BACKGROUND: "Avoiding immune destruction" has recently been established as one of the hallmarks of cancer. The programmed cell death (PD)-1/programmed cell death-ligand (PD-L) 1 pathway is an important immunosuppression mechanism that allows cancer cells to escape host immunity. The present study investigated how the expressions of these immune checkpoint proteins affected responses to neo-adjuvant chemotherapy (NAC) in breast cancer. METHODS: A total of 177 patients with resectable early-stage breast cancer were treated with NAC. Estrogen receptor, progesteron receptor, human epidermal growth factor receptor 2, Ki67, PD-L1, PDL-2 and PD-1 status were assessed by immunohistochemistry. RESULTS: There were 37 (20.9%) patients with high PD-1 expression, 42 (23.7%) patients had high PD-L1 expression, and 52 (29.4%) patients had high PD-L2 expression. The patients with high PD-1 and PD-L1 expressions had a significantly higher rate of triple-negative breast cancer (TNBC) (pâ=â0.041) (pâ<â0.001). In TNBC, patients with high PD-1 and PD-L1 expressions had significantly higher rates of non-pCR (pâ=â0.003) (pâ<â0.001). Univariate analysis showed that PD-1 and PD-L1 expressions also significantly shortened disease free survival in TNBC (pâ=â0.048, HRâ=â3.318) (pâ=â0.007, HRâ=â8.375). However, multivariate analysis found that only PD-L1 expression was an independent prognostic factor (pâ=â0.041, HRâ=â9.479). CONCLUSIONS: PD-1 and PD-L1 expressions may be useful as biomarkers to predict treatment responses to NAC in breast cancer. Above all, PD-L1 expression may also be useful as biomarkers for more effective chemotherapy in TNBC.
Prediction of treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer by analysis of immune checkpoint protein expression.
通过分析免疫检查点蛋白表达预测三阴性乳腺癌新辅助化疗的治疗反应
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作者:Asano Yuka, Kashiwagi Shinichiro, Goto Wataru, Takada Koji, Takahashi Katsuyuki, Morisaki Tamami, Fujita Hisakazu, Takashima Tsutomu, Tomita Shuhei, Ohsawa Masahiko, Hirakawa Kosei, Ohira Masaichi
| 期刊: | Journal of Translational Medicine | 影响因子: | 7.500 |
| 时间: | 2018 | 起止号: | 2018 Apr 4; 16(1):87 |
| doi: | 10.1186/s12967-018-1458-y | 研究方向: | 肿瘤 |
| 疾病类型: | 乳腺癌 | 信号通路: | Checkpoint |
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