Published online May 24, 2024. doi: 10.5306/wjco.v15.i5.576
Revised: February 25, 2024
Accepted: April 8, 2024
Published online: May 24, 2024
Processing time: 172 Days and 22.2 Hours
Immune checkpoint inhibitors (and more specifically programmed cell death 1/programmed cell death ligand 1 inhibitors as Pembrolizumab) initiated a revolution in the field of melanoma and have now expanded to several tumor subtypes and in increasingly broader clinical contexts, including the adjuvant and neoadjuvant setting, with potentially curable patients and prolonged survival. The side effects related to these drugs include a wide spectrum of manifestations, with endocrinological adverse events being some of the most frequent. Pembrolizumab-induced type 1 diabetes mellitus is an infrequent but potentially serious and not clearly reversible side effect that possesses characteristic clinical features and has high morbidity and mortality, with a chronic impact on quality of life. The etiopathogenesis of this phenomenom needs to be further investigated and a collaborative effort through the involvement of oncologists and other medical specialists is necessary for the correct identification and management of patients at risk.
Core Tip: Pembrolizumab-induced type 1 diabetes mellitus is a rare and potentially serious adverse event of immunotherapy, with a significant number of cases debuting abruptly and in a state of diabetic ketoacidosis without clear predisposing factors. Further research and strict follow-up by oncologists are fundamental tools for prevention and early treatment focusing on reducing the morbidity and mortality associated with this side effect.
- Citation: Garcia JA, Alcaraz D, Holgado E, Couñago F. Pembrolizumab autoimmune related diabetes: Moving forward, keep learning. World J Clin Oncol 2024; 15(5): 576-579
- URL: https://www.wjgnet.com/2218-4333/full/v15/i5/576.htm
- DOI: https://dx.doi.org/10.5306/wjco.v15.i5.576
The study published by Bhanderi et al[1] in 2023 presents a case report of an oncologic patient on immunotherapy who debuts in a state of rapidly developing diabetic ketoacidosis with low HbA1c levels suggestive of autoimmune diabetes mellitus 1 (DM1) with negative autoantibody studies, which differs from the clinical presentation of classic DM1. This publication suggests that the identification of patients at risk from a genotypic point of view remains unclear based on current literature, highlighting the need for future research to define prognostic biomarkers that may help in the mana
Immune checkpoint inhibitors (ICI) are currently a standard in daily practice. In the last ten years we have witnessed a revolution that has changed the treatment paradigm for many solid tumors, initiated in 2011 with the Food and Drug Administration (FDA) approval of Ipilimumab (anti-CTLA4) and continued further with the approvals in 2014 of the anti-programmed cell death 1 (PD1)/programmed cell death ligand 1 (PDL1) drugs (Pembrolizumab, Nivolumab). Since the FDA approval in 2014 of Pembrolizumab for advanced melanoma, its use has expanded to more than 20 treatment indications in different solid tumors in 2023, consolidating its position as one of the standard treatments in monotherapy or combined with other drugs, in both disseminated and localized disease (adjuvant and/or neoadjuvant setting)[2,3]. The adverse effect profile of immunotherapy has changed the perspective established by conventional chemotherapy treatments and poses a clinical challenge. In this context endocrinological toxicities are frequent and probably under-diagnosed. Pembrolizumab-induced DM1 is a rare and potentially serious adverse event described in the literature that can have relevant consequences in terms of quality of life.
