Next Article in Journal
Application of Monoclonal Antibodies against Naturally Occurring Bioactive Ingredients
Previous Article in Journal
A Comparison of Natural and Therapeutic Anti-IgE Antibodies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Adverse Events of PD-1, PD-L1, CTLA-4, and LAG-3 Immune Checkpoint Inhibitors: An Analysis of the FDA Adverse Events Database

1
Department of Medicine, University of British Columbia, 317-2194 Health Sciences Mall, Vancouver, BC V6T 1Z3, Canada
2
Department of Ophthalmology and Visual Sciences, University of British Columbia, 2550 Willow Street, Vancouver, BC V5Z 3N9, Canada
*
Author to whom correspondence should be addressed.
Antibodies 2024, 13(3), 59; https://doi.org/10.3390/antib13030059
Submission received: 28 June 2024 / Revised: 13 July 2024 / Accepted: 16 July 2024 / Published: 17 July 2024
(This article belongs to the Section Antibody-Based Therapeutics)

Abstract

:
This study aimed to identify the 25 most prevalent adverse events (AEs) associated with FDA-approved immune checkpoint inhibitors (ICIs)—specifically, PD-1, PD-L1, CTLA-4, and LAG-3 inhibitors—using data from the FDA Adverse Events Reporting System (FAERS), a publicly available repository of reported drug adverse events, and AERSMine, an open-access pharmacovigilance tool, to investigate these adverse events. For PD-1 inhibitors, the most common AEs were diarrhea, fatigue, and pyrexia, with notable instances of neutropenia and hypothyroidism, particularly with toripalimab and dostarlimab. PD-L1 inhibitors also frequently caused pyrexia, diarrhea, and fatigue, with interstitial lung disease and hypothyroidism showing a class effect, and drug-specific AEs such as hepatotoxicity and chills. CTLA-4 inhibitors predominantly resulted in diarrhea and colitis, with ipilimumab frequently causing pyrexia and rash, while tremelimumab exhibited unique AEs such as biliary tract infection. The LAG-3 inhibitor relatlimab reported fewer AEs, including pyrexia and pneumonia. Rare but significant AEs across all inhibitors included myocarditis and myasthenia gravis. This study provides a detailed overview of the 25 most common AEs associated with ICIs, offering valuable insights for clinical decision-making and AE management. Further research is necessary to elucidate the mechanisms underlying these AEs and to develop targeted interventions to enhance the safety and efficacy of ICI therapy in patients with cancer.

1. Introduction

The advent of immuno-oncology has changed the landscape of treatment options available to patients with cancer [1,2]. Of these therapies, the monoclonal antibody-based immune checkpoint inhibitors (ICI) have been the most widely utilized to date for a wide range of malignancies, most notably melanoma, lung, and colorectal cancer, as well as tumours with mismatch repair deficiencies (dMMR) or a high tumour mutational burden (TMB) [3,4,5]. These drugs have been developed against multiple targets including CTLA-4 (cytotoxic T-lymphocyte-associated protein 4), PD-1 (programmed cell death protein 1), PD-L1 (programmed death-ligand 1), and LAG-3 (lymphocyte activation gene 3), key regulators of the immune checkpoint [6,7]. This checkpoint is a complex regulatory system that maintains the balance between activation and inhibition of T-cells to prevent excessive immune responses and autoimmune reactions [8]. CTLA-4 functions during the initial phase of T-cell activation, competing with the co-stimulatory molecule CD28 for binding to CD80/86 on antigen-presenting cells, thereby downregulating T-cell activation [9]. PD-1, expressed on T-cells, B-cells, and myeloid cells, interacts with its ligands PD-L1/2 to dampen T-cell responses, serving as a mechanism of self-tolerance [10]. Similarly, LAG-3 negatively regulates T-cell activation upon interaction with its ligand, MHC II [11]. ICIs target these inhibitory pathways, allowing for an anti-tumour response through a blockade of the interaction between these checkpoints and their ligands.
While the widespread activation of T-cells within the tumour microenvironment can yield remarkable responses in certain patients, it is anticipated that an escalation in immunological activity may precipitate AEs. Existing literature indicates that ICIs cause a broad spectrum of AEs, however, no study to date has reported the most prevalent among all the ICIs [12,13,14,15,16]. The objective of this study is to ascertain the most frequently reported AEs associated with the administration of ICIs in the FDA Adverse Events Reporting System. This work is imperative given the rising utilization of ICIs, coupled with the numerous ongoing trials evaluating novel agents. It’s important to highlight to oncologists, as well as other physicians involved in caring for a patient with cancer, the anticipated AEs of these therapies and to provide appropriate counselling. To the best of our knowledge, this paper is the first to report the commonest AEs corresponding to all the FDA-approved ICIs.

