Table · dataset · 2026
<p>FAERS de-duplicated event-level analytic dataset.</p>
Listed in figshare
<div> <p>Background</p><p>Entrectinib is effective for ROS1-positive non-small cell lung cancer (NSCLC), but its postmarketing safety profile remains incompletely characterized outside clinical trials.
Description
We conducted a dual-database pharmacovigilance study to characterize real-world reporting patterns, identify cross-database replicated adverse event signals, explore age- and sex-related reporting heterogeneity, and evaluate time-to-onset patterns.</p> <p>Methods</p><p>Reports were retrieved from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS; 2020Q1–2025Q4; 520 patients; 1,573 preferred-term [PT] events) and the Japanese Adverse Drug Event Report database (JADER; 2020Q1–2025Q3; 254 patients; 393 PT events).
Molecular fusion status was not available for verification. Four disproportionality methods were applied, with reporting odds ratio (ROR) as the primary signal criterion.</p> <p>Results</p><p>At the system organ class level, shared positive signals involved nervous system disorders (FAERS/JADER ROR: 4.48/4.76), cardiac disorders (3.20/5.43), and renal and urinary disorders (2.04/3.92). At the PT level, 23 signals were detected in both databases, whereas 58 PTs were unique to FAERS and 8 to JADER.
Read the rest (3 more)
Representative shared PT signals included dizziness (12.94/14.33), taste disorder (38.03/13.28), renal impairment (6.89/8.18), blood creatinine increased (8.31/24.99), cardiac failure (7.57/8.90), cognitive disorder (18.04/78.29), ataxia (51.73/351.45), syncope (8.87/89.45), myocarditis (3.47/5.91), electrocardiogram QT prolonged (4.01/5.35), and hyperuricaemia (7.36/59.63). Subgroup analyses suggested exploratory age- and sex-related reporting heterogeneity, including relatively more renal and mobility-related reports in older patients and female predominance for ataxia in FAERS.
In the FAERS-based time-to-onset analysis, 203 of 520 reports (39.0%) had valid onset data. The median time to onset was 13 days, 70.94% of evaluable reports had onset dates within 30 days, and Weibull analysis suggested an early-failure pattern.</p> <p>Conclusions</p><p>Entrectinib-associated reports in NSCLC showed reproducible neurologic, cardiac, renal, and laboratory-related disproportional reporting signals across FAERS and JADER.
These findings may help prioritize early safety monitoring but should be interpreted as hypothesis-generating signals rather than evidence of incidence or causality.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0358331.s009 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Biochemistry and cell biology · Cancer · Chemistry · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Genetics · Humanities · Infectious diseases · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Research, science and technology policy · Social Science
- Inferred from text
- Heart 65%
Provenance · 1 source records, 22 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/33811144 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[anatomy].local:anatomy:heart | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[disease].local:disease:cancer | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Cancer'] |
| concepts[field].anzsrc:field:320211 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Infectious Diseases'] |
| concepts[field].anzsrc:field:440710 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Science Policy'] |
| concepts[field].anzsrc:group:3101 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:3105 | mapping · figshare com | vocabulary-mapper@1.0.0 | keywords['Genetics'] |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |