oestrogen or progesterone receptors behaved worse than their opposite. Luminal A- like and luminal B-like tumours had similar prognosis; hazard for Her2 (non-luminal) cancers were 50% higher than for luminal A-like (hazard ratio = 1.50; 95% CI 0.87 – 2.59), and basal-like tumour’s hazard was three times that of luminal A-like (hazard ratio = 3.50; 95% CI 2.31 – 5.30). Grading showed a dose–response association with mortality, with hazard ratios 1 (reference) for well differentiated cancers, 1.48 (0.86 – 2.54) for moderately differentiated and 2.42 (1.41 – 4.17) for poorly differentiated. To further explore whether intrinsic subtype adds prognosis value to tumour stage, we studied the effect of stage by stratifying for intrinsic subtype; results in Fig. 2a show that higher stages had higher hazard ratios, whatever the intrinsic subtype. However, when stratifying the effect of intrinsic subtype for tumour stage, we found that intrinsic subtype had no effect at all in patients in stage I, while Her2 (non-luminal) and basal-like tumours had worse prognosis than luminal-like tumours in patients with stage II and, especially, stages III and IV (Fig. 2b).
Table 2
Characteristics of the tumour and their association with survival
Variable
Category
N (%)
Hazard ratio (95% CI)*
p
Histology
Ductal
1276 (75.73)
1 (ref)
 
Lobular
110 (6.53)
1.12 (0.68 to 1.83)
0.666
Other
299 (17.74)
0.44 (0.26 to 0.72)
0.001
Tumour size
T1
876 (51.99)
1 (ref)
 
T2
424 (25.16)
1.62 (1.04 to 2.52)
0.031
T3
73 (4.33)
2.04 (1.13 to 3.68)
0.018
T4
39 (2.31)
1.96 (0.98 to 3.91)
0.056
Tis
109 (6.47)
0.14 (0.02 to 0.91)
0.04
Missing
141 (8.37)
1.12 (0.61 to 2.06)
0.718
Node infiltration
N0
877 (52.05)
1 (ref)
 
N1
441 (26.17)
1.16 (0.76 to 1.78)
0.481
N2
142 (8.43)
1.17 (0.58 to 2.36)
0.651
N3
49 (2.91)
1.73 (0.81 to 3.72)
0.158
Missing
176 (10.45)
1.15 (0.65 to 2.03)
0.641
Tumour stage
0
112 (6.65)
0.68 (0.26 to 1.81)
0.444
I
594 (35.25)
1 (ref)
 
II
498 (29.55)
2.30 (1.46 to 3.61)
 > 0.001
III
187 (11.10)
4.23 (2.60 to 6.88)
 > 0.001
IV
42 (2.49)
29.5 (16.9 to 51.6)
 > 0.001
Oestrogen receptor
Positive
1398 (82.97)
1 (ref)
 
Negative
244 (14.48)
2.31 (1.65 to 3.23)
 > 0.001
Progesterone receptor
Positive
1237 (73.41)
1 (ref)
 
Negative
401 (23.80)
2.13 (1.58 to 2.87)
 > 0.001
Her2
Negative
1250 (74.18)
1 (ref)
 
Positive
294 (17.45)
0.79 (0.55 to 1.14)
0.209
Intrinsic subtype
Luminal A
997 (59.17)
1 (ref)
 
Luminal B
331 (19.64)
1.16 (0.81 to 1.66)
0.429
Her2
81 (4.81)
1.50 (0.87 to 2.59)
0.143
Basal-like
130 (7.72)
3.50 (2.31 to 5.30)
 > 0.001
Luminal ONI
91 (5.40)
0.20 (0.05 to 0.82)
0.026
Grade
I: Well differentiated
329 (19.53)
1 (ref)
 
II: Moderately differentiated
520 (30.86)
1.48 (0.86 to 2.54)
0.157
III: Bad differentiated
355 (21.07)
2.42 (1.41 to 4.17)
0.001
missing
481 (28.55)
2.31 (1.27 to 4.18)
0.006
Hazard ratios and 95% confidence intervals estimated via Weibull regression
*Hazard ratios adjusted for age, hospital, stage and grade
ONI otherwise not identified

Pathologic prognostic score in women without neoadjuvant therapy

Figure 3 displays the association between the AJCC- Pathologic Prognostic Score and overall survival in women without neoadjuvant therapy. Hazard ratios stepped up as the score rose, being 2.31, 4.00, 4.94, 7.92, 2.26, 14.9 and 58.9 for scores IB, IIA, IIB, IIIA, IIIB, IIIC and IV, respectively. These results are somewhat limited because of their wide confidence intervals. This information appears stratified by menopausal status in supplementary material, where hazard ratios increased faster in premenopausal women (Supplementary Table 2).

