Literature DB >> 35051228

Survival analysis in patients with invasive lobular cancer and invasive ductal cancer according to hormone receptor expression status in the Korean population.

Douk Kwon1, Byung Kyun Ko2, Seung Pil Jung3, Hong-Kyu Kim4, Eun-Kyu Kim5, Yong Sik Jung6, Hyun Jo Youn7, Sae Byul Lee1.   

Abstract

BACKGROUND: We compared the clinicopathological characteristics and survival outcomes of invasive lobular carcinoma (ILC) cases with those of invasive ductal carcinoma (IDC) cases in various hormone receptor expression subgroups.
METHODS: We compared clinicopathological characteristics, overall survival (OS), and breast cancer-specific survival (BCSS) between patients with IDC (n = 95,486) and ILC (n = 3,023). In addition, we analyzed the effects of different hormone receptor expression subgroups on survival.
RESULTS: The ILC group had more instances of advanced stage and hormonal receptor positivity than did the IDC group (p < 0.001), but the IDC group had higher histological grade and nuclear grade, as well as higher frequency of human epidermal growth factor receptor 2 and Ki67 expression than did the ILC group (p < 0.001). The OS and BCSS were not significantly different between the IDC and ILC groups. The 5-year OS of the IDC group was 88.8%, while that of the ILC group was 90.6% (p = 0.113). The 5-year BCSS of the IDC group was 94.8%, while that of the ILC group was 95.0% (p = 0.552). When analyzing each hormone receptor expression subgroup, there were no significant differences in survival between the IDC and ILC groups. However, the estrogen receptor (ER) negative/progesterone receptor (PR) negative subgroup showed differences in survival between the IDC and ILC groups. Moreover, the hazard ratio of ILC in the ER negative/PR negative subgroup was 1.345 (95% confidence interval: 1.012-1.788; p = 0.041).
CONCLUSIONS: Hormone receptor expression should be considered when determining prognosis and treatment regimen for IDC and ILC. Researchers should further study the ER negative/PR negative population to identify treatment and prognostic models that will facilitate the development of individualized therapy for these patients, which is needed for good outcomes.

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Year:  2022        PMID: 35051228      PMCID: PMC8775332          DOI: 10.1371/journal.pone.0262709

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

In Korea, just as in western countries, the prevalence of breast cancer is increasing [1-4], and invasive breast cancer accounts for most cases [5]. Several studies comparing invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) have been conducted worldwide [6-10]; these have shown that ILC cases have similar or better survival outcomes compared to those of IDC cases, which account for most invasive breast cancer cases [8-12]. As individualized therapy has become important, studies on hormone receptor expression subtypes have been conducted, mainly in the West. According to the Surveillance, Epidemiology, and End Results (SEER) Program database, compared to IDC, ILC is associated with larger tumor size, older diagnosis age, advanced stage, lower histological grade, higher estrogen receptor (ER)/progesterone receptor (PR) expression, and lower human epidermal growth factor receptor 2 (HER-2) expression. Higher percentages of lymph node positivity and distant metastasis are also found in ILC cases than in IDC cases. In an analysis of hormone receptor expression status that excluded the ER negative/PR negative subgroup, the ER positive/PR positive subgroup showed the best survival, while the ER positive/PR negative subgroup had the worst outcomes [6]. As in the West, studies are being conducted in Asia, including Korea [13-15]. However, few have compared invasive breast cancer survival outcomes among different hormone receptor expression subgroups. Therefore, in the present work, we conducted a study on invasive breast cancer in Korea using data from the Korean Breast Cancer Registry (KBCR) to compare and analyze survival among various hormone receptor expression subgroups.

Materials and methods

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.

Patient selection

In the KBCR database, we identified 98,509 patients with invasive breast cancer diagnosed between 2001 and 2013 who aged more than 18 years old. The KBCR database is a nationwide, Korean, multi-institutional online database. The Korean Breast Cancer Society (KBCS) prospectively keeps the information of patients diagnosed with breast cancer in 102 hospitals. The following information is included: patient identification number, age at operation, sex, tumor stage based on the American Joint Committee on Cancer classification, pathophysiology, and type of surgery. Expression of ER and PR was considered positive if more than 10% of the tumor stained positive, HER-2 status was evaluated using HER-2 overexpression analysis with any grade over 2+ being considered positive. Fluorescence in situ hybridization was used when HER-2 status was graded as 2+, and considered positive if graded 3+ for its result. We excluded patients with metastatic breast cancer at the time of diagnosis, as well as those with carcinoma in situ or poorly evaluated axillary lymph nodes, and those without biological subtype information [S1 Table]. This study was approved by the Institutional Review Board of Asan Medical Center, Seoul, South Korea (20171341). Given that the study was based on retrospective clinical data, the need for informed consent was waived.

