1. Analysis of characteristics and predictive factors of immune checkpoint inhibitor-related adverse events.
- Author
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Rilan Bai, Naifei Chen, Xiao Chen, Lingyu Li, Wei Song, Wei Li, Yuguang Zhao, Yongfei Zhang, Fujun Han, Zheng Lyu, and Jiuwei Cui
- Subjects
THERAPEUTIC use of antineoplastic agents ,DRUG efficacy ,BIOMARKERS ,BIOCHEMISTRY ,REFERENCE values ,DISEASE progression ,EOSINOPHILS ,STATISTICS ,IMMUNE checkpoint inhibitors ,ACADEMIC medical centers ,CONFIDENCE intervals ,B cells ,ACQUISITION of data methodology ,MULTIPLE regression analysis ,MULTIVARIATE analysis ,ANTINEOPLASTIC agents ,RETROSPECTIVE studies ,GOODNESS-of-fit tests ,DISEASE incidence ,CREATINE kinase ,RISK assessment ,CANCER patients ,SERUM albumin ,SEVERITY of illness index ,SYMPTOMS ,RESEARCH funding ,KAPLAN-Meier estimator ,LACTATE dehydrogenase ,MEDICAL records ,DRUG therapy ,DESCRIPTIVE statistics ,IMMUNOLOGIC diseases ,TUMORS ,BLOOD cell count ,RECEIVER operating characteristic curves ,ODDS ratio ,DRUG eruptions ,T cells ,LOGISTIC regression analysis ,PREDICTION models ,DATA analysis software ,DRUG side effects ,STATISTICAL correlation ,IMMUNOTHERAPY ,PROPORTIONAL hazards models ,LYMPHOCYTE count ,DISEASE risk factors ,THERAPEUTICS ,EVALUATION - Abstract
Objective: We aimed to retrospectively analyze the toxicity profiles and predictors of immune-related adverse events (irAEs) as well as the correlation between irAEs and the clinical efficacy of multi-type immune checkpoint inhibitors (ICIs) in patients with advanced pan-cancer in a real-world setting. Methods: We retrospectively analyzed data from 105 patients with advanced pan-cancer treated with multi-type ICIs at the First Hospital of Jilin University between January 1, 2016 and August 1, 2020. We used logistic regression analyses to investigate the associations of irAEs with clinical baseline characteristics, blood count parameters, and biochemical indicators during treatment. Receiver operating characteristic curves were used to determine cutoff values for parameters and area under the curve values. Kaplan--Meier and Cox multivariate regression analyses were performed to estimate the relationships of baseline characteristics and irAEs with progression-free survival (PFS) and overall survival (OS). Results: A lower relative lymphocyte count (cutoff = 28.5%), higher albumin level (cutoff = 39.05 g/L), and higher absolute eosinophil count (AEC) (cutoff = 0.175 x 10
9 /L) were significantly associated with the occurrence of irAEs, among which a higher AEC (cutoff = 0.205 x 109 /L) was strongly associated with skin-related irAEs [odds ratios (ORs) = 0.163, P = 0.004]. Moreover, a higher lactate dehydrogenase level (cutoff = 237.5 U/L) was an independent predictor of irAEs of grade ≥ 3 (OR = 0.083, P = 0.023). In immune cell subgroup analysis, a lower absolute count of CD8+ CD28- suppressor T cells (OR = 0.806; 95% confidence interval: 0.643--1.011; P = 0.062), which are regulatory T lymphocytes, was associated with the occurrence of irAEs, although the difference was not statistically significant. Furthermore, a higher percentage of CD19+ B cells was associated with the occurrence of irAEs of grade ≥ 3 (P = 0.02) and grade ≥ 2 (P = 0.051). In addition, patients with any grade of irAE had a significantly high PFS (8.37 vs. 3.77 months, hazard ratios (HR) = 2.02, P = 0.0038) and OS (24.77 vs. 13.83 months, HR = 1.84; P = 0.024). Conclusions: This retrospective study reports clinical profile data for irAEs in unselected patients in a real-world setting and explored some parameters that may be potential predictive markers of the occurrence, type, or grade of irAEs in clinical practice. Evidence of a correlation between safety and efficacy may facilitate a complete assessment of the risk-benefit ratio for patients treated with ICIs. [ABSTRACT FROM AUTHOR]- Published
- 2021
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