| Literature DB >> 27145269 |
Wei Wang1, Jiayi Wu1, Peifeng Zhang2, Xiaochun Fei3, Yu Zong1, Xiaosong Chen1, Ou Huang1, Jian-Rong He1, Weiguo Chen1, Yafen Li1, Kunwei Shen1, Li Zhu1.
Abstract
This study was to investigate the prognostic role of Ki-67 in further classification of triple negative breast cancer (TNBC), and to test whether high expression level of Ki67 can predict benefit from carboplatin. From January 2004 to December 2012, 363 patients operated for TNBC were identified through the institutional clinical database. After a median follow-up time of 34 months (5.2-120.0 months), 62 patients (17.1%) had relapses and 33 patients (9.1%) died of breast cancer. In univariate analysis, high Ki-67 index as well as larger tumor size and lymph node involvement was associated with shorter disease-free survival (DFS) and overall survival (OS). In multivariate analysis, high Ki-67 is an independent risk factor for DFS (Risk Ratio, RR: 2.835, 95% confidence interval, 95% CI: 1.586-5.068, P < 0.001) and OS (RR: 3.180, 95% CI: 1.488-6.793, P = 0.003). When analyzing the 3-year DFS by Ki-67 distribution, Subpopulation Treatment Effect Pattern Plot analysis showed a beneficial effect of carboplatin in patients with high Ki-67 index. In conclusion, TNBC is probably a heterogeneous disease with different characteristics and prognosis, and may be further subdivided according to the Ki-67 expression levels. Patients in the high Ki- 67 group seem to benefit more from treatment with carboplatin, but this needs to be further verified.Entities:
Keywords: breast carcinoma; hormonal receptor negativity; human epithelial growth factor receptor 2 negativity; platinum; proliferation index
Mesh:
Substances:
Year: 2016 PMID: 27145269 PMCID: PMC5058740 DOI: 10.18632/oncotarget.9075
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Correlation of Ki-67 and patient characteristics
| Characteristics | Low Ki-67 N (%) | High Ki-67 N (%) | |
|---|---|---|---|
| Age | 0.000 | ||
| ≤ 55 | 83 (42.3%) | 106 (63.5%) | |
| > 55 | 113 (57.7%) | 61 (36.5%) | |
| Histology | 0.000 | ||
| IDC | 159 (81.1%) | 158 (94.6%) | |
| Non-IDC | 37 (18.9%) | 9 (5.4%) | |
| Tumor size (cm) | 0.177 | ||
| T1 | 98 (50.0%) | 73 (43.7%) | |
| T2 | 78(39.8%) | 82 (49.1%) | |
| T3–4 | 20 (10.2%) | 12 (7.2%) | |
| ALN status | 0.136 | ||
| N0 | 138 (70.4%) | 105 (62.9%) | |
| N1 | 21 (10.7%) | 30 (18.0%) | |
| N2 | 28 (14.3%) | 20 (12.0%) | |
| N3 | 9 (4.6%) | 12 (7.2) | |
| Tumor Grade | 0.000 | ||
| I | 27 (13.8%) | 3 (1.8%) | |
| II | 116 (59.2%) | 48 (28.7%) | |
| III | 53 (27.0%) | 116 (69.5%) | |
| Breast surgery | 0.175 | ||
| Mastectomy | 154(78.6%) | 121 (72.5%) | |
| Lumpectomy | 42 (21.4%) | 46 (27.5%) | |
| Chemotherapy | 0.007 | ||
| Yes | 167 (85.2%) | 157 (94.0%) | |
| No | 29 (14.8%) | 10 (6.0%) | |
| Radiotherapy | 0.361 | ||
| Yes | 88 (44.9%) | 83 (49.7%) | |
| No | 108 (55.1%) | 84 (50.3%) |
Figure 1Disease-free survival and overall survival by Ki-67 expression level
(A) The 3-year DFS was significantly better in low Ki-67 group than in the high Ki-67 group (90.8% vs 78.4% Log-rank p = 0.001) and (B) A poorer 3-year OS was also detected in high Ki-67 group (98.0% vs 90.4% Log-rank p = 0.000).
Multivariate cox regression of DFS
| Univariate | Multivariate | |||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| Tumor size | 0.026 | 0.030 | ||
| T1 | 1.000 | 1.000 | ||
| T2 | 2.292 (1.234, 4.257) | 0.009 | 2.226 (1.206, 4.111) | 0.011 |
| T3–4 | 2.321 (0.972, 5.543) | 0.058 | 2.299 (0.972, 5.437) | 0.058 |
| ALN status | 0.000 | 0.000 | ||
| N0 | 1.000 | 1.000 | ||
| N1 | 2.120 (1.046, 4.298) | 0.037 | 2.084 (1.044, 4.158) | 0.037 |
| N2 | 1.549 (0.657, 3.655) | 0.317 | 1.628 (0.765, 3.463) | 0.206 |
| N3 | 7.332 (2.994, 17.960) | 0.000 | 7.834 (3.589, 17.099) | 0.000 |
| Grade | 0.102 | 0.089 | ||
| I | 1.000 | 1.000 | ||
| II | 2.302 (0.850, 6.335) | 0.101 | 2.378 (0.873, 6.477) | 0.090 |
| III | 1.817 (0.996, 3.313) | 0.052 | 1.847 (1.015, 3.363) | 0.045 |
| Ki-67 | 0.000 | 0.000 | ||
| low | 1.000 | 1.000 | ||
| high | 2.952 (1.623, 5.274) | 0.000 | 2.835 (1.586, 5.068) | 0.000 |
Multivariate cox regression of OS
| Univariate | Multivariate | |||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| Tumor size (cm) | 0.009 | 0.008 | ||
| T1 | 1.000 | 1.000 | ||
| T2 | 4.787 (1.753, 13.074) | 0.002 | 4.855 (1.797, 13.117) | 0.002 |
| T3–4 | 3.508 (0.921, 13.355) | 0.066 | 3.739 (1.081, 12.935) | 0.037 |
| ALN status | 0.000 | 0.000 | ||
| N0 | 1.000 | 1.000 | ||
| N1 | 2.663 (0.998, 7.105) | 0.050 | 2.611 (1.021, 6.675) | 0.045 |
| N2 | 1.734 (0.507, 5.933) | 0.380 | 1.403 (0.484, 4.073) | 0.533 |
| N3 | 13.878 (4.071, 47.310) | 0.000 | 11.104 (4.119, 29.935) | 0.000 |
| Ki-67 | 0.004 | 0.003 | ||
| low | 1.000 | 1.000 | ||
| high | 3.558 (1.488, 8.507) | 0.004 | 3.180 (1.488, 6.793) | 0.003 |
Figure 2The effect of carboplatin treatment on DFS
(A) Subpopulation Treatment Effect Pattern Plot (STEPP) of 3-year Disease-free survival. (B) Disease-free survival in the high Ki-67 (Ki-67 > 40%) group according to carboplatin treatment. (C) Disease-free survival in the low Ki-67 (Ki-67 ≤ 40%) group according to carboplatin treatment. Univariate log-rank test p-values and Hazard Ratios (HR) (carboplatin vs non carboplatin) were reported.