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Soluble lymphocyte activation gene-3 (sLAG3) and CD4/CD8 ratio dynamics as predictive biomarkers in patients undergoing immune checkpoint blockade for solid malignancies.
- Source :
-
British journal of cancer [Br J Cancer] 2024 Apr; Vol. 130 (6), pp. 1013-1022. Date of Electronic Publication: 2024 Jan 17. - Publication Year :
- 2024
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Abstract
- Background: The search for biomarkers to identify suitable candidates for immune checkpoint inhibitor (ICI) therapy remains ongoing. We evaluate how soluble levels of the next generation immune checkpoint Lymphocyte Activation Gene-3 (sLAG-3) and its association with circulating T lymphocyte subsets could pose as a novel biomarker to predict outcome to ICI therapy.<br />Methods: Circulating levels of sLAG3 were analyzed using multiplex immunoassay in n = 84 patients undergoing ICI therapy for advanced solid cancer, accompanied by flow cytometry analyses of peripheral blood mononuclear cells (PBMCs).<br />Results: Uni- and multivariate analysis shows that patients with higher sLAG3 concentrations before ICI therapy had a significantly impaired progression-free (PFS) and overall survival (OS) (HR <subscript>PFS</subscript> : 1.005 [95%CI: 1.000-1.009], p = 0.039; HR <subscript>OS</subscript> : 1.006 [95%CI: 1.001-1.011], p = 0.015). The CD4/CD8 cell ratio and its dynamics during therapy were strong predictors of PFS and OS with patients with a decreasing ratio between baseline and after 1-2 cycles having an improved median OS compared to patients with increasing values (p = 0.012, HR: 3.32). An immunological score combining sLAG3 and the CD4/CD8 ratio showed the highest predictive potential (HR <subscript>OS</subscript> : 10.3).<br />Conclusion: Pending prospective validation, sLAG3 and correlating circulating T-cell subsets can be used as a non-invasive predictive marker to predict outcome to ICI therapy to help identifying ideal ICI candidates in the future.<br /> (© 2024. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1532-1827
- Volume :
- 130
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- British journal of cancer
- Publication Type :
- Academic Journal
- Accession number :
- 38233492
- Full Text :
- https://doi.org/10.1038/s41416-023-02558-7