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您的检索式：作者名="WEIRONG LAI"
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| 1 | Therapeutic potential of an anti-HER2 single chain antibody-DM1 conjugates for the treatment of HER2-positive cancer显示文摘Antibody–drug conjugates(ADCs)take the advantage of monoclonal antibodies to selectively deliver highly potent cytotoxic drugs to tumor cells,which have become a powerful measure for cancer treatment in recent years.To develop a more effective therapy for human epidermal growth factor receptor 2(HER2)-positive cancer,we explored a novel ADCs composed of anti-HER2 scFv–HSA fusion antibodies conjugates with a potent cytotoxic drug DM1.The resulting ADCs,T-SA1–DM1 and T-SA2–DM1(drug-to-antibody ratio in the range of 3.2–3.5)displayed efficient inhibition in the growth of HER2-positive tumor cell lines and the half-maximal inhibitory concentration on SKBR-3 and SKOV3 cells were both at the nanomolar levels in vitro.In HER2-positive human ovarian cancer xenograft models,T-SA1–DM1 and T-SA2–DM1 also showed remarkable antitumor activity.Importantly,three out of six mice exhibited complete remission without regrowth in the high-dose group of T-SA1–DM1.On the basis of the analysis of luminescence imaging,anti-HER2 scFv–HSA fusion antibodies,especially T-SA1,showed strong and rapid tumor tissue penetrability and distribution compared with trastuzumab.Collectively,the novel type of ADCs is effective and selective targeting to HER2-positive cancer,and may be a promising antitumor drug candidate for further studies. | Hang Zhang Yuxi Wang Yangping Wu Xiaohua Jiang Yiran Tao Yuqin Yao Yujia Peng Xiangzheng Chen Yuyin Fu Lin Yu Ruixue Wang Qinhuai Lai Weirong Lai Wenting Li Yuhuan Kang Shuli Yi Ying Lu Lantu Gou Min Wu Jinliang Yang | 2017 | Signal Transduction and Targeted Therapy2017，2，1： | 0 |
| 2 | Chemokine Ligand 13 Expression is Abundant in the Tumor Microenvironment and Indicates Poor Prognosis of Kidney Clear Cell Carcinoma显示文摘The chemokine ligand 13-chemokine receptor 5(CXCL13-CXCR5)axis has been characterized as a critical tumor-promoting signaling pathway in the tumor microenvironment(TME)in multiple types of solid tumors.In this study,we analyzed the expression profile of CXCL13 in kidney clear cell carcinoma(KIRC)and its correlation with tumor-infiltrating immune cells(TIICs).A monoclonal antibody against CXCL13 with high affinity and purity was generated in our lab for western blot and immunohistochemistry(IHC).Bioinformatic analysis was performed based on bulk-seq data from the Cancer Genome Atlas(TCGA)-KIRC and single-cell RNA-seq data from scRNASeqDB and PanglaoDB.Results showed that high CXCL13 expression in TME was associated with shorter progression-free survival(PFS),disease-specific survival(DSS),and overall survival(OS).KIRC cell lines,as well as several other cancer cell lines,had negative CXCL13 expression.IHC staining from the Human Protein Atlas(HPA)and our tissue array indicated that CXCL13 might be mainly expressed by TIICs,but not KIRC tumor cells.CXCL13 expression was strongly and positively correlated withγδT cell abundance in TME.Besides,γδT cell infiltration was associated with poor survival of KIRC.Methylation 450k array data showed that CXCL13 promoter hypomethylation was common in TIICs.The methylation level of cg16361705 within the CXCL13 promoter might play an important role in modulating CXCL13 transcription.In conclusion,our study revealed that CXCL13 expression andγδT cell infiltration in TME is associated with unfavorable survival of KIRC.TIICs,most possiblyγδT cells,are the dominant source of CXCL13 in KIRC TME. | MENGDAN WU MENGYAO SUN QINHUAI LAI YIN LU YUYIN FU YUJIA PENG WEIRONG LAI LISHI ZENG SHENGYAN ZHAO YUYAN LI ZHIXIONG ZHANG XIAOFENG CHEN FAN QIAO YIWEN ZHANG SHIJIE ZHOU LANTU GOU JINLIANG YANG | 2021 | BIOCELL2021，45，3： | 0 |
| 3 | 人工智能白内障协同管理的通用平台显示文摘目的:建立和验证一个涉及多级临床场景的白内障协作通用的人工智能(artificial intelligence,AI)管理平台,探索基于AI的医疗转诊模式,以提高协作效率和资源覆盖率。方法:训练和验证的数据集来自中国AI医学联盟,涵盖多级医疗机构和采集模式。使用三步策略对数据集进行标记:1)识别采集模式;2)白内障诊断包括正常晶体眼、白内障眼或白内障术后眼;3)从病因和严重程度检测需转诊的白内障患者。此外,将白内障AI系统与真实世界中的居家自我监测、初级医疗保健机构和专科医院等多级转诊模式相结合。结果:通用AI平台和多级协作模式在三步任务中表现出可靠的诊断性能:1)识别采集模式的受试者操作特征(receiver operating characteristic curve,ROC)曲线下面积(area under the curve,AUC)为99.28%~99.71%);2)白内障诊断对正常晶体眼、白内障或术后眼,在散瞳-裂隙灯模式下的AUC分别为99.82%、99.96%和99.93%,其他采集模式的AUC均>99%;3)需转诊白内障的检测(在所有测试中AUC>91%)。在真实世界的三级转诊模式中,该系统建议30.3%的人转诊,与传统模式相比,眼科医生与人群服务比率大幅提高了10.2倍。结论:通用AI平台和多级协作模式显示了准确的白内障诊断性能和有效的白内障转诊服务。建议AI的医疗转诊模式扩展应用到其他常见疾病和资源密集型情景当中。 | WU Xiaohang HUANG Yelin LIU Zhenzhen LAI Weiyi LONG Erping ZHANG Kai JIANG Jiewei LIN Duoru CHEN Kexin YU Tongyong WU Dongxuan LI Cong CHEN Yanyi ZOU Minjie CHEN Chuan ZHU Yi GUO Chong ZHANG Xiayin WANG Ruixin YANG Yahan XIANG Yifan CHEN Lijian LIU Congxin XIONG Jianhao GE Zongyuan WANG Dingding XU Guihua DU Shaolin XIAO Chi WU Jianghao ZHU Ke NIE Danyao XU Fan LV Jian CHEN Weirong LIU Yizhi 林浩添 无 王厚硕(审校) 罗明杰(审校) | 2023 | 眼科学报2023，38，10： | 0 |
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