Cited by 594Cancer Immunotherapy and BiomarkersDiabetes and associated disordersPharmacovigilance and Adverse Drug Reactions

Collateral damage: Insulin-dependent diabetes induced with checkpoint inhibitors

Open access
Stamatouli, Angeliki M., Quandt, Zoe, Perdigoto, Ana Luisa, Clark, Pamela L., Kluger, Harriet, Weiss, Sarah A., Gettinger, Scott, Sznol, Mario +6 more·2018·Diabetes

Abstract

Insulin-dependent diabetes may occur in patients with cancers who are treated with checkpoint inhibitors (CPIs). We reviewed cases occurring over a 6-year period at two academic institutions and identified 27 patients in whom this developed, or an incidence of 0.9%. The patients had a variety of solid-organ cancers, but all had received either anti–PD-1 or anti–PD-L1 antibodies. Diabetes presented with ketoacidosis in 59%, and 42% had evidence of pancreatitis in the peridiagnosis period. Forty percent had at least one positive autoantibody and 21% had two or more. There was a predominance of HLA-DR4, which was present in 76% of patients. Other immune adverse events were seen in 70%, and endocrine adverse events in 44%. We conclude that autoimmune, insulin-dependent diabetes occurs in close to 1% of patients treated with anti–PD-1 or –PD-L1 CPIs. This syndrome has similarities and differences compared with classic type 1 diabetes. The dominance of HLA-DR4 suggests an opportunity to identify those at highest risk of these complications and to discover insights into the mechanisms of this adverse event.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2337/dbi18-0002

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The majority of immune checkpoint inhibitor-related cases of type 1 diabetes occur in people with high-risk HLA-DR4 (present in 76% of individuals), whereas other high-risk HLA alleles are not more common than those in the general population.

    “To date, the majority of immune checkpoint inhibitor -related cases of type 1 diabetes occur in people with high-risk HLA-DR4 (present in 76% of individuals), whereas other high-risk HLA alleles are not more common than those in the general population (67).”
  • Immune checkpoint inhibitor-related type 1 diabetes occurs in just under 1% of checkpoint inhibitor-treated individuals but most commonly occurs with agents that block the programmed cell death protein 1/programmed cell death ligand 1 pathway alone or in combination with other checkpoint inhibitors.

    “This immune-related adverse event occurs in just under 1% of checkpoint inhibitor -treated individuals but most commonly occurs with agents that block the programmed cell death protein 1/programmed cell death ligand 1 pathway alone or in combination with other checkpoint inhibitors (67).”
  • This immune-related adverse event occurs in just under 1% of checkpoint inhibitor-treated individuals but most commonly occurs with agents that block the programmed cell death protein 1/programmed cell death ligand 1 pathway alone or in combination with other checkpoint inhibitors.

    “This immune-related adverse event occurs in just under 1% of checkpoint inhibitortreated individuals but most commonly occurs with agents that block the programmed cell death protein 1/programmed cell death ligand 1 pathway alone or in combination with other checkpoint inhibitors (66).”
  • Profound insulin deficiency associated with immune checkpoint inhibitor use may present with hyperglycemia and diabetic ketoacidosis.

    “A new and emerging issue is the development of profound insulin deficiency associated with the use of immune check-point inhibitors, which may present with hyperglycemia and diabetic ketoacidosis (DKA) (4).”
  • Whether steroid-sparing regimens lower posttransplant diabetes risk remains unclear, with mixed study results.

    “It is still unclear if steroid-sparing regimens decrease the risk of PTDM with studies showing mixed results.1591–1595”

    From American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. (2022) · cites this paper as [1593]

    The Clinical and Biologic Significance section discusses glucocorticoids in checkpoint-inhibitor-induced diabetes, not diabetes after transplantation. Searches for steroid-sparing regimens, PTDM, and posttransplant diabetes found no passage addressing whether those regimens reduce PTDM risk or whether study results are mixed. No page numbers were available in our copy. (LLM, conf=0.75)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 51 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [25]Alzenaidi AA, Dendy J, Rejjal L Autoimmune diabetes presented with diabetic ketoacidosis induced by immunotherapy in an adult with melanoma. J La State Med Soc 2017; 169: 49 28414668

Cited by

Sorted by citations

Authors
Stamatouli, A. M., Quandt, Z., Perdigoto, A. L., Clark, P. L., Kluger, H., Weiss, S. A., Gettinger, S., Sznol, M., Young, A., Rushakoff, R., Lee, J., Bluestone, J. A., Anderson, M., & Herold, K. C.
Affiliations
  • Yale University (US)
  • University of California, San Francisco (US)
Corresponding author
Herold, Kevan C.
Venue
Diabetes
Published
2018-06-24
Volume
67
Issue
8
Pages
1471-1480
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2808896902
Cited by
590
References
51
Citations by year
2026: 41 · 2025: 75 · 2024: 76 · 2023: 90 · 2022: 80 · 2021: 92 · 2020: 69 · 2019: 52 · 2018: 14
FWCI
5.92
Type
journal article
Language
en
Open access
Locations
  • Diabetes (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK057846, UC4 DK116290)
  • Leona M. and Harry B. Helmsley Charitable Trust (2018PG-T1D059)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
Keywords
immune checkpoint inhibitors, type 1 diabetes, anti-PD-1, PD-L1 inhibitors, immune-related adverse events, ketoacidosis, pancreatitis, autoantibodies, HLA-DR4, solid organ cancer, endocrine adverse events
MeSH terms
Antineoplastic Agents, Immunological, Insulin Secretion, Animals, Autoimmune Diseases, Diabetes Mellitus, Type 1, Genotype, Humans, Hypoglycemic Agents, Insulin, Isoantibodies, Ketosis, Neoplasms, Pancreas, Pancreatitis, HLA-DR4 Antigen, Models, Immunological, Genetic Predisposition to Disease, B7-H1 Antigen, Programmed Cell Death 1 Receptor

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review