{"id":6911113,"identifier":"DVN/AFTWMD","persistentUrl":"https://doi.org/10.7910/DVN/AFTWMD","protocol":"doi","authority":"10.7910","separator":"/","publisher":"Harvard Dataverse","publicationDate":"2023-02-08","storageIdentifier":"file://10.7910/DVN/AFTWMD","datasetType":"dataset","datasetVersion":{"id":340476,"datasetId":6911113,"datasetPersistentId":"doi:10.7910/DVN/AFTWMD","storageIdentifier":"file://10.7910/DVN/AFTWMD","versionNumber":2,"versionMinorNumber":1,"versionState":"RELEASED","latestVersionPublishingState":"RELEASED","deaccessionLink":"","UNF":"UNF:6:/eO7BHuremkVifvv5B+jSw==","lastUpdateTime":"2023-02-08T07:37:03Z","releaseTime":"2023-02-08T07:37:03Z","createTime":"2023-02-08T07:36:06Z","publicationDate":"2023-02-08","citationDate":"2023-02-08","license":{"name":"CC0 1.0","uri":"http://creativecommons.org/publicdomain/zero/1.0","iconUri":"https://licensebuttons.net/p/zero/1.0/88x31.png","rightsIdentifier":"CC0-1.0","rightsIdentifierScheme":"SPDX","schemeUri":"https://spdx.org/licenses/","languageCode":"en"},"fileAccessRequest":true,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","name":"citation","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Replication Data for: Classifying Invasive Lobular Carcinoma as Special Type Breast Cancer May Be Reducing Its Treatment Success: A comparison of Survival Among Invasive Lobular Carcinoma"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Cosar, Rusen"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Trakya University Faculty of Medicine"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"Cosar, Rusen"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"Trakya University Faculty of Medicine"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"rusencosar@trakya.edu.tr"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"ORIGINAL RESEARCH   \nCosar et al\nClassifying Invasive Lobular Carcinoma as Special Type Breast Cancer May Be Reducing Its Treatment Success: A comparison of Survival Among Invasive Lobular Carcinoma\n\nRusen Cosar1, Necdet Sut2 , Sernaz Topaloglu3 , Ebru Tastekin4 , Dilek Nurlu1 , Talar Ozler1 , Eylül Şenödeyici5 , Melisa Dedeli1 , Mert Chousein1, Irfan Cicin3\n1Trakya University Faculty of Medicine Department of Radiation Oncology, Edirne, Turkey\n2 Trakya University Faculty of Medicine Department of Biostatistics, Edirne, Turkey\n3Trakya University Faculty of Medicine Department of Medical Oncology, Edirne, Turkey\n4Trakya University Faculty of Medicine Department of Pathology, Edirne, Turkey\n5Trakya University Faculty of Medicine, Edirne, Turkey\n\n\n\n\nCorrespondence: Ruşen Coşar\nTrakya University School of Medicine, \nDepartment of Radiation Oncology, Edirne, Turkey\nTel: +902842361074\nEmail: rusencosar@trakya.edu.tr\n\n\n\n\n\nDisclosure\nThe authors have declared that no competing interests exist. The authors alone are responsible for the content and writing of the paper. The authors declared that this study has received no financial support. “The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.” Voluntary consent form was given to patients or official guardians of deceased patients to use file information. File information was used after the forms were signed by the patient or official guardians of deceased patients.\nAbstract: \nPurpose: The literature contains differentiating information regarding the prognosis of invasive lobular carcinoma. We aimed to address the inconsistency by comparatively examining the clinical features and prognosis of invasive lobular carcinoma patients in our university and to report our experience by dividing our patients into various subgroups.\nPatients and methods: Records of patients with breast cancer admitted to Trakya University School of Medicine Department of Oncology between July 1999 and December 2021 were reviewed. The patients were divided into three groups (No-Special Type Breast Cancer, Invasive Lobular Special Type BC, No-Lobular Special BC). Patient characteristics, treatment methods and oncological results are presented. Survival curves were generated using the Kaplan–Meier method. Statistical significance of survival among the selected variables was compared by using the log-rank test.\nResults: The patients in our study consisted of 2142 female and 15 male breast cancer patients. There were 1814 patients with Non-Special Type Breast Carcinoma, 193 patients with Lobular Special Type Breast Carcinoma, and 150 patients with Non-Lobular Special Type Breast Carcinoma. The duration of disease free survival (DFS) was 226.5 months for the No-Special Type group, 216.7 months for the No-Lobular Special Type group, and 197.2 months for the Lobular Special Type group, whereas the duration of overall survival (OS) was 233.2 months for the Non-Special Type group, 227.9 for the No-Lobular Special Type group, and 209.8 for the Lobular Special Type group. The duration of both DFS and OS was the lowest in the Lobular Special Type group. Multivariate factors that were significant risk factors for OS were Lobular Special Type histopathology (p=.045), T stage, N stage, stage, skin infiltration, positive surgical margins, high histological grade and mitotic index. Modified radical mastectomy, chemotherapy, radiotherapy and use of Tamoxifen and aromatase inhibitors for more than 5 years were significant protective factors for overall survival.\nConclusion: The histopathological subgroup with the worst prognosis in our study was Lobular Special Type. Duration of DFS and OS were significantly shorter in Lobular Special Type than No-Lobular Special Type group. Whether Lobular Special Type should be classified as a Special Type Breast Tumor should be reconsidered, and a more accurate treatment and follow-up process may be required.\nKeywords: No-Special Type Breast Cancer, Special Type Breast Cancer, Invasive Lobular Cancer, Non-Lobular Special Type Breast Cancer, Invasive Ductal Breast Cancer\nIntroduction\nInvasive lobular breast cancer (ILC) is the most common special histological type of breast cancer (BC). While ILC accounts for 5% of invasive carcinomas, its incidence has increased up to 10-14% with the developments in diagnostic methods and novel discoveries. However, ILC remains less common in Asian populations (2–6%)1-6. As the incidence of ILC is significantly less than invasive ductal carcinoma (IDC), the most common histopathological subtype of breast cancer, its clinical and prognostic features and biological behavior become clearer as more studies are published7-15. \nILC is within the Special Type BC group, along with tubular, mucinous, papillary, micropapillary, medullary, metaplastic, and apocrine histopathological subtypes, whereas IDC is among the No-Special Type BC group composed of highly heterogeneous subtypes10. ILC stands out among the other histopathological subtypes in the Special Type BC group with its distinct clinical course, prognosis and biological features. While the survival rate of ILC was better than or similar to that of IDC in series with less than 6 years of follow-up, the prognosis of ILC was found to be worse than IDC in series with longer follow-up. However, the St Gallen International Expert Consensus guidelines and the National Comprehensive Cancer Network (NCCN) recommend that ILC should be treated with the same treatment paradigms as IDC, despite their many different features. Therefore, systemic treatment decisions for ILC and IDC are often similar (10). Highlighting ILC as the subgroup with better prognosis in the series published in the past years may have prevented the treatment decision from being more aggressive, resulting in worse survival than IDC in the long term6-9, 11-14.