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Wu P, Xiong C, Rao J, Ouyang M, Zhang H, Wu Y, Liu G. Newly recognized orbital malformations in kabuki syndrome: A case report. Eur J Ophthalmol 2024:11206721241249224. [PMID: 38656196 DOI: 10.1177/11206721241249224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Kabuki syndrome (KS) is a rare congenital disorder with distinctive characteristics. Herein, we describe a KS patient carrying a novel mutation in the KMT2D gene, c.11785C > T (p.Gln3929*). The patient presented with typical eyelid deformities, including eversion of the lateral lower eyelids, long palpebral fissures, hypertelorism, and medial epicanthus. Orbital computed tomography revealed orbital bone malformation with temporally and inferiorly displaced zygomatic bone. The bilateral orbits were shallow with an enlarged angle between the lateral walls. Zygomatic and maxillary bone dysplasia were also observed. Orbital bone anomalies are thought to be one of the characteristics of KS.
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Affiliation(s)
- Pengsen Wu
- Department of Ocular Oncology and Orbital Disease, Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China
| | - Cheng Xiong
- Department of Ocular Oncology and Orbital Disease, Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China
| | - Jing Rao
- Department of Ocular Oncology and Orbital Disease, Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China
| | - Ming Ouyang
- Department of Ocular Oncology and Orbital Disease, Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China
| | - Hua Zhang
- Department of Radiology, Shenzhen OCT Hospital, Shenzhen, China
| | - Yuqing Wu
- Department of Ocular Oncology and Orbital Disease, Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China
| | - Guiqin Liu
- Department of Ocular Oncology and Orbital Disease, Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China
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Liu L, Wu N, Ouyang M, Xing Y, Tian J, Chen P, Wu J, Hu Y, Niu X, Fu M, Ye D. Enhancement Effect Induced by the Second Metal to Promote Ozone Catalytic Oxidation of VOCs. Environ Sci Technol 2024; 58:6725-6735. [PMID: 38565876 DOI: 10.1021/acs.est.4c00710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
It is a promising research direction to develop catalysts with high stability and ozone utilization for low-temperature ozone catalytic oxidation of VOCs. While bimetallic catalysts exhibit excellent catalytic activity compared with conventional single noble metal catalysts, limited success has been achieved in the influence of the bimetallic effect on the stability and ozone utilization of metal catalysts. Herein, it is necessary to systematically study the enhancement effect in the ozone catalytic reaction induced by the second metal. With a simple continuous impregnation method, a platinum-cerium bimetallic catalyst is prepared. Also highlighted are studies from several aspects of the contribution of the second metal (Ce) to the stability and ozone utilization of the catalysts, including the "electronic effect" and "geometric effect". The synergistic removal rate of toluene and ozone is nearly 100% at 30 °C, and it still shows positive stability after high humidity and a long reaction time. More importantly, the instructive significance, which is the in-depth knowledge of enhanced catalytic mechanism of bimetallic catalysts resulting from a second metal, is provided by this work.
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Affiliation(s)
- Lei Liu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Ning Wu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Ming Ouyang
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Yun Xing
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Juntai Tian
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Peirong Chen
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
| | - Junliang Wu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
| | - Yun Hu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Xiaojun Niu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Mingli Fu
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
| | - Daiqi Ye
- School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, Guangzhou 510006, China
- National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, Guangzhou 510006, China
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Lang W, Deng L, Huang B, Zhong D, Zhang G, Lu M, Ouyang M. Cost-Effectiveness Analysis of Camrelizumab Plus Rivoceranib Versus Sorafenib as a First-Line Therapy for Unresectable Hepatocellular Carcinoma in the Chinese Health Care System. Clin Drug Investig 2024; 44:149-162. [PMID: 38300386 DOI: 10.1007/s40261-024-01343-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND AND OBJECTIVES Camrelizumab plus rivoceranib showed significant clinical benefits in progression-free survival and overall survival compared to sorafenib in patients with unresectable hepatocellular carcinoma (HCC). This study aimed to assess its cost effectiveness from the perspective of Chinese health care system. METHODS A Markov state-transition model was developed based on the Phase 3 randomized CARES-310 clinical trial data. Health state utility values were obtained from the CARES-310 clinical trial, and direct medical costs were derived from the relevant literature and local charges. The measured outcomes included quality-adjusted life-years (QALYs) and the incremental cost-effectiveness ratio (ICER). Probabilistic and one-way sensitivity analyses were performed to assess the uncertainty of the model. RESULTS In the base-case analysis, the incremental effectiveness and cost of camrelizumab plus rivoceranib versus sorafenib were 0.41 QALYs and $13,684.84, respectively, resulting in an ICER of $33,619.98/QALY, lower than the willingness-to-pay threshold of China ($35,864.61/QALY). Subgroup analyses revealed that the ICERs of camrelizumab plus rivoceranib versus sorafenib were $35,920.01 and $29,717.98 in patients with ALBI grade 1 and grade 2, respectively. One-way sensitivity analyses indicated that the cost of camrelizumab, the proportion of patients receiving subsequent treatment in the camrelizumab plus rivoceranib group, and the cost of rivoceranib were the most significant factors in the base-case analysis. Probabilistic sensitivity analysis suggested that the probabilities of cost effectiveness of camrelizumab plus rivoceranib were 61.27%, 51.46%, and 82.78% for any grade, and ALBI grade 1 and grade 2, respectively. CONCLUSIONS Camrelizumab plus rivoceranib was more cost effective than sorafenib as first-line therapy for unresectable HCC in the Chinese setting.
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Affiliation(s)
- Wenwang Lang
- Department of Pharmacy, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541002, China.
| | - Lian Deng
- Department of Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
| | - Bei Huang
- Department of Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
| | - Dongmei Zhong
- Department of Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
| | - Gaofeng Zhang
- Department of Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
| | - Meijun Lu
- Department of Oncology, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, China
| | - Ming Ouyang
- Department of Pharmacy, Nanxishan Hospital of Guangxi Zhuang Autonomous Region, Guilin, 541002, China
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4
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Ouyang M, Tian D, Niklas KJ, Yan Z, Han W, Yu Q, Chen G, Ji C, Tang Z, Fang J. The scaling of elemental stoichiometry and growth rate over the course of bamboo ontogeny. New Phytol 2024; 241:1088-1099. [PMID: 37991013 DOI: 10.1111/nph.19408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 10/31/2023] [Indexed: 11/23/2023]
Abstract
Stoichiometric rules may explain the allometric scaling among biological traits and body size, a fundamental law of nature. However, testing the scaling of elemental stoichiometry and growth to size over the course of plant ontogeny is challenging. Here, we used a fast-growing bamboo species to examine how the concentrations and contents of carbon (C), nitrogen (N) and phosphorus (P), relative growth rate (G), and nutrient productivity scale with whole-plant mass (M) at the culm elongation and maturation stages. The whole-plant C content vs M and N content vs P content scaled isometrically, and the N or P content vs M scaled as a general 3/4 power function across both growth stages. The scaling exponents of G vs M and N (and P) productivity in newly grown mass vs M relationships across the whole growth stages decreased as a -1 power function. These findings reveal the previously undocumented generality of stoichiometric allometries over the course of plant ontogeny and provide new insights for understanding the origin of ubiquitous quarter-power scaling laws in the biosphere.
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Affiliation(s)
- Ming Ouyang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Di Tian
- State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University, Beijing, 100083, China
| | - Karl J Niklas
- Department of Plant Biology, Cornell University, Ithaca, NY, 14850, USA
| | - Zhengbing Yan
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Wenxuan Han
- Key Laboratory of Plant-Soil Interactions, Ministry of Education, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China
| | - Qingshui Yu
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Guoping Chen
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Chengjun Ji
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Zhiyao Tang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
| | - Jingyun Fang
- Institute of Ecology, College of Urban and Environmental Sciences, and Key Laboratory for Earth Surface Processes of the Ministry of Education, Peking University, Beijing, 100871, China
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5
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Zhou C, Qin Y, Zhao W, Liang Z, Li M, Liu D, Bai L, Chen Y, Chen Y, Cheng Y, Chu T, Chu Q, Deng H, Dong Y, Fang W, Fu X, Gao B, Han Y, He Y, Hong Q, Hu J, Hu Y, Jiang L, Jin Y, Lan F, Li Q, Li S, Li W, Li Y, Liang W, Lin G, Lin X, Liu M, Liu X, Liu X, Liu Z, Lv T, Mu C, Ouyang M, Qin J, Ren S, Shi H, Shi M, Su C, Su J, Sun D, Sun Y, Tang H, Wang H, Wang K, Wang K, Wang M, Wang Q, Wang W, Wang X, Wang Y, Wang Z, Wang Z, Wu L, Wu D, Xie B, Xie M, Xie X, Xie Z, Xu S, Xu X, Yang X, Yin Y, Yu Z, Zhang J, Zhang J, Zhang J, Zhang X, Zhang Y, Zhong D, Zhou Q, Zhou X, Zhou Y, Zhu B, Zhu Z, Zou C, Zhong N, He J, Bai C, Hu C, Li W, Song Y, Zhou J, Han B, Varga J, Barreiro E, Park HY, Petrella F, Saito Y, Goto T, Igai H, Bravaccini S, Zanoni M, Solli P, Watanabe S, Fiorelli A, Nakada T, Ichiki Y, Berardi R, Tsoukalas N, Girard N, Rossi A, Passaro A, Hida T, Li S, Chen L, Chen R. International expert consensus on diagnosis and treatment of lung cancer complicated by chronic obstructive pulmonary disease. Transl Lung Cancer Res 2023; 12:1661-1701. [PMID: 37691866 PMCID: PMC10483081 DOI: 10.21037/tlcr-23-339] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/04/2023] [Indexed: 09/12/2023]
Abstract
Background Lung cancer combined by chronic obstructive pulmonary disease (LC-COPD) is a common comorbidity and their interaction with each other poses significant clinical challenges. However, there is a lack of well-established consensus on the diagnosis and treatment of LC-COPD. Methods A panel of experts, comprising specialists in oncology, respiratory medicine, radiology, interventional medicine, and thoracic surgery, was convened. The panel was presented with a comprehensive review of the current evidence pertaining to LC-COPD. After thorough discussions, the panel reached a consensus on 17 recommendations with over 70% agreement in voting to enhance the management of LC-COPD and optimize the care of these patients. Results The 17 statements focused on pathogenic mechanisms (n=2), general strategies (n=4), and clinical application in COPD (n=2) and lung cancer (n=9) were developed and modified. These statements provide guidance on early screening and treatment selection of LC-COPD, the interplay of lung cancer and COPD on treatment, and considerations during treatment. This consensus also emphasizes patient-centered and personalized treatment in the management of LC-COPD. Conclusions The consensus highlights the need for concurrent treatment for both lung cancer and COPD in LC-COPD patients, while being mindful of the mutual influence of the two conditions on treatment and monitoring for adverse reactions.
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Affiliation(s)
- Chengzhi Zhou
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yinyin Qin
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wei Zhao
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhenyu Liang
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Min Li
- Department of Respiratory Medicine, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha, China
| | - Dan Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Li Bai
- Department of Respiratory Medicine, Xinqiao Hospital Army Medical University, Chongqing, China
| | - Yahong Chen
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Yan Chen
- Department of Respiratory and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Cheng
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Tianqing Chu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Jiaotong University, Shanghai, China
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Haiyi Deng
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yuchao Dong
- Department of Pulmonary and Critical Care Medicine, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Wenfeng Fang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiuhua Fu
- Division of Respiratory Diseases, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Beili Gao
- Department of Respiratory, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yiping Han
- Department of Respiratory Medicine, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Yong He
- Department of Pulmonary and Critical Care Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Qunying Hong
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Hu
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi Hu
- Department of Medical Oncology, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Liyan Jiang
- Department of Respiratory Medicine, Shanghai Chest Hospital, Jiaotong University, Shanghai, China
| | - Yang Jin
- Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fen Lan
- Department of Respiratory Medicine, The Second Affiliated Hospital of Zhejiang University of Medicine, Hangzhou, China
| | - Qiang Li
- Department of Respiratory Medicine, Shanghai Dongfang Hospital, Shanghai, China
| | - Shuben Li
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wen Li
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yaqing Li
- Department of Internal Medicine, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Wenhua Liang
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Gen Lin
- Department of Thoracic Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Xinqing Lin
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Ming Liu
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Xiaofang Liu
- Department of Respiratory and Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xiaoju Liu
- Department of Gerontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhefeng Liu
- Department of Oncology, General Hospital of Chinese PLA, Beijing, China
| | - Tangfeng Lv
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Chuanyong Mu
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Ming Ouyang
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Jianwen Qin
- Department of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, China
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Huanzhong Shi
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Minhua Shi
- Department of Respiratory Medicine, The Second Affiliated Hospital of Suzhou University, Suzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jin Su
- Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Dejun Sun
- Department of Respiratory and Critical Care Medicine, Inner Mongolia Autonomous Region People’s Hospital, Hohhot, China
| | - Yongchang Sun
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Huaping Tang
- Department of Respiratory Medicine, Qingdao Municipal Hospital, Qingdao, China
| | - Huijuan Wang
- Department of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Kai Wang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Zhejiang University of Medicine, Hangzhou, China
| | - Ke Wang
- Department of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, China
| | - Mengzhao Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Qi Wang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Wei Wang
- Department of Pulmonary and Critical Care Medicine, the First Hospital of China Medical University, Shenyang, China
| | - Xiaoping Wang
- Department of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
| | - Yuehong Wang
- Department of Respiratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhijie Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zirui Wang
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Lin Wu
- Thoracic Medicine Department II, Hunan Cancer Hospital, Changsha, China
| | - Di Wu
- Department of Respiratory Medicine, Shenzhen People’s Hospital, Shenzhen, China
| | - Baosong Xie
- Department of Respiratory Medicine, Fujian Provincial Hospital, Fuzhou, China
| | - Min Xie
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohong Xie
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Zhanhong Xie
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Shufeng Xu
- Department of Respiratory and Critical Care Medicine, First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Xiaoman Xu
- Department of Respiratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xia Yang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yan Yin
- Department of Pulmonary and Critical Care Medicine, the First Hospital of China Medical University, Shenyang, China
| | - Zongyang Yu
- Department of Pulmonary and Critical Care Medicine, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Jian Zhang
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jianqing Zhang
- Second Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jing Zhang
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaoju Zhang
- Department of Respiratory and Critical Care Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Yingying Zhang
- Department of Medical Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Diansheng Zhong
- Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiangdong Zhou
- Department of Respiratory Medicine, The First Affiliated Hospital of Army Medical University, Chongqing, China
| | - Yanbin Zhou
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Bo Zhu
- Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Chenxi Zou
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Nanshan Zhong
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Jianxing He
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Chunxue Bai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chengping Hu
- Department of Pulmonary Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Song
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Jianying Zhou
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Baohui Han
- Department of Pulmonology, Shanghai Chest Hospital, Shanghai, China
| | - Janos Varga
- Department of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Esther Barreiro
- Pulmonology Department-Lung Cancer and Muscle Research Group, IMIM-Hospital del Mar, Parc de Salut Mar, Department of Medicine and Life Sciences (MELIS), Pompeu Fabra University (UPF), CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII) Barcelona, Spain
| | - Hye Yun Park
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Francesco Petrella
- Division of Thoracic Surgery, IRCCS European Institute of Oncology, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Yuichi Saito
- Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Hitoshi Igai
- Department of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Gunma, Japan
| | - Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Michele Zanoni
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Piergiorgio Solli
- Department of Cardio-Thoracic Surgery and Hearth & Lung Transplantation, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Satoshi Watanabe
- Department of Respiratory Medicine and Infectious Diseases, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Alfonso Fiorelli
- Thoracic Surgery Unit, Universitàdella Campania Luigi Vanvitelli, Naples, Italy
| | - Takeo Nakada
- Division of Thoracic Surgery, Department of Surgery, the Jikei University School of Medicine, Tokyo, Japan
| | - Yoshinobu Ichiki
- Department of General Thoracic Surgery, Saitama Medical University International Medical Center, Saitama, Japan
| | - Rossana Berardi
- Clinica Oncologica, Università Politecnica delle Marche, Azienda Ospedaliero-Universitaria delle Marche, Ancona, Italy
| | | | - Nicolas Girard
- Institut du Thorax Curie Montsouris, Institut Curie, Paris, France
- Paris Saclay, UVSQ, Versailles, France
| | - Antonio Rossi
- Oncology Center of Excellence, Therapeutic Science & Strategy Unit, IQVIA, Milan, Italy
| | - Antonio Passaro
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Toyoaki Hida
- Lung Cancer Center, Central Japan International Medical Center, Minokamo, Japan
| | - Shiyue Li
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Liang’an Chen
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Rongchang Chen
- Shenzhen Institute of Respiratory Diseases, Shenzhen People’s Hospital, Shenzhen, China
- Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Lin X, Deng H, Chu T, Chen L, Yang Y, Qiu G, Xie X, Qin Y, Liu M, Xie Z, Ouyang M, Li S, Song Y, Petrella F, Jakopovic M, Tsoukalas N, Solli P, Goto T, Saito Y, Zhou C. Safety and efficacy of immunotherapy rechallenge following checkpoint inhibitor-related pneumonitis in advanced lung cancer patients: a retrospective multi-center cohort study. Transl Lung Cancer Res 2022; 11:2289-2305. [PMID: 36519018 PMCID: PMC9742619 DOI: 10.21037/tlcr-22-732] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 11/08/2022] [Indexed: 02/16/2024]
Abstract
BACKGROUND Checkpoint inhibitor-related pneumonitis (CIP) induced by immune checkpoint inhibitors (ICIs) is one of the most fatal immune-related adverse events (irAE). However, only limited data are available on rechallenge with ICIs after CIP. We evaluated the efficacy and safety of rechallenge after CIP in patients with advanced lung cancer to identify the potential populations that would benefit. METHODS We conducted a multicenter retrospective study of advanced lung cancer patients who received further ICI treatment (rechallenge) or did not undergo re-administration after grade ≥1 CIP between May 2017 and May 2021. Progression-free survival (PFS) and overall survival (OS) were estimated from first or second ICI initiation to disease progression (PFS1 and PFS2, respectively), death, or last follow-up (OS1 and OS2, respectively). The recurrence of CIP and new irAEs in these patients after ICI rechallenge were calculated. RESULTS Among 107 patients afflicted with CIP, 45 (42.1%) received ICI rechallenge. Multivariate analysis showed that severe grade (grades ≥3) and ground-glass opacity of pneumonitis lesions were negatively associated with rechallenge. Following rechallenge, 9 (20.0%) patients developed recurrent pneumonitis, and 11 (24.4%) developed a new irAE. Severe grade of CIP and poor performance status at initial CIP as well as levels of interleukin (IL)-6 and C-reactive protein (CRP), and absolute white blood cell and neutrophil counts at the time of ICI rechallenge were associated with a higher recurrence rate. The median (95% confidence interval) PFS1 and PFS2 were 17.9 (9.9-24.2) and 15.5 (5.5-25.6) months, respectively. The median (95% confidence interval) OS1 and OS2 were 23.5 (16.5-30.5) and 18.4 (10.1-26.7) months, respectively. Lower OS2 was observed in patients with severe grade of CIP and poor performance status at the initial CIP, recurrence of CIP, and in patients with high levels of CRP and IL-6 at rechallenge. Only IL-6 was found to affect OS2 on multivariate analysis. CONCLUSIONS ICI rechallenge following CIP may be a promising treatment for patients with advanced lung cancer, particularly in those with low-grade of CIP and good performance status at initial CIP, and low levels of IL-6 and CRP at the time of initial challenge. Prospective studies are needed for further verification.
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Affiliation(s)
- Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Tianqing Chu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Jiaotong University, Shanghai, China
| | - Likun Chen
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yilin Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Guihuan Qiu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yong Song
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Francesco Petrella
- Division of Thoracic Surgery, IRCCS European Institute of Oncology, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Marko Jakopovic
- Department for Respiratory Diseases Jordanovac, University Hospital Centre, Zagreb, Croatia
- School of Medicine, University of Zagreb, Zagreb, Croatia
| | | | - Piergiorgio Solli
- Department of Cardio-Thoracic Surgery and Hearth & Lung Transplantation, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Yuichi Saito
- Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
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Ouyang M. Employing Mobile Learning in Music Education. Educ Inf Technol (Dordr) 2022; 28:5241-5257. [PMID: 36338599 PMCID: PMC9617041 DOI: 10.1007/s10639-022-11353-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 09/12/2022] [Indexed: 05/24/2023]
Abstract
This study sought to evaluate the effectiveness of introducing digital software in music education to improve academic performance and solfeggio class attendance. To assess academic performance, a test consisting of 25 theoretical questions and 25 practical tasks was developed. The Bologna model was used as an assessment system. The groups were compared by calculating the Student's t-test in terms of the "Test Score" and "Missed Classes" parameters. The collected data revealed that the mean score for the experimental group was 87.50 out of 100, while in the control group, it was much lower, namely 65.37. Likewise, the control group was characterized by satisfactory (D) performance in mastering solfeggio, with the mean score ranging between 64 and 73, whereas experimental group participants had an average of 82-89. The statistical data processing results showed that the six-month use of the ChordIQ app contributed to more effective mastering of solfeggio by amateur musicians. At the same time, the difference between the groups turned out to be significant in both cases, so the research hypothesis was confirmed for both of them (p < 0.05). Overall, the results showed that ChordIQ is a useful mobile app teaching the user music in an exciting and interactive way. The findings collected can be used to update traditional solfeggio curricula, conduct scientific studies in the field of interactive music education, as well as create new dedicated software.
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Affiliation(s)
- Ming Ouyang
- Faculty of Medicine, YongZhou Vocational Technical College, Yongzhou, China
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8
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Zhou C, Yang Y, Lin X, Fang N, Chen L, Jiang J, Deng H, Deng Y, Wan M, Qiu G, Sun N, Wu D, Long X, Zhong C, Xie X, Xie Z, Liu M, Ouyang M, Qin Y, Petrella F, Fiorelli A, Bravaccini S, Kataoka Y, Watanabe S, Goto T, Solli P, Igai H, Saito Y, Tsoukalas N, Nakada T, Li S, Chen R. Proposed clinical phases for the improvement of personalized treatment of checkpoint inhibitor–related pneumonitis. Front Immunol 2022; 13:935779. [PMID: 35967342 PMCID: PMC9364904 DOI: 10.3389/fimmu.2022.935779] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 06/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background Checkpoint inhibitor–related pneumonitis (CIP) is a lethal immune-related adverse event. However, the development process of CIP, which may provide insight into more effective management, has not been extensively examined. Methods We conducted a multicenter retrospective analysis of 56 patients who developed CIP. Clinical characteristics, radiological features, histologic features, and laboratory tests were analyzed. After a comprehensive analysis, we proposed acute, subacute, and chronic phases of CIP and summarized each phase’s characteristics. Results There were 51 patients in the acute phase, 22 in the subacute phase, and 11 in the chronic phase. The median interval time from the beginning of CIP to the different phases was calculated (acute phase: ≤4.9 weeks; subacute phase: 4.9~13.1 weeks; and chronic phase: ≥13.1 weeks). The symptoms relieved from the acute phase to the chronic phase, and the CIP grade and Performance Status score decreased (P<0.05). The main change in radiologic features was the absorption of the lesions, and 3 (3/11) patients in the chronic phase had persistent traction bronchiectasis. For histologic features, most patients had acute fibrinous pneumonitis in the acute phase (5/8), and most had organizing pneumonia in the subacute phase (5/6). Other histologic changes advanced over time, with the lesions entering a state of fibrosis. Moreover, the levels of interleukin-6, interleukin-10 and high-sensitivity C-reactive protein (hsCRP) increased in the acute phase and decreased as CIP progressed (IL-6: 17.9 vs. 9.8 vs. 5.7, P=0.018; IL-10: 4.6 vs 3.0 vs. 2.0, P=0.041; hsCRP: 88.2 vs. 19.4 vs. 14.4, P=0.005). Conclusions The general development process of CIP can be divided into acute, subacute, and chronic phases, upon which a better management strategy might be based devised.
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Affiliation(s)
- Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Yilin Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Nianxin Fang
- Affiliated Dongguan People’s Hospital, Dongguan Institute of Respiratory and Critical Care Medicine, Southern Medical University, Dongguan, China
| | - Likun Chen
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Juhong Jiang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Yu Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Minghui Wan
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Guihuan Qiu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Ni Sun
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Di Wu
- Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
| | - Xiang Long
- Department of Respiratory Disease, Peking University Shenzhen Hospital, Shenzhen, China
| | - Changhao Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
| | - Francesco Petrella
- Division of Thoracic Surgery, European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Alfonso Fiorelli
- Thoracic Surgery Unit, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy
| | - Yuki Kataoka
- Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital, Kyoto, Japan
| | - Satoshi Watanabe
- Department of Respiratory Medicine and Infectious Diseases, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Piergiorgio Solli
- Division of Thoracic Surgery & Lung Transplantation, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Hitoshi Igai
- Department of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Japan
| | - Yuichi Saito
- Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
| | | | - Takeo Nakada
- Division of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
- *Correspondence: Shiyue Li, ; Rongchang Chen,
| | - Rongchang Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, First Affiliated Hospital, Guangzhou Institute of Respiratory Health, Guangzhou Medical University, Guangzhou, China
- Shenzhen People’s Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, China
- *Correspondence: Shiyue Li, ; Rongchang Chen,
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Meng Y, Yang Y, Fang Y, Lin X, Xie X, Deng H, Wu J, Zhou M, Sun N, Xie Z, Liu M, Ouyang M, Qin Y, Su C, Zhou C. The Treatment Status of Patients in NSCLC With RET Fusion Under the Prelude of Selective RET-TKI Application in China: A Multicenter Retrospective Research. Front Oncol 2022; 12:864367. [PMID: 35692799 PMCID: PMC9176213 DOI: 10.3389/fonc.2022.864367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/22/2022] [Indexed: 11/14/2022] Open
Abstract
Background Rearranged during transfection (RET) fusion is a kind of uncommon mutation (about 1%) in non-small cell lung cancer (NSCLC). Although selective tyrosine kinase inhibitors (TKI) (selpercatinib and pralsetinib) have been available, there are no real-world data about the difference in the efficacy between RET-TKI and other regimens in China. Methods We conducted a multicenter retrospective analysis of 49 patients with RET-fusion-positive NSCLC. The characteristics and the clinical outcomes with RET-TKI, multi-kinase inhibitor (MKI), systematic chemotherapy, and immune-checkpoint inhibitor (ICI)-based regimens were evaluated. Results Of the 92 treatments in patients included, RET-TKI was administered 24 times (26.1%), systematic chemotherapy was 35 times (38.0%), ICI-based regimens was 26 times (28.3%), and MKI was 7 times (7.6%). RET-TKI had a higher objective response rate than the chemotherapy and ICI-based regimens (63.6% vs. 14.3% vs. 21.0%, p < 0.001). The median progress-free survival (mPFS) of RET-TKI, chemotherapy, immunotherapy, and MKI was 16.9 (95% CI: 1.8–32.0) months, 11.9 (95% CI: 7.7–16.1) months, 6.7 (95% CI: 2.9–10.5) months, and 2.8 (95% CI: 1.1–4.4) months, respectively. The mPFS of RET-TKI was longer than MKI and immunotherapy (p < 0.001), while without difference with chemotherapy (p = 0.096). Moreover, chemotherapy had longer mPFS than MKI (p < 0.001). In subgroup analysis, patients with brain metastases in RET-TKI treatment had worse mPFS than the one of patients without brain metastases (6.1 (95% CI: 0.0–13.9) months and 8.5 (95% CI: 6.3–10.6) months, p = 0.012). For patients having chemotherapy with or without angiogenesis inhibitors, the mPFS was 12.0 (95% CI: 11.05–13.02) months and 9.1 (95% CI: 8.31–9.89) months (p = 0.468). In the group of ICI-based regimens, the expression level of PD-L1 did not affect the mPFS of ICI [PD-L1 (+) vs. PD-L1 (–): 4.7 (95% CI: 1.8–9.0) months vs. 7.6 (95% CI: 1.1–14.0) months, p = 0.910]. For overall patients, ECOG PS score, therapy lines, and therapeutic regimens were the independent factors affecting the prognosis. Conclusions In RET-fusion-positive NSCLC, RET-TKI is the best choice for a better response rate and PFS. In addition, chemotherapy which may bring a good PFS, is still a good choice for this group of patients.
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Affiliation(s)
- Yan Meng
- Ward 2, Department of Oncology, Hainan Cancer Hospital, Haikou, China
| | - Yilin Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yujia Fang
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jianhui Wu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Maolin Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ni Sun
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
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Wang K, Zhang J, Deng M, Ju Y, Ouyang M. [METTL27 is a prognostic biomarker of colon cancer and associated with immune invasion]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:486-497. [PMID: 35527484 DOI: 10.12122/j.issn.1673-4254.2022.04.04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVE To investigate the expression and gene function of methyltransferase-like protein 27 (METTL27) in colon cancer, its association with immune infiltration and its prognostic significance. METHODS We analyzed the expression levels of METTL27 in 33 cancers using R language and identified METTL27 as a differential gene in colon cancer. The related signaling pathways of METTL27 were analyzed by gene functional annotation and enrichment. SsGSEA algorithm was used to analyze immune infiltration, and logistic analysis was used to evaluate the correlation between METTL27 expression and clinicopathological features of the patients. Kaplan-meier analysis, univariate and multivariate Cox regression analysis were performed to construct a nomogram for evaluating the correlation between METTL27 expression and clinical prognosis. The expression level of METTL27 was further verified in colorectal cancer cell lines and 16 clinical specimens of colorectal cancer tissues using qPCR and Western blotting. RESULTS METTL27 was highly expressed in 21 cancers, and its expression was significantly higher in colon cancer than in adjacent tissues (P < 0.001). METTL27-related genes were identified by differential analysis, and functional annotation revealed that METTL27 was significantly enriched in transmembrane transport and lipid metabolism, and 5 related signaling pathways were identified by GSEA. METTL27 expression was negatively correlated with different T helper cells and central memory T cells (P < 0.001). The patients with a high METTL27 mRNA expression had a poor survival outcome. Cox regression analysis showed that METTL27 expression was an independent prognostic factor of the overall survival. The expression level of METTL27 was significantly higher in the colorectal cancer cell line than in normal cells (P < 0.05). CONCLUSION METTL27 is overexpressed in colon cancer and is associated with a poor prognosis of the patients. A high expression of METTL27 showed is associated less T cell immune infiltration, suggesting the potential of METTL27 as a prognostic marker of colon cancer.
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Affiliation(s)
- K Wang
- Department of Gastrointestinal Surgery, Shunde Hospital, Southern Medical University, Foshan 528308, China
| | - J Zhang
- Department of Gastrointestinal Surgery, Shunde Hospital, Southern Medical University, Foshan 528308, China
| | - M Deng
- Department of Gastrointestinal Surgery, Shunde Hospital, Southern Medical University, Foshan 528308, China
| | - Y Ju
- Department of Gastrointestinal Surgery, Shunde Hospital, Southern Medical University, Foshan 528308, China
| | - M Ouyang
- Department of Gastrointestinal Surgery, Shunde Hospital, Southern Medical University, Foshan 528308, China
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Bethlehem RAI, Seidlitz J, White SR, Vogel JW, Anderson KM, Adamson C, Adler S, Alexopoulos GS, Anagnostou E, Areces-Gonzalez A, Astle DE, Auyeung B, Ayub M, Bae J, Ball G, Baron-Cohen S, Beare R, Bedford SA, Benegal V, Beyer F, Blangero J, Blesa Cábez M, Boardman JP, Borzage M, Bosch-Bayard JF, Bourke N, Calhoun VD, Chakravarty MM, Chen C, Chertavian C, Chetelat G, Chong YS, Cole JH, Corvin A, Costantino M, Courchesne E, Crivello F, Cropley VL, Crosbie J, Crossley N, Delarue M, Delorme R, Desrivieres S, Devenyi GA, Di Biase MA, Dolan R, Donald KA, Donohoe G, Dunlop K, Edwards AD, Elison JT, Ellis CT, Elman JA, Eyler L, Fair DA, Feczko E, Fletcher PC, Fonagy P, Franz CE, Galan-Garcia L, Gholipour A, Giedd J, Gilmore JH, Glahn DC, Goodyer IM, Grant PE, Groenewold NA, Gunning FM, Gur RE, Gur RC, Hammill CF, Hansson O, Hedden T, Heinz A, Henson RN, Heuer K, Hoare J, Holla B, Holmes AJ, Holt R, Huang H, Im K, Ipser J, Jack CR, Jackowski AP, Jia T, Johnson KA, Jones PB, Jones DT, Kahn RS, Karlsson H, Karlsson L, Kawashima R, Kelley EA, Kern S, Kim KW, Kitzbichler MG, Kremen WS, Lalonde F, Landeau B, Lee S, Lerch J, Lewis JD, Li J, Liao W, Liston C, Lombardo MV, Lv J, Lynch C, Mallard TT, Marcelis M, Markello RD, Mathias SR, Mazoyer B, McGuire P, Meaney MJ, Mechelli A, Medic N, Misic B, Morgan SE, Mothersill D, Nigg J, Ong MQW, Ortinau C, Ossenkoppele R, Ouyang M, Palaniyappan L, Paly L, Pan PM, Pantelis C, Park MM, Paus T, Pausova Z, Paz-Linares D, Pichet Binette A, Pierce K, Qian X, Qiu J, Qiu A, Raznahan A, Rittman T, Rodrigue A, Rollins CK, Romero-Garcia R, Ronan L, Rosenberg MD, Rowitch DH, Salum GA, Satterthwaite TD, Schaare HL, Schachar RJ, Schultz AP, Schumann G, Schöll M, Sharp D, Shinohara RT, Skoog I, Smyser CD, Sperling RA, Stein DJ, Stolicyn A, Suckling J, Sullivan G, Taki Y, Thyreau B, Toro R, Traut N, Tsvetanov KA, Turk-Browne NB, Tuulari JJ, Tzourio C, Vachon-Presseau É, Valdes-Sosa MJ, Valdes-Sosa PA, Valk SL, van Amelsvoort T, Vandekar SN, Vasung L, Victoria LW, Villeneuve S, Villringer A, Vértes PE, Wagstyl K, Wang YS, Warfield SK, Warrier V, Westman E, Westwater ML, Whalley HC, Witte AV, Yang N, Yeo B, Yun H, Zalesky A, Zar HJ, Zettergren A, Zhou JH, Ziauddeen H, Zugman A, Zuo XN, Bullmore ET, Alexander-Bloch AF. Brain charts for the human lifespan. Nature 2022; 604:525-533. [PMID: 35388223 PMCID: PMC9021021 DOI: 10.1038/s41586-022-04554-y] [Citation(s) in RCA: 372] [Impact Index Per Article: 186.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 02/16/2022] [Indexed: 02/02/2023]
Abstract
Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data ( http://www.brainchart.io/ ). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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Affiliation(s)
- R A I Bethlehem
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - J Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA.
| | - S R White
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - J W Vogel
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - K M Anderson
- Department of Psychology, Yale University, New Haven, CT, USA
| | - C Adamson
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S Adler
- UCL Great Ormond Street Institute for Child Health, London, UK
| | - G S Alexopoulos
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, USA
| | - E Anagnostou
- Department of Pediatrics University of Toronto, Toronto, Canada
- Holland Bloorview Kids Rehabilitation Hospital, Toronto, Canada
| | - A Areces-Gonzalez
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- University of Pinar del Río "Hermanos Saiz Montes de Oca", Pinar del Río, Cuba
| | - D E Astle
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - B Auyeung
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK
| | - M Ayub
- Queen's University, Department of Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
- University College London, Mental Health Neuroscience Research Department, Division of Psychiatry, London, UK
| | - J Bae
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea
| | - G Ball
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Melbourne, Victoria, Australia
| | - S Baron-Cohen
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge Lifetime Asperger Syndrome Service (CLASS), Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - R Beare
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - S A Bedford
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - V Benegal
- Centre for Addiction Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, India
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - J Blangero
- Department of Human Genetics, South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley, Edinburg, TX, USA
| | - M Blesa Cábez
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - J P Boardman
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - M Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - J F Bosch-Bayard
- McGill Centre for Integrative Neuroscience, Ludmer Centre for Neuroinformatics and Mental Health, Montreal Neurological Institute, Montreal, Quebec, Canada
- McGill University, Montreal, Quebec, Canada
| | - N Bourke
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, Dementia Research Institute, London, UK
| | - V D Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA, USA
| | - M M Chakravarty
- McGill University, Montreal, Quebec, Canada
- Computational Brain Anatomy (CoBrA) Laboratory, Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - C Chen
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - C Chertavian
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - G Chetelat
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - Y S Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J H Cole
- Centre for Medical Image Computing (CMIC), University College London, London, UK
- Dementia Research Centre (DRC), University College London, London, UK
| | - A Corvin
- Department of Psychiatry, Trinity College, Dublin, Ireland
| | - M Costantino
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec, Canada
- Undergraduate program in Neuroscience, McGill University, Montreal, Quebec, Canada
| | - E Courchesne
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
- Autism Center of Excellence, University of California, San Diego, San Diego, CA, USA
| | - F Crivello
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
| | - V L Cropley
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - J Crosbie
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - N Crossley
- Department of Psychiatry, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Instituto Milenio Intelligent Healthcare Engineering, Santiago, Chile
| | - M Delarue
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - R Delorme
- Child and Adolescent Psychiatry Department, Robert Debré University Hospital, AP-HP, Paris, France
- Human Genetics and Cognitive Functions, Institut Pasteur, Paris, France
| | - S Desrivieres
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - G A Devenyi
- Cerebral Imaging Centre, McGill Department of Psychiatry, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - M A Di Biase
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - R Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, London, UK
| | - K A Donald
- Division of Developmental Paediatrics, Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - G Donohoe
- Center for Neuroimaging, Cognition & Genomics (NICOG), School of Psychology, National University of Ireland Galway, Galway, Ireland
| | - K Dunlop
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - A D Edwards
- Centre for the Developing Brain, King's College London, London, UK
- Evelina London Children's Hospital, London, UK
- MRC Centre for Neurodevelopmental Disorders, London, UK
| | - J T Elison
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - C T Ellis
- Department of Psychology, Yale University, New Haven, CT, USA
- Haskins Laboratories, New Haven, CT, USA
| | - J A Elman
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - L Eyler
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, Los Angeles, CA, USA
| | - D A Fair
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - E Feczko
- Institute of Child Development, Department of Pediatrics, Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, USA
| | - P C Fletcher
- Department of Psychiatry, University of Cambridge, and Wellcome Trust MRC Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - P Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
- Anna Freud National Centre for Children and Families, London, UK
| | - C E Franz
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | | | - A Gholipour
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - J Giedd
- Department of Child and Adolescent Psychiatry, University of California, San Diego, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - J H Gilmore
- Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA
| | - D C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - I M Goodyer
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - P E Grant
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - N A Groenewold
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - F M Gunning
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
| | - C F Hammill
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Mouse Imaging Centre, Toronto, Ontario, Canada
| | - O Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - T Hedden
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - A Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Psychiatry and Psychotherapy, Charité Campus Mitte, Berlin, Germany
| | - R N Henson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - K Heuer
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Université de Paris, Paris, France
| | - J Hoare
- Department of Psychiatry, University of Cape Town, Cape Town, South Africa
| | - B Holla
- Department of Integrative Medicine, NIMHANS, Bengaluru, India
- Accelerator Program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, NIMHANS, Bengaluru, India
| | - A J Holmes
- Departments of Psychology and Psychiatry, Yale University, New Haven, CT, USA
| | - R Holt
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H Huang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- The Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Im
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Ipser
- Department of Psychiatry and Mental Health, Clinical Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - C R Jack
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - A P Jackowski
- Department of Psychiatry, Universidade Federal de São Paulo, São Paulo, Brazil
- National Institute of Developmental Psychiatry, Beijing, China
| | - T Jia
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and BrainInspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology and Neuroscience, SGDP Centre, King's College London, London, UK
| | - K A Johnson
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - P B Jones
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - D T Jones
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
| | - R S Kahn
- Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - H Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - L Karlsson
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - R Kawashima
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - E A Kelley
- Queen's University, Departments of Psychology and Psychiatry, Centre for Neuroscience Studies, Kingston, Ontario, Canada
| | - S Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - K W Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
- Department of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, South Korea
| | - M G Kitzbichler
- Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - W S Kremen
- Department of Psychiatry, Center for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA
| | - F Lalonde
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - B Landeau
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - S Lee
- Department of Brain & Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, South Korea
| | - J Lerch
- Mouse Imaging Centre, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - J D Lewis
- Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - J Li
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - W Liao
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Liston
- Department of Psychiatry and Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - M V Lombardo
- Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK
- Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy
| | - J Lv
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- School of Biomedical Engineering and Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - C Lynch
- Weil Family Brain and Mind Research Institute, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - T T Mallard
- Department of Psychology, University of Texas, Austin, TX, USA
| | - M Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, Maastricht, The Netherlands
- Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
| | - R D Markello
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S R Mathias
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - B Mazoyer
- Institute of Neurodegenerative Disorders, CNRS UMR5293, CEA, University of Bordeaux, Bordeaux, France
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - P McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - M J Meaney
- Ludmer Centre for Neuroinformatics and Mental Health, Douglas Mental Health University Institute, Montreal, Quebec, Canada
- Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - A Mechelli
- Bordeaux University Hospital, Bordeaux, France
| | - N Medic
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - B Misic
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - S E Morgan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - D Mothersill
- Department of Psychology, School of Business, National College of Ireland, Dublin, Ireland
- School of Psychology and Center for Neuroimaging and Cognitive Genomics, National University of Ireland Galway, Galway, Ireland
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - J Nigg
- Department of Psychiatry, School of Medicine, Oregon Health and Science University, Portland, OR, USA
| | - M Q W Ong
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - C Ortinau
- Department of Pediatrics, Washington University in St Louis, St Louis, MO, USA
| | - R Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - M Ouyang
- Radiology Research, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - L Palaniyappan
- Robarts Research Institute and The Brain and Mind Institute, University of Western Ontario, London, Ontario, Canada
| | - L Paly
- Normandie Univ, UNICAEN, INSERM, U1237, PhIND "Physiopathology and Imaging of Neurological Disorders", Institut Blood and Brain @ Caen-Normandie, Cyceron, Caen, France
| | - P M Pan
- Department of Psychiatry, Federal University of Sao Poalo (UNIFESP), Sao Poalo, Brazil
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Melbourne School of Engineering, The University of Melbourne, Parkville, Victoria, Australia
- Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | - M M Park
- Department of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - T Paus
- Department of Psychiatry, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
- Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Z Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada
- Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - D Paz-Linares
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China
- Cuban Neuroscience Center, Havana, Cuba
| | - A Pichet Binette
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - K Pierce
- Department of Neuroscience, University of California, San Diego, San Diego, CA, USA
| | - X Qian
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - J Qiu
- School of Psychology, Southwest University, Chongqing, China
| | - A Qiu
- Department of Biomedical Engineering, The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
| | - A Raznahan
- Section on Developmental Neurogenomics, Human Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - T Rittman
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - A Rodrigue
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | - C K Rollins
- Department of Neurology, Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
| | - R Romero-Garcia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Instituto de Biomedicina de Sevilla (IBiS) HUVR/CSIC/Universidad de Sevilla, Dpto. de Fisiología Médica y Biofísica, Seville, Spain
| | - L Ronan
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - M D Rosenberg
- Department of Psychology and Neuroscience Institute, University of Chicago, Chicago, IL, USA
| | - D H Rowitch
- Department of Paediatrics and Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - G A Salum
- Department of Psychiatry, Universidade Federal do Rio Grande do Sul (UFRGS), Hospital de Clinicas de Porto Alegre, Porto Alegre, Brazil
- National Institute of Developmental Psychiatry (INPD), São Paulo, Brazil
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Lifespan Informatics & Neuroimaging Center, University of Pennsylvania, Philadelphia, PA, USA
| | - H L Schaare
- Otto Hahn Group Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Juelich, Juelich, Germany
| | - R J Schachar
- The Hospital for Sick Children, Toronto, Ontario, Canada
| | - A P Schultz
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - G Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), Institute for Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- PONS-Centre, Charite Mental Health, Dept of Psychiatry and Psychotherapy, Charite Campus Mitte, Berlin, Germany
| | - M Schöll
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Queen's Square Institute of Neurology, University College London, London, UK
| | - D Sharp
- Department of Brain Sciences, Imperial College London, London, UK
- Care Research and Technology Centre, UK Dementia Research Institute, London, UK
| | - R T Shinohara
- Penn Statistics in Imaging and Visualization Center, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - I Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden
| | - C D Smyser
- Departments of Neurology, Pediatrics, and Radiology, Washington University School of Medicine, St Louis, MO, USA
| | - R A Sperling
- Harvard Medical School, Boston, MA, USA
- Harvard Aging Brain Study, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - D J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Dept of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - A Stolicyn
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - G Sullivan
- MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK
| | - Y Taki
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - B Thyreau
- Institute of Development, Aging and Cancer, Tohoku University, Seiryocho, Aobaku, Sendai, Japan
| | - R Toro
- Université de Paris, Paris, France
- Department of Neuroscience, Institut Pasteur, Paris, France
| | - N Traut
- Department of Neuroscience, Institut Pasteur, Paris, France
- Center for Research and Interdisciplinarity (CRI), Université Paris Descartes, Paris, France
| | - K A Tsvetanov
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - N B Turk-Browne
- Department of Psychology, Yale University, New Haven, CT, USA
- Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - J J Tuulari
- Department of Clinical Medicine, Department of Psychiatry and Turku Brain and Mind Center, FinnBrain Birth Cohort Study, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Medicine, University of Turku, Turku, Finland
- Turku Collegium for Science, Medicine and Technology, University of Turku, Turku, Finland
| | - C Tzourio
- Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, U1219, CHU Bordeaux, Bordeaux, France
| | - É Vachon-Presseau
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - P A Valdes-Sosa
- The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
- Alan Edwards Centre for Research on Pain (AECRP), McGill University, Montreal, Quebec, Canada
| | - S L Valk
- Institute for Neuroscience and Medicine 7, Forschungszentrum Jülich, Jülich, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - T van Amelsvoort
- Department of Psychiatry and Neurosychology, Maastricht University, Maastricht, The Netherlands
| | - S N Vandekar
- Department of Biostatistics, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - L Vasung
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - L W Victoria
- Weill Cornell Institute of Geriatric Psychiatry, Department of Psychiatry, Weill Cornell Medicine, New York, NY, USA
| | - S Villeneuve
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
| | - P E Vértes
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- The Alan Turing Institute, London, UK
| | - K Wagstyl
- Wellcome Centre for Human Neuroimaging, London, UK
| | - Y S Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - S K Warfield
- Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, USA
| | - V Warrier
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - E Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - M L Westwater
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - H C Whalley
- Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Clinic for Cognitive Neurology, University of Leipzig Medical Center, Leipzig, Germany
- Faculty of Medicine, CRC 1052 'Obesity Mechanisms', University of Leipzig, Leipzig, Germany
| | - N Yang
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - B Yeo
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Centre for Sleep and Cognition and Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- N.1 Institute for Health & Institute for Digital Medicine, National University of Singapore, Singapore, Singapore
- Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore, Singapore
| | - H Yun
- Division of Newborn Medicine and Neuroradiology, Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Victoria, Australia
- Department of Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - H J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA-MRC Unit on Child & Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - A Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Gothenburg, Sweden
| | - J H Zhou
- Center for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
- Center for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - H Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - A Zugman
- National Institute of Developmental Psychiatry for Children and Adolescents (INPD), Sao Poalo, Brazil
- National Institute of Mental Health (NIMH), National Institutes of Health (NIH), Bethesda, MD, USA
- Department of Psychiatry, Escola Paulista de Medicina, São Paulo, Brazil
| | - X N Zuo
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- National Basic Science Data Center, Beijing, China
- Research Center for Lifespan Development of Brain and Mind, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Brain and Education, School of Education Science, Nanning Normal University, Nanning, China
| | - E T Bullmore
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - A F Alexander-Bloch
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, PA, USA
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12
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Ouyang M, Liu G, Xiong C, Rao J. microRNA-181a-5p impedes the proliferation, migration, and invasion of retinoblastoma cells by targeting the NRAS proto-oncogene. Clinics (Sao Paulo) 2022; 77:100026. [PMID: 35339759 PMCID: PMC8961171 DOI: 10.1016/j.clinsp.2022.100026] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/16/2021] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES Accumulating research have reported that microRNAs (miRNAs) play important roles in Retinoblastoma (RB). Nonetheless, the function and underlying mechanism of miR-181a-5p in RB remain ambiguous. METHODS The relative expression levels of miR-181a-5p and NRAS mRNA were detected by quantitative Reverse Transcription-Polymerase Chain Reaction (qRT-PCR). RB cell proliferation was measured using the Cell Counting Kit-8 (CCK-8) and 5'-Bromo-2'-deoxyuridine (BrdU) assays. Transwell assays and flow cytometry were performed to detect the migration, invasion, and apoptosis of RB cells. The interaction between miR-181a-5p and NRAS was explored using luciferase experiments, western blotting, and qRT-PCR. RESULTS miR-181a-5p expression was found to be decreased in RB tissues and cell lines, and its expression was correlated with unfavorable pathological features of the patients. In vitro experiments revealed that miR-181a-5p reduced RB cell proliferation, migration, and invasion while enhancing apoptosis. Further research confirmed that NRAS is a direct target of miR-181a-5p. miR-181a-5p inhibited NRAS expression at both the mRNA and protein levels. Co-transfection of pcDNA-NRAS or NRAS small interfering RNA (siRNA) reversed the effects of miR-181a-5p mimics or miR-181a-5p inhibitors on RB cells. CONCLUSION miR-181a-5p was significantly downregulated during the development of RB, and it suppressed the malignant behaviors of RB cells by targeting NRAS.
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Affiliation(s)
- Ming Ouyang
- Shenzhen Eye Hospital, Jinan University, China.
| | - Guiqin Liu
- Shenzhen Eye Hospital, Jinan University, China
| | - Cheng Xiong
- Shenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, School of Optometry, Shenzhen University, China
| | - Jing Rao
- Shenzhen Eye Hospital, Shenzhen Eye Institute, Jinan University, School of Optometry, Shenzhen University, China
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Lin X, Lu T, Deng H, Liu C, Yang Y, Chen T, Qin Y, Xie X, Xie Z, Liu M, Ouyang M, Li S, Song Y, Zhong N, Qiu W, Zhou C. Serum neurofilament light chain or glial fibrillary acidic protein in the diagnosis and prognosis of brain metastases. J Neurol 2021; 269:815-823. [PMID: 34283286 DOI: 10.1007/s00415-021-10660-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 06/05/2021] [Accepted: 06/09/2021] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Brain metastases (BM) remains the most cumbersome disease burden in patients with lung cancer. This study aimed to investigate whether serum brain injury biomarkers can indicate BM, to further establish related diagnostic models, or to predict prognosis of BM. MATERIALS AND METHODS This was a prospective study of patients diagnosed with lung cancer with BM (BM group), with lung cancer without BM (NBM group), and healthy participants (control group). Serum neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) were detected at baseline. We identified and integrated the risk factors of BM to establish diagnostic models. RESULTS A total of 158 patients were included (n = 37, 57, and 64 in the BM, NBM, and control groups, respectively). Serum biomarker levels were significantly higher in the NBM group than in the control group. Higher serum NfL and GFAP concentrations were associated with BM (odds ratios, 3.06 and 1.79, respectively). NfL (area under curve [AUC] = 0.77, p < 0.001) and GFAP (AUC = 0.64, p = 0.02) had diagnostic value for BM. The final diagnostic model included NfL level, age, Karnofsky Performance Status. The model had an AUC value of 0.83 (95% confidence interval [CI] 0.75-0.92). High NfL concentration was correlated with poor overall survival of patients with BM (hazard ratio, 3.31; 95% CI 1.22-9.04; p = 0.019). CONCLUSION Serum NfL and GFAP could be potential diagnostic biomarkers for BM in patients with lung cancer. We established a model that can provide individual diagnoses of BM. Higher NfL level may be associated with poor prognosis of patients with BM.
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Affiliation(s)
- Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Tingting Lu
- Department of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China
| | - Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Chunxin Liu
- Department of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China
| | - Yilin Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Tao Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Yong Song
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China
| | - Wei Qiu
- Department of Neurology, Psychological and Neurological Diseases Research Centre, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510630, China.
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, 151# Yanjiang Road, Guangzhou, 510120, China.
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Wu PH, Dong C, Xie JX, Zhang XX, Liu J, Ouyang M, Ma JJ, Huang WH, Ou CX, Li J, Zhang QL. [Preliminary clinical observation of omalizumab therapy for moderate to severe asthma]. Zhonghua Jie He He Hu Xi Za Zhi 2021; 44:611-618. [PMID: 34256447 DOI: 10.3760/cma.j.cn112147-20210315-00173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To observe the effectiveness, safety and management of omalizumab therapy for moderate to severe asthma in real-world clinical practice in China. Methods: This retrospective analysis involved 79 patients with moderate to severe asthma who received omalizumab therapy for at least 4 months in the First Affiliated Hospital of Guangzhou Medical University from March 2018 to April 2020. All participants were between 14 to 76 years old(median 50 years),including 30 males and 49 females. Data regarding the patients' clinical manifestations, eosinophil count, fractional exhaled nitric oxide (FeNO), lung function, oral corticosteroid dosage, and adverse reactions were collected before and after treatment. Paired t-test or non-parametric paired Wilcoxon analysis was used for pairwise comparison, Mann Whitney analysis for inter-group comparison, and Chi square test or Fisher test for inter-group comparison of count data. Results: The following changes were noted after 4 months of omalizumab thearpy. The patients' Asthma Control Test (ACT) scores increased from 17.0 (13.0-19.0) to 20.0 (18.0-24.0) points (P<0.001). The frequency of acute exacerbations(AE) decreased from 1.0 (0-1.0) to 0 (0-1.0) episodes every 4 months (P<0.001). The variation rate of the peak expiratory flow (PEF) decreased from 16.5 (13.8-27.3)% to 10.4 (6.0-16.2)% (P<0.001). The percent predicted value of PEF (PEFpred%) increased from 71.7 (51.4-91.6)% to 87.5 (65.2-105.5)% (P<0.001). The percent predicted value of the forced expiratory volume in 1 second(FEV1%pred) increased from 73.6 (53.9-90.8)% to 80.6 (68.7-91.8)% (P=0.007). The maintenance dose of oral corticosteroids (OCS) decreased from 12.0 (10.0-20.0) to 5.0 (0-17.5) mg/day (P=0.001). After 4 months of treatment, the response rate of the 79 patients with asthma was 74.7%. The response rate of patients with allergic asthma (77.3%) was higher than that of patients with non-allergic asthma (25.0%) (P=0.019). Among 5 patients who completed 1 year of treatment, the ACT score, frequency of AE, PEFpred%, variation rate of PEF and OCS maintenance dose were still improved after 1 year of treatment. Adverse reactions occurred in 3 patients (3.8%), for a total of 3 (0.6%) times. Stratified analysis showed that after 4 months of treatment, the improvement in the ACT score and the decrease in the PEF variation rate among patients who reached the recommended treatment dose (full dose) [3.0 (1.0-8.0) points, 6.5 (3.5-15.8) %] were significantly higher than those among patients who did not reach the recommended treatment dose (insufficient dose) [1.0 (-0.3-3.0) points, 2.9 (1.5-5.0) %] (P<0.05). Additionally, the treatment response rate in patients with a sufficient dose (80.0%) was higher than that in patients with an insufficient dose (50.0%) (P=0.019).The main factors associated with stopping treatment within 1 year despite a response to omalizumab was economic burden (70.3%), followed by satisfactory improvement by self-evaluation (21.9%) and less improvement in symptoms than expected (7.8%). Conclusion: Omalizumab was an effective treatment for moderate to severe allergic asthma with few adverse effects. The response rate was higher when the recommended injection dose was achieved. Financial difficulty was the main reason for stopping treatment within 1 year despite a good therapeutic response.
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Affiliation(s)
- P H Wu
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - C Dong
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - J X Xie
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - X X Zhang
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - J Liu
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - M Ouyang
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - J J Ma
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - W H Huang
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - C X Ou
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - J Li
- Department of Allergy, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Q L Zhang
- Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Diseases, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
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15
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Zhang M, Jin M, Zhou X, Lin J, Liu X, Liu C, Huang M, Wang W, Chen L, Huang Y, Li J, Zhang Q, Shen H, Yu Y, Tang W, Zhou J, Liu H, Dong L, Hu Y, Wu H, Li Y, Song W, Ouyang M, Yuan X, Wang T, Xiong S. Effectiveness of omalizumab in patients with severe allergic asthma: A retrospective study in China. Respir Med 2021; 186:106522. [PMID: 34229289 DOI: 10.1016/j.rmed.2021.106522] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 06/24/2021] [Accepted: 06/27/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND We conducted the first real-world study of treatment with omalizumab, a humanized monoclonal anti-immunoglobulin E antibody, in Chinese patients with severe allergic asthma. OBJECTIVE The primary objective was the steroid-sparing effect of omalizumab after 12 and 16 weeks of treatment. Characteristics of the patient population, treatment patterns, response rate, and other measures of therapeutic effectiveness were also reported. METHODS This nationwide, retrospective, real-world study was conducted in patients with severe allergic asthma who were treated with omalizumab in China. Data, including demographics, Asthma Control Test (ACT) and laboratory and lung function test results, and omalizumab use information, were extracted from patient records collected as part of a previously conducted real-world survey (Asthma Group of the Respiratory Disease Society of the Chinese Medical Association). RESULTS In total, 139 patient records were included; 131 and 118 patients remained on treatment at the ≥12- and ≥16-week time points, respectively. The mean ± standard deviation age and median asthma duration (interquartile range) were 47.4 ± 14.3 and 7 (4, 15) years, respectively; 75.6% of patients had a history of allergic disease. Reductions (versus baseline) in inhaled corticosteroid/long-acting β2 agonists or oral corticosteroids were reported in 61.1% and 63.6% of patients at ≥12 and ≥ 16 weeks, respectively. There were significant improvements in ACT scores (6.08, P < .001) and nitric oxide fraction in exhaled air (-13.0, P = .01) from baseline. Multivariate analysis revealed that age and allergic medical history were predictors of omalizumab treatment response. No serious adverse events were reported. CONCLUSION Real-world omalizumab treatment was efficacious and well-tolerated in Chinese patients with severe allergic asthma.
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Affiliation(s)
- Min Zhang
- Shanghai General Hospital, Shanghai, China.
| | | | - Xin Zhou
- Shanghai General Hospital, Shanghai, China.
| | - Jiangtao Lin
- China-Japan Friendship Hospital, Beijing, China.
| | - Xiansheng Liu
- Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
| | - Chuntao Liu
- West China Hospital Sichuan University, Chengdu, China
| | - Mao Huang
- Jiangsu Province Hospital, Nanjing, China.
| | - Wen Wang
- Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
| | - Liang Chen
- Xiamen ChanggungHospital, Xiamen, China.
| | | | - Jing Li
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Qingling Zhang
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Huahao Shen
- The Second Affiliated Hospital of Zhejiang University of Medicine, Hangzhou, China.
| | - Yali Yu
- Ningbo Municipal Hospital of Traditional Chinese Medicine, Ningbo, China.
| | - Wei Tang
- Ruijing Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China.
| | - Jianying Zhou
- The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
| | - Hongju Liu
- Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
| | - Liang Dong
- Qilu Hospital of Shandong University, Jinan, China.
| | - Yan Hu
- Peking University First Hospital, Beijing, China.
| | - Hua Wu
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | - Yanhong Li
- Peking University Shenzhen Hospital, Shenzhen, China.
| | - Weidong Song
- Peking University Shenzhen Hospital, Shenzhen, China.
| | - Ming Ouyang
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
| | | | - Tao Wang
- Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
| | - Shengdao Xiong
- Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China.
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16
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Xie X, Wang L, Wang X, Fan WH, Qin Y, Lin X, Xie Z, Liu M, Ouyang M, Li S, Zhou C. Evaluation of Cell Surface Vimentin Positive Circulating Tumor Cells as a Diagnostic Biomarker for Lung Cancer. Front Oncol 2021; 11:672687. [PMID: 34055642 PMCID: PMC8162210 DOI: 10.3389/fonc.2021.672687] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 04/26/2021] [Indexed: 12/19/2022] Open
Abstract
Background Circulating tumor cells (CTCs) represent a collection of heterogeneous cells. Studies have shown epithelial CTCs and folate receptor (FR) positive CTCs could be used as diagnostic biomarkers for lung cancer (LC). This study aimed to determine whether cell surface vimentin (CSV) positive CTCs could be used as a biomarker for LC as well. Methods 78 treatment-naïve non-small-cell lung cancer (NSCLC) patients, 21 patients with benign lung diseases (BLD) and 9 healthy donors (HD) were enrolled in this study. CTC detection was performed using CytoSorter® mesenchymal CTC kit (CSV). The correlation between CSV positive CTCs (CSV-CTCs) and LC patients' clinicopathological characteristics would be evaluated, and diagnostic performances of CSV-CTCs and serum tumor markers for LC would be compared. Results CTC detection rates (average CTC count: range) in LC patients, patients with BLD and HD were 83.33% (2.47: 0-8), 47.62% (0.5: 0-3) and 0% (0: 0), respectively. CSV-CTCs could be used to differentiate LC patients from the patients with BLD and HD (P < 0.0001). CSV-CTCs were correlated with cancer stage, lymph node involvement and distant metastasis (P = 0.0062, 0.0014 and 0.0021, respectively). With a CTC cut-off value of 2, CSV-CTCs would have a sensitivity and specificity of 0.67 and 0.87, respectively, for diagnosing LC. CSV-CTC positive rates showed statistical differences among HD, BLD patients and LC patients at different cancer stages (P < 0.0001). Furthermore, CSV-CTC positive rates were positively correlated with tumor size, lymph node involvement and distant metastasis (P = 0.0163, 0.0196 and 0.03, respectively). CSV-CTCs had a better diagnostic performance than serum tumor makers, such as carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), cancer antigen 125 (CA125) and CA153. Conclusion When CTC cut-off is set to 2 CTCs per 7.5 mL of blood, CSV-CTCs can be considered as an acceptable biomarker for diagnosing LC with a sensitivity and specificity of 0.67 and 0.87, respectively.
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Affiliation(s)
- Xiaohong Xie
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Liqiang Wang
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinni Wang
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wan-Hung Fan
- Department of Clinical Medical Affairs, Hangzhou Watson Biotech, Hangzhou, China
| | - Yinyin Qin
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chengzhi Zhou
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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17
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Xie Z, Zhong R, Lin X, Xie X, Ouyang M, Liu M, Qin Y, Zhang J, Zhou C. Management of nonbacterial thrombotic endocarditis (NBTE) in advanced non-small cell lung cancer (NSCLC) patients with driver mutation: two case reports. Ann Palliat Med 2021; 10:3475-3482. [PMID: 33752413 DOI: 10.21037/apm-21-251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 02/26/2021] [Indexed: 11/06/2022]
Abstract
Nonbacterial thrombotic endocarditis (NBTE) is a rare disease that most often found post mortem. Malignant neoplasms, particularly adenocarcinomas, are the common underlying diseases associated with NBTE. In recent years, remarkable advances in targeted therapy have been made, but the effectiveness in treating NBTE in patients with severe lung cancer is poorly reported. Here we present two cases of severe NBTE in patients with stage IV lung adenocarcinoma harboring driver gene mutations, one with EGFR mutation, the other with positive ALK fusion oncogene. Both patients scored 4 according to the Cooperative Oncology Group performance status (ECOG PS) before the initiation of targeted therapies and anticoagulation therapies. Both patients showed significant improvement: the vegetations in their hearts vanished, their ECOG PS score changed from 4 to 3. We also discuss the current understanding of NBTE, including its epidemiology, pathogenesis, clinical presentation, evaluation, diagnosis, and treatment. Our report highlights the necessity of early and timely diagnosis of NBTE and gene classification for NSCLC patients (ECOG PS score ≥3), the importance of concurrent therapy for the cancer and its complications, and further stresses the effectiveness of targeted therapy for NBTE in patients with severe lung cancer harboring driver gene mutations.
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Affiliation(s)
- Zhanhong Xie
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ran Zhong
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiexia Zhang
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chengzhi Zhou
- Respiratory Medicine Department, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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18
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Xie X, Wang F, Qin Y, Lin X, Xie Z, Liu M, Ouyang M, Luo B, Gu Y, Li S, Gu D, Chen R, Zhou C. Case Report: Fatal Multiorgan Failure and Heterochronous Pneumonitis Following Pembrolizumab Treatment in a Patient With Large-Cell Neuroendocrine Carcinoma of Lung. Front Pharmacol 2021; 11:569466. [PMID: 33584255 PMCID: PMC7878548 DOI: 10.3389/fphar.2020.569466] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 12/23/2020] [Indexed: 01/11/2023] Open
Abstract
Immune checkpoint inhibitors have radically changed the landscape of antitumor therapies in several malignancies. Despite the long-term efficacy, severe immune-related adverse events (irAEs) were not uncommon. However, fatal simultaneous multiorgan failure was rare. Here, we described a patient who developed multiorgan failure, including fulminant myocarditis, myasthenia gravis crisis, hepatic dysfunction, and delayed pneumonitis after pembrolizumab therapy for lung large-cell neuroendocrine carcinoma. After failure of high-dose steroid treatment, implantation of cardiac pacemaker combined with high-dose steroids successfully controlled myocarditis caused by immune checkpoint inhibitors (ICIs). Delayed pneumonitis occurred unexpectedly, and it was treated successfully with steroids. With wild adoption of ICIs in clinical practice, investigations for predictive markers of irAEs are warranted, and more successful treatment strategies are worth sharing.
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Affiliation(s)
- Xiaohong Xie
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Fei Wang
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | - Bihui Luo
- First Clinical College, Guangzhou Medical University, Guangzhou, China.,Department of Cardiovascular Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yingying Gu
- First Clinical College, Guangzhou Medical University, Guangzhou, China.,State Key Laboratory of Respiratory Disease, Department of Respiratory Pathology, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
| | | | | | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Health, National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,First Clinical College, Guangzhou Medical University, Guangzhou, China
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19
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Lin X, Deng H, Chen L, Wu D, Chen X, Yang Y, Chen T, Xie X, Xie Z, Liu M, Ouyang M, Qin Y, Li S, Zhong N, Gregg JP, Horita N, Song Y, Zhou C. Clinical types of checkpoint inhibitor-related pneumonitis in lung cancer patients: a multicenter experience. Transl Lung Cancer Res 2021; 10:415-429. [PMID: 33569323 PMCID: PMC7867788 DOI: 10.21037/tlcr-20-1258] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Background Checkpoint inhibitor-related pneumonitis (CIP) is not well classified according to clinical factors. We propose different clinical sub-types of CIP based on clinical factors and investigated the corresponding clinical features, treatments, and outcomes. Methods We conducted a multicenter retrospective study of patients with lung cancer (including non-small cell lung cancer and small cell lung cancer) who developed CIP. The clinical characteristics, radiologic features, treatments, and outcomes of CIP were analyzed. Results A total of 55 patients developed CIP and were classified into 3 groups as follows: 21 in the pure type (PT) group, 14 in the induced type (IT) group, and 20 in the mixed type (MT) group. The incidence of severe (grade 3–5) pneumonitis was significantly higher in the IT group than in the PT and MT groups (71.4% vs. 14.3% vs. 50.0%, P=0.002). Antiviral therapy was significantly more frequent in the IT group than in the PT and MT groups. Antibiotic therapy was administered in 23.8%, 71.4%, and 80.0% of patients with the PT, IT, and MT, respectively. The improvement time in the PT group was longer than that in the IT and MT groups (0.9 vs. 0.5 vs. 0.3 months, P=0.028). Patients with the PT had a better tumor response to immune checkpoint inhibitors (ICIs) than those with the other 2 types [overall response rate (ORR), 78% vs. 31% vs. 44%, P=0.027]. Conclusions The clinical classification of CIP may favor strategies for treatments and predict the tumor response to ICIs.
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Affiliation(s)
- Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.,The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Likun Chen
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.,State Key Laboratory of Oncology in South China, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Di Wu
- Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Xiaobo Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yilin Yang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Tao Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jeffrey P Gregg
- Department of Pathology and Laboratory Medicine, University of California, Davis Medical Center, Sacramento, CA, USA
| | - Nobuyuki Horita
- Department of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Yong Song
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.,Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
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20
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Xie XH, Wang F, Lin XQ, Qin YY, Xie ZH, Zhang JX, Ouyang M, Zhou CZ. Anlotinib Plus S-1 for Patients with EGFR Mutation-Negative Advanced Squamous Cell Lung Cancer with PS Scores of 2-3 After Progression of Second-Line or Later-Line Treatment. Cancer Manag Res 2020; 12:12709-12714. [PMID: 33328765 PMCID: PMC7735716 DOI: 10.2147/cmar.s278068] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 11/19/2020] [Indexed: 12/25/2022] Open
Abstract
Objective The study aimed to analyze the efficacy and safety of combination regimen of anlotinib and S-1 for Chinese patients with EGFR mutation-negative advanced squamous cell lung cancer (SqCLC) with poor performance status (PS,2–3) after progression of second-line or later-line chemotherapy. Methods Clinical data of 70 SqCLC patients with PS scores of 2–3 treated in the First Affiliated Hospital of Guangzhou Medical University between January 1, 2018 to September 31, 2019 who failed second- or more-line treatment were analysed retrospectively. The patients were divided into two treatment groups: anlotinib (12mg) plus S-1 (25mg) combination group and anlotinib (12mg) monotherapy group. The efficacy and adverse reactions of the two groups were compared. Results In terms of the short-term efficacy, there were no significant differences in objective response rate (ORR) (20.0% vs 10.0%, p = 0.464) and disease control rate (DCR) (75.0% vs 60.0%, p = 0.181) between the two groups. As for the long-term efficacy, there was no significant difference in progression-free survival (PFS) between the two groups (3.87±0.29 months vs 3.00±0.24 months, p=0. 11). The overall survival (OS) of patients in the combination group was longer than S1 group (8.07±0.56 months vs 6.17±0.42 months, p=0.022). Conclusion Advanced SqCLC patients with higher PS scores still benefit from anlotinib and S-1 combination regimen, even after they failed second-line or later-line systemic treatment.
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Affiliation(s)
- Xiao-Hong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
| | - Fei Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
| | - Xin-Qing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
| | - Yin-Yin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
| | - Zhan-Hong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
| | - Jie-Xia Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
| | - Cheng-Zhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou 510120, People's Republic of China
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21
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Ruan J, Ouyang M, Zhang W, Luo Y, Zhou D. The effect of PD-1 expression on tumor-associated macrophage in T cell lymphoma. Clin Transl Oncol 2020; 23:1134-1141. [PMID: 33211280 DOI: 10.1007/s12094-020-02499-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 09/15/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE Our study aimed to explore the programmed death 1 (PD-1) expression on tumor-associated macrophage (TAM) in T cell non-Hodgkin lymphoma (T-NHL) and its relationship with lymphoma prognosis. The effect of PD-1 expression on the function of macrophages was also studied. METHODS Multispectral image quantitative analysis was applied for detecting PD-1 expression on macrophages in T cell lymphoma tissues. The Kaplan-Meier analysis was performed to evaluate the value of PD-1 expression of TAM in predicting the overall survival of T-NHL. PD-1 overexpression THP-1-derived macrophage was constructed and was cocultured with Jurkat cells to explore the effect of PD-1 on macrophage function. RESULTS In 17 T cell lymphoma cases, the 1-year overall survival rate was significantly lower in patients with higher PD-1 expression on TAMs (0.25 vs 0.86, p < 0.05). After co-cultured with Jurkat cells, classically activated (M1)-related markers on PD-1 overexpressed macrophages were significantly lower than those on controls, while the expressions of alternatively activated (M2) related markers were similar. The PD-1 overexpressed macrophages showed inhibited phagocytosis (4.42% vs 40.7%, p < 0.001) and increased IL-10 secretion (144.48 pg/ml vs 32.32 pg/ml, p < 0.001). CONCLUSION High PD-1 expression on TAMs in T-NHL may predict poor prognosis. The PD-1 overexpression of macrophages significantly inhibited polarization of M1 macrophages and phagocytosis, and more IL-10 was excreted. These changes may enhance the pro-tumor effects of tumor microenvironment.
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Affiliation(s)
- J Ruan
- Department of Hematology, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China
| | - M Ouyang
- Department of Hematology, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.,Department of Cardiovascule, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - W Zhang
- Department of Hematology, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
| | - Y Luo
- Department of Immunology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking, Union Medical College, Beijing, China
| | - D Zhou
- Department of Hematology, Chinese Academy of Medical Science, Peking Union Medical College Hospital, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, China
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22
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Lin X, Wang L, Xie X, Qin Y, Xie Z, Ouyang M, Zhou C. Prognostic Biomarker TP53 Mutations for Immune Checkpoint Blockade Therapy and Its Association With Tumor Microenvironment of Lung Adenocarcinoma. Front Mol Biosci 2020; 7:602328. [PMID: 33330629 PMCID: PMC7710974 DOI: 10.3389/fmolb.2020.602328] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2020] [Accepted: 10/27/2020] [Indexed: 12/20/2022] Open
Abstract
Immune checkpoint inhibitors (ICIs), is characterized by durable responses and improved survival in non-small cell lung cancer (NSCLC). However, there is a lack of predictive biomarkers to optimize the use of ICIs in cancers. The clinical benefit of patients with lung adenocarcinoma (LUAD) harboring TP53 mutations undergoing conventional treatments need to be optimized. Recently, studies indicated that TP53 mutations may be associated with improved survival in patients treated with ICIs. The immunotherapy cohort was used to estimate the association of TP53 mutations with the immune prognosis of LUAD. Genomic data were used to estimate the difference in immunogenicity and mutations in DNA damage repair (DDR). Clinical and genomic data were collected from patients with LUAD treated with ICIs and profiled using panel. The Cancer Genome Atlas (TCGA)-LUAD cohort was used to distinguish the tumor microenvironment, mutational profiles, immunogenicity and DDR mutations between TP53-mutated and TP53-wild-type. In the MSKCC-LUAD cohort, TP53-mutated LUAD showed significantly prolonged progression-free survival (PFS) (P = 0.017, HR = 0.69 [95%CI: 0.50–0.94]). CIBERSORT suggested that TP53-mutated had a higher proportion of activated immune cell infiltration. Additionally, TP53-mutated LUAD had higher expression levels of chemokines and proinflammatory mediators, increased tumor burden, neoantigen load, and DDR mutations. Gene set enrichment analysis (GSEA) suggests that TP53-mutated LUAD is significantly enriched in the cell cycle and DDR pathway but significantly downregulated in lipid metabolism. Our findings suggested that TP53 mutation may be a potential biomarker of immunotherapy for LUAD.
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Affiliation(s)
- Xinqing Lin
- Department of Respiratory Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Liqiang Wang
- Department of Respiratory Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- Department of Respiratory Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- Department of Respiratory Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- Department of Respiratory Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- Department of Respiratory Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Chengzhi Zhou
- Department of Respiratory Medicine, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
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Wang F, Xie X, Song M, Ji L, Liu M, Li P, Guan Y, Lin X, Qin Y, Xie Z, Zhang J, Ouyang M, Gu Y, Deng H, Xia X, Xin Y, Zhou C. Tumor immune microenvironment and mutational analysis of tracheal adenoid cystic carcinoma. Ann Transl Med 2020; 8:750. [PMID: 32647675 PMCID: PMC7333116 DOI: 10.21037/atm-20-3433] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Tracheal adenoid cystic carcinoma (TACC) is the second most common type of cancer in bronchial tumors with poor prognosis. Studies on the genomic profiles and tumor immune microenvironment (TIME) of TACC are still relatively rare. Methods Here, we performed whole-exome sequencing (WES), T cell repertoire (TCR) sequencing, and immunohistochemistry (IHC) on the resected tumors and matched peripheral blood leukocytes (PBLs) samples from 25 TACCs collected from April-2010 to Mar-2019. Results WES results revealed that LPAR3 and ALPI were recurrently mutated genes, with no classical lung cancer drivers in TACCs (n=8). The median tumor mutation burden (TMB) was 3.67, lower than other solid tumors. Unexpectedly, one patient showed high microsatellite instability (MSI). Recurrent copy number variations (CNVs) affected genes commonly involved in p53, cell cycle, and PI3K-Akt signaling pathways. For TCR estimators of 13 PBLs, the median clonality and Shannon index was 0.15 and 7.02, respectively. Shannon index showed marginally negative association with age (Pearson r =−0.53, P=0.062). Clonotype number and Shannon index of 7 TACC tissues were significantly lower than those of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) (Mann-Whitney test, both P<0.001, both P<0.001). Furthermore, programmed cell death 1 ligand 1 (PD-L1), a vital player in TIME, was negative (tumor proportion score, TPS <1%) in all samples (n=14). Patients with less clonotypes had longer progression-free survival (PFS) than those with more PFS (15.0 vs. 9.5 months, P<0.001, HR 12.5, 95% CI: 0.2–675.7). In particular, the clinical and molecular characteristics of one TACC patient receiving immunotherapy have been explained in detail. Conclusions In summary, despite the existence of one patient with MSI-H and chromosome instability, TACC was characterized by a lack of common drivers of lung cancer, negative PD-L1 expression, and low CD3+ and CD8+ T cell infiltration.
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Affiliation(s)
- Fei Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Liyan Ji
- Geneplus-Beijing, Beijing, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | | | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiexia Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yingying Gu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Haiyi Deng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Yi Xin
- Geneplus-Beijing, Beijing, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center of Respiratory Disease, Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Xie Z, Gu Y, Xie X, Lin X, Ouyang M, Qin Y, Zhang J, Lizaso A, Chen S, Zhou C. Lung Adenocarcinoma Harboring Concomitant EGFR Mutations and BRAF V600E Responds to a Combination of Osimertinib and Vemurafenib to Overcome Osimertinib Resistance. Clin Lung Cancer 2020; 22:e390-e394. [PMID: 32693944 DOI: 10.1016/j.cllc.2020.06.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 05/25/2020] [Accepted: 06/04/2020] [Indexed: 02/05/2023]
Affiliation(s)
- Zhanhong Xie
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yingying Gu
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiexia Zhang
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | | | - Chengzhi Zhou
- Department of Pulmonary and Critical Care Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
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Wang F, Xie XH, Lin XQ, Qin YY, Xie ZH, Zhang JX, Ouyang M, Zhou CZ. [Exploration of the treatment model for patients with advanced non-small cell lung cancer complicated with chronic obstructive pulmonary disease based on real-world data]. Zhonghua Jie He He Hu Xi Za Zhi 2020; 43:450-454. [PMID: 32450634 DOI: 10.3760/cma.j.cn112147-20200304-00241] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To explore whether combining treatment of chronic obstructive pulmonary disease (COPD) with anti-tumor therapy is better than that of tumor treatment alone in advanced non-small cell lung cancer (NSCLC) patients with COPD in the real world. Methods: The clinical data of 101 patients with advanced NSCLC complicated with COPD from January 1, 2015, to December 31, 2017, in the First Affiliated Hospital of Guangzhou Medical University were analyzed retrospectively, including 99 males and two females, aged from 52 to 84 years[average (67±8) years]. Among the patients, 90 (89.1%) were smokers, with an average pack-year smoking index of (47±4) . The patients were divided into observation and control groups, depending on whether they received standardized anti-COPD supportive treatment. In the observation group, there were 36 patients, including 35 males and one female, aged from 54 to 84 years[ average (67±8) years], with an average pack-year of smoking (47±4). There were 65 patients in the control group, including 64 males and one female, aged from 52 to 83 years [average (67±8) years], with an average pack-year of smoking 47±4. There was no significant difference in the baseline data between the two groups. The primary outcome measures included the Objective response rate (ORR), disease control rate (DCR), disease-free survival (PFS), and overall survival (OS) of the two groups. An unpaired t-test was used to compare continuous variables between the observation and control groups. The Pearson chi-square test was used to compare categorical variables between the two groups. Kaplan-Meier survival curves were used to evaluate the median PFS and median OS of patients, and the log-rank test was used to assess differences between groups. Result: The ORR of the observation group and the control group was 22.6% (7 cases) and 22.2% (11 cases), respectively, with no significant difference (χ(2)=0.01, P=0.971). The DCR between the observation group and the control group was 58.1% (19 cases) and 57.8% (27 cases), with no significant difference (χ(2)=0.02, P=0.889). Median PFS in the observation group was 6.0 months, which was better than the 3.5 months in the control group (χ(2)=3.947, P<0.05). The median OS of the observation group was 18.0 months, which was better than the 15.0 months of the control group (χ(2)=4.083, P<0.05). Conclusions: Compared with the treatment of tumors alone, combination of anti-tumor therapy with anti-COPD therapy showed longer PFS and OS in patients with advanced NSCLC complicated with COPD.
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Affiliation(s)
- F Wang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
| | - X H Xie
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
| | - X Q Lin
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
| | - Y Y Qin
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
| | - Z H Xie
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
| | - J X Zhang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
| | - M Ouyang
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
| | - C Z Zhou
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120,China
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Xie X, Lin X, Liu M, Qin Y, Ouyang M, Li S, Gu Y, Chen S, Xiang J, Zhou C. A first case report of clinical response to targeted therapy in a patient with primary myoepithelial carcinoma of the lung harboring EGFR exon 19 deletion. Diagn Pathol 2020; 15:71. [PMID: 32505185 PMCID: PMC7275596 DOI: 10.1186/s13000-020-00986-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 05/27/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Primary myoepithelial carcinoma of the lung is a rare subtype in lung cancer. Comprehensive molecular profiling of myoepithelial carcinoma of the lung is absent, neither was clinical evidence of targeted therapy available for this disease. Therefore, the optimal treatment regimen of this tumor needs to be established. CASE PRESENTATION Here we present a case of a 68-year-old patient with stage IVB primary myoepithelial carcinoma of the lung who harbored EGFR exon 19 deletion and KRAS mutation and underwent icotinib targeted therapy, achieving partial response (PR) with progression free survival (PFS) of 3 months. CONCLUSION To our knowledge, this study describes the first documented case of primary myoepithelial carcinoma lung cancer patient harboring EGFR exon 19 deletion and KRAS mutation, and showed clinical efficacy of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI) treatment in this patient.
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Affiliation(s)
- Xiaohong Xie
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 151 Yanjiang Road, Guangzhou, 510120, China
| | - Xinqing Lin
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 151 Yanjiang Road, Guangzhou, 510120, China
| | - Ming Liu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 151 Yanjiang Road, Guangzhou, 510120, China
| | - Yinyin Qin
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 151 Yanjiang Road, Guangzhou, 510120, China
| | - Ming Ouyang
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 151 Yanjiang Road, Guangzhou, 510120, China
| | - Shiyue Li
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 151 Yanjiang Road, Guangzhou, 510120, China
| | - Yingying Gu
- Department of Respiratory Pathology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou, 510120, China
| | - Shuyin Chen
- Burning Rock Biotech, Guangzhou, 510300, China
| | | | - Chengzhi Zhou
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, 151 Yanjiang Road, Guangzhou, 510120, China.
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Zhou C, Xu Y, Lin X, Wang F, Deng H, Xie X, Liu M, Xie Z, Zhang J, Ouyang M, Li S, Chen R, Qin Y, Chen R, Xia X. RB1 mutation had influenced on bone metastases in advanced treatment-naïve lung cancer. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e21668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21668 Background: RB1 is one of the most vital cancer suppressor genes in various cancer types. RB1 mutation always occurs in treatment-naïve small cell lung cancer (SCLC) patients or in resistance to EGFR TKI therapy of non-small cell lung cancer (NSCLC) patients. However, we observed a group of clinical NSCLC patients, and found that RB1 mutations also occurred in treatment-naïve patients. Methods: RB1 is one of the most vital cancer suppressor genes in various cancer types. RB1 mutation always occurs in treatment-naïve small cell lung cancer (SCLC) patients or in resistance to EGFR TKI therapy of non-small cell lung cancer (NSCLC) patients. However, we observed a group of clinical NSCLC patients, and found that RB1 mutations also occurred in treatment-naïve patients. Results: Nonsense and frame-shift mutations were the major pathogenic mutations found in RB1 gene, which predicted RB1 protein-deficient in these mutational patients. Furthermore, we found these RB1 mutation patients had TP53 mutations at the same time. Patients with RB1 mutation had a higher smoking prevalence than patients who had wildtype RB1 genes (P < 0.0001). Gene testing showed RB1 mutations patients also developed EGFR driver mutations, while the mutation frequency was significantly lower than RB1 wildtype patients ( P = 0.0368). Eight RB1 mutated patients diagnosed with actionable EGFR mutations, including exon 19 del, L858R, L861Q, G719S and S768I, while no patients diagnosed with EGFR exon 20 insertion. 10 (62.5%, 10/16) patients in RB1 mutated group, and 25(32.1%, 25/78) patients with RB1 wildtype had bone metastases. The proportion of bone metastases in patients with RB1 mutation was significantly increased than others ( P = 0.0216). Conclusions: This study demonstrates that the function of tumor suppressor gene RB1 in advanced stage of NSCLC. From the results, we considered RB1 mutation had influence on bone metastases. Although loss-of-function mutations in tumor suppressor gene (TSG) RB1 always had no targets therapeutic drugs, it also suggested that some other clinically treatment can be performed as soon as possible.
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Affiliation(s)
- Chengzhi Zhou
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ying Xu
- Department of Computer Science and Technology, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China, Xi'an, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fei Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Huojin Deng
- Department of Respiratory Medicine, Zhujiang Hospital, Southern MedicaI University, Guangzhou, 510280, China, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiexia Zhang
- Guangzhou Institute of Respiratory Health, Guangzhou Medical University the First Affiliated Hospital, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shiyue Li
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Rongchang Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, Shunde Hospital Affiliated to Guangzhou Medical University,Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Xuefeng Xia
- Houston Methodist Research Institute, Weill Cornell School of Medicine, Houston, TX
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Wang F, Zhou C, Xie X, Liu M, Lin X, Qin Y, Xie Z, Zhang J, Ouyang M, Song M, Li P, Guan YF, Xia X. T-Cell receptor repertoire and genomic analysis of tracheal adenoid cystic carcinoma. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e18576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e18576 Background: Tracheal adenoid cystic carcinoma (TACC) is the second type of cancer in bronchial tumors, has a high rate of postoperative recurrence and poor prognosis for which therapeutic targets are unavailable. Currently, studies were mostly about ACC of salivary gland. Our study is aim to elucidate genomic landscape and predict clinical biomarker of TACC. Methods: We performed whole-exome sequencing (WES), T cell repertoire sequencing (TCR) and immunohistochemistry (IHC) on tumor tissue samples and matched peripheral blood (PB) samples from TACC patients. All patients were followed up for their disease-free survival. Results: 13 cases were enrolled from 2010 to 2019. Median age of 13 TACCs was 35 yrs. 7 patients were female. 12 patients were stage I. In 8 WES samples, TCEB3CL (62%, 5/8), LPAR3 (50%, 4/8), ALPI (38%, 3/8), ARID1A (38%, 3/8) and BCOR (38%, 3/8) mutated most frequently. The median TMB was 3.67 (1.37-6.77) mutations/Mb. 1 patient showed microsatellite instability high (MSI-H). 2 patients with the highest TMB both had POLE mutations. We compared frequency of most mutated genes in our 8 samples with three different ACC types, including 935 ACC of salivary gland cancer, 76 ACC of the lung, and 38 ACC of breast cancer. 7 mutated frequently genes were found both in TACC and other types of ACCs, including ARID1A, BCOR, ARID1B, KMT2C, KMT2D, CREBBP and FAT3. 6 of them were more frequent in TACC. 7 FFPE tumors and 13 PB samples from 13 TACCs were used to investigate immune microenvironment. In 13 PB samples, TCR diversity (shannon index) and clonality was negatively associated with age (Pearson, r = -0.53, p = 0.06; r = 0.53, p = 0.06, respectively). There was no significant association between the other clinical characteristics (gender and smoking history) and any TCR parameter (clonality, clonotype, shannon index). Patients with lower clonotype number had longer DFS than those with higher clonotype number (15.0 vs 9.5 months, p < 0.001, 95% CI, 0.23-675.66, HR, 12.46), while shannon index and clonality was not significantly associated with DFS. Conclusions: The genetic mutations associated with TACC are different from those implicated in non-small cell lung cancer. TCR analysis as a useful of indicator of disease development and prognosis in TACC may be utilized to direct further immunotherapy.
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Affiliation(s)
- Fei Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chengzhi Zhou
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, Shunde Hospital Affiliated to Guangzhou Medical University,Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiexia Zhang
- First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | | | - Pansong Li
- Geneplus-Beijing Institute, Beijing, China
| | - Yan-Fang Guan
- Geneplus-Beijing Institute, Xi'an Jiaotong University, Beijing, China
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Xie X, Wang F, Liu M, Lin X, Qin Y, Xie Z, Zhang J, Ouyang M, Zhou C. Anlotinib plus S-1 for patients with EGFR mutation-negative advanced squamous cell lung cancer with poor performance status after second or more -line treatment. J Clin Oncol 2020. [DOI: 10.1200/jco.2020.38.15_suppl.e21665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e21665 Background: The study aimed to analyze the efficacy and safety of combination regimen of anlotinib and S-1 for Chinese patients with EGFR mutation-negative advanced squamous cell lung cancer (SqCLC) with poor performance status (PS, 2-3) after second-or-more-line treatment. Methods: Clinical data of 32 SqCLC patients with PS scores of 2-3 treated in the First Affiliated Hospital of Guangzhou Medical University between Jan.1, 2018 to Sep.31, 2019 who failed second-or-more-line treatment were analyzed retrospectively. The patients were divided into two treatment groups: anlotinib (12mg) plus S-1 (25mg) combination group and S1 (12mg) monotherapy group. The efficacy and adverse reactions of the two groups were compared. Results: In terms of the short-term efficacy, there was no significant difference in objective response rate (ORR) (16.7% vs 5.0%, p= 0.54), and disease control rate (DCR) (66.7% vs 55.0%, p= 0.713) between the two groups. As for the long-term efficacy, there was no significant difference in progression-free survival (PFS) between the two groups (5.19 ±1.13 months vs 3.17 ±0.42 months, p= 0.062). the overall survival (OS) of patients in the combination group was longer than S1 group (10.0 ±1.14 months vs 6.37 ±0.47 months, p= 0.042). Conclusions: SqCLC patients with higher PS scores still benefit from anlotinib and S-1 combination regimen, even after they failed second-line or above systemic treatment. [Table: see text]
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Affiliation(s)
- Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fei Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, Shunde Hospital Affiliated to Guangzhou Medical University,Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiexia Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chengzhi Zhou
- First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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30
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Xie Z, Liu L, Lin X, Xie X, Gu Y, Liu M, Zhang J, Ouyang M, Lizaso A, Zhang H, Feng W, Li B, Han-Zhang H, Chen S, Li S, Zhong N, Liu H, Zhou C, Qin Y. A multicenter analysis of genomic profiles and PD-L1 expression of primary lymphoepithelioma-like carcinoma of the lung. Mod Pathol 2020; 33:626-638. [PMID: 31659278 PMCID: PMC7113185 DOI: 10.1038/s41379-019-0391-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Revised: 09/23/2019] [Accepted: 09/24/2019] [Indexed: 12/12/2022]
Abstract
To understand the molecular mechanism of tumorigenesis of pulmonary lymphoepithelioma-like carcinoma and explore potential therapeutic strategies, we investigated the genomic profiles and PD-L1 expression of 29 Chinese pulmonary lymphoepithelioma-like carcinoma patients at various stages. We performed capture-based targeted sequencing on tissue samples collected from 27 patients with sufficient samples using a panel consisting of 520 cancer-related genes, spanning 1.64 Mb of the human genome. We identified 184 somatic mutations in 109 genes from 26 patients. One patient had no mutations detected by this panel. Copy number variations were detected in 52% (14/27) of the patients, with a majority having advanced-stage disease (10/14). Except for the detection of ERBB2 amplification and KRAS mutation in two patients, no other classic lung cancer driver mutations were detected. Interestingly, 78% (21/27) of the patients had mutations in epigenetic regulators. Of the 184 mutations identified, 51 occurred in 29 epigenetics-related genes. Furthermore, we performed PD-L1 immunohistochemistry staining using the Dako 22C3 assay and demonstrated that 69% (20/29) of the cohort had positive PD-L1 expression, of which three patients received and benefited from a PD-1 inhibitor. In conclusion, we elucidated a distinct genomic landscape associated with pulmonary lymphoepithelioma-like carcinoma with no classic lung cancer driver mutation but an enrichment of mutations in epigenetic regulators. The detection of high PD-L1 expression and lack of any canonical druggable driver mutations raises the potential of checkpoint immunotherapy for pulmonary lymphoepithelioma-like carcinoma.
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Affiliation(s)
- Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Laiyu Liu
- Chronic Airway Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Yingying Gu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Ming Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Jiexia Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Analyn Lizaso
- Burning Rock Biotech, Guangzhou, 510300, Guangdong, China
| | - Hua Zhang
- Department of Head and Neck/Thoracic Oncology, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Weineng Feng
- Department of Head and Neck/Thoracic Oncology, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Bing Li
- Burning Rock Biotech, Guangzhou, 510300, Guangdong, China
| | - Han Han-Zhang
- Burning Rock Biotech, Guangzhou, 510300, Guangdong, China
| | - Shuyin Chen
- Burning Rock Biotech, Guangzhou, 510300, Guangdong, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China
| | - Hao Liu
- Burning Rock Biotech, Guangzhou, 510300, Guangdong, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, Guangdong, China.
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He J, Ouyang M, Yong C, Chen D, Guo J, Zhou Y. A Novel Intelligent Fault Diagnosis Method for Rolling Bearing Based on Integrated Weight Strategy Features Learning. Sensors (Basel) 2020; 20:s20061774. [PMID: 32210113 PMCID: PMC7147375 DOI: 10.3390/s20061774] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Revised: 03/16/2020] [Accepted: 03/19/2020] [Indexed: 06/10/2023]
Abstract
Intelligent methods have long been researched in fault diagnosis. Traditionally, feature extraction and fault classification are separated, and this process is not completely intelligent. In addition, most traditional intelligent methods use an individual model, which cannot extract the discriminate features when the machines work in a complex condition. To overcome the shortcomings of traditional intelligent fault diagnosis methods, in this paper, an intelligent bearing fault diagnosis method based on ensemble sparse auto-encoders was proposed. Three different sparse auto-encoders were used as the main architecture. To improve the robustness and stability, a novel weight strategy based on distance metric and standard deviation metric was employed to assign the weights of three sparse auto-encodes. Softmax classifier is used to classify the fault types of integrated features. The effectiveness of the proposed method is validated with extensive experiments, and comparisons with the related methods and researches on the widely-used motor bearing dataset verify the superiority of the proposed method. The results show that the testing accuracy and the standard deviation are 99.71% and 0.05%.
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Affiliation(s)
- Jun He
- College of Automation, Foshan University, Foshan City 528000, Guangdong Province, China; (J.H.); (C.Y.); (D.C.); (J.G.)
| | - Ming Ouyang
- College of Automation, Foshan University, Foshan City 528000, Guangdong Province, China; (J.H.); (C.Y.); (D.C.); (J.G.)
| | - Chen Yong
- College of Automation, Foshan University, Foshan City 528000, Guangdong Province, China; (J.H.); (C.Y.); (D.C.); (J.G.)
| | - Danfeng Chen
- College of Automation, Foshan University, Foshan City 528000, Guangdong Province, China; (J.H.); (C.Y.); (D.C.); (J.G.)
| | - Jing Guo
- College of Automation, Foshan University, Foshan City 528000, Guangdong Province, China; (J.H.); (C.Y.); (D.C.); (J.G.)
| | - Yan Zhou
- College of Computer Science, Foshan University, Foshan City 528000, Guangdong Province, China;
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Gao G, Zhou C, Wu G, Guan W, Deng G, Zhu Z, Lin X, Xie X, Xie Z, Zhang J, Ouyang M, Zhong N, Li S, Qin Y. The clinical analysis of pulmonary lymphoepithelioma-like carcinoma with epithelioid granuloma. Transl Cancer Res 2020; 9:1023-1031. [PMID: 35117447 PMCID: PMC8797699 DOI: 10.21037/tcr.2019.12.87] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 11/28/2019] [Indexed: 12/02/2022]
Abstract
Background Pulmonary lymphoepithelioma-like carcinoma (PLELC) is a rare subtype of non-small cell lung cancer associated with Epstein-bar virus (EBV) infection. Epithelioid granuloma (EG) has been more scarcely reported and frequently misdiagnosed. Methods Data were collected from January 2013 to October 2019. Of 227 patients diagnosed as having PLELC, 22 patients had EG. We analyzed their clinical features, pathological characteristics and treatment and a comparison between PLELC patients complicated with or without EG was made. Results Twenty-two patients had complicated with EG (9.6%). The median age was 50 years (38–67 years). There were more females than males (1.4:1). Most patients were at early stage (68.2%) with nonspecific manifestations and lack of Rich-Lewis phenomenon. Compared with the 205 patients complicated without EG, there were no significant difference among age (t=0.938, P=0.349), gender (χ2=0.898, P=0.343), initial symptoms (χ2=2.684, P=0.443), smoking status (χ2=0.210, P=0.647), diameter of tumor(t=0.993, P=0.332) and performance status (H=0.971, P=0.615). EG was often located inside or adjacent to the tumor (71.4%). Specific staining was negative, whereas in situ hybridization staining of EBV-encoded RNA was consistently positive. Most patients complicated with EG received multimodality therapy including surgery, neo-adjuvant/adjuvant chemotherapy or palliative chemotherapy and none of them received anti-TB therapy. Compared with the 205 patients complicated without EG, there were no significant difference among tumor stage, DFS (median, not reached, P=0.914), PFS (median, 12.3 months, P=0.848), OS (median, not reached, P=0.737) and treatment including anti-tumor therapy and anti-TB therapy. During follow-up duration for 14.6 months (range, 2.1–94.7 months), none of the patients had occurrence, progression or relapse of tuberculosis, regardless whether anti-tuberculosis therapy was initiated. Conclusions PLELC complicated with EG was lack of Rich-Lewis phenomenon and specific clinical characteristics compared with those without EG. EG might be caused by immunological hypersensitivity to tumor cells or EBV infection but not pulmonary tuberculosis. PLELC complicated with EG could be treated with chemotherapy and surgery. However, anti-tuberculosis therapy was unnecessary.
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Affiliation(s)
- Guoying Gao
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Guofeng Wu
- The Third Affiliated Hospital of Guangzhou Medical University Li-Wan Hospital, Guangzhou 510170, China
| | - Weijie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Guosheng Deng
- Shunde Affiliated Hospital of Guangzhou Medical University, Foshan 528315, China
| | - Zheng Zhu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Jiexia Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Nanshan Zhong
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China
- Shunde Affiliated Hospital of Guangzhou Medical University, Foshan 528315, China
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Wang F, Xie X, Lin X, Qin Y, Xie Z, Zhang J, Ouyang M, Zhou C. P1.01-10 Impact of Anti-COPD Support Treatment in Advanced NSCLC Patients with COPD Undergoing Chemotherapy as First-Line Treatment. J Thorac Oncol 2019. [DOI: 10.1016/j.jtho.2019.08.725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Xie X, Guo B, Lin X, Qin Y, Ouyang M, Li S, Zhou C. Successful therapy with bevacizumab combined with corticosteroids for crizotinib-induced interstitial lung disease. Angiogenesis 2019; 22:477-479. [PMID: 31250326 PMCID: PMC6863787 DOI: 10.1007/s10456-019-09673-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 06/16/2019] [Accepted: 06/20/2019] [Indexed: 11/27/2022]
Abstract
We present the case of an old woman with ALK-rearranged stage IV lung adenocarcinoma who received crizotinib. She presented with severe dyspnea on the 34th day, and diffuse ground-glass opacifications in her chest. A diagnosis of crizotinib-induced ILD was confirmed. Corticosteroids were administered. However, the disease was still progressing rapidly. Therefore, as a monoclonal antibody against vascular endothelial growth factor, bevacizumab was administered in low doses (200 mg on days one and three). Her symptoms began to improve. Our clinical experience indicates that bevacizumab combined with corticosteroids might be a promising treatment in crizotinib-induced ILD patients.
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Affiliation(s)
- Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Guangzhou, 510120, Guangdong, People's Republic of China
| | - Bingpeng Guo
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Guangzhou, 510120, Guangdong, People's Republic of China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Guangzhou, 510120, Guangdong, People's Republic of China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Guangzhou, 510120, Guangdong, People's Republic of China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Guangzhou, 510120, Guangdong, People's Republic of China
| | - Shiyue Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Guangzhou, 510120, Guangdong, People's Republic of China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, No. 151 Yanjiang Road, Guangzhou, 510120, Guangdong, People's Republic of China.
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Xie Z, Gu Y, Lin X, Ouyang M, Qin Y, Zhang J, Liu J, Mai S, Zhou C. Unexpected favorable outcome to etoposide and cisplatin in a small cell lung cancer transformed patient: a case report. Cancer Biol Ther 2019; 20:1172-1175. [PMID: 31161851 PMCID: PMC6741564 DOI: 10.1080/15384047.2019.1617561] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Patients with epidermal growth factor receptor (EGFR) mutant non-small cell lung cancer can benefit significantly from EGFR tyrosine-kinase inhibitors (TKIs) treatment, but almost every patient will inevitably develop resistance. The transformation to small cell lung cancer (SCLC) has been described as an EGFR-TKI resistance often associated with aggressive clinical course and poor prognosis. In this study, we report an unexpected favorable response to etoposide and cisplatin (EP) from an EGFR-mutant patient who developed SCLC transformation at disease progression after the administration of erlotinib with a progression-free survivalof 7.7 months. At disease progression (PD) after erlotinib, rebiopsy showed typical SCLC histology accompanied by positive expressions of CD56, TTF-1, CK7, and synaptophysin. Subsequently, he was switched to standard SCLC treatment regimen EP in combination with erlotinib due to the retention of EGFR 19 del and achieved PR four cycles after the treatment. His disease progressed again 7.7 months after the initiation of EP treatment, with an enlargement of both primary and metastatic lesions. Collectively, this case illustrated the transformation from adenocarcinoma to SCLC and the subsequent durable benefit from standard treatment for SCLC.
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Affiliation(s)
- Zhanhong Xie
- Department of Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , China
| | - Yingying Gu
- Department of Pathology, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , China
| | - Xinqing Lin
- Department of Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , China
| | - Ming Ouyang
- Department of Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , China
| | - Yinyin Qin
- Department of Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , China
| | - Jiexia Zhang
- Department of Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , China
| | - Junjun Liu
- Burning Rock Biotech , Guangzhou , China
| | - Suiyi Mai
- Burning Rock Biotech , Guangzhou , China
| | - Chengzhi Zhou
- Department of Medicine, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University , Guangzhou , China
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Zhou C, Xie Z, Qin Y, Liu L, Zhang H, Feng W, Xie X, Lin X, Zhang J, Ouyang M, Gu Y, Li B, Han-Zhang H, Liu J, Mai S, Chen S, Zhang L. Genomic profiling of pulmonary lymphoepithelioma-like carcinoma (PLELC). J Clin Oncol 2019. [DOI: 10.1200/jco.2019.37.15_suppl.1572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
1572 Background: PLELC, a rare and distinct type of primary lung cancer, is characterized by Epstein-Barr virus (EBV) infection. Histologically, it resembles undifferentiated nasopharyngeal carcinomas (NPC). Only a few hundred cases have been reported since its discovery. Due to the extreme rareness, its genomic landscape remains elusive. Methods: Tissue samples of 27 PLELC patients (13 males and 14 females) with various stages (Ib to IV) were subjected to targeted sequencing using a panel consisting of 520 cancer-related genes, spanning 1.6Mb of human genome. Results: Collectively, we identified 184 somatic mutations spanning 109 genes, including 107 SNVs, 12 insertions or deletions (INDELs) and 65 copy-number amplifications (CNAs). Approximately, 50% of patients had CNAs. One patient had no mutation detected from this panel. Except for 2 patients, 1 with HER2 amplification and another with KRAS mutation, no other classic NSCLC driver genes were detected. The most frequently mutated genes were CCND1, TP53, DAXX and NF kBIA, occurring in 30%, 26%, 22% and 22% of patients, respectively. Interestingly, 78% (21/27) patients had mutations in epigenetic regulators. Of the 184 mutations identified, 51 occurred in epigenetics-related genes. Pathway analysis also revealed an enrichment of genes participating in chromatin remodeling and organization. Next, we compared the genomic profile of PLELC with lung adenocarcinoma and EBV positive NPC. The frequency of TP53 mutations was significantly higher in lung adenocarcinoma (68% vs 26%, p = 0.021). Comparing to NPC, PLELC had significantly more mutations in epigenetic regulators. TMB analysis revealed a median TMB of 1.6/Mb, significantly lowered than lung adenocarcinomas (p < 0.01). We also assessed PD-L1expression and revealed that 67% had an overexpression of PD-L1. Interestingly, TP53-mutant patients were more likely to associated low PD-L1 expression (p < 0.01). Conclusions: In this study, we elucidated a distinct genomic landscape associated with PLELC with no classic NSCLC driver mutation but an enrichment of mutations in epigenetic regulators. The observation of high expression of PD-L1 and lack of canonical druggable driver mutation raises the potential of immunocheckpoint blockade therapy for PLELC.
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Affiliation(s)
- Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhanhong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yinyin Qin
- State Key Laboratory of Respiratory Disease, Shunde Hospital Affiliated to Guangzhou Medical University,Guangzhou Institute of the Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Laiyu Liu
- Chronic Airways Diseases Laboratory, Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China, Guangzhou, China
| | - Hua Zhang
- Department of Head and Neck/Thoracic Oncology, The First People's Hospital of Foshan, Foshan, China
| | - Weineng Feng
- Department of Head and Neck/Thoracic Oncology, The First People's Hospital of Foshan, Foshan, China
| | - Xiaohong Xie
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinqing Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiexia Zhang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming Ouyang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yingying Gu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bing Li
- Burning Rock Biotech, Guangzhou, China
| | | | - Jing Liu
- Burning Rock Biotech, Guangzhou, China
| | - Suiyi Mai
- Burning Rock Biotech, Guangzhou, China
| | | | - Lu Zhang
- Burning Rock Biotech, Beijing, China
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Wang F, Xie X, Lin X, Xie Z, Qin Y, Zhang J, Ouyang M, Zhou C. P014 Diagnosis and Treatment Experience of 101 Patients with Advanced NSCLC Complicated with Chronic Obstructive Pulmonary Disease. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.10.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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38
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Zhou C, Xie Z, Qin Y, Xie X, Lin X, Zhang J, Ouyang M, Li B, Liu J, Mai S, Zhang L. P2.01-121 Genomic Profiling of Pulmonary Lymphoepithelioma-Like Carcinoma. J Thorac Oncol 2018. [DOI: 10.1016/j.jtho.2018.08.1176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Ouyang M, Wang X, Wang C, Song X. Bayesian semiparametric failure time models for multivariate censored data with latent variables. Stat Med 2018; 37:4279-4297. [DOI: 10.1002/sim.7916] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Revised: 04/13/2018] [Accepted: 06/27/2018] [Indexed: 11/11/2022]
Affiliation(s)
- Ming Ouyang
- Shenzhen Reseach Institute and Department of Statistics; The Chinese University of Hong Kong; Hong Kong
| | - Xiaoqing Wang
- Shenzhen Reseach Institute and Department of Statistics; The Chinese University of Hong Kong; Hong Kong
| | - Chunjie Wang
- School of Mathematics and Statistics; Changchun University of Technology; Changchun China
| | - Xinyuan Song
- Shenzhen Reseach Institute and Department of Statistics; The Chinese University of Hong Kong; Hong Kong
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Zhou F, Ma D, Ouyang M, Liu G, Zhu T, Yang Y. Repair mechanism of mesenchymal stem cells derived from nasal mucosa in orbital fracture. Am J Transl Res 2018; 10:1722-1729. [PMID: 30018713 PMCID: PMC6038081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2016] [Accepted: 04/19/2017] [Indexed: 06/08/2023]
Abstract
OBJECTIVE Mesenchymal stem cells (MSCs) derived from nasal mucosa are featured by high division and differentiation capacity, with large nuclei, obvious nucleoli and weak cytoplasmic basophily. Imaging examination, typically CT scan, is the gold standard for the diagnosis of orbital fracture. METHODS We isolated MSCs derived from goat nasal mucosa and built the calcification model so as to investigate the repair mechanism of nasal mucosa-derived MSCs in orbital fracture. Expressions of osteogenic markers Runx2, OCN, OPN and BSP were detected using western blot. RESULTS Nasal mucosa-derived MSCs were successfully isolated and passaged. Nestin was detected by immunofluorescence assay in the cells of the third generation. It was further confirmed that the isolated cells were nasal mucosa-derived MSCs. As indicated by alizarin red staining, the calcification model in nasal mucosa-derived MSCs was successfully built. The relative expressions of Runx2 and OCN reached the highest level after osteogenic induction for 7 d, and the expressions of OPN and BSP were also high. But at 10 d, the expressions of all markers declined somewhat. At 14 d, the expressions of OPN and BSP reached the peak, but without significant differences compared with those at 7 d. CONCLUSION The present study suggested that the repair effect of nasal mucosa-derived MSCs in orbital fracture is achieved by facilitating the expressions of osteogenic markers Runx2, OCN, OPN and BSP. However, the pathways of actions are unknown and further studies are required to elucidate the concrete mechanism.
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Affiliation(s)
- Feng Zhou
- Shenzhen Eye Hospital, Shenzhen Eye Centre, Jinan University, Shenzhen Key Laboratory of OphthalmologyShenzhen, Guangdong Province, China
- Department of Ophthalmology, Puai Hospital Affiliated to Tongji Medical College of Huazhong Science and Technology UniversityWuhan, Hubei, China
| | - Dahui Ma
- Shenzhen Eye Hospital, Shenzhen Eye Centre, Jinan University, Shenzhen Key Laboratory of OphthalmologyShenzhen, Guangdong Province, China
| | - Ming Ouyang
- Shenzhen Eye Hospital, Shenzhen Eye Centre, Jinan University, Shenzhen Key Laboratory of OphthalmologyShenzhen, Guangdong Province, China
| | - Guiqin Liu
- Shenzhen Eye Hospital, Shenzhen Eye Centre, Jinan University, Shenzhen Key Laboratory of OphthalmologyShenzhen, Guangdong Province, China
| | - Tianhui Zhu
- Shenzhen Eye Hospital, Shenzhen Eye Centre, Jinan University, Shenzhen Key Laboratory of OphthalmologyShenzhen, Guangdong Province, China
| | - Yun Yang
- Department of Ophthalmology, Puai Hospital Affiliated to Tongji Medical College of Huazhong Science and Technology UniversityWuhan, Hubei, China
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Abstract
Cocaine is a type of drug that functions to increase the availability of the neurotransmitter dopamine in the brain. However, cocaine dependence or abuse is highly related to an increased risk of psychiatric disorders and deficits in cognitive performance, attention, and decision-making abilities. Given the chronic and persistent features of drug addiction, the progression of abstaining from cocaine often evolves across several states, such as addiction to, moderate dependence on, and swearing off cocaine. Hidden Markov models (HMMs) are well suited to the characterization of longitudinal data in terms of a set of unobservable states, and have increasingly been used to uncover the dynamic heterogeneity in progressive diseases or activities. However, the existence of outliers or influential points may misidentify the hidden states and distort the associated inference. In this study, we develop a Bayesian local influence procedure for HMMs with latent variables in the presence of missing data. The proposed model enables us to investigate the dynamic heterogeneity of multivariate longitudinal data, reveal how the interrelationships among latent variables change from one state to another, and simultaneously conduct statistical diagnosis for the given data, model assumptions, and prior inputs. We apply the proposed procedure to analyze a dataset collected by the UCLA center for advancing longitudinal drug abuse research. Several outliers or influential points that seriously influence estimation results are identified and removed. The proposed procedure also discovers the effects of treatment and individuals' psychological problems on cocaine use behavior and delineates their dynamic changes across the cocaine-addiction states.
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Affiliation(s)
- Jingheng Cai
- a Department of Statistics , Sun Yat-sen University , Guangzhou , PR China
| | - Ming Ouyang
- b Department of Statistics , The Chinese University of Hong Kong , Hong Kong
| | - Kai Kang
- c Department of Statistics , The Chinese University of Hong Kong , Hong Kong
| | - Xinyuan Song
- d Shenzhen Research Institute & Department of Statistics , The Chinese University of Hong Kong , Hong Kong , China
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Qin YY, Zhang DH, Lin XQ, Ouyang M, Zhang JX, Xie ZH, Liu YQ, Li SY, Zhou CZ. [Clinical analysis of 36 cases of advanced non-small cell lung cancer (NSCLC) with performance status (PS) scores between 2 and 4]. Zhonghua Zhong Liu Za Zhi 2017; 39:855-861. [PMID: 29151293 DOI: 10.3760/cma.j.issn.0253-3766.2017.11.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To analyze the treatment of advanced non-small cell lung cancer (NSCLC) with performance status (PS) scores between 2 and 4, in order to improve the diagnosis and treatment of these patients. Methods: A total of 36 patients with advanced NSCLC with hypoxemia were reviewed. The clinical data of disease characteristics, etiology, complications, manifestation, therapy, progression, and secondary biopsy were collected. The clinical efficacy was graded according to the Response Evaluation Criteria In Solid Tumors (RECIST): complete response (CR), partial response (PR), stable disease (SD) and disease progression (PD). Results: All patients had hypoxemia, of whom 86.1% (31 patients) had complications and 55.6% (20 patients) had noninvasive ventilator for respiratory support. 77.8% (28 cases) received broad-spectrum antibiotic treatment, and 78.6% of them got lung osmotic relief after the anti-infection treatment. 15 cases received bedside fiberoptic bronchoscopy suction, of whom two cases were treated with airway stent deposition due to airway obstruction, four cases with thoracic drainage, four cases with anticoagulation, and one with thrombolytic therapy. After these supportive treatment, the PS score of these patients decreased from 3.4±0.5 to 2.5±0.7, while SPO(2) improved from (89.0±5.2)% to (95.0±3.5)%. As first-ling anti-cancer treatment, nine patients were administrated with targeted medicine orally, 13 patients with a combined chemotherapy of pemetrexed plus bevacizumab or carboplatin, eight patients with paclitaxel plus carboplatin, four patients with gemcitabine plus carboplatin, and two patients with docetaxel plus gemcitabine. In the first response evaluation, there were one case of CR, 23 cases of PR, four cases of SD, and eight cases of PD, with a clinical benefit rate of 66.7% and a disease control rate of 77.8%. A total of 22 patients experienced disease progression, of whom eight cases had a secondary biopsy and six cases had gene sequencing. Of these 36 patients, 10 (27.8%) patients survived at the last follow-up, with a progression-free survival of (10.0±6.5) months. Conclusion: Besides prompt anti-cancer treatment and best supportive treatment should be incorporated to improve PS and improve outcome.
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Affiliation(s)
- Y Y Qin
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - D H Zhang
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - X Q Lin
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - M Ouyang
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - J X Zhang
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - Z H Xie
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - Y Q Liu
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - S Y Li
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
| | - C Z Zhou
- The First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Diseases, National Clinical Research Center for Respiratory, Guangzhou respiratory health research institute, Guangzhou 510120, China
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43
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Shi YK, Zhang L, Zhang S, Shi M, Qin S, Wu C, Zhuang Z, Mao G, Hua D, Zhou X, Qu Y, Wang Y, Shi X, Hu C, Li W, Ouyang M, Chen L, Sun Y, Wu G, Sun Y. Humanized recombinant endostatin combined with vinorelbine plus cisplatin followed by maintenance therapy with humanized recombinant endostatin in advanced non-small cell lung cancer: A multicentre, double-blind, randomised phase 3 trial. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Zhou F, Ouyang M, Ma D, Liu G, Cheng H. Combined Surgery for Simultaneous Treatment of Congenital Ptosis and Coexisting Strabismus. J Pediatr Ophthalmol Strabismus 2017; 54:288-294. [PMID: 28510774 DOI: 10.3928/01913913-20170320-08] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2016] [Accepted: 12/12/2016] [Indexed: 11/20/2022]
Abstract
PURPOSE To evaluate the clinical outcomes of single-stage surgery for treatment of patients with congenital ptosis and coexisting strabismus. METHODS A retrospective analysis was performed on 10 patients (17 eyes) with congenital ptosis and coexisting strabismus. Patients were treated with levator resection or frontalis suspension for ptosis and ocular muscle surgery for strabismus, performed as a single-stage procedure. Levator resection was performed in 9 patients (15 eyes) and frontalis muscle flap suspension was performed in 1 patient (2 eyes) with blepharophimosis. Seven patients (11 eyes) simultaneously underwent exotropia correction, and inferior oblique myectomy was performed in 3 patients (3 eyes) with congenital superior oblique palsy. RESULTS Satisfactory efficacy of single-stage surgery for correction of congenital ptosis and coexisting strabismus was achieved without complications. CONCLUSIONS Comprehensive preoperative examination is vital to determine the appropriate diagnosis and guide surgical decision-making. Single-stage surgery for congenital ptosis and coexisting strabismus is effective and a shortened treatment period is beneficial to patients. [J Pediatr Ophthalmol Strabismus. 2017;54(5):288-294.].
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He M, Li S, Chen Y, Ouyang M, Chen P, Zhang J. 131I-chTNT injection to relieve tracheal obstruction in advanced NSCLC patient. Technol Health Care 2017; 24 Suppl 2:S513-9. [PMID: 27163312 DOI: 10.3233/thc-161176] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To relieve large airway obstruction in a patient with advanced non-small cell lung cancer (NSCLC) by injecting the mouse-human chimeric monoclonal antibody radiolabeled with iodine 131 chimeric tumor necrotic treatment (131I-chTNT) and to study the irradiation absorption in the tumor and critical organs. METHODS A 50-year-old patient with NSCLC was treated with radioimmunotherapy. His airway was still obstructed in spite of intensive chemotherapy and radiotherapy.131I-chTNT was injected into the tumor at the right bronchus through a fiberscope. A131I scan was performed during treatment, and a computed tomography (CT) scan of the chest and fiberscope were performed pre- and post-treatment.131I-chTNT distribution in tissues was followed for up to 4 weeks using gamma camera imaging. RESULTS The radiation material accumulated notably in the tumor, relieving the patient's symptoms by suppressing the tumor. Recanalization of the airway was achieved so that the patient was able to breathe easily and cough. CONCLUSION As a new type of radioimmunotherapy,131I-chTNT may be helpful in treatment of advanced lung cancer.
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Kwon AM, Ouyang M, Cheng A. Resampling-based Classification Using Depth for Functional Curves. COMMUN STAT-SIMUL C 2016. [DOI: 10.1080/03610918.2014.944652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Amy M. Kwon
- Human Genomics Laboratory, Korea University Ansan Medical Center, Seoul, Korea University, , Korea
- Department of Applied Statistics, Korea University, Seoul, Korea
| | - Ming Ouyang
- Department of Computer Science, University of Massachusetts, Boston, Massachusetts, USA
| | - Andrew Cheng
- FAA William J. Hughes Technical Center, New Jersey, USA
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Ouyang M, Xu LP, Wang Y, Zhu HH, Qin YZ, Lai YY, Liu YR, Jiang B, Huang XJ, Jiang H. [Clinical characteristics of acute myeloid leukemia with t (16;21) (p11;q22):nine cases report and literature review]. Zhonghua Xue Ye Xue Za Zhi 2016; 37:210-5. [PMID: 27033758 PMCID: PMC7342958 DOI: 10.3760/cma.j.issn.0253-2727.2016.03.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
目的 探讨t(16;21)(p11;q22)急性髓系白血病(AML)的生物学及临床特征、疗效及预后。 方法 回顾性分析2009年1月至2014年12月北京大学人民医院收治的9例初诊t(16;21)(p11;q22)AML患者临床资料,并汇总国外文献报道的42例患者,采用Kaplan-Meier法进行生存分析。 结果 9例t(16;21)(p11;q22) AML占同期AML患者的0.66%。9例患者中,男4例,女5例。FAB分型:M1 1例、M2 5例、M4 1例、M5 2例;其中3例在诊断时形态学可见空泡形成。免疫表型除表达髓系CD117、CD13、CD33及CD34外,均表达CD56。染色体G显带分析均可见t(16;21)(p11;q22),5例伴有复杂核型。所有患者均可检测到TLS/FUS-ERG融合基因。9例化疗后均获完全缓解(CR)。2例仅接受化疗的患者分别于诊断后5和16个月复发,并于10和27个月死亡。7例于缓解后接受异基因造血干细胞移植(allo-HSCT),中位生存21(11~46)个月。汇总文献报道的42例成人t(16;21)(p11;q22)AML患者,其中单纯化疗组27例,HSCT组15例,两组患者中位生存期分别为10(95% CI 1~17)个月及18(95% CI 2~76)个月,差异有统计学意义(P<0. 001)。 结论 t(16;21)(p11;q22) AML是一类少见的AML,其具有特殊的形态学及免疫表型特点,总体预后差,allo-HSCT治疗可改善其预后,推荐首次CR后行allo-HSCT治疗。
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Affiliation(s)
- M Ouyang
- Beijing University People's Hospital, Peking University Institute of Haematology, Beijing 100044, China
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Schifano JM, Cruz JW, Vvedenskaya IO, Edifor R, Ouyang M, Husson RN, Nickels BE, Woychik NA. tRNA is a new target for cleavage by a MazF toxin. Nucleic Acids Res 2016; 44:1256-70. [PMID: 26740583 PMCID: PMC4756823 DOI: 10.1093/nar/gkv1370] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 11/25/2015] [Indexed: 01/08/2023] Open
Abstract
Toxin-antitoxin (TA) systems play key roles in bacterial persistence, biofilm formation and stress responses. The MazF toxin from the Escherichia coli mazEF TA system is a sequence- and single-strand-specific endoribonuclease, and many studies have led to the proposal that MazF family members exclusively target mRNA. However, recent data indicate some MazF toxins can cleave specific sites within rRNA in concert with mRNA. In this report, we identified the repertoire of RNAs cleaved by Mycobacterium tuberculosis toxin MazF-mt9 using an RNA-seq-based approach. This analysis revealed that two tRNAs were the principal targets of MazF-mt9, and each was cleaved at a single site in either the tRNA(Pro14) D-loop or within the tRNA(Lys43) anticodon. This highly selective target discrimination occurs through recognition of not only sequence but also structural determinants. Thus, MazF-mt9 represents the only MazF family member known to target tRNA and to require RNA structure for recognition and cleavage. Interestingly, the tRNase activity of MazF-mt9 mirrors basic features of eukaryotic tRNases that also generate stable tRNA-derived fragments that can inhibit translation in response to stress. Our data also suggest a role for tRNA distinct from its canonical adapter function in translation, as cleavage of tRNAs by MazF-mt9 downregulates bacterial growth.
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Affiliation(s)
- Jason M Schifano
- Department of Biochemistry and Molecular Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - Jonathan W Cruz
- Department of Biochemistry and Molecular Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, USA
| | - Irina O Vvedenskaya
- Waksman Institute, Rutgers University, Piscataway, NJ, USA Department of Genetics, Rutgers University, Piscataway, NJ, USA
| | - Regina Edifor
- Division of Infectious Diseases, Boston Children's Hospital/Harvard Medical School, Boston, MA, USA
| | - Ming Ouyang
- Department of Computer Science, University of Massachusetts Boston, Boston, MA, USA
| | - Robert N Husson
- Division of Infectious Diseases, Boston Children's Hospital/Harvard Medical School, Boston, MA, USA
| | - Bryce E Nickels
- Waksman Institute, Rutgers University, Piscataway, NJ, USA Department of Genetics, Rutgers University, Piscataway, NJ, USA Member, Rutgers Cancer Institute of New Jersey, NJ, USA
| | - Nancy A Woychik
- Department of Biochemistry and Molecular Biology, Rutgers University, Robert Wood Johnson Medical School, Piscataway, NJ, USA Member, Rutgers Cancer Institute of New Jersey, NJ, USA
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Zeng X, Zhou C, Ouyang M, Qin Y, Yang H, Peng Y, Liu S. [Clinical efficacy of vitamin support in lung adenocarcinoma patients treated with pemetrexed second-line chemotherapy]. Zhonghua Zhong Liu Za Zhi 2015; 37:868-872. [PMID: 26887521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
OBJECTIVE To analyze the clinical efficacy and toxicity of vitamin support in lung adenocarcinoma patients treated with pemetrexed second-line chemotherapy. METHODS Two hundred and eighty-three patients with stage 3/4 lung adenocarcinoma treated at our hospital from August 2010 to August 2013 were included in this study. The lung adenocarcinomas in all the 283 patients were confirmed by pathology or cytology, all were EGFR-negative, and all patients received pemetrexed second line chemotherapy. The 283 patients were randomly divided into two groups: the improved treatment group (142 cases) and the conventional treatment group (141 cases). The patients of conventional treatment group received 400 µg folic acid per os daily for 7 days before the first dose of pemetrexed, and continued until 21 days after the last dose of pemetrexed. Besides, they received 1000 µg vitamin B12 injection at 7 days before the first dose of pemetrexed, and once per cycle of pemetrexed for 3 cycles after the last dose of pemetrexed. The patients of the improved treatment group took 400 µg folic acid daily per os from the day before the first dose to 21 days after the last dose of pemetrexed. They also received 500 µg vitamin B12 by injection one day before the first dose, and one day before each therapy cycle of pemetrexed therapy. RESULTS The mean number of cycles of pemetrexed chemotherapy was 4 in both groups. In the 142 patients of improved treatment group, complete response (CR) was observed in two cases, partial remission (PR) in 28, stable disease (SD) in 21, and progressive disease (PD) in 91 cases, with a total effective rate of 21.1%. While in the conventional treatment group, CR was observed in one case, PR in 27 cases, SD in 23 cases, and PD in 90 cases, with a total effective rate of 19.9%. The median progression-free survival (PFS) was 3.8 months in the improved treatment group and 4.2 months in the conventional treatment group (P=0.143). The toxicity of chemotherapy was mild in both groups, with no significant difference between the two groups (P>0.05). The most common side effects of hematological system were leukopenia and neutropenia, and the most common side effects of non-blood system were nausea and vomiting. The most common grade 3-4 toxic reaction in both groups was leukopenia and neutropenia, with no significant difference between the two groups (P>0.05). Multivariate analysis showed that the age of patients was an independent factor of grade 3-4 chemotherapy toxic reaction (P<0.05), while gender, the baseline level of PS score or blood system had no significant effect on the grade 3-4 chemotherapy toxic reaction (P>0.05). CONCLUSIONS Compared with the conventional treatment scheme, the improved treatment scheme has similar therapeutic effects and could be used more conveniently, while the toxic effects of chemotherapy are not increased at the same time. Our results indicate that pemetrexed-based chemotherapy does not need to delay the chemotherapy because of vitamin support treatment.
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Affiliation(s)
- Xiaoyuan Zeng
- Department of Respiratory Diseases, Changsha Central Hospital, Changsha 410011, China
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