1
|
Zheng X, Lu T, Wu S, Lin X, Bai J, Chen X, Miao Q, Yan J, Jiang K, Zhang L, Zheng X, Wang H, Xu Y, Xiao W, Li C, Peng W, Ding J, Zhong Q, Zou Z, Yang S, Li Y, Chen S, Zhang Q, Yan J, Tang G, Cai Y, kang M, Mok TSK, Lin G. A novel approach to evaluation of tumor response for advanced pulmonary adenocarcinoma using the intertumoral heterogeneity response score. MedComm (Beijing) 2024; 5:e493. [PMID: 38463396 PMCID: PMC10924640 DOI: 10.1002/mco2.493] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 01/19/2024] [Accepted: 01/28/2024] [Indexed: 03/12/2024] Open
Abstract
Treatment response and prognosis estimation in advanced pulmonary adenocarcinoma are challenged by the significant heterogeneity of the disease. The current Response Evaluation Criteria in Solid Tumors (RECIST) criteria, despite providing a basis for solid tumor response evaluation, do not fully encompass this heterogeneity. To better represent these nuances, we introduce the intertumoral heterogeneity response score (THRscore), a measure built upon and expanding the RECIST criteria. This retrospective study included patients with 3-10 measurable advanced lung adenocarcinoma lesions who underwent first-line chemotherapy or targeted therapy. The THRscore, derived from the coefficient of variation in size for each measurable tumor before and 4-6 weeks posttreatment, unveiled a correlation with patient outcomes. Specifically, a high THRscore was associated with shorter progression-free survival, lower tumor response rate, and a higher tumor mutation burden. These associations were further validated in an external cohort, confirming THRscore's effectiveness in stratifying patients based on progression risk and treatment response, and enhancing the utility of RECIST in capturing complex tumor behaviors in lung adenocarcinoma. These findings affirm the promise of THRscore as an enhanced tool for tumor response assessment in advanced lung adenocarcinoma, extending the RECIST criteria's utility.
Collapse
Affiliation(s)
- Xinlong Zheng
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Tao Lu
- Department of RadiologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Shiwen Wu
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Xiaoyan Lin
- Department of OncologyFujian Medical University Union HospitalFuzhouChina
| | - Jing Bai
- Department of ResearchGeneplus‐Beijing InstituteBeijingChina
| | - Xiaohui Chen
- Department of Thoracic SurgeryClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Qian Miao
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Jianqun Yan
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Kan Jiang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Longfeng Zhang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Xiaobing Zheng
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Haibo Wang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Yiquan Xu
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Weijin Xiao
- Department of PathologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Cao Li
- Department of PathologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Wenying Peng
- The Second Department of OncologyYunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer CenterKunmingChina
| | - Jianming Ding
- Department of Radiation OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Qiaofeng Zhong
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Zihua Zou
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Shanshan Yang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Yujing Li
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Sihui Chen
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Qiuyu Zhang
- Institute of ImmunotherapyFujian Medical UniversityFuzhouChina
| | - Jianfeng Yan
- College of ChemistryFuzhou UniversityFuzhouChina
| | - Guofeng Tang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Yuandong Cai
- College of ChemistryFuzhou UniversityFuzhouChina
| | - Miao kang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Tony S. K. Mok
- Department of Clinical OncologyState Key Laboratory of Translational OncologyChinese University of Hong KongShatin, Hong Kong Special Administrative RegionChina
| | - Gen Lin
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fujian Cancer HospitalFuzhouChina
- Interdisciplinary Institute for Medical EngineeringFuzhou UniversityFuzhouChina
| |
Collapse
|
2
|
Lin G, Wang Z, Chu Q, Hu Y, Huang D, Wang J, Yang F, Zhong W, Zhou C, Zhu B, Ai X, Cao B, Cao Y, Chen M, Chen X, Chu T, Duan J, Fan Y, Fang Y, Feng S, Feng W, Guo H, Han C, He Y, Hong S, Hu J, Huang M, Huang Y, Jiang D, Jiang K, Jiang R, Jin B, Jin S, Li J, Li M, Li Z, Li C, Lin J, Liu A, Liu SM, Yutao L, Liu Z, Liu Z, Liu Z, Liu Z, Liu Z, Lu Y, Lv T, Ma Z, Miao Q, Peng M, Pu X, Ren XB, Shan J, Shan J, Shen P, Shen B, Shi M, Song Y, Song Z, Su C, Sun J, Tian P, Wang J, Wang F, Wang H, Wang J, Wang Q, Wang W, Wang Y, Wu L, Wu F, Xia Y, Xie C, Xie C, Xin T, Xiong J, Xu H, Xu S, Xu Y, Xu B, Xu C, Yan X, Yang Z, Yao W, Yu Y, Feng Y, Yu Z, Yu Y, Yue D, Zhang H, Zhang H, Zhang L, Zhang L, Zhang Q, Zhang T, Zhang B, Zhao J, Zhao M, Zheng X, Zhong Q, Zhou J, Zhou P, Zhu Z, Zou J, Zou Z. Rechallenge of immune checkpoint inhibitors in advanced non-small cell lung cancer. Thorac Cancer 2024; 15:419-426. [PMID: 38219795 PMCID: PMC10864121 DOI: 10.1111/1759-7714.15209] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 12/12/2023] [Indexed: 01/16/2024] Open
Abstract
Immune checkpoint inhibitor (ICI) rechallenge in non-small cell lung cancer (NSCLC) is a promising therapeutic strategy. The situation for ICI rechallenge can be divided into three categories: adverse events (AEs); resistance to ICIs, and rechallenge becomes compulsive because of tumor relapse while the patients had completed a 2 year course of immunotherapy. However, these categories are still controversial and should be explored further. Through voting at the 6th Straits Summit Forum on Lung Cancer, in this study we summarize the consensus of 147 experts in ICI rechallenges. A total of 97.74% experts agreed to rechallenge; 48.87% experts rechallenge with the original drug, and the others rechallenge with a different drug; 40.3% agreed to rechallenge directly after progression; 88.06% experts agreed to ICI rechallenge with a combination regimen; and factors such as previous performance status score, PD-1 expression, and age should also be considered. Understanding the the clinical studies in ICI rechallenge could bring us one step closer to understanding the consensus. In patients with advanced NSCLC who have suffered recurrent or distant metastasis after immunotherapy, the option of rechallenge with ICIs is a promising treatment option.
Collapse
Affiliation(s)
- Gen Lin
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Zhijie Wang
- Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Qian Chu
- Department of Oncology, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Yi Hu
- Senior Department of OncologyChinese PLA General HospitalBeijingChina
| | - Dingzhi Huang
- Department of Thoracic OncologyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Jun Wang
- Department of OncologyThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan HospitalJi'nanChina
| | - Fan Yang
- Department of Thoracic SurgeryPeking University People's HospitalBeijingChina
| | - Wenzhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical SciencesGuangzhouChina
| | - Chengzhi Zhou
- 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 DiseasesThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouChina
| | - Bo Zhu
- Institute of Cancer, Xinqiao HospitalArmy Medical UniversityChongqingChina
| | - Xinghao Ai
- Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Baoshan Cao
- Department of Medical Oncology and Radiation Sickness, Cancer CenterPeking University Third HospitalBeijingChina
| | - Yabing Cao
- Department of oncologyKiang Wu HospitalMacauChina
| | - Mingqiu Chen
- Department of Thoracic Radiation OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Xiaohui Chen
- Department of Thoracic SurgeryClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Tianqing Chu
- Respiratory Department, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jianchun Duan
- Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Yun Fan
- Department of Medical OncologyZhejiang Cancer HospitalHangzhouChina
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw HospitalZhenjiang University School of MedicineHangzhouChina
| | - Shuitu Feng
- Department of Medical OncologyFudan University Shanghai Cancer Center Xiamen HospitalXiamenChina
| | - Weineng Feng
- Department of Pulmonary OncologyThe First People's Hospital of FoshanFoshanChina
| | - Hui Guo
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Chengbo Han
- Department of OncologyShengjing Hospital of China Medical UniversityShenyangChina
| | - Yong He
- Department of Respiratory Medicine, Xinqiao HospitalArmy Medical UniversityChongqingChina
| | - Shaodong Hong
- State Key Laboratory of Oncology in Southern ChinaSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Jie Hu
- Shanghai Geriatric Center, Zhongshan HospitalFudan UniversityShanghaiChina
| | - Meijuan Huang
- Division of Thoracic Tumor Multimodality Treatment and Department of Medical Oncology, Cancer Center, West China HospitalSichuan UniversityChengduChina
| | - Yan Huang
- State Key Laboratory of Oncology in Southern ChinaSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Da Jiang
- Department of OncologyThe Fourth Affiliated Hospital of Hebei Medical UniversityShijiazhuangChina
| | - Kan Jiang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Richeng Jiang
- Department of Thoracic OncologyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Bo Jin
- Department of Medical OncologyThe First affiliated hospital of China Medical UniversityShenyangChina
| | - Shi Jin
- National Cancer Center/National Clinical Research Cencer for Cancer/Cancer Hospital &Shenzhen HospitalChinese Academy of Medical Sciences and Perking Union Medical CollegeShenzhenChina
| | - Jisheng Li
- Department of Medical OncologyQilu Hospital of Shandong UniversityJi'nanChina
| | - Min Li
- Department of Respiratory Medicine, Xiangya HospitalCentral South UniversityChangshaChina
| | - Ziming Li
- Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chao Li
- Department of PathologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Jie Lin
- Department of Medical OncologyThe Second Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Anwen Liu
- Department of Medical OncologyThe Second Affiliated Hospital of Nanchang UniversityNanchangChina
| | - Si‐Yang Maggie Liu
- Department of Hematology, First Affiliated HospitalJi'nan UniversityGuangzhouChina
| | - Liu Yutao
- Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Zhefeng Liu
- Senior Department of OncologyChinese PLA General HospitalBeijingChina
| | - Zhe Liu
- Department of Medical Oncology, Beijing Chest HospitalCapital Medical UniversityBeijingChina
| | - Zhenhua Liu
- Department of OncologyShengli Clinical Medical College of Fujian Medical University, Fujian Provincial HospitalFuzhouChina
| | - Zhentian Liu
- Department of Thoracic OncologyJiangxi Cancer HospitalNanchangChina
| | - Zhigang Liu
- Cancer CenterThe 10th Affiliated Hospital of Southern Medical UniversityDongguanChina
| | - Yuping Lu
- Department of Abdominal OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Tangfeng Lv
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingChina
| | - Zhiyong Ma
- Department of Respiratory MedicineHenan cancer Hospital, Affiliated Cancer Hospital of Zhengzhou UniversityZhengzhouChina
| | - Qian Miao
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Min Peng
- Cancer cenrterRenmin Hospital of Wuhan UniversityWuhanChina
| | - Xingxiang Pu
- Department of Thoracic Medical Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaChina
| | - Xiu Bao Ren
- Department of BiotherapyTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Jianzhen Shan
- Department of Medical OncologyThe First Affiliated Hospital of Zhejiang UniversityZhejiangChina
| | - Jinlu Shan
- Department of Medical Oncology, Daping HospitalArmy Medical UniversityChongqingChina
| | - Peng Shen
- Department of Oncology, Nanfang HospitalSouthern Medical UniversityGuangzhouChina
| | - Bo Shen
- Department of Medical OncologyJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research and Affiliated Cancer Hospital of Nanjing Medical UniversityNanjingChina
| | - Meiqi Shi
- Department of Medical OncologyJiangsu Cancer Hospital, Jiangsu Institute of Cancer Research and Affiliated Cancer Hospital of Nanjing Medical UniversityNanjingChina
| | - Yong Song
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingChina
| | - Zhengbo Song
- Department of Clinical TrialZhejiang Cancer HospitalHangzhouChina
| | - ChunXia Su
- Department of OncologyShanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of MedicineShanghaiChina
| | - Jianguo Sun
- Institute of Cancer, Xinqiao HospitalArmy Medical UniversityChongqingChina
| | - Panwen Tian
- Precision Medicine Key Laboratory of Sichuan Province, Department of Pulmonary and Critical Care Medicine, Lung Cancer Center, West China HospitalSichuan UniversityChengduChina
| | - Jinliang Wang
- Senior Department of OncologyChinese PLA General HospitalBeijingChina
| | - Feng Wang
- Department of Thoracic SurgeryClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Huijuan Wang
- Department of Respiratory MedicineHenan cancer Hospital, Affiliated Cancer Hospital of Zhengzhou UniversityZhengzhouChina
| | - Jialei Wang
- Department of Thoracic Medical OncologyFudan University Shanghai Cancer CenterShanghaiChina
| | - Qian Wang
- Department of Respiratory MedicineAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese MedicineNanjingChina
| | - Wenxian Wang
- Department of Medical OncologyZhejiang Cancer HospitalHangzhouChina
| | - Yan Wang
- Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Lin Wu
- Department of Thoracic Medical Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaChina
| | - Fang Wu
- Department of Oncology, The Second Xiangya HospitalCentral South UniversityChangshaChina
| | - Yang Xia
- Department of Respiratory and Critical Care MedicineSecond Affiliated Hospital of Zhejiang University School of MedicineHangzhouChina
| | - Congying Xie
- Department of Radiation and Medical OncologySecond Affiliated Hospital of Wenzhou Medical UniversityWenzhouChina
| | - Conghua Xie
- Department of Pulmonary OncologyZhongnan Hospital of Wuhan UniversityWuhanChina
| | - Tao Xin
- Department of OncologyThe Second Affiliated Hospital of Harbin Medical UniversityHarbinChina
| | - Jianping Xiong
- Department of OncologyThe First Affiliated Hospital of Nanchang UniversityNanchangChina
| | - Haipeng Xu
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Song Xu
- Department of Lung Cancer SurgeryTianjin Medical University General HospitalTianjinChina
| | - Yiquan Xu
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Bin Xu
- Cancer cenrterRenmin Hospital of Wuhan UniversityWuhanChina
| | - Chunwei Xu
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingChina
| | - Xiaolong Yan
- Department of Thoracic Surgery, Tangdu HospitalAir Force Medical UniversityXi'anChina
| | - Zhenzhou Yang
- Department of Cancer CenterThe Second Affiliated Hospital of Chongqing Medical UniversityChongqingChina
| | - Wenxiu Yao
- Department of Medical Oncology, Sichuan Cancer HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Yao Yu
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Ye Feng
- Department of Medical Oncology, Xiamen Key Laboratory of Antitumor Drug Transformation ResearchThe First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen UniversityXiamenChina
| | - Zongyang Yu
- Department of Respiratory MedicineThe 900th Hospital of the Joint Logistic Support Force, People's Liberation Army of ChinaFuzhouChina
| | - Yongfeng Yu
- Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Dongsheng Yue
- Department of Lung CancerTianjin Medical University Cancer Institute and HospitalTianjinChina
| | - Haibo Zhang
- Department of OncologyGuangdong Provicial Hospital of Chinese MedicineGuangzhouChina
| | - HongMei Zhang
- Department of Clinical Oncology, Xijing HospitalAir Force Medical UniversityXi'anChina
| | - Li Zhang
- Department of Oncology, Tongji HospitalTongji Medical College, Huazhong University of Science and TechnologyWuhanChina
| | - Longfeng Zhang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Qiuyu Zhang
- Institute of ImmunotherapyFujian Medical UniversityFuzhouChina
| | - Tongmei Zhang
- Department of Medical Oncology, Beijing Chest HospitalCapital Medical UniversityBeijingChina
| | - Bicheng Zhang
- Cancer cenrterRenmin Hospital of Wuhan UniversityWuhanChina
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department I of Thoracic OncologyPeking University Cancer Hospital and InstituteBeijingChina
| | - Mingfang Zhao
- Department of Medical OncologyThe First affiliated hospital of China Medical UniversityShenyangChina
| | - Xiaobin Zheng
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Qiaofeng Zhong
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| | - Jin Zhou
- Department of Medical Oncology, Sichuan Cancer HospitalUniversity of Electronic Science and Technology of ChinaChengduChina
| | - Penghui Zhou
- State Key Laboratory of Oncology in Southern ChinaSun Yat‐sen University Cancer CenterGuangzhouChina
| | - Zhengfei Zhu
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiChina
| | - Juntao Zou
- Department of Respiratory MedicineThe First Affiliated Hospital of Nanchang UniversityNanchangChina
| | - Zihua Zou
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouChina
| |
Collapse
|
3
|
Zou Z, Xu LL, Wang QY, Li Q, Zhu JD, Xu L. Study on the correlation between dietary structure and sleep in patients with insomnia disorder. Eur Rev Med Pharmacol Sci 2023; 27:11876-11881. [PMID: 38164851 DOI: 10.26355/eurrev_202312_34786] [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: 01/03/2024]
Abstract
OBJECTIVE Insomnia disorder (ID) is a persistent difficulty sleeping, often accompanied by anxiety and depression, which seriously reduces a person's quality of life. Dietary changes in insomnia patients have been a concern. To explore the rationality of diet in patients with ID and its correlation with insomnia in ID patients. PATIENTS AND METHODS This study included 216 patients diagnosed with ID and 197 individuals as the healthy control (HC) group who attended the neurology outpatient clinic or sleep clinic at Henan Provincial People's Hospital between September 2018 and November 2019. Through the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD), sleep and mental conditions were assessed in the ID and HC groups. The dietary intake structure of both groups was observed using the food frequency table. Meanwhile, the relationship between dietary intake and sleep quality was analyzed based on the logistics regression. RESULTS Individuals in the ID group had significantly higher age, weight, and body mass index compared to the HC group (p<0.01). Individuals within the ID category demonstrated a heightened daily consumption of carbohydrates, grains, tubers, and legumes relative to the healthy control group. In contrast, the intake levels of vegetables, fruits, and nuts were diminished compared to the HC group, with this difference being statistically significant (p<0.01). A positive correlation was observed between the daily consumption of grains, tubers, and legumes and PSQI scores. Conversely, a negative association was found between daily consumption of vegetables and fruits. CONCLUSIONS ID patients exhibit an elevated intake of carbohydrates, whereas the consumption of vegetables, fruits, and nuts is deficient in comparison to the healthy cohort, implying that a distorted dietary structure might be a contributing factor to ID onset. Sensible and scientific dietary guidance is of considerable significance in preventing the onset of ID and facilitating its management. However, the derived conclusions warrant further extensive research.
Collapse
Affiliation(s)
- Z Zou
- Department of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
| | | | | | | | | | | |
Collapse
|
4
|
Huang D, Lin G, Chu Q, Hu Y, Wang J, Wang Z, Yang F, Zhong W, Zhou C, Zhu B, Ai X, Cao B, Cao Y, Chen M, Chen X, Chu T, Duan J, Fan Y, Fang Y, Feng S, Feng W, Guo H, Han C, He Y, Hong S, Hu J, Huang M, Huang Y, Jiang D, Jiang K, Jiang R, Jin B, Jin S, Li J, Li M, Li Z, Li C, Lin J, Liu A, Liu SM, Liu Y, Liu Z, Liu Z, Liu Z, Liu Z, Liu Z, Lu Y, Lv T, Ma Z, Miao Q, Peng M, Pu X, Ren XB, Shan J, Shan J, Shen P, Shen B, Shi M, Song Y, Song Z, Su C, Sun J, Tian P, Wang J, Wang F, Wang H, Wang J, Wang Q, Wang W, Wang Y, Wu L, Wu F, Xia Y, Xie C, Xie C, Xin T, Xiong J, Xu H, Xu S, Xu Y, Xu B, Xu C, Yan X, Yang Z, Yao W, Yu Y, Feng Y, Yu Z, Yu Y, Yue D, Zhang H, Zhang H, Zhang L, Zhang L, Zhang Q, Zhang T, Zhang B, Zhao J, Zhao M, Zheng X, Zhong F, Zhou J, Zhou P, Zhu Z, Zou J, Zou Z. Clinical definition of secondary resistance to immunotherapy in non-small cell lung cancer. Thorac Cancer 2023; 14:3421-3429. [PMID: 37963454 PMCID: PMC10693946 DOI: 10.1111/1759-7714.15157] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 10/29/2023] [Indexed: 11/16/2023] Open
Abstract
Immune checkpoint inhibitors (PD-1/PD-L1 and CTLA-4 blockade) have revolutionized the treatment landscape in non-small cell lung cancer (NSCLC). Secondary resistance to immunotherapy (IO), which poses a substantial challenge in clinical settings, occurs in several initial responders. Currently, new treatment approaches have been extensively evaluated in investigational studies for these patients to tackle this difficult problem; however, the lack of consistency in clinical definition, uniform criteria for enrollment in clinical trials, and interpretation of results remain significant hurdles to progress. Thus, our expert panel comprehensively synthesized data from current studies to propose a practical clinical definition of secondary resistance to immunotherapy in NSCLC in metastatic and neoadjuvant settings. In addition to patients who received IO alone (including IO-IO combinations), we also generated a definition for patients treated with chemotherapy plus IO. This consensus aimed to provide guidance for clinical trial design and facilitate future discussions with investigators. It should be noted that additional updates in this consensus are required when new data is available.
Collapse
Affiliation(s)
- Dingzhi Huang
- Department of Thoracic OncologyTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Gen Lin
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Yi Hu
- Senior Department of OncologyChinese PLA General HospitalBeijingPeople's Republic of China
| | - Jun Wang
- Department of OncologyThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan HospitalJi'nanPeople's Republic of China
| | - Zhijie Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Fan Yang
- Department of Thoracic SurgeryPeking University People HospitalBeijingPeople's Republic of China
| | - Wenzhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People's HospitalGuangdong Academy of Medical SciencesGuangzhouPeople's Republic of China
| | - Chengzhi Zhou
- 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 DiseasesThe First Affiliated Hospital of Guangzhou Medical UniversityGuangzhouPeople's Republic of China
| | - Bo Zhu
- Institute of Cancer, Xinqiao HospitalArmy Medical UniversityChongqingPeople's Republic of China
| | - Xinghao Ai
- Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiPeople's Republic of China
| | - Baoshan Cao
- Cancer centerPeking University Third Hospital/ Department of medical oncology and radiation sickness, Peking University Third HospitalBeijingPeople's Republic of China
| | - Yabing Cao
- Department of oncologyKiang Wu HospitalMacauPeople's Republic of China
| | - Mingqiu Chen
- Department of Thoracic Radiation Oncology, Clinical Oncology School of Fujian Medical UniversityFujian Cancer HospitalFuzhouPeople's Republic of China
| | - Xiaohui Chen
- Department of Thoracic Surgery, Clinical Oncology School of Fujian Medical UniversityFujian Cancer HospitalFuzhouPeople's Republic of China
| | - Tianqing Chu
- Respiratory Department, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiPeople's Republic of China
| | - Jianchun Duan
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Yun Fan
- Department of Medical OncologyZhejiang Cancer HospitalHangzhouPeople's Republic of China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw HospitalZhenjiang University School of MedicineHangzhouPeople's Republic of China
| | - Shuitu Feng
- Department of Medical OncologyFudan University Shanghai Cancer Center Xiamen HospitalXiamenPeople's Republic of China
| | - Weineng Feng
- Department of Pulmonary OncologyThe First People's Hospital of FoshanFoshanPeople's Republic of China
| | - Hui Guo
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anPeople's Republic of China
| | - Chengbo Han
- Department of OncologyShengjing Hospital of China Medical UniversityShenyangPeople's Republic of China
| | - Yong He
- Department of Respiratory Medicine, Xinqiao HospitalArmy Medical UniversityChongqingPeople's Republic of China
| | - Shaodong Hong
- State Key Laboratory of Oncology in Southern ChinaSun Yat‐sen University Cancer CenterGuangzhouPeople's Republic of China
| | - Jie Hu
- Zhongshan Hospital, Fudan UniversityShanghai Geriatric CenterShanghaiPeople's Republic of China
| | - Meijuan Huang
- Division of Thoracic Tumor Multimodality Treatment and Department of Medical Oncology, Cancer Center, West China HospitalSichuan UniversityChengduPeople's Republic of China
| | - Yan Huang
- State Key Laboratory of Oncology in Southern ChinaSun Yat‐sen University Cancer CenterGuangzhouPeople's Republic of China
| | - Da Jiang
- Department of OncologyThe Fourth Affiliated Hospital of Hebei Medical UniversityShijiazhuangPeople's Republic of China
| | - Kan Jiang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Richeng Jiang
- Department of Thoracic OncologyTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Bo Jin
- Department of Medical OncologyThe First affiliated hospital of China Medical UniversityShenyangPeople's Republic of China
| | - Shi Jin
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital &Shenzhen HospitalChinese Academy of Medical Sciences and Perking Union Medical CollegeShenzhenPeople's Republic of China
| | - Jisheng Li
- Department of Medical OncologyQilu Hospital of Shandong UniversityJi'nanPeople's Republic of China
| | - Min Li
- Department of Respiratory Medicine, Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Ziming Li
- Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiPeople's Republic of China
| | - Chao Li
- Department of PathologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Jie Lin
- Department of Medical OncologyThe Second Affiliated Hospital of Kunming Medical UniversityKunmingPeople's Republic of China
| | - Anwen Liu
- Department of Medical OncologyThe Second Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Si‐Yang Maggie Liu
- Department of Hematology, First Affiliated HospitalJi'nan UniversityGuangzhouPeople's Republic of China
| | - Yutao Liu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Zhefeng Liu
- Senior Department of OncologyChinese PLA General HospitalBeijingPeople's Republic of China
| | - Zhe Liu
- Department of Medical Oncology, Beijing Chest HospitalCapital Medical UniversityBeijingPeople's Republic of China
| | - Zhenhua Liu
- Department of Oncology, Shengli Clinical Medical College of Fujian Medical UniversityFujian Provincial HospitalFuzhouPeople's Republic of China
| | - Zhentian Liu
- Department of Thoracic Oncology,Jiangxi Cancer HospitalNanchangPeople's Republic of China
| | - Zhigang Liu
- Cancer CenterThe 10th Affiliated Hospital of Southern Medical UniversityDongguanPeople's Republic of China
| | - Yuping Lu
- Department of Abdominal OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Tangfeng Lv
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Zhiyong Ma
- Department of Respiratory MedicineHenan Cancer Hospital /Affiliated Cancer Hospital of Zhengzhou UniversityZhengzhouPeople's Republic of China
| | - Qian Miao
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Min Peng
- Cancer centerRenmin Hospital of Wuhan UniversityWuhanPeople's Republic of China
| | - Xingxiang Pu
- Department of Thoracic Medical Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaPeople's Republic of China
| | - Xiu Bao Ren
- Department of BiotherapyTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Jianzhen Shan
- Department of Medical OncologyThe First Affiliated Hospital of Zhejiang UniversityZhejiangPeople's Republic of China
| | - Jinlu Shan
- Department of Medical Oncology, Daping HospitalArmy Medical UniversityChongqingPeople's Republic of China
| | - Peng Shen
- Department of Oncology, Nanfang HospitalSouthern Medical UniversityGuangzhouPeople's Republic of China
| | - Bo Shen
- Department of Medical OncologyJiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and Affiliated Cancer Hospital of Nanjing Medical UniversityNanjingPeople's Republic of China
| | - Meiqi Shi
- Department of Medical OncologyJiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and Affiliated Cancer Hospital of Nanjing Medical UniversityNanjingPeople's Republic of China
| | - Yong Song
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Zhengbo Song
- Department of Clinical TrialZhejiang Cancer HospitalHangzhouPeople's Republic of China
| | - ChunXia Su
- Department of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer InstituteTongji University School of MedicineShanghaiPeople's Republic of China
| | - Jianguo Sun
- Institute of Cancer, Xinqiao HospitalArmy Medical UniversityChongqingPeople's Republic of China
| | - Panwen Tian
- Department of Pulmonary and Critical Care Medicine, Lung Cancer Center, West China HospitalSichuan University, Precision Medicine Key Laboratory of Sichuan ProvinceChengduPeople's Republic of China
| | - Jinliang Wang
- Senior Department of OncologyChinese PLA General HospitalBeijingPeople's Republic of China
| | - Feng Wang
- Department of Thoracic Surgery, Clinical Oncology School of Fujian Medical UniversityFujian Cancer HospitalFuzhouPeople's Republic of China
| | - Huijuan Wang
- Department of Respiratory MedicineHenan Cancer Hospital /Affiliated Cancer Hospital of Zhengzhou UniversityZhengzhouPeople's Republic of China
| | - Jialei Wang
- Department of Thoracic Medical OncologyFudan University Shanghai Cancer CenterShanghaiPeople's Republic of China
| | - Qian Wang
- Department of Respiratory Medicine, Affiliated Hospital of Nanjing University of Chinese MedicineJiangsu Province Hospital of Chinese MedicineNanjingPeople's Republic of China
| | - Wenxian Wang
- Department of Medical OncologyZhejiang Cancer HospitalHangzhouPeople's Republic of China
| | - Yan Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingPeople's Republic of China
| | - Lin Wu
- Department of Thoracic Medical Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of MedicineCentral South UniversityChangshaPeople's Republic of China
| | - Fang Wu
- Department of Oncology, The Second Xiangya HospitalCentral South UniversityChangshaPeople's Republic of China
| | - Yang Xia
- Department of Respiratory and Critical Care MedicineSecond Affiliated Hospital of Zhejiang University School of MedicineHangzhouPeople's Republic of China
| | - Congying Xie
- Department of Radiation and Medical OncologySecond Affiliated Hospital of Wenzhou Medical UniversityWenzhouPeople's Republic of China
| | - Conghua Xie
- Department of Pulmonary OncologyZhongnan Hospital of Wuhan UniversityWuhanPeople's Republic of China
| | - Tao Xin
- Department of OncologyThe Second Affiliated Hospital of Harbin Medical UniversityHarbinPeople's Republic of China
| | - Jianping Xiong
- Department of OncologyThe First Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Haipeng Xu
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Song Xu
- Department of Lung Cancer SurgeryTianjin Medical University General HospitalTianjinPeople's Republic of China
| | - Yiquan Xu
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Bin Xu
- Cancer centerRenmin Hospital of Wuhan UniversityWuhanPeople's Republic of China
| | - Chunwei Xu
- Department of Respiratory Medicine, Affiliated Jinling HospitalMedical School of Nanjing UniversityNanjingPeople's Republic of China
| | - Xiaolong Yan
- Department of Thoracic Surgery, Tangdu HospitalAir Force Medical UniversityXi'anPeople's Republic of China
| | - Zhenzhou Yang
- Department of Cancer CenterThe Second Affiliated Hospital of Chongqing Medical UniversityChongqingPeople's Republic of China
| | - Wenxiu Yao
- Department of Medical Oncology, Sichuan Cancer HospitalUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Yao Yu
- Department of Medical OncologyThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anPeople's Republic of China
| | - Ye Feng
- Department of Medical Oncology, Xiamen Key Laboratory of Antitumor Drug Transformation ResearchThe First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen UniversityXiamenPeople's Republic of China
| | - Zongyang Yu
- Department of Respiratory Medicine, The 900th Hospital of the Joint Logistic Support ForcePeople's Liberation Army of ChinaFuzhouPeople's Republic of China
| | - Yongfeng Yu
- Shanghai Lung Cancer Center, Shanghai Chest HospitalShanghai Jiao Tong University School of MedicineShanghaiPeople's Republic of China
| | - Dongsheng Yue
- Department of Lung CancerTianjin Medical University Cancer Institute and HospitalTianjinPeople's Republic of China
| | - Haibo Zhang
- Department of OncologyGuangdong Provincial Hospital of Chinese MedicineGuangzhouPeople's Republic of China
| | - HongMei Zhang
- Department of Clinical Oncology, Xijing HospitalAir Force Medical UniversityXi'anPeople's Republic of China
| | - Li Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanPeople's Republic of China
| | - Longfeng Zhang
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Qiuyu Zhang
- Institute of ImmunotherapyFujian Medical UniversityFuzhouPeople's Republic of China
| | - Tongmei Zhang
- Department of Medical Oncology, Beijing Chest HospitalCapital Medical UniversityBeijingPeople's Republic of China
| | - Bicheng Zhang
- Cancer centerRenmin Hospital of Wuhan UniversityWuhanPeople's Republic of China
| | - Jun Zhao
- Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing), Department I of Thoracic OncologyPeking University Cancer Hospital and InstituteBeijingPeople's Republic of China
| | - Mingfang Zhao
- Department of Medical OncologyThe First affiliated hospital of China Medical UniversityShenyangPeople's Republic of China
| | - Xiaobin Zheng
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Fengqiao Zhong
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| | - Jin Zhou
- Department of Medical Oncology, Sichuan Cancer HospitalUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Penghui Zhou
- State Key Laboratory of Oncology in Southern ChinaSun Yat‐sen University Cancer CenterGuangzhouPeople's Republic of China
| | - Zhengfei Zhu
- Department of Radiation OncologyFudan University Shanghai Cancer CenterShanghaiPeople's Republic of China
| | - Juntao Zou
- Department of Respiratory MedicineThe First Affiliated Hospital of Nanchang UniversityNanchangPeople's Republic of China
| | - Zihua Zou
- Department of Thoracic OncologyClinical Oncology School of Fujian Medical University, Fujian Cancer HospitalFuzhouPeople's Republic of China
| |
Collapse
|
5
|
Miao Q, Zheng X, Li L, Zheng X, Zhang L, Jiang K, Wu S, Wang H, Wu B, Xu Y, Zhong Q, Zou Z, Zhang Q, Yang S, Li Y, Lin G. Cerebrospinal fluid circulating tumor DNA contributes to the detection and characterization of leptomeningeal metastasis in non-small cell lung cancer. J Neurooncol 2023; 165:517-525. [PMID: 38104049 DOI: 10.1007/s11060-023-04520-2] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 11/21/2023] [Indexed: 12/19/2023]
Abstract
PURPOSE Cerebrospinal fluid (CSF) has revealed the unique genetic characteristics of leptomeningeal metastasis (LM) from non-small cell lung cancer (NSCLC). However, the research in this area is still very limited. METHODS Patients with LM from NSCLC (n = 80) were retrospectively analyzed. Circulating tumor DNA (ctDNA) in CSF was tested by next-generation sequencing (NGS), with paired extracranial tissue or plasma samples included for comparison. An independent non-LM cohort (n = 100) was also analyzed for comparative purposes. Clinical outcomes were compared with Kaplan-Meier log-rank test and Cox proportional hazards methodologies. RESULTS An overwhelming 93.8% of patients carried druggable mutations in NSCLC LM, with EGFR (78.8%) being the most prevalent. Notably, 4 patients who tested negative for driver genes in extracranial samples surprisingly showed EGFR mutations in their CSF and subsequently benefited from targeted therapy. There was a clear difference in genetic profiles between CSF and extracranial samples, with CSF showing more driver gene detections, increased Copy Number Variations (CNVs), and varied resistance mechanisms among individuals. Abnormalities in cell-cycle regulatory molecules were highly enriched in LM (50.9% vs 31.0%, p = 0.017), and CDKN2A/2B deletions were identified as an independent poor prognostic factor for LM patients, with a significant reduction in median OS (p = 0.013), supported by multivariate analysis (HR 2.63, 95% CI 1.32-5.26, p = 0.006). CONCLUSIONS CSF-based ctDNA analysis is crucial for detecting and characterizing genetic alterations in NSCLC LM. The distinct genetic profiles in CSF and extracranial tissues emphasize the need for personalized treatment approaches.
Collapse
Affiliation(s)
- Qian Miao
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xinlong Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Lifeng Li
- Geneplus-Beijing Institute, Beijing, China
| | - Xiaobin Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Longfeng Zhang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Kan Jiang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Shiwen Wu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Haibo Wang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Biao Wu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yiquan Xu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Qiaofeng Zhong
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Zihua Zou
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Qiuyu Zhang
- Institute of Immunotherapy, Fujian Medical University, Fuzhou, China
| | - Shanshan Yang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yujing Li
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Gen Lin
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
- Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China.
- Interdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou, China.
| |
Collapse
|
6
|
Zhu Y, Liu C, Xu Z, Zou Z, Xie T, Xing P, Wang L, Li J. Front-line therapy for brain metastases and non-brain metastases in advanced epidermal growth factor receptor-mutated non-small cell lung cancer: a network meta-analysis. Chin Med J (Engl) 2023; 136:2551-2561. [PMID: 37160733 PMCID: PMC10617931 DOI: 10.1097/cm9.0000000000002468] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND The brain is a common metastatic site in patients with non-small cell lung cancer (NSCLC), resulting in a relatively poor prognosis. Systemic therapy with epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) is recommended as the first-line treatment for EGFR -mutated, advanced NSCLC patients. However, intracranial activity varies in different drugs. Thus, brain metastasis (BM) should be considered when choosing the treatment regimens. We conducted this network meta-analysis to explore the optimal first-line therapeutic schedule for advanced EGFR -mutated NSCLC patients with different BM statuses. METHODS Randomized controlled trials focusing on EGFR-TKIs (alone or in combination) in advanced and EGFR -mutant NSCLC patients, who have not received systematic treatment, were systematically searched up to December 2021. We extracted and analyzed progression-free survival (PFS) and overall survival (OS). A network meta-analysis was performed with the Bayesian statistical model to determine the survival outcomes of all included therapy regimens using the R software. Hazard ratios (HRs) and 95% confidence intervals (CIs) were used to compare intervention measures, and overall rankings of therapies were estimated under the Bayesian framework. RESULTS This analysis included 17 RCTs with 5077 patients and 12 therapies, including osimertinib + bevacizumab, aumolertinib, osimertinib, afatinib, dacomitinib, standards of care (SoC, including gefitinib, erlotinib, or icotinib), SoC + apatinib, SoC + bevacizumab, SoC + ramucirumab, SoC + pemetrexed based chemotherapy (PbCT), PbCT, and pemetrexed free chemotherapy (PfCT). For patients with BM, SoC + PbCT improved PFS compared with SoC (HR = 0.40, 95% CI: 0.17-0.95), and osimertinib + bevacizumab was most likely to rank first in PFS, with a cumulative probability of 34.5%, followed by aumolertinib, with a cumulative probability of 28.3%. For patients without BM, osimertinib + bevacizumab, osimertinib, aumolertinib, SoC + PbCT, dacomitinib, SoC + ramucirumab, SoC + bevacizumab, and afatinib showed superior efficacy compared with SoC (HR = 0.43, 95% CI: 0.20-0.90; HR = 0.46, 95% CI: 0.31-0.68; HR = 0.51, 95% CI: 0.34-0.77; HR = 0.50, 95% CI: 0.38-0.66; HR = 0.62, 95% CI: 0.43-0.89; HR = 0.64, 95% CI: 0.44-0.94; HR = 0.61, 95% CI: 0.48-0.76; HR = 0.71, 95% CI: 0.50-1.00), PbCT (HR = 0.29, 95% CI: 0.11-0.74; HR = 0.31, 95% CI: 0.15-0.62; HR = 0.34, 95% CI: 0.17-0.69; HR = 0.34, 95% CI: 0.18-0.64; HR = 0.42, 95% CI: 0.21-0.82; HR = 0.43, 95% CI: 0.22-0.87; HR = 0.41, 95% CI: 0.22-0.74; HR = 0.48, 95% CI: 0.31-0.75), and PfCT (HR = 0.14, 95% CI: 0.06-0.32; HR = 0.15, 95% CI: 0.09-0.26; HR = 0.17, 95% CI: 0.09-0.29; HR = 0.16, 95% CI: 0.10-0.26; HR = 0.20, 95% CI: 0.12-0.35; HR = 0.21, 95% CI: 0.12-0.39; HR = 0.20, 95% CI: 0.12-0.31; HR = 0.23, 95% CI: 0.16-0.34) in terms of PFS. And, SoC + apatinib showed relatively superior PFS when compared with PbCT (HR = 0.44, 95% CI: 0.22-0.92) and PfCT (HR = 0.21, 95% CI: 0.12-0.39), but similar PFS to SoC (HR = 0.65, 95% CI: 0.42-1.03). No statistical differences were observed for PFS in patients without BM between PbCT and SoC (HR = 1.49, 95% CI: 0.84-2.64), but both showed favorable PFS when compared with PfCT (PfCT vs. SoC, HR = 3.09, 95% CI: 2.06-4.55; PbCT vs. PfCT, HR = 0.14, 95% CI: 0.06-0.32). For patients without BM, osimertinib + bevacizumab was most likely to rank the first, with cumulative probabilities of 47.1%. For OS, SoC + PbCT was most likely to rank first in patients with and without BM, with cumulative probabilities of 46.8%, and 37.3%, respectively. CONCLUSION Osimertinib + bevacizumab is most likely to rank first in PFS in advanced EGFR -mutated NSCLC patients with or without BM, and SoC + PbCT is most likely to rank first in OS.
Collapse
Affiliation(s)
- Yixiang Zhu
- 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 100021, China
| | - Chengcheng Liu
- Department of Colorectal Surgery and Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310009, China
| | - Ziyi Xu
- 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 100021, China
| | - Zihua Zou
- 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 100021, China
| | - Tongji Xie
- 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 100021, China
| | - Puyuan Xing
- 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 100021, China
| | - Le Wang
- Department of Cancer Prevention, Zhejiang Cancer Hospital, Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Junling Li
- 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 100021, China
| |
Collapse
|
7
|
Zhang J, Peng G, Ding Q, Qin Y, Wu B, Zhang Z, Zou Z, Shi L, Hong X, Han J, Liang Z, Yang K, Huang J. Standard Therapy vs. Individualized Therapy in Elderly Locally Advanced Nasopharyngeal Carcinoma: A Real-World Study. Int J Radiat Oncol Biol Phys 2023; 117:e589. [PMID: 37785782 DOI: 10.1016/j.ijrobp.2023.06.1937] [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: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Concurrent chemoradiotherapy (CRT) with/without induction chemotherapy has been the standard therapy (ST) for locally advanced nasopharyngeal carcinoma (LA-NPC). However, most patients supporting these clinical trials were younger than 65 years of age. For the toxicity of CRT and the poor tolerance of elderly patients, it is still controversial whether ST could bring the most promising survival benefits for elderly NPC compared with individualized therapy (IT). Thus, in this real-world study we compared the survival and safety of ST with IT in elderly LA-NPC to explore an effective and tolerable treatment strategy for elderly LA-NPC. MATERIALS/METHODS A total of 109 newly diagnosed elderly LA-NPC (>65 years old) from Jan. 2013-Jul. 2020 were retrospectively enrolled and divided into the ST group and IT group according to the original treatment tendency. ST refers to CRT with/without induction chemotherapy. IT group included patients not suitable for CRT and were given individualized treatment fully discussed by at least two oncologists from our head and neck team. A 1:1 propensity score matching (PSM) generated a matched cohort of ST and IT. The survivals and treatment related toxicities were compared between the two groups. RESULTS There were 46 cases in the ST group and 63 cases in the IT group. The 5-year overall survival (OS) rate, cancer-specific survival (CSS) rate, progression- free survival (PFS) rate, local recurrence-free survival (LRFS) rate and distant metastasis-free survival (DMFS) rate were 68.64%, 76.42%, 73.69%, 85.67% and 86.82%, respectively. By 1:1PSM, 35 cases in each group were matched. No significant differences of OS, CSS, PFS, LRFS and DMFS were found between ST and IT groups in the PSM-matched cohorts (P = 0.87, P = 0.79, P = 0.51, P = 0.81 and P = 0.24, respectively). Compared with patients in the ST group, cases received IT were associated with less severe acute toxicities including anemia, leucopenia, neutropenia, and thrombocytopenia. CONCLUSION For elderly LA-NPC, IT had similar survivals while less severe toxicities compared with ST, which revolutionarily challenged the role of ST for elderly LA-NPC. In the future, more studies are need to explore a less toxic treatment modality with noninferior efficacy for elderly LA-NPC.
Collapse
Affiliation(s)
- J Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - G Peng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Q Ding
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Y Qin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - B Wu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Zou
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - L Shi
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - X Hong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Han
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Z Liang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - K Yang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - J Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
8
|
Xu Y, Yan J, Zhou C, Wu L, Wang H, Zhao J, Zhou M, Wang J, Zheng X, Zhang L, Jiang K, Zheng X, Miao Q, Wu S, Zou Z, Lian R, He Y, Chen R, Yang S, Li Y, Chen S, Lin G. Genomic characterisation of de novo EGFR copy number gain and its impact on the efficacy of first-line EGFR-tyrosine kinase inhibitors for EGFR mutated non-small cell lung cancer. Eur J Cancer 2023; 188:81-89. [PMID: 37201385 DOI: 10.1016/j.ejca.2023.04.009] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 05/20/2023]
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutation generally respond well to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs). However, genomic characterisation of de novo EGFR copy number gain (CNG) and its impact on the efficacy of first-line EGFR-TKIs remains unclear. METHODS This multicenter, retrospective and real-world study included two cohorts that enroled EGFR mutant NSCLC patients. EGFR CNG was tested by next-generation sequencing of untreated tissue specimens. Cohort 1 detected the impact of EGFR CNG on first-line EGFR-TKIs treatment, and cohort 2 explored the genomic characterisation. RESULTS Cohort 1 enroled 355 patients from four cancer centres between January 2013 and March 2022. The patients were divided into three groups, included the EGFR non-CNG, EGFR CNG, and EGFR uncertain-CNG. No significant difference in progression-free survival (PFS) was found between the three groups (10.0 months vs. 10.8 months vs. 9.9 months, respectively, p = 0.384). Furthermore, the overall response rate was not statistically significant in the EGFR CNG group compared to the EGFR non-CNG or uncertain arm (70.3% vs. 63.2% vs. 54.5%, respectively, p = 0.154). Cohort 2 included 7876 NSCLC patients with 16.4% showing EGFR CNG. Gene mutations such as TP53, IKZF1, RAC1, MYC, MET, CDKN2A/B and alterations of the metabolic-related and ERK signalling pathway were significantly associated with patients with EGFR CNG compared to those without. CONCLUSIONS De novo EGFR CNG had no effect on the efficacy of first-line EGFR-TKI treatment in EGFR mutant NSCLC patients, and tumours with EGFR CNG had more complex genomic profiles than those without.
Collapse
Affiliation(s)
- Yiquan Xu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Jingjing Yan
- Department of Respiratory and Critical Care Medicine, Hebei Petrochina Central Hospital, Langfang, China
| | - Chengzhi Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Lin Wu
- The Second Department of Thoracic Oncology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China
| | - Haibo Wang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Jun Zhao
- Department of Thoracic Medical Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Maolin Zhou
- State Key Laboratory of Respiratory Disease, National Clinical Research Centre for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, China
| | - Jingyi Wang
- The Second Department of Thoracic Oncology, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, Changsha, China
| | - Xinlong Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Longfeng Zhang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Kan Jiang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Xiaobin Zheng
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Qian Miao
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Shiwen Wu
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Zihua Zou
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Rong Lian
- Beijing GenePlus Technology Co., Ltd., Beijing, China
| | - Yuange He
- Beijing GenePlus Technology Co., Ltd., Beijing, China
| | - Rongrong Chen
- Beijing GenePlus Technology Co., Ltd., Beijing, China
| | - Shanshan Yang
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Yujing Li
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Sihui Chen
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Gen Lin
- Department of Thoracic Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China.
| |
Collapse
|
9
|
Yu Y, Li Q, Cao SA, Dai XO, Cao MY, Qiu ZH, Lu XF, Zou Z, Li YH. Temperature management of intraoperative cardiopulmonary bypass in valve replacement surgery: a retrospective analysis of the impact on postoperative organ function. Eur Rev Med Pharmacol Sci 2023; 27:924-934. [PMID: 36808338 DOI: 10.26355/eurrev_202302_31185] [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: 02/23/2023]
Abstract
OBJECTIVE This study aimed to systematically analyze the effects of cardiopulmonary bypass (CPB) at different temperatures on the function of different organs in patients after heart valve replacement and to investigate its safety and feasibility. PATIENTS AND METHODS The data of 275 heart valve replacement surgery patients who underwent static suction compound anesthesia under CPB between February 2018 and October 2019 were retrospectively analyzed and divided into normothermic CPB anesthesia group (group 0), shallow hypothermic CPB anesthesia group (group 1), medium hypothermic CPB anesthesia group (group 2), and deep hypothermic CPB anesthesia group (group 3) according to the different intraoperative CPB temperatures. The basic preoperative conditions, cardiac resuscitation, number of defibrillations, postoperative ICU stay, postoperative hospital stay, and postoperative evaluation of different organ functions, such as heart, lung, and kidney functions, were analyzed and studied in each group. RESULTS The comparison of preoperative and postoperative pulmonary artery pressure and left ventricular internal diameter (LVD) was statistically significant in each group (p < 0.05), and the postoperative pulmonary function pressure was statistically significant in group 0 compared with groups 1 and 2 (p < 0.05). The preoperative glomerular filtration rate (eGFR) and the eGFR on the first postoperative day were statistically significant in all the groups (p < 0.05), and the eGFR on the first postoperative day in groups 1 and 2 were statistically significant (p < 0.05). CONCLUSIONS The control of appropriate temperature during CPB was associated with the recovery of organ function in patients after valve replacement. Intravenous compound general anesthesia with superficial hypothermic CPB might be more beneficial in recovering cardiac, pulmonary, and renal functions.
Collapse
Affiliation(s)
- Y Yu
- Department of Anesthesiology, Chaohu Hospital of Anhui Medical University, Hefei, Anhui, China.
| | | | | | | | | | | | | | | | | |
Collapse
|
10
|
Zou Z, Gu Y, Liang L, Hao X, Fan C, Xin T, Zhao S, Liu Z, Guo Y, Ma K, Li H, Zhang C, Shan L, Zhang Y, Dong G, Peng Y, Shen F, Song X, Christopoulos P, van der Wekken AJ, Okuda K, Ekman S, Xing P, Li J. Alectinib as first-line treatment for advanced ALK-positive non-small cell lung cancer in the real-world setting: preliminary analysis in a Chinese cohort. Transl Lung Cancer Res 2022; 11:2495-2506. [PMID: 36636411 PMCID: PMC9830268 DOI: 10.21037/tlcr-22-803] [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: 05/16/2022] [Accepted: 12/12/2022] [Indexed: 12/28/2022]
Abstract
Background Tyrosine kinase inhibitors (TKIs) have been a major advance in the treatment of anaplastic lymphoma kinase (ALK)-positive non-small cell lung cancer (NSCLC) which have been substantiated in clinical trials. However, real-world data on first-line alectinib in a Chinese patient population are limited. Methods We enrolled patients diagnosed with advanced ALK-positive NSCLC treated with first-line alectinib at 8 centers in China, including cases with symptomatic or active CNS metastases. Continuation of alectinib was permitted after local or gradual progression at the treating clinician's discretion. Time-to-treatment failure (TTF) was defined as the period from the start of alectinib to discontinuation for any cause including disease progression, death, adverse events and patient's preference. We defined longer EML4-ALK variants as containing EML4 fusions to at least exon 13 and shorter variants had EML4 fusions up to exon 6. Results Of the 110 patients included, 26.4% had Eastern Cooperative Oncology Group Performance Status (ECOG) ≥2 points. The objective response rate (ORR) was 88.5% [95% confidence interval (CI): 79.9-94.3%] and median tumor shrinkage rate was 60% (range, 0-100%) in patients with target lesions. For patients with measurable central nervous system (CNS) metastases, the CNS-ORR was 92.9% (95% CI: 66.1-99.8%), additionally, 80% (8/10) of patients experienced significant improvement in CNS-related symptoms following alectinib treatment. With a median follow-up of 18.3 months, the estimated 2-year progression-free survival (PFS) rate and 2-year treatment failure-free rate were 81.1% (95% CI: 71.5-87.7%) and 81.0% (95% CI: 70.6-88.0%) respectively. Grade 3-4 adverse events occurred in 6.4% and only 2 patients (1.8%) permanently discontinued alectinib due to adverse events. Multivariate analysis indicated that patients with metastases in ≥3 distant organs and a tumor reduction rate ≤50% demonstrated more unfavorable mPFS than their counterparts. Furthermore, patients carrying longer variants showed superior mPFS to those with shorter variants (not reached vs. 24.2 months, hazard ratio =0.17, 95% CI: 0.04-0.68, P=0.004). Conclusions Alectinib showed substantial efficacy and an excellent safety profile in a real-world setting of Chinese patients. Clinical outcomes and long-term survival still require longer follow-up. Tumors with shorter EML4 fusion variants, more extensive metastases and less reduction in tumor lesions may require more aggressive strategies.
Collapse
Affiliation(s)
- Zihua Zou
- 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
| | - Yangchun Gu
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, China
| | - Li Liang
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, China
| | - Xuezhi Hao
- 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
| | - Chengjuan Fan
- Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tao Xin
- Department of Oncology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Songchen Zhao
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Ziling Liu
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Ye Guo
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Kewei Ma
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Haojing Li
- Cancer Center, Inner Mongolia Autonomous Region People’s Hospital, Huhhot, China
| | - Cuiying Zhang
- Cancer Center, Inner Mongolia Autonomous Region People’s Hospital, Huhhot, China
| | - Li Shan
- Department of Thoracic Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Yan Zhang
- Department of Thoracic Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
| | - Guilan Dong
- Oncology Department, Tangshan People’s Hospital, Tangshan, China
| | - Yumei Peng
- Oncology Department, Tangshan People’s Hospital, Tangshan, China
| | - Fangfang Shen
- Department of Respiratory Medicine, Shanxi Provincial Cancer Hospital, Taiyuan, China
| | - Xia Song
- Department of Respiratory Medicine, Shanxi Provincial Cancer Hospital, Taiyuan, China
| | - Petros Christopoulos
- Department of Thoracic Oncology, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany;,Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Anthonie J. van der Wekken
- Department of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Katsuhiro Okuda
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Simon Ekman
- Thoracic Oncology Center, Karolinska University Hospital, Stockholm, Sweden;,Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Puyuan Xing
- 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
| | - Junling Li
- 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
| |
Collapse
|
11
|
Zou Z, Cheng Q, Li Z, Gao W, Sun W, Liu B, Guo Y, Liu J. [microRNA let-7g-3p regulates proliferation, migration, invasion and apoptosis of bladder cancer cells by targeting HMGB2]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1335-1343. [PMID: 36210706 DOI: 10.12122/j.issn.1673-4254.2022.09.09] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the molecular mechanism by which microRNA let-7g-3p regulates biological behaviors of bladder cancer cells. METHODS The expression levels of let-7g-3p in bladder cancer and adjacent tissues, normal bladder epithelial cells (HUC cells) and bladder cancer cells (T24, 5637 and EJ cells) were detected using qRT- PCR. T24 cells were transfected with let-7g-3p mimic or inhibitor, and the changes in cell proliferation, migration, invasion, and apoptosis were examined. Transcriptome sequencing was carried out in cells overexpressing let-7g-3p, and the results of bioinformatics analysis, double luciferase reporter gene assay, qRT-PCR and Western blotting confirmed that HMGB2 gene was the target gene of let-7g-3p. The expression of HMGB2 was examined in HUC, T24, 5637 and EJ cells, and in cells with HMGB2 knockdown, the effect of let-7g-3p knockdown on the biological behaviors were observed. RESULTS qRT-qPCR confirmed that let-7g-3p expression was significantly lower in bladder cancer tissues and cells (P < 0.01). Overexpression of let-7g-3p inhibited cell proliferation, migration and invasion, and promoted cell apoptosis, while let-7g-3p knock-down produced the opposite effects. Bioinformatics and transcriptome sequencing results showed that HMGB2 was the key molecule that mediate the effect of let-7g-3p on bladder cancer cells. Luciferase reporter gene assay, qRT-PCR and Western blotting all confirmed that HMGB2 was negatively regulated by let-7g-3p (P < 0.01). Knocking down HMGB2 could partially reverse the effect of let-7g-3p knockdown on the biological behaviors of the bladder cancer cells. CONCLUSION The microRNA let-7g-3p can inhibit the biological behavior of bladder cancer cells by negatively regulating HMGB2 gene.
Collapse
Affiliation(s)
- Z Zou
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Q Cheng
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Z Li
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - W Gao
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - W Sun
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - B Liu
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - Y Guo
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - J Liu
- Department of Urology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| |
Collapse
|
12
|
Zou Z, Hao X, Xing P, Li J. EP08.02-007 Disease Burden and Clinical Outcomes of Advanced ROS1 Positive NSCLC with Different Fusion Partners. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.689] [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: 10/14/2022]
|
13
|
Zou Z, Hao X, Xing P, Li J. EP08.02-008 Tumor Invasiveness and Clinical Outcomes between Metastatic ROS-1 and ALK Positive NSCLC. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.690] [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: 10/14/2022]
|
14
|
Xu Z, Liu C, Zhu Y, Zou Z, Xie T, Xing P, Wang L, Li J. Efficacy of first-line treatments in the elderly and non-elderly patients with advanced epidermal growth factor receptor mutated, non-small cell lung cancer: a network meta-analysis. BMC Cancer 2022; 22:514. [PMID: 35525919 PMCID: PMC9077975 DOI: 10.1186/s12885-022-09592-3] [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: 01/23/2022] [Accepted: 04/20/2022] [Indexed: 11/24/2022] Open
Abstract
Objective Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are the current standard of care for advanced or metastatic non-small cell lung cancer (NSCLC) patients harboring EGFR activating mutations. However, the optimal strategy for elderly NSCLC patients is still under debate. This study was designed to explore the optimal first-line regimens by comparing diverse strategies for elderly and non-elderly EGFR-mutated NSCLC patients. Methods A systematic review was conducted to summarize all available randomized controlled trials (RCTs) from PubMed, EMBASE, Cochrane Central Register of Controlled Trials databases, and international conferences before September 30, 2020. The primary outcome was progression free survival (PFS), and the secondary outcome was overall survival (OS). A network meta-analysis (NMA) was constructed using the Bayesian statistical model to synthesize the survival outcomes of all the treatments. Results In total, 12 RCTs were deemed eligible for inclusion with 3779 patients who have received 10 diverse treatments including EGFR-TKIs. Results from the Bayesian ranking suggested that osimertinib was most likely to rank the first in overall population and in elderly patients in PFS, with the cumulative probabilities of 42.20% and 31.46%, respectively. In non-elderly group (younger than 65 years old), standard of care (SoC, representing first-generation EGFR-TKIs in this NMA) + chemotherapy ranked the first (31.66%). As for OS, SoC + chemotherapy ranked first in all patients (64.33%), patients younger than 65 years old (61.98%), or older than 65 years old (34.45%). Conclusion The regimen of osimertinib is associated with the most favorable PFS in elderly advanced EGFR-mutated NSCLC patients, while SoC + chemotherapy is the optimal strategy in PFS for non-elderly NSCLC patients harboring EGFR activating mutations, and in OS for both elderly and non-elderly EGFR-mutated advanced NSCLC patients. Trial registration INPLASY protocol 2020100061 10.37766/inplasy2020.20.0061. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09592-3.
Collapse
Affiliation(s)
- Ziyi Xu
- 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, 100021, China
| | - Chengcheng Liu
- Department of Colorectal Surgery and Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yixiang Zhu
- 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, 100021, China
| | - Zihua Zou
- 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, 100021, China
| | - Tongji Xie
- 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, 100021, China
| | - Puyuan Xing
- 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, 100021, China
| | - Le Wang
- Department of Cancer Prevention, Institute of Basic Medicine and Cancer (IBMC), The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
| | - Junling Li
- 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, 100021, China.
| |
Collapse
|
15
|
Zou Z, Hao X, Li Y, Xing P, Ying J, Li J. 69P Tumor invasiveness, response to ALK inhibitors and resistance mechanism in NSCLC with different ALK variants. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.02.078] [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: 11/27/2022] Open
|
16
|
Zou Z, Xing P, Hao X, Wang Y, Song X, Shan L, Zhang C, Liu Z, Ma K, Dong G, Li J. Intracranial efficacy of alectinib in ALK-positive NSCLC patients with CNS metastases-a multicenter retrospective study. BMC Med 2022; 20:12. [PMID: 35039026 PMCID: PMC8764827 DOI: 10.1186/s12916-021-02207-x] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 12/06/2021] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Central nervous system (CNS) metastases in patients with ALK-positive non-small cell lung cancer (NSCLC) are a cause of substantial morbidity and mortality. Although alectinib had demonstrated promising intracranial efficacy in several clinical trials, data were limited on its CNS activity in real-world settings. METHODS In this retrospective study, ALK-positive NSCLC patients with brain metastases (BM) or leptomeningeal metastases (LM) from six hospitals in China were divided into three cohorts based on the treatment history before the administration of alectinib. ALK-TKI-naive patients were enrolled in cohort 1, cohort 2 included patients who experienced intracranial progression with or without extracranial progression after treatment with crizotinib, and cohort 3 included patients who developed progression only in CNS following treatment with other second-generation ALK-TKIs. The definition and evaluation of intracranial and extracranial lesions were based on Response Evaluation Criteria in Solid Tumors version 1.1. RESULTS Sixty-five patients were eligible and included in our study (cohort 1: 20, cohort 2: 32, cohort 3: 13). For the overall population and patients with uncontrolled CNS metastases, similar intracranial response in CNS target lesions was observed: cohort 1: 81.8% and 80%; cohort 2: 76.5% and 86.7%; cohort 3: 42.8% and 33.3%. For patients in these three cohorts, 75% (6/8), 78.6% (11/14), and 83.3% (5/6) were reported to have significant improvement in CNS-related symptoms respectively. The number of patients who were in need of mannitol or corticosteroids decreased remarkably after the treatment of alectinib (p < 0.001), and there was also a steep fall-over in the number of patients with ECOG ≥2 points before and after the administration of alectinib (p = 0.003). All patients (8/8) diagnosed with LM ± BM experienced substantial alleviation in CNS-related symptoms. In cohort 1 and cohort 2, no significant difference in CNS-time to progression was found between patients with symptomatic or asymptomatic BM when treated with alectinib alone. CONCLUSIONS Our study substantiated the potent CNS activity of alectinib in real-world settings. Patients with symptomatic and asymptomatic BM could benefit from alectinib comparatively, which indicated that alectinib alone might defer the timing of local treatment. However, our results should be treated cautiously owing to limited sample size.
Collapse
Affiliation(s)
- Zihua Zou
- 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, People's Republic of China
| | - Puyuan Xing
- 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, People's Republic of China
| | - Xuezhi Hao
- 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, People's Republic of China
| | - Yan 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, People's Republic of China
| | - Xia Song
- Department of Respiratory Medicine, Shanxi Provincial Cancer Hospital, Taiyuan, People's Republic of China
| | - Li Shan
- Department of Thoracic oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, People's Republic of China
| | - Cuiying Zhang
- Cancer center, Inner Mongolia Autonomous Region People's Hospita, Huhhot, People's Republic of China
| | - Ziling Liu
- Cancer center, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Kewei Ma
- Cancer center, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Guilan Dong
- Department of Medical Oncology, Tangshan People's Hospital, Tangshan, People's Republic of China
| | - Junling Li
- 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, People's Republic of China.
| |
Collapse
|
17
|
Yu C, Hu XY, Zou C, Yu FF, Liu B, Li Y, Liu Y, Song LJ, Tan L, Li Q, Hu YC, He HY, Chen MY, Zou Z. Associations between severe pulmonary function and residual CT abnormalities in rehabilitating COVID-19 patients. Eur Rev Med Pharmacol Sci 2021; 25:7585-7597. [PMID: 34919259 DOI: 10.26355/eurrev_202112_27457] [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: 11/12/2022]
Abstract
OBJECTIVE Coronavirus disease 2019 (COVID-19) spread around the world in 2020. Abnormal pulmonary function and residual CT abnormalities were observed in COVID-19 patients during recovery. Appropriate rehabilitation training is around the corner. The correlation between spirometric impairment and residual CT abnormality remains largely unknown. PATIENTS AND METHODS A cross-sectional study conducted on the pulmonary function of 101 convalescent COVID-19 patients before discharge. Multivariate analysis was used to establish a scoring system to evaluate the spirometric abnormality based on residual chest CT. RESULTS Lung consolidation area >25% and severe-type COVID-19 were two independent risk factors for severe pulmonary dysfunction. Besides, a scoring system was established. People scoring more than 12 points have more chances (17 times) to get severe pulmonary function impairment before discharge. CONCLUSIONS For the first time, a chest CT characteristics-based grading system was suggested to predict the pulmonary dysfunction of COVID-19 patients during convalescence in this study. This study may provide suggestions for pulmonary rehabilitation.
Collapse
Affiliation(s)
- C Yu
- Department of Respiratory and Critical Care Medicine, Naval Hospital of Eastern Theater of PLA, Zhoushan, Zhejiang Province, P.R. China.
| | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
18
|
Zou Z, Hao X, Zhang C, Li H, Dong G, Peng Y, Ma K, Guo Y, Shan L, Zhang Y, Liang L, Gu Y, Xing P, Li J. Clinical outcome, long-term survival and tolerability of sequential therapy of first-line crizotinib followed by alectinib in advanced ALK+NSCLC: A multicenter retrospective analysis in China. Thorac Cancer 2021; 13:107-116. [PMID: 34851035 PMCID: PMC8720624 DOI: 10.1111/1759-7714.14232] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/27/2021] [Accepted: 10/29/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND There is limited data on the clinical outcome, long-term survival and tolerability of sequential therapy of first-line crizotinib followed by alectinib in a real-world setting for Chinese patients with advanced ALK+ NSCLC. METHODS The medical records of patients who received sequential therapy with first-line crizotinib followed by alectinib (no intermittent systemic therapy was allowed between the two ALK-TKIs) were collected from six centers in China. Combined time treatment to failure (C-TTF) was defined as the period from the start of crizotinib to the complete discontinuation of alectinib due to any cause. RESULTS A total of 61 patients were included in our study. Fifty-two patients were switched to alectinib due to disease progression, seven as a result of toxicity, and two due to patient preference. At the time of data cutoff, alectinib treatment was discontinued in 31 patients on account of disease progression while severe adverse events resulted in cessation of alectinib in another two patients. Rebiopsy was conducted in 21 patients following disease progression on alectinib in whom ALK secondary mutation was found in 13 patients. Patients with ALK secondary mutation demonstrated better PFS during treatment with subsequent ALK-TKIs compared with those without (10.4 vs. 3.1 m, p = 0.0018, HR = 0.08). With a median follow-up of 34.3 months, C-TTF was 39.2 months and estimated 5-year OS was 68.6% in the overall population. CONCLUSION Sequential therapy with first-line crizotinib followed by alectinib demonstrated long-term benefits. Different efficacy in subsequent ALK-TKI between patients with or without ALK secondary mutation further emphasized the importance of rebiopsy to guide targeted therapy more precisely.
Collapse
Affiliation(s)
- Zihua Zou
- 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
| | - Xuezhi Hao
- 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
| | - Cuiying Zhang
- Cancer Center, Inner Mongolia Autonomous Region People's Hospital, Huhhot, China
| | - Haojing Li
- Cancer Center, Inner Mongolia Autonomous Region People's Hospital, Huhhot, China
| | - Guilan Dong
- Oncology Department, Tangshan People' s Hospital, Tangshan, China
| | - Yumei Peng
- Oncology Department, Tangshan People' s Hospital, Tangshan, China
| | - Kewei Ma
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Ye Guo
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Li Shan
- Department of Thoracic Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, China
| | - Yan Zhang
- Department of Thoracic Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Urumqi, China
| | - Li Liang
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, China
| | - Yangchun Gu
- Department of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, China
| | - Puyuan Xing
- 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
| | - Junling Li
- 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
| |
Collapse
|
19
|
Zou Z, Xing P, Hao X, Zhang C, Ma K, Shan L, Song X, Li J. P45.15 Clinical Outcomes, Long-Term Survival and Toleration With Sequential Therapy of First-Line Crizotinib Followed by Alectinib in ALK+ NSCLC. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.483] [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: 10/20/2022]
|
20
|
Zou Z, Li Y, Xing P, Ying J, Li J. P06.04 Clinical Outcomes and Pathological Characteristics of Resected ALK+ Lung Adenocarcinoma: A Single Center Retrospective Analysis. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.08.283] [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: 10/20/2022]
|
21
|
Lu Y, Zhu S, Zou Z, He Z, Yang H. [Modulatory effect of 2-arachidonoylglycerol on voltage-gated sodium currents in rat caudate nucleus neurons with kainic acid-induced injury]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:1150-1157. [PMID: 34549704 DOI: 10.12122/j.issn.1673-4254.2021.08.04] [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] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To investigate the modulatory effect of 2-arachidonoylglycerol (2-AG) on voltage-gated sodium currents(VGSCs) in rat caudate nucleus (CN) neurons with kainic acid (KA)-induced injury and explore the molecular mechanism underlying the neuroprotective effect of 2-AG. METHODS Primary cultures of CN neurons isolated from neonatal SD rats were treated with KA, 2-AG+KA, RIM (a CB1 receptor antagonist) +2-AG+KA, or vehicle only (as control).After 7 days in primary culture, the neurons were treated with corresponding agents for 12 h (RIM and 2-AG were added at the same time; KA was added 30 min later) before recording of current density changes, current-voltage characteristics, activation and inactivation kinetics of VGSCs (INa) using whole-cell patch clamp technique. RESULTS In cultured CN neurons, KA significantly increased current density of VGSCs (P=0.009) as compared with vehicle treatment.KA also produced a hyperpolarizing shift in the activation curve of INa and significantly increased the absolute value of V1/2 for activation (P=0.008).Addition of 2-AG in the culture medium obviously prevented KA-induced increase of INa (P=0.009) and hyperpolarizing shift in the activation curve of INa, and significantly reduced the value of V1/2 for activation(P=0.009)in a CB1 receptor-dependent manner.2-AG alone did not affect the density, activation or deactivation of VGSCs in rat CN neurons. CONCLUSION In excitotoxic events, endogenous 2-AG can offer neuroprotection by modulating VGSCs in the CN neurons through a CB1 receptor-dependent pathway.
Collapse
Affiliation(s)
- Y Lu
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Institute of Brain Grand Diseases, China Three Gorges University, Yichang 443002, China
| | - S Zhu
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Department of Neurology, People's Hospital of China Three Gorges University, Yichang 443002, China
| | - Z Zou
- Department of Neurology, Changjiang Shipping General Hospital, Wuhan 430010, China
| | - Z He
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Institute of Brain Grand Diseases, China Three Gorges University, Yichang 443002, China
| | - H Yang
- Department of Functional Sciences, College of Medical Science, China Three Gorges University, Yichang 443002, China.,Institute of Brain Grand Diseases, China Three Gorges University, Yichang 443002, China
| |
Collapse
|
22
|
Bayle A, Droin N, Besse B, Zou Z, Boursin Y, Rissel S, Solary E, Lacroix L, Rouleau E, Borget I, Bonastre J. Whole exome sequencing in molecular diagnostics of cancer decreases over time: evidence from a cost analysis in the French setting. Eur J Health Econ 2021; 22:855-864. [PMID: 33765190 DOI: 10.1007/s10198-021-01293-1] [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] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 03/16/2021] [Indexed: 05/06/2023]
Abstract
OBJECTIVES Although high-throughput sequencing is revolutionising medicine, data on the actual cost of whole exome sequencing (WES) applications are needed. We aimed at assessing the cost of WES at a French cancer institute in 2015 and 2018. METHODS Actual costs of WES application in oncology research were determined using both micro-costing and gross-costing for the years 2015 and 2018, before and after the acquisition of a new sequencer. The entire workflow process of a WES test was tracked, and the number and unit price of each resource were identified at the most detailed level, from library preparation to bioinformatics analyses. In addition, we conducted an ad hoc analysis of the bioinformatics storage costs of data issued from WES analyses. RESULTS The cost of WES has decreased substantially, from €1921 per sample (i.e. cost of €3842 per patient) in 2015 to €804 per sample (i.e. cost of €1,608 per patient) in 2018, representing a decrease of 58%. In the meantime, the cost of bioinformatics storage has increased from €19,836 to €200,711. CONCLUSION This study suggests that WES cost has decreased significantly in recent years. WES has become affordable, even though clinical utility and efficiency still need to be confirmed.
Collapse
Affiliation(s)
- Arnaud Bayle
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France.
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France.
- Université Paris-Sud, Orsay, France.
| | - N Droin
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- UMS CNRS 3655 and INSERM US23, AMMICa, Gustave Roussy, Villejuif, France
| | - B Besse
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
| | - Z Zou
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
| | - Y Boursin
- Digital Transformation and IT System Department, Gustave Roussy Cancer Centre, 94805, Villejuif, France
| | - S Rissel
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
| | - E Solary
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Université Paris-Sud, Orsay, France
| | - L Lacroix
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- UMS CNRS 3655 and INSERM US23, AMMICa, Gustave Roussy, Villejuif, France
- Université Paris-Sud, Orsay, France
| | - E Rouleau
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
| | - I Borget
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
- Université Paris-Sud, Orsay, France
| | - J Bonastre
- Biostatistics and Epidemiology Unit, Gustave Roussy Cancer Centre, 114 rue Edouard Vaillant, 94805, Villejuif Cedex, France
- Centre for Research in Epidemiology and Population Health, INSERM U1018, Villejuif, France
| |
Collapse
|
23
|
Zou Z, Xing P, Hao X, Wang Y, Shan L, Zhang C, Song X, Ma K, Liu Z, Dong G, Li J. 154P Intracranial efficacy of alectinib in ALK-positive NSCLC patients with CNS metastases: A multicenter retrospective study. J Thorac Oncol 2021. [DOI: 10.1016/s1556-0864(21)01996-1] [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: 10/21/2022]
|
24
|
Zou Z, Dong YS, Liu JM, Zhao ZH, Li G, Liu DD. Circ-DONSON promotes malignant progression of glioma through modulating FOXO3. Eur Rev Med Pharmacol Sci 2021; 24:749-757. [PMID: 32016978 DOI: 10.26355/eurrev_202001_20055] [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] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to investigate the expression level of circ-DONSON in glioma and to explore its effect on glioma metastasis and the underlying mechanism. PATIENTS AND METHODS Quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) was performed to examine circ-DONSON expression in 40 paired glioma tumor tissues and adjacent tissues. Meanwhile, the relation between circ-DONSON level and clinical parameters of glioma and the prognosis of patients was analyzed. The expression of circ-DONSON in glioma cell lines was analyzed by qRT-PCR as well. In addition, circs-DONSON silencing model was constructed in glioma cell lines. Cell counting kit-8 (CCK-8), cell scratch, and transwell migration assays were performed to investigate the effect of circ-DONSON on biological functions of glioma cells. Finally, the interplay between FOXO3 and circ-DONSON was explored. RESULTS QRT-PCR results revealed that the expression level of circ-DONSON in glioma tumor tissues was remarkably higher than that of adjacent tissues, and the difference was statistically significant (p<0.05). Compared with patients with low expression of circ-DONSON, significantly higher prevalence of lymph node or distant metastasis and worse prognosis were observed in patients with high expression of circ-DONSON (p<0.05). The proliferation and migration abilities of glioma cells in circ-DONSON silenced group were remarkably suppressed when compared with NC group (p<0.05). Additionally, FOXO3 expression was remarkably down-regulated in glioma cell lines and tissues. FOXO3 expression was negatively correlated with circ-DONSON expression. In addition, cell reverse experiment demonstrated that circ-DONSON and FOXO3 can regulate each other, thereby together affecting the malignant progression of glioma. CONCLUSIONS Circ-DONSON was remarkably associated with lymph node or distant metastasis, as well as poor prognosis of patients with glioma. Furthermore, it promoted the metastasis of glioma cells via regulating FOXO3.
Collapse
Affiliation(s)
- Z Zou
- General Hospital of Northern Theater Command Base, Jinzhou Medical University, Jinzhou, China.
| | | | | | | | | | | |
Collapse
|
25
|
Zou Z, Ruyer P, Lagrée PY, Aussillous P. Discharge of a silo through a lateral orifice: Role of the bottom inclination versus friction. Phys Rev E 2020; 102:052902. [PMID: 33327082 DOI: 10.1103/physreve.102.052902] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 10/02/2020] [Indexed: 06/12/2023]
Abstract
In this work we propose to identify the relative role of the inclination of gravitational acceleration and friction on the discharge flow rate of a granular media from a rectangular silo by varying the silo geometry thanks to an inclined bottom which ends up at a lateral outlet. The study is motivated by a nuclear safety problem: a fuel rod (modeled by an elongated silo) accidentally releases fuel fragments (modeled by grains). We performed experiments where we independently measured the mass flow rate and the velocity profiles, together with discrete particle simulations and continuum simulations with a frictional rheology described by a μ(I) constitutive law and taking into account the wall friction. We study monolayer flows and three-dimensional flows, and we propose an analytical model that predicts the discharge flow rate of particles from a rectangular silo with an inclined bottom according to its outlet aspect ratio and the bottom inclination angle.
Collapse
Affiliation(s)
- Z Zou
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSN-RES, SEMIA, LSMA, Cadarache, St. Paul-Lez-Durance 13115, France
- Aix-Marseille Université, CNRS, IUSTI, Marseille, France
| | - P Ruyer
- Institut de Radioprotection et de Sûreté Nucléaire (IRSN), PSN-RES, SEMIA, LSMA, Cadarache, St. Paul-Lez-Durance 13115, France
| | - P-Y Lagrée
- Sorbonne Université, CNRS UMR7190, Institut Jean le Rond ∂' Alembert, F-75005 Paris, France
| | - P Aussillous
- Aix-Marseille Université, CNRS, IUSTI, Marseille, France
| |
Collapse
|
26
|
Tang B, Gao GM, Zou Z, Liu DN, Tang C, Jiang QG, Lei X, Li TY. [Efficacy comparison between robot-assisted and laparoscopic surgery for mid-low rectal cancer: a prospective randomized controlled trial]. Zhonghua Wei Chang Wai Ke Za Zhi 2020; 23:377-383. [PMID: 32306606 DOI: 10.3760/cma.j.cn.441530-20190401-00135] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Objective: To compare the short- and long-term outcomes of robot-assisted and laparoscopic radical resection for mid-low rectal cancer. Methods: A prospective randomized controlled trial was conducted. A total of 130 patients with mid-low rectal cancer (inclusion criteria: age > 18 or ≤80 years old; pathological diagnosis of rectal adenocarcinoma by colonoscopy; distance from tumor to the anal verge ≤12 cm; no distant metastasis; cT1-3N0-1 or ycT1-3 after neoadjuvant radiotherapy and chemotherapy; suitable for laparoscopic and robotic surgery) at the Department of Colorectal Surgery of the First Affiliated Hospital of Nanchang University from October 2016 to September 2018 were prospectively enrolled. According to computer-generated random number method, patients were randomly divided into the robot group (n=66) and laparoscopy group (n=64), and underwent robot-assisted surgery or laparoscopic surgery respectively. Clinicopathological data of all the patients were collected and analyzed. The demographic parameters, short- and long-term outcomes were compared between two groups. Results: One patient in robot group whose postoperative sample was diagnosed as rectal adenoma by pathology was excluded. There were no statistically significant differences in age, sex, BMI, ASA classification, distance from tumor to the anal verge, serum CEA level, CA199 level between two groups (all P>0.05). Operations were successfully performed in all the patients without conversion to open operation. Robotic surgery was found to be associated with less intraoperative blood loss than laparoscopic surgery [(73.4±49.7) ml vs. (119.1±65.7) ml, t=-4.461, P<0.001], while there were no statistically significant differences in surgical procedures, operation time, time to first flatus, time to first liquid intake, time to removal of catheter or postoperative hospital stay between two groups (all P>0.05). Besides, there was no significant difference in the morbidity of postoperative complication between two groups [10.8% (7/65) vs. 12.5 (8/64), χ(2)=4.342, P=0.720]. The median number of harvested lymph node in the robot group and the laparoscopy group was 15.7±6.2 and 13.8±6.1 (t=1.724, P=0.087). There were no significant differences between two groups in tumor sample length, distance between proximal and distal resection margin, integrity grade of TME specimen, number of positive lymph nodes, postoperative pathological stage and tumor differentiation (all P>0.05). The distal resection margin of samples in two groups was all negative. One case in the robot group was found to have positive circumferential resection margin. The median follow up was 24 (9 to 31) months. In the robot group and the laparoscopy group, the 2-year overall survival rate was 95.4% and 90.6% respectively; the 2-year disease-free survival rate was 90.8% and 85.9% respectively, whose differences were not significant (both P>0.05). Conclusion: Robot-assisted radical resection for mid-low rectal cancer can achieve similar short-term and long-term outcomes of laparoscopic resection, while robot-assisted surgery can decrease blood loss during operation, leading to more precise practice in minimally invasive surgery.
Collapse
Affiliation(s)
- B Tang
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - G M Gao
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - Z Zou
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - D N Liu
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - C Tang
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - Q G Jiang
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - X Lei
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| | - T Y Li
- Department of General Surgery, the First Affiliated Hospital, Nanchang University, Nanchang 330006, China
| |
Collapse
|
27
|
Zou Z, Huang R, Yu J. Amelioration of intersphincteric resection for low rectal cancer - concentrate on defaecation function - a video vignette. Colorectal Dis 2020; 22:224-225. [PMID: 31554019 DOI: 10.1111/codi.14860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2019] [Accepted: 09/18/2019] [Indexed: 02/08/2023]
Affiliation(s)
- Z Zou
- Department of General Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - R Huang
- Department of General Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - J Yu
- Department of General Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| |
Collapse
|
28
|
Zou Z, Yi-Fei Z, Xian-Sheng Z, Chao-Chao L. Transurethral anatomical endoscopic enucleation of the prostate: Is there a Greenlight? EUR UROL SUPPL 2020. [DOI: 10.1016/s2666-1683(20)30008-2] [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: 10/25/2022] Open
|
29
|
Li C, Lu Y, Chen X, Yang M, Zou Z, Han J, Gao X, Tang R, Wang C, Huang L, Wang Z. Analysis of the N-Glycoforms and Immunoactivity of Chinese Yam (Dioscorea opposita Thunb.) Glycoprotein 30CYGP. J Proteome Res 2019; 19:28-35. [DOI: 10.1021/acs.jproteome.9b00102] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
|
30
|
Lyu XD, Zou Z, Peng H, Fan RH, Song YP. [Application of multiple nucleotide polymorphism analysis in chimerism detection after allogeneic hematopoietic stem cell transplantation]. Zhonghua Xue Ye Xue Za Zhi 2019; 40:662-666. [PMID: 31495133 PMCID: PMC7342881 DOI: 10.3760/cma.j.issn.0253-2727.2019.08.007] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
目的 建立一种利用多核苷酸多态性高通量测序(MNPseq)分析异基因造血干细胞移植后嵌合状态的新方法,并探讨其可行性及优越性。 方法 筛选100个MNP片段,采用高通量测序技术,通过模拟嵌合样本和临床移植后样本,与STR法、融合基因定量检测和流式细胞术微小残留病检测进行对比,验证方法的准确性和敏感性。 结果 MNPseq的准确性和敏感性均优于STR法,其中敏感性为0.01%,较STR法敏感约100倍;MNPseq可以进一步区分STR完全嵌合的42份样本,且经Cutoff值校正后,与融合基因定量检测结果相关;MNPseq可以纠正因为影子峰所造成的STR法的假阳性,并且可以用于检测缺乏供者和(或)患者移植前信息的嵌合体标本。 结论 基于高通量测序的MNPseq分析是一种更加准确和敏感的嵌合体检测方法,而且解决了缺乏移植前信息无法检测嵌合体的问题,具有极高的临床应用价值。
Collapse
Affiliation(s)
- X D Lyu
- Central Lab, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Z Zou
- Central Lab, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - H Peng
- Institute of Systematic Biology, Jianghan University, Wuhan 430056, China
| | - R H Fan
- Central Lab, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Y P Song
- Department of Hematology, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| |
Collapse
|
31
|
Xu Y, Zou Z, Liu Y, Wang Q, Sun B, Zeng Q, Liu Q, Zhang A. miR-191 is involved in renal dysfunction in arsenic-exposed populations by regulating inflammatory response caused by arsenic from burning arsenic-contaminated coal. Hum Exp Toxicol 2019; 39:37-46. [DOI: 10.1177/0960327119874423] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Chronic exposure to arsenic may result in the manifestation of damage in multiple organs or systems of the body. Arsenic-induced renal dysfunction has been determined, but their pathogenesis has not been fully examined. In this study, we measured the expression levels of miR-191 in plasma, the contents of pro-inflammatory (interleukin (IL)-6 and tumor necrosis factor alpha) and anti-inflammatory (IL-2 and transforming growth factor beta) cytokines, and renal dysfunction indicators (blood urea nitrogen, blood creatinine, uric acid, and cystatin C) in serum from control and arsenic poisoning populations and analyzed the relationship between the miR-191, cytokines, and renal dysfunction indicators. The results clearly show the alteration of miR-191 expression was significantly associated with arsenic-induced renal dysfunction. Overall, the association of miR-191, inflammatory response and renal dysfunction, is clearly supported by the current findings. In other words, miR-191 is involved in renal dysfunction in exposed populations by regulating inflammatory response caused by coal-burning arsenic. The study provides a scientific basis for further studies of the causes of the arsenic-induced renal dysfunction, the biological role of miR-191, and targeted prevention strategies.
Collapse
Affiliation(s)
- Y Xu
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Z Zou
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Y Liu
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Wang
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - B Sun
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Zeng
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Q Liu
- Key Laboratory of Modern Toxicology, Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - A Zhang
- Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China
| |
Collapse
|
32
|
Zou Z, Bowen S, Thomas H, Sasidharan B, Rengan R, Zeng J. Scanning Beam Proton Therapy Versus Photon IMRT for Stage III Lung Cancer: Comparison of Dosimetry, Toxicity and Outcomes. Int J Radiat Oncol Biol Phys 2019. [DOI: 10.1016/j.ijrobp.2019.06.2458] [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: 10/26/2022]
|
33
|
Liu Q, Kong W, Chen F, Meng F, Wei J, Zou Z, Liu B. Neoantigen-reactive T cells combined with chemotherapy and radiation improved survival in advanced pancreatic cancer. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz155.275] [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: 11/15/2022] Open
|
34
|
Tang R, Chen X, Dang T, Deng Y, Zou Z, Liu Q, Gong G, Song S, Ma F, Huang L, Wang Z. Lycium barbarum polysaccharides extend the mean lifespan of Drosophila melanogaster. Food Funct 2019; 10:4231-4241. [DOI: 10.1039/c8fo01751d] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The fruits of Lycium barbarum are considered medicinal foods with high nutritional value and bioactivity.
Collapse
Affiliation(s)
- Rui Tang
- College of Life Sciences
- Northwest University
- Xi'an 710069
- China
| | - Xiaoyi Chen
- College of Life Sciences
- Northwest University
- Xi'an 710069
- China
| | - Tiantian Dang
- College of Life Sciences
- Northwest University
- Xi'an 710069
- China
| | - Yangni Deng
- College of Life Sciences
- Northwest University
- Xi'an 710069
- China
| | - Zihua Zou
- College of Life Sciences
- Northwest University
- Xi'an 710069
- China
| | - Qian Liu
- College of Food Science and Technology
- Northwest University
- Xi'an 710069
- China
| | - Guiping Gong
- College of Food Science and Technology
- Northwest University
- Xi'an 710069
- China
| | - Shuang Song
- School of Food Science and Technology
- National Engineering Research Center of Seafood
- Dalian Polytechnic University
- Dalian 116034
- PR China
| | - Fangli Ma
- Infinitus (China) Company Ltd
- Jiangmen 529156
- China
| | - Linjuan Huang
- College of Food Science and Technology
- Northwest University
- Xi'an 710069
- China
| | - Zhongfu Wang
- College of Food Science and Technology
- Northwest University
- Xi'an 710069
- China
| |
Collapse
|
35
|
Liu B, Yan J, Su S, Shao J, Zhao Y, Xu Q, Yang Y, Zou Z, Huang X, Wei J. A phase I/II trial of CRISPR-Cas9-mediated PD-1 knockout Epstein-Barr Virus cytotoxic lymphocytes (EBV-CTLs) for advanced stage EBV associated malignancies. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy432.057] [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: 11/12/2022] Open
|
36
|
Wei J, Yan J, Su S, Shao J, Zhao Y, Xu Q, Yang Y, Zou Z, Huang X, Liu B. A phase I/II Trial of CRISPR-Cas9-mediated PD-1 knockout Epstein-Barr virus cytotoxic lymphocytes (EBV-CTLs) for advanced stage EBV associated malignancies - Trial in progress. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy151.129] [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: 11/14/2022] Open
|
37
|
Vega-Rubin-de-Celis S, Zou Z, Fernandez-Fernandez A, Xiao G, Kim M, Levine B. 19 Autophagy induction as a new therapy for HER2+ breast tumorigenesis. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.19] [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: 11/04/2022] Open
|
38
|
Wei J, Wu N, Wang Y, Xu B, Yang Y, Du J, Yu L, Zou Z, Shao Y, Zhu S, Liu B. Targeted-sequencing and comprehensive molecular profiling of gastric signet ring cell carcinoma. Ann Oncol 2018. [DOI: 10.1093/annonc/mdy151.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|
39
|
Liu Q, Zou Z, Kong W, Chen F, Meng F, Liu B. Personalized peptide vaccine induced adoptive immunocyte transfer combined chemotherapy and radiation improved the survival of advanced pancreatic cancer. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx660.044] [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: 11/14/2022] Open
|
40
|
Wang Y, Jiang H, Cheng Y, An C, Chu Y, Raikhel AS, Zou Z. Activation of Aedes aegypti prophenoloxidase-3 and its role in the immune response against entomopathogenic fungi. Insect Mol Biol 2017; 26:552-563. [PMID: 28556276 PMCID: PMC5582978 DOI: 10.1111/imb.12318] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [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] [Indexed: 06/07/2023]
Abstract
Serine protease cascade-mediated melanization is an important innate immune response in insects and crustaceans, which involves the proteolytic activation of prophenoloxidase (PPO). In this study, we investigated the role of Aedes aegypti PPO3 in antifungal immune defence. We expressed and purified recombinant PPO3 (rPPO3) in Escherichia coli and demonstrated that rPPO3 was activated by ethanol and, to a lesser extent, by cetylpyridinium chloride. In the presence of Cu2+ , rPPO3 exhibited enzyme activity. Immunoblot results revealed that the rPPO3 was cleaved by the haemolymph from immune-challenged mosquitoes or purified Ostrinia furnacalis serine protease 105 in vitro. The cleaved rPPO3 converted dopamine to toxic intermediates that killed fungal conidia of Beauveria bassiana in vitro. In mosquitoes challenged with Be. bassiana, cleavage of rPPO3 produced a 50 kDa phenoloxidase (PO) fragment. Further analysis revealed that the survival rate of mosquitoes with fungal infection increased significantly following injection of rPPO3 into the haemocoel. Taken together, our results suggest that proteolytic cleavage of the mosquito PPO3 plays an important role in the antifungal immune response. This has led to a better understanding of the mechanism of PPO activation in the mosquito and the role of melanization in the antifungal immune response.
Collapse
Affiliation(s)
- Y. Wang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
| | - H. Jiang
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
| | - Y. Cheng
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - C. An
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, 100193, P. R. China
| | - Y. Chu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, 100193, P. R. China
| | - A. S. Raikhel
- Department of Entomology and Institute for Integrative Genome Biology, University of California, Riverside, CA 92521, USA
| | - Z. Zou
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, P. R. China
- University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| |
Collapse
|
41
|
Chen F, Zou Z, Du J, Wei J, Shao J, Meng F, ding N, Liu B. Efficient identification of neoantigens for personalized cancer immunotherapy in advanced refractory epithelial cancer patients. Ann Oncol 2017. [DOI: 10.1093/annonc/mdx376.038] [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: 11/14/2022] Open
|
42
|
Pearce SL, Clarke DF, East PD, Elfekih S, Gordon KHJ, Jermiin LS, McGaughran A, Oakeshott JG, Papanicolaou A, Perera OP, Rane RV, Richards S, Tay WT, Walsh TK, Anderson A, Anderson CJ, Asgari S, Board PG, Bretschneider A, Campbell PM, Chertemps T, Christeller JT, Coppin CW, Downes SJ, Duan G, Farnsworth CA, Good RT, Han LB, Han YC, Hatje K, Horne I, Huang YP, Hughes DST, Jacquin-Joly E, James W, Jhangiani S, Kollmar M, Kuwar SS, Li S, Liu NY, Maibeche MT, Miller JR, Montagne N, Perry T, Qu J, Song SV, Sutton GG, Vogel H, Walenz BP, Xu W, Zhang HJ, Zou Z, Batterham P, Edwards OR, Feyereisen R, Gibbs RA, Heckel DG, McGrath A, Robin C, Scherer SE, Worley KC, Wu YD. Erratum to: Genomic innovations, transcriptional plasticity and gene loss underlying the evolution and divergence of two highly polyphagous and invasive Helicoverpa pest species. BMC Biol 2017; 15:69. [PMID: 28810920 PMCID: PMC5557573 DOI: 10.1186/s12915-017-0413-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Accepted: 08/07/2017] [Indexed: 11/10/2022] Open
Affiliation(s)
- S L Pearce
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - D F Clarke
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - P D East
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Elfekih
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - K H J Gordon
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - L S Jermiin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A McGaughran
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - J G Oakeshott
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - A Papanicolaou
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Hawksbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - O P Perera
- Southern Insect Management Research Unit, USDA-ARS, Stoneville, MS, USA
| | - R V Rane
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S Richards
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
| | - W T Tay
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T K Walsh
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C J Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Biological and Environmental Sciences, University of Stirling, Stirling, UK
| | - S Asgari
- School of Biological Sciences, University of Queensland, Brisbane St Lucia, QLD, Australia
| | - P G Board
- John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | | | - P M Campbell
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T Chertemps
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France.,National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | | | - C W Coppin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | | | - G Duan
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - C A Farnsworth
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - R T Good
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - L B Han
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Y C Han
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - K Hatje
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - I Horne
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - Y P Huang
- Institute of Plant Physiology and Ecology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - D S T Hughes
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - E Jacquin-Joly
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - W James
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - M Kollmar
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - S S Kuwar
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - S Li
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - N-Y Liu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - M T Maibeche
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France.,National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - J R Miller
- J. Craig Venter Institute, Rockville, MD, USA
| | - N Montagne
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
| | - T Perry
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - J Qu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - S V Song
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - G G Sutton
- J. Craig Venter Institute, Rockville, MD, USA
| | - H Vogel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - B P Walenz
- J. Craig Venter Institute, Rockville, MD, USA
| | - W Xu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,School of Veterinary and Life Sciences, Murdoch University, Perth, WA, Australia
| | - H-J Zhang
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.,Chongqing Key Laboratory of Biochemistry and Molecular Pharmacology, Chongqing Medical University, Chongqing, 400016, China
| | - Z Zou
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - P Batterham
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | | | - R Feyereisen
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej, Denmark
| | - R A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - D G Heckel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - A McGrath
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C Robin
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S E Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - K C Worley
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Y D Wu
- College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
| |
Collapse
|
43
|
Pearce SL, Clarke DF, East PD, Elfekih S, Gordon KHJ, Jermiin LS, McGaughran A, Oakeshott JG, Papanicolaou A, Perera OP, Rane RV, Richards S, Tay WT, Walsh TK, Anderson A, Anderson CJ, Asgari S, Board PG, Bretschneider A, Campbell PM, Chertemps T, Christeller JT, Coppin CW, Downes SJ, Duan G, Farnsworth CA, Good RT, Han LB, Han YC, Hatje K, Horne I, Huang YP, Hughes DST, Jacquin-Joly E, James W, Jhangiani S, Kollmar M, Kuwar SS, Li S, Liu NY, Maibeche MT, Miller JR, Montagne N, Perry T, Qu J, Song SV, Sutton GG, Vogel H, Walenz BP, Xu W, Zhang HJ, Zou Z, Batterham P, Edwards OR, Feyereisen R, Gibbs RA, Heckel DG, McGrath A, Robin C, Scherer SE, Worley KC, Wu YD. Genomic innovations, transcriptional plasticity and gene loss underlying the evolution and divergence of two highly polyphagous and invasive Helicoverpa pest species. BMC Biol 2017; 15:63. [PMID: 28756777 PMCID: PMC5535293 DOI: 10.1186/s12915-017-0402-6] [Citation(s) in RCA: 178] [Impact Index Per Article: 25.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Accepted: 07/04/2017] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Helicoverpa armigera and Helicoverpa zea are major caterpillar pests of Old and New World agriculture, respectively. Both, particularly H. armigera, are extremely polyphagous, and H. armigera has developed resistance to many insecticides. Here we use comparative genomics, transcriptomics and resequencing to elucidate the genetic basis for their properties as pests. RESULTS We find that, prior to their divergence about 1.5 Mya, the H. armigera/H. zea lineage had accumulated up to more than 100 more members of specific detoxification and digestion gene families and more than 100 extra gustatory receptor genes, compared to other lepidopterans with narrower host ranges. The two genomes remain very similar in gene content and order, but H. armigera is more polymorphic overall, and H. zea has lost several detoxification genes, as well as about 50 gustatory receptor genes. It also lacks certain genes and alleles conferring insecticide resistance found in H. armigera. Non-synonymous sites in the expanded gene families above are rapidly diverging, both between paralogues and between orthologues in the two species. Whole genome transcriptomic analyses of H. armigera larvae show widely divergent responses to different host plants, including responses among many of the duplicated detoxification and digestion genes. CONCLUSIONS The extreme polyphagy of the two heliothines is associated with extensive amplification and neofunctionalisation of genes involved in host finding and use, coupled with versatile transcriptional responses on different hosts. H. armigera's invasion of the Americas in recent years means that hybridisation could generate populations that are both locally adapted and insecticide resistant.
Collapse
Affiliation(s)
- S L Pearce
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - D F Clarke
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - P D East
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Elfekih
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - K H J Gordon
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - L S Jermiin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A McGaughran
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - J G Oakeshott
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia.
| | - A Papanicolaou
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Hawksbury Institute for the Environment, Western Sydney University, Penrith, NSW, Australia
| | - O P Perera
- Southern Insect Management Research Unit, USDA-ARS, Stoneville, MS, USA
| | - R V Rane
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S Richards
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
| | - W T Tay
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T K Walsh
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - A Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C J Anderson
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Biological and Environmental Sciences, University of Stirling, Stirling, UK
| | - S Asgari
- School of Biological Sciences, University of Queensland, Brisbane St Lucia, QLD, Australia
| | - P G Board
- John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | | | - P M Campbell
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - T Chertemps
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | | | - C W Coppin
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | | | - G Duan
- Research School of Biology, Australian National University, Canberra, ACT, Australia
| | - C A Farnsworth
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - R T Good
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - L B Han
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Y C Han
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
| | - K Hatje
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - I Horne
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - Y P Huang
- Institute of Plant Physiology and Ecology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - D S T Hughes
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - E Jacquin-Joly
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - W James
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - S Jhangiani
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - M Kollmar
- Max Planck Institute for Biophysical Chemistry, Gottingen, Germany
| | - S S Kuwar
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - S Li
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - N-Y Liu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Key Laboratory of Forest Disaster Warning and Control of Yunnan Province, Southwest Forestry University, Kunming, 650224, China
| | - M T Maibeche
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
- National Institute for Agricultural Research (INRA), Institute of Ecology and Environmental Sciences of Paris, Versailles, France
| | - J R Miller
- J. Craig Venter Institute, Rockville, MD, USA
| | - N Montagne
- Sorbonnes Universités, UPMC Université Paris 06, Institute of Ecology and Environmental Sciences of Paris, Paris, France
| | - T Perry
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - J Qu
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - S V Song
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - G G Sutton
- J. Craig Venter Institute, Rockville, MD, USA
| | - H Vogel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - B P Walenz
- J. Craig Venter Institute, Rockville, MD, USA
| | - W Xu
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- School of Veterinary and Life Sciences, Murdoch University, Perth, WA, Australia
| | - H-J Zhang
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
- Chongqing Key Laboratory of Biochemistry and Molecular Pharmacology, Chongqing Medical University, Chongqing, 400016, China
| | - Z Zou
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - P Batterham
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | | | - R Feyereisen
- Department of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej, Denmark
| | - R A Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - D G Heckel
- Max Planck Institute of Chemical Ecology, Jena, Germany
| | - A McGrath
- CSIRO Black Mountain, GPO Box 1700, Canberra, ACT, 2600, Australia
| | - C Robin
- School of Biological Sciences, University of Melbourne, Parkville, Vic, Australia
| | - S E Scherer
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - K C Worley
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Y D Wu
- College of Plant Protection, Nanjing Agricultural University, Nanjing, Jiangsu, China
| |
Collapse
|
44
|
Wu PF, Liu LT, Wang L, Wang Y, Zhong M, Zhou ZB, Zou Z. A gyro-stabilized platform leveling loop for marine gravimeter. Rev Sci Instrum 2017; 88:064501. [PMID: 28667982 DOI: 10.1063/1.4984824] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
An ultra-low-frequency platform leveling loop based on a mixed sensitivity H∞ approach, which considers both the system bandwidth and response speed, was designed and applied to a prototype, two-axis gyro-stabilized platform marine gravimeter CHZ-II. The instrument was developed for regional surveys in deep ocean areas where high-resolution gravity measurements with accuracy 1 mGal are required. Horizontal accelerations in the surge and sway directions are suppressed about 60 dB in the frequency range 0.05 to 0.5 Hz. This typically improves the quality of the gravity data before any processing corrections. The time required for stabilizing the platform at the beginning of a survey line or course change is about 3 min, which improves the data collection efficiency. In May 2015, the first test was conducted in open sea conditions aboard the Chinese State Oceanic Administration's R/V Xiangyanghong 10. Sixteen traverses were run in the South China Sea to evaluate the loop performance. Platform motion tracks and gravity data from the survey were of satisfactory quality. According to analyses of 16 sets of calculated errors, the root mean square repeatability of the pitch and roll off-level angles were less than 10 and 20 arc sec, respectively, with a horizontal acceleration of about 50 Gal. Errors derived from the inability of the platform to maintain perfect sensor leveling during the survey cruise were less than 0.3 mGal.
Collapse
Affiliation(s)
- P F Wu
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - L T Liu
- Institute of Geodesy and Geophysics, Chinese Academy Sciences, Wuhan 430077, China
| | - L Wang
- Institute of Geodesy and Geophysics, Chinese Academy Sciences, Wuhan 430077, China
| | - Y Wang
- Institute of Geodesy and Geophysics, Chinese Academy Sciences, Wuhan 430077, China
| | - M Zhong
- Institute of Geodesy and Geophysics, Chinese Academy Sciences, Wuhan 430077, China
| | - Z B Zhou
- School of Physics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Z Zou
- Institute of Geodesy and Geophysics, Chinese Academy Sciences, Wuhan 430077, China
| |
Collapse
|
45
|
Zou Z, Zuo D, Yang J, Fan H. The ANXA1 released from intestinal epithelial cells alleviate DSS-induced colitis by improving NKG2A expression of Natural Killer cells. Biochem Biophys Res Commun 2016; 478:213-220. [DOI: 10.1016/j.bbrc.2016.07.066] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 07/16/2016] [Indexed: 01/08/2023]
|
46
|
Yang Y, Wei J, Wu N, Zhang Y, Wang Q, Du J, Zou Z, Liu B. P-056 Peritoneal recurrence or metastasis in relation to outcome in locally advanced and metastatic gastric cancer. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv233.56] [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: 11/12/2022] Open
|
47
|
Sha H, Zou Z, Liu B. P-014 A Tumor-penetrating Recombinant Protein anti-EGFR-iRGD Enhance Efficacy of Paclitaxel in 3D multicellular spheroids and Gastric Cancer in vivo. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv233.14] [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
|
48
|
Kong W, Wang Q, Wei J, Yang Y, Zhang Y, Zou Z, Liu B. P-065 Prognostic value of carbohydrate tumor markers and inflammation-based markers in gastric cancer. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv233.65] [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: 11/12/2022] Open
|
49
|
Liu B, Wei J, Wu N, Yu L, Zou Z, Yang Y. P-054 Evaluation of driver mutations involving in RAS-RAF/PI3K-mToR pathway in gastric signet ring cell carcinoma. Ann Oncol 2015. [DOI: 10.1093/annonc/mdv233.54] [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: 11/14/2022] Open
|
50
|
Xu C, Ju X, Song D, Huang F, Tang D, Zou Z, Zhang C, Joshi T, Jia L, Xu W, Xu KF, Wang Q, Xiong Y, Guo Z, Chen X, Huang F, Xu J, Zhong Y, Zhu Y, Peng Y, Wang L, Zhang X, Jiang R, Li D, Jiang T, Xu D, Jiang C. An association analysis between psychophysical characteristics and genome-wide gene expression changes in human adaptation to the extreme climate at the Antarctic Dome Argus. Mol Psychiatry 2015; 20:536-44. [PMID: 25199918 DOI: 10.1038/mp.2014.72] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Revised: 05/26/2014] [Accepted: 06/05/2014] [Indexed: 11/09/2022]
Abstract
Genome-wide gene expression measurements have enabled comprehensive studies that integrate the changes of gene expression and phenotypic information to uncover their novel associations. Here we reported the association analysis between psychophysical phenotypes and genome-wide gene expression changes in human adaptation to one of the most extreme climates on Earth, the Antarctic Dome Argus. Dome A is the highest ice feature in Antarctica, and may be the coldest, driest and windiest location on earth. It is considered unapproachable due to its hostile environment. In 2007, a Chinese team of 17 male explorers made the expedition to Dome A for scientific investigation. Overall, 133 psychophysical phenotypes were recorded, and genome-wide gene expression profiles from the blood samples of the explorers were measured before their departure and upon their arrival at Dome A. We found that mood disturbances, including tension (anxiety), depression, anger and fatigue, had a strong, positive, linear relationship with the level of a male sex hormone, testosterone, using the Pearson correlation coefficient (PCC) analysis. We also demonstrated that significantly lowest-level Gene Ontology groups in changes of gene expression in blood cells with erythrocyte removal were consistent with the adaptation of the psychophysical characteristics. Interestingly, we discovered a list of genes that were strongly related to significant phenotypes using phenotype and gene expression PCC analysis. Importantly, among the 70 genes that were identified, most were significantly related to mood disturbances, where 42 genes have been reported in the literature mining, suggesting that the other 28 genes were likely novel genes involved in the mood disturbance mechanism. Taken together, our association analysis provides a reliable method to uncover novel genes and mechanisms related to phenotypes, although further studies are needed.
Collapse
Affiliation(s)
- C Xu
- United Laboratory of Polar Medical Sciences, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - X Ju
- Department of Biochemistry and Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - D Song
- School of Computer Science, Beijing Institute of Technology, Beijing, China
| | - F Huang
- Department of Biochemistry and Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - D Tang
- Luzhou Medical School Affiliated Hospital of Traditional Chinese Medicine, Sichuan, China
| | - Z Zou
- Department of Biochemistry and Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - C Zhang
- Department of Computer Science, Informatics Institute and C.S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - T Joshi
- Department of Computer Science, Informatics Institute and C.S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - L Jia
- School of Computer Science, Beijing Institute of Technology, Beijing, China
| | - W Xu
- Center for Translational Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China
| | - K-F Xu
- Center for Translational Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China
| | - Q Wang
- United Laboratory of Polar Medical Sciences, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - Y Xiong
- United Laboratory of Polar Medical Sciences, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - Z Guo
- United Laboratory of Polar Medical Sciences, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - X Chen
- United Laboratory of Polar Medical Sciences, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - F Huang
- United Laboratory of Polar Medical Sciences, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China
| | - J Xu
- Department of Biochemistry and Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - Y Zhong
- Department of Biochemistry and Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - Y Zhu
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - Y Peng
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - L Wang
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China
| | - X Zhang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - R Jiang
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing, China
| | - D Li
- Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China
| | - T Jiang
- 1] MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing, China [2] Department of Computer Science and Engineering, University of California, Riverside, CA, USA
| | - D Xu
- Department of Computer Science, Informatics Institute and C.S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - C Jiang
- 1] United Laboratory of Polar Medical Sciences, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China [2] Department of Biochemistry and Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Tsinghua University, Beijing, China [3] Center for Translational Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Beijing, China
| |
Collapse
|