Pharmacovigilance insights into antibody–drug conjugates: a multi-database analysis of adverse events in leukemia treatment

Gemtuzumab ozogamicin and inotuzumab ozogamicin play a crucial role in leukemia treatment. This study aims to explore multiple databases to identify adverse event (AE) signals that could enhance the safe use of these drugs. The FDA Adverse Event Reporting System (FAERS) database ASCII packages, covering 83 quarters from Q1 2004 to Q3 2024, were imported into SAS software (version 9.4) for data cleaning and analysis. Signal detection methods included the ROR, PRR, BCPNN and MGPS. The Japanese Adverse Drug Event Report database (JADER) and WHO Adverse Drug Event Report database (VigiAccess) were used to validate the results. In FAERS and VigiAccess, the most frequent positive PT signal for gemtuzumab ozogamicin was ‘febrile neutropenia.’ In FAERS, the most frequent positive PT signal for inotuzumab ozogamicin was ‘death.’ The top five PTs with the highest signal intensity for both drugs across the three databases consistently included ‘fibrin degradation products increased’ and ‘veno-occlusive liver disease.’ Mining multiple databases enabled the identification of SOCs and AEs strongly associated with frequent adverse reactions to gemtuzumab ozogamicin and inotuzumab ozogamicin, offering valuable insights for clinical dosing guidance.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29329655
Primary Topic
HER2/EGFR in Cancer Research
Type
article
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0.00
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article

Pharmacovigilance insights into antibody–drug conjugates: a multi-database analysis of adverse events in leukemia treatment

Figshare
HER2/EGFR in Cancer Research
article

Pharmacovigilance insights into antibody–drug conjugates: a multi-database analysis of adverse events in leukemia treatment

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Abstract

Gemtuzumab ozogamicin and inotuzumab ozogamicin play a crucial role in leukemia treatment. This study aims to explore multiple databases to identify adverse event (AE) signals that could enhance the safe use of these drugs. The FDA Adverse Event Reporting System (FAERS) database ASCII packages, covering 83 quarters from Q1 2004 to Q3 2024, were imported into SAS software (version 9.4) for data cleaning and analysis. Signal detection methods included the ROR, PRR, BCPNN and MGPS. The Japanese Adverse Drug Event Report database (JADER) and WHO Adverse Drug Event Report database (VigiAccess) were used to validate the results. In FAERS and VigiAccess, the most frequent positive PT signal for gemtuzumab ozogamicin was ‘febrile neutropenia.’ In FAERS, the most frequent positive PT signal for inotuzumab ozogamicin was ‘death.’ The top five PTs with the highest signal intensity for both drugs across the three databases consistently included ‘fibrin degradation products increased’ and ‘veno-occlusive liver disease.’ Mining multiple databases enabled the identification of SOCs and AEs strongly associated with frequent adverse reactions to gemtuzumab ozogamicin and inotuzumab ozogamicin, offering valuable insights for clinical dosing guidance.

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HER2/EGFR in Cancer Research
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Pharmacovigilance insights into antibody–drug conjugates: a multi-database analysis of adverse events in leukemia treatment · Figshare (2025) | TGRS Research Map | TGRS