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Tumor Lysis Syndrome with CD20 Monoclonal Antibodies for Chronic Lymphocytic Leukemia: Signals from the FDA Adverse Event Reporting System

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Abstract

Background and Objective

Although tumor lysis syndrome was reported with obinutuzumab and rituximab, the association with CD20 monoclonal antibodies for chronic lymphocytic leukemia is unclear.

Methods

A disproportionality analysis was conducted to investigate the link between CD20 monoclonal antibodies and tumor lysis syndrome by accounting for known confounders and comparing with other anticancer drugs, using data from the US Food and Drug Administration Adverse Event Reporting System. Reporting odds ratios and the information component were calculated as disproportionality measures. A stepwise sensitivity analysis was conducted to test the robustness of disproportionality signals. Bradford Hill criteria were adopted to globally assess the potential causal relationship.

Results

From 2004 to 2022, 197, 368, 41, and 14 tumor lysis syndrome reports were detected for obinutuzumab, rituximab, ofatumumab, and alemtuzumab (CD52 monoclonal antibody), respectively. Disproportionality signals were found for the above four monoclonal antibodies when compared with other anticancer drugs. Sensitivity analyses confirmed robust disproportionality signals for obinutuzumab, rituximab, and ofatumumab. The median onset time was 4.5, 1.5, and 2.5 days for rituximab, obinutuzumab, and ofatumumab, respectively. A potential causal relationship was fulfilled by assessing Bradford Hill criteria.

Conclusions

This pharmacovigilance study on the FDA Adverse Event Reporting System detected a plausible association between CD20 monoclonal antibodies (but not CD52) and tumor lysis syndrome by assessing the adapted Bradford Hill criteria. Urgent clarification of drug- and patient-related risk factors is needed through large comparative population-based studies.

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References

  1. Shadman M. Diagnosis and treatment of chronic lymphocytic leukemia: a review. JAMA. 2023;329(11):918–32.

    Article  CAS  PubMed  Google Scholar 

  2. Hallek M, Cheson BD, Catovsky D, Caligaris-Cappio F, Dighiero G, Dohner H, et al. iwCLL guidelines for diagnosis, indications for treatment, response assessment, and supportive management of CLL. Blood. 2018;131(25):2745–60.

    Article  CAS  PubMed  Google Scholar 

  3. Hallek M, Al-Sawaf O. Chronic lymphocytic leukemia: 2022 update on diagnostic and therapeutic procedures. Am J Hematol. 2021;96(12):1679–705.

    Article  PubMed  Google Scholar 

  4. Howard SC, Trifilio S, Gregory TK, Baxter N, McBride A. Tumor lysis syndrome in the era of novel and targeted agents in patients with hematologic malignancies: a systematic review. Ann Hematol. 2016;95(4):563–73.

    Article  CAS  PubMed  Google Scholar 

  5. Howard SC, Jones DP, Pui CH. The tumor lysis syndrome. N Engl J Med. 2011;364(19):1844–54.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Williams SM, Killeen AA. Tumor lysis syndrome. Arch Pathol Lab Med. 2019;143(3):386–93.

    Article  CAS  PubMed  Google Scholar 

  7. Wanchoo R, Bernabe Ramirez C, Barrientos J, Jhaveri KD. Renal involvement in chronic lymphocytic leukemia. Clin Kidney J. 2018;11(5):670–80.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Cheson BD, Heitner Enschede S, Cerri E, Desai M, Potluri J, Lamanna N, et al. Tumor lysis syndrome in chronic lymphocytic leukemia with novel targeted agents. Oncologist. 2017;22(11):1283–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Mustafa M, Mohamed MB, Hayat A. Tumour lysis syndrome and partial remission occurring after administration of a test dose of obinutuzumab. Eur J Case Rep Intern Med. 2017;4(1): 000516.

    PubMed  PubMed Central  Google Scholar 

  10. Jensen M, Winkler U, Manzke O, Diehl V, Engert A. Rapid tumor lysis in a patient with B-cell chronic lymphocytic leukemia and lymphocytosis treated with an anti-CD20 monoclonal antibody (IDEC-C2B8, rituximab). Ann Hematol. 1998;77(1–2):89–91.

    Article  CAS  PubMed  Google Scholar 

  11. Yang H, Rosove MH, Figlin RA. Tumor lysis syndrome occurring after the administration of rituximab in lymphoproliferative disorders: high-grade non-Hodgkin’s lymphoma and chronic lymphocytic leukemia. Am J Hematol. 1999;62(4):247–50.

    Article  CAS  PubMed  Google Scholar 

  12. Raschi E, Gatti M, Gelsomino F, Ardizzoni A, Poluzzi E, De Ponti F. Lessons to be learnt from real-world studies on immune-related adverse events with checkpoint inhibitors: a clinical perspective from pharmacovigilance. Target Oncol. 2020;15(4):449–66.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Sarangdhar M, Tabar S, Schmidt C, Kushwaha A, Shah K, Dahlquist JE, et al. Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data. Nat Biotechnol. 2016;34(7):697–700.

    Article  CAS  PubMed  Google Scholar 

  14. Faillie JL. Case-non-case studies: principle, methods, bias and interpretation. Therapie. 2019;74(2):225–32.

    Article  PubMed  Google Scholar 

  15. Noguchi Y, Tachi T, Teramachi H. Detection algorithms and attentive points of safety signal using spontaneous reporting systems as a clinical data source. Brief Bioinform. 2021;22(6): bbab347.

    Article  PubMed  Google Scholar 

  16. Rothman KJ, Lanes S, Sacks ST. The reporting odds ratio and its advantages over the proportional reporting ratio. Pharmacoepidemiol Drug Saf. 2004;13(8):519–23.

    Article  PubMed  Google Scholar 

  17. Noren GN, Hopstadius J, Bate A. Shrinkage observed-to-expected ratios for robust and transparent large-scale pattern discovery. Stat Methods Med Res. 2013;22(1):57–69.

    Article  PubMed  Google Scholar 

  18. Tambaro FP, Wierda WG. Tumour lysis syndrome in patients with chronic lymphocytic leukaemia treated with BCL-2 inhibitors: risk factors, prophylaxis, and treatment recommendations. Lancet Haematol. 2020;7(2):e168–76.

    Article  PubMed  Google Scholar 

  19. Raschi E, Fusaroli M, Ardizzoni A, Poluzzi E, De Ponti F. Cyclin-dependent kinase 4/6 inhibitors and interstitial lung disease in the FDA adverse event reporting system: a pharmacovigilance assessment. Breast Cancer Res Treat. 2021;186(1):219–27.

    Article  CAS  PubMed  Google Scholar 

  20. Barbar T, Jaffer SI. Tumor lysis syndrome. Adv Chronic Kidney Dis. 2021;28(5):438-46.e1.

    Article  PubMed  Google Scholar 

  21. National Cancer Institute. Drugs approved for chronic lymphocytic leukemia (CLL). https://www.cancer.gov/about-cancer/treatment/drugs/leukemia. Accessed 17 Sep 2023.

  22. Wierda WG, Byrd JC, Abramson JS, Bilgrami SF, Bociek G, Brander D, et al. Chronic lymphocytic leukemia/small lymphocytic lymphoma, version 4.2020, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Cancer Netw. 2020;18(2):185–217.

    CAS  Google Scholar 

  23. European Medicines Agency. Screening for adverse reactions in EudraVigilance. Inspections, Human Medicines, Pharmacovigilance and Committees Division, EMA/849944/2016; 2016.

  24. Yang K, Li J, Sun Z, Bai C, Zhao L. Effect of age on the risk of immune-related adverse events in patients receiving immune checkpoint inhibitors. Clin Exp Med. 2023. https://doi.org/10.1007/s10238-023-01055-8.

    Article  PubMed  Google Scholar 

  25. Zhang T, Ye X, Guo X, Wu G, Hou Y, Xu J, et al. Signal detection based on time to onset algorithm in spontaneous reporting system of China. Drug Saf. 2017;40(4):343–50.

    Article  PubMed  Google Scholar 

  26. Nakamura M, Umetsu R, Abe J, Matsui T, Ueda N, Kato Y, et al. Analysis of the time-to-onset of osteonecrosis of jaw with bisphosphonate treatment using the data from a spontaneous reporting system of adverse drug events. J Pharm Health Care Sci. 2015;1:34.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Khaleel MA, Khan AH, Ghadzi SMS, Adnan AS, Abdallah QM. A standardized dataset of a spontaneous adverse event reporting system. Healthcare (Basel). 2022;10(3):420.

    Article  PubMed  Google Scholar 

  28. Ando G, Taguchi K, Enoki Y, Yokoyama Y, Kizu J, Matsumoto K. Evaluation of the expression time of ganciclovir-induced adverse events using JADER and FAERS. Biol Pharm Bull. 2019;42(11):1799–804.

    Article  CAS  PubMed  Google Scholar 

  29. Raschi E, Fusaroli M, Giunchi V, Repaci A, Pelusi C, Mollica V, et al. Adrenal insufficiency with anticancer tyrosine kinase inhibitors targeting vascular endothelial growth factor receptor: analysis of the FDA Adverse Event Reporting System. Cancers (Basel). 2022;14(19):4610.

    Article  CAS  PubMed  Google Scholar 

  30. Fusaroli M, Raschi E, Giunchi V, Menchetti M, Rimondini Giorgini R, De Ponti F, et al. Impulse control disorders by dopamine partial agonists: a pharmacovigilance-pharmacodynamic assessment through the FDA Adverse Event Reporting System. Int J Neuropsychopharmacol. 2022;25(9):727–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Muganurmath CS, Curry AL, Schindzielorz AH. Causality assessment of olfactory and gustatory dysfunction associated with intranasal fluticasone propionate: application of the Bradford Hill criteria. Adv Ther. 2018;35(2):173–90.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Constantinides M, Fayd’herbe De Maudave A, Potier-Cartereau M, Campos-Mora M, Cartron G, Villalba M. Direct cell death induced by CD20 monoclonal antibodies on B cell lymphoma cells revealed by new protocols of analysis. Cancers (Basel). 2023;15(4):1109.

    Article  CAS  PubMed  Google Scholar 

  33. Nuckel H, Frey UH, Roth A, Duhrsen U, Siffert W. Alemtuzumab induces enhanced apoptosis in vitro in B-cells from patients with chronic lymphocytic leukemia by antibody-dependent cellular cytotoxicity. Eur J Pharmacol. 2005;514(2–3):217–24.

    Article  PubMed  Google Scholar 

  34. Kater AP, Kersting S, van Norden Y, Dubois J, Dobber JA, Mellink CH, et al. Obinutuzumab pretreatment abrogates tumor lysis risk while maintaining undetectable MRD for venetoclax + obinutuzumab in CLL. Blood Adv. 2018;2(24):3566–71.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Al-Sawaf O, Fink A-M, Robrecht S, Sinha A, Tandon M, Eichhorst BF, et al. Prevention and management of tumor lysis syndrome in patients with CLL and coexisting conditions treated with venetoclax-obinutuzumab or chlorambucil-obinutuzumab: results from the randomized CLL14 trial. Blood. 2019;134:4315.

    Article  Google Scholar 

  36. Pierpont TM, Limper CB, Richards KL. Past, present, and future of rituximab: the world’s first oncology monoclonal antibody therapy. Front Oncol. 2018;8:163.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We appreciate the help of Dr. Mohammad Ali Khaleel in extracting raw data from a cleaned FAERS dataset.

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Authors and Affiliations

Authors

Corresponding authors

Correspondence to Hui Gong or Miao Yan.

Ethics declarations

Funding

This work was supported by the National Natural Science Foundation of China (No. 81974532), the Hunan Natural Science Funds for Distinguished Young Scholars (No. 2022JJ10097), and the Research Foundation of Education Bureau of Hunan Province for Young Scholars (No. 21B0014).

Conflict of Interest

Shuang Xia, Jia-ting Ma, Emanuel Raschi, Rui Ma, Bi-kui Zhang, Linna Guo, Yoshihiro Noguchi, Mayur Sarangdhar, Hui Gong, and Miao Yan have no conflicts of interest that are directly relevant to the content of this study.

Ethics Approval

No institutional ethics approval was required because this study utilized anonymized data from an open-access database.

Consent to Participate

Because all data in FAERS are anonymized, patient informed consent is not required.

Consent for Publication

Not applicable.

Data Availability

All data are publicly available on the website of AERSMine, a curated FAERS database: https://research.cchmc.org/aers/.

Code Availability

Not applicable.

Author Contributions

Conceptualization: MY, HG, SX; methodology: NY, ER, SX; formal analysis and investigation: SX, JTM; writing, original draft preparation: SX, JTM, ER; writing, review, and editing: SX, ER, NY, HG, MY; funding acquisition: MY; resources: MS, LG, BKZ; supervision: MY, HG.

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Xia, S., Ma, Jt., Raschi, E. et al. Tumor Lysis Syndrome with CD20 Monoclonal Antibodies for Chronic Lymphocytic Leukemia: Signals from the FDA Adverse Event Reporting System. Clin Drug Investig 43, 773–783 (2023). https://doi.org/10.1007/s40261-023-01308-0

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