Literature DB >> 32393586

Reporting of Immune Checkpoint Inhibitor Therapy-Associated Diabetes, 2015-2019.

Jiaqing Liu1,2,3,4, Huaqiang Zhou1,2,3, Yaxiong Zhang1,2,3, Wenfeng Fang1,2,3, Yunpeng Yang1,2,3, Yan Huang1,2,3, Li Zhang5,2,3.   

Abstract

Entities:  

Year:  2020        PMID: 32393586      PMCID: PMC7305010          DOI: 10.2337/dc20-0459

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


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Immune checkpoint inhibitors (ICIs), including cytotoxic T cell–associated protein-4 (CTLA-4) inhibitors, programmed cell death protein-1 (PD-1) inhibitors, and programmed death-ligand 1 (PD-L1) inhibitors, have greatly improved the clinical outcomes of cancer patients (1). However, immune-related adverse effects involving various organs, including endocrine organs, can occur during ICI therapy (2). Cases of diabetes associated with ICI therapy have also been reported, which can be life-threatening (3–5). However, the incidence and characteristics of ICI-associated diabetes mellitus (ICI-DM) remain unclear. Therefore, we conducted a retrospective study with data from the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS), a pharmacovigilance database, to investigate this issue (6). We used the FAERS to identify all reported cases of new-onset diabetes that were associated with ICIs approved by the FDA (i.e., ipilimumab, nivolumab, pembrolizumab, atezolizumab, avelumab, durvalumab, and cemiplimab) between 1 January 2015 and 31 December 2019. Patients with new-onset type 1 diabetes, fulminant type 1 diabetes, diabetic ketoacidosis (DKA), or diabetic ketosis secondary to ICI therapy were considered to have ICI-DM. Those with DKA or diabetic ketosis secondary to type 2 diabetes or diabetes without detailed subtypes were excluded. We then used the χ2 test to compare the proportion of ICI-DM cases with all ICI-associated adverse events by year, sex, age, and treatment regimens. We also used a logistic regression analysis to assess the association between therapy and risk of ICI-DM. Ethics review and informed consent were waived in this study because all the analyzed data sets are deidentified and publicly available. We identified 735 cases of ICI-DM in total; 415 case subjects were male. The median age of patients with ICI-DM was 66 years (range 15–95). Melanoma and lung cancer were the most common cancer types among these patients (Table 1). Among the 735 case subjects with ICI-DM, 183 (24.90%) had fulminant type 1 diabetes and 338 (45.99%) presented in DKA or diabetic ketosis. Of cases of ICI-DM, 183 (24.90%) had severe outcomes (life-threatening or death) and 41 (5.58%) resulted in deaths.
Table 1

Characteristics of patients with ICI therapy–associated diabetes

CharacteristicsPatientsSevere outcomes
All735 (100)183 (100)
Sex
 Male415 (56.46)107 (58.47)
 Female262 (35.65)69 (37.70)
 Not specified58 (7.89)7 (3.83)
Age (years)
 <65284 (38.64)79 (43.17)
 ≥65333 (45.31)93 (50.82)
 Not specified118 (16.05)11 (6.01)
Cancer types
 Melanoma248 (33.74)57 (31.14)
 Lung191 (25.99)62 (33.88)
 Renal91 (12.38)21 (11.48)
 Others205 (27.89)43 (23.50)
Reporting year*
 201517 (2.31)9 (4.92)
 201671 (9.66)20 (10.93)
 2017117 (15.92)27 (14.75)
 2018199 (27.07)54 (29.51)
 2019331 (45.04)73 (39.89)
Treatment regimens
 Anti–PD-1 therapy466 (64.40)127 (69.40)
 Anti–PD-L1 therapy34 (4.63)6 (3.28)
 Anti–CTLA-4 therapy16 (2.18)2 (1.09)
 Combination therapy of anti–CTLA-4/anti–PD-1/anti–PD-L1219 (29.79)48 (26.23)

Data are n (%).

Reporting year refers to the year of “latest FDA received date” in the FAERS.

Characteristics of patients with ICI therapy–associated diabetes Data are n (%). Reporting year refers to the year of “latest FDA received date” in the FAERS. Overall, the incidence of ICI-DM was ∼1.27% (735 of 57,683). An obvious and consistent increase in reporting of ICI-DM over time was observed: from 17 in 2015 to 331 in 2019 (Table 1). The proportion of cases of ICI-DM to all reported adverse events associated with ICIs also significantly increased over time, from 0.67% (88 of 13,070) in 2015–2016 to 0.96% (117 of 12,251) in 2017, 1.39% (199 of 14,271) in 2018, and 1.83% (331 of 18,091) in 2019 (χ2 = 93.44, P < 0.0001, Bonferroni corrected). Significant differences were observed in the incidence of ICI-DM by therapy (combination therapy of anti–CTLA-4/anti–PD-1/anti–PD-L1 219 [2.60%] of 8,415 vs. anti–PD-1 therapy 466 [1.18%] of 39,735 vs. anti–PD-L1 therapy 34 [0.73%] of 4,658 vs. anti–CTLA-4 therapy 16 [0.33%] of 4,875; χ2 = 166.92, P < 0.0001, Bonferroni corrected). Patients who received combination therapy of anti–CTLA-4/anti–PD-1/anti–PD-L1 tended to have higher risk of ICI-DM compared with those on other regimens of ICIs, with adjustment for age, sex, cancer type, and reporting year (odds ratio 1.46, 95% CI 1.22–1.74). No significant differences were observed in incidence by sex (male 415 [1.31%] of 31,359 vs. female 262 [1.44%] of 18,143; χ2 = 1.24, P = 0.27), age (<65 years 284 [1.84%] of 15,452 vs. ≥65 years 333 [1.72%] of 19,332; χ2 = 0.66, P = 0.42). To our knowledge, this is the first study to report the incidence of ICI-DM and the relevant clinical outcomes with a large sample size. Our analysis indicated that there was a substantial increase in reporting the incidence of ICI-DM over time. We found that ∼25% of patients with diabetes secondary to ICI therapy had severe outcomes that were either life-threatening or fatal. As ICI therapy has been increasingly applied in cancer patients, it is essential to remind clinicians that ICI-DM is also a potentially life-threatening adverse event of ICI therapy. Therefore, it is suggested that glucose levels be regularly monitored during ICI therapy for cancer patients, especially for patients who received combination therapy of ICIs. In our present study, we were unable to capture all comorbidities and all concomitant therapies in patients with ICI-DM due to data restrictions, but few were reported as receiving concurrent diabetes medications. In addition, other potentially useful clinical data like clinical course, autoantibodies associated with type 1 diabetes, C-peptide, and HLA-DR4 haplotype status could not be included in our present analysis unfortunately. Further studies are needed to confirm our findings and identify the mechanisms and predictors of ICI-DM.
  5 in total

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Authors:  Katrien Clotman; Katleen Janssens; Pol Specenier; Ilse Weets; Christophe E M De Block
Journal:  J Clin Endocrinol Metab       Date:  2018-09-01       Impact factor: 5.958

Review 2.  Immune-Related Adverse Events Associated with Immune Checkpoint Blockade.

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Journal:  N Engl J Med       Date:  2018-01-11       Impact factor: 91.245

Review 3.  Cancer immunotherapy using checkpoint blockade.

Authors:  Antoni Ribas; Jedd D Wolchok
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4.  Increased Reporting of Immune Checkpoint Inhibitor-Associated Diabetes.

Authors:  Jordan J Wright; Joe-Elie Salem; Douglas B Johnson; Bénédicte Lebrun-Vignes; Angeliki Stamatouli; James W Thomas; Kevan C Herold; Javid Moslehi; Alvin C Powers
Journal:  Diabetes Care       Date:  2018-10-10       Impact factor: 19.112

Review 5.  Collateral Damage: Insulin-Dependent Diabetes Induced With Checkpoint Inhibitors.

Authors:  Angeliki M Stamatouli; Zoe Quandt; Ana Luisa Perdigoto; Pamela L Clark; Harriet Kluger; Sarah A Weiss; Scott Gettinger; Mario Sznol; Arabella Young; Robert Rushakoff; James Lee; Jeffrey A Bluestone; Mark Anderson; Kevan C Herold
Journal:  Diabetes       Date:  2018-06-24       Impact factor: 9.461

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Review 2.  When therapeutic drugs lead to diabetes.

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Review 3.  Adult-onset autoimmune diabetes.

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Journal:  Nat Rev Dis Primers       Date:  2022-09-22       Impact factor: 65.038

4.  Immune Checkpoint Inhibitor-related Endocrinopathies.

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5.  Immune Checkpoint Inhibitor-Associated Diabetes: A Single-Institution Experience.

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Journal:  Diabetes Care       Date:  2020-10-13       Impact factor: 19.112

6.  Rare Adverse Events Related to Nivolumab, an Immune Checkpoint Inhibitor: A Case Series.

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7.  Immune checkpoint inhibitor-induced diabetes mellitus with pembrolizumab.

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8.  CANDIED: A Pan-Canadian Cohort of Immune Checkpoint Inhibitor-Induced Insulin-Dependent Diabetes Mellitus.

Authors:  Thiago P Muniz; Daniel V Araujo; Kerry J Savage; Tina Cheng; Moumita Saha; Xinni Song; Sabrina Gill; Jose G Monzon; Debjani Grenier; Sofia Genta; Michael J Allen; Diana P Arteaga; Samuel D Saibil; Marcus O Butler; Anna Spreafico; David Hogg
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Review 9.  Unravelling Checkpoint Inhibitor Associated Autoimmune Diabetes: From Bench to Bedside.

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10.  Pancreatic Adverse Events Associated With Immune Checkpoint Inhibitors: A Large-Scale Pharmacovigilance Analysis.

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