Literature DB >> 26910473

Locoregional Recurrence by Tumor Biology in Breast Cancer Patients after Preoperative Chemotherapy and Breast Conservation Treatment.

Eunjin Jwa1,2, Kyung Hwan Shin1,3, Ja Young Kim1, Young Hee Park1,4, So-Youn Jung1, Eun Sook Lee1, In Hae Park1, Keun Seok Lee1, Jungsil Ro1, Yeon-Joo Kim1, Tae Hyun Kim1.   

Abstract

PURPOSE: The purpose of this study is to determine whether breast cancer subtype can affect locoregional recurrence (LRR) and ipsilateral breast tumor recurrence (IBTR) after neoadjuvant chemotherapy (NAC) and breast-conserving therapy (BCT).
MATERIALS AND METHODS: We evaluated 335 consecutive patients with clinical stage II-III breast cancer who received NAC plus BCT from 2002 to 2009. Patients were classified according to six molecular subtypes: luminal A (hormone receptor [HR]+/HER2-/Ki-67 < 15%, n=113), luminal B1 (HR+/HER2-/Ki-67 ≥ 15%, n=33), luminal B2 (HR+/HER2+, n=83), HER2 with trastuzumab (HER2[T+]) (HR-/HER2+/use of trastuzumab, n=14), HER2 without trastuzumab (HER2[T-]) (HR-/HER2+, n=31), and triple negative (TN) (HR-/HER2-, n=61).
RESULTS: After a median follow-up period of 7.2 years, 26 IBTRs and 37 LRRs occurred. The 5-year LRR-free survival rates were luminal A, 96.4%; B1, 93.9%; B2, 90.3%; HER2(T+), 92.9%; HER2(T-), 78.3%; and TN, 79.6%. The 5-year IBTR-free survival rates were luminal A, 97.2%; B1, 93.9%; B2, 92.8%; HER2(T+), 92.9%; HER2(T-), 89.1%; and TN, 84.6%. In multivariate analysis, HER2(T-) (IBTR: hazard ratio, 4.2; p=0.04 and LRR: hazard ratio, 7.6; p < 0.01) and TN subtypes (IBTR: hazard ratio, 6.9; p=0.01 and LRR: hazard ratio, 8.1; p < 0.01) were associated with higher IBTR and LRR rates. A pathologic complete response (pCR) was found to show correlation with better LRR and a tendency toward improved IBTR controls in TN patients (IBTR, p=0.07; LRR, p=0.03).
CONCLUSION: The TN and HER2(T-) subtypes predict higher rates of IBTR and LRR after NAC and BCT. A pCR is predictive of improved IBTR or LRR in TN subtype.

Entities:  

Keywords:  Breast neoplasms; Ipsilateral breast tumor recurrence; Local neoplasm recurrence; Molecular subtype; Neoadjuvant chemotherapy

Mesh:

Substances:

Year:  2016        PMID: 26910473      PMCID: PMC5080807          DOI: 10.4143/crt.2015.456

Source DB:  PubMed          Journal:  Cancer Res Treat        ISSN: 1598-2998            Impact factor:   4.679


Introduction

Neoadjuvant chemotherapy (NAC) has generally been used in treatment of locally advanced and inflammatory breast cancer, but its use is increasing for earlier stages of the disease [1-3]. The number of patients who are candidates for breast conserving treatment (BCT) increases with the use of NAC, which downsizes tumors, facilitating BCT in patients who would otherwise require mastectomy [2,4]. Several clinical trials have reported equivalent impacts of neoadjuvant versus adjuvant chemotherapy on survival [2,3]. The locoregional recurrence (LRR) rate was also acceptably low in patients treated with NAC followed by breast conserving surgery (BCS) and radiotherapy (RT) [2,4,5]. DNA microarray analysis of gene expression profiles has divided breast cancer into distinct molecular subtypes with different clinical outcomes and responses to treatment, including estrogen receptor (ER)–positive/luminal, basal-like, and HER2-positive subtypes [6,7]. However, DNA microarray analysis has challenges for wide use in routine clinical care, determination of molecular subtypes based on clinically available immunohistochemical (IHC) markers such as hormone receptor (HR) and HER2 status has been considered and validated as a more practical approach to identification of the corresponding subgroups based on gene expression profiling [8,9]. It has been demonstrated that different molecular subtypes can predict LRR in addition to survival and distant metastasis (DM) in the adjuvant setting [10-12]. However, the impact of molecular subtypes on ipsilateral breast tumor recurrence (IBTR) and LRR in patients who undergo NAC warrants further investigation. Therefore, the current study was conducted to evaluate whether molecular subtypes can identify patients at high risk for IBTR and LRR following NAC and BCT.

