p53 downregulates PD-L1 expression via miR-34a to inhibit the growth of triple-negative breast cancer cells: a potential clinical immunotherapeutic target

p53 通过 miR-34a 下调 PD-L1 表达以抑制三阴性乳腺癌细胞的生长:潜在的临床免疫治疗靶点

阅读:8
作者:Siyu Deng, Mengna Wang, Chenglong Wang, Yan Zeng, Xue Qin, Yiwen Tan, Bing Liang, Youde Cao

Background

Compared with other breast cancer subtypes, triple-negative breast cancer (TNBC) has poorer responses to therapy and lower overall survival rates. The use of an inhibitor of immune checkpoint programmed cell death ligand 1 (PD-L1) is a promising treatment strategy and is approved for malignant tumors, especially for TNBC. p53 regulates various biological processes, but the association between p53 and immune evasion remains unknown. miR-34a is a known tumor suppressor and p53-regulated miRNA that is downregulated in several cancers; however, it has not been reported in TNBC. Herein, we aimed to explore the regulatory signaling axis among p53, miR-34a and PD-L1 in TNBC cells in vivo and in tissue and to improve our understanding of immunotherapy for TNBC.

Conclusion

Our research may provide a novel potential target for TNBC.

Results

p53-EGFP, p53-siRNA and miR-34a mimics were transfected into TNBC cell lines, and the interaction between miR-34a and PD-L1 was analyzed via dual-luciferase reporter assays. We found that p53 could inhibit the expression of PD-L1 via miR-34a and that miR-34a could inhibit both cell activity and migration and promoted apoptosis and cytotoxicity in TNBC. Furthermore, miR-34a agomir was injected into MDA-MB-231 tumors of nude mice. The results showed that miR-34a could inhibit tumor growth and downregulate the expression of PD-L1 in vivo. A total of 133 TNBC tissue samples were analyzed by immunochemistry; the proportion of positive expression of PD-L1 was 57.14% (76/133), and the proportion of samples with negative expression of PD-L1 was 42.86% (57/133).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。