- 1Department of Bioregulation and Pharmacological Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan
- 2Department of Diabetes, Endocrinology and Metabolism, Tsukuba Medical Center, Ibaraki, Japan
- 3Department of Neurology, Matsumura General Hospital, Fukushima, Japan
Objective: Checkpoint inhibitors (CPIs) can trigger complications related to the autoimmune process such as CPI-triggered diabetes mellitus. The typical treatment for CPI-triggered diabetes is insulin, but a detailed therapeutic method has not yet been established. To prevent severe symptoms and mortality of diabetic ketoacidosis in advanced-stage cancer patients, the establishment of effective treatment of CPI-triggered diabetes, other than insulin therapy, is required.
Methods: We present a case of a 76-year-old man with CPI-triggered diabetes who was treated with nivolumab and ipilimumab for lung cancer. We also conducted a systematic review of 48 case reports of type 1 diabetes associated with nivolumab and ipilimumab therapy before June 2023.
Results: The patient’s hyperglycemia was not sufficiently controlled by insulin therapy, and after the remission of ketoacidosis, the addition of a sodium-glucose transporter (SGLT) 2 inhibitor, dapagliflozin, improved glycemic control. Most of the reported nivolumab/ipilimumab-induced type 1 diabetes was treatable with insulin, but very few cases required additional oral anti-diabetic agents to obtain good glucose control.
Conclusion: Although SGLT2 inhibitors have been reported to have adverse effects on ketoacidosis, recent studies indicate that the occurrence of ketoacidosis is relatively rare. Considering the pathological mechanism of CPI-triggered diabetes, SGLT2 inhibitors could be an effective choice if they are administered while carefully monitoring the patient’s ketoacidosis.
Introduction
The development of checkpoint inhibitors (CPIs) was a major breakthrough for the treatment of various cancers, including advanced-stage cancers that were previously considered untreatable (1, 2). These drugs restore a deficient anti-cancer immune response by blocking cytotoxic T-lymphocyte 4 (CTLA-4) or programmed cell death 1 (PD-1) receptor and its ligand PDL-1 (3–5). The introduction of CPIs was a paradigm shift in cancer treatment. While these new effective treatments are widely used, the number of CPI-triggered adverse events is increasing.
CPI-triggered adverse events tend to target endocrine organs such as hypophysis, thyroid, and insulin-secreting islets(6, 7).
When islets are affected in CPI-triggered adverse events, a patient presents features similar to those of type 1 diabetes(7, 8). CPI-triggered diabetes is rare (approximately 1%) but potentially life-threatening(7, 9–11). Therefore, it requires effective and reliable treatment. In most cases, CPI-triggered diabetes is treated with insulin injections as suggested by the guidelines(12, 13). However, there are no suggestions for the treatment when insulin therapy cannot achieve good glycemic control.
In type 1 diabetes, in addition to insulin therapy, the use of sodium-glucose transporter (SGLT) 2 inhibitors is suggested as an additional treatment in Japan. A recent Dapagliflozin Evaluation in Patients with Inadequately Controlled Type 1 Diabetes (DEPICT) clinical trial showed the beneficial effect of using dapagliflozin in patients with type 1 diabetes inadequately controlled by insulin (14, 15). In 2019, the Japanese Ministry of Health, Labour and Welfare approved dapagliflozin as an oral adjunct treatment to insulin for patients with type 1 diabetes. SGLT2 inhibitors are known to have a low risk of developing ketoacidosis, but the risk is considered to be higher than that of other anti-diabetic agents (16, 17). Because CPI-triggered diabetes may present with ketoacidosis, SGLT2 inhibitors are not considered a treatment option, and insulin treatment is the primary treatment. However, because type 1 diabetes and CPI-triggered diabetes are both insulin-deficient diseases, the addition of SGLT2 inhibitors on top of insulin therapy may provide better glycemic control in CPI-triggered diabetes if they are used with caution.
Here, we report a case of successful glycemic control by adding an SGLT2 inhibitor on top of insulin therapy in a CPI-triggered diabetes patient. The addition of SGLT2 inhibitors on top of insulin therapy significantly improved the glucose level. The results in the present case indicate the possible use of SGLT2 inhibitors for the treatment of CPI-triggered diabetes. In addition, we conducted a systematic review of published case reports. This systematic review aims to provide a comprehensive evaluation of treatment options for CPI-triggered diabetes and shed light on potential therapeutic strategies.
Case report
A 76-year-old Japanese man under treatment of PD-1 inhibitor (nivolumab) and CTLA-4 inhibitor (ipilimumab) for lung cancer, for 3 months, presented with casual blood glucose 574 mg/dL and HbA1c 7.7%. The patient had no history of diabetes, and this marked the initial onset of hyperglycemia. His primary cancer, situated in the left mediastinum, as well as his supraclavicular lymph node metastasis, exhibited signs of regression due to the therapeutic intervention. However, multiple metastatic cancers were observed in both lungs. No hepatic or adrenal metastasis was observed. No ascites or pleural effusion was noted.