PD1 inhibitors are associated with approximately 95% of cases of ICI-induced DM1, although incidence is < 1%[4-6]. Pathogenically, it is caused by destruction of insulin-producing pancreatic beta cells, with reports suggesting a deeper and more rapid destruction than in classic DM1. It is unresponsive to corticosteroids and hardly reversible when estab
It is because of the high risk of morbidity and mortality that it is important for physicians to be aware of this situation and act accordingly in an early manner[8]. In this context, the European Society for Medical Oncology recommends the monitorization of blood glucose in patients receiving (ICI)[11], while the American Society of Clinical Oncology guide
Since the publication of the first cases of Pembrolizumab-induced DM1 in 2015 we have witnessed a marked increase in reported cases, with > 90 in recent years[13,14]. In our opinion, the growing interest in this field and the efforts of clinicians and researchers should aim towards a stricter follow-up and a better identification of patients with immune-mediated adverse events. However, which group of patients at risk could benefit from a stricter follow-up remains unclear. The work of Magis et al[15] in 2018 shows us a prospective study based on the glycemic follow-up of 163 patients under anti-PD1 with a median follow-up of 5.6 months. This study shows the low incidence of this adverse effect (only three patients developed diabetes mellitus with anti-PD1 plus two additional patients in a parallel study with anti-PD1 vs Ipilimumab) and also evidences that, in all cases, glycemia prior to treatment was normal, reflecting that glycemia monitoring during treatment may not be sufficient to anticipate this phenomenon. This publication also suggests the potential role of human leukocyte antigen (HLA) determination given that four of the five affected patients were DRB01 03 or 04, (which are known to increase the risk of type 1 diabetes in the general population), noting the role of risk haplotyping to aid in the comprehensive follow-up of these patients. In 2019, Tsang et al[16] conducted a retrospective study of 538 melanoma patients treated with anti-PD1 (Pembrolizumab monotherapy and Ipilimumab-Nivolumab combination) over a 3-year period, with ten patients (1.9%) developing potentially immunotherapy-induced diabetes mellitus with Pembrolizumab (six patients) or the combination therapy (four patients). In the ten affected patients a DM1-associated autoantibody test (including anti-glutamic acid decarboxylase antibody, anti-insulin antibody, islet antigen 2 antibody and zinc transporter 8 antibody) was performed, with GADA (20%) being the only positive result in two patients. In addition, HLA typing was performed on the ten affected patients showing that three patients expressed high-risk HLA haplotypes (two patients had DRB104-DQB103:02-DQA103:01, one patient had DRB103:01-DQB102:01-DQA105:01) , while three patients had an HLA haplotype previously associated with protection against DM1 (one had DRB107:01-DQB103:03-DQA102:01, one had DRB13:01, and one had DRB111-DQB103:01-DQA105:01). This publication concludes that the absence of autoantibodies and lack of clear association with high-risk HLA typing might suggest an entity with its own characteristics. The work of Wu et al[17] in 2021 is consistent with the data presented previously and again shows the genetic variability in DM1 cases associated with ICI, including a review of 200 patients of whom 10% had protective haplotypes. This suggests that the association with risk HLA haplotypes appears to be weaker than in DM1 cases and that other factors may be at play, although it appears that the presence of these protective haplotypes was associated with a delayed onset (18 vs 9 wk). To note, other authors (Akturk et al[18], Clotman et al[19]) have reported contradictory results regarding the role of autoimmunity and HLA typing in this under-represented population.
In light of these results and given the low incidence in the published case series, it is difficult to establish with certainty which predisposing factors and the mechanisms are involved. This makes early identification difficult considering that glycemia monitoring as an isolated tool may not be enough. These uncertainties reinforce the idea that joint and collaborative efforts are necessary to understand these mechanisms, correctly identify patients at risk and develop tools that allow for effective follow-up to be established in order to reduce the risk of serious side effects.
AntiPD1-PDL1 drugs represent a widely used treatment in oncology, with a different profile of adverse events compared to conventional chemotherapy. DM1 is a rare and potentially serious side effect, with a variable development time and different clinical presentations. The identification of patients at risk remains unclear and more collaborative research is needed due to the small number of subjects affected. According to the main clinical practice guidelines in the world, thorough surveillance by treating oncologists is necessary for early management to help reduce morbidity and mortality, as well as the participation of other medical specialists for an integral management of affected patients.
I would like to thank Dr. Diego Alcaraz, Dr. Esther Holgado and Dr. Felipe Couñago for their collaboration and active participation in this project.
Provenance and peer review: Invited article; Externally peer reviewed.
Peer-review model: Single blind
Specialty type: Oncology
Country/Territory of origin: Spain
Peer-review report’s classification
Scientific Quality: Grade B, Grade B
Novelty: Grade B, Grade B
Creativity or Innovation: Grade B, Grade B
Scientific Significance: Grade A, Grade B
P-Reviewer: Al-Hadhrami R, Oman; Mao RF, China S-Editor: Li L L-Editor: A P-Editor: Zhao YQ
1. | Bhanderi H, Khalid F, Bodla ZH, Muhammad T, Du D, Meghal T. Autoimmune diabetes from pembrolizumab: A case report and review of literature. World J Clin Oncol. 2023;14:535-543. [PubMed] [DOI] [Cited in This Article: ] [Reference Citation Analysis (1)] |
2. | Stewart J. Keytruda FDA approval history. Jan 16, 2024. [cited 3 April 2024]. Available from: https://www.drugs.com/history/keytruda.html. [Cited in This Article: ] |
3. | Merck Sharp & Dohme B. V. Keytruda 25 mg/mL. EPAR product information. Oct 31, 2023. [cited 3 April 2024]. Available from: https://www.ema.europa.eu/en/documents/product-information/keytruda-epar-product-information_en.pdf. [Cited in This Article: ] |
4. | Wright JJ, Powers AC, Johnson DB. Endocrine toxicities of immune checkpoint inhibitors. Nat Rev Endocrinol. 2021;17:389-399. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 76] [Cited by in F6Publishing: 179] [Article Influence: 59.7] [Reference Citation Analysis (0)] |
5. | Quandt Z, Young A, Anderson M. Immune checkpoint inhibitor diabetes mellitus: a novel form of autoimmune diabetes. Clin Exp Immunol. 2020;200:131-140. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 99] [Cited by in F6Publishing: 103] [Article Influence: 25.8] [Reference Citation Analysis (0)] |
6. | Stamatouli AM, Quandt Z, Perdigoto AL, Clark PL, Kluger H, Weiss SA, Gettinger S, Sznol M, Young A, Rushakoff R, Lee J, Bluestone JA, Anderson M, Herold KC. Collateral Damage: Insulin-Dependent Diabetes Induced With Checkpoint Inhibitors. Diabetes. 2018;67:1471-1480. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 285] [Cited by in F6Publishing: 367] [Article Influence: 61.2] [Reference Citation Analysis (0)] |
7. | Yoneda S, Imagawa A, Hosokawa Y, Baden MY, Kimura T, Uno S, Fukui K, Goto K, Uemura M, Eguchi H, Iwahashi H, Kozawa J, Shimomura I. T-Lymphocyte Infiltration to Islets in the Pancreas of a Patient Who Developed Type 1 Diabetes After Administration of Immune Checkpoint Inhibitors. Diabetes Care. 2019;42:e116-e118. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 48] [Cited by in F6Publishing: 51] [Article Influence: 10.2] [Reference Citation Analysis (0)] |
8. | Gauci ML, Laly P, Vidal-Trecan T, Baroudjian B, Gottlieb J, Madjlessi-Ezra N, Da Meda L, Madelaine-Chambrin I, Bagot M, Basset-Seguin N, Pages C, Mourah S, Boudou P, Lebbé C, Gautier JF. Autoimmune diabetes induced by PD-1 inhibitor-retrospective analysis and pathogenesis: a case report and literature review. Cancer Immunol Immunother. 2017;66:1399-1410. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 96] [Cited by in F6Publishing: 99] [Article Influence: 14.1] [Reference Citation Analysis (0)] |
9. | Wright JJ, Salem JE, Johnson DB, Lebrun-Vignes B, Stamatouli A, Thomas JW, Herold KC, Moslehi J, Powers AC. Increased Reporting of Immune Checkpoint Inhibitor-Associated Diabetes. Diabetes Care. 2018;41:e150-e151. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 54] [Cited by in F6Publishing: 81] [Article Influence: 13.5] [Reference Citation Analysis (0)] |
10. | Zand Irani A, Almuwais A, Gibbons H. Immune checkpoint inhibitor-induced diabetes mellitus with pembrolizumab. BMJ Case Rep. 2022;15. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis (0)] |
11. | Haanen JBAG, Carbonnel F, Robert C, Kerr KM, Peters S, Larkin J, Jordan K; ESMO Guidelines Committee. Management of toxicities from immunotherapy: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017;28:iv119-iv142. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1607] [Cited by in F6Publishing: 1441] [Article Influence: 205.9] [Reference Citation Analysis (1)] |
12. | Brahmer JR, Lacchetti C, Schneider BJ, Atkins MB, Brassil KJ, Caterino JM, Chau I, Ernstoff MS, Gardner JM, Ginex P, Hallmeyer S, Holter Chakrabarty J, Leighl NB, Mammen JS, McDermott DF, Naing A, Nastoupil LJ, Phillips T, Porter LD, Puzanov I, Reichner CA, Santomasso BD, Seigel C, Spira A, Suarez-Almazor ME, Wang Y, Weber JS, Wolchok JD, Thompson JA; National Comprehensive Cancer Network. Management of Immune-Related Adverse Events in Patients Treated With Immune Checkpoint Inhibitor Therapy: American Society of Clinical Oncology Clinical Practice Guideline. J Clin Oncol. 2018;36:1714-1768. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2245] [Cited by in F6Publishing: 2394] [Article Influence: 399.0] [Reference Citation Analysis (0)] |
13. | Hughes J, Vudattu N, Sznol M, Gettinger S, Kluger H, Lupsa B, Herold KC. Precipitation of autoimmune diabetes with anti-PD-1 immunotherapy. Diabetes Care. 2015;38:e55-e57. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 182] [Cited by in F6Publishing: 229] [Article Influence: 25.4] [Reference Citation Analysis (0)] |
14. | Elia G, Ferrari SM, Galdiero MR, Ragusa F, Paparo SR, Ruffilli I, Varricchi G, Fallahi P, Antonelli A. New insight in endocrine-related adverse events associated to immune checkpoint blockade. Best Pract Res Clin Endocrinol Metab. 2020;34:101370. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 39] [Cited by in F6Publishing: 30] [Article Influence: 7.5] [Reference Citation Analysis (0)] |
15. | Magis Q, Gaudy-Marqueste C, Basire A, Loundou A, Malissen N, Troin L, Monestier S, Mallet S, Hesse S, Richard MA, Valéro R, Beliard S, Grob JJ. Diabetes and Blood Glucose Disorders Under Anti-PD1. J Immunother. 2018;41:232-240. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 14] [Cited by in F6Publishing: 19] [Article Influence: 3.8] [Reference Citation Analysis (0)] |
16. | Tsang VHM, McGrath RT, Clifton-Bligh RJ, Scolyer RA, Jakrot V, Guminski AD, Long GV, Menzies AM. Checkpoint Inhibitor-Associated Autoimmune Diabetes Is Distinct From Type 1 Diabetes. J Clin Endocrinol Metab. 2019;104:5499-5506. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 54] [Cited by in F6Publishing: 77] [Article Influence: 15.4] [Reference Citation Analysis (0)] |
17. | Wu L, Tsang VHM, Sasson SC, Menzies AM, Carlino MS, Brown DA, Clifton-Bligh R, Gunton JE. Unravelling Checkpoint Inhibitor Associated Autoimmune Diabetes: From Bench to Bedside. Front Endocrinol (Lausanne). 2021;12:764138. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 12] [Cited by in F6Publishing: 21] [Article Influence: 7.0] [Reference Citation Analysis (0)] |
18. | Akturk HK, Alkanani A, Zhao Z, Yu L, Michels AW. PD-1 Inhibitor Immune-Related Adverse Events in Patients With Preexisting Endocrine Autoimmunity. J Clin Endocrinol Metab. 2018;103:3589-3592. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 27] [Cited by in F6Publishing: 30] [Article Influence: 5.0] [Reference Citation Analysis (0)] |
19. | Clotman K, Janssens K, Specenier P, Weets I, De Block CEM. Programmed Cell Death-1 Inhibitor-Induced Type 1 Diabetes Mellitus. J Clin Endocrinol Metab. 2018;103:3144-3154. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 113] [Cited by in F6Publishing: 138] [Article Influence: 23.0] [Reference Citation Analysis (2)] |