First-line treatment for patients

Table 3 shows the characteristics of the treatment. Conservative surgery was performed in 1231 (73.1%) patients and mastectomy in the remaining 454 (26.9%). Surgical margins were negative in 66% patients. Radiotherapy was used in 1158 women (68.7%), while adjuvant or neoadjuvant chemotherapy was administered to 50.13% patients. Adjuvant or neoadjuvant hormone therapy was used in 1023 women (60.7%), immunotherapy in 11.1% and Her2-targeted therapy in 152 patients (9.0%).
Table 3
First-line treatment and relative survival probability 3, 5 and 8 years after diagnosis
Variable
Category
N (%)
3-year
5-year
8-year
Survival (95% CI)
Survival (95% CI)
Survival (95% CI)
Surgery
Conservative
1231 (73.06)
98 (97–99)
95 (94–97)
93 (91–95)
 
Mastectomy
454 (26.94)
94 (91–97)
89 (86–92)
87 (82–91)
Surgical margins
Negative
1104 (65.52)
98 (97–99)
95 (93–97)
94 (91–96)
 
Positive
244 (14.48)
100 (97–101)
98 (94–100)
95 (89–98)
 
missing
337 (20.00)
92 (88–95)
87 (82–90)
82 (76–87)
Chemotherapy
No
817 (48.49)
98 (97–100)
96 (94–98)
95 (91–97)
 
Neoadjuvant
180 (10.68)
95 (90–97)
87 (81–92)
83 (76–88)
 
Adjuvant
663 (39.35)
99 (97–100)
96 (94–98)
93 (90–96)
 
Palliative
25 (1.48)
40 (21–59)
16 (5–33)
 
Radiotherapy
No
334 (22.45)
95 (92–98)
91 (87–95)
88 (81–93)
 
Neoadjuvant
5 (0.34)
61 (13–89)
21 (1–60)
 
 
Adjuvant
1128 (75.81)
100 (99–100)
97 (96–98)
95 (93–97)
 
Palliative
21 (1.41)
31 (13–52)
16 (4–35)
 
Immunotherapy
No
1498 (88.90)
98 (97–99)
95 (93–96)
93 (90–95)
 
Neoadjuvant
27 (1.60)
90 (70–97)
75 (54–88)
67 (45–83)
 
Adjuvant
144 (8.55)
98 (94–100)
95 (89–98)
92 (85–97)
 
Palliative
16 (0.95)
41 (17–64)
28 (9–51)
 
Endocrine therapy
No
662 (39.29)
94 (91–96)
90 (87–92)
86 (82–90)
 
Neoadjuvant
19 (1.13)
103 (103–103)
76 (48–93)
72 (40–94)
 
Adjuvant
985 (58.46)
100 (99–101)
98 (97–99)
97 (94–99)
 
Palliative
19 (1.13)
61 (35–80)
26 (9–49)
 
Hazard ratios on association between survival and first-line treatment are displayed in Table 4. Type of surgery (mastectomy/conservative surgery) and surgical margins were not associated with survival. Among systemic treatments, adjuvant therapy (whether chemo-, radio- or hormone-therapy) was associated with lower mortality and both neoadjuvant and palliative treatment were associated with worse prognosis (Table 4).
Table 4
First-line treatment and their association with survival
Variable
Category
N (%)
Hazard ratio (95% CI) *
p
Surgery
Conservative
1231 (73.06)
1 (ref)
 
 
Mastectomy
454 (26.94)
0.83 (0.56 to 1.22)
0.339
Surgical margins
Negative
1104 (65.52)
1 (ref)
 
 
Positive
244 (14.48)
0.84 (0.50 to 1.42)
0.518
 
Missing
337 (20.00)
1.03 (0.67 to 1.56)
0.905
Chemotherapy
No
817 (48.49)
1 (ref)
 
 
Neoadjuvant
180 (10.68)
1.18 (0.72 to 1.91)
0.514
 
Adjuvant
663 (39.35)
0.60 (0.40 to 0.89)
0.010
 
Palliative
25 (1.48)
8.44 (4.61 to 15.4)
 < 0.001
Radiotherapy
No
334 (22.45)
1 (ref)
 
 
Neoadjuvant
5 (0.34)
6.05 (1.88 to 19.5)
0.003
 
Adjuvant
1128 (75.81)
0.44 (0.30 to 0.65)
 < 0.001
 
Palliative
21 (1.41)
5.31 (2.57 to 11.0)
 < 0.001
Immunotherapy
No
1498 (88.90)
1 (ref)
 
 
Neoadjuvant
27 (1.60)
1.79 (0.87 to 3.67)
0.113
 
Adjuvant
144 (8.55)
0.83 (0.48 to 1.44)
0.518
 
Palliative
16 (0.95)
5.22 (2.57 to 10.6)
 < 0.001
Endocrine therapy
No
662 (39.29)
1 (ref)
 
 
Neoadjuvant
19 (1.13)
1.17 (0.50 to 2.76)
0.719
 
Adjuvant
985 (58.46)
0.51 (0.37 to 0.71)
 < 0.001
 
Palliative
19 (1.13)
2.18 (1.05 to 4.56)
0.037
Hazard ratios and 95% confidence intervals estimated via Weibull regression
*Hazard ratios adjusted for age, hospital, stage and grade

Discussion

In spite of recent improvements in breast cancer systemic therapy, our results confirm that tumour stage and grading are major prognosis factors regarding overall survival with breast cancer. Among components of TNM staging system, tumour size greater than 50 mm (i.e. T3 or T4) more than doubled the risk of dying, while N3 nodal involvement and presence of metastasis had a huge effect on mortality. The pathological prognostic score suggested by the AJCC in 2017 combining anatomic characteristics (i.e. TNM staging) with biological characteristics (i.e. grading and hormonal/Her2 receptors) strongly correlated with survival.
TNM staging has largely been the main factor regarding survival with breast cancer, which led the AJCC to suggest its Anatomic Stage Groups [11]. Our results on TNM components are consistent with recent studies still proving that TNM classification is a main contributor to survival [10, 2325]. For instance, a large study with data from Netherlands Cancer Registry reported hazard ratios over 2.5 for T3 or T4 tumours and 4.0 for N3 tumours in women diagnosed between 2006 and 2012. These hazard ratios were similar to those obtained in the same registry for women diagnosed between 1999 and 2005 [10], which reinforces TNM staging relevance for survival has not changed with recent treatment improvements, thus strengthening the importance of early diagnosis.
Recent developments, however, have focused on tumour biology, making the identification of breast cancer subtypes via differentiation grade or presence of hormonal and Her2/neu receptors possible, heading to specific therapies according to tumour histological and molecular characteristics [6, 2628]. Our results also confirmed higher survival for women with breast cancer positive to either oestrogen or progesterone receptors and negative to HER2 receptors, as well as worsening prognostic as grading increased from well to poorly differentiated tumour. In this regard, the new AJCC Pathological Prognostic Score [11] has been suggested by combining both anatomic staging and biological markers, thus refining the previous AJCC Anatomic Stage Groups [12], which is now intended only for regions were biological markers are not routinely available [11]. In our cohort, the AJCC Pathological Prognostic Score had large prognostic value with hazard ratios swiftly rising as the Pathological Prognostic Score increased. In addition, this score presents a higher predictive ability in premenopausal women. This can be explained by (i) the rate at which the cancer develops—tumours could be faster and receive poorer prognosis in premenopausal women—and (ii) the fact that a younger woman, i.e. premenopausal, with breast cancer is more likely to die because of the tumour itself, as opposed to postmenopausal women, who have more chances to die due to other causes. Of note, the analysis of Pathological Prognostic Score should have been restricted to women without neoadjuvant therapy as this score is based on the pathological TNM staging, which is obtained after surgery.
Adjuvant chemotherapy, radiotherapy or endocrine therapy was associated with better prognosis in our cohort, which agrees with previous reports [4, 2931]. Neoadjuvant therapy, however, was associated with lower survival. Results on systemic therapy—survival relationship cannot be straight forwardly interpreted as, even after adjusting for stage and grade, there is still room for confounding by indication as women with more severe cancer are more likely treated with more aggressive therapies. For instance, neoadjuvant therapy is not usually recommended for low proliferating cancers and hormone receptor-positive, HER2-negative, grading I–II cancers [26]; therefore, its high hazard ratios could be due to residual confounding as it is frequently indicated in cancers with worse prognostic.
Our study has some limitations. Firstly, the sample size—although enough for general results—is small for studying specific subgroups or interactions. Secondly, basal information was obtained from medical records, which could have partial information on some variables, leading to some amount of missing data. On this subject, it is noteworthy that missing categories did not follow a clear pattern in our results as missing data in TNM components behaved almost as the reference category (i.e. good prognostic), while missing data in grading performed as poorly differentiated tumours. Therefore, it is not possible for us to attribute any data omission in medical records to its irrelevance. Thirdly, our sample could be biased towards cancers with better prognostic as women with advanced disease could have refused to participate, thus underrepresenting women in stage IV; had this occurred, it could have overestimated relative survival; however, this problem should have not biased hazard ratios estimates. Finally, the multicentric design of our study is both a limitation and a strength. A limitation as routine clinical practice could vary from hospital to hospital, eventually increasing random variation; we dealt with this problem by adjusting all our analyses for hospital. Nevertheless, it is also a strength as it obtained a fair representation of usual clinical practice in Spain about 2008–2013. An additional strength is the active prospective follow-up, carried out via three complementary sources: medical records, phone calls to the patient and National Death Index consultation.

