Randomized trial of preoperative docetaxel with or without capecitabine after 4 cycles of 5-fluorouracil–epirubicin–cyclophosphamide (FEC) in early-stage breast cancer: exploratory analyses identify Ki67 as a predictive biomarker for response to neoadjuvant chemotherapy
verfasst von:
S. Ohno, L. W. C. Chow, N. Sato, N. Masuda, H. Sasano, F. Takahashi, H. Bando, H. Iwata, T. Morimoto, S. Kamigaki, T. Nakayama, S. Nakamura, K. Kuroi, K. Aogi, M. Kashiwaba, H. Yamashita, K. Hisamatsu, Y. Ito, Y. Yamamoto, T. Ueno, E. Fakhrejahani, N. Yoshida, M. Toi
This randomized, multicenter study compared the efficacy of docetaxel with or without capecitabine following fluorouracil/epirubicin/cyclophosphamide (FEC) therapy in operable breast cancer and investigated the role of Ki67 as a predictive biomarker. Patients were randomized to 4 cycles of docetaxel/capecitabine (docetaxel: 75 mg/m2 on day 1; capecitabine: 1,650 mg/m2 on days 1–14 every 3 weeks) or docetaxel alone (75 mg/m2 on day 1 every 3 weeks) after completion of 4 cycles of FEC (5-fluorouracil 500 mg/m2, epirubicin 100 mg/m2 and cyclophosphamide 500 mg/m2 on day 1 every 3 weeks). The primary endpoint was the pathological complete response (pCR) rate. Predictive factor analysis was conducted using clinicopathological markers, including hormone receptors and Ki67 labeling index (Ki67LI). A total of 477 patients were randomized; the overall response in the docetaxel/capecitabine and docetaxel groups was 88.3 and 87.4 %, respectively. There were no significant differences in the pCR rate (docetaxel/capecitabine: 23 %; docetaxel: 24 %; p = 0.748), disease-free survival, or overall survival. However, patients with mid-range Ki67LI (10–20 %) showed a trend towards improved pCR rate with docetaxel/capecitabine compared to docetaxel alone. Furthermore, multivariate logistic regression analysis showed pre-treatment Ki67LI (odds ratio 1.031; 95 % CI 1.014–1.048; p = 0.0004) to be a significant predictor of pCR in this neoadjuvant treatment setting. Docetaxel/capecitabine (after 4 cycles of FEC) did not generate significant improvement in pCR compared to docetaxel alone. However, exploratory analyses suggested that assessment of pre-treatment Ki67LI may be a useful tool in the identification of responders to preoperative docetaxel/capecitabine in early-stage breast cancer.
The online version of this article (doi:10.1007/s10549-013-2691-y) contains supplementary material, which is available to authorized users.
Introduction
Neoadjuvant chemotherapy has become increasingly significant in the treatment of operable early-stage breast cancer, with the advantage of the potential to downgrade tumors and increase the rate of breast conserving surgery (BCS) in patients that may have otherwise required a mastectomy [1]. Results from the National Surgical Adjuvant Breast and Bowel Project (NSABP) protocol B-18 trial demonstrated an increased likelihood in BCS in breast cancer patients treated with a neoadjuvant anthracycline-based regimen [1]. Although the B-18 trial did not demonstrate a survival advantage in patients treated with preoperative chemotherapy, it established pathological complete response (pCR) as a prognostic marker for disease-free survival (DFS). Indeed, pCR after neoadjuvant chemotherapy is considered a marker for favorable prognosis in breast cancer patients [2].
As such, clinical and molecular biomarkers capable of predicting pCR have been assessed following neoadjuvant treatment in breast cancer patients [3, 4]. In particular, the proliferation marker Ki67 has been reported to have predictive and prognostic value in patients with invasive breast cancer who received a range of neoadjuvant chemotherapy regimens, including anthracycline-based regimen without taxanes and anthracycline and taxane-based protocols [5].
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While neoadjuvant treatment with anthracycline-based regimens is highly effective in the treatment of breast cancer, the sequential addition of a taxane to an anthracycline-based neoadjuvant regimen has been demonstrated to induce additive efficacy. In the NSABP B-27 trial, the sequential addition of docetaxel after doxorubicin and cyclophosphamide (AC) therapy doubled the rate of pCR, increased clinical response and increased the proportion of negative axillary nodes in early breast cancer patients [6]. In addition, 5-fluorouracil–epirubicin and cyclophosphamide (FEC) followed by docetaxel as neoadjuvant chemotherapy in the Japan Breast Cancer Research Group (JBCRG) 01 trial resulted in a pCR rate of 16 % with BCS possible for 85 % of the patients assessed [7].