The anti-GAD antibody was negative. RBC count was 427 × 104/μL, creatinine level was 1.12 mg/dL, eGFR was 49 mL/min/1.73m2, and potassium level was 5.2 mmoL/L. Other laboratory data are provided in Table 1.
The patient was diagnosed with fulminant type 1 diabetes provoked by the CPIs. His pre-prandial blood glucose levels ranged between 358 and 544 mg/dL, and insulin glargine before bed (0-0-0-6 U) plus insulin (Humulin R) sliding scale therapy was initiated. By the second day of hospitalization, insulin glargine was increased to 8 units (0-0-0-8 U) while the sliding scale therapy was continued, yet there was no significant improvement in pre-prandial blood glucose levels compared to day 1.
By day 3, the sliding scale was discontinued, and regular pre-prandial injection of insulin aspart commenced at a dose of 12-8-10 U, along with an increase in insulin glargine to 12 units (0-0-0-12 U).
On day 4, the dosage of insulin aspart was modified to 12-6-6 U, and insulin glargine was further increased to 16 units (0-0-0-16 U), yet the patient’s pre-prandial glucose levels persisted high (331–435 mg/dL).
Insulin aspart was then increased to 12-6-10 U at day 5 and then to 12-8-12 U at day 6. At day 6, insulin glargine was also increased to 18 units (0-0-0-18 U). However, the patient’s glucose level remained high and was difficult to control (pre-prandial glucose levels being 212–269 mg/dL). Despite the possibility of increasing the basal insulin injection, the patient expressed reservations about dose escalation, and therefore, after checking that the urine ketone bodies were negative, SGLT2 inhibitor, dapagliflozin (5 mg), was added on top of the regular insulin therapy. Following the addition of dapagliflozin, the patient’s blood glucose level stabilized, maintaining pre-prandial blood glucose levels around 135 mg/dL.
Although HbA1c level was recorded at 8.6% upon discharge, it demonstrated gradual improvement over time. Dapagliflozin was continued, and in the 2-month follow-up after discharge, the HbA1c level was 8.3%. The dosage of insulin glargine was reduced to 16 units (0-0-0-16), while the insulin aspart dosage was increased to 18-12-14 U, based on self-monitoring blood glucose (SMBG) results. At the 4-month follow-up, the HbA1c level further decreased to 8.2% with insulin glargine reduced to 10 units (0-0-0-10 U) and insulin aspart reduced to 10-4-8 U. By the 6-month mark, the HbA1c level stabilized at 7.6% with the continued administration of dapagliflozin, insulin aspart (10-8-8 U), and insulin glargine (0-0-0-8 U).
Methods
The English language written case reports published before June 2023 were searched using PubMed with the terms “nivolumab,” “ipilimumab,” “diabetes,” “diabetes mellitus,” and “PD-1 inhibitor.” A total of 48 cases from 41 reports were obtained (18–58). The cases with no history of diabetes and using nivolumab, ipilimumab, or both were extracted. The information, such as age, sex, tumor type, plasma glucose level, HbA1c, islet autoantibodies, and treatment for hyperglycemia, was extracted. All the values are described as medium (IQR: interquartile range). Statistical analysis was conducted using the Mann–Whitney U-test. A p-value of <0.05 was considered as significant difference.
The informed consent was obtained from the patient for the case report.
Results
The patients collected in this systematic review comprised a female/male ratio of 23/25, with an age of 64.5 (49–73.5) years old. Tumor types consisted of melanoma in 37% (18/48), non-small-cell lung cancer in 27% (13/48), renal cell carcinoma in 14% (7/48), and other types in 21% (10/48).
All patients received nivolumab, with 11 patients also receiving ipilimumab. The plasma glucose level for all the patients was 571 (384–743) mg/dL, and the HbA1c level was 7.7 (6.7–8.8) %. The plasma glucose levels between nivolumab-treated patients and nivolumab + ipilimumab-treated patients revealed no significant difference [539 (390–739) mg/dL vs. 603 (355–763) mg/dL, respectively]. However, HbA1c level showed a significantly lower level in nivolumab + ipilimumab-treated patients [8.0 (7.1–9.1) % vs. 6.9 (6.6–7.6) %: p = 0.048]. The serum C-peptide level was not reported in all cases, but 29 cases reported its level, and 14 cases had levels less than 0.1 ng/mL. Glutamate decarboxylase antibody (GADA) was present in 27.8% (10/36) of cases, while islet cell antibody was positive in 14.3% (4/28) of cases.
All patients were treated with insulin injection therapy for hyperglycemia with three patients also receiving additional oral anti-diabetic treatments. The first patient received an additional DPP4 inhibitor treatment (specific drug not described), the second patient received sitagliptin + acarbose, and the third patient received metformin and acarbose. There were no reports of patients receiving SGLT2 inhibitor treatment.