Conclusions

In conclusion, both TNM staging and histological/molecular biomarkers are associated with overall survival in Spanish women with breast cancer; when both are combined in the AJCC Pathological Prognostic Score, its prognostic value vastly improved in women without neoadjuvant therapy.

Acknowledgements

The authors thank all patients and families for their participation in the MCC-Spain study, as well as all study centres and collaborators.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Research involving human and animal rights

This article does not contain any studies with animals performed by any of the authors.
The protocol of MCC-Spain was approved by the Ethics committees of the participating institutions [16] At recruitment, all participants were informed about the study objectives and signed an informed consent, which also included the authorization for following up the patient via medical records or phone calls; only participants agreeing in being followed up were included in the inception cohorts. Confidentiality of data is secured by removing personal identifiers in the datasets. The database was registered in the Spanish Agency for Data Protection, number 2102672171. Permission to use the study database will be granted to researchers outside the study group after revision and approval of each request by the Steering Committee.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Unsere Produktempfehlungen

e.Med Interdisziplinär

Kombi-Abonnement

Für Ihren Erfolg in Klinik und Praxis - Die beste Hilfe in Ihrem Arbeitsalltag

Mit e.Med Interdisziplinär erhalten Sie Zugang zu allen CME-Fortbildungen und Fachzeitschriften auf SpringerMedizin.de.

e.Med Gynäkologie

Kombi-Abonnement

Mit e.Med Gynäkologie erhalten Sie Zugang zu CME-Fortbildungen der beiden Fachgebiete, den Premium-Inhalten der Fachzeitschriften, inklusive einer gedruckten gynäkologischen oder urologischen Zeitschrift Ihrer Wahl.