In addition to inducing increased efficacy with anthracyclines, docetaxel has demonstrated significant synergy with the oral prodrug capecitabine [8]. Capecitabine is converted to 5-fluorouracil in a three-step process catalyzed by thymidine phosphorylase (TP) [9] and exhibits tumor specificity by exploiting the significantly higher activity of TP in tumor tissue in comparison to healthy tissue [8, 9]. Docetaxel has been demonstrated to upregulate TP expression in tumor tissues, possibly accounting for the synergistic effect observed with capecitabine [8]. Clinical studies have shown that single-agent capecitabine was an active and tolerable treatment for metastatic breast cancer (MBC) with disease progression during and after anthracycline and taxane therapy, achieving response rates of 20–29 % and a median survival in excess of 1 year [10, 11].
On the basis of these findings, the docetaxel/capecitabine regimen has been demonstrated to be well tolerated and effective for neoadjuvant treatment of stage II/III or locally advanced breast cancer [12‐14]. Another study by O’Shaugnessy and colleagues also demonstrated a superior clinical response and survival outcome when the docetaxel/capecitabine regimen was compared with docetaxel alone in women with anthracycline-pretreated MBC [15]. However, these studies [12‐15] did not undertake analyses to identify the tumor characteristics that define patients likely to respond to neoadjuvant docetaxel/capecitabine treatment.
Our randomized trial compared the efficacy of preoperative FEC followed by docetaxel with or without capecitabine in patients with early-stage breast cancer and assessed biomarkers that may be used to identify responders, in order to establish individualized treatment regimens.
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Patients and methods
Study design
This multicenter, randomized, open study compared the efficacy of 4 cycles of FEC followed by 4 cycles of docetaxel and capecitabine or 4 cycles of docetaxel alone as neoadjuvant chemotherapy in patients with operable breast cancer. The study was approved by the Institutional Review Board of the Organisation of Oncology and Translational Research and conducted according to the Declaration of Helsinki. The primary endpoint was the pCR rate; secondary endpoints included toxicity, clinical response, frequency of breast and axillary lymph node conservation surgery, DFS, and overall survival (OS).
Patient eligibility
Women (20–70 years) with histologically confirmed operable invasive breast adenocarcinoma (T1C-3, N0, M0 (>1 cm)/T1-3, N1, M0) were eligible. In women without clinically suspicious axillary adenopathy, the primary breast tumor had to be >1 cm in diameter; patients with clinically suspicious axillary adenopathy could present with a primary tumor of any size (in accordance with cancer staging as per the American Joint Committee on Cancer).
Inclusion criteria were as follows: no prior treatment for breast cancer, Eastern Cooperative Oncology Group performance status of 0–1, white blood cell count >4,000–12,000 mm3 or neutrophil count >2,000 mm3, platelets >100,000 mm3, hemoglobin >9.5 g/dL, bilirubin <1.25× institutional upper limit of normal (ULN), creatinine <1.5× institutional ULN, creatinine clearance >30 mL/min, aspartate aminotransferase and alanine aminotransferase <1.5× institutional ULN, a normal electrocardiogram for cardiac function, and left ventricular ejection fraction of >60 %.
Exclusion criteria included uncontrolled medical conditions, significant interstitial pneumonia or pulmonary fibrosis, suspected of infection with fever, symptomatic varicella, required treatment for pleural or pericardial effusions, severe edema, severe peripheral neuropathy, required steroid pre-treatment, severe psychiatric disorders, inflammatory breast cancer, bilateral cancer (if both tumors were within the inclusion criteria, bilateral cancer was not excluded), and a history of other malignancies within the last 5 years (except for adequately treated non-melanoma skin cancer or carcinoma in situ of the cervix).
Study treatment
Patients were scheduled to receive 4 cycles of intravenous FEC (5-fluorouracil 500 mg/m2, epirubicin 100 mg/m2, cyclophosphamide 500 mg/m2) on day 1 every 3 weeks. Patients who completed 4 FEC cycles were randomly assigned to receive either 4 cycles of docetaxel (75 mg/m2, on day 1) plus capecitabine (825 mg/m2 twice daily on days 1–14) or 4 cycles of docetaxel alone (75 mg/m2, on day 1) every 3 weeks. For patients with a creatinine clearance of 30–50 mL/min, the initial dose of capecitabine was reduced to 75 % of the planned dose. Patients with disease progression while on FEC were excluded from randomization. A maximum 25 % dose reduction and 3-week dose delay were permitted for adverse events. Whereas a 75 % dose level was used as the initial dose for patients with low creatinine clearance, a further 25 % dose reduction was permitted for adverse events. Treatment prior to docetaxel comprised dexamethasone (8 mg oral; administered the morning and night before docetaxel). In addition, dexamethasone (10 mg intravenous) was administered 30 min before docetaxel. If a patient missed the 8 mg oral dexamethasone, the 10 mg intravenous dose was still administered and docetaxel administration occurred as planned. Primary surgery was undertaken within 3–6 weeks of neoadjuvant chemotherapy completion. Supportive care and postoperative endocrine or radiation therapy were administered at the investigator’s discretion. No patients received trastuzumab before surgery, as it was not approved in Japan at the time of the study.