\nTreating the “Special” ILC similarly to the “No-Special” IDC may cause the clinicians to overlook important details regarding this patient group13. However, larger tumor diameter, more lymph node metastases, high hormone receptor positivity, loss of E-cadherin and the potential of atypical metastasis are among the currently known distinct features of ILC3, 4. Unlike IDC, ILC shows different growth patterns and biological features, rather than masses that can easily be diagnosed with palpation or mammography. Additionally, an increased rate of multiple metastases, low rates of pathological complete response to neoadjuvant chemotherapy, and frequent positive surgical margins are among the features that make ILC more remarkable14,15.\nDifferent information in the literature regarding prognosis has led us to comparatively examine the clinical features and prognosis of ILC patients in our series. We aimed to determine our own patient characteristics and report our treatment experience of ILC by dividing our patient series into various subgroups.\n\nMaterial and methods\nPatient characteristics\nPatients with breast cancer who applied to Trakya University School of Medicine Departments of Radiation Oncology and Medical Oncology between July 1999 and December 2021 were retrospectively analyzed. Approval was obtained from the Human Research Ethics Committee of Trakya University Medical Faculty Hospital (TUTF-BAEK 2022/170) for the use of patient information in the study. The consent form was submitted to the local ethics committee (Trakya University Faculty of Medicine Dean's Non-Invasive Scientific Research Ethics Committee, Edirne, Turkey). Informed consent forms were prepared in accordance with the Declaration of Helsinki. In the study, permission was obtained from the patients, and if the patient died, from the legal guardians of the patients, by signing a written consent form, to use the information in the registry files containing the patient information.\nMedical records and pathological reports were retrospectively converted into SPSS data to evaluate the clinicopathological features. After excluding 190 patients with ductal carcinoma in situ and lobular carcinoma in situ from a total of 2347 breast cancer patients, the remaining 2157 patients with invasive carcinoma were included in the study. The patients in our series consisted of 2142 female and 15 male breast cancer patients. No-Special Type BC (Completely invasive ductal carcinoma, IDC) and Special Type BC were divided as invasive lobular carcinoma (ILC), mixed type (IDC+ILC), epidermoid carcinoma, mucinous carcinoma, medullary carcinoma, papillary carcinoma, tubular carcinoma, adenoid cystic carcinoma, secretory carcinoma, apocrine carcinoma, and metaplastic carcinoma. Later, the patients were divided into three groups: Non-Special Type BC (IDC) (n=1814), Lobular Special Type (ILC, ILC+IDC mixed type) (n=193), and Non-Lobular Special Type BC (n=150). Disease-free survival (DFS) and overall survival (OS) analyzes of the patient groups were performed. Patient characteristics were tabulated as ratios and numbers, and comparisons were made between groups. Finally, univariate and multivariate analyzes of factors affecting DFS and OS were performed. \n\nClinicopathological Features\nPathological and clinical staging in our series was performed according to the seventh edition of the American Joint Committee on Cancer Staging Manual16. IDC, Non-Lobular Special Type, ILC, and histopathological diagnoses were evaluated using hematoxylin-eosin staining by pathologists specializing in breast cancer at Trakya University School of Medicine Department of Pathology. Estrogen receptor (ER) and progesterone receptor (PR) positivity were determined by immunohistochemical staining. Hormone receptor positivity was defined as an ER score greater than or equal to 3 on the Allred Score (17). HER2 positive was defined as a Herceptest score of 3+ or a Herceptest score of 2+ followed by fluorescent in situ hybridization (FISH) positive18. Luminal type was defined as ER positive and HER2 negative. Histological grading was done using the Nottingham histological grading system. Pathological staging for extensive intraductal carcinoma (EIC), lymphovascular invasion (LVI), and perineural invasion (PNI) was done according to the seventh edition of the American Joint Committee on Cancer Staging Manual17. \n\nStatistical Analysis\nNumerical results are expressed as the mean ± standard deviation, and categorical results are shown as n (%). Kaplan-Meier method was used to generate the survival curves. Log-rank test was used to compare the statistical significance of survival among the selected variables. Hazard ratios were estimated using univariate Cox regression analysis. Multivariate Cox regression analysis with backward elimination method was used to estimate hazard ratios and identify independent prognostic factors. All p values are two-sided, and p<0.05 indicates statistical significance. Data analysis was performed using SPSS version 20.0 (IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.).\nResults\nOut of 2157 patients, 1814 patients had No-Special Type BC and 342 patients had Special Type BC. No statistically significant difference between DFS and OS was found (Table 1, Figure 1a, 1b).\nIn the second step, we divided our patient series into three groups as No-Special Type BC (n=1814), ILC Special Type BC(n=193), No-Lobular Special Type BC (n=150). The rate of ILC patients in our series was 8.9%. 4.1% (n=8) of ILCs contained pleomorphic components.  When all three groups were compared, the differences between the durations of both DFS and OS were statistically significant. The duration of DFS was 226.5 months for the IDC group, 216.7 months for the No-Lobular Special Type group, and 197.2 months for the ILC group, whereas the duration of OS was 233.2 months for the IDC group, 227.9 for the No-Lobular Special Type group, and 209.8 for the ILC group. The duration of both DFS and OS was the lowest in the ILC group (Tables 2, Figure 2a, 2b). \nThe histopathological subgroup distribution, which consisted of ER, PR, Ki67 and CerbB2, was 80.98% Luminal AB, 11.41% Triple Negative, 7.1% HER2 enriched for IDC, while Non-Lobular Special Type was divided as 68.67% Luminal AB, 24.67% Triple negative, 6.67% HER2 enriched, and ILC was divided as 94.30% Luminal AB, 4.66% Triple negative, 1.04% HER2 enriched. The subgroup dominating the histopathological subgroup of ILC was Luminal A-B with a rate of 94.30% (Fig. 3a, 3b, 3c).