SynthesisJournal for immunotherapy of cancer2025
Identification of conserved immune-related adverse event risk factors and clinical outcomes in a pan-immunotherapy data mart.
Synthesis in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative efficacy and safety of first-line treatments for advanced hepatocellular carcinoma: a Bayesian network meta-analysis.Frontiers in immunology · 2026Pooled it
- The toxicity profile and temporal dynamics of dual PD-1/CTLA-4 immune checkpoint blockade: a real-world pharmacovigilance study using the FAERS database.Frontiers in immunology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer immunotherapy (CIT) often triggers immune-related adverse events (irAEs). Analysis of irAEs in large checkpoint inhibitor (CPI) trials has enhanced their management and demonstrated their prognostic value for treatment outcome. However, data on irAEs in non-standard CITs are limited, and systematic exploration is lacking. Identifying predictive biomarkers for irAEs in these therapies is still emerging and essential for improving patient care.
methodsWe established a harmonized data mart from 27 early-phase CIT trials, encompassing 14 molecules with diverse mechanisms across various cancer indications. This dataset includes 3,608 patients, both CPI-naïve and CPI-experienced, with detailed information on clinical data, tumor characteristics, soluble biomarkers, and genome-wide genotyping. We examined the occurrence of different irAEs and CIT molecules concerning incidence, severity, and onset. A meta-analysis was conducted to assess the association between risk factors and the time to onset of irAEs. Finally, we explored the predictive value of irAEs for clinical outcomes, specifically measured by progression-free survival (PFS).
resultsOur analysis reveals significant variation in irAE incidence and kinetics across CIT molecules. Common irAEs include hepatitis, rash, acute kidney injuries, and hypothyroidism, with hepatitis often severe and others mild. Hepatitis is frequently associated with immunocytokine treatment, while T-cell bispecifics are linked to organ-specific toxicities. Hepatic metastases correlate with hepatitis but inversely with rash; elevated liver enzymes are associated with hepatitis, and high ferritin levels with acute kidney injury risk. Higher myeloid cell counts are associated with reduced rash likelihood. No tumor microenvironment associations were found, and polygenic risk scores show limited utility in our setting. Rash correlates with improved outcomes, whereas hepatitis is associated with a poorer prognosis, independent of baseline prognostic state assessed by the Real World Prognostic score.
conclusionsThese findings highlight the complexity of immune toxicities in early-phase trials, emphasizing the importance of the CIT class, as well as the roles of tumor burden, metastasis sites, and systemic immune state in the development of irAEs. Additionally, the observed association between skin toxicities and improved PFS suggests that skin toxicity could serve as a marker of systemic immune activation across immunotherapy contexts.
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