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Liu Z, Huang H, Ren J, Song T, Ni Y, Mao S, Yang Y, Liu D, Tang H. Plasma exosomes contain protein biomarkers valuable for the diagnosis of lung cancer. Discov Oncol 2024; 15:194. [PMID: 38806979 PMCID: PMC11133266 DOI: 10.1007/s12672-024-01022-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 05/08/2024] [Indexed: 05/30/2024] Open
Abstract
Accumulating evidence indicates that exosomal proteins are critical in diagnosing malignant tumors. To identify novel exosomal biomarkers for lung cancer diagnosis, we isolated plasma exosomes from 517 lung cancer patients and 168 healthy controls (NLs)-186 lung adenocarcinoma (LUAD) patients (screening (SN): 20, validation (VD): 166), 159 lung squamous carcinoma (LUSC) patients (SN: 20, VD: 139), 172 benign nodules (LUBN) patients (SN: 20, VD: 152) and 168 NLs (SN: 20, VD: 148)-and randomly assigned them to the SN or VD group. Proteomic analysis by LC-MS/MS and PRM were performed on all groups. The candidate humoral markers were evaluated and screened by a machine learning method. All selected biomarkers were identified in the VD groups. For LUAD, a 7-protein panel had AUCs of 97.9% and 87.6% in the training and test sets, respectively, and 89.5% for early LUAD. For LUSC, an 8-protein panel showed AUCs of 99.1% and 87.0% in the training and test sets and 92.3% for early LUSC. For LUAD + LUSC (LC), an 8-protein panel showed AUCs of 85.9% and 80.3% in the training and test sets and 87.1% for early LC diagnosis. The characteristics of the exosomal proteome make exosomes potential diagnostic tools.
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Affiliation(s)
- Zhiqiang Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China
| | - Hong Huang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China
| | - Jing Ren
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China
| | - Tingting Song
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China
| | - Yinyun Ni
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China
| | - Shengqiang Mao
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China
| | - Ying Yang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China
| | - Dan Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
- Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
- Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China.
| | - Huairong Tang
- Center of Health Management, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
- The Research Units of West China, Chinese Academy of Medical Sciences, West China Hospital, Chengdu, Sichuan, China.
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Zhou Y, Hu Y, Yan X, Zheng Y, Liu S, Yao H. Smoking index and COPD duration as potential risk factors for development of osteoporosis in patients with non-small cell lung cancer - A retrospective case control study evaluated by CT Hounsfield unit. Heliyon 2023; 9:e20885. [PMID: 37886787 PMCID: PMC10597819 DOI: 10.1016/j.heliyon.2023.e20885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 09/26/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023] Open
Abstract
Objective To investigate the effect of smoking index (calculated as number of cigarettes per day × smoking years) and chronic obstructive pulmonary disease (COPD) duration on osteoporosis (OP)evaluated by opportunistic chest CT in patients with non-small cell lung cancer (NSCLC). Methods A total of 101 patients diagnosed with NSCLC were included in our cohort study. Among them, 50 patients with a history of smoking and COPD were assigned to the experimental group, while 51 patients without a history of smoking and COPD were assigned to the control group. Hounsfield unit (HU) value was measured by conventional chest CT to investigate the bone mineral density; and the mean values of axial HU value in the upper, middle and lower parts of T4, T7, T10 and L1 vertebral bodies were measured as the study variables. Results There were no significant differences in gender, age, body mass index, type of lung cancer, clinical stage of lung cancer and comorbidities between the two groups (P = 0.938,P = 0.158,P = 0.722,P = 0.596,P = 0.813,P = 0.655). The overall mean HU values of T4, T7, T10, L1 in the experimental group were 116.60 ± 30.67, 110.56 ± 30.03, 109.18 (96.85-122.95), 94.63 (85.20-104.12) and 106.86 ± 22.26, respectively, which were significantly lower than those in the control group (189.55 ± 34.57, 174.54 ± 35.30, 172.73 (156.33-199.50), 158.20 (141.60-179.40) and 177.50 ± 33.49) (P <0.05). And in the experimental group, smoking index and COPD duration were significantly and negatively correlated with HU values (r = -0.627, -0.542, P <0.05, respectively). Conclusion Patients with NSCLC who have a history of smoking and COPD exhibit a notably lower HU value compared to the control groups. Additionally, it has been observed that the smoking index and duration of COPD may be influential factors affecting bone mineral density in NSCLC patients.
