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肿瘤细胞和免疫细胞PD-1在早期肺腺癌中的表达及其预后价值
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作者 李家康 李余发 +9 位作者 魏雪武 邓嘉怡 杨潇蓉 揭光灵 钟日威 杨明意 罗伟池 许静妍 徐崇锐 周清 《循证医学》 2022年第6期364-374,共11页
目的既往关于肿瘤细胞程序性死亡配体1(programmed cell death⁃ligand 1,PD⁃L1)的分子机制及其临床价值已经被广泛探索,而关于肿瘤细胞及免疫细胞程序性细胞死亡1(programmed cell death⁃1,PD⁃1)的研究仍然缺乏,本文旨在探究早期肺腺癌... 目的既往关于肿瘤细胞程序性死亡配体1(programmed cell death⁃ligand 1,PD⁃L1)的分子机制及其临床价值已经被广泛探索,而关于肿瘤细胞及免疫细胞程序性细胞死亡1(programmed cell death⁃1,PD⁃1)的研究仍然缺乏,本文旨在探究早期肺腺癌患者肿瘤组织中免疫细胞、肿瘤细胞PD⁃1蛋白表达及其与临床病理特征、复发风险的相关性。方法本研究纳入2010年4月至2021年6月于广东省人民医院就诊的早期肺腺癌患者,并用免疫组化方法对石蜡包埋肿瘤组织上的肿瘤细胞及其周围免疫细胞进行PD⁃1蛋白表达检测。结果本研究共纳入446例早期肺腺癌患者,肿瘤细胞PD⁃1阳性率为2.2%(10/446),免疫细胞PD⁃1阳性率为18.2%(81/446)。二元logistics回归分析结果显示:免疫细胞PD⁃1阳性表达在吸烟患者(对比非吸烟者)中更常见[比值比(odds ratio,OR)2.059,95%可信区间(confidence interval,CI)1.138~3.723,P<0.05],肿瘤细胞PD⁃1阳性表达在Ⅲ期(对比Ⅰ期)的患者中更常见(OR:45.92,95%CI 5.616~375.507,P<0.05),并且肿瘤细胞PD⁃1表达与免疫细胞PD⁃1表达之间呈正相关(r=0.58,P<0.05)。Kaplan⁃Meier生存分析显示,肿瘤细胞PD⁃1阳性患者复发风险更高[风险比(hazard ratio,HR)6.5,95%CI 1.227~34.590,无病生存率(disease⁃free survival,DFS):P<0.05],免疫细胞PD⁃1表达与复发风险无关(DFS:P=0.26)。结论肿瘤细胞PD⁃1阳性表达可能是早期肺腺癌患者术后的不良预后因子。 展开更多
关键词 程序性细胞死亡⁃1 早期肺腺癌 复发风险
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Theoretical Investigation on QSAR of(2-Methyl-3-biphenylyl)methanol Analogs as PD-L1 Inhibitor 被引量:4
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作者 Abdulla Al Mamun Zheng Mei +1 位作者 Ling Qiu Xue-hai Jua 《Chinese Journal of Chemical Physics》 SCIE CAS CSCD 2020年第4期459-467,I0001,I0002,共11页
Cancer is one of the most serious issues in human life.Blocking programmed cell death protein 1 and programmed death ligand-1(PD-L1)pathway is one of the great innovations in the last few years,a few numbers of inhibi... Cancer is one of the most serious issues in human life.Blocking programmed cell death protein 1 and programmed death ligand-1(PD-L1)pathway is one of the great innovations in the last few years,a few numbers of inhibitors can be able to block it.(2-Methyl-3-biphenylyl)methanol derivative is one of them.Here,the quantitative structure-activity relationship(QSAR)established twenty(2-methyl-3-biphenylyl)methanol derivatives as the programmed death ligand-1 inhibitors.Density functional theory at the B3LPY/6-31+G(d,p)level was employed to study the chemical structure and properties of the chosen compounds.Highest occupied molecular orbital energy EHOMO,lowest unoccupied molecular orbital energy ELUMO,total energy ET,dipole moment DM,absolute hardnessη,absolute electronegativityχ,softness S,electrophilicityω,energy gap?E,etc.,were observed and determined.Principal component analysis(PCA),multiple linear regression(MLR)and multiple nonlinear regression(MNLR)analysis were carried out to establish the QSAR.The proposed quantitative models and interpreted outcomes of the compounds were based on statistical analysis.Statistical results of MLR and MNLR exhibited the coefficient R^2 was 0.661 and 0.758,respectively.Leave-one-out cross-validation,r_m^2 metric,r_m^2 test,and"Golbraikh&Tropsha’s criteria"analyses were applied for the validation of MLR and MNLR,which indicate two models are statistically significant and well stable with data variation in the external validation towards PD-L1.The obtained results showed that the MNLR model predicts the bioactivity more accurately than MLR,and it may be helpful and supporting for evaluation of the biological activity of PD-L1 inhibitors. 展开更多
关键词 Quantitative structure-activity relationship 2-Methyl-3-biphenylyl methanol derivatives Programmed death ligand-1 inhibitor Density functional theory
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