Materials and Methods

This was a single-institution retrospective review of an Institutional Review Board–approved prospective breast cancer database. A total of 335 consecutive patients with non-metastatic breast cancer who underwent NAC followed by BCS and RT from 2002 to 2009 were identified. Before initiation of NAC, all patients had been clinically staged according to the sixth edition of the American Joint Committee on Cancer (AJCC) guidelines. Clinical stages were evaluated by physical examination, ultrasonography, fluorodeoxyglucose-positron emission tomography (PET)/computed tomography (CT), and chest CT. Clinicopathological data were recorded, including age, menopause status, cT stage, cN stage, pathological tumor size, number of lymph nodes (LNs) identified pathologically, histological type, histological grade, ER, progesterone receptor (PR), HER2, and Ki-67 status. NAC consisted of anthracycline-based (doxorubicin 60 mg/m2 and cyclophosphamide 600 mg/m2 every 3 weeks for four cycles, n=150), taxane-based (docetaxel 75 mg/m2 and capecitabine 1,000 mg/m2 orally twice daily on days 1-14 every 3 weeks for four cycles, n=85; paclitaxel 80 mg/m2 followed by gemcitabine 1,200 mg/m2 on days 1 and 8 every 3 weeks for four cycles, n=27), or combined anthracycline-taxane–based therapy (doxorubicin 60 mg/m2 and cyclophosphamide 600 mg/m2 every 3 weeks for four cycles followed by docetaxel 100 mg/m2 every 3 weeks for four cycles, n=73). A total of 245 patients (73.1%) were treated in one of the two prospective institutional clinical trials. Full details of the regimens used have been previously reported [13,14]. NAC regimen for the remainder was chosen at physician’s discretion. In the BCS procedure, residual primary tumors were excised, and clear margins to healthy tissues were determined from frozen biopsy specimens. However, five patients with persistent positive resection margins in the final pathology reports declined further surgical resection. No further revision surgery was attempted in 30 patients with close resection margins (< 2 mm). Standard level I and II axillary LN dissections were performed in all except 14 patients who underwent sentinel LN biopsy without axillary dissection. No residual tumor or only carcinoma in situ in both primary breast tumor and LNs was considered pathologic complete response (pCR). Following BCS, RT was performed with tangential fields at a median dose to the breast of 50.4 Gy in 28 fractions over 5.5 weeks in all patients. All patients received an electron boost to the tumor bed with a median dose of 10 Gy in five fractions. Supraclavicular nodal RT was delivered in 318 patients (median dose, 45 Gy in 25 fractions). Internal mammary nodal RT was administered at a median dose of 55 Gy to only seven patients with pre-NAC initial PET-positive internal mammary LNs. Adjuvant hormone suppression therapy was offered to all patients with ER-positive or PR-positive tumors. Some patients showed changes in ER and PR expression before and after NAC, but hormonal suppression therapy was administered to all patients whose tumors were ER- or PR-positive in one or more tests. Following RT, trastuzumab was administered for 1 year to 36 patients with HER2-positive tumors. An IHC assay was used to evaluate the expression of the ER, PR, HER2, and Ki-67 markers in pretreatment core biopsies. ER and PR positivity were defined using the Allred score when strong nuclear staining was observed in at least 3/8 tumor cells examined [15]. ER and PR status were categorized as HR-positive when ER or PR staining was positive, and as HR-negative when ER and PR staining were negative. Immunostaining for HER2 was considered positive in the case of strong (3+) membranous staining in at least 10% of tumor cells, or in the case of 2+ with unequivocal amplification by fluorescence in situ hybridization [16]. For evaluation of Ki-67, areas with the highest Ki-67 staining were examined [17]; 15% was used as the cut-off value for Ki-67 to dichotomize the patients [18,19]. According to the IHC features on core biopsies before NAC, patients were classified according to IHC-based molecular subgroups as follows: luminal A (HR+/HER2–/Ki-67 < 15%), luminal B1 (HR+/HER2–/Ki-67 ≥ 15%), luminal B2 (HR+/HER2+), HER2 (HR–/HER2+), and triple negative (TN) (HR–/HER2–). In this study, the HER2 group, which is known as an unfavorable feature, was divided into two subtypes based on the use of trastuzumab. The final six groups were as follows: luminal A, luminal B1, luminal B2, HER2 with trastuzumab (HER2[T+]), HER2 without trastuzumab (HER2[T–]), and TN. The primary endpoints were IBTR and LRR. IBTR was defined as recurrent disease in the ipsilateral breast. LRR was defined as recurrent disease in the ipsilateral breast, chest wall or axillary, supraclavicular, infraclavicular, or internal mammary LNs. All IBTRs and LRRs were considered events, regardless of whether they were the first site of failure versus occurred with or after DM. Patients who did not experience IBTR or LRR were censored at the last follow-up or at the time of death. Distributions of the clinical factors among groups were compared using the Kruskal-Wallis test for continuous variables and the chi-square test for categorical variables. Actuarial rates of IBTR and LRR were calculated using the Kaplan-Meier method, and differences between groups were compared using the two-sided log-rank test. Logistic regression was used to evaluate the association between covariates of interest and the probability of IBTR or LRR. Multivariate analyses were performed using the Cox proportional hazards model. All calculations were performed using SPSS ver. 18.0 (SPSS Inc., Chicago, IL). Two-tailed p-values < 0.05 were considered statistically significant.

