Literature DB >> 21366896

Ki-67 can be used for further classification of triple negative breast cancer into two subtypes with different response and prognosis.

Bhumsuk Keam1, Seock-Ah Im, Kyung-Hun Lee, Sae-Won Han, Do-Youn Oh, Jee Hyun Kim, Se-Hoon Lee, Wonshik Han, Dong-Wan Kim, Tae-You Kim, In Ae Park, Dong-Young Noh, Dae Seog Heo, Yung-Jue Bang.   

Abstract

INTRODUCTION: Triple negative breast cancer (TNBC) has a poorer survival, despite a higher response rate to neoadjuvant chemotherapy. The purpose of this study was to identify the predictive or prognostic value of Ki-67 among patients with TNBC treated with neoadjuvant chemotherapy, and the role of Ki-67 in further classification of TNBC.
METHODS: A total of 105 TNBC patients who received neoadjuvant docetaxel/doxorubicin chemotherapy were included in the present study. Pathologic complete response (pCR) rate, relapse-free survival (RFS), and overall survival (OS) were compared according to the level of Ki-67.
RESULTS: pCR was observed in 13.3% of patients. TNBC with high Ki-67 expression (≥ 10%) showed a higher pCR rate to neoadjuvant chemotherapy than TNBC with low Ki-67 expression. None of the low Ki-67 group achieved pCR (18.2% in the high Ki-67 group vs. 0.0% in the low Ki-67 group, P = 0.019). However, a high Ki-67 expression was significantly associated with poor RFS and OS in TNBC, despite a higher pCR rate (P = 0.005, P = 0.019, respectively). In multivariate analysis, high Ki-67 was an independent prognostic factor for RFS in TNBC (hazard ratio = 7.82, P = 0.002). The high Ki-67 group showed a similar pattern of recurrence with overall TNBC, whereas the low Ki-67 group demonstrated a relatively constant hazard rate for relapse.
CONCLUSIONS: TNBC with high Ki-67 was associated with a more aggressive clinical feature despite a higher pCR rate. High proliferation index Ki-67 can be used for further classification of TNBC into two subtypes with different responses and prognosis.

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Year:  2011        PMID: 21366896      PMCID: PMC3219180          DOI: 10.1186/bcr2834

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


Introduction

Triple negative breast cancer (TNBC) demonstrates poor prognosis because of aggressive tumor biology, and lack of targeted agents such as trastuzumab or tamoxifen [1,2]. TNBC has a pattern of rapid recurrence following diagnosis, and the peak risk of recurrence is within three years [3,4]. However, after the peak risk period, the risk of recurrence declines rapidly, and recurrences seldom occur thereafter [3,4]. Several reports suggested that TNBC was a heterogeneous group comprising subtypes with different clinical outcomes, and further classification of TNBC using cytokeratin (CK) 5/6 and epidermal growth factor receptor (EGFR) was useful to discriminate these subtypes [5-7]. True basal subtype in TNBC, which was defined as CK5/6 positive or EGFR positive, has shown poorer survival than CK5/6 and EGFR negative TNBC, which meant that TNBC could be divided into two subtypes: the aggressive clone and the less aggressive clone. New clinically applicable biologic markers for TNBC need to be developed in order to identify the patients with poor prognosis, and alternative treatment options are needed [1]. The proliferation marker Ki-67 has repeatedly been confirmed as an independent predictive and prognostic factor in early breast cancer [8]. Breast cancer with high Ki-67 expression responds better to chemotherapy [9-12], but is associated with poor prognosis [13-16]. This phenomenon is similar to the triple negative paradox, which denotes that TNBC had a poorer survival, despite a higher response rate to neoadjuvant chemotherapy [4,10,17]. In addition, TNBC is associated with a higher expression of Ki-67 than non-TNBC [10,18]. However, to date, the reason for the triple negative paradox is not clear, and there is little study focusing on the clinical significance of Ki-67 in TNBC. The purpose of this study was to identify the predictive or prognostic value of Ki-67 among patients with TNBC treated with neoadjuvant chemotherapy, and the role of Ki-67 in further classification of TNBC.