Discussion
The prevalence of adverse events in endocrine organs due to CPIs has been reported to range from 4 to 30% (59, 60). Among these adverse events, CPI-triggered diabetes is exceptionally rare, accounting for less than 1% of cases (7). CPI-triggered diabetes exhibits features characterized by the sudden onset of high blood glucose levels and relatively low HbA1c often accompanied by ketoacidosis (8, 10, 59). Our present case aligns with these features as it demonstrated both a high blood glucose level and relatively low HbA1c.
In animal studies, non-obese diabetic mice showed rapid onset of diabetes by blocking the PD-1 and PD-L1 pathway (61–68).
CPI-triggered diabetes shares common characteristics with type 1 diabetes. Similar to type 1 diabetes, CPI’s adverse effects target insulin-producing pancreatic beta cells, leading to insulin deficiency and subsequent hyperglycemia (8).
Most CPIs that are known to trigger diabetes belong to the PD-1 inhibitors, and as far as we know, there have been no reports of diabetes triggered solely by CTLA-4 inhibitors (8, 12). PD-L1 expression is reported to be increased in type 1 diabetic patients compared to type 2 diabetic patients or healthy controls (20). Interestingly, to date, the expression of CTLA-4 in pancreatic islets has not been reported. This explains why CTLA-4 inhibitors alone do not induce adverse diabetic events. However, combination therapy of PD-1 inhibitor and CTLA-4 inhibitor has been reported to increase the risk of developing diabetes (69), which is consistent with the case in the present report. Although CTLA-4 may not be expressed in pancreatic beta cells, it is considered to play an important role in glucose regulation. This was further confirmed by studies showing that individuals with polymorphism in PD-1 and CTLA-4 genes are more susceptible to autoimmune disorders, including type 1 diabetes (70–74).
CPI-triggered diabetes is similar to type 1 diabetes in that they have a common feature of insulin deficiency. Therefore, as in the case of type 1 diabetes, SGLT2 inhibitors may be potentially useful for the treatment of CPI-triggered diabetes. However, it is important to point out that our present case had moderate renal impairment and SGLT2 inhibitors are not generally recommended to be used in patients with severe renal impairment. Therefore, our present case was carefully taken care for the development of further renal impairment, and our case is not a typical case for using SGLT2 inhibitor and it is a limitation of this report.
The prevalence of ketoacidosis in type 1 diabetes patients is reported as high as 4–6% when SGLT2 inhibitors are used in combination with insulin, although it is rare in type 2 diabetes patients. The FDA adverse event report system found a 7-fold higher risk of acidosis with SGLT2 inhibitors compared to dipeptidyl peptidase 4 inhibitor therapy in type 2 diabetes patients (16, 75–77).
The underlying mechanism of ketoacidosis in patients treated with SGLT2 inhibitors is induced by glucose loss, leading to lipolysis of fat mass and a decrease in the insulin/glucagon ratio (17, 69). This leads to an increase in acetyl-CoA production from fatty acids and β-oxidation, ultimately inducing ketoacid production. The risk of SGLT2 inhibitor-associated ketoacidosis increases when insulin deficiency becomes acutely pronounced or with a sudden restriction of carbohydrate availability (17, 78). In the present case, an SGLT2 inhibitor was administered only after the acute phase of CPI-triggered diabetes was confirmed to be relieved with urine ketone body negative and food intake becoming normal. So far, the present report is the first successful case of using SGLT2 inhibitor in addition to insulin in CPI-triggered diabetes.
Since a high blood glucose level may have a negative effect on cancer treatment, maintaining good glycemic control is important in cancer patients. As we have shown in the present case, with close monitoring and appropriate adjustment, SGLT2 inhibitors may be an effective solution in CPI-triggered diabetes when urine ketone bodies are negative, and long-term glycemic control is not achieved by insulin therapy alone.
Conclusion
In summary, CPIs are widely used for cancer treatment, and as a result, the incidence of CPI-triggered diabetes is on the rise. Insulin therapy is typically considered the best approach for managing CPI-triggered diabetes. However, our present case highlights that when insulin therapy fails to produce the desired effect, the addition of SGLT2 inhibitor can effectively achieve optimal glycemic control. Although SGLT2 inhibitors have been associated with adverse effects on ketoacidosis, recent studies suggest that the occurrence of ketoacidosis is relatively rare. Given the pathological mechanism of CPI-triggered diabetes, SGLT2 inhibitors could represent an effective option provided they are administered with diligent ketoacidosis monitoring.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Ethics statement
Written informed consent was obtained from the participant/patient(s) for the publication of this case report.
Author contributions
MF: Data curation, Formal analysis, Investigation, Resources, Writing – original draft. MS: Formal analysis, Investigation, Resources, Writing – original draft. TO: Data curation, Formal analysis, Writing – review & editing. YM: Conceptualization, Data curation, Investigation, Writing – review & editing. KS: Project administration, Supervision, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that this research was conducted in the absence of any commercial or financial relationship that could construct potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1. Azoury, SC, Straughan, DM, and Shukla, V. Immune checkpoint inhibitors for Cancer therapy: clinical efficacy and safety. Curr Cancer Drug Targets. (2015) 15:452–62. doi: 10.2174/156800961506150805145120
2. Ribas, A, and Wolchok, JD. Cancer immunotherapy using checkpoint blockade. Science. (2018) 359:1350–5. doi: 10.1126/science.aar4060
3. Ribas, A. Releasing the brakes on Cancer immunotherapy. N Engl J Med. (2015) 373:1490–2. doi: 10.1056/NEJMp1510079
4. Ribas, A. Tumor immunotherapy directed at PD-1. N Engl J Med. (2012) 366:2517–9. doi: 10.1056/NEJMe1205943
5. Okazaki, T, and Honjo, T. PD-1 and PD-1 ligands: from discovery to clinical application. Int Immunol. (2007) 19:813–24. doi: 10.1093/intimm/dxm057
6. Byun, DJ, Wolchok, JD, Rosenberg, LM, and Girotra, M. Cancer immunotherapy - immune checkpoint blockade and associated endocrinopathies. Nat Rev Endocrinol. (2017) 13:195–07. doi: 10.1038/nrendo.2016.205
7. Clotman, K, Janssens, K, Specenier, P, Weets, I, and De Block, CEM. Programmed cell Death-1 inhibitor-induced type 1 diabetes mellitus. J Clin Endocrinol Metab. (2018) 103:3144–54. doi: 10.1210/jc.2018-00728
8. Stamatouli, AM, Quandt, Z, Perdigoto, AL, Clark, PL, Kluger, H, Weiss, SA, et al. Collateral damage: insulin-dependent diabetes induced with checkpoint inhibitors. Diabetes. (2018) 67:1471–80. doi: 10.2337/dbi18-0002
9. Akturk, HK, Kahramangil, D, Sarwal, A, Hoffecker, L, Murad, MH, and Michels, AW. Immune checkpoint inhibitor-induced type 1 diabetes: a systematic review and meta-analysis. Diabet Med. (2019) 36:1075–81. doi: 10.1111/dme.14050
10. Tsang, VHM, McGrath, RT, Clifton-Bligh, RJ, Scolyer, RA, Jakrot, V, Guminski, AD, et al. Checkpoint inhibitor-associated autoimmune diabetes is distinct from type 1 diabetes. J Clin Endocrinol Metab. (2019) 104:5499–06. doi: 10.1210/jc.2019-00423
11. Kotwal, A, Haddox, C, Block, M, and Kudva, YC. Immune checkpoint inhibitors: an emerging cause of insulin-dependent diabetes. BMJ Open Diabetes Res Care. (2019) 7:e000591. doi: 10.1136/bmjdrc-2018-000591
12. Haanen, JBAG, Carbonnel, F, Robert, C, Kerr, KM, Peters, S, Larkin, J, et al. ESMO guidelines committee. Management of toxicities from immunotherapy: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. (2017) 28:iv119–42. doi: 10.1093/annonc/mdx225
13. Brahmer, JR, Lacchetti, C, and Thompson, JA. Management of Immune-Related Adverse Events in patients treated with immune checkpoint inhibitor therapy: American Society of Clinical Oncology clinical practice guideline summary. J Oncol Pract. (2018) 14:247–9. doi: 10.1200/JOP.18.00005
14. Dandona, P, Mathieu, C, Phillip, M, Hansen, L, Griffen, SC, et al. DEPICT-1 investigators. Efficacy and safety of dapagliflozin in patients with inadequately controlled type 1 diabetes (DEPICT-1): 24 week results from a multicentre, double-blind, phase 3, randomised controlled trial. Lancet Diabetes Endocrinol. (2017) 5:864–76. doi: 10.1016/S2213-8587(17)30308-X
15. Mathieu, C, Dandona, P, Phillip, M, Oron, T, Lind, M, Hansen, L, et al. DEPICT-1 and DEPICT-2 investigators. Glucose variables in type 1 diabetes studies with dapagliflozin: pooled analysis of continuous glucose monitoring data from DEPICT-1 and -2. Diabetes Care. (2019) 42:1081–7. doi: 10.2337/dc18-1983
16. Blau, JE, Tella, SH, Taylor, SI, and Rother, KI. Ketoacidosis associated with SGLT2 inhibitor treatment: analysis of FAERS data. Diabetes Metab Res Rev. (2017) 33:e2924. doi: 10.1002/dmrr.2924
17. Palmer, BF, and Clegg, DJ. Euglycemic ketoacidosis as a complication of SGLT2 inhibitor therapy. Clin J Am Soc Nephrol. (2021) 16:1284–91. doi: 10.2215/CJN.17621120
18. Ishiguro, A, Ogata, D, Ohashi, K, Hiki, K, Yamakawa, K, Jinnai, S, et al. Type 1 diabetes associated with immune checkpoint inhibitors for malignant melanoma: a case report and review of 8 cases. Medicine (Baltimore). (2022) 101:e30398. doi: 10.1097/MD.0000000000030398
19. Hino, C, Nishino, K, Pham, B, Jeon, WJ, Nguyen, M, and Cao, H. Nivolumab plus ipilimumab induced endocrinopathy and acute interstitial nephritis in metastatic sarcomatoid renal-cell carcinoma: a case report and review of literature. Front Immunol. (2022) 13:993622. doi: 10.3389/fimmu.2022.993622
20. Lin, C, Li, X, Qiu, Y, Chen, Z, and Liu, J. PD-1 inhibitor-associated type 1 diabetes: a case report and systematic review. Front Public Health. (2022) 10:885001. doi: 10.3389/fpubh.2022.885001
21. Boswell, L, Casals, G, Blanco, J, Jiménez, A, Aya, F, de Hollanda, A, et al. Onset of fulminant type 1 diabetes mellitus following hypophysitis after discontinuation of combined immunotherapy a case report. J Diabetes Investig. (2021) 12:2263–6. doi: 10.1111/jdi.13604
22. Yaura, K, Sakurai, K, Niitsuma, S, Sato, R, Takahashi, K, and Arihara, Z. Fulminant type 1 diabetes mellitus developed about half a year after discontinuation of immune checkpoint inhibitor combination therapy with nivolumab and ipilimumab: a case report. Tohoku J Exp Med. (2021) 254:253–6. doi: 10.1620/tjem.254.253
23. Keerty, D, Das, M, Hallanger-Johnson, J, and Haynes, E. Diabetic ketoacidosis: an adverse reaction to immunotherapy. Cureus. (2020) 12:e10632. doi: 10.7759/cureus.10632
24. Singh, V, Chu, Y, Gupta, V, and Zhao, CW. A tale of immune-related adverse events with sequential trials of checkpoint inhibitors in a patient with metastatic renal cell carcinoma. Cureus. (2020) 12:e8395. doi: 10.7759/cureus.8395
25. Zezza, M, Kosinski, C, Mekoguem, C, Marino, L, Chtioui, H, Pitteloud, N, et al. Combined immune checkpoint inhibitor therapy with nivolumab and ipilimumab causing acute-onset type 1 diabetes mellitus following a single administration: two case reports. BMC Endocr Disord. (2019) 19:144. doi: 10.1186/s12902-019-0467-z
26. Omodaka, T, Kiniwa, Y, Sato, Y, Suwa, M, Sato, M, Yamaguchi, T, et al. Type 1 diabetes in a melanoma patient treated with ipilimumab after nivolumab. J Dermatol. (2018) 45:e289–90. doi: 10.1111/1346-8138.14331
27. Shiba, M, Inaba, H, Ariyasu, H, Kawai, S, Inagaki, Y, Matsuno, S, et al. Fulminant type 1 diabetes mellitus accompanied by positive conversion of anti-insulin antibody after the Administration of Anti-CTLA-4 antibody following the discontinuation of anti-PD-1 antibody. Intern Med. (2018) 57:2029–34. doi: 10.2169/internalmedicine.9518-17
28. Changizzadeh, PN, Mukkamalla, SKR, and Armenio, VA. Combined checkpoint inhibitor therapy causing diabetic ketoacidosis in metastatic melanoma. J Immunother Cancer. (2017) 5:97. doi: 10.1186/s40425-017-0303-9
29. Teló, GH, Carvalhal, GF, Cauduro, CGS, Webber, VS, Barrios, CH, and Fay, AP. Fulminant type 1 diabetes caused by dual immune checkpoint blockade in metastatic renal cell carcinoma. Ann Oncol. (2017) 28:191–2. doi: 10.1093/annonc/mdw447
30. Zand Irani, A, Gibbons, H, and Teh, WX. Immune checkpoint inhibitor-induced diabetes mellitus with nivolumab. BMJ Case Rep. (2023) 16:e253696. doi: 10.1136/bcr-2022-253696
31. Yan, J, Xie, ZZ, Moran, T, Gridelli, C, Zheng, MD, and Dai, SJ. Diabetic ketoacidosis induced by nivolumab in invasive mucinous adenocarcinoma of the lung: a case report and review of the literature. Ann Transl Med. (2022) 10:1256. doi: 10.21037/atm-22-5211
32. Bazzi, T, Gupta, E, Mohamed, A, and Vashi, M. A rare case of severe diabetic ketoacidosis in a patient with metastatic renal cell carcinoma being treated with nivolumab. Cureus. (2022) 14:e29537. doi: 10.7759/cureus.29537
33. Seo, JH, Lim, T, Ham, A, Kim, YA, and Lee, M. New-onset type 1 diabetes mellitus as a delayed immune-related event after discontinuation of nivolumab: a case report. Medicine (Baltimore). (2022) 101:e30456. doi: 10.1097/MD.0000000000030456
34. Luo, J, Feng, J, Liu, C, Yang, Z, Zhan, D, Wu, Y, et al. Type 1 diabetes mellitus induced by PD-1 inhibitors in China: a report of two cases. J Int Med Res. (2022) 50:030006052211219. doi: 10.1177/03000605221121940
35. Hatayama, S, Kodama, S, Kawana, Y, Otake, S, Sato, D, Horiuchi, T, et al. Two cases with fulminant type 1 diabetes that developed long after cessation of immune checkpoint inhibitor treatment. J Diabetes Investig. (2022) 13:1458–60. doi: 10.1111/jdi.13807
36. Saleh, AO, Taha, R, Mohamed, SFA, and Bashir, M. Hyperosmolar hyperglycaemic state and diabetic ketoacidosis in nivolumab-induced insulin-dependent diabetes mellitus. Eur J Case Rep Intern Med. (2021) 8:e002756. doi: 10.12890/2021_002756
37. Yun, K, Daniels, G, Gold, K, Mccowen, K, and Patel, SP. Rapid onset type 1 diabetes with anti-PD-1 directed therapy. Oncotarget. (2020) 11:2740–6. doi: 10.18632/oncotarget.27665
38. Miyauchi, M, Toyoda, M, Zhang, J, Hamada, N, Yamawaki, T, Tanaka, J, et al. Nivolumab-induced fulminant type 1 diabetes with precipitous fall in C-peptide level. J Diabetes Investig. (2020) 11:748–9. doi: 10.1111/jdi.13143
39. Yilmaz, M. Nivolumab-induced type 1 diabetes mellitus as an immune-related adverse event. J Oncol Pharm Pract. (2020) 26:236–9. doi: 10.1177/1078155219841116
40. Maekawa, T, Okada, K, Okada, H, Kado, S, Kamiya, K, Komine, M, et al. Case of acute-onset type 1 diabetes induced by long-term immunotherapy with nivolumab in a patient with mucosal melanoma. J Dermatol. (2019) 46:e463–4. doi: 10.1111/1346-8138.15061
41. Hatakeyama, Y, Ohnishi, H, Suda, K, Okamura, K, Shimada, T, and Yoshimura, S. Nivolumab-induced acute-onset type 1 diabetes mellitus as an immune-related adverse event: a case report. J Oncol Pharm Pract. (2019) 25:2023–6. doi: 10.1177/1078155218816777
42. Yamamoto, N, Tsurutani, Y, Katsuragawa, S, Kubo, H, Sunouchi, T, Hirose, R, et al. A patient with nivolumab-related fulminant type 1 diabetes mellitus whose serum C-peptide level was preserved at the initial detection of Hyperglycemia. Intern Med. (2019) 58:2825–30. doi: 10.2169/internalmedicine.2780-19
43. Tassone, F, Colantonio, I, Gamarra, E, Gianotti, L, Baffoni, C, Magro, G, et al. Nivolumab-induced fulminant type 1 diabetes (T1D): the first Italian case report with long follow-up and flash glucose monitoring. Acta Diabetol. (2019) 56:489–90. doi: 10.1007/s00592-018-1246-4
44. Marchand, L, Thivolet, A, Dalle, S, Chikh, K, Reffet, S, Vouillarmet, J, et al. Diabetes mellitus induced by PD-1 and PD-L1 inhibitors: description of pancreatic endocrine and exocrine phenotype. Acta Diabetol. (2019) 56:441–8. doi: 10.1007/s00592-018-1234-8
45. Sakaguchi, C, Ashida, K, Yano, S, Ohe, K, Wada, N, Hasuzawa, N, et al. A case of nivolumab-induced acute-onset type 1 diabetes mellitus in melanoma. Curr Oncol. (2019) 26:e115–8. doi: 10.3747/co.26.4130
46. Venetsanaki, V, Boutis, A, Chrisoulidou, A, and Papakotoulas, P. Diabetes mellitus secondary to treatment with immune checkpoint inhibitors. Curr Oncol. (2019) 26:e111–4. doi: 10.3747/co.26.4151
47. Takahashi, A, Tsutsumida, A, Namikawa, K, and Yamazaki, N. Fulminant type 1 diabetes associated with nivolumab in a patient with metastatic melanoma. Melanoma Res. (2018) 28:159–60. doi: 10.1097/CMR.0000000000000418
48. Capitao, R, Bello, C, Fonseca, R, and Saraiva, C. New onset diabetes after nivolumab treatment. BMJ Case Rep. (2018) 2018:999. doi: 10.1136/bcr-2017-220999
49. Kumagai, R, Muramatsu, A, Nakajima, R, Fujii, M, Kaino, K, Katakura, Y, et al. Acute-onset type 1 diabetes mellitus caused by nivolumab in a patient with advanced pulmonary adenocarcinoma. J Diabetes Investig. (2017) 8:798–9. doi: 10.1111/jdi.12627
50. Gauci, ML, Laly, P, Vidal-Trecan, T, Baroudjian, B, Gottlieb, J, Madjlessi-Ezra, N, et al. Autoimmune diabetes induced by PD-1 inhibitor-retrospective analysis and pathogenesis: a case report and literature review. Cancer Immunol Immunother. (2017) 66:1399–10. doi: 10.1007/s00262-017-2033-8
51. Godwin, JL, Jaggi, S, Sirisena, I, Sharda, P, Rao, AD, Mehra, R, et al. Nivolumab-induced autoimmune diabetes mellitus presenting as diabetic ketoacidosis in a patient with metastatic lung cancer. J Immunother Cancer. (2017) 5:40. doi: 10.1186/s40425-017-0245-2
52. Usui, Y, Udagawa, H, Matsumoto, S, Imai, K, Ohashi, K, Ishibashi, M, et al. Association of Serum Anti-GAD antibody and HLA haplotypes with type 1 diabetes mellitus triggered by nivolumab in patients with non-small cell lung Cancer. J Thorac Oncol. (2017) 12:e41–3. doi: 10.1016/j.jtho.2016.12.015
53. Teramoto, Y, Nakamura, Y, Asami, Y, Imamura, T, Takahira, S, Nemoto, M, et al. Case of type 1 diabetes associated with less-dose nivolumab therapy in a melanoma patient. J Dermatol. (2017) 44:605–6. doi: 10.1111/1346-8138.13486
54. Munakata, W, Ohashi, K, Yamauchi, N, and Tobinai, K. Fulminant type I diabetes mellitus associated with nivolumab in a patient with relapsed classical Hodgkin lymphoma. Int J Hematol. (2017) 105:383–6. doi: 10.1007/s12185-016-2101-4
55. Okamoto, M, Okamoto, M, Gotoh, K, Masaki, T, Ozeki, Y, Ando, H, et al. Fulminant type 1 diabetes mellitus with anti-programmed cell death-1 therapy. J Diabetes Investig. (2016) 7:915–8. doi: 10.1111/jdi.12531
56. Miyoshi, Y, Ogawa, O, and Oyama, Y. Nivolumab, an anti-programmed cell Death-1 antibody, induces fulminant type 1 diabetes. Tohoku J Exp Med. (2016) 239:155–8. doi: 10.1620/tjem.239.155
57. Hughes, J, Vudattu, N, Sznol, M, Gettinger, S, Kluger, H, Lupsa, B, et al. Precipitation of autoimmune diabetes with anti-PD-1 immunotherapy. Diabetes Care. (2015) 38:e55–7. doi: 10.2337/dc14-2349
58. Barroso-Sousa, R, Barry, WT, Garrido-Castro, AC, Hodi, FS, Min, L, Krop, IE, et al. Incidence of endocrine dysfunction following the use of different immune checkpoint inhibitor regimens: a systematic review and Meta-analysis. JAMA Oncol. (2018) 4:173–82. doi: 10.1001/jamaoncol.2017.3064
59. Sznol, M, Postow, MA, Davies, MJ, Pavlick, AC, Plimack, ER, Shaheen, M, et al. Endocrine-related adverse events associated with immune checkpoint blockade and expert insights on their management. Cancer Treat Rev. (2017) 58:70–6. doi: 10.1016/j.ctrv.2017.06.002
60. Perdigoto, AL, Deng, S, Du, KC, Kuchroo, M, Burkhardt, DB, Tong, A, et al. Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor-induced diabetes. JCI Insight. (2022) 7:e156330. doi: 10.1172/jci.insight.156330
61. Keir, ME, Liang, SC, Guleria, I, Latchman, YE, Qipo, A, Albacker, LA, et al. Tissue expression of PD-L1 mediates peripheral T cell tolerance. J Exp Med. (2006) 203:883–95. doi: 10.1084/jem.20051776
62. Wang, J, Yoshida, T, Nakaki, F, Hiai, H, Okazaki, T, and Honjo, T. Establishment of NOD-Pdcd1−/− mice as an efficient animal model of type I diabetes. Proc Natl Acad Sci U S A. (2005) 102:11823–8. doi: 10.1073/pnas.0505497102
63. Won, TJ, Jung, YJ, Kwon, SJ, Lee, YJ, Lee, DI, Min, H, et al. Forced expression of programmed death-1 gene on T cell decreased the incidence of type 1 diabetes. Arch Pharm Res. (2010) 33:1825–33. doi: 10.1007/s12272-010-1115-3
64. Wang, CJ, Chou, FC, Chu, CH, Wu, JC, Lin, SH, Chang, DM, et al. Protective role of programmed death 1 ligand 1 (PD-L1)in nonobese diabetic mice: the paradox in transgenic models. Diabetes. (2008) 57:1861–9. doi: 10.2337/db07-1260
65. El Khatib, MM, Sakuma, T, Tonne, JM, Mohamed, MS, Holditch, SJ, Lu, B, et al. β-Cell-targeted blockage of PD1 and CTLA4 pathways prevents development of autoimmune diabetes and acute allogeneic islets rejection. Gene Ther. (2015) 22:430–8. doi: 10.1038/gt.2015.18
66. Ansari, MJ, Salama, AD, Chitnis, T, Smith, RN, Yagita, H, Akiba, H, et al. The programmed death-1 (PD-1) pathway regulates autoimmune diabetes in nonobese diabetic (NOD) mice. J Exp Med. (2003) 198:63–9. doi: 10.1084/jem.20022125
67. Kochupurakkal, NM, Kruger, AJ, Tripathi, S, Zhu, B, Adams, LT, Rainbow, DB, et al. Blockade of the programmed death-1 (PD1) pathway undermines potent genetic protection from type 1 diabetes. PLoS One. (2014) 9:e89561. doi: 10.1371/journal.pone.0089561
68. Osum, KC, Burrack, AL, Martinov, T, Sahli, NL, Mitchell, JS, Tucker, CG, et al. Interferon-gamma drives programmed death-ligand 1 expression on islet β cells to limit T cell function during autoimmune diabetes. Sci Rep. (2018) 8:8295. doi: 10.1038/s41598-018-26471-9
69. Kavvoura, FK, and Ioannidis, JP. CTLA-4 gene polymorphisms and susceptibility to type 1 diabetes mellitus: a HuGE review and meta-analysis. Am J Epidemiol. (2005) 162:3–16. doi: 10.1093/aje/kwi165
70. Blomhoff, A, Lie, BA, Myhre, AG, Kemp, EH, Weetman, AP, Akselsen, HE, et al. Polymorphisms in the cytotoxic T lymphocyte antigen-4 gene region confer susceptibility to Addison's disease. J Clin Endocrinol Metab. (2004) 89:3474–6. doi: 10.1210/jc.2003-031854
71. Ueda, H, Howson, JM, Esposito, L, Heward, J, Snook, H, Chamberlain, G, et al. Association of the T-cell regulatory gene CTLA4 with susceptibility to autoimmune disease. Nature. (2003) 423:506–11. doi: 10.1038/nature01621
72. Ni, R, Ihara, K, Miyako, K, Kuromaru, R, Inuo, M, Kohno, H, et al. PD-1 gene haplotype is associated with the development of type 1 diabetes mellitus in Japanese children. Hum Genet. (2007) 121:223–32. doi: 10.1007/s00439-006-0309-8
73. Gu, Y, Xiao, L, Gu, W, Chen, S, Feng, Y, Wang, J, et al. Rs2227982 and rs2227981 in PDCD1 gene are functional SNPs associated with T1D risk in east Asian. Acta Diabetol. (2018) 55:813–9. doi: 10.1007/s00592-018-1152-9
74. Nielsen, C, Hansen, D, Husby, S, Jacobsen, BB, and Lillevang, ST. Association of a putative regulatory polymorphism in the PD-1 gene with susceptibility to type 1 diabetes. Tissue Antigens. (2003) 62:492–7. doi: 10.1046/j.1399-0039.2003.00136.x
75. Bonora, BM, Avogaro, A, and Fadini, GP. Sodium-glucose co-transporter-2 inhibitors and diabetic ketoacidosis: an updated review of the literature. Diabetes Obes Metab. (2018) 20:25–33. doi: 10.1111/dom.13012
76. Peters, AL, Henry, RR, Thakkar, P, Tong, C, and Alba, M. Diabetic ketoacidosis with canagliflozin, a sodium-glucose cotransporter 2 inhibitor, in patients with type 1 diabetes. Diabetes Care. (2016) 39:532–8. doi: 10.2337/dc15-1995
77. Dandona, P, Mathieu, C, Phillip, M, Hansen, L, Tschöpe, D, Thorén, F, et al. Efficacy and safety of dapagliflozin in patients with inadequately controlled type 1 diabetes: the DEPICT-1 52-week study. Diabetes Care. (2018) 41:2552–9. doi: 10.2337/dc18-1087
Keywords: nivolumab, ipilimumab, diabetes, SGLT2 inhibitor, insulin
Citation: Fujiwara M, Shimizu M, Okano T, Maejima Y and Shimomura K (2023) Successful treatment of nivolumab and ipilimumab triggered type 1 diabetes by using sodium-glucose transporter 2 inhibitor: a case report and systematic review. Front. Public Health. 11:1264056. doi: 10.3389/fpubh.2023.1264056
Edited by:
Braulio Marfil-Garza, University of Alberta, CanadaReviewed by:
Parag Garhyan, Eli Lilly (United States), United StatesPunith Kempegowda, University of Birmingham, United Kingdom
Copyright © 2023 Fujiwara, Shimizu, Okano, Maejima and Shimomura. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Kenju Shimomura, shimomur@fmu.ac.jp