Literatur
4.
Zurück zum Zitat Clarke M, Collins R, Darby S, et al (2005) Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Centre for Reviews and Dissemination (UK) Clarke M, Collins R, Darby S, et al (2005) Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials. Centre for Reviews and Dissemination (UK)
6.
Zurück zum Zitat Goldhirsch A, Winer EP, Coates AS et al (2013) Personalizing the treatment of women with early breast cancer: highlights of the St gallen international expert consensus on the primary therapy of early breast cancer 2013. Ann Oncol Off J Eur Soc Med Oncol 24:2206–2223. https://doi.org/10.1093/annonc/mdt303 CrossRef Goldhirsch A, Winer EP, Coates AS et al (2013) Personalizing the treatment of women with early breast cancer: highlights of the St gallen international expert consensus on the primary therapy of early breast cancer 2013. Ann Oncol Off J Eur Soc Med Oncol 24:2206–2223. https://​doi.​org/​10.​1093/​annonc/​mdt303 CrossRef
13.
Zurück zum Zitat Ibis K, Ozkurt S, Kucucuk S et al (2018) Comparison of Pathological Prognostic Stage and Anatomic Stage Groups According to the Updated Version of the American Joint Committee on Cancer (AJCC) breast cancer staging 8th edition. Med Sci Monit Int Med J Exp Clin Res 24:3637–3643. https://doi.org/10.12659/MSM.911022 CrossRef Ibis K, Ozkurt S, Kucucuk S et al (2018) Comparison of Pathological Prognostic Stage and Anatomic Stage Groups According to the Updated Version of the American Joint Committee on Cancer (AJCC) breast cancer staging 8th edition. Med Sci Monit Int Med J Exp Clin Res 24:3637–3643. https://​doi.​org/​10.​12659/​MSM.​911022 CrossRef
20.
Zurück zum Zitat Davis BW, Gelber RD, Goldhirsch A et al (1986) Prognostic significance of tumor grade in clinical trials of adjuvant therapy for breast cancer with axillary lymph node metastasis. Cancer 58:2662–2670CrossRefPubMed Davis BW, Gelber RD, Goldhirsch A et al (1986) Prognostic significance of tumor grade in clinical trials of adjuvant therapy for breast cancer with axillary lymph node metastasis. Cancer 58:2662–2670CrossRefPubMed
21.
Zurück zum Zitat Navarro C (2006) The national death index: a largely expected advance in the access to mortality data. Gac Sanit 20:421–423CrossRefPubMed Navarro C (2006) The national death index: a largely expected advance in the access to mortality data. Gac Sanit 20:421–423CrossRefPubMed
27.
Zurück zum Zitat Coates AS, Winer EP, Goldhirsch A et al (2015) Tailoring therapies–improving the management of early breast cancer: St. gallen international expert consensus on the primary therapy of early breast cancer 2015. Ann Oncol Off J Eur Soc Med Oncol 26:1533–1546. https://doi.org/10.1093/annonc/mdv221 CrossRef Coates AS, Winer EP, Goldhirsch A et al (2015) Tailoring therapies–improving the management of early breast cancer: St. gallen international expert consensus on the primary therapy of early breast cancer 2015. Ann Oncol Off J Eur Soc Med Oncol 26:1533–1546. https://​doi.​org/​10.​1093/​annonc/​mdv221 CrossRef
29.
Zurück zum Zitat Martinez FJ, Calverley PM, Goehring UM, Brose M, Fabbri LM, Rabe KF (2011) Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials. Lancet 378:1707–1716. https://doi.org/10.1016/S0140-6736(11)61629-2 CrossRef Martinez FJ, Calverley PM, Goehring UM, Brose M, Fabbri LM, Rabe KF (2011) Effect of radiotherapy after breast-conserving surgery on 10-year recurrence and 15-year breast cancer death: meta-analysis of individual patient data for 10 801 women in 17 randomised trials. Lancet 378:1707–1716. https://​doi.​org/​10.​1016/​S0140-6736(11)61629-2 CrossRef
30.
Zurück zum Zitat Bergh J, Jönsson PE, Glimelius B et al (2001) A systematic overview of chemotherapy effects in breast cancer. Acta Oncol Stockh Swed 40:253–281CrossRef Bergh J, Jönsson PE, Glimelius B et al (2001) A systematic overview of chemotherapy effects in breast cancer. Acta Oncol Stockh Swed 40:253–281CrossRef
Metadaten
Titel
Tumour characteristics and survivorship in a cohort of breast cancer: the MCC-Spain study
verfasst von
Inés Gómez-Acebo
Trinidad Dierssen-Sotos
Camilo Palazuelos-Calderón
Beatriz Pérez-Gómez
Pilar Amiano
Marcela Guevara
Antonio J. Molina
Laia Domingo
María Fernández-Ortiz
Victor Moreno
Juan Alguacil
Guillermo Fernández-Tardón
Josefa Ibáñez
Rafael Marcos-Gragera
Marian Diaz-Santos
M. Henar Alonso
Jessica Alonso-Molero
Gemma Castaño-Vinyals
Andrés García Palomo
Eva Ardanaz
Amaia Molinuevo
Nuria Aragonés
Manolis Kogevinas
Marina Pollán
Javier Llorca
Publikationsdatum
30.04.2020
Verlag
Springer US
Erschienen in
Breast Cancer Research and Treatment / Ausgabe 3/2020
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-020-05600-x

Weitere Artikel der Ausgabe 3/2020

Breast Cancer Research and Treatment 3/2020 Zur Ausgabe

Update Onkologie

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