Results

Clinicopathological characteristics by subtype are summarized in Table 1. The median age was 48 years (range, 28 to 76 years). Significant differences in the distribution of histological type, histological grade, resection margin status, and response to NAC were observed among subtypes. In evaluation of the response to NAC, we noted a difference (p < 0.01) in pCR rates with a lower percentage of patients in the luminal A (10.6%) and B1 (6.1%) subgroups compared with patients in the HER2(T–) (35.5%), and TN (23.0%) subgroups.
Table 1.

Distribution of clinical and pathological characteristics by molecular subtype

VariableLuminal A (n=113)Luminal B1 (n=33)Luminal B2 (n=83)HER2 (T+) (n=14)HER2 (T–) (n=31)Triple negative (n=61)p-value
Age (yr)
 ≤ 4031 (27.4)9 (27.3)17 (20.5)2 (14.3)4 (12.9)15 (24.6)0.51
 > 4082 (72.6)24 (72.7)66 (79.5)12 (85.7)27 (87.1)46 (75.4)
Post-menopause37 (32.7)9 (27.3)31 (37.3)6 (42.9)15 (48.4)19 (31.1)0.47
cT stage
 cT1-2105 (92.9)29 (87.9)73 (88.0)11 (78.6)27 (87.1)50 (82.0)0.16
 cT3-48 (7.1)4 (12.1)10 (12.0)3 (21.4)4 (13.0)11 (18.0)
cN stage
 cN02 (1.8)01 (1.2)0000.28
 cN166 (58.4)14 (42.4)41 (49.4)4 (28.6)20 (64.5)27 (44.3)
 cN2-345 (39.8)19 (57.6)41 (49.4)10 (71.4)11 (35.5)34 (55.8)
cStage
 II64 (56.6)13 (39.4)38 (45.8)4 (28.6)18 (58.1)23 (37.7)0.06
 III49 (43.4)20 (60.6)45 (54.2)10 (71.4)13 (41.9)38 (62.3)
ypT
 ypT017 (15.0)3 (9.1)22 (26.5)5 (35.7)12 (38.7)19 (31.1)0.01
 ypT161 (54.0)12 (36.4)39 (47.0)6 (42.9)13 (41.9)27 (44.3)
 ypT2-335 (31.0)18 (54.5)22 (26.5)3 (21.4)6 (19.4)15 (24.6)
ypN
 ypN027 (23.9)14 (42.4)33 (39.8)4 (28.6)17 (54.8)33 (54.1)< 0.01
 ypN156 (49.6)7 (21.2)26 (31.3)6 (42.8)10 (32.3)17 (27.9)
 ypN2-330 (26.5)12 (36.4)24 (28.9)4 (28.6)4 (12.9)11 (18.0)
pCR12 (10.6)2 (6.1)16 (19.3)3 (21.4)11 (35.5)14 (23.0)< 0.01
Histology
 IDC105 (92.9)27 (81.8)80 (96.4)13 (92.9)31 (100)61 (100)< 0.01
 Others8 (7.1)6 (18.2)3 (3.6)1 (7.1)00
Histological grade
 Well, moderate84 (74.3)11 (33.3)49 (59.0)6 (42.9)16 (51.6)30 (49.2)< 0.01
 Poor29 (25.7)22 (66.7)34 (41.0)8 (57.1)15 (48.4)31 (50.8)
Resection margin
 Negative100 (88.5)27 (81.8)70 (84.3)14 (100)29 (93.5)60 (98.4)< 0.01
 Close, positive13 (11.5)6 (18.2)13 (15.7)02 (6.5)1 (1.6)

Values are presented as number (%). HER2 (T+), HER2 with trastuzumab; HER2 (T–), HER2 without trastuzumab; pCR, pathologic complete response; IDC, invasive ductal carcinoma.

The median follow-up period was 7.2 years (range, 0.7 to 11.6 years). Twenty-six IBTRs, 15 regional recurrences, 67 DMs, and 56 deaths occurred during follow-up (Table 2). The 5-year LRR-free survival rates in the subtypes were as follows: luminal A, 96.4%; B1, 93.9%; B2, 90.3%; HER2(T+), 92.9%; HER2(T–), 78.3%; and TN, 79.6% (Fig. 1A). Compared with the luminal A subtype, significantly higher LRR rates were observed for the luminal B2, HER2(T–), and TN subtypes (p=0.02, p < 0.01, and p < 0.01, respectively). The 5-year IBTR-free survival rates in the subtypes were as follows: luminal A, 97.2%; B1, 93.9%; B2, 92.8%; HER2(T+), 92.9%; HER2(T–), 89.1%; and TN, 84.6% (Fig. 1B). The HER2(T–) and TN subtypes had significantly higher rates of IBTR compared with the luminal A subtype (p=0.04 and p < 0.01, respectively). Despite the same unfavorable molecular markers with HER2(T–), HER2(T+) subtype showed no difference in IBTR and LRR rates compared with the luminal A subtype. The 5-year DM-free and disease-free survival (DFS) rates were as follows: luminal A, 90.2%; B1, 75.6%; B2, 83.0%; HER2(T+), 85.7%; HER2(T–), 76.6%; and TN, 75.4% (Fig. 1C) and luminal A, 88.4%; B1, 75.6%; B2, 81.9%; HER2(T+), 85.7%; HER2(T–), 70.0%; and TN, 72.1% (Fig. 1D), respectively.
Table 2.

Patterns of failure

VariableLuminal A (n=113)Luminal B1 (n=33)Luminal B2 (n=83)HER2 (T+) (n=14)HER2 (T–) (n=31)Triple negative (n=61)Total (n=335)
Any recurrence16 (14.2)9 (27.3)21 (25.3)2 (14.3)9 (29.0)20 (32.8)77 (23.0)
LRR4 (3.5)3 (9.1)10 (12.0)1 (7.1)6 (19.4)13 (21.3)37 (11.0)
 IBTR3 (2.7)3 (9.1)7 (8.4)1 (7.1)3 (9.7)9 (14.8)26 (7.8)
 Regional recurrence1 (0.9)2 (6.1)3 (3.6)03 (9.7)6 (9.8)15 (4.5)
  Axillary lymph node0220004
  SCLN0000235
  IMLN1110249
Distant metastasis14 (12.4)8 (24.2)18 (21.7)2 (14.3)7 (22.6)18 (29.5)67 (20.0)

Values are presented as number (%). HER2 (T+), HER2 with trastuzumab; HER2 (T–), HER2 without trastuzumab; LRR, locoregional recurrence; IBTR, ipsilateral breast tumor recurrence; SCLN, supraclavicular lymph node; IMLN, internal mammary lymph node.

Fig. 1.

Kaplan-Meier plots of locoregional recurrence-free survival (A), ipsilateral breast tumor recurrence-free survival (B), distant metastasis-free survival (C), and disease-free survival (D) according to molecular subtype.

The clinicopathological variables associated with IBTR and LRR were analyzed by univariate and multivariate analyses (Table 3). In univariate analysis, the factors affecting IBTR development included the TN subtype (p < 0.01), poorly differentiated tumors (p=0.03), and clinical T3-4 stage (p < 0.01). Luminal B2 subtype (p=0.03), HER2(T–) subtype (p < 0.01), TN subtype (p < 0.01), poorly differentiated tumor (p=0.01), and clinical T3-4 stage (p < 0.01) were also associated with lower LRR-free survival rates. In the multivariate model, the HER2(T–) subtype, TN subtype, and clinical T3-4 stage affected the development of both IBTR and LRR. Compared with the luminal A subtype, the HER2(T–) and TN subtypes were potent factors affecting IBTR/LRR, with hazard ratios of 4.2 (p=0.04)/7.6 (p < 0.01) and 6.9 (p=0.01)/8.1 (p < 0.01), respectively (Table 3). Notably, a pCR after NAC was not associated with the development of IBTR (p=0.39) or LRR (p=0.65). Patients of the HER2(T+) subtype had significantly lower hazard ratios for IBTR and LRR compared with HER2(T–) patients.
Table 3.

Uni- and multivariate analysis

VariableIpsilateral breast tumor recurrence
Locoregional recurrence
Univariate
Multivariate
Univariate
Multivariate
OR (95% CI)p-valueOR (95% CI)p-valueOR (95% CI)p-valueOR (95% CI)p-value
≤ 40 yr1.01.01.01.0
> 40 yr0.8 (0.3-1.9)0.590.9 (0.4-2.3)0.800.8 (0.4-1.6)0.490.7 (0.3-1.6)0.41
Luminal A1.01.01.01.0
Luminal B13.6 (0.7-17.6)0.123.1 (0.6-16.5)0.202.7 (0.6-12.2)0.191.9 (0.4-9.3)0.43
Luminal B23.2 (0.8-12.5)0.093.3 (0.8-13.8)0.103.5 (1.1-11.3)0.033.4 (1.0-11.1)0.04
HER2 (T+)2.7 (0.3-26.3)0.381.8 (0.2-18.9)0.622.1 (0.2-19.2)0.501.5 (0.2-14.0)0.74
HER2 (T–)4.2 (0.8-20.8)0.084.2 (0.8-22.6)0.046.5 (1.8-23.2)< 0.017.6 (2.0-28.9)< 0.01
Triple negative6.5 (1.7-23.8)< 0.016.9 (1.7-28.1)< 0.017.0 (2.3-21.6)< 0.018.1 (2.5-26.6)< 0.01
Well-moderate1.01.01.01.0
Poor2.4 (1.1-5.4)0.031.9 (0.7-5.2)0.192.3 (1.2-4.4)0.011.5 (0.7-3.3)0.34
Non-pCR1.01.01.01.0
pCR1.0 (0.3-2.9)0.991.8 (0.5-7.3)0.390.9 (0.3-2.2)0.781.3 (0.4-4.1)0.65
RM (–)1.01.01.01.0
Close or RM (+)1.3 (0.4-4.4)0.651.4 (0.4-5.4)0.591.7 (0.6-4.3)0.302.0 (0.7-5.5)0.21
cT1-21.01.01.01.0
cT3-48.8 (4.1-19.1)< 0.018.4 (3.8-18.9)< 0.015.4 (2.8-10.6)< 0.015.0 (2.5-10.1)< 0.01
cN0-11.01.01.01.0
cN2-31.2 (0.5-2.5)0.710.6 (0.3-1.5)0.291.8 (0.9-3.4)0.091.2 (0.6-2.4)0.69
ypT0-11.01.01.01.0
ypT2-31.6 (0.7-3.5)0.261.4 (0.5-3.4)0.521.7 (0.9-3.3)0.111.5 (0.7-3.2)0.32
ypN0-11.01.01.01.0
ypN2-31.4 (0.6-3.1)0.472.0 (0.8-5.3)0.161.7 (0.9-3.4)0.112.1 (0.9-4.6)0.06

OR, odds ratio; CI, confidence interval; HR, hazard ratio; HER2 (T+) , HER2 with trastuzumab; HER2 (T–), HER2 without trastuzumab; pCR, pathologic complete response; RM (–), negative resection margin; RM (+), positive resection margin.

In the analysis of IBTR and LRR according to pCR versus non-pCR after NAC, patients of the TN subtype who failed to achieve pCR showed a significantly higher LRR (p=0.03) (Fig. 2A) rate and a trend toward higher IBTR (p=0.07) (Fig. 2B) rate compared with those who achieved a pCR. However, among patients of the non-TN subtypes, including HER2(T–), no significant effect of a pCR on either LRR (p=0.52) (Fig. 2A) or IBTR (p=0.41) (Fig. 2B) was observed.
Fig. 2.

Kaplan-Meier plots of locoregional recurrence-free survival (A) and ipsilateral breast tumor recurrence-free survival (B) by pathological complete response (pCR) versus a non-pCR in non-triple negative and triple negative subgroup patients.

Discussion

Breast cancer is now regarded as a biologically heterogeneous disease comprising different molecular subtypes, each with a different prognosis and response to treatment [10-12]. These subtypes, including luminal, HER2, and basal-like, can be defined by gene expression profiling [6,20,21] or approximations to this classification using IHC [8,9]. Clinicians should consider these features for proper assessment of the relevant evidence and decide on an appropriate therapeutic course of action. In a series of women with clinical stage II-III breast cancer who underwent NAC and BCT, we found that molecular subtypes showed correlation with different rates of IBTR and LRR. The TN and HER2(T–) subtypes had worse outcomes with significantly higher IBTR and LRR rates than those of other subtypes despite excellent tumor responses to NAC. Several authors have examined the impact of molecular subtype on LRR in different patient populations. Nguyen et al. [10] evaluated 793 patients treated with BCT as a first-line intervention. After a median follow-up period of 70 months, the 5-year LRR rate was 0.8% for luminal A, 8.4% for HER2, and 7.1% for basal subtypes. Arvold et al. [22] also evaluated differences in LRR according to subtype in patients undergoing BCT as initial treatment. These patients were classified based on receptor status as well as nuclear grade, with subgroups defined as luminal A (HR+/HER2–/grade 1-2), luminal B (HR+/HER2–/grade 3), luminal HER2 (HR+/HER2+), HER2 (HR–/HER2+), and TN (HR–/HER2–). The 5-year LRR rates were 0.8% for luminal A, 10.8% for HER2, and 6.7% for TN subtypes. In contrast to our study, both of these studies were limited to patients undergoing initial surgery [10,22]. Vargo et al. [23] analyzed 331 patients receiving NAC plus BCT or mastectomy. After a median follow-up period of 43 months, 5-year LRR rates were 3.8%, 1.3%, and 4.2% for luminal A, HER2, and basal subtypes, respectively. The molecular subtype and pCR predicted DM, DFS, and overall survival (OS). Meyers et al. [24] used constructed molecular subtypes for prediction of LRR in 149 patients. Only patients who received NAC were included; however, patients underwent BCT or mastectomy. After a median follow-up period of 55 months, a higher rate of LRR in patients with basal (14%) versus luminal (4%) or HER2 (5%) tumors was reported. By evaluating only the 49 patients who underwent BCT, no LRR events were observed in the luminal or HER2 groups, while 8% of the basal group developed LRR. Most recently, Caudle et al. [25] analyzed the clinicopathological data from 595 patients who received NAC and BCT. After a median follow-up period of 64 months, the 5-year LRR-free survival rates were found to vary by subtype: HR+/HER2–, 97.0%; HR+/HER2+, 95.9%; HR–/HER2+, 86.5%; and HR–/HER2–, 89.5% (p=0.001). The pCR was associated with lower LRR rate. There appears to be several critical differences between our analysis and previously published data. First, our data encompassed a homogeneous group of patients with clinical stage II-III breast cancer who underwent NAC followed by BCT at a single institution, compared with the results from patients treated with NAC followed by BCT or mastectomy. To the best of our knowledge, the current study is unique in its analysis of the impact of molecular subtypes on IBTR and LRR in patients who underwent NAC followed by only BCT, which could be associated with the concerns regarding a higher LRR rate compared with mastectomy. Most previous studies have focused on DFS, OS, or LRR alone [23,26-28]. Second, we analyzed patients who were treated recently, between 2002 and 2010. Other series included patients treated since 1991 or 1998 [10,24]. Inclusion of patients from previous treatment eras may yield higher rates of LRR compared with those treated more recently due to several factors. The evolution of systemic therapy has resulted in better local control and better outcomes on systemic recurrence. The use of modern radiation techniques and the evolution of breast imaging may have an impact on the rates of IBTR and LRR. Third, we included 36 patients treated with trastuzumab, of whom 14 HER2(T+) patients had a better local outcome compared with HER2(T–) patients. Five-year IBTR- and LRR-free survival rates were 92.9% versus 89.1% and 92.9% versus 78.3% in HER2(T+) versus HER2(T–), respectively. This result suggests that the use of trastuzumab could alter the impact of the molecular subtype on local outcome in HER2 subtype patients. This might be useful information in the consideration of trastuzumab in HER2 subtype patients. Last, we found that a pCR to NAC had no impact on locoregional outcomes in any patients of non-TN groups. In TN patients, however, a pCR was associated with excellent IBTR and LRR control. The association between the extent of response to NAC and prognosis has been examined [3,5,23,25-27]. The best relative DFS [3,26,28], as well as DM-free survival, and OS [23,27] was observed in those who achieved a pCR. Min et al. [5] reported that a pCR to NAC did not affect LRR or IBTR regardless of subtype, while Caudle et al. [25] reported that patients achieving a pCR had similar LRR rates among subtypes. However, our study had several limitations. First, the analysis was performed retrospectively. A second limitation was the modest number of patients evaluated; categorization according to the six subtypes resulted in a small number of patients in some subtypes, including HER2(T+), luminal B1, and HER2(T–) patients. Therefore, these findings should be confirmed in a larger prospective study in the future.

Conclusion

In conclusion, we demonstrated that the TN and HER2 subtypes predicted higher rates of IBTR and LRR after NAC followed by BCT. Among the non-TN subtype patients, pCR was not predictive of better IBTR or LRR. However, among the TN subtype patients, a pCR to NAC was a predictor of better LRR control. The use of trastuzumab influenced IBTR and LRR in patients of the HER2 subtype. Taken together, a novel locoregional treatment strategy to decrease IBTR and LRR such as mastectomy instead of BCT in TN subtype patients with non-pCR to NAC deserves further investigation. Improvements in systemic therapy, investigation of radiosensitizing agents, radiation dose escalation, and other new techniques may prove to be important.
  28 in total

1.  Pathologic complete response predicts recurrence-free survival more effectively by cancer subset: results from the I-SPY 1 TRIAL--CALGB 150007/150012, ACRIN 6657.