\nPatient characteristics of all three groups (IDC, Non-Lobular Special Type, ILC) were analyzed (Table 3). Gender, age, menstruation, family history, histological type, tumor quadrant, T stage, N stage, stage, metastasis site, breast surgery type (modified radical mastectomy/ breast conserving surgery), axillary surgery type (axillary curettage/sentinel lymph node sampling), skin infiltration, surgical margin ( in patients with positive surgical resection margin, re-excision was performed first and the surgical resection margin was positive despite this), tumour grade, mitotic index (MI), ER, PR, Ki67 (<15, ≥15), HER2, EIC, LVI, PNI, subgroup (Luminal A, Luminal B, Triple Negative, HER2 enriched), presence of anti-hormonal therapy, duration of Tamoxifen (TAM) and Aromatase Inhibitor (AI) use, use of Herceptin, and type of chemotherapy (CT) [ No CT, AC+TXT (doxorubicin and cyclophosphamide followed by paclitaxel), FAC (fluorouracil, doxorubicin, cyclophosphamide)-FEC (floro-urasil, epirubisin, cyclophosphamide), -TAC (docetaxel, doxorubicin, cyclophosphamide), FAC-FEC+TXT, Ribociclib + Palbociclib, CMF (Cyclophosphamide Methotrexate Fluorouracil)] were analyzed as numbers and rates. Fisher exact test was used to compare the patient characteristics of the three groups. In the same table was made for the statistically significant patient characteristics of the three groups (Table 3). \nThe distribution of patient characteristics of the 3 histopathological subgroups are shown in Table 3. Of the 193 patients in the Lobular Special Type BC group in our series, 138 were pure ILC, and 55 were IDC+ILC BC patients. All patients in the ILC group were women, mostly over 50 years of age and in the postmenopausal period. There was no significant difference in the presence of family history and bilateral arrangement among the 3 groups. While the rate of MRM in breast surgery was 45.5% (n=982), only 7 of the patients had skin-sparing mastectomy. Periareolar and multifocal localizations were slightly more common in the ILC group. A pairwise comparison of patient characteristics of all three groups were done. \n\nILC/IDC patient characteristics \nT stage, PNI positivity, ER and PR positivity rates were higher in ILC, while Ki67, CerbB2 positivity, MI (mitotic index) and histological grade rates were higher in IDC. Subgroup, rate of anti-hormonal treatment use, duration of TAM and AI use, CT type, and metastasis location were the features that showed significant difference between ILC and IDC.  Breast and axillary surgery type and surgical margin positivity were not different between the two histopathological groups (Table 3). Although not statistically significant, MRM was detected in 47.9% of the IDC and 51.6% of the ILC.   While 83.2% of breast cancer patients with IDC histopathology received chemotherapy, this rate was 78.2% in the ILC histopathological subgroup, and this difference was calculated differently at the level of statistical significance.\n\nILC/No-Lobular Special Type patient characteristics\nN stage, stage, surgery type (breast and axillary surgery type), PNI, LVI, subgroup, ER and PR positivity, HG, duration of anti-hormonal therapy, duration of TAM and AI use, RT type, CT type, recurrence/metastasis rates and mortality rate were significantly higher in the ILC group (Table 3). While the MRM rate was 51.6% more preferred in ILC in surgical treatment, BCS was preferred with 66.2% in No-Lobular Special Type BC, and this difference was statistically significant. In No-Lobular Special Type BC, the rate of administration of chemotherapy was 71.3%, the histopathological subgroup in which the least chemotherapy was preferred.\nIDC/ No-Lobular Special Type patient characteristics\nThe quadrant where the tumor is located, T stage, N stage, stage, surgical type (breast and axillar surgery), PNI, LVI, EIC, subgroup, ER and PR positivity, Ki67 rate, CerbB2 positivity, HG, presence of anti-hormonal therapy, RT type, CT type, metastasis location, recurrence/metastasis rate and death rate were found to be significantly higher in the IDC group. While MRM was preferred 47.9% in IDC histopathology, 33.8% preferred in No-Lobular Special Type BC histopathology. In the axillary surgery option, 25% in SLND, IDC, 30.4% in No-Lobular Special Type BC, and 75% and 69.6% in AK, respectively (Table 3).\nCox regression test was used to examine the histopathological subgroups and patient characteristics with these three different clinical and pathological features. Multivariate factors that were significant risk factors for DFS in our study were age, being in the postmenopausal period, multicentric location, T stage, stage, HER2 positivity and MI, while duration of TAM and AI use, and use of Herceptin were the significant protective factors for DFS (Tables 4, 5). Multivariate factors that were significant risk factors for OS were ILC histopathology (p=.045), T stage, N stage, stage, skin infiltration, positive surgical margins, high histological grade and mitotic index. Modified radical mastectomy (MRM), chemotherapy (CT), radiotherapy (RT) and use of TAM and AI for more than 5 years were significant protective factors for OS (Tables 6, 7)\n\nDiscussion\nThe classification of special types of breast cancer recommended by the World Health Organization is beginning to take a wider place in literature because of their distinct biological behavior and clinical characteristics compared to no-special types of breast cancer15. Additionally, subtypes in the special breast cancer group may behave very differently from each other. ILC is considered notable for its distinctive biological behavior and unusual organ metastases and is included in Special Type BC because of studies showing it has a better prognosis than IDC6, 20-24. However, studies with longer periods of follow-up show that ILC has worse prognosis than IDC6, 14, 25. Survival data, which differ from each other and change over the years, call into question the status of ILC in the Special Type BC group. A separate classification may be necessary for subtypes in this group. \nWhen the patients in our study were divided into two subgroups (No-Special Type BC, Special Type BC), no significant difference was observed regarding DFS and OS. When the data was later reanalyzed by removing ILC from the Special Type BC and treating it as a third, distinct subgroup, ILC was found to have the lowest duration of DFS and OS. There was a significant difference between the duration of DFS and OS of IDC and No-Lobular Special Type BC. The duration of DFS and OS showed significant difference in ILC and No-Lobular Special Type BC as well. Although IDC and ILC did not have a statistically significant difference regarding DFS and OS, the difference was still remarkable. ILC and IDC have similar durations of DFS in the first 6 years. After 6 years however, the survival curve for ILC was lower than of IDC, and the difference becomes more pronounced after the 17th year. OS for ILC showed a lower course than IDC after 14 years. Although the difference between the duration of OS in ILC and IDC were not statistically significant, ILC significantly increased the risk of death by 1.457(1.009-2.104) times, (p=.045) in the Cox regression risk analysis.\nSpecial Type-BC has a lower incidence, which may have resulted in limited knowledge of the clinical and biological features of the histopathological subtypes within the group. However, recent studies with longer follow-up periods have reported a lower survival rate, especially for ILC, contrary to current information14, 26. The increase of incidence and low survival rates may force the clinicians to reconsider treatment options and the frequency of follow-ups.\nA study by Toikkanen et al7 showed ILC had better prognosis than IDC despite 30 years of follow-up, which precludes interpretation by the length of follow-up alone. As a result, when ILC is analyzed yearly, an increase in its incidence is seen. Earlier studies1, 2, 4, 7 show ILC to have lower grade, mitotic activity, T stage, N stage, stage, and ER positivity with a higher rate of bilateral arrangement, while more recent studies14, 26 report higher histologic grade and mitotic activity, and diagnosis at more advanced stages. Our study shows that ILC is associated with larger tumor size, older age, more advanced T and N stage, lower grade, higher ER and PR positivity, and lower HER2 expression, while the rate of bilateral arrangement was not higher. This may suggest that the biological behavior of ILC has become more aggressive over the years. It should be noted that the lack of difference between IDC and ILC in terms of surgical margin positivity, breast surgery and axillary surgery type in our series is evidence that it does not show a worse prognosis due to residual disease or incomplete treatment. In the multivariate analysis for DFS, neither breast nor axillary surgery type increased the risk of events. In OS, the risk increased 1.5 times at the statistical significance level (p=0.008) in patients who underwent MRM. In the axillary surgery type, the risk increased by 1.4 in patients who underwent AC which was close to statistical significance (p=0.099). In this case, it is proof that more radical surgical interventions are preferred in patients with high risk. This proves that incomplete surgery or less aggressive surgical methods are not preferred when interpreting the results in our series with peace of mind.