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Emerging mechanisms and implications of c GAS-STING signaling in cancer immunotherapy strategies
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作者 Jiawen Zhang sihui yu +2 位作者 Qiao Peng Ping Wang Lan Fang 《Cancer Biology & Medicine》 SCIE CAS CSCD 2024年第1期45-64,共20页
The intricate interplay between the human immune system and cancer development underscores the central role of immunotherapy in cancer treatment.Within this landscape,the innate immune system,a critical sentinel prote... The intricate interplay between the human immune system and cancer development underscores the central role of immunotherapy in cancer treatment.Within this landscape,the innate immune system,a critical sentinel protecting against tumor incursion,is a key player.The cyclic GMP-AMP synthase(c GAS)and stimulator of interferon genes(STING)pathway has been found to be a linchpin of innate immunity:activation of this signaling pathway orchestrates the production of type I interferon(IFN-α/β),thus fostering the maturation,differentiation,and mobilization of immune effectors in the tumor microenvironment.Furthermore,STING activation facilitates the release and presentation of tumor antigens,and therefore is an attractive target for cancer immunotherapy.Current strategies to activate the STING pathway,including use of pharmacological agonists,have made substantial advancements,particularly when combined with immune checkpoint inhibitors.These approaches have shown promise in preclinical and clinical settings,by enhancing patient survival rates.This review describes the evolving understanding of the c GAS-STING pathway's involvement in tumor biology and therapy.Moreover,this review explores classical and non-classical STING agonists,providing insights into their mechanisms of action and potential for optimizing immunotherapy strategies.Despite challenges and complexities,the c GAS-STING pathway,a promising avenue for enhancing cancer treatment efficacy,has the potential to revolutionize patient outcomes. 展开更多
关键词 cGAS-STING pathway type I interferon cyclic dinucleotide STING agonist cancer immunotherapy
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常规MRI联合高清扩散加权成像在鼻咽-颅底骨髓炎和局部区域进展期鼻咽癌鉴别中的应用价值 被引量:4
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作者 王郑玥 林奈尔 +1 位作者 于思慧 沙炎 《中华放射学杂志》 CAS CSCD 北大核心 2023年第3期259-265,共7页
目的探讨基于常规MRI及高清扩散加权成像(DWI)在鼻咽-颅底骨髓炎(NP-SBO)和局部区域进展期鼻咽癌(LA-NPC)鉴别诊断中的价值。方法回顾性分析2017年1月至2021年10月复旦大学附属眼耳鼻喉科医院经病理证实的27例NP-SBO和32例LA-NPC患者。... 目的探讨基于常规MRI及高清扩散加权成像(DWI)在鼻咽-颅底骨髓炎(NP-SBO)和局部区域进展期鼻咽癌(LA-NPC)鉴别诊断中的价值。方法回顾性分析2017年1月至2021年10月复旦大学附属眼耳鼻喉科医院经病理证实的27例NP-SBO和32例LA-NPC患者。记录治疗前临床特征、常规MRI特征, 并测量表观扩散系数(ADC)值(ADC最大轮廓和ADC小圆)。DWI采用长可变回波链分段读出(RESOLVE)序列。MRI特征包括病灶的偏侧性、边缘、T1WI信号、T2WI信号、强化程度、强化均匀性、脓肿、鼻咽黏膜线的完整度、骨质髓腔受累、咽后及颈部淋巴结肿大情况以及其他伴随征象。采用独立样本t检验、χ^(2)检验或Fisher确切概率法比较NP-SBO组与LA-NPC组间各特征和ADC值的差异, 采用多因素logistic回归筛选出鉴别NP-SBO与LA-NPC的独立预测因素, 建立常规MRI模型、ADC模型及两者联合诊断模型。计算受试者操作特征曲线下面积(AUC), 采用DeLong检验比较模型间鉴别诊断NP-SBO与LA-NPC的效能。结果 NP-SBO组与LA-NPC组间年龄、糖尿病、颅神经受损、强化均匀性、脓肿、鼻咽黏膜线、淋巴结受累、ADC值差异有统计学意义(P<0.05)。多因素logistic回归分析结果显示ADC最大轮廓(OR为0.972, 95%CI 0.951~0.993, P=0.011)和常规MRI特征中的脓肿(OR为0.101, 95%CI 0.013~0.774, P=0.027)为鉴别NP-SBO和LA-NPC的独立预测因素。常规MRI模型(脓肿)、ADC模型(ADC最大轮廓)和两者联合模型鉴别NP-SBO与LA-NPC的AUC(95%CI)分别为0.634(0.499~0.756)、0.870(0.757~0.943)、0.925(0.829~0.979)。联合模型的AUC优于常规MRI模型(Z=4.77, P<0.001), 但与ADC模型比较差异无统计学意义(Z=1.87, P=0.062)。常规MRI模型的AUC低于ADC模型(Z=2.84, P=0.005)。结论常规MRI联合RESOLVE序列DWI可有效鉴别NP-SBO与LA-NPC, 尤其是脓肿联合病灶ADC最大轮廓值, 可进一步提高诊断效能。 展开更多
关键词 鼻咽肿瘤 骨髓炎 磁共振成像 表观扩散系数
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EULER APPROXIMATION FOR NONAUTONOMOUS MIXED STOCHASTIC DIFFERENTIAL EQUATIONS IN BESOV NORM
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作者 sihui yu Weiguo Liu 《Annals of Applied Mathematics》 2020年第4期426-441,共16页
We consider a kind of non-autonomous mixed stochastic differential equations driven by standard Brownian motions and fractional Brownian motions with Hurst index H ∈(1/2,1). In the sense of stochastic Besov norm with... We consider a kind of non-autonomous mixed stochastic differential equations driven by standard Brownian motions and fractional Brownian motions with Hurst index H ∈(1/2,1). In the sense of stochastic Besov norm with index γ, we prove that the rate of convergence for Euler approximation is O(δ^(2H-2γ)), here δ is the mesh of the partition of [0,T]. 展开更多
关键词 Brownian motion fractional Brownian motion Euler approximation rate of convergence Besov norm
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