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驱动基因阳性且PD-L1高表达的非小细胞肺癌患者病理特征及靶向治疗疗效评估的真实世界研究 被引量:9
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作者 张卉 杨新杰 +11 位作者 李琨 王敬慧 吕嘉林 李曦 张新勇 秦娜 张权 吴羽华 马丽 盖飞 胡瑛 张树才 《中国肺癌杂志》 CAS CSCD 北大核心 2021年第2期78-87,共10页
背景与目的驱动基因突变阳性患者行靶向治疗,驱动基因阴性但程序性死亡配体1(programmed death-ligand 1,PD-L1)高表达患者行免疫抑制剂治疗,是晚期非小细胞肺癌(non-small cell lung cancer,NSCLC)患者一线治疗的首选,但对于驱动基因... 背景与目的驱动基因突变阳性患者行靶向治疗,驱动基因阴性但程序性死亡配体1(programmed death-ligand 1,PD-L1)高表达患者行免疫抑制剂治疗,是晚期非小细胞肺癌(non-small cell lung cancer,NSCLC)患者一线治疗的首选,但对于驱动基因阳性且PD-L1高表达患者的治疗选择仍值得探究。方法以315例NSCLC患者为研究对象,分析驱动基因阳性且PD-L1高表达患者的临床病理特征及靶向治疗疗效。结果本研究纳入的315例NSCLC患者中,驱动基因突变总阳性率为62.2%,PD-L1高表达率(≥50.0%)为11.2%,驱动基因阳性且PD-L1高表达的患者比例为10.7%。其中表皮生长因子受体(epidermal growth factor receptor,EGFR)突变、KRAS突变、ALK融合、BRAF突变和MET 14外显子跳跃突变患者中均有PD-L1高表达,比例分别为7.8%(11/141)、18.2%(4/22)、23.1%(3/13)、50.0%(2/4)和100.0%(1/1)。EGFR突变且PD-L1高表达患者主要为IV期肺腺癌患者,KRAS突变且PD-L1高表达患者主要为有吸烟史的患者。其中详细跟踪了两例分别为ALK融合阳性且PD-L1高表达(90.0%)和EGFR L858R突变且PD-L1高表达(70.0%)患者的靶向治疗全过程,两例患者总生存期分别仅为5个月和2个月。结论NSCLC患者各驱动基因突变与PD-L1高表达共存的比例和临床病理特征有较大差异。发生敏感突变且PD-L1高表达的患者靶向治疗疗效和预后可能更差。 展开更多
关键词 肺肿瘤 驱动基因 程序性死亡配体1 靶向治疗
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miR-137 inhibits melanoma cell proliferation through downregulation of GLO1 被引量:8
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作者 Na Lv Shuai Hao +8 位作者 Chonglin Luo Alia Abukiwan Ying Hao fei gai Weiwei Huang Lingyun Huang Xueyuan Xiao Stefan B.Eichmüller Dacheng He 《Science China(Life Sciences)》 SCIE CAS CSCD 2018年第5期541-549,共9页
Late-stage melanoma is refractory to current therapies. MicroRNAs (miRNAs) can modulate many physiological and pathological processes of melanoma. Studies have demonstrated that miR-137 acts as a tumor suppressor by i... Late-stage melanoma is refractory to current therapies. MicroRNAs (miRNAs) can modulate many physiological and pathological processes of melanoma. Studies have demonstrated that miR-137 acts as a tumor suppressor by inhibiting the proliferation of melanoma cells through targeting multiple mRNAs. The glyoxalase system member glyoxalase 1 (GLO1) is the principal scavenging enzyme of methylglyoxal (MG), a toxic byproduct of glycolysis. Using 35S in vivo/vitro labelling analysis for dynamic proteomics (SiLAD), we found that miR-137 downregulated the expression of GLO1 in melanoma cells.Bioinformatics analysis predicted that GLO1 is a direct target of miR-137. This was validated by dual luciferase reporter assay.Quantitative RT-PCR (qRT-PCR) and western blot analysis indicated that miR-137 could decrease endogenous GLO1 expression.Furthermore, siRNA targeting of GLO1 mimicked inhibition of melanoma cell proliferation caused by miR-137 overexpression.Re-expression of GLO1 was able to restore miR-137-mediated suppression of melanoma cell proliferation. Therefore, these results suggest that miR-137 inhibits the proliferation of melanoma cells by targeting GLO1. 展开更多
关键词 melanoma miR-137 SiLAD GLO1 cell proliferation
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Correlation of circulating tumor DNA EGFR mutation levels with clinical outcomes in patients with advanced lung adenocarcinoma
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作者 Xiang-Liang Liu Ri-Lan Bai +10 位作者 Xiao Chen Yu-Guang Zhao Xu Wang Ke-Wei Ma Hui-Min Tian Fu-Jun Han Zi-Ling Liu Lei Yang Wei Li fei gai Jiu-Wei Cui 《Chinese Medical Journal》 SCIE CAS CSCD 2021年第20期2430-2437,共8页