Statistical analysis

The clinicopathological features of invasive breast cancer cases were analyzed using a Pearson’s chi-square test. We used the Kaplan–Meier method and log-rank test to analyze and compare survival outcomes. Overall survival (OS) was defined as the time from the date of breast cancer diagnosis until the date of death (from any cause) or last follow-up. Breast cancer-specific survival (BCSS) was defined as the time from the date of breast cancer diagnosis until the date of breast cancer-related death or last follow-up. A Cox proportional hazard analysis was used to obtain hazard ratios (HRs) with 95% confidence intervals (CIs) in uni- and multivariable analyses. All p-values less than 0.05 were considered statistically significant. We used SPSS statistical software, version 26.0 (SPSS Inc., Chicago, USA) for all statistical analysis.

Results

Clinicopathological characteristics of patients with invasive breast cancer

In total, 98,509 patients diagnosed with invasive breast cancer between 2001 and 2013 were selected from the KBCR database, and their data were analyzed. Among them, 95,486 (96.9%) patients had IDC and 3,023 (3.1%) had ILC. The clinicopathological characteristics of the study population are summarized in Table 1. Patients with ILC were older at the time of surgery than those with IDC (≥41 years of age at operation: ILC group, 89.3% vs. IDC group, 81.5%; p < 0.001). Compared to the IDC group, the ILC group more frequently presented with advanced stage and positive ER and PR expression (p < 0.001). The IDC group had higher histological grade and nuclear grade as well as higher frequency of HER-2 and Ki67 expression than did the ILC group (p < 0.001).
Table 1

Clinicopathological characteristics of patients with invasive breast cancer.

CharacteristicsTotal (n = 98509)IDC group (n = 95486)ILC group (n = 3023)p-value
Age at operation
    ≤ 4017998 (18.3)17674 (18.5)324 (10.7)< 0.001
    ≥ 4180511 (81.7)77812 (81.5)2699 (89.3)
T stage
    0115 (0.1)112 (0.1)3 (0.1)< 0.001
    155219 (56.1)53756 (56.3)1463 (48.4)
    238045 (38.6)36786 (38.5)1259 (41.6)
    34212 (4.3)3935 (4.1)277 (9.2)
    4918 (0.9)897 (0.9)21 (0.7)
N stage
    063061 (64.0)61099 (64.0)1962 (64.9)0.018
    125387 (25.8)24664 (25.8)723 (23.9)
    26824 (6.9)6608 (6.9)216 (7.1)
    33237 (3.3)3115 (3.3)122 (4.0)
TNM stage
    I42209 (42.9)41032 (43.0)1177 (38.9)< 0.001
    II44492 (45.2)43090 (45.1)1402 (46.4)
    III11786 (12.0)11342 (11.9)444 (14.7)
    Unknown22220
Histologic grade
    G114880 (17.4)14411 (17.3)469 (24.7)< 0.001
    G239257 (46.0)38079 (45.7)1178 (62.1)
    G331163 (36.5)30914 (37.1)249 (13.1)
    Unknown13209120821127
Nuclear grade
    G18675 (11.7)8211 (11.3)464 (24.4)< 0.001
    G236776 (49.5)35597 (49.1)1179 (62.0)
    G328909 (38.9)28649 (39.5)260 (13.7)
    Unknown24149230291120
LVI
    Negative54057 (68.6)51991 (68.1)2066 (82.2)< 0.001
    Positive24768 (31.4)24321 (31.9)447 (17.8)
    Unknown1968419174510
Hormone expression
    ER+/PR+50367 (54.1)48211 (53.4)2156 (73.8)< 0.001
    ER+/PR−11078 (11.9)10660 (11.8)418 (14.3)
    ER−/PR+4372 (4.7)4270 (4.7)102 (3.5)
    ER−/PR−27327 (29.3)27082 (30.0)245 (8.4)
    Unknown53655263102
HER2
    Negative67276 (79.4)64753 (78.9)2523 (93.9)< 0.001
    Positive17503 (20.6)17338 (21.1)165 (6.1)
    Unknown1373013395335
Ki67
    ≤ 2026933 (62.4)25713 (61.6)1220 (85.7)< 0.001
    > 2016247 (37.6)16044 (38.4)203 (14.3)
    Unknown55329537291600
Chemotherapy
    No22732 (25.9)21930 (25.8)802 (29.1)< 0.001
    Yes65033 (74.1)63082 (74.2)1951 (70.9)
    Unknown1074410474270
Radiation therapy
    No32528 (38.7)31461 (38.7)1067 (40.1)0.067
    Yes51486 (61.3)49894 (61.3)1592 (59.9)
    Unknown1449514131364
Hormonal therapy
    No24402 (29.8)24098 (30.4)304 (11.6)< 0.001
    Yes57460 (70.2)55154 (69.6)2306 (88.4)
    Unknown1664716234413
Surgery
    TM47951 (49.4)46337 (49.2)1614 (54.0)< 0.001
    BCS49203 (49.4)47828 (50.8)1375 (46.0)
    Unknown1355132134
Axillary op
    SNB25320 (26.0)24328 (25.8)992 (33.1)< 0.001
    ALND67578 (69.4)65711 (69.6)1867 (62.3)
    No op4508 (4.6)4372 (4.6)136 (4.5)
    Unknown1103107528

ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; IDC, invasive ductal carcinoma; ILC, invasive lobular carcinoma; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy.

ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; IDC, invasive ductal carcinoma; ILC, invasive lobular carcinoma; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy. In Table 2, we have compared the clinicopathological characteristics of the study population according to the hormonal receptor expression subgroups. The ER negative (−)/PR− group presented much higher histological grade and nuclear grade, as well as higher frequency of HER-2 and Ki67 expression than did other groups (p < 0.001). Regarding TNM stage, the ER positive (+)/PR+ subgroup was the least advanced, while the ER−/PR+ subgroup was the most advanced (p < 0.001). Patients in the ER−/PR+ were the oldest and showed the highest frequency of lymphovascular invasion (p < 0.001).
Table 2

Clinicopathological characteristics of hormonal expression subgroups in the total study population.

Total population
CharacteristicsER+/PR+(n = 50367)ER+/PR−(n = 11078)ER−/PR+(n = 4372)ER−/PR−(n = 27327)p-value
Age at operation
    ≤ 408722 (17.3)1565 (14.1)979 (22.4)5390 (19.7)< 0.001
    ≥ 4141645 (82.7)9513 (85.9)3393 (77.6)21937 (80.2)
T stage
    027 (0.1)21 (0.2)2 (0.0)59 (0.2)< 0.001
    131135 (61.8)6323 (57.1)1972 (45.1)13326 (48.8)
    217223 (34.2)4115 (37.1)2063 (47.2)12199 (44.6)
    31688 (3.4)484 (4.4)280 (6.4)1398 (5.1)
    4294 (0.6)135 (1.2)55 (1.3)345 (1.3)
N stage
    032345 (64.2)6877 (62.1)2556 (58.5)17858 (65.3)< 0.001
    113392 (26.6)2979 (26.9)1241 (28.4)6347 (23.2)
    23168 (6.3)862 (7.8)399 (9.1)1993 (7.3)
    31462 (2.9)360 (3.2)176 (4.0)1129 (4.1)
TNM stage
    I23693 (47.0)4752 (42.9)1457 (33.3)10414 (38.1)< 0.001
    II21412 (42.5)4859 (43.9)2220 (50.8)13230 (48.4)
    III5261 (10.4)1463 (13.2)694 (15.9)3677 (13.5)
    Unknown1416
Histologic grade
    G111285 (24.9)1652 (16.7)444 (12.3)971 (4.1)< 0.001
    G224339 (53.7)5140 (52.0)1503 (41.6)7006 (29.3)
    G39716 (21.4)3094 (31.3)1662 (46.1)15957 (66.7)
    Unknown502711927633393
Nuclear grade
    G15846 (14.5)1012 (11.8)330 (11.5)1180 (5.6)< 0.001
    G224565 (61.1)4591 (53.4)1220 (42.5)5493 (26.1)
    G39768 (24.3)2996 (34.8)1323 (46.0)14346 (68.3)
    Unknown10188247914996308
LVI
    Negative29567 (68.9)6258 (68.9)1898 (61.6)15324 (69.6)< 0.001
    Positive13344 (31.1)2822 (31.1)1182 (38.4)6692 (30.4)
    Unknown7456199812925311
HER2
    Negative40713 (87.7)7808 (78.0)2674 (73.9)15868 (64.9)< 0.001
    Positive5712 (12.3)2198 (22.0)945 (26.1)8589 (35.1)
    Unknown394210727532870
Ki67
    ≤ 2018369 (74.2)3158 (68.0)694 (51.4)4624 (37.6)< 0.001
    > 206389 (25.8)1485 (32.0)656 (48.6)7684 (62.4)
    Unknown256096435302215019
Chemotherapy
    No15274 (33.3)2991 (30.3)602 (15.6)3109 (12.5)< 0.001
    Yes30561 (66.7)6887 (69.7)3261 (84.4)21735 (87.5)
    Unknown453212005092483
Radiation therapy
    No15693 (35.3)3883 (40.7)1567 (43.7)9700 (41.1)< 0.001
    Yes28707 (64.7)5653 (59.3)2019 (56.3)13910 (58.9)
    Unknown596715427863717
Hormonal therapy
    No2545 (5.8)796 (8.5)521 (15.1)19473 (86.9)< 0.001
    Yes41310 (94.2)8624 (91.5)2927 (84.9)2937 (13.1)
    Unknown651216589244917
Surgery
    TM21685 (43.6)5710 (52.2)2456 (57.2)14392 (53.3)< 0.001
    BCS28054 (56.4)5230 (47.8)1840 (42.8)12634 (46.7)
    Unknown62813876301
Axillary op
    SNB15399 (30.9)2783 (25.4)528 (12.2)6363 (23.5)< 0.001
    ALND32146 (64.5)7703 (70.2)3576 (82.9)19469 (71.9)
    No op2302 (4.6)486 (4.4)209 (4.8)1252 (4.6)
    Unknown52010659243

ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy.

ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy. ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; IDC, invasive ductal carcinoma; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy. ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; ILC, invasive lobular carcinoma; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy.

Comparing survival outcomes of invasive breast cancer

The median follow-up period of the study population was 76.9 months (range: 0.1–304 months). Fig 1 shows no significant differences in survival between the IDC and ILC groups. The 5-year OS of the IDC group was 88.8%, while that of the ILC group was 90.6% (p = 0.113). The 5-year BCSS of the IDC group was 94.8%, while that of the ILC group was 95.0% (p = 0.552).
Fig 1

Kaplan–Meier survival analysis of overall survival (OS) (A) and breast cancer-specific survival (BCSS) (B) between the invasive ductal carcinoma and invasive lobular carcinoma groups.

Kaplan–Meier survival analysis of overall survival (OS) (A) and breast cancer-specific survival (BCSS) (B) between the invasive ductal carcinoma and invasive lobular carcinoma groups. In Fig 2, we analyzed the comparison of 5-year survival outcomes among hormone receptor expression subgroups in the total population. The ER+/PR+ subgroup showed the best 5-year survival (OS: 96.1%, BCSS: 98.5%) followed by the ER+/PR− subgroup (OS: 92.8%, BCSS: 96.7%), ER −/PR+ subgroup (OS: 90.5%, BCSS: 94.7%), and ER−/PR− subgroup (OS: 87.8%, BCSS: 91.7%; p < 0.001 for both OS and BCSS).
Fig 2

Kaplan–Meier survival analysis of overall survival (OS) (A) and breast cancer-specific survival (BCSS) (B) according to estrogen receptor and progesterone receptor status.

Kaplan–Meier survival analysis of overall survival (OS) (A) and breast cancer-specific survival (BCSS) (B) according to estrogen receptor and progesterone receptor status. Similarly, as shown in Fig 3, the ER+/PR+ subgroup had the best survival, while the ER−/PR− subgroup had the worst in both the IDC and ILC groups (5-year OS in the IDC group: ER+/PR+, 88.9%; ER+/PR−, 83.0%; ER−/PR+, 83.4%; ER−/PR−, 81.9%; p < 0.001; 5-year BCSS of the IDC group: ER+/PR+, 96.1%; ER+/PR−, 93.2%; ER−/PR+, 91.8%; ER−/PR−, 92.0%; p < 0.001; 5-year OS of the ILC group: ER+/PR+, 88.0%; ER+/PR−, 80.3%; ER−/PR+, 82.2%; ER−/PR−, 74.4%; p < 0.001; 5-year BCSS of the ILC group: ER+/PR+, 95.6%; ER+/PR−, 90.1%; ER−/PR+, 88.8%; ER−/PR−, 87.1%; p < 0.001).
Fig 3

Kaplan–Meier survival analysis of overall survival (OS) (A, C) and breast cancer-specific survival (BCSS) (B, D) in the invasive ductal carcinoma (A, B) and invasive lobular carcinoma groups (C, D).

Kaplan–Meier survival analysis of overall survival (OS) (A, C) and breast cancer-specific survival (BCSS) (B, D) in the invasive ductal carcinoma (A, B) and invasive lobular carcinoma groups (C, D). The effects of hormone receptor expression status on survival outcomes are shown in Fig 4. In the total population, ER−/PR− status conferred the highest risk on OS (HR: 1.620, 95% CI: 1.528–1.718; p < 0.001), followed by ER+/PR− status (HR: 1.419, 95% CI: 1.331–1.513; p < 0.001), ER−/PR+ status (HR: 1.344, 95% CI: 1.237–1.459; p < 0.001), and ER−/PR− status (reference). Moreover, ER−/PR− status conferred the highest risk on BCSS among the total population (HR: 1.915, 95% CI: 1.747–2.098; p < 0.001), followed by ER−/PR+ status (HR: 1.625, 95% CI: 1.435–1.841; p < 0.001), ER+/PR− status (HR: 1.516, 95% CI: 1.364–1.685; p < 0.001), and ER+/PR+ status (reference). In the IDC group, the order of HR by hormone receptor expression was similar to that in the total population. In contrast, in the ILC group, ER−/PR+ status conferred the highest risk on OS (HR: 1.771, 95% CI: 1.088–2.884; p = 0.022), followed by ER+/PR− status (HR: 1.673, 95% CI: 1.182–2.367; p = 0.004), ER−/PR− status (HR: 1.574, 95% CI: 1.032–2.400; p = 0.035), and ER+/PR+ status (reference).
Fig 4

Cox regression analysis of survivals by hormone receptor expression.