\nRecent studies suggest whether IDC is the most common histopathological subgroup with the worst prognosis should be re-evaluated. Having the lowest course on the survival curve, patients with ILC may require a more careful approach. Our study suggests that reviewing the current treatment guidelines may be required. Increased incidence of ILC may be linked to improved diagnostic approach. Whether ILC has a better or similar prognosis and higher rates of bilateral arrangement in comparison to IDC deserves restatement. \nIn fact, when studies are handled individually and carefully, we can see clues that may belong to a poor prognosis. For example, studies in which pathological complete response to neoadjuvant chemotherapy is rare and positive surgical margin rate is higher in ILC.13, 22,26   This uncertainty has even made mastectomy a more common treatment option for ILC than IDC6,7,14. Again in a retrospective series, with only larger tumor size as a poor prognostic factor, ILC had lower survival compared to IDC6. Pestalozzi et al., on the other hand, associated the difference in survival with stage and reported that the early-stage prognosis of ILC is better than IDC, but the late-stage prognosis of ILC is worse14,25. Since ILC presents itself with diffuse or spreading lesions rather than a mass, it has been stated that breast MRI is more helpful than mammography in the diagnosis of such lesions being satisfied with mammography alone may cause delays in the diagnosis of ILC.26,27. Failure to encode the E-Cadherin protein encoded by the CHD1 gene due to somatic mutation is a pathognomonic condition for ILC compared to IDC. The E-Cadherin protein not only plays a role in the adhesion of cells to each other to form tissues and in the transmission of chemical signals within the cell, cell maturation and controlling cell movement, it also functions as a tumor suppressor protein28-30. Deletion of E-Cadherin and PI3K pathways may be the cause of infiltrative growth pattern and frequent surgical margin positivity31,32.\nPrecisely for this reason, the results of the ROSALINE (NCT04551495) phase II study with entrectinib, a tyrosine kinase inhibitor targeting TRK, ROS1 and ALK tyrosine kinases, with promising in vivo results are eagerly awaited. It is aimed to measure the antitumor efficacy of entrectinib and endocrine therapy as neoadjuvant in ER-positive, HER2-negative ILC BC patients33. Metastatik ILC'si olan hastalar için, CDH1, NF1, PIK3CA ve TBX3'teki mutasyonlar, tümör mutasyon yükü (TMB) olarak ölçülür ve  metastatik IDC'si olan hastalara göre daha yüksektir. The effect of atezolizumab, a carboplatin and immune checkpoint inhibitors (ICIs), will be measured in the GELATO study, which is planned for metastatic lobular breast cancer assessing efficacy with mutationa burden (TMB)34.\nThe limitation of our study is that, apart from a retrospective series and comparison of clinical features and treatment outcomes for ILC, no additional molecular comparison could be made. However, pre-clinical and clinical molecular studies have been and continue to be conducted in order to explain the clinical process difference in ILC. The fact that the reason for the different clinical course and biology of the ILC subtype of breast cancer has begun to be revealed raises our hopes that the treatment options will also differ in the coming years and that the risk of developing late recurrence and metastasis will be reduced or eliminated with more effective treatments.   \nConclusion\nThe increase in the incidence of the ILC histopathological subgroup of breast cancer in recent years has not only made it possible to understand that it has a different course compared to IDC, but also has led to the fact that systemic and local treatment decisions are different over time. In our study and other studies with long follow-up, we show that ILC has the lowest DFS and OS among all histological subgroups. Therefore, the classification of ILC into Special Type BC should be reassessed and current treatment guidelines may need to be revised, particularly as ILC-specific study results begin to emerge.\n\nAcknowledgments \nDisclosure\nThe authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper. The authors declare that this study has received no financial support. Informed consent form was obtained from the patients, their legal guardians or relatives of the deceased patients to use relevant information. Any data was used after informed consent forms were signed by the patients, their legal guardians or relatives of the deceased patients.\nReferences \n1.\tLi CI, Anderson BO, Porter P, Holt SK, Daling JR, Moe RE. Changing incidence rate of invasive lobular breast carcinoma among older women. Cancer 2000;88: 2561–2569.  \n2.\tArpino G, Bardou VJ, Clark GM, Elledge RM. 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J Clin Oncol. 2007 25(1):118–45.\n20.\tWilson N, Ironside A, Diana A, Oikonomidou O. Lobular breast cancer: A Review. Front. Oncol. 2021 10:591399.\n21.\tFerlicot S, Vincent-Salomon A, Médioni J, Genin P, Rosty C, Sigal-Zafrani B, et al. Wide metastatic spreading in infiltrating lobular carcinoma of the breast. Eur J Cancer. 2004 40(3):336-41.\n22.\tDelpech Y, Coutant C, Hsu L, Barranger E, Iwamoto T, Barcenas CH, et al. Clinical benefit from neoadjuvant chemotherapy in oestrogen receptor-positive invasive ductal and lobular carcinomas. Br J Cancer. 2013 5;108(2):285-91.\n23.\tGannon LM, Cotter MB, Quinn CM. The classification of invasive carcinoma of the breast. Expert Rev Anticancer Ther. 2013 13(8):941-54.\n24.\tAlexander J, Mariani O, Meaudre C, Fuhrmann L, Xiao H, Naidoo K, et al. Assessment of the molecular heterogeneity of e-cadherin expression in ınvasive lobular breast cancer. Cancers. 2022 7;14(2):295. \n25.\tChen Z, Yang J, Li S, Lv M, Shen Y, Wang B, et al. Invasive lobular carcinoma of the breast: A special histological type compared with invasive ductal carcinoma. PLOS ONE 2017 Sep 1;12(9): e0182397. doi: 10.1371/journal.pone.0182397\n26.\tFortunato L, Mascaro A, Poccia I, Andrich R, Amini M, Costarelli L, et al. Lobular breast cancer: Same survival and local control compared with ductal cancer, but should both be treated the same way? Analysis of an institutional database over a 10-year period. Ann Surg Oncol 2011 19(4):1107–14.  \n27.\tMann RM. The effectiveness of MR Imaging in the assessment of invasive lobular carcinoma of the breast. Magn Reson Imaging Clin North Am. 2010 18(2):259–76.\n28.\tCiriello G, Gatza ML, Beck AH, Wilkerson MD, Rhie SK, Pastore A, et al. Comprehensive Molecular Portraits of Invasive Lobular Breast Cancer. Cell. 2015 Oct 8;163(2):506-19. doi: 10.1016/j.cell.2015.09.033. \n29.\tVan Baelen K, Geukens T, Maetens M, Tjan-Heijnen V, Lord CJ, Linn S, et al. Current and future diagnostic and treatment strategies for patients with invasive lobular breast cancer. Ann Oncol. 2022 Aug;33(8):769-785. doi: 10.1016/j.annonc.2022.05.006.\n30.