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| 1 | Efficacy 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 | 2021 | Cancer Communications2021，41，11： | 29 |
| 2 | Development and validation of an endoscopic images-based deep learning model for detection with nasopharyngeal malignancies显示文摘Background:Due to the occult anatomic location of the nasopharynx and frequent presence of adenoid hyperpla-sia,the positive rate for malignancy identification during biopsy is low,thus leading to delayed or missed diagnosis for nasopharyngeal malignancies upon initial attempt.Here,we aimed to develop an artificial intelligence tool to detect nasopharyngeal malignancies under endoscopic examination based on deep learning.Methods:An endoscopic images-based nasopharyngeal malignancy detection model(eNPM-DM)consisting of a fully convolutional network based on the inception architecture was developed and fine-tuned using separate training and validation sets for both classification and segmentation.Briefly,a total of 28,966 qualified images were collected.Among these images,27,536 biopsy-proven images from 7951 individuals obtained from January 1st,2008,to December 31st,2016,were split into the training,validation and test sets at a ratio of 7:1:2 using simple randomiza-tion.Additionally,1430 images obtained from January 1st,2017,to March 31st,2017,were used as a prospective test set to compare the performance of the established model against oncologist evaluation.The dice similarity coef-ficient(DSC)was used to evaluate the efficiency of eNPM-DM in automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images,by comparing automatic segmentation with manual segmenta-tion performed by the experts.Results:All images were histopathologically confirmed,and included 5713(19.7%)normal control,19,107(66.0%)nasopharyngeal carcinoma(NPC),335(1.2%)NPC and 3811(13.2%)benign diseases.The eNPM-DM attained an overall accuracy of 88.7%(95%confidence interval(CI)87.8%-89.5%)in detecting malignancies in the test set.In the prospective comparison phase,eNPM-DM outperformed the experts:the overall accuracy was 88.0%(95%CI 86.1%-89.6%)vs.80.5%(95%CI 77.0%-84.0%).The eNPM-DM required less time(40 s vs.110.0±5.8 min)and exhibited encouraging performance in automatic segmentation of nasopharyngeal malignant area from the background,with an average DSC of 0.78±0.24 and 0.75±0.26 in the test and prospective test sets,respectively.Conclusions:The eNPM-DM outperformed oncologist evaluation in diagnostic classification of nasopharyngeal mass into benign versus malignant,and realized automatic segmentation of malignant area from the background of nasopharyngeal endoscopic images. | Chaofeng Li Bingzhong Jing Liangru Ke Bin Li Weixiong Xia Caisheng He Chaonan Qian Chong Zhao Haiqiang Mai Mingyuan Chen Kajia Cao Haoyuan Mo Ling Guo Qiuyan Chen Linquan Tang Wenze Qiu Yahui Yu Hu Liang Xinjun Huang Guoying Liu Wangzhong Li Lin Wang Rui Sun Xiong Zou Shanshan Guo Peiyu Huang Donghua Luo Fang Qiu Yishan Wu Yijun Hua Kuiyuan Liu Shuhui Lv Jingjing Miao Yanqun Xiang Ying Sun Xiang Guo Xing Lv | 2018 | Cancer Communications2018，38，1： | 9 |
| 3 | Effects of La^(3+) Non-Uniformly Doping in TiO_2 Films on Photocatalytic Activities显示文摘TiO2 thin films non-uniformly doped by La 3+ were prepared by sol-gel method. The comparison of thin film activities, which was characterized by photocatalytic degradation of methyl orange, shows that doping modes have great effects on photocatalytic activities. The non-uniformly doped TiO2 films result in good photocatalytic activities with an optimal concentration; about 0.5%(atom fraction). UV-Vis transmittance spectra indicate that the absorption edges of these TiO2 thin films shift to ward longer wavelengths remarkably, and electrochemical behavior also reveales that e--h+ pairs are prone to formation and separation under UV irradiation. The mechanism of photocatalytic activities are enhanced by La 3+ non-uniformly doping was discussed on the analogy of the theory of “window effect” of solar cell heterojunction. | Cen Jiwen Li Xinjun He Mingxing Zheng Shaojian Feng Manzhi | 2005 | Journal of Rare Earths2005，23，6： | 2 |
| 4 | The effect of background irradiation on photocatalytic efficiencies of TiO2 thin films显示文摘 | Cen Jiwen Li Xinjun He Mingxing | 2006 | Chemosphere2006，62，5： | 1 |
