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Immunoglobulin G and Subclasses as Potential Biomarkers in Metastatic Melanoma Patients Starting Checkpoint Inhibitor Treatment

Authors :
Diem, Stefan
Fässler, Mirjam
Bomze, David
Ali, Omar Hasan
Berner, Fiamma
Niederer, Rebekka
Hillmann, Dorothea
Mangana, Joanna
Levesque, Mitchell P.
Dummer, Reinhard
Risch, Lorenz
Recher, Mike
Risch, Martin
Flatz, Lukas
Source :
Journal of Immunotherapy; 20240101, Issue: Preprints
Publication Year :
2024

Abstract

Checkpoint inhibitors have improved survival of metastatic melanoma. However, reliable biomarkers to predict response are still needed. Immunoglobulin G (IgG) antibody subclasses reflect immunocompetence in individuals and are known to be involved in essential functions in our immune system. This prospective study evaluated the association between serum IgG with its subclasses IgG1, IgG2, IgG3, and IgG4 and antitumor response according to RECIST 1.1. Serum samples from 49 patients were prospectively collected before the start of treatment with a checkpoint inhibitor. We observed a statistically significant association of baseline IgG2 with response to therapy (P=0.011). After defining optimal cutpoints, we found significant associations between total IgG (>9.66 g/L, P=0.038), IgG1 (>6.22 g/L, P=0.025), IgG2 (>2.42 g/L, P=0.019), and IgG3 (>0.21 g/L, P=0.034) with progression-free survival. Prolonged overall survival was associated with elevated IgG2 (>2.42 g/L, P=0.043). Together, these findings define total IgG and subclasses as predictors of clinical successful checkpoint inhibition in metastatic melanoma patients.

Details

Language :
English
ISSN :
15249557
Issue :
Preprints
Database :
Supplemental Index
Journal :
Journal of Immunotherapy
Publication Type :
Periodical
Accession number :
ejs48587842
Full Text :
https://doi.org/10.1097/CJI.0000000000000255