Authors:  Laura J Esserman; Donald A Berry; Angela DeMichele; Lisa Carey; Sarah E Davis; Meredith Buxton; Cliff Hudis; Joe W Gray; Charles Perou; Christina Yau; Chad Livasy; Helen Krontiras; Leslie Montgomery; Debasish Tripathy; Constance Lehman; Minetta C Liu; Olufunmilayo I Olopade; Hope S Rugo; John T Carpenter; Lynn Dressler; David Chhieng; Baljit Singh; Carolyn Mies; Joseph Rabban; Yunn-Yi Chen; Dilip Giri; Laura van 't Veer; Nola Hylton
Journal:  J Clin Oncol       Date:  2012-05-29       Impact factor: 44.544

Review 2.  Neoadjuvant chemotherapy for operable breast cancer.

Authors:  J S D Mieog; J A van der Hage; C J H van de Velde
Journal:  Br J Surg       Date:  2007-10       Impact factor: 6.939

3.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

4.  Primary systemic therapy with intermittent weekly paclitaxel plus gemcitabine in patients with stage II and III breast cancer: a phase II trial.

Authors:  Keun Seok Lee; Jungsil Ro; Eun Sook Lee; Han Sung Kang; Seok Won Kim; Byung-Ho Nam; Youngmee Kwon; Eun-A Kim; Kyung Hwan Shin
Journal:  Invest New Drugs       Date:  2009-02-20       Impact factor: 3.850

5.  Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group.

Authors:  Mitch Dowsett; Torsten O Nielsen; Roger A'Hern; John Bartlett; R Charles Coombes; Jack Cuzick; Matthew Ellis; N Lynn Henry; Judith C Hugh; Tracy Lively; Lisa McShane; Soon Paik; Frederique Penault-Llorca; Ljudmila Prudkin; Meredith Regan; Janine Salter; Christos Sotiriou; Ian E Smith; Giuseppe Viale; Jo Anne Zujewski; Daniel F Hayes
Journal:  J Natl Cancer Inst       Date:  2011-09-29       Impact factor: 13.506

6.  Local-regional control according to surrogate markers of breast cancer subtypes and response to neoadjuvant chemotherapy in breast cancer patients undergoing breast conserving therapy.

Authors:  Abigail S Caudle; Tse-Kuan Yu; Susan L Tucker; Isabelle Bedrosian; Jennifer K Litton; Ana M Gonzalez-Angulo; Karen Hoffman; Funda Meric-Bernstam; Kelly K Hunt; Thomas A Buchholz; Elizabeth A Mittendorf
Journal:  Breast Cancer Res       Date:  2012-05-23       Impact factor: 6.466

7.  Strategies for subtypes--dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011.

Authors:  A Goldhirsch; W C Wood; A S Coates; R D Gelber; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2011-06-27       Impact factor: 32.976

8.  Impact of immunohistochemistry-based molecular subtype on chemosensitivity and survival in patients with breast cancer following neoadjuvant chemotherapy.

Authors:  Changhoon Yoo; Jin-Hee Ahn; Kyung Hae Jung; Sung-Bae Kim; Hak-Hee Kim; Hee Jung Shin; Sei Hyun Ahn; Byung Ho Son; Gyungyub Gong
Journal:  J Breast Cancer       Date:  2012-06-28       Impact factor: 3.588

9.  Chemotherapy response and recurrence-free survival in neoadjuvant breast cancer depends on biomarker profiles: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657).

Authors:  Laura J Esserman; Donald A Berry; Maggie C U Cheang; Christina Yau; Charles M Perou; Lisa Carey; Angela DeMichele; Joe W Gray; Kathleen Conway-Dorsey; Marc E Lenburg; Meredith B Buxton; Sarah E Davis; Laura J van't Veer; Clifford Hudis; Koei Chin; Denise Wolf; Helen Krontiras; Leslie Montgomery; Debu Tripathy; Constance Lehman; Minetta C Liu; Olufunmilayo I Olopade; Hope S Rugo; John T Carpenter; Chad Livasy; Lynn Dressler; David Chhieng; Baljit Singh; Carolyn Mies; Joseph Rabban; Yunni-Yi Chen; Dilip Giri; Alfred Au; Nola Hylton
Journal:  Breast Cancer Res Treat       Date:  2011-12-25       Impact factor: 4.872

10.  Repeated observation of breast tumor subtypes in independent gene expression data sets.

Authors:  Therese Sorlie; Robert Tibshirani; Joel Parker; Trevor Hastie; J S Marron; Andrew Nobel; Shibing Deng; Hilde Johnsen; Robert Pesich; Stephanie Geisler; Janos Demeter; Charles M Perou; Per E Lønning; Patrick O Brown; Anne-Lise Børresen-Dale; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-26       Impact factor: 12.779

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  17 in total

1.  Identifying Risk Factors for Regional Recurrence in Early-Stage Breast Cancer with pT1-2 and Negative Sentinel Lymph Node Biopsy.

