Skip to main content
Springer logoLink to Springer
. 2016 Jun 18;158:179–187. doi: 10.1007/s10549-016-3862-4

Extent of ductal carcinoma in situ according to breast cancer subtypes: a population-based cohort study

Shusma C Doebar 1,, Esther C van den Broek 2, Linetta B Koppert 3, Agnes Jager 4, Margreet H A Baaijens 5, Inge-Marie A M Obdeijn 6, Carolien H M van Deurzen 1
PMCID: PMC4937080  PMID: 27318854

Abstract

Ductal carcinoma in situ (DCIS) is a precursor of invasive breast carcinoma (IBC). The DCIS component is often more extensive than the invasive component, which affects local control. The aim of our study was to analyze features of DCIS within different IBC subtypes, which may contribute to the optimization of personalized approaches for patients with IBC. Patients with IBC reported according to the synoptic reporting module in the Netherlands between 2009 and 2015 were included. Data extraction included characteristics of the invasive component and, if present, several features of the DCIS component. Resection margin status analyses were restricted to patients undergoing breast-conserving surgery (BCS). Differences between subtypes were tested by a Chi-square test, spearman’s Rho test or a one-way ANOVA test. Overall, 36.937 cases of IBC were included. About half of the IBCs (n = 16.014; 43.4 %) were associated with DCIS. Her2+ IBC (irrespective of ER status) was associated with a higher prevalence of adjacent DCIS, a larger extent of DCIS and a higher rate of irradicality of the DCIS component as compared to ER+/Her2− and triple-negative subtypes (P < 0.0001 for all variables). The prevalence of DCIS in triple-negative IBC on the other hand was lowest. In this large population-based cohort study, we showed significant differences between the prevalence and extent of DCIS according to IBC subtypes, which is also reflected in the resection margin status in patients treated with BCS. Our data provide important information regarding the optimization of local therapy according to IBC subtypes.

Keywords: Breast cancer subtypes, Ductal carcinoma in situ, Prevalence

Introduction

Invasive breast cancer (IBC) is a heterogeneous disease which can be categorized into several histologic or intrinsic subtypes that differ in their biological behavior and clinical outcome [13]. Intrinsic subtypes are most precisely categorized based on multigene expression assays, although each subtype has an immunohistochemical surrogate based on ER, PR, Her2, and Ki-67 index [47]. Ductal carcinoma in situ (DCIS) is seen as a nonobligate precursor of invasive ductal carcinoma (IDC). In the last decades, the detection rate of DCIS increased markedly in the age group of 50–75 years, as a result of the increased use and improved resolution of mammographic mass screening [8, 9]. Synchronous DCIS and adjacent IDC show a high degree of concordance regarding morphology and genetic profiles [1015]. The concordance of receptor expression of ER, PR, and Her2 in DCIS and coexisting IDC is high, with 92 % for ER, 93–97 % for PR, and about 98–100 % for Her2 [1012].

Data regarding the process of progression of DCIS to IBC is limited. Several studies reported frequencies of pure DCIS subtypes based on immunohistochemical surrogates originally described for IBC [5, 13, 14, 16]. In these pure DCIS studies, the distribution of subtypes differs from studies including IBC. In pure DCIS studies, frequencies of Her2−positive subtypes are higher as compared to reported frequencies in IBC; about 15–32 % of pure DCIS cases are Her2 positive, while this frequency is lower in IBC, about 6–14 % [5, 13, 14, 1618]. Reported frequencies of triple-negative pure DCIS on the other hand are lower than reported frequencies in IBC, 6–8 % in pure DCIS versus 11–13 % in IBC [5, 13, 14, 16, 17]. Regarding the Luminal A and Luminal B subgroups, the reported frequencies for pure DCIS and IBC are overlapping (38–63 % in pure DCIS versus 38–73 % in IBC for luminal A and 7–28 % in pure DCIS versus 5–26 % in IBC for luminal B) [5, 13, 14, 16, 17, 19]. Based on these prevalences, a mathematical, hypothetical model has been built, suggesting different speeds of progression according to breast cancer subtypes [20]. This model suggests that Her2+ DCIS has the slowest progression to IBC, while triple-negative DCIS has the fastest progression.

Since the last decades, the proportion of patients undergoing mastectomy decreased and the majority of patients with localized DCIS are treated with breast-conserving surgery (BCS), followed by breast irradiation [21]. Overall, the local recurrence rate (LRR) for patients with DCIS treated with BCS followed by breast irradiation is about 10–17 % within the first 15 years after treatment, of which 50 % concerns IBC [2224]. Recent studies reported that DCIS subtype was an independent predictor for ipsilateral recurrence after treatment by breast surgery alone (BCS or mastectomy) or breast surgery followed by breast irradiation [2528]. The overall LRR in patients with pure DCIS was the highest in Her2-positive and luminal B subgroups (10–48 % and 25–42 % recurring within 10 years of follow-up, respectively) and the lowest in the luminal A subgroup (9–21 %) [2527]. Regarding triple-negative DCIS, no firm conclusion could be drawn from the reported LRRs due to limited numbers of patients. Nevertheless, based on LRRs per subtype, Her2-positive DCIS seems to have an increased risk for LR after breast surgery as compared to Her2-negative DCIS. In line with this, the highest LRR was also observed for Her2−positive IBC following breast surgery and irradiation (LRR of 8–21 % within 10 years of follow-up), as compared to Luminal A and Luminal B type IBC (LRR 1–8 % and 2–10 % respectively) [2931]. These data suggest that adjustment of current treatment guidelines according to breast cancer subtypes, e.g., aggressive local therapy restricted to patients with a high LRR, could result in reduction of complications and costs for low risk patients.

Subtyping of DCIS has the potential to study progression-related features and to identify patients at high risk for LR. However, in daily practice, pure DCIS cases are not routinely analyzed for ER, PR and Her2 status, which limits the opportunity for large-scale retrospective studies. Patients with IBC on the other hand are routinely studied for ER, PR, and Her2 status. This provides the opportunity to indirectly assess adjacent DCIS features, which, as mentioned above, share receptor expression pattern in the vast majority of cases. The aim of this study was to analyze features of DCIS within different IBC subtypes, including the resection margin status in patients treated with BCS, which may contribute to the optimization of personalized approaches for patients with IBC.

Patients and methods

Data acquisition

In the Netherlands, all pathology reports are archived in the Dutch Pathology Registry (PALGA) [32]. Since 2009, synoptic reporting modules for reporting several common tumor types including breast cancer became available. In these modules, the parameters are captured in numerous variables instead of free text fields. This offers the unique opportunity to analyze all reports created with the module simultaneously.

Patient and tumor characteristics

For this study, we included all patients with IBC reported according to the protocol module in the Netherlands between January 1, 2009 and September 1, 2015 (n = 36.937 cases). Patients with missing ER, PR, and/or Her2 status; pure DCIS; and patients with IBC after previous treatment (irradical resection, neoadjuvant therapy) were excluded. Patients with bilateral IBC were included as two cases. In case of multiple IBCs in one breast, the largest IBC was included for analysis of tumor characteristics, except for resection margin status, which was assessed for all tumors.

Clinicopathologic characteristics included age, type of surgical procedure (BCS or mastectomy), tumor size (≤2 cm, >2 to ≤5 cm or >5 cm), histological type (according to WHO), grade (according to the modified Bloom and Richardson grading system) [33], ER status, PR status, Her2 status, presence of angioinvasion, presence of DCIS, and nodal status. ER status and PR status were defined as positive in case more than 10 % of the cancer cells that showed nuclear staining, irrespective of density, according to the Dutch Guideline for breast cancer treatment [34]. Her2 status was scored according to the international guidelines [35]. Based on immunohistochemistry, tumors were divided according to the surrogate definitions of intrinsic subtypes as reported in the St Gallen International Expert Consensus 2013 [36]. Low PR expression was defined as ≤20 % [37]. However, the absence of information regarding Ki-67 indexes in our dataset limited the ability to differentiate between Luminal A and Luminal B (Her2−) subtypes, so based on the available information, our cases were subtyped according to the following 5 categories:

  1. ER+/PR high/Her2−,

  2. ER+/PR− or low/Her2−,

  3. ER+/Her2+,

  4. ER−/PR−/Her2+, and

  5. ER−/PR−/Her2−.

In case DCIS was present, the following features were documented: relation to the invasive component (restricted to invasive component or not), diameter, nuclear grade, and presence of microcalcifications [38]. The overall resection margin status was reported, as well as the margin for both the invasive component and the DCIS component as either free, focally irradical, or more than focally irradical, according to the Dutch Guideline for Breast Cancer Treatment [34]. Focally irradical is defined as tumor (either invasive or DCIS) reaching the ink in a small area (≤4 mm). In case the tumor (either invasive or DCIS) reaches the ink in a larger area or multiple smaller areas, it is defined as more than focally irradical. This distinction has important clinical consequences in the Netherlands, since patients with a focally positive resection margin of IBC or adjacent DCIS do not undergo second surgery (since radiation with a boost dose results in adequate local control), while patients with a more than focally positive resection margin undergo reexcision, according to the Dutch Guideline for Breast Cancer Treatment 2002 [39]. However, these definitions are not applied in most other European and North American countries [40]. Therefore, in this study, we use the term irradicality to describe either focally or more than focally irradical resection margins.

Statistical analysis

Differences between IBC subtypes were tested by means of a Chi-square test (categorical variables) or a one-way ANOVA (continuous variables). Missing values are included in the tables but excluded in the analyses.

Furthermore, the correlation between grade of the invasive component and the DCIS component was tested with Chi-square. The correlation between the extent of the DCIS component and resection margin status of the DCIS component was tested with a spearman’s correlation coefficient. All analyses were performed with SAS Enterprise Guide 7.1.

Results

Baseline characteristics

Overall, we included 36.937 consecutive cases of IBC reported between January 1, 2009 and September 1, 2015. The median age of our patient cohort was 62 years (range 18–100). The majority of patients (60.4 %) underwent BCS. Table 1 provides an overview of clinicopathologic data of all patients. About half of the IBCs (n = 16.014; 43.4 %) were associated with DCIS, either restricted within or outside the invasive component (45.3 and 54.7 %, respectively).

Table 1.

Baseline characteristics of all patients with IBC (n = 36937)

Characteristic N (%)
Age at diagnosis, years, mean, median (range) Mean: 61.0
Median: 62.0 (18–100)
Type of surgery
 Breast-conserving surgery 22,328 60.45
 Mastectomy 14,609 39.55
Histologic tumor type
 Ductal 29,630 80.22
 Lobular 4703 12.73
 Other 2604 7.05
Tumor size
 ≤2 cm 24,359 65.95
 >2 to ≤5 cm 11,117 30.10
 >5 cm 1461 3.96
Tumor grade
 1 8622 27.13
 2 14,894 46.86
 3 8266 26.01
 Missing 5155
ER status
 Positive 31,662 85.72
 Negative 5275 14.28
PR status
 Positive 25,400 68.77
 Negative 11,487 31.10
Her2 status
 Positive 4140 11.21
 Negative 32,797 88.79
Multiple invasive tumors
 Yes 2650 8.63
 No 28,051 91.37
 Missing 6236
Angioinvasion
 Yes 3715 14.03
 No 22,773 85.97
 Missing 10,449
Presence of DCIS component
 Yes 16,014 43.35
 No 20,923 56.65
Overall resection margin status (invasive component and/or DCIS component)a
 Free 18,552 83.09
 Focally irradical 2286 10.24
 More than focally irradical 1490 6.67
Resection margin status of invasive component onlya
 Free 19,755 88.48
 Focally irradical 1621 7.26
 More than focally irradical 952 4.26
Nodal status
 Negative 11,428 60.22
 Positive 7550 39.78
 Missing 17,959

aAnalysis restricted to patients with BCS (n = 22328)

Table 2 provides details of all patients with IBC and adjacent DCIS. Overall, there was a strong correlation between grade of the DCIS component and grade of the invasive component (p < 0.0001, Chi-square test). Both the extent of DCIS and DCIS extending beyond the invasive component correlated with irradicality of the DCIS component (spearman’s rho = 0.3, p < 0.0001 and P < 0.0001, Chi-square test, respectively). The frequency of multiple IBCs was significantly higher in IBC cases with adjacent DCIS (10.2 %) as compared to IBC cases without adjacent DCIS (7.4 %) (p < 0.0001, Chi-square test).

Table 2.

DCIS characteristics of all patients with IBC and adjacent DCIS (n = 16014)

Characteristic N (%)
DCIS grade
 1 2598 16.33
 2 7896 49.64
 3 5414 34.03
 Missing 106
DCIS restricted to invasive component
 Yes 4452 45.29
 No 5377 54.71
 Missing 6185
Diameter of DCIS, cm, mean, median (range) Mean: 2.08
Median: 1.50 (0–20)
Presence of DCIS-associated microcalcifications
 Yes 4400 49.97
 No 4406 50.03
 Missing 7208
Resection margin status of DCIS component onlya
 Free 8323 83.67
 Focally irradical 1168 11.74
 More than focally irradical 456 4.58
 Missing 34

aAnalysis restricted to patients with BCS (n = 9981)

Clinicopathologic features according to breast cancer subtypes

Based on immunohistochemical stainings, IBCs were categorized into the following 5 categories: ER+/PR high/Her2− (n = 21315; 57.7 %), ER+/PR− or low/Her2− (n = 7541; 20.4 %), ER+/Her2+ (n = 2806; 7.6 %), ER−/PR−/Her2+ (n = 1334; 3.6 %), or ER−/PR−/Her2− (n = 3941; 10.7 %). Table 3 provides an overview of patient and tumor characteristics according to different IBC subtypes.

Table 3.

Clinicopathologic characteristics according to different subtypes of IBC (n = 36937)

Characteristic ER+, PR high, Her2−
(n = 21315)
ER+, PR− or low
Her2−
(n = 7541)
ER+, Any PR,
Her2+
(n = 2806)
ER−, PR−,
Her2+
(n = 1334)
ER−, PR−,
Her2−
(n = 3941)
P-value
Age at diagnosis, years, mean, median and range Mean: 61.1
Median: 62
Range: 18–99
Mean: 63.4
Median: 64
Range: 21–97
Mean: 57.6
Median: 57
Range: 19–100
Mean: 59.3
Median: 59 Range: 24–97
Mean: 59.0;
Median: 59
Range: 22–98
<0.0001
Type of surgery, no (%) <0.0001
 Breast-conserving surgery 13,507 63.37 4476 59.36 1514 53.96 599 44.90 2232 56.64
 Mastectomy 7808 36.63 3065 40.64 1292 46.04 735 55.10 1709 43.36
Tumor type, no (%) <0.0001
 Ductal 16,695 78.33 5753 76.29 2548 90.81 1255 94.08 3379 85.74
 Lobular 3130 14.68 1319 17.49 147 5.24 20 1.50 87 2.21
 Other 1490 6.99 469 6.22 111 3.96 59 4.42 475 12.05
Tumor size, no (%) <0.0001
 ≤2 cm 14,849 69.66 4931 65.39 1719 61.26 729 54.65 2131 54.07
 >2 to ≤5 cm 5771 27.07 2267 30.06 964 34.35 528 39.58 1587 40.27
 >5 cm 695 3.26 343 4.55 123 4.38 77 5.77 223 5.66
Tumor grade, no (%) <0.0001
 1 6513 35.17 1786 27.41 203 8.63 29 2.62 91 2.77
 2 9559 51.62 3379 51.86 1018 43.28 273 24.66 665 20.21
 3 2445 13.20 1351 20.73 1131 48.09 805 72.72 2534 77.02
 Missing 2798 1025 454 227 651
Multiple invasive tumors, no (%) <0.0001
 Yes 1624 9.02 510 8.25 216 9.45 106 9.97 194 5.97
 No 16,296 90.94 5671 91.75 2070 90.55 957 90.03 3057 94.03
 Missing 3395 1360 520 271 690
Angioinvasion, no (%) <0.0001
 Yes 1734 11.20 727 13.46 427 21.72 267 29.28 560 20.52
 No 13,747 88.80 4673 86.54 1539 78.28 645 70.72 2169 79.48
 Missing 5834 2141 840 422 1212
Overall resection margin status (invasive and/or DCIS component)a <0.0001
 Free 11,243 83.24 3676 82.13 1205 79.59 459 76.63 1969 88.22
 Focally irradical 1366 10.11 492 10.99 178 11.76 92 15.36 158 7.08
 More than focally irradical 898 6.65 308 6.88 131 8.65 48 8.01 105 4.70
Resection margin status of invasive componenta, no (%) <0.0001
 Free 11,879 87.95 3910 87.35 1344 88.77 540 90.15 2082 93.28
 Focally irradical 1028 7.61 356 7.95 112 7.40 41 6.84 84 3.76
 More than focally irradical 600 4.44 210 4.69 58 3.83 18 3.01 66 2.96
Nodal status, no (%) <0.0001
 Negative 6717 62.17 2293 59.19 774 53.20 359 47.61 1285 61.45
 Positive 4087 37.83 1581 40.81 681 46.80 395 52.39 806 38.55
 Missing 10,511 3667 1351 580 1850

aAnalysis restricted to patients with BCS (n = 22328)

Overall, regarding the invasive component, the ER−/Her2+ and triple-negative subgroups showed the most aggressive biological features. The ER+/Her2− subgroups showed the most favorable biological features while the ER+/Her2+ subgroup showed intermediate results. Regarding the ER+/Her2− subgroups, the presence of a high PR expression was associated with more favorable tumor characteristics as compared to those cases with absence or low PR expression.

In general, patients with Her2+ (irrespective of ER status) and triple-negative IBC were younger as compared to patients with ER+/Her2− IBC (P < 0.0001). Besides, median tumor size of these subtypes was larger (P < 0.0001), which was in line with the higher proportion of patients undergoing a mastectomy (P < 0.0001). Histologically, these tumors were more often of ductal type (p < 0.0001) and of higher grade (P < 0.0001). The frequency of angioinvasion and nodal involvement was highest in the ER−/Her2+ subgroup (P < 0.0001).

There was a strong correlation between the presence of DCIS and breast cancer subtype (P < 0.0001). Table 4 provides an overview of all DCIS characteristics according to different subtypes of IBC. DCIS was most often present adjacent to IBCs with overexpression of Her2 (irrespective of ER status) with a frequency of 59.1 % in the ER+/Her2+ subgroup and 57.4 % in the ER−/Her2+ subgroup. The frequency of a DCIS component was lowest in the triple-negative subgroup (34.1 %).

Table 4.

DCIS characteristics according to different subtypes of IBC (n = 16014)

Characteristic ER+, PR high, Her2−
(n = 21315)
ER+, PR− or low
Her2−
(n = 7541)
ER+, Any PR,
Her2+
(n = 2806)
ER−, PR−,
Her2+
(n = 1334)
ER−, PR−,
Her2−
(n = 3941)
P-value
Presence of DCIS, no (%) <0.0001
 Yes 9168 43.01 3078 40.82 1658 59.09 766 57.42 1344 34.10
 No 12,147 56.99 4463 59.18 1148 40.91 568 42.58 2597 65.90
DCIS grade, no (%) <0.0001
 1 1983 21.77 512 16.72 61 3.70 4 0.53 38 2.86
 2 5310 58.32 1613 52.66 572 34.73 106 13.93 294 21.11
 3 1813 19.91 938 30.62 1014 61.57 651 85.55 998 75.04
 Missing 61 15 11 5 14
Presence of DCIS-associated microcalcifications, no (%) <0.0001
 Yes 2464 48.21 876 52.02 512 59.26 240 60.91 308 40.90
 No 2647 51.79 808 47.98 352 40.74 154 39.09 445 59.10
 Missing 4057 1394 794 372 591
DCIS restricted to invasive component, no (%) <0.0001
 Yes 2774 48.52 823 43.82 383 39.24 127 29.13 345 41.97
 No 2943 51.48 1055 56.18 593 60.76 309 70.87 477 58.03
 Missing 3451 1200 682 330 522
Diameter of DCIS, cm, mean, median and range Mean: 1.9; Median: 1.4 Range: 0–20 Mean: 1.9; Median: 1.4 Range: 0–19 Mean: 2.6; Median: 2.0 Range: 0–20 Mean: 3.2; Median: 2.3 Range: 0–20 Mean: 2.1; Median: 1.5 Range: 0–15 <0.0001
Resection margin status of DCIS componenta
 Free 5103 85.33 1622 83.44 707 78.82 251 71.10 640 82.79 <0.0001
 Focally  irradical 640 10.70 245 12.60 127 14.16 73 20.68 83 10.74
 More than  focally  irradical 237 3.96 77 3.96 63 7.02 29 8.22 50 6.47
 Missing 22 5 2 0 5

aAnalysis restricted to patients with BCS and presence of DCIS

Besides a higher prevalence of DCIS in the Her2+ groups, DCIS was more often located outside the invasive component and the DCIS component was more extensive (P < 0.0001 for all variables). DCIS-associated microcalcifications were most often seen adjacent to Her2+ IBC, while the frequency was lowest in the triple-negative group (p < 0.0001).

Analysis of resection margin status was restricted to patients treated with BCS. Overall, the frequency of irradicality (of either the invasive or the DCIS component) was highest in the Her2+ subgroups and lowest in the triple-negative subgroup (P < 0.0001). Analysis of irradicality of the invasive component separately showed the highest frequency of irradicality in the ER+/Her2− subgroups and the lowest in the triple-negative subgroup (P < 0.0001). Analysis of irradicality of the DCIS component however showed another distribution as compared to the irradicality of the invasive component; the frequency of irradicality of the DCIS component was highest in the Her2+ subgroups (P < 0.0001).

Discussion

Our national registration system for pathology reporting provided a unique opportunity for this large-scale population-wide cohort study describing the presence and extent of DCIS according to breast cancer subtypes, in relation to other clinicopathologic features.

In our study, we showed substantial differences between immunohistochemical breast cancer subtypes regarding age, type of surgery, histology, tumor grade, and tumor size, which is consistent with literature [41, 42]. Briefly, Her2+ and triple-negative tumors are associated with younger age, larger size, and higher grade compared to luminal subtypes. However, on the other side of the spectrum, ER+/Her2− IBC showed the most favorable tumor characteristics, especially in the case of a high PR expression. This is in line with recent work of Prat et al. in which they concluded that the addition of a PR expression of more than 20 % adds prognostic value within the current immunohistochemical-based luminal A definition by improving the identification of IBCs with a good prognosis [37]. The ER+/Her2+ group seems to be an intermediate subgroup.

Regarding DCIS, we showed that Her2+ IBC is associated with a higher prevalence of adjacent DCIS and a larger extent of DCIS as compared to other IBC subtypes. In line with this, we reported a relatively high rate of irradicality of the DCIS component in Her2+ IBC. These findings are consistent with previous studies reporting a relatively high rate of Her2 positivity in pure DCIS cases, presence of extensive DCIS adjacent to Her2+ IBC, and a high LRR after BCS for Her2+ IBC [13, 29, 30, 42, 43]. Since the risk of an irradical resection is higher for IBCs that are associated with an extensive DCIS component as compared to those with a limited in situ component [41, 44], it seems likely that the DCIS component adjacent to Her2+ IBC is responsible for the high LRR. Therefore, preoperative knowledge regarding the extent of DCIS according to breast cancer subtypes may result in adjustment of local therapy and consequently local control. This may reduce undertreatment in those patients with a large DCIS component, including fewer secondary surgeries and local recurrences. On the other hand, it may result in less overtreatment in those patients with a low prevalence and/or limited extent of DCIS, e.g., by reduction of excision volume which affects cosmetic outcome. In recent years, there is an increased number of pathology laboratories performing the ER, PR, and Her2 status on preoperative needle biopsies on a routine basis, mainly as a result of the increased use of neoadjuvant treatment, which provides a better understanding of tumor growth patterns preoperatively. The presence of DCIS-associated microcalcifications adjacent to the majority of Her2+ IBCs, as shown in this study, may provide important preoperative information regarding imaging by mammography. Besides, since the DCIS component adjacent to Her2+ IBCs is mainly of high grade, a preoperative MRI could be beneficial for these patients, particularly for those without microcalcifications, since this imaging technique is considered to be the most sensitive modality in detecting the presence and extent of intermediate- and high-grade DCIS [45, 46].

According to our knowledge, our study includes the largest series of patients ever published regarding the presence and extent of DCIS adjacent to breast cancer subtypes, thanks to our national protocolled registration of breast cancer pathology reports. However, our study also has several weaknesses including the missing data regarding receptor expression of the DCIS component. However, since several studies reported a very high concordance (90–100 %) of ER, PR, and Her2 expression between DCIS and adjacent IBC, it is highly unlikely that this has affected our results. The second limitation is the lack of information regarding proliferation, because Ki-67 is not routinely performed in our pathology laboratories. This limited an accurate categorization of luminal A versus luminal B subtypes, which is partly based on a low versus a high Ki-67 index. A third limitation of our study is the lack of clinical follow-up regarding local control. In this study, we used data from 2009 (in this year we started registering according to standard pathology protocols) until 2015, resulting in inadequate follow-up time.

In conclusion, in this large population-based cohort study, we showed significant differences between the prevalence and extent of DCIS according to breast cancer subtypes. Her2+ IBC was associated with the highest prevalence and extent of DCIS, while on the other side of the spectrum, triple-negative IBC had the lowest prevalence of DCIS of all IBC subtypes. Since the extent of DCIS was also reflected in the resection margin status in patients treated with BCS, these data provide important information regarding the optimization of local therapy.

Compliance with ethical standards

Conflict of interest

None declared.

References

  • 1.Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–752. doi: 10.1038/35021093. [DOI] [PubMed] [Google Scholar]
  • 2.Sorlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci. 2001;98:10869–10874. doi: 10.1073/pnas.191367098. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Louwman MW, Vriezen M, van Beek MW, et al. Uncommon breast tumors in perspective: incidence, treatment and survival in the Netherlands. Int J Cancer. 2007;121:127–135. doi: 10.1002/ijc.22625. [DOI] [PubMed] [Google Scholar]
  • 4.Nielsen TO, Perou CM. CCR 20th Anniversary Commentary: the Development of Breast Cancer Molecular Subtyping. Clin Cancer Res. 2015;21:1779–1781. doi: 10.1158/1078-0432.CCR-14-2552. [DOI] [PubMed] [Google Scholar]
  • 5.Ng CK, Schultheis AM, Bidard FC, Wiegelt B, Reis-Filho JS, et al. Breast cancer genomics from microarrays to massively parallel sequencing: paradigms and new insights. J Natl Cancer Inst. 2015;107:djv015. doi: 10.1093/jnci/djv015. [DOI] [PubMed] [Google Scholar]
  • 6.Parker JS, Mullins M, Cheang MC, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27:1160–1167. doi: 10.1200/JCO.2008.18.1370. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Guedj M, Marisa L, de Reynies A, et al. A refined molecular taxonomy of breast cancer. Oncogene. 2012;31:1196–1206. doi: 10.1038/onc.2011.301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Van Steenbergen LN, Voogd AC, Roukema JA, et al. Screening caused rising incidence rates of ductal carcinoma in situ of the breast. Breast Cancer Res Treat. 2009;115:181–183. doi: 10.1007/s10549-008-0067-5. [DOI] [PubMed] [Google Scholar]
  • 9.Louwman WJ, Voogd AC, van Dijck JA, et al. On the rising trends of incidence and prognosis for breast cancer patients diagnosed 1975–2004: a long-term population-based study in southeastern Netherlands. Cancer Causes Control. 2008;19:97–106. doi: 10.1007/s10552-007-9075-8. [DOI] [PubMed] [Google Scholar]
  • 10.Steinman S, Wang J, Bourne P, Yang Q, Tang P. Expression of cytokeratin markers, ER-alpha, PR, HER-2/neu, and EGFR in pure ductal carcinoma in situ (DCIS) and DCIS with co-existing invasive ductal carcinoma (IDC) of the breast. Ann Clin Lab Sci. 2007;37:127–134. [PubMed] [Google Scholar]
  • 11.Park K, Han S, Kim H, Kim J, Shin E. HER2 status in pure ductal carcinoma in situ and in the intraductal and invasive components of invasive ductal carcinoma determined by fluorescence in situ hybridization and immunohistochemistry. Histopathology. 2006;48:702–707. doi: 10.1111/j.1365-2559.2006.02403.x. [DOI] [PubMed] [Google Scholar]
  • 12.Steinman S, Wang J, Bourne P, Kim J, Shin E. Expression of cytokeratin markers, ER-alpha, PR, HER-2/neu, and EGFR in pure ductal carcinoma in situ (DCIS) and DCIS with co-existing invasive ductal carcinoma (IDC) of the breast. Ann Clin Lab Sci. 2007;37:127–134. [PubMed] [Google Scholar]
  • 13.Meijnen P, Peterse JL, Antonini N, Rutgers EJ, van de Vijver MJ. Immunohistochemical categorisation of ductal carcinoma in situ of the breast. Br J Cancer. 2008;98:137–142. doi: 10.1038/sj.bjc.6604112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Clark SE, Warwick J, Carpenter R, Bowen RL, Duffy SW, Jones JL. Molecular subtyping of DCIS: heterogeneity of breast cancer reflected in pre-invasive disease. Br J Cancer. 2011;104:120–127. doi: 10.1038/sj.bjc.6606021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Zhou W, Jirström K, Amini RM, et al. Molecular subtypes in ductal carcinoma in situ of the breast and their relation to prognosis: a population-based cohort study. BMC Cancer. 2013;13:512. doi: 10.1186/1471-2407-13-512. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Tamimi RM, Baer HJ, Marotti J, et al. Comparison of molecular phenotypes of ductal carcinoma in situ and invasive breast cancer. Breast Cancer Res. 2008;10:R67. doi: 10.1186/bcr2128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Su Y, Zheng Y, Zheng W, et al. Distinct distribution and prognostic significance of molecular subtypes of breast cancer in Chinese women: a population-based cohort study. BMC Cancer. 2011;11:292. doi: 10.1186/1471-2407-11-292. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bauer KR, Brown M, Cress RD, Parise CA, Caggiano V. Descriptive analysis of estrogen receptor (ER)-negative, progesterone receptor (PR)-negative, and HER2-negative invasive breast cancer, the so-called triple-negative phenotype: a population-based study from the California cancer Registry. Cancer. 2007;109:1721–1728. doi: 10.1002/cncr.22618. [DOI] [PubMed] [Google Scholar]
  • 19.Cheang MC, Chia SK, Voduc D, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst. 2009;101:736–750. doi: 10.1093/jnci/djp082. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Kurbel S. In search of triple-negative DCIS: tumor-type dependent model of breast cancer progression from DCIS to the invasive cancer. Tumour Biol. 2013;4:1–7. doi: 10.1007/s13277-012-0602-1. [DOI] [PubMed] [Google Scholar]
  • 21.Van Steenbergen LN, Voogd AC, Roukema JA, et al. Time trends and inter-hospital variation in treatment and axillary staging of patients with ductal carcinoma in situ of the breast in the era of screening in Southern Netherlands. Breast. 2014;23:63–68. doi: 10.1016/j.breast.2013.11.001. [DOI] [PubMed] [Google Scholar]
  • 22.Vidali C, Caffo O, Aristei C, et al. Conservative treatment of breast ductal carcinoma in situ: results of an Italian multi-institutional retrospective study. Radiat Oncol. 2012;7:177. doi: 10.1186/1748-717X-7-177. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Rakovitch E, Nofech-Mozes S, Hanna W, et al. HER2/neu and Ki-67 expression predict non-invasive recurrence following breast-conserving therapy for ductal carcinoma in situ. Br J Cancer. 2012;13(106):1160–1165. doi: 10.1038/bjc.2012.41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Donker M, Litiere S, Werutsky G, et al. Breast-conserving treatment with or without radiotherapy in ductal carcinoma in situ: 15-year recurrence rates and outcome after a recurrence, from the EORTC 10853 randomized phase III trial. J Clin Oncol. 2013;31:4054. doi: 10.1200/JCO.2013.49.5077. [DOI] [PubMed] [Google Scholar]
  • 25.Han K, Nofech-Mozes S, Narod S, et al. Expression of HER2neu in ductal carcinoma in situ is associated with local recurrence. J Clin Oncol. 2012;24:183–189. doi: 10.1016/j.clon.2011.09.008. [DOI] [PubMed] [Google Scholar]
  • 26.Lazzeroni M, Guerrieri-Gonzaga A, Botteri E, et al. Tailoring treatment for ductal intraepithelial neoplasia of the breast according to Ki-67 and molecular phenotype. Br J Cancer. 2013;108:1593–1601. doi: 10.1038/bjc.2013.147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Williams KE, Barnes NLP, Cramer A, et al. Molecular phenotypes of DCIS predict overall and invasive recurrence. Ann Oncol. 2015;26:1019–1025. doi: 10.1093/annonc/mdv062. [DOI] [PubMed] [Google Scholar]
  • 28.Curigliano G, Disalvatore D, Esposito A, et al. Risk of subsequent in situ and invasive breast cancer in human epidermal growth factor receptor 2-positive ductal carcinoma in situ. Ann Oncol. 2015;26:682–687. doi: 10.1093/annonc/mdv013. [DOI] [PubMed] [Google Scholar]
  • 29.Voduc KD, Cheang MC, Tyldesley S, Gelmon K, Nielsen TO, Kennecke H. Breast cancer subtypes and the risk of local and regional relapse. J Clin Oncol. 2010;28:1684–1691. doi: 10.1200/JCO.2009.24.9284. [DOI] [PubMed] [Google Scholar]
  • 30.Nguyen PL, Taghian AG, Katz MS, et al. Breast cancer subtype approximated by estrogen receptor, progesterone receptor, and HER-2 is associated with local and distant recurrence after breast-conserving therapy. J Clin Oncol. 2008;26:2373–2378. doi: 10.1200/JCO.2007.14.4287. [DOI] [PubMed] [Google Scholar]
  • 31.Rezai M, Kellersmann S, Knispel S, Lax H, Kimmig R, Kern P. Translating the concept of intrinsic subtypes into an oncoplastic cohort of more than 1000 patients—predictors of recurrence and survival. Breast. 2015;24:384–390. doi: 10.1016/j.breast.2015.02.030. [DOI] [PubMed] [Google Scholar]
  • 32.Casparie M, Tiebosch AT, Burger G, et al. Pathology databanking and biobanking in The Netherlands, a central role for PALGA, the nationwide histopathology and cytopathology data network and archive. Cell Oncol. 2007;29:19–24. doi: 10.1155/2007/971816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;19:403–410. doi: 10.1111/j.1365-2559.1991.tb00229.x. [DOI] [PubMed] [Google Scholar]
  • 34.NABON (2012): Breast cancer guideline. http://www.richtlijnen-database.nl. Accessed 25 Apr 2016
  • 35.Wolff AC, Hammond ME, Hicks DG, et al. American society of clinical oncology; college of American pathologists. recommendations for human epidermal growth factor 2 testing in breast cancer: american society of clinical oncology/college of American pathologists practice guideline update. J Clin Oncol. 2013;31:3997–4013. doi: 10.1200/JCO.2013.50.9984. [DOI] [PubMed] [Google Scholar]
  • 36.Goldhirsch A, Winer EP, Coates AS, et al. 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. 2013;24:2206–2223. doi: 10.1093/annonc/mdt303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Prat A, Cheang MC, Martín M, et al. Prognostic significance of progesterone receptor-positive tumor cells within immunohistochemically defined luminal A breast cancer. J Clin Oncol. 2013;31:203–209. doi: 10.1200/JCO.2012.43.4134. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Nuclear dcis: the consensus conference committee Consensus conference on the classification of ductal carcinoma. Cancer. 1997;80:1798–1802. doi: 10.1002/(SICI)1097-0142(19971101)80:9&#x0003c;1798::AID-CNCR15&#x0003e;3.0.CO;2-0. [DOI] [PubMed] [Google Scholar]
  • 39.Dutch Guideline for Breast Cancer Treatment (2002). http://www.oncoline.nl/uploaded/docs/mammacarcinoom/Dutch%20Breast%20Cancer%20Guideline%202012.pdf. Accessed 3 May 2016
  • 40.Buchholz TA, Somerfield MR, Griggs JJ, et al. Margins for breast-conserving surgery with whole-breast irradiation in stage I and II invasive breast cancer: american Society of Clinical Oncology endorsement of the Society of Surgical Oncology/American Society for Radiation Oncology consensus guideline. J Clin Oncol. 2014;32:1502–1506. doi: 10.1200/JCO.2014.55.1572. [DOI] [PubMed] [Google Scholar]
  • 41.Jia H, Jia W, Yang Y, et al. HER-2 positive breast cancer is associated with an increased risk of positive cavity margins after initial lumpectomy. World J Surg Oncol. 2014;12:289. doi: 10.1186/1477-7819-12-289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Parise CA, Bauer KR, Brown MM, Caggiano V. Breast cancer subtypes as defined by the estrogen receptor (ER), progesterone receptor (PR), and the human epidermal growth factor receptor 2 (HER2) among women with invasive breast cancer in California, 1999-2004. Breast J. 2009;15:593–602. doi: 10.1111/j.1524-4741.2009.00822.x. [DOI] [PubMed] [Google Scholar]
  • 43.Tot T. Early (<10 mm) HER2-Positive Invasive Breast Carcinomas are Associated with Extensive Diffuse High-Grade DCIS: implications for Preoperative Mapping, Extent of Surgical Intervention, and Disease-Free Survival. Ann Surg Oncol. 2015;22:2532–2539. doi: 10.1245/s10434-015-4367-9. [DOI] [PubMed] [Google Scholar]
  • 44.Vicini FA, Eberlein TJ, Connolly JL, et al. The optimal extent of resection for patients with stages I or II breast cancer treated with conservative surgery and radiotherapy. Ann Surg. 1991;214:200–205. doi: 10.1097/00000658-199109000-00002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Greenwood HI, Heller SL, Kim S, Sigmund EE, Shaylor SD, Moy L. Ductal carcinoma in situ of the breasts: review of MR imaging features. Radiographics. 2013;33:1569–1588. doi: 10.1148/rg.336125055. [DOI] [PubMed] [Google Scholar]
  • 46.Yamada T, Mori N, Watanabe M, et al. Radiologic-pathologic correlation of ductal carcinoma in situ. Radiographics. 2010;30:1183–1198. doi: 10.1148/rg.305095073. [DOI] [PubMed] [Google Scholar]

Articles from Breast Cancer Research and Treatment are provided here courtesy of Springer

RESOURCES