Psychiatric adverse reactions to non-selective RET multi-kinase inhibitors: a large-scale pharmacovigilance analysis

Gastrointestinal adverse events associated with Lenvatinib versus Lenvatinib plus Pembrolizumab: A pharmacovigilance study in FDA adverse event reporting system

This study aimed to empirically analyze gastrointestinal adverse events associated with Lenvatinib monotherapy and its combination with Pembrolizumab using FDA FAERS data (January 2015-December 2023), focusing on risk profiles, temporal patterns, and influencing factors. Proportional disproportionality analysis (ROR, PRR, BCPNN, EBGM) evaluated drug-AE associations. Kaplan-Meier curves characterized temporal distributions, while Wilcoxon rank-sum test compared median time-to-onset between regimens. Univariate logistic regression identified independent risk factors. A total of 291 severe gastrointestinal AEs reports were included. The gastrointestinal system had the most positive AE signals in both treatment groups. Perforation events showed strong positive signals in both regimens, while haemorrhage and fistula events were unique positive signals in the lenvatinib monotherapy group. In contrast, colitis and pancreatitis positive signals were more common in the combination therapy group. Most gastrointestinal AEs in both groups occurred within the first month of treatment. The monotherapy group had a significantly shorter median onset time than the combination therapy group (27 days vs. 38 days, P = 0.003). Logistic regression indicated that female sex (OR = 0.195, P = 0.022) and low-dose medication (OR = 0.240, P = 0.049) were independent protective factors for gastrointestinal AEs in the monotherapy group. This first comprehensive comparison reveals distinct gastrointestinal toxicity profiles: monotherapy predisposes to acute bleeding/fistulas, while combination therapy increases delayed tumor-related complications. Intensive monitoring during the first treatment month and gender/dosage-adjusted prevention strategies are recommended. These findings provide evidence-based insights for optimizing safety management of targeted-immunotherapy combinations.

Antibody-drug conjugates-related interstitial lung diseases: data mining of the FAERS database

BACKGROUND

Interstitial lung diseases (ILD) is a serious adverse event (AE) associated with antibody-drug conjugates (ADCs). This study aims to delve deeply into the signals of AE associated with ILD linked to ADCs.

RESEARCH DESIGN AND METHODS

The AE reports were extracted from the first quarter of 2004 to the fourth quarter of 2023 based on the FDA Adverse Event Reporting System (FAERS) database. Signal mining was performed using the reporting odds ratio (ROR) method and the multi-item gamma Poisson shrinker (MGPS) method. Data management, analysis, and visualization were carried out using Python, R software, and MySQL.

RESULTS

A total of 1389 AE reports related to ILD with 11 types of ADCs as the primary suspected drugs were obtained. The age groups most represented were 61-80 age group. ILD-related AE signals were detected for 11 ADCs in the study. Trastuzumab deruxtecan showed the strongest signals in both for ROR and MGPS methods. The median onset time vary from 8 days to 207 days.

CONCLUSIONS

The signals of ILD AE associated with ADCs are notably strong. ILD should be closely monitored and assessed in the clinical use of ADCs taking full account of the efficacy and risks of these drugs.

A real-world pharmacovigilance study of FDA adverse event reporting system (FAERS) events for sunitinib

Background

Sunitinib is approved for the treatment of metastatic renal cell carcinoma (mRCC), imatinib-resistant gastrointestinal stromal tumors (GIST), and advanced pancreatic neuroendocrine tumors (PNET). This study aims to investigate the safety profiles of sunitinib through data mining of the US Food and Drug Administration Adverse Event Reporting System (FAERS).

Methods

The individual case safety reports (ICSRs) on sunitinib from 2006 Q1 to 2024 Q1 were collected from the ASCII data packages in the Food and Drug Administration Adverse Event Reporting System (FAERS). After standardizing the data, a variety of disproportionality analyses, including the reporting odds ratio (ROR), the proportional reporting ratio (PRR), the bayesian confidence propagation neural network (BCPNN), and the multi-item gamma Poisson shrinker (MGPS) were employed to identify the potential safety signals of sunitinib-associated AEs.

Results

A total of 35,923 ICSRs of sunitinib as the "primary suspected" drug were identified within the reporting period. The search detected 276 disproportionate preferred terms (PTs). The most common AEs, including diarrhea, asthenia, decreased appetite, hypertension, and dysgeusia, were consistent with the drug label and clinical trials. Unexpected significant AEs, such as uveal melanocytic proliferation, salivary gland fistula, yellow skin, eyelash discoloration, scrotal inflammation, were detected. The median onset time of sunitinib-related AEs was 57 days (interquartile range [IQR]16-170 days), with most of the ICSRs developing within the first month (n = 4,582, 39.73%) after sunitinib therapy as initiated.

Conclusion

The results of our study were consistent with routine clinical observations, and some unexpected AEs signals were also identified for sunitinib, providing valuable evidence for the safe use of sunitinib in the real-world and contributing to the clinical monitoring and risk identification of sunitinib.

Novel insights into post-marketing adverse events associated with lenvatinib: A comprehensive analysis utilizing the FAERS database

Purpose

The primary aim of this study was to closely monitor and identify adverse events (AEs) linked to lenvatinib, a pharmacotherapeutic agent employed for the management of renal cell carcinoma, thyroid cancer, and hepatocellular carcinoma. The ultimate goal was to optimize patient safety and provide evidence-based guidance for the appropriate utilization of this medication.

Methods

A comprehensive collection and analysis of reports from the FDA Adverse Event Reporting System (FAERS) database was conducted, encompassing the period from the first quarter of 2015 to the first quarter of 2023. Disproportionality analysis, employing robust algorithms including ROR, PRR, BCPNN, and EBGM was employed for effective data mining to quantify signals associated with lenvatinib-related AEs.

Results

Among the collected reports, a total of 15,193 cases were identified where lenvatinib was the "primary suspected (PS)" drug, resulting in 50,508 lenvatinib-induced AEs. An analysis was conducted to examine the occurrence of lenvatinib-induced adverse drug reactions (ADRs) across 26 organ systems. The findings revealed the presence of expected ADRs, including diarrhea, vomiting, stomatitis, hepatic encephalopathy, decreased appetite, dehydration, decreased weight, and electrolyte imbalances, which were consistent with the information provided in the drug labels. Furthermore, unexpected significant ADRs were observed at the preferred terms (PT) level, such as interstitial lung disease, pneumothorax, hypophysitis, failure to thrive, polycythemia, hypopituitarism, spontaneous pneumothorax, pulmonary cavitation, and limbic encephalitis. These findings indicated the potential occurrence of adverse effects that are currently not documented in the drug instructions.

Conclusions

This study has successfully detected novel and unforeseen signals pertaining to ADRs associated with the administration of lenvatinib, thereby contributing significant insights into the intricate correlation between ADRs and the utilization of lenvatinib. The outcomes of this investigation underscore the utmost significance of continuous monitoring and vigilant surveillance in order to promptly identify and effectively manage AEs, consequently enhancing overall patient safety and well-being in the context of lenvatinib therapy.