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Optimising anti-PI3Kδ and anti-LAG-3 immunotherapy dosing regimens in a mouse model of triple negative breast cancer improves outcome by removing treatment-related adverse events

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DataCite Commons2026-03-02 更新2026-03-29 收录
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https://research-data.cardiff.ac.uk/articles/dataset/Optimising_anti-PI3K_and_anti-LAG-3_immunotherapy_dosing_regimens_in_a_mouse_model_of_triple_negative_breast_cancer_improves_outcome_by_removing_treatment-related_adverse_events/31055878
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These datasets are linked to cancer immunotherapy research. Current immunotherapies often fail because they generate inadequate T-cell responses or cause immune-related adverse events (irAE), a problem that can be exacerbated by combination treatments; for example, dual targeting of regulatory T cells with a PI3Kδ inhibitor and LAG-3 antibodies achieves strong tumour control in preclinical triple-negative breast cancer models but with unacceptable toxicity. To sustain antitumour immunity while reducing harm, different strategies combining PI-3065 with LAG-3–targeted approaches were tested in mice. Systemic blockade of the LAG-3 ligand FGL1 did not improve efficacy and worsened irAE, whereas local delivery of anti-LAG-3 to the tumour microenvironment improved tumour control with fewer severe adverse events. Most notably, intermittent dosing of the PI3Kδ inhibitor alongside anti-LAG-3 prevented the development of irAE while maintaining excellent tumour control, demonstrating that optimizing delivery and scheduling can markedly improve tolerability and overall treatment success. <br>Data underpinning each of the figures in doi:10.1136/jitc-2025-012157 can be found in the corresponding tab of the attached file, ‘Data files for Lauder et al.xlsx
提供机构:
Cardiff University
创建时间:
2026-01-13
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