Comparison of survival between IDC and ILC in each hormone receptor expression subgroup

We compared survival between the IDC and ILC populations in each hormone expression subgroup. There were no differences in survival between the IDC and ILC populations in the ER+/PR+ subgroup (5-year OS in IDC group: 88.9% vs. ILC group: 88.0%; p = 0.859; 5-year BCSS in IDC group 96.1% vs. ILC group: 95.6%; p = 0.828). There were similar results in the ER+/PR− subgroup (5-year OS in IDC group: 83.0 vs. ILC group: 80.3; p = 0.438; 5-year BCSS in IDC group: 93.2% vs. ILC group: 90.1%; p = 0.053) and the ER−/PR− subgroup (5-year OS in IDC group: 83.4% vs. ILC group: 82.2%; p = 0.522; 5-year BCSS in IDC group: 91.8% vs. ILC group: 88.8%; p = 0.291). However, the ER−/PR− subgroup showed differences in survival between the IDC and ILC populations (5-year OS in IDC group: 81.9% vs. ILC group: 74.4%; p = 0.040; 5-year BCSS in IDC group 92.0% vs. ILC group: 87.1%; p = 0.049). In the univariate Cox regression analysis, the HR of ILC in the ER−/PR− subgroup was 1.345 (95% CI: 1.012–1.788; p = 0.041).

Discussion

In the present study, we compared the clinicopathological characteristics and survival outcomes of invasive breast cancer cases in Korea. In Asia, fewer studies than in the West have compared clinicopathological characteristics and survival between ILC and IDC cases of different molecular subtypes. According to a study using the SEER database, compared to patients with IDC, patients with ILC are older at diagnosis, have larger tumor size, show more advanced stage, have lower histological grade, and display more hormone expression positivity [6]. We found similar clinicopathological tendencies in the KBCR database. Several studies have asserted that ILC cases show larger tumor size and more advanced stage than IDC cases because the indistinct tumor growth pattern leads to delays in diagnosis and detection failure [16-19]. In the present study, total mastectomy was more common in patients with ILC than in those with IDC, as in other studies, probably because of the larger tumor size, more advanced stage, and multifocal tendency. For the comparison of survival between ILC and IDC cases, several studies have been carried out with conflicting results. In a study by Chen et al., ILC cases showed better OS before 60 months (HR of IDC vs. ILC: 1.118; p < 0.0001); thereafter, IDC cases showed better OS (HR of IDC vs. ILC: 0.775; p < 0.0001). The disease-specific survival curve showed that IDC cases had better survival outcomes than ILC cases did (HR of IDC vs. ILC: 0.809; p < 0.0001) [6]. In other reports, ILC cases had similar or better survival outcomes compared to those of IDC cases [8-14]. In the present study, there were no meaningful differences in OS or BCSS between patients with ILC and IDC in the KBCR database. Breast cancer is a heterogeneous disease with varying hormone receptor status, and each subtype has different clinical features, treatment options, outcomes, and prognoses. For this reason, the hormone receptor subtypes are being studied worldwide. The ER+/PR+ subgroup presented the best survival in the present study, while the ER−/PR− subgroup presented the worst when the total study population was compared according to hormone expression status. The HR of ER+/PR− expression on OS was 1.419 (95% CI: 1.331–1.513; p < 0.001), while that of ER−/PR+ expression was 1.344 (95% CI: 1.237–1.459; p < 0.001) and that of ER −/PR− expression was 1.620 (95% CI: 1.528–1.718; p < 0.001) when ER+/PR+ expression was used as a reference. The HR of ER+/PR− expression on BCSS was 1.516 (95% CI: 1.364–1.685; p < 0.001), while that of ER−/PR+ expression was 1.625 (95% CI: 1.435–1.841; p < 0.001) and that of ER−/PR− expression was 1.915 (95% CI: 1.747–2.098; p < 0.001) when ER+/PR+ expression was used as a reference. In the IDC group, the order of survival HR was similar to that in the total population. In contrast, the ILC group showed a slightly different order of survival HR. The HR of ER+/PR− expression on OS was 1.673 (95% CI: 1.182–2.367; p = 0.004), while that of ER−/PR+ expression was 1.771 (95% CI: 1.088–2.884; p < 0.022) and that of ER−/PR− expression was 1.574 (95% CI: 1.032–2.400; p < 0.035) when ER+/PR+ expression was used as a reference. The HR of ER+/PR− expression on BCSS was 2.389 (95% CI: 1.422–4.016; p = 0.001), while that of ER−/PR+ expression was 2.629 (95% CI: 1.322–5.228; p = 0.006) when ER+/PR+ expression was used as a reference. When analyzing each hormone receptor expression subgroup, as shown in Fig 5, there were no significant differences in survival between the IDC and ILC populations. However, the ER−/PR− subgroup showed differences in survival between the IDC and ILC populations (5-year OS in IDC group: 87.8% vs. ILC group: 87.5%; p = 0.040; 5-year BCSS in IDC group: 92.0% vs. ILC group: 87.1%; p = 0.049). In some studies, hormone receptor negativity was shown to reduce survival rates in the ILC group. In a study by Francesca et al., triple negative ILC showed the worst survival outcomes (79.7% at 5-years and 73.8% at 10-years) among all histological types. The same study reported that triple negative ILC showed a higher metastatic lymph node ratio (> 0.65) and lower response to chemotherapy than those of other triple negative breast cancer histological types [20]. It is hard to predict outcomes based on current classification and treatment regimens because the ER−/PR− population shows heterogeneity. Therefore, researchers must identify new molecular targets and subtypes. Understanding the heterogeneous molecular subtypes will allow targeted treatments in the future.
Fig 5

Kaplan–Meier survival analysis of overall survival (OS) (A, C, E, G) and breast cancer-specific survival (BCSS) (B, D, F, H), in the ER positive/PR positive (A, B), ER positive/PR negative (C, D), ER negative/PR positive (E, F), and ER negative/PR negative subgroups (G, H).

Kaplan–Meier survival analysis of overall survival (OS) (A, C, E, G) and breast cancer-specific survival (BCSS) (B, D, F, H), in the ER positive/PR positive (A, B), ER positive/PR negative (C, D), ER negative/PR positive (E, F), and ER negative/PR negative subgroups (G, H). There were some limitations to this study. First, it was retrospective, so selection bias may have been present. However, the incidence of ILC is too small to study prospectively. Second, some data were clearly missing during the follow-up period, but we reasoned that the data were valuable and reliable because they were sourced from a large-scale database of one country with long-term follow-up and they corroborated findings of previous studies. Moreover, hormone receptor expression of 1–10% of tumor nuclei positivity was considered as negative, because it was initially registered as negative when the database started to be built. Another limitation may be that the neoadjuvant chemotherapy is not isolated, but in Korea, since it started in the 2010s, the number of patients who received neoadjuvant chemotherapy is small, so it will not have a significant effect. In conclusion, we reviewed the clinicopathological characteristics and survival outcomes of invasive breast cancer cases in Korea. There was no difference in survival outcomes between ILC and IDC cases in the present study. However, in the ER−/PR− subgroup, the survival outcomes of ILC cases were worse than those of IDC cases. Given that the ER−/PR− group was heterogeneous and the incidence of ILC was low, further large studies are needed to allow comprehensive classification and identification of treatment regimens.

Inclusion/Exclusion criteria for patient selection.

(DOCX) Click here for additional data file. (XLSX) Click here for additional data file.
Table 2–1

Clinicopathological characteristics of hormonal expression subgroups in the IDC group.

IDC group
CharacteristicsER+/PR+(n = 50367)ER+/PR−(n = 11078)ER−/PR−(n = 4372)ER−/PR−(n = 27327)p-value
Age at operation
    ≤ 408494 (17.6)1542 (14.5)962 (22.5)5362 (19.8)< 0.001
    ≥ 4139717 (82.4)9118 (85.5)3308 (77.5)21720 (80.2)
T stage
    026 (0.1)21 (0.2)2 (< 0.1)59 (0.2)< 0.001
    130069 (62.4)6119 (57.4)1930 (45.2)13227 (48.8)
    216330 (33.9)3957 (37.1)2012 (47.1)12084 (44.6)
    31502 (3.1)436 (4.1)271 (6.3)1370 (5.1)
    4284 (0.6)127 (1.2)55 (1.3)342 (1.3)
N stage
    030927 (64.1)6596 (61.9)2501 (58.6)17712 (65.4)< 0.001
    112859 (26.7)2896 (27.2)1212 (28.4)6293 (23.2)
    23039 (6.3)825 (7.7)387 (9.1)1964 (7.3)
    31386 (2.9)343 (3.2)170 (4.0)1113 (4.1)
TNM stage
    I22834 (47.4)4579 (43.0)1428 (33.5)10337 (38.2)< 0.001
    II20390 (42.3)4688 (44.0)2167 (50.8)13119 (48.5)
    III4986 (10.3)1389 (13.0)674 (15.8)3620 (13.4)
    Unknown1416
Histologic grade
    G110899 (24.8)1600 (16.6)433 (12.2)955 (4.0)< 0.001
    G223446 (53.4)4967 (51.6)1473 (41.4)6939 (29.1)
    G39555 (21.8)3063 (31.8)1652 (46.4)15912 (66.8)
    Unknown431110307123276
Nuclear grade
    G15470 (14.1)957 (11.5)317 (11.2)1165 (5.6)< 0.001
    G223664 (61.1)4420 (53.0)1190 (42.1)5427 (26.0)
    G39603 (24.8)2959 (35.5)1319 (46.7)14298 (68.4)
    Unknown9474232414446192
LVI
    Negative28007 (68.2)5969 (68.4)1838 (61.1)15188 (69.6)< 0.001
    Positive13041 (31.8)2760 (31.6)1169 (38.9)6633 (30.4)
    Unknown7163193112635261
HER2
    Negative38804 (87.4)7454 (77.4)2587 (73.3)15702 (64.8)< 0.001
    Positive5618 (12.6)2174 (22.6)941 (26.7)8547 (35.2)
    Unknown378910327422833
Ki67
    ≤ 2017426 (73.6)2976 (67.0)672 (50.7)4553 (37.3)< 0.001
    > 206240 (26.4)1467 (33.0)653 (49.3)7653 (62.7)
    Unknown245456217294514876
Chemotherapy
    No14668 (33.5)2862 (30.1)585 (15.5)3077 (12.5)< 0.001
    Yes29175 (66.5)6638 (69.9)3184 (84.5)21541 (87.5)
    Unknown436811605012464
Radiation therapy
    No14918 (35.1)3746 (40.8)1531 (43.8)9606 (41.1)< 0.001
    Yes27550 (64.9)5425 (59.2)1965 (56.2)13791 (58.9)
    Unknown574314897743685
Hormonal therapy
    No2451 (5.8)761 (8.4)515 (15.3)19317 (87.0)< 0.001
    Yes39500 (94.2)8297 (91.6)2851 (84.7)2887 (13.0)
    Unknown626016029044878
Surgery
    TM20590 (43.2)5482 (52.1)2392 (57.0)14235 (53.2)< 0.001
    BCS27017 (56.8)5044 (47.9)1805 (43.0)12547 (46.8)
    Unknown60413473300
Axillary op
    SNB14612 (30.6)2651 (25.1)518 (12.3)6308 (23.5)< 0.001
    ALND30889 (64.7)7444 (70.5)3491 (82.8)19288 (71.9)
    No op2210 (4.6)462 (4.4)205 (4.9)1243 (4.6)
    Unknown50010356243

ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; IDC, invasive ductal carcinoma; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy.

Table 2–2

Clinicopathological characteristics of hormonal expression subgroups in ILC group.

ILC group
CharacteristicsER+/PR+(n = 50367)ER+/PR−(n = 11078)ER−/PR+(n = 4372)ER−/PR−(n = 27327)p-value
Age at operation
    ≤ 40228 (10.6)23 (5.5)17 (16.7)28 (11.4)0.001
    ≥ 411928 (89.4)395 (94.5)85 (83.3)217 (88.6)
T stage
    01 (< 0.1)0 (< 0.1)0 (< 0.1)0 (< 0.1)0.010
    11066 (49.4)204 (48.8)42 (41.2)99 (40.4)
    2893 (41.4)158 (37.8)51 (50.0)115 (46.9)
    3186 (8.6)48 (11.5)9 (8.8)28 (11.4)
    410 (0.5)8 (1.9)0 (< 0.1)3 (1.2)
N stage
    01418 (65.8)281 (67.2)55 (53.9)146 (59.6)< 0.001
    1533 (24.7)83 (19.9)29 (28.4)54 (22.0)
    2129 (6.0)37 (8.9)12 (11.8)29 (11.8)
    376 (3.5)17 (4.1)6 (5.9)16 (6.5)
TNM stage
    I859 (39.8)173 (41.4)29 (28.4)77 (31.4)< 0.001
    II1022 (47.4)171 (40.9)53 (52.0)111 (45.3)
    III275 (12.8)74 (17.7)20 (19.6)57 (23.3)
Histologic grade
    G1386 (26.8)52 (20.3)11 (21.6)16 (12.5)< 0.001
    G2893 (62.0)173 (67.6)30 (58.8)67 (52.3)
    G3161 (11.2)31 (12.1)10 (19.6)45 (35.2)
    Unknown71616251117
Nuclear grade
    G1376 (26.1)55 (20.9)13 (27.7)15 (11.6)< 0.001
    G2901 (62.5)171 (65.0)30 (63.8)66 (51.2)
    G3165 (11.4)37 (14.1)4 (8.5)48 (37.2)
    Unknown71415555116
LVI
    Negative1560 (83.7)289 (82.3)60 (82.2)136 (69.7)< 0.001
    Positive303 (16.3)62 (17.7)13 (17.8)59 (30.3)
    Unknown293672950
HER2
    Negative1909 (95.3)354 (93.7)87 (95.6)166 (79.8)< 0.001
    Positive94 (4.7)24 (6.3)4 (4.4)42 (20.2)
    Unknown153401137
Ki67
    ≤ 20943 (86.4)182 (91.0)22 (88.0)71 (69.6)< 0.001
    > 20149 (13.6)18 (9.0)3 (12.0)31 (30.4)
    Unknown106421877143
Chemotherapy
    No606 (30.4)129 (34.1)17 (18.1)32 (14.2)< 0.001
    Yes1386 (69.6)249 (65.9)77 (81.9)194 (85.8)
    Unknown16440819
Radiation therapy
    No775 (40.1)137 (37.5)36 (40.0)94 (44.1)0.486
    Yes1157 (59.9)228 (62.5)54 (60.0)119 (55.9)
    Unknown224531232
Hormonal therapy
    No94 (4.9)35 (9.7)6 (7.3)156 (75.7)< 0.001
    Yes1810 (95.1)327 (90.3)76 (92.7)50 (24.3)
    Unknown252562039
Surgery
    TM1095 (51.4)228 (55.1)64 (64.6)157 (64.3)< 0.001
    BCS1037 (48.6)186 (44.9)35 (35.4)87 (35.7)
    Unknown24431
Axillary op
    SNB787 (36.8)132 (31.8)10 (10.1)55 (22.4)< 0.001
    ALND1257 (58.8)259 (62.4)85 (85.9)181 (73.9)
    No op92 (4.3)24 (5.8)4 (4.0)9 (3.7)
    Unknown20330

ALND, axillary lymph node dissection; BCS, breast conserving surgery; ER, estrogen receptor; HER2, human epidermal growth factor receptor 2; ILC, invasive lobular carcinoma; LVI, lymphovascular invasion; PR, progesterone receptor; SNB, sentinel node biopsy; TM, total mastectomy.