Background:Circulating tumor DNA(ctDNA)is a promising biomarker for non-invasive epidermal growth factor receptor mutations(EGFRm)detection in lung cancer patients,but existing methods have limitations in sensitivity ... Background:Circulating tumor DNA(ctDNA)is a promising biomarker for non-invasive epidermal growth factor receptor mutations(EGFRm)detection in lung cancer patients,but existing methods have limitations in sensitivity and availability.In this study,we used theΔCt value(mutant cycle threshold[Ct]value-internal control Ct value)generated during the polymerase chain reaction(PCR)assay to convert super-amplification-refractory mutation system(superARMS)from a qualitative method to a semi-quantitative method named reformed-superARMS(R-superARMS),and evaluated its performance in detectingEGFRm in plasma ctDNA in patients with advanced lung adenocarcinoma.Methods:A total of 41 pairs of tissues and plasma samples were obtained from lung adenocarcinoma patients who had knownEGFRm in tumor tissue and were previously untreated.EGFRm in ctDNA was identified by using superARMS.Through making use ofΔCt value generated during the detection process of superARMS,we indirectly transform this qualitative detection method into a semi-quantitative PCR detection method,named R-superARMS.Both qualitative and quantitative analyses of the data were performed.Kaplan-Meier analysis was performed to estimate the progression-free survival(PFS)and overall survival(OS).Fisher exact test was used for categorical variables.Results:The concordance rate ofEGFRm in tumor tissues and matched plasma samples was 68.3%(28/41).At baseline,EGFRm-positive patients were divided into two groups according to the cut-offΔCt value ofEGFRm set at 8.11.A significant difference in the median OS(mOS)between the two groups was observed(EGFRmΔCt≤8.11vs.>8.11:not reachedvs.11.0 months;log-rankP=0.024).Patients were divided into mutation clearance(MC)group and mutation incomplete clearance(MIC)group according to whether theΔCt value ofEGFRm test turned negative after 1 month of treatment.We found that there was also a significant difference in mOS(not reachedvs.10.4 months;log-rankP=0.021)between MC group and MIC group.Although there was no significant difference in PFS between the two groups,the two curves were separated and the PFS of MC group tended to be higher than the MIC group(not reachedvs.27.5 months;log-rankP=0.088).Furthermore,EGFRm-positive patients were divided into two groups according to the cut-off of the changes inΔCt value ofEGFRm after 1 month of treatment,which was set at 4.89.A significant difference in the mOS between the two groups was observed(change value ofΔCt>4.89vs.≤4.89:not reachedvs.11.0 months;log-rankP=0.014).Conclusions:DetectingEGFRm in ctDNA using R-superARMS can identify patients who are more likely sensitive to targeted therapy,reflect the molecular load of patients,and predict the therapeutic efficacy and clinical outcomes of patients. 展开更多
关键词 Lung adenocarcinoma Non-small cell lung adenocarcinoma Liquid biopsy Super-amplification-refractory mutation system EGFR mutation
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