\t McCart Reed AE, Foong S, Kutasovic JR, Nones K, Waddell N, Lakhani SR, et al. The genomic landscape of lobular breast cancer. Cancers 2021 18;13(8):1950. \n31.\tDanzinger S, Hielscher N, Izsó M, Metzler J, Trinkl C, Pfeifer C, et al. Invasive lobular carcinoma: Clinicopathological features and subtypes. J Int Med Res. 2021 49(6):030006052110170.  \n32.\tPramod N, Nigam A, Basree M, Mawalkar R, Mehra S, Shinde N, et al. Comprehensive review of molecular mechanisms and clinical features of invasive lobular cancer. Oncologist 2021 26(6):943-53. \n33.\tAgostinetto E, Nader-Marta G, Paesmans M, Ameye L, Veys I, Buisseret L, et al. ROSALINE: a phase II, neoadjuvant study targeting ROS1 in combination with endocrine therapy in invasive lobular carcinoma of the breast. Future Oncol. 2022 Jul;18(22):2383-2392. doi: 10.2217/fon-2022-0358. \n34.\tAssessinG Efficacy of Carboplatin and ATezOlizumab in Metastatic Lobular Breast Cancer-FullTextViewClinicalTrials.gov.Availableat https://clinicaltrials.gov/ct2/show/NCT03147040?cond¼GELATO&draw ¼2&rank¼1. Accessed June 5, 2022.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTable 1. DFS and OS times, comparative Log-rank test, p-value values of Non-Special Type BC and Special Type BC subgroups obtained using Kaplan-Meier method\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\t\tNon-Special Type BC\tSpecial Type BC\tP value\n\t\t\t\t(Long-rank test)\nDFS\tMean± SD\t226,5 ± 3,4\t208,2 ± 6,6\t.234\n\t\t\t\t\n\t95% CI\t219,8-233,1\t195,2- 221,2\t\nOS\tMean± SD\t233,2 ± 3,5\t221,8 ± 6,4\t.379\n\t\t\t\t\n\t95% CI\t226,3 – 240,1\t209,2 – 234,4\t\n\n\n\n\n\n\n\nTable 2. DFS and OS times, comparative Log-rank test, p-value values of Non-Special Type BC and Non-Lobular Special Type BC, ILC subgroups obtained using Kaplan-Meier method\nDFS\t\tNo-Special Type BC (IDC)\tNo-Lobular Special Type BC\tLobular Special Type BC (ILC)\n\t\t\t\t\nP value\tMean±SD\t226,5 ± 3,4\t216,7±8,7\t197,2 ± 8,9\n(Long-rank test)\t95% CI\t219,8-233,1\t199,6-233,7\t179,6 – 214,7\nNo-Special Type BC (IDC)\nLobular Special Type BC\n(ILC)\t\t\t.020\t\n\t\t\t\t\n\t\t.717\t.029\t\nOS\tMean±SD\t233,2 ± 3,5\t227,9 ± 7,9\t209,8±8,7\n\t95% CI\t226,3 – 240,1\t212,3 – 243,5\t192,6-227,0\nNon-Special Type BC (IDC)\t\t\t.024\t.504\nLobular Special Type BC (ILC)\t\t\t.018\t\nDFS: Disease free survival, OS: Overall survival, SD: Standard deviation, CI: Confidence Interval\n\n\n\n\n\n\n\n\n\nTable 3. Distribution of patient characteristics\n\tNon-Special Type BC\n(IDC)\tInvasive Lobular Special Type BC\n(ILC)\tNon-lobular Special Type BC\n\tN\t%\tn\t%\tn\t%\nGender\n\t\t\t\t\t\t\nFemale\t1800\t99.2\t193\t100\t150\t99.33\nMale\t15\t0.8\t0\t0\t0\t0.7\nAge\n\t92\t5.10%\t11\t5.7\t9\t6\n<35\t\t\t\t\t\t\n35-50\t696\t38.4\t85\t44\t58\t38.7\n>50\t1026\t56.6\t97\t50.3\t83\t55.3\nMenstruation State\n\t\t\t\t\t\t\nPremenopausal\t701\t38.9\t81\t42\t54\t36.2\nPostmenopausal\t1099\t61.1\t112\t58\t95\t63.8\nPresence of Family History\t536\t29.5\t54\t28\t37\t24.7\nHistological Type\n\t\t\t\t\t\t\nIDC\t1761\t97.1\t\t\t\t\nILC\t\t\t138\t71.5\t\t\nIDC+ILC\t\t\t55\t28.5\t\t\nMucinous\t\t\t\t\t44\t29.3\nMedullary\t\t\t\t\t34\t22.7\nPapillary\t\t\t\t\t25\t16.7\nTubular\t\t\t\t\t12\t8\nAdenoid Cystic\t\t\t\t\t4\t2.7\nSecretory\t\t\t\t\t2\t1.3\nApocrine\t\t\t\t\t15\t10\nMetaplastic\t\t\t\t\t11\t7.3\nEpidermoid\t\t\t\t\t3\t2\nBreast\n\t\t\t\t\t\t\nRight\t869\t47.9\t103\t53.4\t69\t46\nLeft\t885\t48.8\t82\t42.5\t75\t50\nBilateral\t60\t3.3\t8\t4.1\t6\t4\nTumor       Quadrant***\n\t\t\t\t\t\t\nInner\t351\t19.3\t44\t22.8\t40\t26.7\nOuter\t1085\t59.8\t104\t53.9\t89\t59.3\nPeriareolar\t239\t13.2\t29\t15\t11\t7.3\nMultifocal\t139\t7.7\t16\t8.3\t10\t6.7\nTm Size*\n\t\t\t\t\t\t\nT1\t609\t33.6\t54\t28\t51\t34\nT2\t948\t52.3\t98\t50.8\t80\t53.3\nT3\t135\t7.4\t26\t13.5\t15\t10\nT4\t122\t6.7\t15\t7.8\t4\t2.7\nNumber of Infiltrated Axillary Nodes**, ***\n\t\t\t\t\t\t\n0\t736\t40.6\t74\t38.3\t90\t60\n1-3\t476\t26.2\t59\t30.6\t29\t19.3\n4-9\t394\t21.7\t32\t16.6\t21\t14\n≥10\t208\t11.5\t28\t14.5\t10\t6.7\nStage*, ***\n\t\t\t\t\t\t\nI\t366\t20.2\t38\t19.7\t41\t27.3\nII\t778\t42.9\t78\t40.4\t75\t50\nIII\t538\t29.7\t66\t34.2\t29\t19.3\nIV\t132\t7.3\t11\t5.7\t5\t3.3\nSite of Metastasis\n\t\t\t\t\t\t\nNone\t1460\t80.5\t152\t78.8\t134\t89.3\nBone\t123\t6.8\t18\t9.3\t5\t3.3\nLung\t16\t0.9\t3\t1.6\t4\t2.7\nLiver\t13\t0.7\t1\t0.5\t0\t0\nBrain\t21\t1.2\t2\t1\t1\t0.7\nMultiple\t181\t10\t16\t8.3\t6\t4\nBreast Surgery Type\n**, ***\n\t\n\t\t\t\t\t\nMRM\t834\t47.9\t98\t51.6\t50\t33.8\nBCS\t907\t52.1\t92\t48.4\t98\t66.2\nAxillarySurgery Type\n\t\t\t\t\t\t\nSLND\t435\t25\t48\t25.3\t45\t30.4\nAC\t1306\t75\t142\t74.7\t103\t69.6\nSkin Infiltration\t147\t8.1\t14\t7.3\t7\t4.7\nPositive Surgical Margin \t337\t18.6\t41\t21.2\t27\t18\nHistological Grade*, **, ***\n\t\t\t\t\t\t\n1\t219\t12.1\t25\t13\t45\t30\n2\t859\t47.4\t111\t57.5\t55\t36.7\n3\n\t736\t40.6\t57\t29.5\t50\t33.3\nMitotic index\n*, ***\n\t\t\t\t\t\t\n1\t285\t15.7\t41\t21.2\t37\t24.7\n2\t895\t49.3\t99\t51.3\t79\t52.7\n3\t634\t35\t53\t27.5\t34\t22.7\nER Positive\n*, **, ***\t1434\t79.1\t177\t91.7\t101\t67.3\nPR Positive\n*, **, ***\t1175\t64.8\t165\t85.5\t81\t54\nKi67\n*, ***\n\t\t\t\t\t\t\n<15\t603\t33.3\t86\t44.6\t65\t43.3\n≥15\t1209\t66.7\t107\t55.4\t85\t56.7\nHER2 Positive\t459\t25.3\t24\t12.4\t25\t16.7\nEIC Positive\n***\t309\t17\t33\t17.1\t16\t10.7\nLVI Positive\n**, ***\t881\t48.6\t99\t51.3\t45\t30\nPNI Positive\n*, **, ***\t342\t18.9\t47\t24.4\t11\t7.3\nSubgroup\n*, **, ***\n\t\t\t\t\t\t\nHER2 enriched\t138\t7.6\t2\t1\t10\t6.7\nTriple Negative\t207\t11.4\t9\t4.7\t37\t24.7\nLuminal A\t483\t26.6\t79\t40.9\t50\t33.3\nLuminal B\t986\t54.4\t103\t53.4\t53\t35.3\nAnti-Hormonal Treatment Received\n*, **, ***\n\t1467\t80.9\t181\t93.8\t103\t68.7\nDuration of TAM Use\n\t\t\t\t\t\t\nN/A*, **, ***\t1051\t57.9\t97\t50.3\t101\t67.3\n≤ 5 years\t679\t37.4\t82\t42.5\t43\t28.7\n>5 years\t84\t4.6\t14\t7.3\t6\t4\nDuration of AI Use\n\t\t\t\t\t\t\nN/A*, **\t734\t40.5\t59\t30.6\t72\t48\n≤ 5 years\t850\t46.9\t113\t58.5\t62\t41.3\n>5 years\t230\t12.7\t21\t10.9\t16\t10.7\nHerceptin *Eligibility\t380\t20.9\t20\t10.4\t23\t15.3\nRT Received\t1589\t87.6\t167\t86.5\t129\t86\nRT Type\n\t\t\t\t\t\t\nN/A**, ***\t215\t11.9\t26\t13.5\t20\t13.3\nBreast Only\t515\t28.4\t43\t22.3\t69\t46\nLocoregional\t1084\t59.8\t124\t64.2\t61\t40.7\nCT Received\n\t\t\t\t\t\t\nN/A**, ***\t303\t16.7\t42\t21.8\t43\t28.7\nNeoadjuvant\t236\t13\t20\t10.4\t10\t6.7\nAdjuvant\t1275\t70,3\t131\t67.8\t97\t64.7\nCT Type\n*, **, ***\n\t\t\t\t\t\t\nN/A\t303\t16.7\t42\t21.8\t43\t28.7\nAC+TXT\t875\t48.2\t74\t38.3\t67\t44.7\nFAC-FEC-TAC\t358\t19.7\t57\t29.5\t28\t18\nFAC,FEC+TXT\t209\t11.5\t16\t8.3\t8\t5.3\nRibociclib+Palbociclib\t6\t0.3\t0\t0\t0\t0\nPertuzumab\t22\t1.2\t0\t0\t0\t0\nCMF\t41\t2.3\t4\t2.1\t5\t3.3\nRecurrence\n**, ***\t372\t20.5\t45\t23.3\t19\t12.7\nDeath\n**, ***\t328\t18.1\t43\t22.3\t16\t10.7\nER: Estrogen Receptor, PR: Progesterone Receptor, HER2: Human Epidermal Growth Factor Receptor 2, EIC: Extensive Intraductal Carcinoma, LVI: Lymphovascular Invasion, PNI: Perineural Invasion, TMX: Tamoxifen, AI: Aromatase Inhibitor, RT: Radiotherapy, CT: Chemotherapy, AC: Axillary Curettage SLND: Sentinel Lymph Node Dissection, AC: Adriamycin, Cyclophosphamide, TXT: Taxotere, FAC: Cyclophosphamid, Adriamycin, 5-Fulourouracil, FEC: 5-Fulouracil, Epirubicine, Cyclophosphamide, TAC: Taxotere, Adriamycin, Cyclophosphamid, RIBO+PABLO: Ribociclib+ Palbociclib, CMF: Cyclophosphamide, Methotrexate, Fluorouracil. * Pairwise comparison of all three groups with Fisher's exact test (p<.0.5) in terms of patient characteristics (IDC/ILC). ** Pairwise comparison of all three groups with Fisher's exact test (p<.0.5) in terms of patient characteristics (ILC/No-Lobular Special Type). \n*** Pairwise comparison of all three groups with Fisher's exact test (p<.0.5) in terms of patient characteristics (IDC/No-Lobular Special Type).