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Adverse Events of Immune Checkpoint Inhibitors in Cancer Patients with Comorbid Diabetes: A Real-World
Minxia Yang1, Di Qiu2, Minguang Huang3
1Department of Radiology, Shaoxing People's Hospital, Key Laboratory of Functional Molecular Imaging of Tumor and Interventional Diagnosis and Treatment of Shaoxing City, Shaoxing, China.
Abstract:
IntroductionImmune checkpoint inhibitors (ICIs) have redefined cancer therapeutics. However, they may provoke immune-related adverse events (irAEs), with diabetes potentially altering their patterns. We aimed to investigate whether diabetic cancer patients exhibit a distinctive or intensified irAE pattern.MethodsWe performed a real-world, retrospective pharmacovigilance study of ICIs using the FDA Adverse Event Reporting System from 2011 to 2025. Reports listing anti-PD-1 (Nivolumab, Pembrolizumab, Cemiplimab), anti-PD-L1 (Atezolizumab, Avelumab, Durvalumab), and anti-CTLA-4 (Ipilimumab, Tremelimumab) agents as suspected drugs were extracted. Disproportionality signals were identified with 4 algorithms: Bayesian Confidence Propagation Neural Network, Reporting Odds Ratio, Proportional Reporting Ratio, and Multi-item Gamma Poisson Shrinker. Time-to-onset was calculated from therapy start to event date, modelled with Weibull distributions, and compared across subgroups with non-parametric tests.ResultsOf 22,775,812 FAERS reports, 1886 involved ICIs used in cancer patients with comorbid diabetes. 423 (22.4 %) were fatal and 1463 (77.6 %) non-fatal. Men predominated (71.5 %), and 63.0 % of patients were aged 65-85 years. Combination therapy (anti-CTLA-4 plus PD-1 or PD-L1) accounted for the highest death proportion (29.6 %). Disproportionality analysis revealed the strongest preferred-term signals for pneumonitis/interstitial lung disease, hypothyroidism, and colitis among all diabetic cancer patients receiving ICI therapy. At the system-organ-class level, endocrine, hepatobiliary, and blood/lymphatic disorders showed the most consistent risk across agents. Weibull modelling demonstrated an early-failure pattern (shape β < 1) with a median time-to-onset of 126.6 days overall, shortening to 90.9 days with combination therapy. Fatal subgroup occurred sooner than non-fatal subgroup (median 106.7 vs 132.5 days; P = 0.004).ConclusionDiabetic cancer patients experienced the full spectrum of ICI-associated toxicities, with combination treatments linked to greater lethality. Multidisciplinary surveillance during the first 3-4 months of therapy, glycemic control, and long-term follow-up may be essential to optimize benefit and minimize harm in this expanding population.
Insights
Diabetic cancer patients on immune checkpoint inhibitors (ICIs) face a full spectrum of toxicities, with combination therapies increasing lethality. Early multidisciplinary surveillance and glycemic control are crucial for managing these risks.
Area of Science:
- Oncology
- Immunology
- Pharmacovigilance
Background:
- Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment but can cause immune-related adverse events (irAEs).
- The impact of comorbid diabetes on ICI-induced irAE patterns and outcomes remains incompletely understood.
Purpose of the Study:
- To investigate whether diabetic cancer patients exhibit a distinctive or intensified irAE pattern when treated with ICIs.
- To analyze the safety profile and time-to-onset of irAEs in cancer patients with diabetes receiving ICI therapy.
Main Methods:
- A retrospective pharmacovigilance study utilizing the FDA Adverse Event Reporting System (FAERS) from 2011 to 2025.
- Analysis of reports involving anti-PD-1, anti-PD-L1, and anti-CTLA-4 agents in cancer patients with diabetes.
- Disproportionality analyses and Weibull modeling were used to identify safety signals and time-to-onset patterns.
Main Results:
- Among 1886 ICI reports in diabetic cancer patients, 22.4% were fatal; combination therapy showed the highest mortality (29.6%).
- Strongest safety signals included pneumonitis/interstitial lung disease, hypothyroidism, and colitis; endocrine and hepatobiliary disorders were consistently elevated.
- Weibull modeling indicated an early-onset pattern (median 126.6 days), shortening to 90.9 days with combination therapy; fatal events occurred earlier than non-fatal ones.
Conclusions:
- Diabetic cancer patients experience the full range of ICI-associated toxicities, with combination therapies associated with increased lethality.
- Early multidisciplinary surveillance (first 3-4 months), vigilant glycemic control, and long-term follow-up are essential for optimizing outcomes in this population.
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