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“机器人”结直肠肿瘤经自然腔道取标本手术回顾性分析:一项全国多中心研究
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作者 刘东宁 何国栋 +26 位作者 姚宏亮 王锡山 王贵玉 熊德海 佘军军 胡军红 袁维堂 杨春康 蔡建春 韩方海 曾祥福 何鹏辉 叶善平 牛正川 刘奎杰 关旭 汤庆超 黄睿 时飞宇 连玉贵 官申 简锦亮 王振发 周声宁 赵书锋 韦烨 李太原 《中华结直肠疾病电子杂志》 2022年第6期474-481,共8页
目的探讨“机器人”结直肠肿瘤经自然腔道取标本手术(R-CRC-NOSES)的可行性和安全性。方法采用描述性病例系列研究方法。纳入2013年3月至2022年3月期间全国12家医院的R-CRC-NOSES病例。回顾性收集患者一般资料、肿瘤根治性资料(淋巴结... 目的探讨“机器人”结直肠肿瘤经自然腔道取标本手术(R-CRC-NOSES)的可行性和安全性。方法采用描述性病例系列研究方法。纳入2013年3月至2022年3月期间全国12家医院的R-CRC-NOSES病例。回顾性收集患者一般资料、肿瘤根治性资料(淋巴结检出数、转移阳性淋巴结数以及阳性切缘情况等)和手术安全性资料(手术时间、术中出血量以及术后并发症情况等)。结果本研究共纳入有效病例983例。平均年龄(61.5±9.6)岁,平均BMI(22.8±6.7)kg/m^(2),4.8%的病例接受术前新辅助治疗,77.1%的病例采用经直肠取标本。肿瘤根治性资料显示:最大环周直径3 cm~5 cm比例占病例总数的64.1%,管状腺癌比例占病例总数的85.6%,T3和T4期比例占总病例数的76.2%,68.2%的病例检出淋巴结数目≥12枚,28.9%的病例有淋巴结转移;Ⅰ~Ⅲ期病例分别占5.6%,29.7%和64.7%,无环周切缘阳性。手术安全性资料显示:无中转开腹病例,平均手术时间为(172.9±55.2)min,平均术中出血量为(46.3±20.3)mL,平均术后首次排气时间(47.5±12.0)h,平均术后进食时间为(73.5±12.8)h,平均术后住院时间为(8.2±2.5)d,术后并发症总发生率为14.1%,非计划再手术比例为1.7%,围手术期无死亡病例,术后肛门功能障碍者占总数的1.3%,未发现阴道功能障碍者。结论R-CRC-NOSES具有良好的可行性和安全性,值得临床广泛推广应用。 展开更多
关键词 结直肠肿瘤 经自然腔道取标本手术(NOSES) 机器人手术 回顾性分析
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Targeting castration-resistant prostate cancer with a novel RORγ antagonist elaiophylin 被引量:4
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作者 Jianwei Zheng Junfeng Wang +17 位作者 Qian Wang Hongye Zou Hong Wang Zhenhua Zhang Jianghe Chen Qianqian Wang Panxia Wang Yueshan Zhao Jing Lu Xiaolei Zhang Songtao Xiang Haibin Wang Jinping Lei Hong-Wu Chen Peiqing Liu Yonghong Liu fanghai han Junjian Wang 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2020年第12期2313-2322,共10页
Prostate cancer(PCa)patients who progress to metastatic castration-resistant PCa(mCRPC)mostly have poor outcomes due to the lack of effective therapies.Our recent study established the orphan nuclear receptor RORγas ... Prostate cancer(PCa)patients who progress to metastatic castration-resistant PCa(mCRPC)mostly have poor outcomes due to the lack of effective therapies.Our recent study established the orphan nuclear receptor RORγas a novel therapeutic target for CRPC.Here,we reveal that elaiophylin(Elai),an antibiotic from Actinomycete streptomyces,is a novel RORy antagonist and showed potent antitumor activity against CRPC in vitro and in vivo.We demonstrated that Elai selectively binded to RORy protein and potently blocked RORγtranscriptional regulation activities.Structure-activity relationship studies showed that Elai occupied the binding pocket with several key interactions.Furthermore,Elai markedly reduced the recruitment of RORγto its genomic DNA response element(RORE),suppressed the expression of RORγtarget genes AR and AR variants,and significantly inhibited PCa cell growth.Importantly,Elai strongly suppressed tumor growth in both cell line based and patient-derived PCa xenograft models.Taken together,these results suggest that Elai is novel therapeutic RORγinhibitor that can be used as a drug candidate for the treatment of human CRPC. 展开更多
关键词 RORγ Castration-resistant prostate cancer Nuclear receptor ANTAGONIST Elaiophylin
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Chinese guidelines for the application of colon cancer staging recognition systems based on artificial intelligence platforms (2021)
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作者 Yun Lu Shuai Li +21 位作者 Yuan Gao Yong Dai Bo Feng fanghai han Jiagang han Jingjing He Xinxiang Li Guole Lin Qian Liu Guiying Wang Quan Wang Zhenning Wang Zheng Wang Aiwen Wu Bin Wu Yingchi Yang Hongwei Yao Wei Zhang Jianping Zhou Aimin Hao Zhongtao Zhang 《Intelligent Medicine》 2021年第1期37-42,共6页
The incidence and mortality of colon cancer in China are increasing each year.At present,treatment selection for colon cancer patients mainly depends on imaging results,which require a large number of radiologists to ... The incidence and mortality of colon cancer in China are increasing each year.At present,treatment selection for colon cancer patients mainly depends on imaging results,which require a large number of radiologists to interpret.In China,there is a shortage and uneven distribution of experienced radiologists,which leads to delays and bias in the evaluation of imaging data.Based on these considerations,the Colorectal Surgery Group of the Surgery Branch of the Chinese Medical Association in collaboration with experts at Beihang University has independently developed an artificial intelligence(AI)-based recognition system for the preoperative determination of colon cancer stage to partially replace the work of and relieve the pressure on radiologists.These guidelines aim to standardize the use of AI-based recognition systems in the preoperative staging of colon cancer and guide their clinical application. 展开更多
关键词 Artificial intelligence Colon cancer Deep learning Preoperative staging
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