Study assessments
Pre-enrolment assessments included medical history, physical examination, blood chemistry, bilateral mammogram, bone and computed tomography scans. Initial diagnosis of invasive adenocarcinoma was made by core needle biopsy. Estrogen receptor (ER) and progesterone receptor (PgR) status were confirmed by immunohistochemistry (IHC) before randomization. Human epidermal growth factor receptor 2 (HER2) status was confirmed by IHC or fluorescent in situ hybridization. For biomarker analysis, IHC was undertaken using a mouse anti-human TP monoclonal antibody (Chugai Pharmaceutical Co., Japan). TP immunoreactivity was detected in the cytoplasm of carcinoma cells and semi-quantitative evaluation was undertaken using >1,000 carcinoma cells in each case. Ki67 immunostaining was performed using MIB1 monoclonal antibody (Dako Co.Ltd.) as previously described [16]. Briefly, Ki67 was stained after overnight preparation using a 1:100 dilution of the antibody. Evaluation of Ki67 was performed by counting ≥1,000 carcinoma cells from each patient in the hot spots and the percentage of immunoreactivity was subsequently determined by a labelling index [17].
Clinicopathological assessments were undertaken at the central laboratory (Department of Anatomic Pathology, Tohoku University, Graduate School of Medicine, Japan). The clinical response was evaluated in accordance with the Response Evaluation Criteria In Solid Tumors guidelines. Tumor response evaluation was performed after cycles 4 and 8, and after each cycle where possible pCR was defined as no histological evidence of invasive carcinoma, or the appearance of only non-invasive or in situ carcinoma on pathologic examination of the surgical specimen. When histological diagnosis of pCR was difficult based on hematoxylin-eosin-stained tissue sections, irrespective of whether carcinoma cells were present as ductal carcinoma in situ components, immunohistochemistry of myoepithelial markers such as cytokeratin 5/6 and p63 was used to determine the presence of invasive carcinoma [18‐20]. Toxicity was graded and reported according to the NCI Common Terminology Criteria for Adverse Events version 3.
Statistical analysis
Following a reported 16 % pCR rate when FEC was followed by docetaxel alone in the JBCRG 01 trial [7], it was determined that 434 assessable patients were required for randomization to achieve 80 % power for the detection of an increase in the proportion of pCR rate of the docetaxel/capecitabine versus docetaxel group. Differences in pCR rates were calculated using a one-sided Chi square test with Schouten collection at the alpha level of 5 %; 95 % confidence interval (CI) was also calculated. In predictive factor analysis, the interaction of pCR with Ki67 as a continuous variable was explored using the subpopulation treatment effect pattern plots (STEPP) method. For each risk factor, the odds ratio (OR) for pCR and 95 % CI was calculated using simple and multivariate logistic regression models. DFS and OS were calculated using the Kaplan–Meier method. For each prognostic factor, hazard ratio (HR) for DFS and 95 % CI was calculated using the simple Cox model. Factors associated with DFS in univariate analysis were included in the multivariate Cox model.
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Results
Patient population
A total of 504 patients were enrolled into the study (15 centers in Japan, 1 in China, and 1 in Hong Kong), 27 of whom withdrew during FEC therapy. Following FEC therapy, 239 patients were randomly assigned to the docetaxel/capecitabine group and 238 patients to the docetaxel alone group; all 477 patients were included in the intent-to-treat (ITT) population. Patients randomized to both groups were well balanced with respect to age, menopausal status, and baseline tumor characteristics (Table 1).