\n\n\n\n\n\n\nTable 4. Univariate analysis results affecting DFS\n\tRecurrence\tUnivariate Cox Regression\n\tN/A\tPresent\tp\tHR (95% CI)\nAge\t<35\t83 (4.8)\t29(6.7)\t1\t(Reference)\n\t36-50\t691 (40.2)\t148 (33.9)\t.035\t.652(.438-.970)\n\t>50\t947 (55)\t259 (59.4)\t.557\t.891(.607-1.308)\nGender\tFemale\t1714 (99.6)\t428 (98.2)\t.001\t3.265(1.622-6.574)\n\tMale\t7 (0.4)\t8 (1.8)\t\t\nMenstruation Status\tPremenopausal\t688 (40.1)\t148 (34.6)\t.006\t1.320(1.081-1.611)\n\tPostmenopausal\t1026 (59.9)\t280 (65.4)\t\t\nFamily History\tPresent\t513 (29.8)\t114 (26.1)\t.117\t1.187(.958-1.469)\n\tN/A\t1208 (70.2)\t322 (73.9)\t\t\nHistological\nSubtype Group – 1\tNo-Special Type BC\t1442 (83.8)\t372 (85.3)\t.237\t.852(.653-1.1111)\n\tSpecial Type B\t279 (16.2)\t64 (14.7)\t\t\nHistological Subtype Group – 2\tNon-Special Type BC\t1442 (83.8)\t372 (20.5)\t1\t(Reference)\n\tInvasive Lobular Special Type BC\t148 (8.6)\t45 (10.3)\t.724\t1.057(.776-1.441)\n\tNon-lobular Special Type BC\t131 (7.6)\t19 (4.4)\t.022\t.584(.368-.925)\nArrangement\tUnilateral\t1674 (97.3)\t409 (93.8)\t.003\t1.808(1.225-2.670)\n\tBilateral\t47 (2.7)\t27 (6.2)\t\t\nBreast\tLeft\t841 (48.9)\t201 (46.1)\t1\t(Reference)\n\tRight\t833 (48.4)\t208 (47.7)\t.833\t1.021(.841-1.240)\n\tBilateral\t47 (2.7)\t27 (6.2)\t.003\t1.828(1.223-2.732)\n\tInner\t351 (20.4)\t84 (19.3)\t1\t(Reference)\n\tOuter\t1034 (60.1)\t244 (56)\t.954\t1.007(.786-1.291)\nTumor Quadrant\tPeriareolar\t222 (12.9)\t57 (13.1)\t.597\t1.095(.782-1.533)\n\tMulticentric\t114 (6.6)\t51 (11.7)\t<.001\t1.876(1.324-2.657)\nT Stage\tT1\t648 (37.7)\t66 (15.1)\t1\t(Reference)\n\tT2\t889 (51.7)\t237 (54.4)\t<.001\t2.401(1.827-3.154)\n\tT3\t131 (7.6)\t45 (10.3)\t<.001\t2.803(1.919-4.095)\n\tT4\t53 (3.1)\t88 (20.2)\t<.001\t12.650(9.156-17.479)\nN Stage\tN0\t818 (47.5)\t82 (18.8)\t1\t(Reference)\n\tN1\t478 (27.8)\t86 (19.7)\t.001\t1.658(1.225-2.244)\n\tN2\t293 (17)\t154 (35.3)\t.000\t4.808(3.676-6.289)\n\tN3\t132 (7.7)\t114 (26.1)\t.000\t6.817(5.130-9.060)\nStage\tI\t422 (24.5)\t23 (5.3)\t1\t(Reference)\n\tII\t825 (47.9)\t106 (24.3)\t.001\t2.181(1.390-3.424)\n\tIII\t469 (27.3)\t164 (37.6)\t<.001\t5.605(3.622-8.672)\n\tIV\t5 (0.3)\t143 (32.8)\t<.001\t104.241(66.093-164.408)\nSite of Metastasis\n\tN/A\t1719 (99.9)\t27 (6.2)\t1\t(Reference)\n\tBone\t1 (0.1)\t145 (33.3)\t<.001\t167.63(110.55-254.18)\n\tLung\t0 (0)\t23 (5.3)\t<.001\t159.811(90.86-281.08)\n\tLiver\t0 (0)\t14 (3.2)\t<.001\t174.24(90.66-334.87)\n\tBrain\t0 (0)\t24 (5.5)\t<.001\t179.70(102.60-314.73)\n\tMultiple\t1 (0.1)\t203 (46.5)\t<.001\t171.71(113.89-258.88)\nER\tPositive\t1393 (80.9)\t319 (73.2)\t<.001\t1.476(1.194-1.824)\n\tNegative\t328 (19.1)\t117 (26.8)\t\t\nPR\tPositive\t1167 (67.8)\t254 (58.3)\t<.001\t1.499(1.239-1.814)\n\tNegative\t554 (32.2)\t182 (41.7)\t\t\nHER2\tPositive\t383 (22.3)\t125 (28.7)\t<.001\t.668(.542-.823)\nEIC\tN/A\nPresent\t1459 (84.8)\n262 (15.2)\t340 (78)\n96 (22)\t<.001\t1.536(1.224-1.927)\nLVI\tPresent\t809 (47)\t216 (49.5)\t.312\t.908(.752-1.095)\n\tN/A\t912 (53)\t220 (50.5)\t\t\nPNI\tPresent\t311 (18.1)\t89 (20.4)\t.580\t.936(.742-1.182)\n\tN/A\t1410 (81.9)\t347 (79.6)\t\t\nKi67\t<15\t670 (39)\t84 (19.3)\t<.001\t2.481(1.955-3.148)\n\t≥15\t1049 (61)\t352 (80.7)\t\t\nMitotic Index\t1\t342 (19.9)\t21 (4.8)\t1\t(Reference)\n\t2\t913 (53.1)\t160 (36.7)\t<.001\t2.739(1.738-4.318)\n\t3\t466 (27.1)\t255 (58.5)\t<.001\t8.114(5.197-12.669)\nHistologic Grade\tGrade I\t261 (15.2)\t28 (6.4)\t1\t(Reference)\n\tGrade II\t845 (49.1)\t180 (41.3)\t.002\t1.877(1.261-2.795)\n\tGrade III\t615 (35.7)\t228 (52.3)\t<.001\t3.223(2.176-4.774)\nSkin Infiltration\tPresent\t82 (4.8)\t86 (19.7)\t<.001\t.214(.168-.272)\n\tN/A\t1639 (95.2)\t350 (80.3)\t\t\nSurgical Margin\tNegative\t1387 (80.6)\t365 (83.7)\t.664\t.945(.732-1.219)\n\tPositive\t334 (19.4)\t71 (16.3)\t\t\nSubgroup (Luminal)\tLuminal A-B\t1422 (82.6)\t332 (76.1)\t1\t(Reference)\n\tTriple Negative\t199 (11.6)\t54 (12.4)\t.406\t1.130(.847-1.506)\n\tHER2 Enriched\t100 (5.8)\t50 (11.5)\t<.001\t2.139(1.588-2.881)\nSubgroup\tHER2 Enriched\t100 (5.8)\t50 (11.5)\t1\t(Reference)\n\tTriple Negative\t199 (11.6)\t54 (12.4)\t.001\t.527(.359-.775)\n\tLuminal A\t547 (31.8)\t65 (14.9)\t<.001\t.246(.170-.356)\n\tLuminal B\t875 (50.8)\t267 (61.2)\t.001\t.597(.441-.808)\nSurgery\tN/A\t8 (0.5)\t70 (16.1)\t<.001\t.054(.041-.071)\n\tPresent\t1713 (99.5)\t366 (83.9)\t\t\nBreast Surgery Type\tBCS\t970 (56.6)\t127 (34.7)\t<.001\t2.049(1.652-2.542)\n\tMRM\t743 (43.4)\t239 (65.3)\t\t\nAxillary Surgery\tN/A\t8 (0.5)\t70 (16.1)\t<.001\t.054(.041-.071)\n\tPresent\t1713 (99.5)\t366 (83.9)\t\t\nAxillary Surgery Type\tSLND\t481 (28.1)\t47 (12.8)\t<.001\t1.966(1.445-2.674)\n\tAK\t1232 (71.9)\t319 (87.2)\t\t\nAnti-Hormonal Treatment\tPresent\t1419 (82.5)\t332 (76.1)\t.001\t1.454(1.167-1.813)\n\tN/A\t302 (17.5)\t104 (23.9)\t\t\nDuration of TAM Use\tN/A\t1059 (61.5)\t190 (43.6)\t1\t(Reference)\n\t≤ 5 years\t570 (33.1)\t234 (53.7)\t.000\t1.885(1.555-2.284)\n\t>5 years\t92 (5.3)\t12 (2.8)\t.071\t.584(.326-1.047)\nDuration of AI Use\tN/A\t669 (38.9)\t196 (45)\t1\t(Reference)\n\t≤ 5 years\t819 (47.6)\t206 (47.2)\t.075\t.837(.688-1.018)\n\t>5 years\t233 (13.5)\t34 (7.8)\t<.001\t.429(.298-.619)\nRT\tPresent\t1579 (91.7)\t306 (70.2)\t<.001\t3.580(2.914-4.398)\n\tN/A\t142 (8.3)\t130 (29.8)\t\t\nRT Type\tN/A\t134 (7.8)\t127 (29.1)\t1\t(Reference)\n\tBreast Only\t580 (33.7)\t47 (10.8)\t<.001\t.124(.089-.174)\n\tLocoregional\t1007 (58.5)\t262 (60.1)\t<.001\t.350 (.283-.433)\nHerceptin Eligibility\tEligible\t331 (19.2)\t92 (21.1)\t.023\t.765(.607-.965)\n\tIneligible\t1390 (80.8)\t344 (78.9)\t\t\nCT\tN/A\t318 (18.5)\t46 (10.6)\t1\t(Reference)\n\tNeoadjuvant\t184 (10.7)\t82 (18.8)\t<.001\t2.812(1.959-4.035)\n\tAdjuvant\t1219 (70.8)\t308 (70.6)\t.025\t1.424(1.044-1.943)\nCT\nType\tN/A\t328 (19.1)\t60 (13.8)\t1\t(Reference)\n\tAC+TXT\t863 (50.1)\t153 (35.1)\t.986\t.997(.740-1.344)\n\tFAC-FEC-TAC\t310 (18)\t132 (30.3)\t.015\t1.465(1.077-1.994)\n\tFAC-FEC+TXT\t189 (11)\t44 (10.1)\t.932\t.983(.666-1.452)\n\tRIBO+PABLO\t0 (0)\t6 (1.4)\t<.001\t20.437(8.755-47.704)\n\tPERJETA\t2 (0.1)\t20 (4.6)\t<.001\t16.309(9.751-27.276)\n\tCMF\t29 (1.7)\t21 (4.8)\t<.001\t2.663(1.619-4.379)\nER: Estrogen Receptor, PR: Progesterone Receptor, HER2: Human Epidermal Growth Factor Receptor 2, EIC: Extensive Intraductal Carcinoma, LVI: Lymphovascular Invasion, PNI: Perineural Invasion, TMX: Tamoxifen, AI: Aromatase Inhibitor, RT: Radiotherapy, CT: Chemotherapy, AC: Axillary Curettage, SLND: Sentinel Lymph Node Dissection, AC: Adriamycin, Cyclophosphamide, TXT: Taxotere, FAC: Cyclophosphamid, Adriamycin, 5-Fulourouracil, FEC: 5-Fulouracil, Epirubicine, Cyclophosphamide, TAC: Taxotere, Adriamycin, Cyclophosphamid, RIBO+PABLO: Ribociclib+ Palbociclib, CMF: Cyclophosphamide, Methotrexate, Fluorouracil\n\nTable 5. Multivariate analysis results affecting DFS\n\tRecurrence\tMultivariate Cox Regression\n\tN/A\tPresent\tp\tHR (95% CI)\nAge\t<35\t83 (4.8)\t29 (6.7)\t1\t(Reference)\n\t36-50\t691 (40.2)\t148 (33.9)\t.05\t.629(.395-1.000)\n\t>50\t947 (55)\t259 (59.4)\t.175\t.671(.377-1.194)\nMenstruation Status\tPremenopausal\t688 (40.1)\t148 (34.6)\t.025\t1.524(1.054-2.205)\n\tPostmenopausal\t1026 (59.9)\t280 (65.4)\t\t\nHistological Subtype Group- 2\tNon-Special Type BC\t1442 (83.8)\t372 (85.3)\t1\t(Reference)\n\tInvasive Lobular Special Type BC\t148 (8.6)\t45 (10.3)\t.766\t1.053(.748-1.483)\n\tNon-Lobular Special Type BC\t131 (7.6)\t19 (4.4)\t.589\t.871(.529-1.436)\nArrangement\tUnilateral\t1674 (97.3)\t409 (93.8)\t.004\t2.265(1.306-3.927)\n\tBilateral\t47 (2.7)\t27 (6.2)\t\t\nLocation of BC\n\tLeft\t841 (48.9)\t201 (46.1)\t1\t(Reference)\n\tBilateral\t47 (2.7)\t27 (6.2)\t.004\t2.265(1.306-3.927)\n\tMulticentric\t114 (6.6)\t51 (11.7)\t.053\t.874(762-1.001)\nT Stage\tT1\t648 (37.7)\t66 (15.1)\t1\t(Reference)\n\tT2\t889 (51.7)\t237 (54.4)\t.003\t1.737(1.214-2.486)\n\tT3\t131 (7.6)\t45 (10.3)\t.156\t1.417(.875-2.295)\n\tT4\t53 (3.1)\t88 (20.2)\t.015\t2.059(1.154-3.675)\nN Stage\tN0\t818 (47.5)\t82 (18.8)\t1\t(Reference)\n\tN1\t478 (27.8)\t86 (19.7)\t.226\t1.304(.849-2.002)\n\tN2\t293 (17)\t154 (35.3)\t.269\t1.349(.793-2.296)\n\tN3\t132 (7.7)\t114 (26.1)\t.232\t1.396(.808-2.413)\nStage\tI\t422 (24.5)\t23 (5.3)\t1\t(Reference)\n\tII\t825 (47.9)\t106 (24.3)\t.433\t1.265(.703-2.279)\n\tIII\t469 (27.3)\t164 (37.6)\t.021\t2.275(1.129-4.583)\n\tIV\t5 (0.3)\t143 (32.8)\t<.001\t32.105(15.256-67.563)\nER\tPositive\t1393 (80.9)\t319 (73.2)\t.086\t1.688(.928-3.071)\n\tNegative\t328 (19.1)\t117 (26.8)\t\t\nPR\tPositive\t1167 (67.8)\t254 (58.3)\t.651\t1.071(.796-1.442)\n\tNegative\t554 (32.2)\t182 (41.7)\t\t\nHER2\tPositive\t383 (22.3)\t125 (28.7)\t\t.536(.358-.802)\n\t\t\t\t.002\t\n\t\t\t\t\t\nKi67\t<15\t670 (39)\t84 (19.3)\t.622\t1.076(.804-1.440)\n\t≥15\t1049 (61)\t352 (80.7)\t\t\nMitotic Index\t1\t342 (19.9)\t21 (4.8)\t1\t(Reference)\n\t2\t913 (53.1)\t160 (36.7)\t.009\t1.951(1.180-3.224)\n\t3\t466 (27.1)\t255 (58.5)\t<.001\t2.753(1.607-4.715)\nTm Grade\tGrade I\t261 (15.2)\t28 (6.4)\t1\t(Reference)\n\tGrade II\t845 (49.1)\t180 (41.3)\t.154\t1.416(.878-2.283)\n\tGrade III\t615 (35.7)\t228 (52.3)\t.384\t1.257(.751-2.102)\nSkin Infiltration\tPresent\t82 (4.8)\t86 (19.7)\t.237\t.753(.470-1.205)\n\tN/A\t1639 (95.2)\t350 (80.3)\t\t\nEIC\tN/A\t1459 (84.8)\t340 (78)\t.112\t1.243(.950-1.627)\n\tPresent\t262 (15.2)\t96 (22)\t\t\nSubgroup\tHER2 Enriched\t100 (5.8)\t50 (11.5)\t\t\n\tTriple Negative\t199 (11.6)\t54 (12.4)\t\t\n\tLuminal A\t547 (31.8)\t65 (14.9)\t\t\n\tLuminal B\t875 (50.8)\t267 (61.2)\t\t\nBreast Surgery Type\tBCS\t970 (56.6)\t127 (34.7)\t.356\t1.131(.871-1.468)\n\tMRM\t743 (43.4)\t239 (65.3)\t\t\nAxillary Surgery Type\tSLND\t481 (28.1)\t47 (12.8)\t.267\t.813(.563-1.172)\n\tAK\t1232 (71.9)\t319 (87.2)\t\t\nAnti-Hormonal Treatment\tPresent\t1419 (82.5)\t332 (76.1)\t.437\t.737(.342-1.590)\n\tN/A\t302 (17.5)\t104 (23.9)\t\t\nDuration of TAM Use\tN/A\t1059 (61.5)\t190 (43.6)\t1\t(Reference)\n\t\t570 (33.1)\t234 (53.7)\t.021\t1.499(1.062-2.117)\n\t≤ 5 years\t\t\t\t\n\t>5 years\t92 (5.3)\t12 (2.8)\t.642\t.847(.421-1.704)\nDuration of AI Use\tN/A\t669 (38.9)\t196 (45)\t1\t(Reference)\n\t≤ 5 years\t819 (47.6)\t206 (47.2)\t.249\t.824(.593-1.145)\n\t>5 years\t233 (13.5)\t34 (7.8)\t.047\t.607(.371-.993)\nRT\tPresent\t1579 (91.7)\t306 (70.2)\t.524\t.631(.153-2.607)\n\tN/A\t142 (8.3)\t130 (29.8)\t\t\nRT Type\tN/A\t134 (7.8)\t127 (29.1)\t1\t(Reference)\n\tBreast Only\t580 (33.7)\t47 (10.8)\t.222\t.397(.090-1.747)\n\tLocoregional\t1007 (58.5)\t262 (60.1)\t.174\t.367(.086-1.558)\nHerceptin Eligibility\tEligible\t331 (19.2)\t92 (21.1)\t.032\t1.638(1.043-2.572)\n\tIneligible\t1390 (80.8)\t344 (78.9)\t\t\nCT Received\tN/A\t318 (18.5)\t46 (10.6)\t1\t(Reference)\n\tNeadjuvant\t184 (10.7)\t82 (18.8)\t.586\t1.151(.694-1.911)\n\tAdjuvant\t1219 (70.8)\t308 (70.6)\t.119\t.708(.459-1.093)\nER: Estrogen Receptor, PR: Progesterone Receptor, HER2: Human Epidermal Growth Factor Receptor 2, EIC: Extensive TMX: Tamoxifen, AI: Aromatase Inhibitor, RT: Radiotherapy, CT: Chemotherapy, AC: Axillary Curettage SLND: Sentinel Lymph Node Dissection\n\nTable 6. Univariate analysis results affecting OS\n\t\tSurvival Status [n (%)]\tUnivariate Cox Regression\n\t\tAlive\tDeceased\tp\tHR (95% CI)\nAge\t<35\t87 (4.9)\t25 (6.5)\t1\t(Reference)\n\t36-50\t722 (40.8)\t117 (30.2)\t.013\t.577(.375-.889)\n\t>50\t961 (54.3)\t245 (63.3)\t.894\t1.028(.681-1.552)\nGender\tFemale\t1761 (99.5)\t381 (98.4)\t.014\t2.753(1.228-6.168)\n\tMale\t9 (0.5)\t6 (1.6)\t\t\nMenstruation State\tPremenopausal\t718 (40.8)\t118 (31)\t<.001\t1.664(1.338-2.068)\n\tPostmenopausal\t1043 (59.2)\t263 (69)\t\t\nFamily History\tPresent\t536 (30.3)\t91 (23.5)\t.005\t1.402(1.108-1.773)\n\tN/A\t1234 (69.7)\t296 (76.5)\t\t\nHistological Subtype  Group- 1\tNo-Special Type\t1486\t328\t.379\t.883(.669-1.165)\n\tSpecial Type\t284\t59\t\t\nHistological Subtype  Group- 2\tNo-Special Type\t1486\t328 (84.7)\t1\t(Reference)\n\tInvasive Lobular BC\t150\t43 (11.1)\t.502\t1.115(.811-1.532)\n\tNon-lobular Special Type BC\t134 (7.6)\t16 (4.1)\t.026\t.566(.343-.935)\nArrangement\tUnilateral\t1713 (96.8)\t370 (95.6)\t.690\t1.104(.679-1.795)\n\tBilateral\t57 (3.2)\t17 (4.4)\t\t\nBreast\tLeft\t855 (48.3)\t187 (48.3)\t1\t(Reference)\n\tRight\t858 (48.5)\t183 (47.3)\t.695\t.960(.783-1.177)\n\tBilateral\t57 (3.2)\t17 (4.4)\t.757\t1.082(.658-1.777)\nTumor Quadrant\tInner\t356 (20.1)\t79 (20.4)\t1\t(Reference)\n\tOuter\t1052 (59.4)\t226 (58.4)\t.962\t.994(.769-1.284)\n\tAreola\t234 (13.2)\t45 (11.6)\t.667\t.923(.640-1.331)\n\tMulticentric\t128 (7.2)\t37 (9.6)\t.074\t1.428(.966-2.110)\nT Stage\tT1\t654 (36.9)\t60 (15.5)\t1\t(Reference)\n\tT2\t920 (52)\t206 (53.2)\t<.001\t2.212(1.659-2.949)\n\tT3\t134 (7.6)\t42 (10.9)\t<.001\t2.636(1.777-3.912)\n\tT4\t62 (3.5)\t79 (20.4)\t<.001\t13.115(9.330-18.436)\nN Stage\tN0\t804 (45.4)\t96 (24.8)\t1\t(Reference)\n\tN1\t490 (27.7)\t74 (19.1)\t.338\t1.160(.856-1.571)\n\tN2\t319 (18)\t128 (33.1)\t<.001\t3.398(2.607-4.429)\n\tN3\t157 (8.9)\t89 (23)\t<.001\t4..318(3.234-5.764)\nStage\tI\t420 (23.7)\t25 (6.5)\t1\t(Reference)\n\tII\t812 (45.9)\t119 (30.7)\t<.001\t2.113(1.373-3.252)\n\tIII\t470 (26.6)\t163 (42.1)\t<.001\t4.783(3.139-7.286)\n\tIV\t68 (3.8)\t80 (20.7)\t<.001\t21.748(13.828-34.204)\nMetastatic Site\tN/A\t1621 (91.6)\t125 (32.3)\t1\t(Reference)\n\tBone\t69 (3.9)\t77 (19.9)\t<.001\t9.199(6.922-12.226)\n\tLung\t9 (0.5)\t14 (3.6)\t<.001\t10.972(6.311-19.075)\n\tLiver\t4 (0.2)\t10 (2.6)\t<.001\t17.278(9.058-32.959)\n\tBrain\t2 (0.1)\t22 (5.7)\t<.001\t26.432(16.733-41.753)\n\tMultiple\t65 (3.7)\t139 (35.9)\t<.001\t15.046(11.794-19.193)\nSurgery\tN/A\t30 (1.7)\t48 (12.4)\t<.001\t.091(.067-.125)\n\tPresent\t1740 (98.3)\t339 (87.6)\t\t\nBreast Surgery Type\tBCS\t998 (57.4)\t99 (29.2)\t<.001\t2.385(1.887-3.016)\n\tMRM\t742 (42.6)\t240 (70.8)\t\t\nAxillary Surgery\tN/A\t30 (1.7)\t48 (12.4)\t<.001\t.091(.067-.125)\n\tPresent\t1740 (98.3)\t339 (87.6)\t\t\nAxillary Surgery\nType\tSLND\t497 (28.6)\t31 (9.1)\t<.001\t2.298(1.586MNNMZ3.331)\n\tAC\t1243 (71.4)\t308 (90.9)\t\t\nSkin Infiltration\tPresent\t86 (4.9)\t82 (21.2)\t<.001\t.170(.132-.218)\n\tN/A\t1684 (95.1)\t305 (78.8)\t\t\nSurgical Margin\tNegative\t1441 (81.4)\t311 (80.4)\t.023\t1.340(1.042-1.723)\n\tPositive\t329 (18.6)\t76 (19.6)\t\t\nTm Grade\tGrade I\t286 (16.2)\t3 (0.8)\t1\t(Reference)\n\tGrade II\t866 (48.9)\t159 (41.1)\t<.001\t15.313(4.886-47.986)\n\tGrade III\t618 (34.9)\t225 (58.1)\t<.001\t30.243(9.680-94.487)\nMitotic Index\t1\t360 (20.3)\t3 (0.8)\t1\t(Reference)\n\t2\t918 (51.9)\t155 (40.1)\t<.001\t18.444(5.884-57.817)\n\t3\t492 (27.8)\t229 (59.2)\t<.001\t51.199(16.389-159.950)\nER\tPositive\t1438 (81.2)\t274 (70.8)\t<.001\t1.675(1.345-2.085)\n\tNegative\t332 (18.8)\t113 (29.2)\t\t\nPR\tPositive\t1194 (67.5)\t227 (58.7)\t<.001\t1.537(1.255-1.881)\n\tNegative\t576 (32.5)\t160 (41.3)\t\t\nHER2\tPositive\t406 (22.9)\t102 (26.4)\t.002\t.697(.555-.876)\n\tNegative\t1364 (77.1)\t285 (73.6)\t\t\nKi67\t<15\t681 (38.5)\t73 (18.9)\t<.001\t2.493(1.932-3.217)\n\t≥15\t1087 (61.5)\t314 (81.1)\t\t\nEIC\tN/A\t1502 (84.9)\t297 (76.7)\t<.001\t1.678(1.325-2.125)\n\tPresent\t268 (15.1)\t90 (23.3)\t\t\nLVI\tPresent\t827 (46.7)\t198 (51.2)\t.078\t.836(.685-1.020)\n\tN/A\t943 (53.3)\t189 (48.8)\t\t\nPNI\tPresent\t314 (17.7)\t86 (22.2)\t.313\t.884(.695-1.123)\n\tN/A\t1456 (82.3)\t301 (77.8)\t\t\nSubgroup Luminal\tLuminal A-B\t1468 (82.9)\t286 (73.9)\t1\t(Reference)\n\tTriple negative\t198 (11.2)\t55 (14.2)\t.034\t1.366(1.023-1.823)\n\tHER2 enriched\t104 (5.9)\t46 (11.9)\t<.001\t2.415(1.767-3.301)\nSubgroup\tHER2 enriched\t104 (5.9)\t46 (11.9)\t1\t(Reference)\n\tTriple negative\t198 (11.2)\t55 (14.2)\t.004\t.565(.381-.836)\n\tLuminal A\t559 (31.6)\t53 (13.7)\t<.001\t.209(.141-.310)\n\tLuminal B\t909 (51.4)\t233 (60.2)\t<.001\t.532(.387-.731)\nAnti-Hormonal Treatment\tPresent\t1466 (82.8)\t285 (73.6)\t<.001\t1.723(1.374-2.160)\n\tN/A\t304 (17.2)\t102 (26.4)\t\t\nDuration of TAM Use\tN/A\t1034 (58.4)\t215 (55.6)\t1\t(Reference)\n\t≤ 5 years\t640 (36.2)\t164 (42.4)\t.938\t1.008(.822-1.237)\n\t>5 years\t96 (5.4)\t8 (2.1)\t.001\t.294(.145-.595)\nDuration of AI Use\tN/A\t691 (39)\t174 (45)\t1\t(Reference)\n\t≤ 5 years\t832 (47)\t193 (49.9)\t.116\t.848(.691-1.041)\n\t>5 years\t247 (14)\t20 (5.2)\t<.001\t.237(.149-.377)\nHerceptin Eligibility\tEligible\t361 (20.4)\t62 (16)\t.665\t.941(.715-1.239)\n\tIneligible\t1409 (79.6)\t325 (84)\t\t\nRT\tPresent\t1591 (89.9)\t294 (76)\t<.001\t2.380(1.884-3.006)\n\tN/A\t179 (10.1)\t93 (24)\t\t\nRT Type\tN/A\t171 (9.7)\t90 (23.3)\t1\t(Reference)\n\tBreast Only\t574 (32.4)\t53 (13.7)\t<.001\t.236(.168-.331)\n\tLocoregional \t1025 (57.9)\t244 (63)\t<.001\t.506(.397-.645)\nCT\tN/A\t316 (17.9)\t48 (12.4)\t1\t(Reference)\n\tNeadjuvant\t206 (11.6)\t60 (15.5)\t.002\t1.839(1.258-2.689)\n\tAdjuvant\t1248 (70.5)\t279 (72.1)\t.864\t1.027(.756-1.396)\nCT Type\tN/A\t333 (18.8)\t55 (14.2)\t1\t(Reference)\n\tAC+TXT\t888 (50.2)\t128 (33.1)\t.503\t.898(.654-1.232)\n\tFAC-FEC-TAC\t312 (17.6)\t130 (33.6)\t.378\t1.154(.839-1.587)\n\tFAC-FEC+TXT\t185 (10.5)\t48 (12.4)\t.815\t     .955(.647-        1.408)\n\tRIBO+PABLO\t5 (0.3)\t1 (0.3)\t.268\t3.061(.423-22.183)\n\tPERJETA\t20 (1.1)\t2 (0.5)\t.905\t1.090(.265-4.476)\n\tCMF\t27 (1.5)\t23 (5.9)\t<.001\t2.627(1.613-4.279)\nER: Estrogen Receptor, PR: Progesterone Receptor, HER2: Human Epidermal Growth Factor Receptor 2, EIC: Extensive Intraductal Carcinoma, LVI: Lymphovascular Invasion, PNI: Perineural Invasion, TMX: Tamoxifen, AI: Aromatase Inhibitor, RT: Radiotherapy, CT: Chemotherapy, AC: Axillary Curettage, SLND: Sentinel Lymph Node Dissection, AC: Adriamycin, Cyclophosphamide, TXT: Taxotere, FAC: Cyclophosphamid, Adriamycin, 5-Fulourouracil, FEC: 5-Fulouracil, Epirubicine, Cyclophosphamide, TAC: Taxotere, Adriamycin, Cyclophosphamid, RIBO+PABLO:Ribociclib+Palbociclib, CMF: Cyclophosphamide, Methotrexate, Fluorouracil\nTable 7. Multivariate analysis results affecting OS\n\tSurvival Status\tMultivariate Cox Regression\n\tAlive\tDeceased\tp\tHR (95% CI)\nAge\t<35\t87 (4.9)\t25 (6.5)\t1\t(Reference)\n\t36-50\t722 (40.8)\t117 (30.2)\t.555\t1.185(.675-2.079)\n\t>50\t961 (54.3)\t245 (63.3)\t.168\t1.578(.825-3.019)\nMenstruation Status\tPremenopausal\t718 (40.8)\t118 (31)\t.981\t1.005(.675-1.495)\n\tPostmenopausal\t1043 (59.2)\t263 (69)\t\t\n\t\t\t\t\t\nFamily History\tPresent\t536 (30.3)\t91 (23.5)\t.191\t1.205(.911-1.593)\n\tN/A\t1234 (69.7)\t296 (76.5)\t\t\nHistologicalSubtype  Group - 2\tNo-Special Type\t1486\t328 (84.7)\t1\t(Reference)\n\tInvasive Lobular BC\t150\t43 (11.2)\t.045\t1.457(1.009-2.104)\n\tNon-Lobular Special Type BC\t134 (7.6)\t16 (4.1)\t.579\t.861(.507-1.462)\nT Stage\tT1\t654 (36.9)\t60 (15.5)\t1\t(Reference)\n\tT2\t920 (52)\t206 (53.2)\t.191\t1.301(.877-1.929)\n\tT3\t134 (7.6)\t42 (10.9)\t.021\t1.791(1.094-2.932)\n\tT4\t62 (3.5)\t79 (20.4)\t.005\t2.486(1.315-4.700)\nN Stage\tN0\t804 (45.4)\t96 (24.8)\t1\t(Reference)\n\tN1\t490 (27.7)\t74 (19.1)\t.790\t1.056(.707-1.578)\n\tN2\t319 (18)\t128 (33.1)\t.002\t2.358(1.384-4.018)\n\tN3\t157 (8.9)\t89 (23)\t.007\t2.184(1.243-3.836)\nStage\tI\t420 (23.7)\t25 (6.5)\t1\t(Reference)\n\tII\t812 (45.9)\t119 (30.7)\t.058\t1.802(.980-3.314)\n\tIII\t470 (26.6)\t163 (42.1)\t.825\t1.090(.507-2.343)\n\tIV\t68 (3.8)\t80 (20.7)\t.112\t1.987(.853-4.631)\nSkin Infiltration\tPresent\t86 (4.9)\t82 (21.2)\t.034\t.598(.372-.961)\n\tN/A\t1684 (95.1)\t305 (78.8)\t\t\nSurgical Margin\tNegative\t1441 (81.4)\t311 (80.4)\t<.001\t1.666(1.275-2.176)\n\tPositive\t329 (18.6)\t76 (19.6)\t\t\nDuration of TAM Use\tN/A\t1034 (58.4)\t215 (55.6)\t1\t(Reference)\n\t≤ 5 years\t640 (36.2)\t164 (42.4)\t<.001\t.430(.295-.625)\n\t>5 years\t96 (5.4)\t8 (2.1)\t<.001\t.177(.074-.423)\nDuration of AI Use\tN/A\t691 (39)\t174 (45)\t1\t(Reference)\n\t≤ 5 years\t832 (47)\t193 (49.9)\t.015\t.609(.407-.909)\n\t>5 years\t247 (14)\t20 (5.2)\t<.001\t.143(.077-.266)\nER\tPositive\t1438 (81.2)\t274 (70.8)\t.395\t1.307(.706-2.419)\n\tNegative\t332 (18.8)\t113 (29.2)\t\t\nPR\tPositive\t1194 (67.5)\t227 (58.7)\t.584\t.910(.650-1.275)\n\tNegative\t576 (32.5)\t160 (41.3)\t\t\nHER2\tPositive\t406 (22.9)\t102 (26.4)\t.197\t.790(.552-1.130)\n\tNegative\t1364 (77.1)\t285 (73.6)\t\t\nKi67\t<15\t681 (38.5)\t73 (18.9)\t.502\t.836(.496-1.410)\n\t≥15\t1087 (61.5)\t314 (81.1)\t\t\nMitotic Index\t1\t360 (20.3)\t3 (0.8)\t1\t(Reference)\n\t2\t918 (51.9)\t155 (40.1)\t.025\t2.616(1.131-6.053)\n\t3\t492 (27.8)\t229 (59.2)\t.005\t3.530(1.475-8.449)\nTm Grade\tGrade I\t286 (16.2)\t3 (0.8)\t1\t(Reference)\n\tGrade II\t866 (48.9)\t159 (41.1)\t.091\t2.080(.889-4.868)\n\tGrade III\t618 (34.9)\t225 (58.1)\t.025\t2.748(1.139-6.631)\nChemotherapy\tN/A\t316 (17.9)\t48 (12.4)\t1\t(Reference)\n\tNeoadjuvant\t206 (11.6)\t60 (15.5)\t<.001\t.141(.053-.373)\n\tAdjuvant\t1248 (70.5)\t279 (72.1)\t<.001\t.161(.066-.392)\nEIC\tN/A\t1502 (84.9)\t297 (76.7)\t.281\t1.180(.873-1.595)\n\tPresent\t268 (15.1)\t90 (23.3)\t\t\nBreast Surgery Type\tBCS\t998 (57.4)\t99 (29.2)\t.008\t1.546(1.122-2.130)\n\tMRM\t742 (42.6)\t240 (70.8)\t\t\nAxillary Surgery\tSLND\t497 (28.6)\t31 (9.1)\t.099\t1.443(.933-2.234)\nType\tAK\t1243 (71.4)\t308 (90.9)\t\t\nRT\tPresent\t1591 (89.9)\t294 (76)\t.122\t2.447(.788-7.600)\n\tN/A\t179 (10.1)\t93 (24)\t\t\nRT Type\tN/A\t171 (9.7)\t90 (23.3)\t1\t(Reference)\n\tBreast Only\t574 (32.4)\t53 (13.7)\t.026\t3.729(1.167-11.913)\n\tLocoregional\t1025 (57.9)\t244 (63)\t.431\t1.609(.492-5.262)\nSite of Metastasis\tN/A\t1621 (91.6)\t125 (32.3)\t1\t(Reference)\n\tBone\t69 (3.9)\t77 (19.9)\t<.001\t9.010(6.481-12.524)\n\tLung\t9 (0.5)\t14 (3.6)\t<.001\t10.887(6.034-19.644)\n\tLiver\t4 (0.2)\t10 (2.6)\t<.001\t14.829(6.774-32.464)\n\tBrain\t2 (0.1)\t22 (5.7)\t<.001\t26.076(15.484-43.914)\n\tMultiple\t65 (3.7)\t139 (35.9)\t<.001\t11.479(5.457-17.249)\nER: Estrogen Receptor, PR: Progesterone Receptor, HER2: Human Epidermal Growth Factor Receptor 2, EIC: Extensive Intraductal Carcinoma, LVI: Lymphovascular Invasion, PNI: Perineural Invasion, TMX: Tamoxifen, AI: Aromatase Inhibitor, RT: Radiotherapy, CT: Chemotherapy, AC: Axillary Curettage, SLND: Sentinel Lymph Node Dissection\n\n\nFigure Legends\nFigure 1a. Survival curve DFS of Non-Special Type BC and Special Type BC subgroups using Kaplan-Meier method\nFigure 1b. Survival curve of OS times of Non-Special Type BC and Special Type BC subgroups using Kaplan-Meier method\nFigure 2a. Survival curve of DFS times of Non-Special Type BC and Non-Lobular Special Type BC and ILC subgroups using Kaplan-Meier method. There are 2066 patients at the beginning of the DFS curve, as 91 of a total of 2157 breast cancer patients had metastatic presentation at baseline.\nFigure 2b. Survival curve of OS times of Non-Special Type BC and Non-Lobular Special Type BC and ILC subgroups using Kaplan-Meier method\nFigure 3.  Subgroup distribution according to histopathological subgroup differentiation, 3a. Non-Special Type BC, 3b. Invasive Lobular Special Type BC, 3c. 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