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Dual immune checkpoint inhibitor therapy significantly increases risk of developing Type 1 Diabetes MellitusDual immune checkpoint inhibitor therapy increases risk of type 1 diabetes

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Key Takeaway
Note that dual immune checkpoint inhibitor therapy significantly increases the risk of developing Type 1 Diabetes Mellitus.

This meta-analysis evaluated the incidence of immune checkpoint inhibitor-induced Type 1 Diabetes Mellitus (ICI-T1DM) in 65,925 adult cancer patients. The study compared dual immune checkpoint inhibitor therapy against monotherapy to determine the risk of developing T1DM. The analysis found an ICI-T1DM incidence of 0.58% (95% CI 0.35-0.92%).

Key findings indicate that dual therapy is associated with a significantly increased risk of ICI-T1DM compared to monotherapy. Among those who developed the condition, approximately 37% experienced diabetic ketoacidosis (DKA). Notably, the presence of pre-existing diabetes was not significantly associated with the development of new-onset ICI-T1DM.

Several limitations were noted, including limited prognostic data for mortality and overall survival, and discordant findings in studies regarding those outcomes. The authors also noted a substantial risk of immortal time bias in mortality and survival data. These findings suggest a need for routine glucose monitoring during ICI therapy, especially with combination regimens, and potential pre-treatment islet autoantibody testing for high-risk patients.

How this fits prior evidence

This meta-analysis addresses a gap in understanding the specific risks of combination therapies in oncology. While prior evidence noted that metabolic parameters like MTV and TLG are associated with inferior survival outcomes in NSCLC patients treated with ICIs, this study specifically quantifies the risk of ICI-T1DM. It confirms that dual therapy significantly increases the risk of ICI-T1DM compared to monotherapy, providing a specific safety profile for combination regimens.

When patients undergo treatment for cancer, they often face a complex balance of managing side effects while fighting the disease. New data shows that certain types of immunotherapy, specifically dual immune checkpoint inhibitor therapy, are linked to a higher risk of developing type 1 diabetes compared to using a single therapy.

Researchers looked at data from over 65,000 adult cancer patients. They found that while the overall incidence of type 1 diabetes was about 0.58 percent, the risk was significantly higher for those on combination treatments. Additionally, about 37 percent of those who developed the condition also experienced diabetic ketoacidosis, a serious and dangerous state of high blood acid in the body.

While the study shows a clear link between dual therapy and diabetes, the data on how this affects long-term survival is still limited and inconsistent. Because of these risks, doctors suggest routine blood sugar monitoring for patients on combination therapies. They may also consider testing for specific antibodies before treatment starts to identify patients at higher risk.

What this means for you:
Dual immune checkpoint inhibitor therapy significantly increases the risk of developing type 1 diabetes in cancer patients.

Common questions

Is it safe to use dual immune checkpoint inhibitors?

While these treatments are used to fight cancer, they carry a specific risk. Patients on dual therapy have a significantly higher risk of developing type 1 diabetes compared to those on monotherapy. Because of this, doctors recommend regular blood sugar monitoring for patients receiving combination regimens to manage potential risks.

What are the risks of developing diabetes during cancer treatment?

Patients who develop type 1 diabetes during treatment may also experience diabetic ketoacidosis, which occurred in about 37 percent of cases. This is a serious condition that requires medical attention. Doctors may use pre-treatment testing to identify patients who might be at higher risk for these complications.

Does having pre-existing diabetes affect the risk of new cases?

The study found that having pre-existing diabetes was not significantly associated with the risk of developing new cases of type 1 diabetes during treatment. However, the risk remains specifically higher for those receiving dual therapy rather than single-drug therapy.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
Immune checkpoint inhibitor-induced type 1 diabetes mellitus (ICI-T1DM) is a rare but potentially life-threatening endocrine immune-related adverse event. However, data on its incidence, risk factors, and prognostic implications remain limited. We conducted a systematic review and meta-analysis of studies published since January 2020 that reported ICI-T1DM in adult cancer patients treated with immune checkpoint inhibitors (ICIs). Pooled proportions were estimated for ICI-T1DM incidence and diabetic ketoacidosis (DKA) occurrence. Odds ratios (ORs) and hazard ratios (HRs) were pooled to evaluate the association of dual versus monotherapy ICI exposure and pre-existing diabetes mellitus with the risk of developing ICI-T1DM and prognostic outcomes. Risk of bias was assessed using validated design-specific tools. Ten studies involving 65,925 ICI-treated patients were included. The pooled incidence of ICI-T1DM was 0.58% (95% CI 0.35-0.92%), while approximately 37% of patients presented with DKA. Dual ICI therapy significantly increased the risk of ICI-T1DM compared with monotherapy. Pre-existing diabetes mellitus was not significantly associated with the risk of developing ICI-T1DM. Available prognostic data for mortality and overall survival in patients who developed ICI-T1DM were limited to two studies with discordant findings and a substantial risk of immortal time bias, precluding meaningful quantitative synthesis. These findings support routine glucose monitoring during ICI therapy, particularly for patients receiving combination regimens. The potential role of pre-treatment islet autoantibody testing in selected high-risk patients warrants prospective evaluation.
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