Table 1
Baseline patient demographics and clinical characteristics
Number
Total
FEC only
FEC + T
FEC + TX
p value
504
27
238
239
Age
Median
49.0
47.0
49.0
49.0
W:0.8769
Range
25.0–70.0
28.0–65.0
25.0–68.0
25.0–70.0
Menopausal status
Premenopausal
282 (56.0 %)
16 (59.3 %)
133 (55.9 %)
133 (55.6 %)
C:0.9590
Postmenopausal
222 (44.0 %)
11 (40.7 %)
105 (44.1 %)
106 (44.4 %)
Initial tumor size
Median
3.5
3.5
3.5
3.5
W:0.7508
Range
0.8–10.5
2.0–10.5
0.8– 8.0
1.0– 9.0
Axillary lymph nodes*
Positive
280 (55.6 %)
12 (44.4 %)
134 (56.3 %)
134 (56.1 %)
C:0.9586
Negative
224 (44.4 %)
15 (55.6 %)
104 (43.7 %)
105 (43.9 %)
Clinical stage
I
5 (1.0 %)
0 (0.0 %)
2 (0.8 %)
3 (1.3 %)
C:0.9170
IIA
218 (43.3 %)
12 (44.4 %)
100 (42.0 %)
106 (44.4 %)
IIB
226 (44.8 %)
11 (40.7 %)
110 (46.2 %)
105 (43.9 %)
IIIA
55 (10.9 %)
4 (14.8 %)
26 (10.9 %)
25 (10.5 %)
Histologic type
Infiltrating ductal carcinoma
491 (97.4 %)
25 (92.6 %)
233 (97.9 %)
233 (97.5 %)
C:0.1087
Infiltrating lobular carcinoma
8 (1.6 %)
1 (3.7 %)
1 (0.4 %)
6 (2.5 %)
Mucinous carcinoma
1 (0.2 %)
0 (0.0 %)
1 (0.4 %)
0 (0.0 %)
Invasive micropapillary carcinoma
1 (0.2 %)
0 (0.0 %)
1 (0.4 %)
0 (0.0 %)
Infiltrated apocrine carcinoma
2 (0.4 %)
0 (0.0 %)
2 (0.8 %)
0 (0.0 %)
Invasive small cell carcinoma
1 (0.2 %)
1 (3.7 %)
0 (0.0 %)
0 (0.0 %)
Histologic type
Infiltrating ductal carcinoma
491 (97.4 %)
25 (92.6 %)
233 (97.9 %)
233 (97.5 %)
C:0.7657
Otherwise
13 (2.6 %)
2 (7.4 %)
5 (2.1 %)
6 (2.5 %)
Nuclear grade
G1
86 (17.1 %)
8 (29.6 %)
42 (17.6 %)
36 (15.1 %)
C:0.6716
G2
243 (48.2 %)
14 (51.9 %)
110 (46.2 %)
119 (49.8 %)
G3
167 (33.1 %)
5 (18.5 %)
81 (34.0 %)
81 (33.9 %)
NA/ND
8 (1.6 %)
0 (0.0 %)
5 (2.1 %)
3 (1.3 %)
ER
Positive
327 (64.9 %)
15 (55.6 %)
157 (66.0 %)
155 (64.9 %)
C:0.7423
Negative
163 (32.3 %)
9 (33.3 %)
75 (31.5 %)
79 (33.1 %)
NA/ND
14 (2.8 %)
3 (11.1 %)
6 (2.5 %)
5 (2.1 %)
PgR
Positive
242 (48.0 %)
10 (37.0 %)
113 (47.5 %)
119 (49.8 %)
C:0.5775
Negative
246 (48.8 %)
14 (51.9 %)
119 (50.0 %)
113 (47.3 %)
NA/ND
10 (2.0 %)
3 (11.1 %)
6 (2.5 %)
1 (0.4 %)
ER/PgR*
Positive
331 (65.7 %)
15 (55.6 %)
158 (66.4 %)
158 (66.1 %)
C:0.8930
Negative
159 (31.5 %)
9 (33.3 %)
74 (31.1 %)
76 (31.8 %)
NA/ND
14 (2.8 %)
3 (11.1 %)
6 (2.5 %)
5 (2.1 %)
HER2*
Positive
99 (19.6 %)
7 (25.9 %)
44 (18.5 %)
48 (20.1 %)
C:0.6576
Negative
380 (75.4 %)
17 (63.0 %)
183 (76.9 %)
180 (75.3 %)
NA/ND
25 (5.0 %)
3 (11.1 %)
11 (4.6 %)
11 (4.6 %)
ER estrogen receptor, FEC fluorouracil/epirubicin/cyclophosphamide, HER2 Human epidermal growth factor receptor 2, NA not available, ND no data, PgR progesterone receptor, T docetaxel alone, TX docetaxle plus capecitabine
Treatment administration and study completion
No significant differences were observed in the delivery of FEC therapy between the treatment groups. However, the relative dose intensities for docetaxel were significantly lower in the docetaxel/capecitabine group than in the docetaxel alone group (p = 0.0006). A 25 % dose reduction was required for 33 % (79/239) of patients in the docetaxel/capecitabine group and 5.9 % (14/238) of patients in the docetaxel alone group. The rate of completion after the initial dose was significantly lower in the docetaxel/capecitabine group compared with the docetaxel alone group (44.8 and 88.7 %, respectively; p < 0.0001). Study discontinuation was significantly higher in the docetaxel/capecitabine (53/239; 22 %) group compared to docetaxel alone (13/238, 5.5 %; p < 0.0001). The majority of study withdrawals were attributed to drug toxicity (docetaxel/capecitabine: 31/53 patient; docetaxel alone: 9/13 patients; Fig. 1).
Fig. 1
Study completion. FEC: fluorouracil/epirubicin/cyclophosphamide; T: docetaxel alone; TX: docetaxel plus capecitabine
×
Clinical and pathological response
The overall response rate (cCR and cPR) was 88.3 % (211/239) in the docetaxel/capecitabine group and 87.4 % (208/238) in the docetaxel group; no significant differences in clinical response were noted. The proportion of BCS was 70.7 % (169/239) in the docetaxel/capecitabine group and 71.4 % (170/238) in the docetaxel group; the proportion of axillary lymph node conservation surgery was 28.9 % (69/239) and 27.7 % (66/238), respectively (data not shown).
The pCR rate was 23 % in the docetaxel/capecitabine group and 24 % in the docetaxel group (p = 0.748; Table 2a). However, we observed an interesting trend in the subset of patients who had discontinued treatment or received a 25 % dose reduction. Despite treatment withdrawal, 12/53 in the docetaxel/capecitabine group and 1/13 in the docetaxel group achieved a pCR with rates of 22.6 and 7.7 %, respectively. A similar trend was observed in the 33.1 % (79/239) and 5.9 % (14/238) who received a 25 % dose reduction and achieved pCR rates of 24.1 % (19/79) and 14.3 % (2/14), respectively (Table 2b). Although not statistically significant, pCR rates were higher in the docetaxel/capecitabine group in comparison to the docetaxel group in this subpopulation.
Table 2
Pathological response by (a) central assessment, (b) central assessment in patients who discontinued or received a reduced dose
FEC (n = 27)
TX (n = 239)
T (n = 238)
Difference
p value
% (95% CI)
% (95% CI)
% (95% CI)
(TX-T) (95 %CI)
(a)
pCR
7.4
23 (17.8–28.9)
24.4 (19.1–30.3)
−1.4 (−9.0 to 6.3)
0.7476
pINV
48.1 (28.7–68.1)
72.4 (66.3–78.0)
71.4 (65.2–77.1)
1
Missing*
44.4 (25.5–64.7)
4.6 (2.3–8.1)
4.2 (2.0–6.7)
0.4
(b)
pCR
7.4
23 (17.8–28.9)
24.4 (19.1–30.3)
−1.4 (−9.0 to 6.3)
0.7476
With discontinuation
(n = 12/53)
(n = 1/13)
pCR
–
22.6 (12.3–36.2)
7.7 (0.2–36.0)
14.9 (−3.4 to 33.3)
With dose reduction
(n = 19/79)
(n = 2/14)
pCR
–
24.1 (15.1–35.0)
14.3 (1.8–42.8)
9.8 (−10.8 to 30.4)
pCR pathological complete response, pINV pathological presence of invasive tumor, * patients missing post-baseline mainly due to discontinuation as a result of toxicity, CI confidence interval, FEC 5-fluorouracil–epirubicin–cyclophosphamide, TX docetaxel plus capecitabine, T docetaxel alone
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Disease-free and overall survival
After a median 4.5-year follow-up, the 3-year DFS was estimated at 92.7 % in the docetaxel/capecitabine group and 90.7 % in the docetaxel group. Four patients were excluded from the ITT population due to missing data. A total of 29 events occurred in the docetaxel/capecitabine group and 32 in the docetaxel group, with a HR of 0.910 (95 % CI 0.551–1.502; Fig. 2a). During follow-up, 10 deaths occurred in the docetaxel/capecitabine group and 15 in the docetaxel group, with a point of estimate HR of 0.671 (95 % CI 0.303–1.488; Fig. 2b).
Fig. 2
a Disease-free survival. b Overall survival. FEC: fluorouracil/epirubicin/cyclophosphamide; T: docetaxel alone; TX: docetaxel plus capecitabine
×
Predictive factor analyses for pathological response and survival status
Subpopulation analysis for pathological response showed no significant difference between treatment groups (data not shown). To identify predictive factors for pathological response using age and Ki67 as continuous variables, an overlapping subpopulation of 84 patients was constructed and analyzed using the STEPP method. Although no statistical significance was achieved, STEPP analysis indicated a trend in favor of improved pCR rate in patients with mid-range of Ki67LI (10–20 %) following docetaxel/capecitabine compared with docetaxel alone (Fig. 3). To further investigate the predictive value of Ki67 relative to pCR, univariate and multiple logistic regression models were fitted to calculate the odds ratio (OR) and 95 % CI for each risk factor.
Fig. 3
STEPP analysis of the treatment effect of docetaxel/capecitabine compared with single-agent docetaxel as measured by pCR. Values >0 suggested that the combination regimen was better; <0 indicated that single-agent docetaxel was better. Difference in pCR is shown (dashed black lines) with corresponding 95 % CI (dashed red lines) and corresponding 95 % confidence band (dashed blue lines). Overall difference in pCR (solid horizontal red line) is shown
×
Univariate analysis showed that nuclear grading, ER and/or PgR status, HER2 status, baseline Ki67 and TP-SI were all strongly associated with pCR (Table 3a). Multivariate analysis was performed using the predictive variables identified in the univariate analysis. To evaluate the effect of Ki67, a multivariate logistic regression analysis was undertaken in 410 patients with available baseline data for nuclear grading, ER and/or PgR, HER2, and Ki67. In the first model, all of these factors continued to be 15 % significant predictors for pCR. In the final model, pre-treatment levels of Ki67 proved to be a predictive factor for pCR, with an OR of 1.031 (95 % CI 1.014–1.048; p = 0.0004). Using this model, the random cross-validated sensitivity and specificity were 83.3 and 63.4 %, respectively (Table 3b).
Table 3
Prediction of pCR using (a) simple logistic regression model, (b) multiple logistic regression model with Ki67
Factor
# pat
# res
OR
95 %CI
p value
(a)
Age
≤49
248
56
0.880
0.577–1.343
0.5534
≥50
229
57
1
Initial tumor size
≤2.0
29
7
1.047
0.409–2.682
0.9919
2.1–4.0
315
75
1.028
0.637–1.659
≥4.1
133
31
1
Axillary lymph node
Positive
268
62
0.932
0.610–1.426
0.7467
Negative
209
51
1
Menopausal status
Pre
266
60
0.868
0.568–1.326
0.5135
Post
211
53
Stage
I/IIa
54
211
1.849
0.818–4.179
0.3355
IIb
51
215
1.671
0.738–3.786
III
8
51
1
Nuclear grading
G1
78
9
0.240
0.112–0.517
<.0001
G2
229
46
0.463
0.293–0.731
G3
162
57
1
ER and/or PgR
Positive
327
58
0.265
0.167–0.422
<.0001
Negative
116
52
1
HER2
Positive
62
33
4.552
2.604–7.958
<.0001
Negative
380
76
1
Baseline of Ki67 (%)
≥10
299
95
4.572
2.348–8.903
<.0001
<10
119
11
1
Continuous
418
1.043
1.027–1.059
<.0001
TP-CI
1 + , 2 + , 3+
282
73
1.715
0.851–3.456
0.1316
0
65
11
1
2 + , 3+
119
33
1.332
0.801–2.213
0.2690
0, 1+
228
51
1
TP-SI
1 + , 2 + , 3+
324
84
4.025
0.929–17.438
0.0627
0
25
2
1
2 + , 3+
197
59
1.979
1.182–3.315
0.0095
0, 1+
152
27
1
OR
95 %CI
p value
Sensitivity specificity
ROC (95 % CI)
Contrast with final model
(b)
Grading
1
0.312
0.129–0.756
0.0027
Random cv
Apparent
2
0.461
0.274–0.773
Sen: 0.8113
0.7510
3
1
(0.6034, 0.8958)
(0.6999, 0.8021)
ER and/or PgR
Positive
0.384
0.230–0.642
0.0003
Negative
1
Spe: 0.6097
Random cv
HER2
Positive
3.816
2.056–7.081
<.0001
(0.5517, 0.7391)
0.7353
Negative
1
(0.6664, 0.7901)
Grading
1
0.402
0.163–0.991
0.00281
Random cv
Apparent
Apparent
2
0.536
0.316–0.909
Sen: 0.8000
0.7657
0.0147
3
1
(0.6599, 0.8889)
(0.7172, 0.8143)
(−0.0055, 0.0350)
ER and/or PgR
Positive
00.413
0.247–0.692
0.0008
Negative
1
Spe: 0.6458
HER2
Positive
3.522
1.890–6.563
<.0001
(0.5792, 0.7452)
Random cv
Random cv
Negative
0.7489
0.0168
Ki67 (%)
≥10
2.718
1.331–5.549
0.0061
(0.6827, 0.7986)
(−0.0303, 0.041)
<10
1
Grading
1
0.418
0.169–1.035
0.0298
Random cv
Apparent
Apparent
2
0.530
0.312–0.900
Sen: 0.8333
0.7774
0.0264
3
1
(0.6735, 0.9400)
(0.7289, 0.8259)
(0.0015, 0.0513)
ER and/or PgR
Positive
0.447
0.265–0.754
0.0026
Negative
1
Spe: 0.6344
Random cv
Random cv
HER2
Positive
3.794
2.038–7.065
<0.0001
(0.5063, 0.7713)
0.7607
0.0274
Negative
1
(0.6993, 0.8099)
(−0.0175, 0.0596)
Ki67 (continuous)
1.031
1.014–1.048
0.0004
#pat number of patients, #res number of responders, CI confidence interval, ER estrogen receptor, HER2 human epidermal growth factor receptor 2, OR odds ratio, PgR progesterone receptor, TP-CI thymidine phosphorylase, interstitial, TP-SI thymidine phosphorylase, stromal
ER estrogen receptor, HER2 human epidermal growth factor receptor 2, PgR progesterone receptor, OR odds ratio
Predictive factors for DFS were analyzed using a multiple Cox model in a landmark analysis (Online Resource). When pCR and postKi67 were included in the final model, tumor stage (I, IIa/III: HR 0.144, 95 % CI 0.051–0.404; IIb/III: HR 0,264, 95 % CI 0.107–0.651; p = 0.0006), cancer cell TP status (continuous variables: HR 0.966, 95 % CI 0.941–0.993; p = 0.0125), pCR, and post-treatment Ki67LI (pCR/Ki67 <10/≥10: HR 0.269, 95 % CI 0.110–0.655; p = 0.0038) were all significantly associated with DFS (Table 4).
Table 4
Hazard ratio for disease-free survival using a multiple cox model in landmark analysis
Factors
HR
(95 % CI)
p value
The final model
Stage
I/IIa
0.160
0.059–0.436
0.0016
IIb
0.390
0.170–0.893
III
1
ER and/or PgR
Positive
0.468
0.235–0.932
0.0308
Negative
0.974
0.953–0.996
0.0193
TP-CP
Continuous
1
Extended model 1
Stage
I/IIa
0.170
0.065–0.444
0.0011
IIb
0.360
0.165–0.787
III
1
ER and/or PgR
Positive
0.327
0.160–0.670
0.0023
Negative
1
TP-CP
Continuous
0.975
0.954–0.997
0.0253
pCR
Responder
0.191
0.052–0.696
0.0121
Nonresponder
Extended model 2
Stage
I/IIa
0.133
0.051–0.349
0.0002
IIb
0.308
0.134–0.706
III
1
ER and/or PgR
Positive
0.441
0.221–0.878
0.0198
Negative
1
TP-CP
Continuous
0.974
0.953–0.996
0.0199
Treatment
Completion
0.633
0.209–1.917
0.3560
Reduction
1.125
0.339–3.729
Discontinuation
1
Extended model 3
Stage
I/IIa
0.134
0.051–0.350
0.0002
IIb
0.309
0.135–0.706
III
1
ER and/or PgR
Positive
0.439
0.220–0.878
0.0200
Negative
1
TP-CP
Continuous
0.974
0.953–0.996
0.0183
Treatment
Completion
0.584
0.278–1.226
0.1554
Otherwise
1
Extended model 4
Stage
I/IIa
0.153
0.056–0.419
0.0006
IIb
0.279
0.116–0.673
III
1
ER and/or PgR
Positive
0.577
0.229–1.454
0.2433
Negative
1
TP-CP
Continuous
0.967
0.941–0.993
0.0144
p CR & PostKi67
Responder
0.137
0.034–0.549
0.0140
PostKi67 < 10
0.388
0.143–1.052
PostKi67≧10
1
Extended model 5
Stage
I/IIa
0.144
0.051–0.404
0.0006
IIb
0.264
0.107–0.651
III
1
ER and/or PgR
Positive
0.756
0.334–1.712
0.5030
Negative
1
TP-CP
Continuous
0.966
0.941–0.993
0.0125
pCR & PostKi67
Responder
0.269
0.110–0.655
0.0038
PostKi67 < 10
PostKi67≧10
1
Extended model 5
Stage
I/IIa
0.200
0.072–0.561
0.0031
IIb
0.264
0.103–0.676
III
1
ER and/or PgR
Positive
0.385
0.152–0.977
0.0445
Negative
1
TP-CP
Continuous
0.970
0.943–0.997
0.0301
ER estrogen receptor, HER2 human epidermal growth factor receptor 2, PgR progesterone receptor, OR odds ratio, TP-CP thymidine phosphorylase, plasma
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Safety profile
The frequency of major adverse events (≥grade 3) of docetaxel/capecitabine and docetaxel group were as follows: leukopenia (36 and 34 %, respectively), neutropenia (38 and 34 %, respectively), febrile neutropenia (8 and 5 %, respectively), and hand-foot syndrome (15 and 2 %, respectively). Docetaxel/capecitabine was associated with more capecitabine-related toxicity, including hand-foot syndrome, nausea, mucositis, and increased alanine aminotransferase. Six serious adverse events were reported for 3 patients in the docetaxel/capecitabine group (pneumonitic cough, muscle pain, neutropenia fever) and 3 patients in the docetaxel group (suicide, loss of eyesight of left eye, hematological toxicity). The event of suicide in the docetaxel alone group occurred after completion of treatment and was considered as unrelated to study treatment.
Discussion
We have presented results from a randomized study comparing preoperative capecitabine/docetaxel with docetaxel alone after FEC in early-stage breast cancer, and have identified Ki67 as a predictive biomarker that may be used to identify patients likely to respond to this neoadjuvant regimen.
In contrast to previous reports, we observed no difference in the pCR rate between the docetaxel/capecitabine and the docetaxel group. Our observation was similar to that from the GeparQuattro study, in which docetaxel/capecitabine did not improve pCR rate in comparison to docetaxel after epirubicin/cyclophosphamide treatment in the neoadjuvant setting [21]. Although a 16 % pCR rate was expected in the docetaxel group based on previous observations [5], the pCR rate in our study was higher (24 %). The variation in clinical outcome may be attributed to the currently limited means with which to select patient subpopulations most likely to respond to a given treatment regimen.
The docetaxel/capecitabine regimen was less well tolerated than docetaxel alone, with withdrawal rates of 22.2 and 5.5 % and dose reduction rates of 33.1 and 5.9 %, respectively. Despite treatment withdrawals and dose reductions, achievement of higher pCR rates in the docetaxel/capecitabine group in comparison to the docetaxel group in this subpopulation suggests that dose reduction does not negatively impact capecitabine efficacy. Our data confirms a similar observation in a MBC study, which reported no significant effect on efficacy when dose reduction occurred in 65 and 36 % of patients receiving the docetaxel/capecitabine regimen and docetaxel alone, respectively. However, an increased risk of disease progression was seen in patients with a dose reduction to 50 % of the starting dose in the docetaxel group (HR 1.91) [15]. As reported by other groups [22], our data demonstrate that the capecitabine dose can be reduced to minimize adverse effects without compromising efficacy. It was, however, interesting to observe that patients who discontinued or received a dose reduction in the docetaxel/capecitabine group achieved a higher pCR compared with the docetaxel alone group, while there was no difference in pCR between both groups in patients that completed the study at the original dose. Although the reason for this observation is unclear, the observation that the relative dose intensity for docetaxel was significantly lower in the combination arm compared with the single agent docetaxel arm may at least in part, account for the lack of difference in pCR. In addition, levels of toxicity may have had an impact on drug delivery and thus, pCR.
In addition to comparing the efficacy of neoadjuvant docetaxel/capecitabine with docetaxel alone, our study also sought to identify biomarkers that can identify patients likely to respond to treatment with docetaxel/capecitabine in early-stage breast cancer. Previously identified biomarkers, such as nuclear grading, ER and/or PgR status, HER2 status and Ki67, correlated with pCR in our study, as in other published studies [23]. Of particular interest was pre-treatment Ki67LI, which had a strong correlation with pCR and added to the predictive value of the multivariate logistic regression model. Indeed, data from several other studies suggest that high Ki67 levels in breast cancer are a predictive factor for pCR rate [5, 24‐27]. This effect was present in our study, as patients with ≥10 % pre-treatment Ki67LI achieved a higher pCR rate in both the docetaxel/capecitabine (32.6 %) and docetaxel alone (31 %) groups, in comparison to patients with <10 % pre-treatment Ki67LI (pCR rates 6.5, 12.3 %, respectively). These findings support the suggestion that detection of pre-treatment Ki67LI could identify patients most likely to benefit from neoadjuvant chemotherapy. The prognostic value of Ki67 was also confirmed in our study, as post-treatment Ki67LI and pCR were significantly associated with DFS using a multiple Cox model in a landmark analysis. Thus, prognostic and predictive value was detected for Ki67, showing it to be a feasible marker for development of individualized treatment options for early-stage breast cancer patients.
To our knowledge, this is the first multicenter randomized study showing that assessment of pre- and post-treatment Ki67 may be a useful tool in predicting pCR and DFS with neoadjuvant docetaxel treatment with or without capecitabine in patients with early-stage breast cancer. Although further studies are required, our data suggests that the routine detection of the Ki67 proliferation marker in early-stage breast cancer could be a useful prognostic tool for the identification of patients most likely respond to preoperative docetaxel with or without capecitabine. As such, in addition to the current leading parameters (ER, PgR, and HER2 status), we propose that Ki67 should be included in the list of required routine biological markers that are used to define treatment recommendations in patients with early-stage breast cancer. Indeed, detection of predictive biomarkers prior to chemotherapy is likely to prove to be of the greatest advantage for neoadjuvant chemotherapy.
Acknowledgments
This study was made possible by the generous support and supply of knowledge by Product Research Department, Kamakura Research Laboratories, Chugai Pharmaceutical Co., Ltd. and Sanofi K.K., Japan. This work was supported by an unconditional grant from Sanofi K.K., Japan.
Conflict of interest
The authors have declared no conflicts of interest.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
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Randomized trial of preoperative docetaxel with or without capecitabine after 4 cycles of 5-fluorouracil–epirubicin–cyclophosphamide (FEC) in early-stage breast cancer: exploratory analyses identify Ki67 as a predictive biomarker for response to neoadjuvant chemotherapy
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