Authors:  Kai-Yun You; Zhuo-Fei Bi; Lin Ding; Yu-Jia Ma; Yi-Min Liu; He-Rui Yao
Journal:  Cancer Manag Res       Date:  2020-09-28       Impact factor: 3.989

2.  A common Chk1-dependent phenotype of DNA double-strand break suppression in two distinct radioresistant cancer types.

Authors:  Patrick H Dinkelborg; Meng Wang; Liliana Gheorghiu; Joseph M Gurski; Theodore S Hong; Cyril H Benes; Dejan Juric; Rachel B Jimenez; Kerstin Borgmann; Henning Willers
Journal:  Breast Cancer Res Treat       Date:  2019-01-03       Impact factor: 4.872

3.  Targeted Intraoperative Radiotherapy Tumour Bed Boost during Breast-Conserving Surgery after Neoadjuvant Chemotherapy - a Subgroup Analysis of Hormone Receptor-Positive HER2-Negative Breast Cancer.

Authors:  Hans-Christian Kolberg; György Lövey; Leyla Akpolat-Basci; Miltiades Stephanou; Peter Fasching; Michael Untch; Oliver Hoffmann; Max Bulsara; Jayant Vaidya; Cornelia Liedtke
Journal:  Breast Care (Basel)       Date:  2017-09-21       Impact factor: 2.860

4.  Identification of glycerol-3-phosphate dehydrogenase 1 as a tumour suppressor in human breast cancer.

Authors:  Cefan Zhou; Jing Yu; Ming Wang; Jing Yang; Hui Xiong; Huang Huang; Dongli Wu; Shimeng Hu; Yefu Wang; Xing-Zhen Chen; Jingfeng Tang
Journal:  Oncotarget       Date:  2017-09-19

5.  Pathologic response after neoadjuvant chemotherapy predicts locoregional control in patients with triple negative breast cancer.

Authors:  Victor E Chen; Erin F Gillespie; Kaveh Zakeri; James D Murphy; Catheryn M Yashar; Sharon Lu; John P Einck
Journal:  Adv Radiat Oncol       Date:  2017-02-07

6.  Prognostic significance of PLIN1 expression in human breast cancer.

Authors:  Cefan Zhou; Ming Wang; Li Zhou; Yi Zhang; Weiyong Liu; Wenying Qin; Rong He; Yang Lu; Yefu Wang; Xing-Zhen Chen; Jingfeng Tang
Journal:  Oncotarget       Date:  2016-08-23

7.  Postmastectomy radiotherapy reduces locoregional and disease recurrence in patients with stage II-III triple-negative breast cancer treated with neoadjuvant chemotherapy and mastectomy.

Authors:  Xingxing Chen; Fan Xia; Jurui Luo; Jinli Ma; Zhaozhi Yang; Li Zhang; Yan Feng; Zhimin Shao; Xiaoli Yu; Xiaomao Guo
Journal:  Onco Targets Ther       Date:  2018-04-05       Impact factor: 4.147

8.  Association of surgical margins with local recurrence in patients undergoing breast-conserving surgery after neoadjuvant chemotherapy.

Authors:  Joseph Lin; Kuo-Juei Lin; Yu-Fen Wang; Ling-Hui Huang; Sam Li-Sheng Chen; Dar-Ren Chen
Journal:  BMC Cancer       Date:  2020-05-20       Impact factor: 4.430

Review 9.  The reciprocal influences of prognosis between two types of surgical interventions and early breast cancer patients with diverse luminal subtypes: A meta-analysis.

Authors:  Lin He; Shengnan Zhao; Min Liu; Zhumin Su; Yuanzhong Ren; Yuhua Song
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.817

10.  Margin Width and Local Recurrence in Patients Undergoing Breast Conservation After Neoadjuvant Chemotherapy.

Authors:  Mary Mrdutt; Alexandra Heerdt; Varadan Sevilimedu; Anita Mamtani; Andrea Barrio; Monica Morrow
Journal:  Ann Surg Oncol       Date:  2021-07-30       Impact factor: 4.339

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