학술논문

Pre‐treatment comorbidities, C‐reactive protein and eosinophil count, and immune‐related adverse events as predictors of survival with checkpoint inhibition for multiple tumour entities.
Document Type
Article
Source
Cancer Medicine. Jun2023, Vol. 12 Issue 11, p12253-12262. 10p.
Subject
*DRUG side effects
*IPILIMUMAB
*C-reactive protein
*EOSINOPHILS
*NON-small-cell lung carcinoma
*CANCER patients
Language
ISSN
2045-7634
Abstract
Background: The development of immune‐related adverse events (irAEs) may be associated with clinical efficacy of checkpoint inhibitors (CPIs) in patients with cancer. We therefore investigated the effect of irAEs and pre‐treatment parameters on outcome in a large, real‐life patient cohort. Methods: We performed a single‐centre, retrospective, observational study including patients who received CPIs from 2011 to 2018 and followed until 2021. The primary outcome was overall survival, and the secondary outcome was the development of irAEs. Results: In total, 229 patients with different tumour entities (41% non‐small cell lung cancer [NSCLC], 29% melanoma) received a total of 282 CPI treatment courses (ipilimumab, nivolumab, pembrolizumab or atezolizumab). Thirty‐four percent of patients developed irAEs (of these 17% had CTCAE Grade ≥3). Factors independently associated with mortality were pre‐treatment CRP ≥10 mg/L (hazard ratio [HR] 2.064, p = 0.0003), comorbidity measured by Charlson comorbidity index (HR 1.149, p = 0.014) and irAEs (HR 0.644, p = 0.036) (age‐adjusted, n = 216). Baseline eosinophil count ≤0.2 × 109/L was a further independent predictor of mortality (age‐, CRP‐, CCI‐ and irAE‐adjusted HR = 2.252, p = 0.002, n = 166). Anti‐CTLA‐4 use (p < 0.001), and pre‐treatment CRP <10 mg/L were independently associated with irAE occurrence (p = 0.037). Conclusions: We found an independent association between irAE occurrence and improved overall survival in a real‐life cohort spanning multiple tumour entities and treatment regimens. Pre‐treatment comorbidities, CRP and eosinophil count represent potential markers for predicting treatment response. [ABSTRACT FROM AUTHOR]