Prediction of treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer by analysis of immune checkpoint protein expression.
Prediction of treatment responses to neoadjuvant chemotherapy in triple-negative breast cancer by analysis of immune checkpoint protein expression.
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DOI:
10.1186/s12967-018-1458-y
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发表时间:
2018-04-04
影响因子:
7.4
通讯作者:
Ohira M
中科院分区:
文献类型:
--
作者:
Asano Y;Kashiwagi S;Goto W;Takada K;Takahashi K;Morisaki T;Fujita H;Takashima T;Tomita S;Ohsawa M;Hirakawa K;Ohira M
“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. 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. 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) (p = 0.041) (p < 0.001). In TNBC, patients with high PD-1 and PD-L1 expressions had significantly higher rates of non-pCR (p = 0.003) (p < 0.001). Univariate analysis showed that PD-1 and PD-L1 expressions also significantly shortened disease free survival in TNBC (p = 0.048, HR = 3.318) (p = 0.007, HR = 8.375). However, multivariate analysis found that only PD-L1 expression was an independent prognostic factor (p = 0.041, HR = 9.479). 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. The online version of this article (10.1186/s12967-018-1458-y) contains supplementary material, which is available to authorized users.
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影响因子:
8.4
作者:
Eisenhauer, E. A.;Therasse, P.;Verweij, J.
通讯作者:
Verweij, J.
DOI:
10.1038/nri3405
发表时间:
2013-04
期刊:
Nature reviews. Immunology
影响因子:
--
作者:
通讯作者:
--
影响因子:
11.5
作者:
Konishi, J;Yamazaki, K;Nishimura, M
通讯作者:
Nishimura, M
影响因子:
8.4
作者:
Houssami, Nehmat;Macaskill, Petra;Mamounas, Eleftherios
通讯作者:
Mamounas, Eleftherios
DOI:
10.1073/pnas.192461099
发表时间:
2002-09-17
影响因子:
11.1
作者:
Iwai, Y;Ishida, M;Minato, N
通讯作者:
Minato, N