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2篇 您的检索式:作者名="Jiangzheng Zeng"
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1Efficacy and safety of a novel anti-HER2 therapeutic antibody RC48 in patients with HER2-overexpressing,locally advanced or metastatic gastric or gastroesophageal junction cancer:a single-arm phase II study显示文摘Background:Current treatment options for human epidermal growth factor receptor 2(HER2)-overexpressing gastric cancer at third-line have shown limited clinical benefit.Further,there is no specific treatment for HER2 immunohistochemistry(IHC)2+and fluorescence in-situ hybridization-negative patients.Here,we report the efficacy and safety of a novel anti-HER2 antibody RC48 for patients with HER2-overexpressing,advanced gastric or gastroesophageal junction cancer.Methods:Patients with HER2-overexpressing(IHC 2+or 3+),locally advanced or metastatic gastric or gastroesophageal junction cancer who were under at least second-line therapy were eligible and received RC482.5 mg/kg alone every 2 weeks.The primary endpoint was the objective response rate(ORR)assessed by an independent review committee.Secondary endpoints included progressionfree survival(PFS),overall survival(OS),duration of response,time to progression,disease control rate,and safety.Results:Of 179 patients screened,125 were eligible and received RC48 treatment.The ORR was 24.8%(95%confidence interval[CI]:17.5%-33.3%).The median PFS and OS were 4.1 months(95%CI:3.7-4.9 months)and 7.9 months(95%CI:6.7-9.9 months),respectively.The most frequently reported adverse events were decreased white blood cell count(53.6%),asthenia(53.6%),hair loss(53.6%),decreased neutrophil count(52.0%),anemia(49.6%),and increased aspartate aminotransferase level(43.2%).Serious adverse events(SAEs)occurred in 45(36.0%)patients,and RC48-related SAEs were mainly decreased neutrophil count(3.2%).Seven patients had adverse events that led to death were not RC48-related.Conclusions:RC48 showed promising activity with manageable safety,suggesting potential application in patients with HER2-overexpressing,advanced gastric or gastroesophageal junction cancer who have previously received at least two lines of chemotherapy.Zhi Peng Tianshu Liu Jia Wei Airong Wang Yifu He Liuzhong Yang Xizhi Zhang Nanfeng Fan Suxia Luo Zhen Li Kangsheng Gu Jianwei Lu Jianming Xu Qingxia Fan Ruihua Xu Liangming Zhang Enxiao Li Yuping Sun Guohua Yu Chunmei Bai Yong Liu Jiangzheng Zeng Jieer Ying Xinjun Liang Nong Xu Chao Gao Yongqian Shu Dong Ma Guanghai Dai Shengmian Li Ting Deng Yuehong Cui Jianmin Fang Yi Ba Lin Shen 2021Cancer Communications2021,41,11:29
2Prognostic tumor microenvironment gene and the relationship with immune infiltration characteristics in metastatic breast cancer显示文摘The aim of this study was to reveal genes associated with breast cancer metastasis,to investigate their intrinsic relationship with immune cell infiltration in the tumor microenvironment,and to screen for prognostic biomarkers.Gene expression data of breast cancer patients and their metastases were downloaded from the GEO,TCGA database.R language package was used to screen for differentially expressed genes,enrichment analysis of genes,PPI network construction,and also to elucidate key genes for diagnostic and prognostic survival.Spearman’s r correlation was used to analyze the correlation between key genes and infiltrating immune cells.We screened 25 hub genes,FN1,CLEC5A,ATP8B4,TLR7,LY86,PTGER3 and other genes were differentially expressed in cancer and paraneoplastic tissues.However,patients with higher expression of CD1C,IL-18 breast cancer had a better prognosis in the 10 years survival period,while patients with high expression of FN1,EIF4EBP1 tumors had a worse prognosis.In addition,TP53 and HIF1 genes are closely related to the signaling pathway of breast cancer metastasis.In this study,gene expression of ATP8B4 and CD1C were correlated with cancer tissue infiltration of CD8^(+)T lymphocytes,while GSE43816,GSE62327 and TCGA databases showed that CD8^(+)T lymphocytes were closely associated with breast cancer progression.Functional enrichment analysis of genes based on expression differences yielded key genes of prognostic value in the breast cancer microenvironment.LU YANG YUN LIU BOKE ZHANG MENGSI YU FEN HUANG YANG WEN JIANGZHENG ZENG YANDA LU CHANGCHENG YANG 2022BIOCELL2022,46,5:1
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