Materials and methods

Patients and chemotherapy

Recently, we conducted neoadjuvant docetaxel/doxorubicin chemotherapy in stage II or III breast cancer, and reported the prognostic and predictive role of the molecular markers [10,19]. The detailed eligibility criteria and regimen were described in our prior reports [10,19]. In brief, the patients received three cycles of neoadjuvant docetaxel/doxorubicin chemotherapy by intravenous infusion every three weeks. After three cycles of neoadjuvant chemotherapy, the patients were re-evaluated for response and underwent curative surgery. Subsequently, the patients received three more cycles of docetaxel/doxorubicin as an adjuvant chemotherapy, followed by hormonal or radiation therapy, if indicated [20]. Between January 2002 and September 2008, a total of 370 consecutive patients who received neoadjuvant docetaxel/doxorubicin chemotherapy at Seoul National University Hospital were included in the present study. Among the 370 patients, 109 patients were classified as TNBC. We excluded one patient with metaplastic carcinoma because triple negative phenotype in metaplastic carcinoma showed a different tumor biology than that of invasive ductal carcinoma [21]. Three patients were excluded because Ki-67 was not available due to lack of tissue. Finally, a total of 105 TNBC patients were analyzed. This study protocol was reviewed and approved by the Institutional Review Board of the Seoul National University Hospital (approval number: H-1003-058-313). Because this study was performed using a total of 370 consecutive patients in our database, and involved no more than minimal risk for the subjects, the Institutional Review Board approved our request for the waiver of informed consent. Recommendations of the Declaration of Helsinki for biomedical research involving human subjects were also followed.

Immunohistochemistry

We performed an immunohistochemistry (IHC) using tissues obtained before treatment. Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), p53, bcl-2, and Ki-67 expressions were evaluated. IHC was performed as previously described [14,22]. ER and PR positivity was defined as ≥10% positive tumor cells with nuclear staining. HER2 positivity was defined as either HER2 gene amplification by fluorescent in situ hybridization or scored as 3+ by IHC [23]. In case of HER2 2(+), fluorescent in situ hybridization was performed to determine HER2 positivity. TNBC was defined as ER(-), PR(-), and HER2(-), regardless of the expression of EGFR and basal cytokeratins. Only cytoplasmic staining was scored as positive for bcl-2, regardless of the intensity of the stained cells. Cells stained for Ki-67 and p53 were counted and expressed as a percentage. The percentage was determined by the number of Ki-67 positive cells among the total number of counted tumor cells. High expression of Ki-67 was defined as ≥10%, because 10% as cutoff provided the best prognosis-prediction results in our institute [14]. Specimens with no residual invasive carcinoma in the both breast and lymph nodes were classified as pathologic complete response (pCR). Residual ductal carcinoma in situ was also included in the pCR category [24]. Otherwise the specimens which did not achieve pCR category were classified as residual disease

Statistics

Relapse-free survival (RFS) was determined as the interval between the initiation of neoadjuvant chemotherapy and the date when disease relapse or progression was first documented, or the date of death from any cause. Overall survival (OS) was measured from the date neoadjuvant chemotherapy was initiated to the date of death. The significance of the difference in the variables among two Ki-67 groups was calculated using Chi-square test or Fisher's exact test, where appropriate. The Kaplan-Meier product limit method and the Cox proportional hazard regression (PHR) model were used for survival analysis. The multivariate Cox PHR model was used to develop a prediction model for risk of relapse and death. Discrimination for survival data was evaluated using the C statistic with concordance index (C-index) [25,26], which is similar in concept to the area under the receiver operating characteristic (ROC) curve in the logistic model, but is appropriate for censored data. The C-index is the probability that given two subjects, one who will develop an event and the other who will not, the model will assign a higher probability of an event to the former [25]. In general, the model is considered as good for C-index value above 0.75. The log-rank tests were used to compare RFS or OS between different groups. Hazard function is the instantaneous failure rate at time t, which is the probability of event in the next small interval. All statistical tests were two-sided, with the level of significance established at P < 0.05. Statistical analyses were performed using STATA statistical software version 11.0 (STATA, College Station, TX, USA) and R software version 2.10.1 [27]. R package with theDesign, survivalROC, and survcomp libraries.

Results

Table 1 shows the baseline characteristics of the 105 patients. pCR was observed in 13.3% of the patients. With a median follow-up duration of 33.6 months, 33 relapse events occurred, and 20 patients died of disease progression. Estimated one-, two-, and three-year RFS rates, as calculated by the Kaplan-Meier method, were 83.8%, 71.6%, and 64.6%, respectively. The median value of Ki-67 was 20.0% (range = 0.0 to 80.0%, standard deviation = 23.3).
Table 1

Baseline characteristics of 105 patients

CharacteristicsTotalNo. of Pt (%)Low Ki-67No. of Pt (%)High Ki-67 aNo. of Pt (%)P-value
Median age (range)
 Age <35 years18 (17.1)5 (17.9)13 (16.9)0.907
 Age ≥35 years87 (82.9)23 (82.1)64 (83.1)
Performance status
 ECOG 025 (23.8)7 (25.0)18 (23.4)0.686
 ECOG 178 (74.3)21 (75.0)57 (74.0)
 ECOG 22 (1.9)0 (0.0)2 (2.6)
Pathologic characteristics
 Invasive ductal carcinoma101 (96.2)28 (100.0)73 (94.8)0.572
 Others4 (3.8)0 (0.0)4 (5.2)
Initial clinical stage
 IIA4 (3.8)1 (3.6)3 (3.9)0.985
 IIB19 (18.1)5 (17.9)14 (18.2)
 IIIA45(42.9)11 (39.3)34 (44.2)
 IIIB18 (17.1)5 (17.9)13 (16.9)
 IIIC19 (18.1)6 (21.4)13 (16.9)
Inflammatory breast cancer
 No97 (92.4)25 (89.3)72 (93.5)0.437
 Yes8 (7.6)3 (10.7)5 (6.5)
Type of surgery
 Breast conserving44 (41.9)13 (46.4)31 (40.3)0.571
 Mastectomy61 (58.1)15 (53.6)46 (59.7)
Radiation therapy
 No11 (10.5)2 (7.1)9 (11.7)0.723
 Yes94 (89.5)26 (92.9)68 (88.3)
Nuclear grade
 I1(1.0)0 (0.0)1 (1.3)0.260
 II7 (6.7)2 (7.1)5 (6.5)
 III88 (73.3)24 (85.7)53 (68.8)
 Unknown20 (19.0)2 (7.1)18 (23.4)
Histologic grade
 I0 (0.0)0 (0.0)0 (0.0)0.097
 II23 (21.9)10 (35.7)13 (16.9)
 III74 (70.5)17 (60.7)57 (74.0)
 Unknown8 (7.6)1 (3.6)7 (9.1)
bcl-2
 Negative66 (62.9)15 (53.6)51 (66.2)0.235
 Positive39 (37.1)13 (46.4)26 (33.8)
p53
 Negative39 (37.1)12 (42.9)27 (35.1)0.657
 Positive65 (61.9)16 (57.1)49 (63.6)
 Unknown1 (1.0)0 (0.0)1 (1.3)
pCR
 No91 (86.7)28 (100.0)86 (81.8)0.019
 Yes14 (13.3)0 (0.0)14 (18.2)

Abbreviations: ECOG, Eastern Cooperative Oncology Group; pCR, pathologic complete response.

a High Ki-67 expression was defined as ≥10%

Baseline characteristics of 105 patients Abbreviations: ECOG, Eastern Cooperative Oncology Group; pCR, pathologic complete response. a High Ki-67 expression was defined as ≥10%

Response to neoadjuvant chemotherapy by Ki-67 expression status in TNBC

Clinicopathologic characteristics between high and low Ki-67 groups were not different (Table 1). However, TNBC with high Ki-67 showed a higher pCR rate to neoadjuvant chemotherapy than TNBC with low Ki-67, and none of the patients in the low Ki-67 group achieved pCR (18.2% in the high Ki-67 group vs. 0.0% in the low Ki-67 group, P = 0.019). pCR rate was proportionally associated with the level of Ki-67. When analyzing with a cutoff of Ki-67 quartile (Q), the pCR rates were 0.0% in the first Q, 14.3% in the second Q, 18.2% in the third Q, and 22.2% in the fourth Q, respectively.

Survival by Ki-67 expression status in TNBC

High Ki-67 expression was significantly associated with poor RFS and OS in TNBC (Figure 1). Combining pCR and Ki-67, residual disease (RD) with high Ki-67 showed poorer RFS than RD with low Ki-67 and pCR with high Ki-67 (Figure 2). RD with low Ki-67 showed better RFS than RD with high Ki-67 (P = 0.017). However, there was no statistical difference in RFS between pCR with high Ki67 and RD with low Ki-67 (P = 0.449). Univariate analysis revealed that initial clinical stage, pathologic nodal stage, histologic grade, and Ki-67 were prognostic factors in TNBC. However, bcl2 and p53 were not associated with RFS. In multivariate analysis, Ki-67 was the independent prognostic factor for RFS in TNBC (Table 2). High Ki-67 expression was also significantly associated with poorer OS in multivariate analysis as well as univariate analysis (Table S1 in Additional file 1).
Figure 1

Kaplan-Meier curve of (A) relapse-free survival and (B) overall survival by Ki-67 in triple negative breast cancer.

Figure 2

Relapse-free survival (RFS) as a function of pathologic response. Residual disease (RD) with high Ki-67 showed poorer RFS than RD with low Ki-67 and pathologic complete response (pCR) with high Ki-67.

Table 2

Univariate and multivariate Cox regression analysis of factors associated with relapse-free survival in triple negative breast cancer

UnivariateMultivariate
VariablesHR95% CIP-valueHR95% CIP-value
Age
 <35 years1-
 ≥35 years0.770.33 to 1.760.529
Performance status
 ECOG01-
 ECOG11.410.54 to 3.700.483
 ECOG24.290.83 to 22.170.082
Initial clinical stage
 IIA, IIB11
 IIIA9.751.30 to 73.300.0277.510.98 to 57.830.053
 IIIB9.591.18 to 77.940.0347.720.92 to 64.930.060
 IIIC18.592.37 to 146.040.00514.751.74 to 125.110.014
Pathologic N stage
 pN011
 pN13.791.47 to 9.770.0065.872.08 to 16.590.001
 pN24.141.33 to 12.880.0144.951.45 to 16.910.011
 pN36.512.09 to 20.260.0017.542.14 to 26.560.002
bcl-2
 Negative1-
 Positive0.870.43 to 1.760.691
p53
 Negative1-
 Positive1.050.52 to 2.160.885
Histologic grade
 II11
 III3.371.03 to 11.060.0452.040.57 to 7.370.275
Ki-67
 Low Ki-6711
 High Ki-674.641.41 to 15.220.0117.822.18 to 28.130.002
 Continuous a1.021.01 to 1.030.003-

Abbreviations: CI, confidence interval; HR, hazard ratio.

a Entered as continuous variable.