  20 in total

1.  Mammographic detection and staging of invasive lobular carcinoma.

Authors:  Jeroen Veltman; C Boetes; L van Die; P Bult; J G Blickman; J O Barentsz
Journal:  Clin Imaging       Date:  2006 Mar-Apr       Impact factor: 1.605

2.  Radiographic features of invasive lobular carcinoma of the breast.

Authors:  N Uchiyama; K Miyakawa; N Moriyama; T Kumazaki
Journal:  Radiat Med       Date:  2001 Jan-Feb

3.  Invasive lobular vs. ductal breast cancer: a stage-matched comparison of outcomes.

Authors:  Nabil Wasif; Melinda A Maggard; Clifford Y Ko; Armando E Giuliano
Journal:  Ann Surg Oncol       Date:  2010-02-17       Impact factor: 5.344

4.  Changing patterns in the clinical characteristics of Korean patients with breast cancer during the last 15 years.

Authors:  Byung Ho Son; Beom Seok Kwak; Jeong Kyeung Kim; Hee Jeong Kim; Soo Jung Hong; Jung Sun Lee; Ui Kang Hwang; Ho Sung Yoon; Sei Hyun Ahn
Journal:  Arch Surg       Date:  2006-02

5.  Chronological Improvement in Survival of Patients with Breast Cancer: A Large-Scale, Single-Center Study.

Authors:  Sae Byul Lee; Guiyun Sohn; Jisun Kim; Il Yong Chung; Hee Jeong Kim; Beom Seok Ko; Jong Won Lee; Byung Ho Son; Sung-Bae Kim; Sei-Hyun Ahn
Journal:  J Breast Cancer       Date:  2018-03-23       Impact factor: 3.588

6.  Changing patterns in the clinical characteristics of korean breast cancer from 1996-2010 using an online nationwide breast cancer database.

Authors:  Beom Seok Ko; Woo Chul Noh; Sung Soo Kang; Byeong Woo Park; Eun Young Kang; Nam Sun Paik; Jung Hyun Yang; Sei Hyun Ahn
Journal:  J Breast Cancer       Date:  2012-12-31       Impact factor: 3.588

7.  A comparison of the clinical outcomes of patients with invasive lobular carcinoma and invasive ductal carcinoma of the breast according to molecular subtype in a Korean population.

Authors:  Seung Taek Lim; Jong Han Yu; Heung Kyu Park; Byung In Moon; Byung Kyun Ko; Young Jin Suh
Journal:  World J Surg Oncol       Date:  2014-03-13       Impact factor: 2.754

8.  Invasive lobular carcinoma of the breast: A special histological type compared with invasive ductal carcinoma.

Authors:  Zheling Chen; Jiao Yang; Shuting Li; Meng Lv; Yanwei Shen; Biyuan Wang; Pan Li; Min Yi; Xiao'ai Zhao; Lingxiao Zhang; Le Wang; Jin Yang
Journal:  PLoS One       Date:  2017-09-01       Impact factor: 3.240

9.  Histologic subtyping affecting outcome of triple negative breast cancer: a large Sardinian population-based analysis.

Authors:  Francesca Sanges; Matteo Floris; Paolo Cossu-Rocca; Maria R Muroni; Giovanna Pira; Silvana Anna Maria Urru; Renata Barrocu; Silvano Gallus; Cristina Bosetti; Maurizio D'Incalci; Alessandra Manca; Maria Gabriela Uras; Ricardo Medda; Elisabetta Sollai; Alma Murgia; Dolores Palmas; Francesco Atzori; Angelo Zinellu; Francesca Cambosu; Tiziana Moi; Massimo Ghiani; Vincenzo Marras; Maria Cristina Santona; Luisa Canu; Enrichetta Valle; Maria Giuseppina Sarobba; Daniela Onnis; Anna Asunis; Sergio Cossu; Sandra Orrù; Maria Rosaria De Miglio
Journal:  BMC Cancer       Date:  2020-06-02       Impact factor: 4.430

Review 10.  Breast Cancer Statistics in Korea in 2017: Data from a Breast Cancer Registry.

Authors:  Sang Yull Kang; Yoo Seok Kim; Zisun Kim; Hyun Yul Kim; Hee Jeong Kim; Sungmin Park; Soo Youn Bae; Kwang Hyun Yoon; Sae Byul Lee; Se Kyung Lee; Kyu-Won Jung; Jaihong Han; Hyun Jo Youn
Journal:  J Breast Cancer       Date:  2020-04-07       Impact factor: 3.588

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