Data mining and safety analysis of FGFR tyrosine kinase inhibitors based on the FAERS database
Abstract Fibroblast growth factor receptor tyrosine kinase inhibitors (FGFR-TKIs), including erdafitinib, pemigatinib, and futibatinib, are a promising class of therapies for FGFR-driven cancers. While their efficacy is established in clinical trials, real-world safety data remain limited. This stud...
Saved in:
| Main Authors: | Ping Li, Liming Wu, Zhihui Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-11411-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Signal detection and safety analysis of three tyrosine kinase inhibitors for HER-2 positive breast cancer: a retrospective study based on the FAERS database
by: Xiting Tang, et al.
Published: (2025-03-01) -
Signal mining and analysis of ripretinib adverse events: a real-world pharmacovigilance analysis based on the FAERS database
by: Ye Hu, et al.
Published: (2025-02-01) -
Disproportionality analysis of oesophageal toxicity associated with oral bisphosphonates using the FAERS database (2004–2023)
by: Lin Chen, et al.
Published: (2024-11-01) -
Adverse event reporting of faricimab: a disproportionality analysis of FDA adverse event reporting system (FAERS) database
by: Chang-Zhu He, et al.
Published: (2025-03-01) -
Hematological toxicities in PARP inhibitors: A real‐world study using FDA adverse event reporting system (FAERS) database
by: Yamin Shu, et al.
Published: (2023-02-01)