Kaplan-Meier curve of (A) relapse-free survival and (B) overall survival by Ki-67 in triple negative breast cancer. Relapse-free survival (RFS) as a function of pathologic response. Residual disease (RD) with high Ki-67 showed poorer RFS than RD with low Ki-67 and pathologic complete response (pCR) with high Ki-67. Univariate and multivariate Cox regression analysis of factors associated with relapse-free survival in triple negative breast cancer Abbreviations: CI, confidence interval; HR, hazard ratio. a Entered as continuous variable. The discriminatory ability of the model for RFS was measured using C statistics. The C-index was 0.83 (95% confidence interval 0.78 to 0.89), indicating good model performance. We examined the hazard function for relapse. Figure 3A shows kernel estimates of the hazard functions of relapse in TNBC. TNBC has a pattern of rapid recurrence following diagnosis, and peak risk of recurrence was at 12 months. After three years, relapse did not occur except for one patient. When evaluating the hazard function by Ki-67 expression status, the high Ki-67 group showed a similar pattern of recurrence with overall TNBC, whereas the low Ki-67 group demonstrated a relatively constant hazard rate for relapse (Figure 3B).
Figure 3

Smoothed relapse hazard as shown by hazard function in TNBC. (A) Hazard functions for relapse in all TNBC patients. (B) Hazard functions for relapse by Ki-67.

Smoothed relapse hazard as shown by hazard function in TNBC. (A) Hazard functions for relapse in all TNBC patients. (B) Hazard functions for relapse by Ki-67.

Discussion

In the present study, we found that TNBC with high Ki-67 expression had poorer survival than TNBC with low Ki-67 expression, despite a higher pCR rate. Furthermore, TNBC with high Ki-67 expression showed rapid recurrence within three years, whereas TNBC with low Ki-67 expression showed a near-constant recurrence rate. Ki-67 could divide TNBC into two different clinical subtypes. It is well confirmed that pCR to neoadjuvant chemotherapy is an independent prognostic factor for survival [28-30]. However, several studies have shown that TNBC has a higher pCR rate but poorer survival than non-TNBC [4,10,17]. Like this triple negative paradox, we found that high Ki-67 in TNBC was associated with a higher pCR rate and poorer survival. High Ki-67, representing high proliferation potential, could explain the paradoxical feature. Ki-67 is a cell proliferation-associated antigen that is expressed in all stages of the cell proliferative cycle except the G0 (quiescent) phase [31]. Among the proliferation-related markers, Ki-67 is known to be the simplest and a widely used method to assess tumor proliferation. Several studies have investigated the predictive and prognostic values of Ki-67 in breast cancer patients receiving neoadjuvant chemotherapy [9,11,32-39]. High Ki-67 was associated with higher response rate to neoadjuvant chemotherapy in breast cancer [9,11,34,35,37], although no association between high Ki-67 and response rate was also reported [33,36,39]. Some studies emphasized the change of Ki-67 or postoperative level of Ki-67 in predicting the response [9,32,33,37,38]. Recently, Jones et al. [9] reported that higher pre-treatment Ki-67 was significantly more likely to achieve pCR than lower Ki-67, but was associated with poor RFS and OS. This was consistent with our results. However, the role of Ki-67 is still not yet conclusive because of heterogeneous patient populations, small sample sizes, and different chemotherapeutic regimens in previous studies [9,11,33-39]. Generally, tumor responsiveness to chemotherapy is believed to be associated with longer survival. However, TNBC, which has a higher Ki-67 level than non-TNBC [10,18] showed a higher pCR rate with poor survival [4,10,17]. Tumor responsiveness might not always affect prolonged survival in a tumor with high Ki-67. We first found this paradoxical feature in TNBC, and our results suggest that further classification using Ki-67 levels might improve the prognostic significance of pCR in neoadjuvant chemotherapy. Surely, it is not yet certain whether Ki-67 itself is a causable indicator for the triple negative paradox or just a mediator for another unknown factor. Further research to find out direct association is warranted. Previous reports indicated that TNBC had a pattern of early recurrence within the first three years of follow-up; however, the risk of recurrence significantly decreased thereafter [3,4]. Our study confirms these findings. Furthermore, when analyzing hazard rate by Ki-67 status, only TNBC with high Ki-67 demonstrated a pattern of early recurrence, whereas the low Ki-67 subgroup did not show any pattern at all. This suggests that an early recurrence pattern of TNBC is ascribed to the high Ki-67 subgroup which has a high proliferation potential. TNBC seems to be a heterogeneous group with at least two different clinical courses. TNBC with high proliferation potential should be followed-up more frequently within three years, and could be a candidate for additional postoperative treatments with different mechanisms. Additional discriminating markers should be sought to further refine the classification of TNBC. The present study has some limitations. First, we did not examine basal markers, namely, CK5/6 and EGFR, which are potential classifiers that differentiate TNBC into an aggressive basal clone and a less aggressive non-basal clone [40,41]. Further research is needed to determine which will be a better classifier for TNBC among Ki-67 and basal markers. Second, the pCR rate of our study (13.3%) was relatively lower than that of another study [17]. This was because only three cycles of neoadjuvant chemotherapy were performed and the tumor size was relatively large.

Conclusions

In conclusion, TNBC with high Ki-67 was associated with a more aggressive clinical feature despite a higher pCR rate. Ki-67 could explain the triple negative paradox, and Ki-67 can be used for further classification of TNBC into two subtypes with different prognosis. Our report suggests that TNBC with residual disease and high Ki-67 expression should be a candidate for additional postoperative treatment such as platinum-based chemotherapy, or clinical trials specifically testing novel therapies in order to improve the outcome for this high-risk group of patients. In addition, TNBC with high Ki-67 should be followed-up more frequently within three years to guard for any recurrence.

Abbreviations

C-index: C statistic with concordance index; CK: cytokeratin; EGFR: epidermal growth factor receptor; ER: estrogen receptor; HER2: human epidermal growth factor receptor 2; IHC: immunohistochemistry; OS: overall survival; pCR: pathologic complete response; PHR: proportional hazard regression; PR: progesterone receptor; Q: quartile; RD: residual disease; RFS: relapse-free survival; ROC: receiver operating characteristic; TNBC: triple negative breast cancer.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SAI and BK designed the concept of the study. SAI, SWH, DYO, JHK, SHL, DWK, TYK, DSH and YJB were responsible for provision of study patients and chemotherapy. DYN and WH were responsible for provision of study patients and surgery. IAP was responsible for pathologic examination and immunohistochemistry. BK and KHL were responsible for data gathering, statistical analysis and interpretation. SAI and BK wrote the final manuscript. All authors read and approved the final manuscript.

Additional file 1

Supplementary Table S1. Univariate and multivariate Cox regression analysis of factors associated with overall survival in triple negative breast cancer. Click here for file
  41 in total

1.  Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation.

Authors:  Michael J Pencina; Ralph B D'Agostino
Journal:  Stat Med       Date:  2004-07-15       Impact factor: 2.373

2.  Prognostic value of Ki-67 compared to S-phase fraction in axillary node-negative breast cancer.

Authors:  R W Brown; C D Allred; G M Clark; C K Osborne; S G Hilsenbeck
Journal:  Clin Cancer Res       Date:  1996-03       Impact factor: 12.531

Review 3.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

4.  Metaplastic breast carcinoma: clinicopathologic features and prognostic value of triple negativity.

Authors:  Kyu-Hyoung Lim; Do-Youn Oh; Eui Kyu Chie; Wonshik Han; Seock-Ah Im; Tae-You Kim; In Ae Park; Dong-Young Noh; Sung Whan Ha; Yung-Jue Bang
Journal:  Jpn J Clin Oncol       Date:  2009-11-03       Impact factor: 3.019

5.  Clinical course of breast cancer patients with complete pathologic primary tumor and axillary lymph node response to doxorubicin-based neoadjuvant chemotherapy.