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Affiliation(s)
- Yue Zhou
- Department of Respiratory Medicine, Guizhou Provincial People's Hospital, Guizhou Province, China
- School of Graduates, Zunyi Medical University, China
| | - Yunxiang Hu
- Department of Orthopedics, Central Hospital of Dalian University of Technology, Dalian City, Liaoning Province, China
- School of Graduates, Dalian Medical University, China
| | - Xixi Yan
- Department of Respiratory Medicine, Guizhou Provincial People's Hospital, Guizhou Province, China
- School of Graduates, Zunyi Medical University, China
| | - Yueyue Zheng
- Department of Respiratory Medicine, Guizhou Provincial People's Hospital, Guizhou Province, China
- School of Graduates, Zunyi Medical University, China
| | - Sanmao Liu
- Department of Orthopedics, Central Hospital of Dalian University of Technology, Dalian City, Liaoning Province, China
- School of Graduates, Dalian Medical University, China
| | - Hongmei Yao
- Department of Respiratory Medicine, Guizhou Provincial People's Hospital, Guizhou Province, China
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Fu L, Wang R, Yin L, Shang X, Zhang R, Zhang P. CYFRA21-1 tests in the diagnosis of non-small cell lung cancer: A meta-analysis. Int J Biol Markers 2019; 34:251-261. [PMID: 31436122 DOI: 10.1177/1724600819868234] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE The aim of the study was to evaluate the diagnostic value of soluble fragment of cytokeratin 19 (CYFRA21-1) tests in detecting non-small cell lung cancer (NSCLC), including squamous cell carcinoma, lung adenocarcinoma, and large cell carcinoma. METHODS The relevant studies were identified from PubMed, Embase and the Cochrane Library before November 2018. Summary estimates for sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CYFRA21-1 tests for the diagnosis of NSCLC were calculated using the random effects model. A summary receiver operating characteristic (SROC) curve was used to assess the overall effectiveness of the test. Meta-DiSc 1.4 and Stata11.0 were applied to the statistical analysis. Publication bias was detected using Egger's test. RESULTS A total of 22 studies consisting of 7910 NSCLC patients (squamous cell carcinoma/lung adenocarcinoma/large cell carcinoma) and 2630 benign lesions patients that met the inclusion criteria were included. The meta-analysis showed that CYFRA21-1 tests had a relatively high accuracy for squamous cell carcinoma detection and a lower accuracy for lung adenocarcinoma detection. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CYFRA21-1 tests for squamous cell carcinoma detection were 0.72 (95% confidence interval (CI) 0.70, 0.74), 0.94 (95% CI 0.92, 0.95), 9.73 (95% CI 7.06, 13.40), 0.37 (95% CI 0.29, 0.47), and 27.30 (95% CI 17.68, 42.16), respectively. The area under the SROC curve was 0.9171 (Q* = 0.8500). No publication bias was tested in the squamous cell carcinoma (P = 0.567) and lung adenocarcinoma (P = 0.378) groups. CONCLUSIONS CYFRA21-1 tests might be appropriate for detecting squamous cell carcinoma.
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Affiliation(s)
- Lei Fu
- Core Laboratory of Translational Medicine, Chinese PLA General Hospital, Beijing, China.,Joint Logistics College, National Defence University of PLA, Beijing, China
| | - Rong Wang
- National Research Institute for Family Planning, Beijing, China
| | - Ling Yin
- Core Laboratory of Translational Medicine, Chinese PLA General Hospital, Beijing, China
| | - Xiaopu Shang
- School of Economics and Management, Beijing Jiaotong University, Beijing, China
| | - Runtong Zhang
- School of Economics and Management, Beijing Jiaotong University, Beijing, China
| | - Pengjun Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education of China), Department of Interventional Therapy, Peking University Cancer Hospital and Institute, Beijing, China
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Gao J, Lin X, He Y, Fu Y, Wu Y, Liao J, Wu Y, Lian X. The Comparison of Different Obesity Indexes and the Risk of Lung Cancer: A Meta-Analysis of Prospective Cohort Studies. Nutr Cancer 2019; 71:908-921. [DOI: 10.1080/01635581.2019.1595037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Jing Gao
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Xiaojing Lin
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Yunyun He
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Youyun Fu
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Youqile Wu
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Jie Liao
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
| | - Yang Wu
- Chongqing key Laboratory of Oral Diseases and Biomedical Sciences College of Stomatology, Chongqing Medical University, Chongqing, P.R. China
| | - