Signal mining and risk analysis of tisotumab vedotin adverse events based on the FAERS database

Tisotumab vedotin (TV), the first antibody-drug conjugate (ADC) targeting tissue factor, was granted approval by the Food and Drug Administration (FDA) for the treatment of recurrent or metastatic cervical cancer. However, its adverse events (AE) are mainly recorded in clinical trials, lacking of real-world data. The FDA Adverse Event Reporting System database was searched retrospectively, and the TV-related AE reports from July 2021 to September 2024 were extracted. At the system organ class (SOC) level, only eye disorders (reporting odds ratio [ROR] = 11.53, proportional reporting ratio [PRR] = 9.53, information component [IC] = 3.25, and empirical bayes geometric mean [EBGM] = 9.53) and blood and lymphatic system disorders (ROR = 2.31, PRR = 2.26, IC = 1.18, and EBGM = 2.26) satisfied all four algorithms concurrently. The most common AE associated with TV is peripheral neuropathy (ROR = 23.03), while symblepharon (ROR = 1094.23) exhibited the strongest signal strength in the ROR algorithm. Notably, we identified several new signals, including cataract (ROR = 8.8) and Stevens-Johnson syndrome (ROR = 9.91). The median onset time for AEs was 21 days (interquartile range [IQR)]: 5-70 days), with the majority of AEs occurring within the first month of TV treatment. In addition to the AEs that are consistent with the instructions, we also identified some unreported signals. This discovery is expected to provide more precise guidance for the clinical application of TV.

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Publication Details

Journal
Scientific Reports
Published
2025-08-18
DOI
https://doi.org/10.1038/s41598-025-14710-9
Citations
2
Primary Topic
Pharmacovigilance and Adverse Drug Reactions
Type
article
Field-Weighted Citation Impact
2.61
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article

Signal mining and risk analysis of tisotumab vedotin adverse events based on the FAERS database

Qian Tang, Xueqin Yang, Yang Zhao, Juanjuan Li et al.
2 citations
Scientific Reports
Pharmacovigilance and Adverse Drug Reactions
2.61
article

Signal mining and risk analysis of tisotumab vedotin adverse events based on the FAERS database

Qian Tang, Xueqin Yang, Yang Zhao, Juanjuan Li, Juan Zheng, Mei Guo, Ting Yuan
article en
2 citations

Abstract

Tisotumab vedotin (TV), the first antibody-drug conjugate (ADC) targeting tissue factor, was granted approval by the Food and Drug Administration (FDA) for the treatment of recurrent or metastatic cervical cancer. However, its adverse events (AE) are mainly recorded in clinical trials, lacking of real-world data. The FDA Adverse Event Reporting System database was searched retrospectively, and the TV-related AE reports from July 2021 to September 2024 were extracted. At the system organ class (SOC) level, only eye disorders (reporting odds ratio [ROR] = 11.53, proportional reporting ratio [PRR] = 9.53, information component [IC] = 3.25, and empirical bayes geometric mean [EBGM] = 9.53) and blood and lymphatic system disorders (ROR = 2.31, PRR = 2.26, IC = 1.18, and EBGM = 2.26) satisfied all four algorithms concurrently. The most common AE associated with TV is peripheral neuropathy (ROR = 23.03), while symblepharon (ROR = 1094.23) exhibited the strongest signal strength in the ROR algorithm. Notably, we identified several new signals, including cataract (ROR = 8.8) and Stevens-Johnson syndrome (ROR = 9.91). The median onset time for AEs was 21 days (interquartile range [IQR)]: 5-70 days), with the majority of AEs occurring within the first month of TV treatment. In addition to the AEs that are consistent with the instructions, we also identified some unreported signals. This discovery is expected to provide more precise guidance for the clinical application of TV.

Scientific ReportsVol. 15(1)
Taiyuan Central Hospital (CN), Jingzhou Central Hospital (CN)
Openalex Percentile: Top 11%
Pharmacovigilance and Adverse Drug Reactions
2.61
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Signal mining and risk analysis of tisotumab vedotin adverse events based on the FAERS database — Qian Tang, Xueqin Yang, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS