Tripleânegative breast cancer (TNBC) is a lethal subtype of breast cancer with a poor prognosis and limited existing treatment options. The immune checkpoint inhibitor, antiâprogrammed death ligand 1 (PDâL1), has recently emerged as a promising alternative in treating TNBC. PDâL1 is critical in tumor immune evasion and is therefore a key target for cancer immunotherapy. Although antiâPDâL1 therapy is effective in breast cancer based on clinical trials, the relationship between PDâL1 expression levels and treatment response remains unclear. To investigate this, a 4T1 breast cancer cell line that stably overexpressed PDâL1 was established and was used to create a tumor model in mice. Mice were treated with antiâPDâL1 antibodies, and tumor growth was compared between the control and treated groups. PDâL1 overexpressing tumors did not exhibit an antitumor response to antiâPDâL1 therapy compared with the control tumors. Additionally, immune cell infiltration and activation were significantly altered, as shown by immunohistochemical staining and bulk RNA sequencing. In PDâL1âoverexpressing tumors that did not respond to treatment, immune cell markers and antitumor immune pathways were downregulated. These results demonstrated that excessive PDâL1 expression creates an immunosuppressive tumor microenvironment, which impairs the efficacy of antiâPDâL1 therapy. The present study suggests that excessive PDâL1 expression reduces the effectiveness of antitumor immunotherapy, and that PDâL 1 expression levels are essential in predicting the response to antitumor immunotherapy.
Impact of PD‑L1 upregulation on immune checkpoint inhibitor efficacy in triple‑negative breast cancer using a 4T1 murine model
利用4T1小鼠模型研究PD-L1上调对三阴性乳腺癌免疫检查点抑制剂疗效的影响
阅读:1
作者:A Young Park ,Ju Hee Kim ,Sangeun Lee ,Hoe Suk Kim ,Hong Kyu Kim ,Han-Byoel Lee ,Wonshik Han
| 期刊: | International Journal of Oncology | 影响因子: | 4.500 |
| 时间: | 2025 | 起止号: | 2025 Jul;67(1):54. |
| doi: | 10.3892/ijo.2025.5760 | 研究方向: | 肿瘤 |
| 疾病类型: | 乳腺癌 | 信号通路: | Checkpoint |
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。