Authors:  H M Kuerer; L A Newman; T L Smith; F C Ames; K K Hunt; K Dhingra; R L Theriault; G Singh; S M Binkley; N Sneige; T A Buchholz; M I Ross; M D McNeese; A U Buzdar; G N Hortobagyi; S E Singletary
Journal:  J Clin Oncol       Date:  1999-02       Impact factor: 44.544

6.  Proliferating fraction during neoadjuvant chemotherapy of primary breast cancer in relation to objective local response and relapse-free survival.

Authors:  A M Billgren; L E Rutqvist; E Tani; N Wilking; T Fornander; L Skoog
Journal:  Acta Oncol       Date:  1999       Impact factor: 4.089

7.  Effect of preoperative chemotherapy on the outcome of women with operable breast cancer.

Authors:  B Fisher; J Bryant; N Wolmark; E Mamounas; A Brown; E R Fisher; D L Wickerham; M Begovic; A DeCillis; A Robidoux; R G Margolese; A B Cruz; J L Hoehn; A W Lees; N V Dimitrov; H D Bear
Journal:  J Clin Oncol       Date:  1998-08       Impact factor: 44.544

8.  Immunohistochemical evaluation of growth fractions in human breast cancers using monoclonal antibody Ki-67.

Authors:  W Weikel; T Beck; M Mitze; P G Knapstein
Journal:  Breast Cancer Res Treat       Date:  1991-08       Impact factor: 4.872

9.  Growth fractions (Ki-67) in primary breast cancers, with particular reference to node-negative tumors.

Authors:  W Weikel; C Brumm; C Wilkens; T Beck; P G Knapstein
Journal:  Cancer Detect Prev       Date:  1995

10.  Evaluation of ER, PgR, HER-2 and Ki-67 as predictors of response to neoadjuvant anthracycline chemotherapy for operable breast cancer.

Authors:  R J Burcombe; A Makris; P I Richman; F M Daley; S Noble; M Pittam; D Wright; S A Allen; J Dove; G D Wilson
Journal:  Br J Cancer       Date:  2005-01-17       Impact factor: 7.640

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  96 in total

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3.  Quantitative assessment Ki-67 score for prediction of response to neoadjuvant chemotherapy in breast cancer.

Authors:  Jason R Brown; Michael P DiGiovanna; Brigid Killelea; Donald R Lannin; David L Rimm
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Journal:  Eur Radiol       Date:  2015-04-23       Impact factor: 5.315

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Journal:  Curr Treat Options Oncol       Date:  2018-04-14

7.  Effect of neoadjuvant chemotherapy in patients with triple-negative breast cancer: A meta-analysis.

Authors:  Muyou Tian; Yahua Zhong; Fuxiang Zhou; Conghua Xie; Yunfeng Zhou; Zhengkai Liao
Journal:  Oncol Lett       Date:  2015-03-26       Impact factor: 2.967

8.  Diagnostic performance of magnetic resonance imaging for assessing tumor response in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy is associated with molecular biomarker profile.

Authors:  Aida Kuzucan; Jeon-Hor Chen; Shadfar Bahri; Rita S Mehta; Philip M Carpenter; Peter T Fwu; Hon J Yu; David J B Hsiang; Karen T Lane; John A Butler; Stephen A Feig; Min-Ying Su
Journal:  Clin Breast Cancer       Date:  2012-04       Impact factor: 3.225

9.  Biomarkers in Patients with Metastatic Breast Cancer and the PRAEGNANT Study Network.

Authors:  P A Fasching; S Y Brucker; T N Fehm; F Overkamp; W Janni; M Wallwiener; P Hadji; E Belleville; L Häberle; F-A Taran; D Lüftner; M P Lux; J Ettl; V Müller; H Tesch; D Wallwiener; A Schneeweiss
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