Pancreatic volume and immune biomarkers predict checkpoint inhibitor–associated autoimmune diabetes in humans

BACKGROUNDCheckpoint inhibitor-associated autoimmune diabetes mellitus (CIADM) is a rare but life-altering complication of immune checkpoint inhibitor (ICI) therapy. Biomarkers that predict type 1 diabetes (T1D) are unreliable for CIADM.AIMIn the present study, we sought to identify biomarkers for the prediction of CIADM.METHODSFrom our prospective biobank, we identified 14 patients with CIADM who had metastatic melanoma treated with anti-programed antibody death 1 (anti-PD-1) with or without anti-cytotoxic T lymphocyte-associated antibody protein 4 (anti-CTLA4). Controls were selected from the same biobank, matched 2:1. Pretreatment, on-ICI, and post-CIADM serum and PBMCs were analyzed. Serum was analyzed for T1D autoantibodies, C-peptide, glucose, and cytokines. PBMCs were profiled using flow cytometry. Pancreatic volume was measured using CT volumetry.RESULTSBefore treatment, patients with CIADM had smaller pancreatic volume (27% reduction, P = 0.044) and higher anti-glutamic acid decarboxylase autoantibody (anti-GAD) titers (median 2.9 vs. 0, P = 0.01). They had significantly higher baseline proportions of Th17 cells (P = 0.03), higher CD4+ central memory cells (P = 0.04), and lower naive CD4+ T cells (P = 0.01). With ICI treatment, greater declines in pancreatic volume were seen in patients with CIADM (P < 0.0001). Activated CD4+ T cell subsets increased significantly in CIADM and controls with immune-related adverse effects (IRAEs) but not in controls without IRAEs. Using only pretreatment results, we found that pancreatic volume, anti-GAD antibody titers, and the baseline immune flow profile were highly predictive of CIADM development, with an AUC of greater than 0.96.CONCLUSIONSPeople who develop CIADM are immunologically predisposed and have antecedent pancreatic and immunological changes that accurately predict disease with excellent sensitivity. These biomarkers could be used to guide ICI use, particularly when planning treatment for low-risk tumors.FUNDINGNational Health and Medical Research Council (NHMRC) Investigator grants 2033228, 2009476, and 2007839.

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Journal
Journal of Clinical Investigation
Published
2025-11-20
DOI
https://doi.org/10.1172/jci192938
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
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article

Pancreatic volume and immune biomarkers predict checkpoint inhibitor–associated autoimmune diabetes in humans

Alexander Maxwell Menzies, Jenny E. Gunton, Nicholas Norris, Christopher Liddle et al.
Journal of Clinical Investigation
Cancer Immunotherapy and Biomarkers
article

Pancreatic volume and immune biomarkers predict checkpoint inhibitor–associated autoimmune diabetes in humans

Alexander Maxwell Menzies, Jenny E. Gunton, Nicholas Norris, Christopher Liddle, John M. Wentworth, Roderick John Clifton-Bligh, Linda Wu, Sarah Christina Sasson, Georgina Venetia Long, David A. Brown, Venessa Tsang, Nicole Fewings, Matteo Salvatore Carlino, Richard A. Scolyer
article en

Abstract

BACKGROUNDCheckpoint inhibitor-associated autoimmune diabetes mellitus (CIADM) is a rare but life-altering complication of immune checkpoint inhibitor (ICI) therapy. Biomarkers that predict type 1 diabetes (T1D) are unreliable for CIADM.AIMIn the present study, we sought to identify biomarkers for the prediction of CIADM.METHODSFrom our prospective biobank, we identified 14 patients with CIADM who had metastatic melanoma treated with anti-programed antibody death 1 (anti-PD-1) with or without anti-cytotoxic T lymphocyte-associated antibody protein 4 (anti-CTLA4). Controls were selected from the same biobank, matched 2:1. Pretreatment, on-ICI, and post-CIADM serum and PBMCs were analyzed. Serum was analyzed for T1D autoantibodies, C-peptide, glucose, and cytokines. PBMCs were profiled using flow cytometry. Pancreatic volume was measured using CT volumetry.RESULTSBefore treatment, patients with CIADM had smaller pancreatic volume (27% reduction, P = 0.044) and higher anti-glutamic acid decarboxylase autoantibody (anti-GAD) titers (median 2.9 vs. 0, P = 0.01). They had significantly higher baseline proportions of Th17 cells (P = 0.03), higher CD4+ central memory cells (P = 0.04), and lower naive CD4+ T cells (P = 0.01). With ICI treatment, greater declines in pancreatic volume were seen in patients with CIADM (P < 0.0001). Activated CD4+ T cell subsets increased significantly in CIADM and controls with immune-related adverse effects (IRAEs) but not in controls without IRAEs. Using only pretreatment results, we found that pancreatic volume, anti-GAD antibody titers, and the baseline immune flow profile were highly predictive of CIADM development, with an AUC of greater than 0.96.CONCLUSIONSPeople who develop CIADM are immunologically predisposed and have antecedent pancreatic and immunological changes that accurately predict disease with excellent sensitivity. These biomarkers could be used to guide ICI use, particularly when planning treatment for low-risk tumors.FUNDINGNational Health and Medical Research Council (NHMRC) Investigator grants 2033228, 2009476, and 2007839.

Journal of Clinical InvestigationVol. 136(4)
The University of Sydney (AU), New South Wales Department of Health (AU), Walter and Eliza Hall Institute of Medical Research (AU), Royal North Shore Hospital (AU), Westmead Hospital (AU), Melanoma Institute Australia (AU), Westmead Institute (AU), Westmead Institute for Medical Research (AU)
Amgen, Bristol-Myers Squibb, Eli Lilly and Company, AstraZeneca, GlaxoSmithKline, Sanofi, Hexal AG, Array BioPharma, Regeneron Pharmaceuticals, Les Laboratories Pierre Fabre, Myriad Genetics, Innovent Biologics, SkylineDx, Eisai, Genesis Pharma, Associação Fundo de Incentivo à Pesquisa, Ipsen, Qbiotics, NeraCare, National Health and Medical Research Council
Openalex Percentile: Top 52%
Cancer Immunotherapy and Biomarkers
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