| 5 | Channel selection against electrode shift enables robust myoelectric control without retraining显示文摘Myoelectric controlled interfaces driven by muscle activities have achieved good performance in ideal conditions and showed many potential medical-related and industrial applications.However,in practical applications,the performance could be drastically degraded due to the electrode(sensor)shift,which is inevitable in donning and doffing the system.In this study,we presented a novel channel selection method against electrode shift for robust pattern-recognition based myoelectric control.The proposed method was evaluated on twenty-four subjects,including twenty-two able-bodied subjects and two amputees,and compared with two traditional channel selection methods,i.e.,uniform selection(UNI)and sequential feature selection(SFS).We demonstrated that the offline error rates of the proposed method were significantly lower than those of the other two methods(P<0.05),and its online performance in shift conditions was comparable to that in ideal conditions.These outcomes benefit the practical applications of robust myoelectric controlled interfaces. | LV Bo HE JiaYuan SHENG XinJun DING Han ZHU XiangYang | 2021 | Science China(Technological Sciences)2021，64，8： | 0 |
| 6 | Durability of Hepatitis B surface antigen seroclearance in patients experienced nucleoside analogs or interferon monotherapy: A real-world data from Electronic Health Record显示文摘Little is known about the difference in durability of HBsAg seroclearance induced by nucleoside analogs (NAs) or by interferon (IFN). A real-world, retrospective cohort study was conducted. Patients were assigned into two groups: NAs monotherapy-induced HBsAg seroclearance subjects and IFN monotherapy induced-HBsAg seroclearance subjects. A total of 198 subjects, comprised by 168 NAs monotherapy-induced and 30 IFN monotherapy-induced, who achieved HBsAg seroclearance were included in this study. The one-year probabilities of confirmed HBsAg seroclearance were significantly different in patients with NAs monotherapy and IFN monotherapy (0.960 (with 95% CI 0.922–0.999) vs. 0.691 (with 95% CI 0.523–0.913), log-rank-P = 4.04e-4). 73.3% (11 of 15) HBsAg recurrence occurred within one year after HBsAg seroclearance. The one-year probabilities of confirmed HBsAg seroclearance were higher in IFN monotherapy patients with anti-HBs than in IFN monotherapy patients without anti-HBs (0.839 (with 95% CI 0.657–1.000) vs. 0.489 (with 95% CI 0.251–0.953), log-rank test, P = 0.024). Our study thus provided novel insights into the durability of HBsAg seroclearance induced by NAs or IFN monotherapy. In particular, the HBsAg seroreversion rate was relatively high in IFN monotherapy subjects. The presence of anti-HBs was significantly correlated with a longer durability of functional cure induced by IFN treatment. And one-year follow-up in HBsAg seroclearance achieved individuals is proper for averting HBsAg seroreversion and other liver disease. | Zongqi Shi Huizhi Zheng Miaomiao Han Jieli Hu Yuan Hu Xiaosong Li Wenyan Zhu Xinjun He Haijun Deng Quanxin Long Ailong Huang | 2023 | Genes & Diseases2023，10，3： | 0 |
| 7 | 基于内镜图像深度学习的鼻咽恶性肿瘤检测模型的建立与验证显示文摘背景与目的由于鼻咽部解剖位置隐匿且腺体增生频发,活检时恶性肿瘤的阳性率较低,从而导致初诊时鼻咽恶性肿瘤确诊延时或漏诊。本文旨在建立一种人工智能工具——基于深度学习的内镜检查,来检测鼻咽恶性肿瘤。方法建立了一种基于内镜图像的鼻咽恶性肿瘤检测模型(endoscopic imagesbased nasopharyngeal malignancies detection model,eNPM-DM),该模型由基于空间结构的全卷积网络构成,采用单独训练集和验证集对分类和分割进行微调。总共收集了28,966张合格图像。其中,自2008年1月1日至2016年12月31日,从7951例个体中获得了27,536张经活检证实的图像,按照7∶1∶2的比例随机分为训练、验证和测试集。此外,将2017年1月1日到2017年3月31日获得的1430张图像纳入预测集,用以对建立模型的性能与肿瘤专家的评价进行比较。以鼻咽镜图像为背景,对自动分割和专家手工分割进行比较,采用dice相似系数(dice similarity coefficient,DSC)评价eNPM-DM从鼻咽部内镜图像的背景中自动分割出恶性肿瘤区域的效率。结果所有图像经过病理组织学验证,包括正常对照5713(19.7%)例、鼻咽癌(nasopharyngeal carcinoma,NPC)19,107(66.0%)例、其他恶性肿瘤335(1.2%)例和3811(13.2%)例良性病变。在测试集中,eNPM-DM检测恶性肿瘤的总准确率达88.7%[95%置信区间(confidence interval,CI):87.8%–89.5%]。在预测比较阶段,eNPM-DM表现优于专家:总准确率分别为88.0%(95%CI:86.1%–89.6%)和80.5%(95%CI:77.0%–84.0%)。eNPM-DM耗时更短(40 s vs. 110.0±5.8 min),且从背景中自动分割出鼻咽恶性肿瘤区域方面表现优秀,测试集和预测集中的平均DSC分别为0.78±0.24和0.75±0.26。结论 eNPM-DM在鼻咽肿块良性/恶性诊断分类方面优于肿瘤学家评估,并且实现了从鼻咽内镜图像背景中对恶性区域自动分割。 | Chaofeng Li Bingzhong Jing Liangru Ke Bin Li Weixiong Xia Caisheng He Chaonan Qian Chong Zhao Haiqiang Mai Mingyuan Chen Kajia Cao Haoyuan Mo Ling Guo Qiuyan Chen Linquan Tang Wenze Qiu Yahui Yu Hu Liang Xinjun Huang Guoying Liu Wangzhong Li Lin Wang Rui Sun Xiong Zou Shanshan Guo Peiyu Huang Donghua Luo Fang Qiu Yishan Wu Yijun Hua Kuiyuan Liu Shuhui Lv Jingjing Miao Yanqun Xiang Ying Sun Xiang Guo Xing Lv | 2019 | 癌症2019，38，7： | 0 |
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