2. Methods

The FDA Adverse Event Reporting System (FAERS) serves as a comprehensive repository for documented adverse drug reactions attributed to various pharmaceutical products. These reports are sourced from submissions made by pharmaceutical companies, healthcare professionals, and consumers within the USA. Moreover, FAERS encompasses post-marketing clinical trial data derived from investigations conducted domestically and internationally. Due to the public nature of the data, an ethics committee was not involved in this study. Disproportionality analyses involve the comparative assessment of a reported incidence of a specific AE with a given drug against the background reported rate of AEs associated with all other pharmaceuticals. Using OpenVigil 2.1 (OpenVigil, Kiel, Germany) [17], individual queries were performed to retrieve AEs for the PD-1 drugs pembrolizumab, nivolumab, tislelizumab, cemiplimab, dostarlimab, toripalimab, the PD-L1 drugs avelumab, durvalumab, atezolizumab, the CTLA-4 drugs ipilimumab and tremelimumab, and the LAG-3 drug relatlimab.
For this study, reports submitted from the first quarter of 2017 to the first quarter of 2024 were utilized for analysis. The 25 most frequently reported AEs were extracted. These data enabled the calculation of RORs, which indicate the likelihood of an AE occurring in the presence of drug exposure compared to the likelihood of the same AEs occurring in the absence of that exposure, relative to all other drugs. OpenVigil calculates RORs from FAERS by constructing a 2 × 2 contingency table that includes the number of reports of the adverse event with the drug, the number of reports without the adverse event with the drug, the number of reports with the adverse event for all other drugs, and the number of reports without the adverse event for all other drugs. Statistical significance for each ROR value was determined if the lower-bound value of the 95% confidence interval exceeded 1.00 and the ROR was greater than 2.00. Only AEs with five or more reports each were included. OpenVigil 2.1 incorporates data cleaning procedures, including the removal of duplicate records, rectification of improperly formatted entries, and consolidation of terms referring to the same drug under a single term.

3. Results

3.1. PD-1

There was a total of 44,224 AEs reported across the 25 most prominent AEs from each of the six FDA-approved PD-1 therapies: 21,276 for pembrolizumab, 22,415 for nivolumab, 78 for cemiplimab, 138 for dostarlimab, 114 for toripalimab, and 203 for tislelizumab (Table 1). The most frequently reported AEs observed across all PD-1 ICIs were diarrhea, fatigue, and pyrexia. Toripalimab was most often associated with diarrhea (ROR = 3.646), followed by dostarlimab (ROR = 1.841). Fatigue was most reported with dostarlimab (ROR = 4.554) and toripalimab (ROR = 1.613). Pyrexia was notably associated with dostarlimab (ROR = 7.126) and pembrolizumab (ROR = 2.822). Hematological AEs such as thrombocytopenia and neutropenia varied in frequency among ICIs. Toripalimab (ROR = 8.838) and dostarlimab (ROR = 7.080) were prominently associated with thrombocytopenia, while tislelizumab (ROR = 23.585) and dostarlimab (ROR = 13.954) were more prevalent for neutropenia. Immune-related AEs were observed across all ICIs, with hypothyroidism being the most prevalent. Pembrolizumab had the strongest signal for hypothyroidism (ROR = 25.930), followed by nivolumab (ROR = 20.911). Other notable Immune-related AEs included pneumonitis, reported most frequently with toripalimab (ROR = 45.859) and pembrolizumab (ROR = 20.024), and colitis, notably associated with nivolumab (ROR = 29.467). Other serious AEs such as myocarditis and adrenal insufficiency were rare but exhibited high reporting odds ratios when present. Dostarlimab (ROR = 143.905) and nivolumab (ROR = 29.085) were notably associated with myocarditis, while adrenal insufficiency showed a strong signal with nivolumab (ROR = 45.012).
There was a total of 12,020 AEs reported across the 25 most prominent AEs from each of the three FDA-approved PD-L1 therapies: 8898 for atezolizumab, 927 for avelumab, and 2195 for durvalumab (Table 2). Pyrexia was the most frequently reported AE for all three drugs, with atezolizumab having the highest signal (ROR = 3.475), followed by durvalumab (2.500) and avelumab (2.422). Diarrhea, fatigue, and anemia were also commonly reported adverse events across all three drugs. Atezolizumab had the strongest signal for diarrhea (ROR = 1.481), fatigue (ROR = 1.016), and anemia (ROR = 4.549). Notably, specific adverse events such as interstitial lung disease, hypothyroidism, neutropenia, pneumonitis, and adrenal insufficiency exhibited high RORs across all three drugs, indicating a potential class effect. For example, interstitial lung disease had RORs of 17.187, 15.905, and 20.135 for atezolizumab, avelumab, and durvalumab, respectively. Furthermore, some AEs were unique to individual drugs. For instance, hepatotoxicity, proteinuria, and ascites were reported only with atezolizumab, while chills, malaise, and peripheral neuropathy were reported only with avelumab. Durvalumab showed unique AEs including myocarditis and pleural effusion.

3.2. CTLA-4

There was a total of 14,382 AEs reported across the 25 most prominent AEs from both FDA-approved CTLA-4 therapies: 13,989 for ipilimumab and 393 for tremelimumab (Table 3). Among the AEs, diarrhea and colitis were the most frequently reported for both drugs. Ipilimumab exhibited a higher signal for diarrhea (ROR = 2.870) and colitis (ROR = 61.885) compared to tremelimumab. Pyrexia, rash, and fatigue were also commonly reported AEs with ipilimumab, while tremelimumab showed a lower incidence or absence of these events. Pyrexia had a higher.
ROR with Ipilimumab (ROR = 3.780) compared to Tremelimumab (ROR = 9.327). Certain adverse events such as hypophysitis, adrenal insufficiency, and hepatic dysfunction demonstrated high RORs for Ipilimumab, indicating their association with this drug rather than the class as tremelimumab showed a lower frequency of these events or were absent. Additionally, unique adverse events were reported with each drug. Tremelimumab showed a higher incidence of biliary tract infection (ROR = 4275.104) and gastrointestinal hemorrhage (ROR = 7.875), while ipilimumab exhibited adverse events such as pneumonitis (ROR = 21.095) and dehydration (ROR = 2.835).

3.3. LAG-3

There was a total of 43 AEs reported across the 25 most prominent AEs for the FDA-approved LAG-3 therapies relatlimab. Pyrexia was reported twice with a moderate ROR of 5.986, while pneumonia had five reported cases with an ROR of 18.674. Despite their limited occurrences, other adverse events, such as myositis (ROR = 227.604), myasthenia gravis (ROR = 344.496), and infection (ROR = 75.279), showed strong signals. Colitis, pneumonitis, and myocarditis were rare but notable AEs, with colitis and pneumonitis each having one reported event with high RORs of 183.992 and 18.674, respectively. Myocarditis was reported three times with a remarkably high ROR of 292.250. Various rare adverse events, including adrenal insufficiency, hepatic dysfunction, and third-degree heart block, were also reported. Each had one reported case and strong signals. Multiple instances of symptoms like anxiety, hyponatremia, and confusion were reported, with RORs ranging from 10.301 to 36.026. It’s worth noting that this drug is administered together with nivolumab as a combination product, and thus there may be an influence of the PD-1 drug class in these AEs. For example, the ROR for both myocarditis and pyrexia were strongly elevated in both relatlimab and nivolumab.

4. Discussion

The advent of immune checkpoint inhibitors has revolutionized cancer treatment, offering promising outcomes for patients across various malignancies [18,19]. However, their widespread use has brought attention to the diverse spectrum of AEs associated with these agents, though some studies suggest a better clinical outcome, particularly when endocrine, dermatological, and low-grade immune-related AEs occur [20,21,22]. In this analysis, we examined the commonest 25 AEs across all the FDA-approved PD-1, PD-L1, CTLA-4, and LAG-3 ICIs, highlighting the most common events seen in these therapies to bring awareness to oncologists, among other clinicians, when treating patients on these drugs.
Across all ICIs, a constellation of common AEs emerged, reflecting the systemic impact of immune modulation. Consistently reported AEs included pyrexia, fatigue, diarrhea, and immune-related AEs such as hypothyroidism and pneumonitis and are congruent with our findings [23,24,25]. These underscore the broad activation of the immune system by ICIs, leading to immune-related inflammation and dysfunction broadly. Additionally, hematological AEs such as neutropenia, thrombocytopenia, and anemia were prevalent, highlighting the potential for bone marrow suppression or immune-mediated cytopenia [26]. Hepatic dysfunction and gastrointestinal AEs, including colitis and hepatotoxicity, further underscored the susceptibility of the liver and gastrointestinal tract to immune-mediated injury [27,28]. Notably, certain AEs exhibited drug-specific patterns, suggesting distinct mechanisms or target organ susceptibilities. For instance, CTLA-4 inhibitors were associated with a higher incidence of colitis and diarrhea, while PD-1 inhibitors showed a strong trend toward immune-related AEs, again, congruent with the current literature [29,30]. While some AEs were rare, their occurrence underscored the need for vigilant monitoring and prompt intervention. Infrequent but significant AEs included myocarditis, adrenal insufficiency, myositis and myasthenia gravis, which carried significant morbidity risks and have been shown to result in an ICI-induced overlap syndrome [31]. While these agents have been demonstrated to cause adverse events, the mechanisms are not clearly understood aside from those that are immune-mediated [20]. This opens the door for studies to focus on the pathophysiology of individual events with the highest incidence, elucidated by studies such as this one.
The FAERS database, while invaluable for monitoring adverse drug events, has several inherent limitations that must be considered. Firstly, there is no certainty that the reported event was caused by the product. The FDA does not require proof of a causal relationship between a product and an event, and the reports may not always contain enough detail to assess an event properly. Additionally, the FDA does not receive reports for every adverse event or medication error associated with a product. Lastly, several factors, such as the duration a product has been on the market and the publicity about an event, can influence whether an event will be reported.
Overall, our findings emphasize the importance of vigilant monitoring for and management of, AEs in patients receiving ICIs. The collaboration between oncologists, and immunologists, among others is paramount to promptly recognize and manage AEs, optimize treatment efficacy, and ensure patient safety. Additionally, ongoing research efforts are warranted to elucidate the underlying mechanisms of AEs and develop targeted interventions to mitigate their impact, thereby maximizing the therapeutic potential of ICIs in the era of precision oncology.

Author Contributions

C.F.—Conceptualization, Methodology, Formal Analysis, Investigation, Data Curation, Writing—Original Draft, Writing—Review & Editing; M.E.—Conceptualization, Methodology, Formal Analysis, Investigation, Data Curation, Writing—Original Draft, Writing—Review & Editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data utilized in the study is publicly available at https://openvigil.sourceforge.net (accessed on 2 June 2024) through the FDA Adverse Events Reporting System for free, and thus, no data is shared from this study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sharma, P.; Goswami, S.; Raychaudhuri, D.; Siddiqui, B.A.; Singh, P.; Nagarajan, A.; Liu, J.; Subudhi, S.K.; Poon, C.; Gant, K.L.; et al. Immune checkpoint therapy—Current perspectives and future directions. Cell 2023, 186, 1652–1669. [Google Scholar] [CrossRef] [PubMed]
  2. Tang, J.; Shalabi, A.; Hubbard-Lucey, V.M. Comprehensive analysis of the clinical immuno-oncology landscape. Ann. Oncol. 2018, 29, 84–91. [Google Scholar] [CrossRef]
  3. Cohen, R.; Rousseau, B.; Vidal, J.; Colle, R.; Diaz, L.A.; André, T. Immune Checkpoint Inhibition in Colorectal Cancer: Microsatellite Instability and Beyond. Target. Oncol. 2020, 15, 11–24. [Google Scholar] [CrossRef] [PubMed]
  4. Klempner, S.J.; Fabrizio, D.; Bane, S.; Reinhart, M.; Peoples, T.; Ali, S.M.; Sokol, E.S.; Frampton, G.; Schrock, A.B.; Anhorn, R.; et al. Tumor Mutational Burden as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors: A Review of Current Evidence. Oncologist 2020, 25, e147–e159. [Google Scholar] [CrossRef] [PubMed]
  5. Robert, C. A decade of immune-checkpoint inhibitors in cancer therapy. Nat. Commun. 2020, 11, 3801. [Google Scholar] [CrossRef] [PubMed]
  6. Huo, J.-L.; Wang, Y.-T.; Fu, W.-J.; Lu, N.; Liu, Z.-S. The promising immune checkpoint LAG-3 in cancer immunotherapy: From basic research to clinical application. Front. Immunol. 2022, 13, 956090. [Google Scholar] [CrossRef]
  7. Zhang, H.; Dai, Z.; Wu, W.; Wang, Z.; Zhang, N.; Zhang, L.; Zeng, W.-J.; Liu, Z.; Cheng, Q. Regulatory mechanisms of immune checkpoints PD-L1 and CTLA-4 in cancer. J. Exp. Clin. Cancer Res. 2021, 40, 184. [Google Scholar] [CrossRef] [PubMed]
  8. Waldman, A.D.; Fritz, J.M.; Lenardo, M.J. A guide to cancer immunotherapy: From T cell basic science to clinical practice. Nat. Rev. Immunol. 2020, 20, 651–668. [Google Scholar] [CrossRef] [PubMed]
  9. Van Coillie, S.; Wiernicki, B.; Xu, J. Molecular and Cellular Functions of CTLA-4. In Regulation of Cancer Immune Checkpoints: Molecular and Cellular Mechanisms and Therapy; Xu, J., Ed.; Springer: Berlin/Heidelberg, Germany, 2020; pp. 7–32. [Google Scholar] [CrossRef]
  10. Liu, J.; Chen, Z.; Li, Y.; Zhao, W.; Wu, J.; Zhang, Z. PD-1/PD-L1 Checkpoint Inhibitors in Tumor Immunotherapy. Front. Pharmacol. 2021, 12, 731798. [Google Scholar] [CrossRef]
  11. Maruhashi, T.; Sugiura, D.; Okazaki, I.-M.; Okazaki, T. LAG-3: From molecular functions to clinical applications. J. Immunother. Cancer 2020, 8, e001014. [Google Scholar] [CrossRef]
  12. Chen, C.; Chen, T.; Liang, J.; Guo, X.; Xu, J.; Zheng, Y.; Guo, Z.; Chi, L.; Wei, L.; Chen, X.; et al. Cardiotoxicity Induced by Immune Checkpoint Inhibitors: A Pharmacovigilance Study From 2014 to 2019 Based on FAERS. Front. Pharmacol. 2021, 12, 616505. [Google Scholar] [CrossRef] [PubMed]
  13. Chen, C.; Wu, B.; Zhang, C.; Xu, T. Immune-related adverse events associated with immune checkpoint inhibitors: An updated comprehensive disproportionality analysis of the FDA adverse event reporting system. Int. Immunopharmacol. 2021, 95, 107498. [Google Scholar] [CrossRef] [PubMed]
  14. Fang, T.; Maberley, D.A.; Etminan, M. Ocular adverse events with immune checkpoint inhibitors. J. Curr. Ophthalmol. 2019, 31, 319–322. [Google Scholar] [CrossRef] [PubMed]
  15. Hu, Y.; Gong, J.; Zhang, L.; Li, X.; Li, X.; Zhao, B.; Hai, X. Colitis following the use of immune checkpoint inhibitors: A real-world analysis of spontaneous reports submitted to the FDA adverse event reporting system. Int. Immunopharmacol. 2020, 84, 106601. [Google Scholar] [CrossRef] [PubMed]
  16. Zhang, P.; Lao, D.; Chen, H.; Zhao, B.; Du, Q.; Zhai, Q.; Ye, X.; Yu, B. Neuromuscular junction dysfunctions due to immune checkpoint inhibitors therapy: An analysis of FAERS data in the past 15 years. Front. Immunol. 2022, 13, 778635. [Google Scholar] [CrossRef] [PubMed]
  17. OpenVigil Pharmacovigilance Search Engines. Available online: https://openvigil.sourceforge.net/ (accessed on 23 March 2024).
  18. Shiravand, Y.; Khodadadi, F.; Kashani, S.M.A.; Hosseini-Fard, S.R.; Hosseini, S.; Sadeghirad, H.; Ladwa, R.; O’byrne, K.; Kulasinghe, A. Immune Checkpoint Inhibitors in Cancer Therapy. Curr. Oncol. 2022, 29, 3044–3060. [Google Scholar] [CrossRef] [PubMed]
  19. Tang, Q.; Chen, Y.; Li, X.; Long, S.; Shi, Y.; Yu, Y.; Wu, W.; Han, L.; Wang, S. The role of PD-1/PD-L1 and application of immune-checkpoint inhibitors in human cancers. Front. Immunol. 2022, 13, 964442. [Google Scholar] [CrossRef] [PubMed]
  20. Martins, F.; Sofiya, L.; Sykiotis, G.P.; Lamine, F.; Maillard, M.; Fraga, M.; Shabafrouz, K.; Ribi, C.; Cairoli, A.; Guex-Crosier, Y.; et al. Adverse effects of immune-checkpoint inhibitors: Epidemiology, management and surveillance. Nat. Rev. Clin. Oncol. 2019, 16, 563–580. [Google Scholar] [CrossRef] [PubMed]
  21. Choi, J.; Lee, S.Y. Clinical Characteristics and Treatment of Immune-Related Adverse Events of Immune Checkpoint Inhibitors. Immune Netw. 2020, 20, e9. [Google Scholar] [CrossRef]
  22. Zhou, X.; Yao, Z.; Yang, H.; Liang, N.; Zhang, X.; Zhang, F. Are immune-related adverse events associated with the efficacy of immune checkpoint inhibitors in patients with cancer? A systematic review and meta-analysis. BMC Med. 2020, 18, 87. [Google Scholar] [CrossRef]
  23. Ramos-Casals, M.; Sisó-Almirall, A. Immune-Related Adverse Events of Immune Checkpoint Inhibitors. Ann. Intern. Med. 2024, 177, ITC17–ITC32. [Google Scholar] [CrossRef] [PubMed]
  24. Yan, T.; Yu, L.; Zhang, J.; Chen, Y.; Fu, Y.; Tang, J.; Liao, D. Achilles’ Heel of currently approved immune checkpoint inhibitors: Immune related adverse events. Front. Immunol. 2024, 15, 1292122. [Google Scholar] [CrossRef]
  25. Schneider, B.J.; Naidoo, J.; Santomasso, B.D.; Lacchetti, C.; Adkins, S.; Anadkat, M.; Atkins, M.B.; Brassil, K.J.; Caterino, J.M.; Chau, I.; et al. Management of Immune-Related Adverse Events in Patients Treated with Immune Checkpoint Inhibitor Therapy: ASCO Guideline Update. J. Clin. Oncol. 2021, 39, 4073–4126. [Google Scholar] [CrossRef] [PubMed]
  26. Shieh, C.; Chalikonda, D.; Block, P.; Shinn, B.; Kistler, C.A. Gastrointestinal toxicities of immune checkpoint inhibitors: A multicenter retrospective analysis. Ann. Gastroenterol. 2021, 34, 46–52. [Google Scholar] [CrossRef] [PubMed]
  27. Kaneko, S.; Asahina, Y.; Nakagawa, M.; Murakawa, M.; Miyazaki, Y.; Asakage, T.; Fukuda, S.; Namiki, T.; Kano, Y.; Nagata, M.; et al. Factors associated with liver injury and prognosis in advanced cancer patients treated with immune checkpoint inhibitors. Hepatol. Res. 2023, 53, 450–459. [Google Scholar] [CrossRef] [PubMed]
  28. Losurdo, G.; Angelillo, D.; Favia, N.; Sergi, M.C.; Di Leo, A.; Triggiano, G.; Tucci, M. Checkpoint Inhibitor-Induced Colitis: An Update. Biomedicines 2023, 11, 1496. [Google Scholar] [CrossRef] [PubMed]
  29. Sebestyén, E.; Major, N.; Bodoki, L.; Makai, A.; Balogh, I.; Tóth, G.; Orosz, Z.; Árkosy, P.; Vaskó, A.; Hodosi, K.; et al. Immune-related adverse events of anti-PD-1 immune checkpoint inhibitors: A single center experience. Front. Oncol. 2023, 13, 1252215. [Google Scholar] [CrossRef] [PubMed]
  30. Rossi, S.; Gelsomino, F.; Rinaldi, R.; Muccioli, L.; Comito, F.; Di Federico, A.; De Giglio, A.; Lamberti, G.; Andrini, E.; Mollica, V.; et al. Peripheral nervous system adverse events associated with immune checkpoint inhibitors. J. Neurol. 2023, 270, 2975–2986. [Google Scholar] [CrossRef]
  31. Aggarwal, N.; Bianchini, D.; Parkar, R.; Turner, J. Immunotherapy-Induced Overlap Syndrome: Myositis, Myasthenia Gravis, and Myocarditis—A Case Series. Case Rep. Med. 2024, 2024, 5399073. [Google Scholar] [CrossRef]
Table 1. PD-1 Immune Checkpoint Inhibitor Adverse Events. Reported odds ratio (ROR) for the 25 most common adverse events associated with each anti-PD-1 immune checkpoint inhibitor.
Table 1. PD-1 Immune Checkpoint Inhibitor Adverse Events. Reported odds ratio (ROR) for the 25 most common adverse events associated with each anti-PD-1 immune checkpoint inhibitor.
Adverse EventPembrolizumabNivolumabCemiplimabDostarlimabToripalimabTislelizumab
EventsROREventsROREventsROREventsROREventsROREventsROR
Diarrhoea17261.96118671.832160.767101.84163.64691.776
Fatigue15961.43013511.035361.403111.61394.554--
Pyrexia12842.82215392.937262.46651.75667.12641.504
Thrombocytopenia11723.8984522.572--137.080--158.838
Hypertension11143.750--------42.348
Rash11001.78413131.848362.57441.04132.532114.564
Decreased Appetite10243.41710483.018152.142--712.90174.081
Nausea10230.8509890.708200.72160.81152.240--
Hypothyroidism97725.93091920.9111010.615--681.3601253.695
Interstitial Lung Disease87214.05387712.200149.401------
Asthenia7551.4386441.055211.749--66.29851.670
Malaise7531.0787400.914110.681------
Neutropenia7003.619----43.338513.9542723.585
Renal Dysfunction6635.262--113.737----533.065
Anaemia6592.6065631.916--53.22048.442117.860
Acute Kidney Injury6572.946252.413101.927------
Pneumonitis65520.02489724.3631924.113733.482345.859--
Dyspnoea6510.7948110.858201.07181.62131.935--
Colitis65014.416154129.467109.242------
Pneumonia6431.5178341.710323.35851.929--41.652
Vomiting6010.876160.77130.81961.43143.111--
Arthralgia5620.9845630.852130.99230.854----
Weight Decreased4891.2676411.443--41.695----
Hepatic Dysfunction4839.536140610.55921 6.895 --827.732--
Peripheral Neuropathy4673.569----------
Pruritus--6501.157201.805--55.606--
Adrenal Insufficiency--64445.012--------
Myocarditis--46029.0851749.943443.7094143.905--
Headache--4250.377130.584------
Sepsis----154.358------
Hemorrhage----112.795------
Stroke----101.364------
Abdominal Pain------105.22634.940--
Dysphagia------67.113----
Diabetes Mellitus------44.871----
Myasthenia------44.076----
Cardiomyopathy------478.025273.329--
Cardiac Arrest------33.824--45.509
Constipation------31.693----
Hypotension------31.688----
Malaise------30.694----
Pulmonary Embolism------33.092----
Myelosuppression--------12248.37738272.420
Neurotoxicity--------367.316--
Abdominal Distension--------27.33133.684
Chest Pain--------27.508--
Chills--------26.428--
Cough--------22.75131.383
Gastrointestinal Dysfunction--------28.75434.399
Palmar-Plantar Erythrodysaesthesia Syndrome----------838.775
Mouth Ulceration----------635.835
Hypokalemia----------514.982
Leukopenia----------513.218
Allergic Dermatitis----------441.507
Peripheral Edema----------43.623
Drug-Induced Liver Injury----------312.436
Granulocytopenia----------359.203
Total21,276 22,415 78 138 114 203
ROR, reported odds ratio. Bolded text indicates statistical significance (ROR > 2, which means that the odds for this adverse event when using the drug is at least twice as likely as for all other drugs) PD-L1.
Table 2. PD-L1 Immune Checkpoint Inhibitor Adverse Events. Reported odds ratio (ROR) for the 25 most common adverse events associated with each anti-PD-L1 immune checkpoint inhibitor.
Table 2. PD-L1 Immune Checkpoint Inhibitor Adverse Events. Reported odds ratio (ROR) for the 25 most common adverse events associated with each anti-PD-L1 immune checkpoint inhibitor.
Adverse EventAtezolizumabAvelumabDurvalumab
EventsROREventsROREventsROR
Pyrexia6303.475472.4221362.500
Diarrhoea5301.481721.932 760.704
Fatigue4611.016621.31720.528
Anaemia4554.549--652.153
Interstitial Lung Disease43317.1874315.90515120.135
Hypothyroidism36723.1935130.1846814.087
Nausea3520.727490.969480.331
Pneumonia3432.031241.337861.714
Rash3391.359411.566740.997
Neutropenia9397.213--3395.916
Decreased appetite3292.709282.175511.402
Dyspnoea3100.948300.8691171.217
Thrombocytopenia5164.269264.0521133.972
Pneumonitis29421.7992215.0521555.300
Hypertension2932.418473.719--
Asthenia2631.245241.076430.682
Hepatic Dysfunction25512.4714812.128569.120
Proteinuria24123.134----
Ascites24015.186----
Vomiting2380.859301.032--
Adrenal insufficiency23142.4113558.993--
Acute kidney injury2242.484293.061--
Colitis22011.8243819.3847212.996
Sepsis2003.321--613.420
Constipation1951.687----
Chills--355.151--
Malaise--351.19--
Peripheral Neuropathy--356.359--
Myocarditis--2743.0855833.018
Pruritus--251.217--
Renal Dysfunction--244.446--
Myelosuppression----8424.192
Pleural Effusion----595.971
Pancytopenia----394.386
Abdominal Pain----380.99
Pruritus----380.654
Myositis----3624.739
Total8898 927 2195
ROR, reported odds ratio. Bolded text indicates statistical significance (ROR > 2), which means that the odds for this adverse event when using the drug are at least twice as likely as for all other drugs).
Table 3. CTLA-4 and LAG-3 Immune Checkpoint Inhibitor Adverse Events. Reported odds ratio (ROR) for the 25 most common adverse events associated with the anti-CTLA-4 and anti-LAG-3 immune checkpoint inhibitors.
Table 3. CTLA-4 and LAG-3 Immune Checkpoint Inhibitor Adverse Events. Reported odds ratio (ROR) for the 25 most common adverse events associated with the anti-CTLA-4 and anti-LAG-3 immune checkpoint inhibitors.
Adverse EventIpilimumab
(CTLA-4)
Tremelimumab
(CTLA-4)
Relatlimab
(LAG-3)
EventsROREventsROREventsROR
Diarrhoea14032.87080.82511.472
Colitis155661.885 25 49.337 1 183.992
Pyrexia9663.780429.32725.986
Rash9442.742----
Fatigue6350.98770.57111.168
Hypophysitis893565.424----
Nausea5530.808----
Adrenal Insufficiency49468.453----
Decreased Appetite4932.871----
Pruritus4191.523----
Hepatic Dysfunction105912.086 30 72.700 1 35.265
Hypothyroidism41218.322----
Vomiting4111.05191.230--
Pneumonitis40021.0951335.865--
Malaise3790.953----
Pneumonia3601.494--518.674
Dyspnoea3520.755182.122--
Headache3320.602----
Interstitial Lung Disease2958.073----
Anaemia2932.025----
Acute Kidney Injury2812.195----
Dehydration2812.835147.675--
Asthenia2660.883----
Sepsis2593.0333624.407329.050
Arthralgia2530.777--12.354
Biliary Tract Infection--284275.104--
Abdominal Pain--268.007--
Myocarditis--1596.5743292.250
Gastrointestinal
Hemorrhage
--
12

7.875
--
Intestinal Perforation--1270.125--
Myasthenia--127.131--
Pancytopenia--1215.321--
Drug-Induced
Liver Injury
--
11

24.795
--
Confusion--113.866--
Neutropenia--1011.881--
Hypotension--103.279--
Presyncope--1028.669--
Nephritis--8170.176--
Chills--74.052--
Myositis--753.5992227.604
Anxiety----410.301
Infection----475.279
Hyponatremia----236.026
Myasthenia Gravis----2344.496
Pulmonary Edema----1190.840
Arthritis----112.184
Third Degree
Heart Block
----
1
133.639
Cardiogenic Shock----165.547
Confusion----15.486
Dermatitis----155.556
Dysphagia----19.666
ECG Abnormalities----1101.703
Epilepsy----129.521
Hemophagocytic
Lymphohistiocytosis
----
1
178.250
Hydrocephalus----1157.363
Total13,989 393 43
ROR, reported odds ratio. Bolded text indicates statistical significance (ROR > 2, which means that the odds for this adverse event when using the drug is at least twice as likely as for all other drugs).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Frey, C.; Etminan, M. Adverse Events of PD-1, PD-L1, CTLA-4, and LAG-3 Immune Checkpoint Inhibitors: An Analysis of the FDA Adverse Events Database. Antibodies 2024, 13, 59. https://doi.org/10.3390/antib13030059

AMA Style

Frey C, Etminan M. Adverse Events of PD-1, PD-L1, CTLA-4, and LAG-3 Immune Checkpoint Inhibitors: An Analysis of the FDA Adverse Events Database. Antibodies. 2024; 13(3):59. https://doi.org/10.3390/antib13030059

Chicago/Turabian Style

Frey, Connor, and Mahyar Etminan. 2024. "Adverse Events of PD-1, PD-L1, CTLA-4, and LAG-3 Immune Checkpoint Inhibitors: An Analysis of the FDA Adverse Events Database" Antibodies 13, no. 3: 59. https://doi.org/10.3390/antib13030059

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop