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Expert consensus on the detection and clinical application of tumor mutational burden 认领 引用
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作者 Zhenying Guo Chunwei Xu +168 位作者 Shirong Zhang Yue Hao Xiaotong Hu Ming Zhao Chan Xiang Yingshi Piao Pingli Sun Xueping Xiang Jing Zhao Huanwen Wu Weixing Li Jinpu Yu Jingping Yuan Shuangshuang Wang Cong Wang Yun Gu Bingjian Lv Liping Zhang Yueping Liu Xiaobin Cui Weizhong Gu Yining Li Wei Wang Wenjun Yang Weiguo Long Jingjing Xiang Hong Mou Biao Liu Huajuan Ruan Yubin Wang Yongjie Zhu Feng Wang Zhonghua Wang Xiaomin Feng Xing Liu Peng Li Min Deng Bin Lian Lili Mao Qian Wang Wenxian Wang Zhengbo Song Ziming Li Wenzhao Zhong Zhijie Wang Shengxiang Ren Wenfeng Fang Yongchang Zhang Jingjing Liu Xiuyu Cai Anwen Liu Wen Li Ping Zhan Hongbing Liu Tangfeng Lv Liyun Miao Lingfeng Min Yu Chen Yu Zhang Feng Wang Zhansheng Jiang Gen Lin Long Huang Xingxiang Pu Rongbo Lin Weifeng Liu Chuangzhou Rao Dongqing Lv Zongyang Yu Peng Shen Xiaoyan Li Chuanhao Tang Chengzhi Zhou Junping Zhang Junli Xue Hui Guo Qian Chu Rui Meng Jingxun Wu Rui Zhang Jin Zhou Zhengfei Zhu Yongheng Li Hong Qiu Fan Xia Yuanyuan Lu Xiaofeng Chen Rui Ge Enyong Dai Yu Han Jian Zhang Yinghua Ji Xianbin Liang Hongmei Zhang Xuelei Ma Xuewen Liu Yu Yao Peng Luo Weiwei Pan Fei Pang Fan Wu Dejian Gu Li Wang Liping Wang Youcai Zhu Li Lin Weiwen Li Xinqing Lin Jing Cai Ling Xu Jisheng Li Xiaodong Jiao Kainan Li Jia Wei Huijing Feng Lin Wang Yingying Du Wang Yao Xuefei Shi Xiaomin Niu Dongmei Yuan Yanwen Yao Yinbin Zhang Binbin Song Wenfeng Li Jianfei Fu Hong Wang Mingxiang Ye Dong Wang Zhaofeng Wang Qing Ji Yuan Fang Qing Wei Zhen Wang Bin Wan Donglai Lv Xiaofeng Li Shengjie Yang Jing Kang Jiatao Zhang Chao Zhang Lin Shi Yina Wang Bihui Li Zhang Zhang Ke Wang Zhefeng Liu Nong Yang Lin Wu Xiaobing Chen Gu Jin Zhongwu Li Miao Li Guansong Wang Jiandong Wang Meiyu Fang Yong Fang Xiaojia Wang Jing Chen Yiping Zhang Xixu Zhu Yi Shen Shenglin Ma Biyun Wang Lu Si Yong Song Yuanzhi Lu Aijun Liu Yuchen Han 《Cancer Biology & Medicine》 SCIE CAS CSCD 2026年第2期218-246,共29页
As an emerging biomarker,tumor mutational burden(TMB)has attracted increasing attention from clinicians in predicting the efficacy of tumor immunotherapy.Currently,TMB is detected primarily by whole-exome sequencing o... As an emerging biomarker,tumor mutational burden(TMB)has attracted increasing attention from clinicians in predicting the efficacy of tumor immunotherapy.Currently,TMB is detected primarily by whole-exome sequencing or targeted panel sequencing on high-throughput sequencing platforms.However,the lack of uniformity in detection methods,threshold settings,and reporting formats,as well as the significant differences in TMB values among different cancer types,have hindered the standardized application of this biomarker in clinical practice.This consensus focuses on the definition,standardization of detection,clinical significance,and limitations of TMB,and provides consensus recommendations for the clinical application of TMB in real-world practice in China.This consensus is aimed at helping clinicians and laboratory personnel understand the clinical significance and testing standards of TMB,promoting more accurate interpretation of test results,and improving patient care. 展开更多
关键词 Biomarkers tumor mutational burden tumor immunotherapy targeted panel sequencing whole-exome sequencing
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Expert consensus on the diagnosis and treatment of non-small cell lung cancer with MET alteration 认领 引用 被引量:1
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作者 Huijing Feng Yang Xia +106 位作者 Wenxian Wang Chunwei Xu Qian Wang Zhengbo Song Ziming Li Jinpu Yu Wenzhao Zhong Zhijie Wang Yongchang Zhang Jingjing Liu Shirong Zhang Xiuyu Cai Anwen Liu Wen Li Ping Zhan Hongbing Liu Tangfeng Lyu Liyun Miao Lingfeng Min Gen Lin Long Huang Jingping Yuan Zhansheng Jiang Xingxiang Pu Chuangzhou Rao DongqingLyu Zongyang Yu Xiaoyan Li Chuanhao Tang Chengzhi Zhou Qi Mei Hui Guo Qian Chu Rui Meng Xuewen Liu Jingxun Wu Jin Zhou Zhengfei Zhu Weiwei Pan Fei Pang Meizhen Hu Kai Wang Fan Wu Bingwei Xu Ling Xu Liping Wang Youcai Zhu Jisheng Li Yanru Xie Xinqing Lin Jing Cai Lin Wang Yingying Du Wang Yao Xuefei Shi Xiaomin Niu Dongmei Yuan Yanwen Yao Jing Kang Jiatao Zhang Chao Zhang Wenbin Gao Jianhui Huang Yinbin Zhang Pingli Sun Hong Wang Mingxiang Ye Dong Wang Zhaofeng Wang Yue Hao Zheng Wang Bing Wan Donglai Lyu Xiaodong Jiao Lin Shi Gang Lan Shengjie Yang Yanhong Shang Yina Wang Bihui Li Gang Jin Kang Zheng Jun Ma Wenfeng Li Zhang Zhang Zhongwu Li Yuan Li Zhefeng Liu Xuelei Ma Nong Yang Lin Wu Qiming Wang Guansong Wang Zhuan Hong Jiandong Wang Meiyu Fang Yong Fang Xixu Zhu Yi Shen Ke Wang Xiubao Ren Yiping Zhang Shenglin Ma Junping Zhang Yong Song Wenfeng Fang Yuanzhi Lu 《Cancer Biology & Medicine》 SCIE CAS CSCD 2025年第3期237-265,共29页
Alterations in the mesenchymal-epithelial transition factor(MET)gene are critical drivers of non-small cell lung cancer(NSCLC).In recent years advances in precision therapies targeting MET alterations have significant... Alterations in the mesenchymal-epithelial transition factor(MET)gene are critical drivers of non-small cell lung cancer(NSCLC).In recent years advances in precision therapies targeting MET alterations have significantly expanded treatment options for NSCLC patients.These alterations include MET exon 14 skipping mutations(MET exon 14 skipping),MET gene amplifications,MET point mutations(primarily kinase domain mutations),and MET protein overexpression.Accurate identification of these alterations and appropriate selection of patient populations and targeted therapies are essential for improving clinical outcomes.The East China Lung Cancer Group,Youth Committee(ECLUNG YOUNG,Yangtze River Delta Lung Cancer Cooperation Group)has synthesized insights from China’s innovative drug development landscape and clinical practice to formulate an expert consensus on the diagnosis and treatment of NSCLC patients with MET alterations.This consensus addresses key areas,such as optimal testing timing,testing methods,testing strategies,quality control measures,and treatment approaches.By offering standardized recommendations,this guidance aims to streamline diagnostic and therapeutic processes and enhance clinical decision-making for NSCLC with MET alterations. 展开更多
关键词 Mesenchymal-epithelial transition factor MET exon 14 skipping mutation MET amplification non-small cell lung cancer precision medicine targeted therapy tyrosine kinase
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The clinical effects of DC-CIK cells combined with chemotherapy in the treatment of advanced NSCLC 认领 引用 被引量:13
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作者 Junping Zhang Guanghua Mao +8 位作者 Yaping Han Xiaoling Yang Huijing Feng Linzi Jia Ting Zhi Yan Xiao Libin Zhang Jiangtao Wang Tianliang Shi 《The Chinese-German Journal of Clinical Oncology》 2012年第2期67-71,共5页
Objective: The aim of the study was to evaluate the safety and therapeutic effects of autologous dendritic cells co-cultured with cytokine-induced killer cells (DC-CIK) combined with chemotherapy in advanced non-small... Objective: The aim of the study was to evaluate the safety and therapeutic effects of autologous dendritic cells co-cultured with cytokine-induced killer cells (DC-CIK) combined with chemotherapy in advanced non-small cell lung cancer (NSCLC) patients. Methods: Fifty patients with advanced NSCLC (stages III to IV), who had received therapies in our Center (Department of Biotherapy, Affiliated to Cancer Hospital of Shanxi Medical University, Taiyuan, China) from August 2008 to January 2010, were treated by DC-CIK + chemotherapy as the combined treatment group; fifty advanced NSCLC patients treated with chemotherapy at the same time served as controls. The immunologic function, short-term therapeutic effects, the 1-year survival rate, the life quality, the chemotherapy side effects were compared between the two groups, the safety and therapeutic effects of DC-CIK cells therapy were observed too. Results: There was no obvious change of subsets of T cells in peripheral blood before and after therapy in DC-CIK + chemotherapy group, and IFN-γ was improved after therapy in this group (P < 0.05); in chemotherapy alone group, the ratios of CD3+CD4+, CD3+CD8+, CD3-CD56+ cells and the secretion of IL-2, TNF-α decreased significantly after therapy (P < 0.05); the ratios of CD3+CD8+, CD3+CD56+ were improved after cell culture (P < 0.05). The disease control rate (DCR) of DC-CIK + chemotherapy group was higher than that in the chemotherapy alone group (78.0% vs 56.0%, P < 0.05); the 1-year survival rates of DC-CIK + chemotherapy group and chemotherapy alone group were 50% and 44% respectively, had no significant difference. Compared with chemotherapy alone group, the occurrence of chemotherapy side effects (including bone marrow suppression, nausea and vomiting, peripheral nerve toxicity) was less in the DC-CIK + chemotherapy group (P < 0.05). The physical and appetite were better in DC-CIK + chemotherapy group after therapy. Conclusion: To compare with simple chemotherapy, DC-CIK + chemotherapy for advanced NSCLC is safe and effective, and it can improve patients' life quality and remission rate, and prolong their survival time. 展开更多
关键词 autologous dendritic cells co-cultured with cytokine-induced killer cells (DC-CIK) non-small cell lung cancer (NSCLC) adoptive cellular immunotherapy chemotherapy
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恶性肿瘤患者基于临床和血液学标记物的免疫检查点抑制剂相关不良事件预测模型的建立 认领 引用 被引量:5
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作者 许辉茹 冯慧晶 +1 位作者 任秀宝 张俊萍 《中国肿瘤临床》 CAS CSCD 北大核心 2022年第12期595-606,共12页
目的:本研究的目的是建立基于临床和血液学参数的免疫检查点抑制剂(immune checkpoint inhibitors,ICIs)治疗的恶性肿瘤患者的免疫相关不良事件(immune-related adverse effects,irAEs)预测模型,如果经过验证,这些标记物的优点是易于整... 目的:本研究的目的是建立基于临床和血液学参数的免疫检查点抑制剂(immune checkpoint inhibitors,ICIs)治疗的恶性肿瘤患者的免疫相关不良事件(immune-related adverse effects,irAEs)预测模型,如果经过验证,这些标记物的优点是易于整合到临床使用中,成本低廉。方法:本研究是对2016年1月到2020年12月在天津医科大学肿瘤医院和山西白求恩医院接受至少一剂ICIs治疗的恶性肿瘤患者的回顾性研究。收集了基线特征、治疗细节和不良事件的数据。采用t检验、χ2检验和Logistic回归等方法确定影响因素,建立预测模型。结果:任何级别和3级及以上的irAEs发生率分别为16.03%(76/474)和2.32%(11/474),其中最常见的分别为内分泌毒性37.1%(39/105)和肺炎7.6%(8/105)。多因素分析显示,2线治疗irAEs发生的风险更大[比值比(Odds Ratio,OR)=3.302];球蛋白(OR=1.086)与irAEs的发生呈正相关,而直接胆红素(direct bilirubin,DBIL)(OR=0.723)与其呈负相关(P<0.05)。最终建立了基于“ICIs类型、治疗线数、球蛋白、DBIL和淋巴细胞/单核细胞比值(lymphocyte to monocyte ratio,LMR)”的预测模型,其受试者工作特征(receiver operating characteristic,ROC)曲线下面积(area under the curve,AUC)为0.775,95%CI:0.711~0.840,P<0.05,临界值为0.118,敏感度为92.5%,特异度为56.6%。结论:基于ICIs类型、治疗线数、球蛋白、DBIL和LMR的预测模型对单纯接受ICIs的恶性肿瘤患者的irAEs预测效果较好,其中治疗线数、球蛋白和DBIL是irAEs发生的独立预测因素。ICIs作为2线治疗以及治疗前高球蛋白和低DBIL的人群发生ir-AEs的风险较高。 展开更多
关键词 免疫检查点抑制剂 免疫相关不良事件 标志物 预测模型
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International guidelines on the diagnosis and treatment of NUT carcinoma 认领 引用 被引量:2
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作者 Yu Zhang Qi Zhang +171 位作者 Yue Hao Jia Luo Yingshi Piao Wenxian Wang Zhengbo Song Ziming Li Luka Brcic Aijun Liu Jinpu Yu Yasuhiro Tsutani Wenzhao Zhong Wenfeng Fang Zhijie Wang Shengxiang Ren Athanasios G.Papavassiliou Yongchang Zhang Jingjing Liu Shirong Zhang Xiuyu Cai Ayten Kayi Cangir Anwen Liu Wen Li Filippo Lococo Ping Zhan Hongbing Liu Tangfeng Lv Liyun Miao Lingfeng Min Helmut Popper Yu Chen Jingping Yuan Feng Wang Zhansheng Jiang Gen Lin Long Huang Xingxiang Pu Rongbo Lin Kalevi Kairemo Weifeng Liu Chuangzhou Rao Dongqing Lv Zongyang Yu Ashrafian Leanne Xiaoyan Li Chuanhao Tang Hifzur R.Siddique Chengzhi Zhou Junping Zhang Junli Xue Vishal Shelat Hui Guo Qian Chu Rui Meng Fatemeh Ardeshir Jingxun Wu Rui Zhang Jin Zhou Robert A.Kratzke Zhengfei Zhu Yongheng Li Hong Qiu Fan Xia Fiorella Calabrese Yang Xia Alessandro Wasum Mariani Yuanyuan Lu Xiaofeng Chen Mark A.Klein Rui Ge Enyong Dai Axel H.Schönthal Yu Han Zhenying Guo Jian Zhang Yinghua Ji Xianbin Liang Hongmei Zhang Xuelei Ma Marco Chiappetta Xuewen Liu Francoise Galateau Salle Yu Yao Malgorzata Szolkowska Weiwei Pan Fei Pang Fan Wu Stefan B.Watzka Liping Wang Youcai Zhu Li Lin Aparna Sharma Jianfei Tu Xinqing Lin Jing Cai Ling Xu Jisheng Li Xiaodong Jiao Kainan Li Marjorie G.Zauderer Jia Wei Huijing Feng Lin Wang Yingying Du Wang Yao Elizabeth Dudnik Xuefei Shi Xiaomin Niu Dongmei Yuan Yanwen Yao Jianhui Huang Yue Feng Yinbin Zhang Binbin Song Wenfeng Li Jianfei Fu Marina K.Baine Pingli Sun Hong Wang Mingxiang Ye Dong Wang Zhaofeng Wang Jing Wu Yunyun Yang Yuan Fang Zhen Wang Bin Wan Donglai Lv Huafei Chen Shengjie Yang Jing Kang Jiatao Zhang Chao Zhang Lin Shi Yina Wang Mohamed Emam Sobeih Bihui Li Bin Lian Lili Mao Zhang Zhang Ke Wang Zhongwu Li Zhefeng Liu Nong Yang Lin Wu Xiaobing Chen Gu Jin Miao Li Guansong Wang Thomas U.Marron Jiandong Wang Sanjay Popat Meiyu Fang Yong Fang Daniel Mansilla Yuan Li Xiaojia Wang Jing Chen Yiping Zhang Xixu Zhu Yi Shen Shenglin Ma Aaron S.Mansfield Biyun Wang Lu Si Anja C.Roden Bjørn H.Grønberg Yong Song Geoffrey I.Shapiro Christopher A.French Yuanzhi Lu Qian Wang Chunwei Xu 《The Innovation》 EI 2026年第1期111-126,共16页
