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Analysis of characteristics and predictive factors of immune checkpoint inhibitor-related adverse events 被引量:8
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作者 Rilan Bai Naifei Chen +8 位作者 Xiao Chen Lingyu Li Wei Song Wei Li Yuguang Zhao Yongfei Zhang fujun han Zheng Lyu Jiuwei Cui 《Cancer Biology & Medicine》 SCIE CAS CSCD 2021年第4期1118-1133,共16页
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 checkpo... 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=0.175×10^(9)/L)were significantly associated with the occurrence of irAEs,among which a higher AEC(cutoff=0.205×10^(9)/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. 展开更多
关键词 NEOPLASM immune checkpoint inhibitors immune-related adverse events PREDICTOR efficacy
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Containment Control of Fractional Order Multi-Agent Systems With Time Delays 被引量:8
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作者 Hongyong Yang Fuyong Wang fujun han 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2018年第3期727-732,共6页
In complex environments, many distributed multiagent systems are described with the fractional-order dynamics.In this paper, containment control of fractional-order multiagent systems with multiple leader agents are s... In complex environments, many distributed multiagent systems are described with the fractional-order dynamics.In this paper, containment control of fractional-order multiagent systems with multiple leader agents are studied. Firstly,the collaborative control of fractional-order multi-agent systems(FOMAS) with multiple leaders is analyzed in a directed network without delays. Then, by using Laplace transform and frequency domain theorem, containment consensus of networked FOMAS with time delays is investigated in an undirected network, and a critical value of delays is obtained to ensure the containment consensus of FOMAS. Finally, numerical simulations are shown to verify the results. 展开更多
关键词 Containment control FRACTIONAL-ORDER multiagent systems time delays
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