Impact of PD‑L1 upregulation on immune checkpoint inhibitor efficacy in triple‑negative breast cancer using a 4T1 murine model

Triple‑negative breast cancer (TNBC) is a lethal subtype of breast cancer with a poor prognosis and limited existing treatment options. The immune checkpoint inhibitor, anti‑programmed death ligand 1 (PD‑L1), has recently emerged as a promising alternative in treating TNBC. PD‑L1 is critical in tumor immune evasion and is therefore a key target for cancer immunotherapy. Although anti‑PD‑L1 therapy is effective in breast cancer based on clinical trials, the relationship between PD‑L1 expression levels and treatment response remains unclear. To investigate this, a 4T1 breast cancer cell line that stably overexpressed PD‑L1 was established and was used to create a tumor model in mice. Mice were treated with anti‑PD‑L1 antibodies, and tumor growth was compared between the control and treated groups. PD‑L1 overexpressing tumors did not exhibit an antitumor response to anti‑PD‑L1 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 PD‑L1‑overexpressing tumors that did not respond to treatment, immune cell markers and antitumor immune pathways were downregulated. These results demonstrated that excessive PD‑L1 expression creates an immunosuppressive tumor microenvironment, which impairs the efficacy of anti‑PD‑L1 therapy. The present study suggests that excessive PD‑L1 expression reduces the effectiveness of antitumor immunotherapy, and that PD‑L 1 expression levels are essential in predicting the response to antitumor immunotherapy.

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Publication Details

Journal
International Journal of Oncology
Published
2025-06-11
DOI
https://doi.org/10.3892/ijo.2025.5760
Citations
1
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.05

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article

Impact of PD‑L1 upregulation on immune checkpoint inhibitor efficacy in triple‑negative breast cancer using a 4T1 murine model

Wonshik Han, Hoe Kim, A. Park, Sang Eun Lee et al.
1 citations
International Journal of Oncology
Cancer Immunotherapy and Biomarkers
1.05
article

Impact of PD‑L1 upregulation on immune checkpoint inhibitor efficacy in triple‑negative breast cancer using a 4T1 murine model

Wonshik Han, Hoe Kim, A. Park, Sang Eun Lee, Bum‐Joon Kim, Ju Han Kim, Han-Byoel Lee
article en
1 citations

Abstract

Triple‑negative breast cancer (TNBC) is a lethal subtype of breast cancer with a poor prognosis and limited existing treatment options. The immune checkpoint inhibitor, anti‑programmed death ligand 1 (PD‑L1), has recently emerged as a promising alternative in treating TNBC. PD‑L1 is critical in tumor immune evasion and is therefore a key target for cancer immunotherapy. Although anti‑PD‑L1 therapy is effective in breast cancer based on clinical trials, the relationship between PD‑L1 expression levels and treatment response remains unclear. To investigate this, a 4T1 breast cancer cell line that stably overexpressed PD‑L1 was established and was used to create a tumor model in mice. Mice were treated with anti‑PD‑L1 antibodies, and tumor growth was compared between the control and treated groups. PD‑L1 overexpressing tumors did not exhibit an antitumor response to anti‑PD‑L1 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 PD‑L1‑overexpressing tumors that did not respond to treatment, immune cell markers and antitumor immune pathways were downregulated. These results demonstrated that excessive PD‑L1 expression creates an immunosuppressive tumor microenvironment, which impairs the efficacy of anti‑PD‑L1 therapy. The present study suggests that excessive PD‑L1 expression reduces the effectiveness of antitumor immunotherapy, and that PD‑L 1 expression levels are essential in predicting the response to antitumor immunotherapy.

International Journal of OncologyVol. 67(1)
Seoul National University (KR)
National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 21%
Cancer Immunotherapy and Biomarkers
1.05
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