1(NUTM1)gene rearrangements(15q14).In 1991,two independent research teams reported NC cases characterized by the t(15;19)translo-cation.1,2 In vitro studies by French et al.3 led to the pivotal discovery of NC in 2003... 1(NUTM1)gene rearrangements(15q14).In 1991,two independent research teams reported NC cases characterized by the t(15;19)translo-cation.1,2 In vitro studies by French et al.3 led to the pivotal discovery of NC in 2003 as a distinct disease entity driven by the fusion of bromodo-main and extraterminal domain(BET)protein 4(BRD4)and NUTM1.In 2004,the World Health Organization(WHO)classified tumors with t(15;19)translocation as a thymic malignancy and designated it“NUT midline carcinoma,”due to its predominant occurrence in midline organs.4 However,subsequent reports revealed NC’s emergence in numerous nonmidline organs,leading to its reclassification as the independent entity“NUT carcinoma of the thorax”by the WHO in 2015.5 NC exhibits rapid progression and profound resistance to conventional radiotherapy and chemotherapy. 展开更多
关键词 t BRD vitro studies translocation nut carcinoma thorax thymic malignancy nut midline carcinoma NUTM
Expert consensus on the diagnosis and treatment of solid tumors with BRAF mutations 认领 引用 被引量:6
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作者 Wenxian Wang Bin Lian +133 位作者 Chunwei Xu Qian Wang Ziming Li Nan Zheng Aijun Liu Jinpu Yu Wenzhao Zhong Zhijie Wang Yongchang Zhang Jingjing Liu Shirong Zhang Xiuyu Cai Anwen Liu Wen Li Lili Mao Ping Zhan Hongbing Liu Tangfeng Lv Liyun Miao Lingfeng Min Yu Chen Jingping Yuan Feng Wang Zhansheng Jiang Gen Lin Long Huang Xingxiang Pu Rongbo Lin Weifeng Liu Chuangzhou Rao Dongqing Lv Zongyang Yu Xiaoyan Li Chuanhao Tang Chengzhi Zhou Junping Zhang Junli Xue Hui Guo Qian Chu Rui Meng Xuewen Liu Jingxun Wu Rui Zhang Jin Zhou Zhengfei Zhu Yongheng Li Hong Qiu Fan Xia Yuanyuan Lu Xiaofeng Chen Jian Feng Rui Ge Enyong Dai Yu Han Weiwei Pan Fei Pang Xin Huang Meizhen Hu Qing Hao Kai Wang Fan Wu Binbin Song Bingwei Xu Liping Wang Youcai Zhu Li Lin Yanru Xie Xinqing Lin Jing Cai Ling Xu Jisheng Li Xiaodong Jiao Kainan Li Jia Wei Huijing Feng Lin Wang Yingying Du Wang Yao Xuefei Shi Xiaomin Niu Dongmei Yuan Yanwen Yao Jianhui Huang Yue Feng Yinbin Zhang Pingli Sun Hong Wang Mingxiang Ye Dong Wang Zhaofeng Wang Yue Hao Zhen Wang Bin Wan Donglai Lv Shengjie Yang Jin Kang Jiatao Zhang Chao Zhang Wenfeng Li Jianfei Fu Lizhi Wu Shijie Lan Juanjuan Ou Lin Shi Zhanqiang Zhai Yina Wang Bihui Li Zhang Zhang Ke Wang Xuelei Ma Zhongwu Li Zhefeng Liu Nong Yang Lin Wu Huijuan Wang Gu Jin Guansong Wang Jiandong Wang Hubing Shi Meiyu Fang Yong Fang Yuan Li Xiaojia Wang Jing Chen Yiping Zhang Xixu Zhu Yi Shen Shenglin Ma Biyun Wang Yong Song Zhengbo Song Wenfeng Fang Yuanzhi Lu Lu Si 《The Innovation》 EI 2024年第6期100-116,共17页
The BRAF gene is an important signaling molecule in human cells that is involved in the regulation of cell growth,differentiation,and survival.When the BRAF gene mutates,it can lead to abnormal activation of the signa... The BRAF gene is an important signaling molecule in human cells that is involved in the regulation of cell growth,differentiation,and survival.When the BRAF gene mutates,it can lead to abnormal activation of the signaling pathway,which promotes cell proliferation,inhibits cell apoptosis,and ultimately contributes to the occurrence and development of cancer.BRAF mutations are widely present in various cancers,including malignant melanoma,thyroid cancer,colorectal cancer,non-small cell lung cancer,and hairy cell leukemia,among others.BRAF is an important target for the treatment of various solid tumors,and targeted combination therapies,represented by BRAF inhibitors,have become one of the main treatment modalities for a variety of BRAF-mutation-positive solid tumors. 展开更多
关键词 BRAF diagnosis treatment
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