Predicting checkpoint inhibitor-associated autoimmune diabetes: prospects and limitations

Checkpoint inhibitor-associated autoimmune diabetes (CIADM) is a life-altering and potentially life-threatening complication of immune checkpoint inhibitor (ICI) treatment in patients with cancer. Risk factors and predictors of this complication remain largely unknown. In this issue of the JCI, Wu et al. examined serum and PBMCs from 14 ICI-treated patients who developed CIADM and 28 matched controls. They identified several variables that were present prior to ICI treatment, including reduced pancreatic volume, islet autoantibodies, and biomarkers indicating immune cell activation, that together are highly predictive of development of CIADM. These findings could have profound clinical implications including treatment decisions, monitoring, and potential future prevention strategies.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Investigation
Published
2026-02-15
DOI
https://doi.org/10.1172/jci202477
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting checkpoint inhibitor-associated autoimmune diabetes: prospects and limitations

Ana Luisa Perdigoto, Kevan C. Herold
Journal of Clinical Investigation
Cancer Immunotherapy and Biomarkers
article

Predicting checkpoint inhibitor-associated autoimmune diabetes: prospects and limitations

Ana Luisa Perdigoto, Kevan C. Herold
article en

Abstract

Checkpoint inhibitor-associated autoimmune diabetes (CIADM) is a life-altering and potentially life-threatening complication of immune checkpoint inhibitor (ICI) treatment in patients with cancer. Risk factors and predictors of this complication remain largely unknown. In this issue of the JCI, Wu et al. examined serum and PBMCs from 14 ICI-treated patients who developed CIADM and 28 matched controls. They identified several variables that were present prior to ICI treatment, including reduced pancreatic volume, islet autoantibodies, and biomarkers indicating immune cell activation, that together are highly predictive of development of CIADM. These findings could have profound clinical implications including treatment decisions, monitoring, and potential future prevention strategies.

Journal of Clinical InvestigationVol. 136(4)
United States Department of Veterans Affairs (US), Yale University (US)
Good health and well-being
Openalex Percentile: Top 55%
Cancer Immunotherapy and Biomarkers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Predicting checkpoint inhibitor-associated autoimmune diabetes: prospects and limitations — Ana Luisa Perdigoto, Kevan C. Herold · Journal of Clinical Investigation (2026) | TGRS Research Map | TGRS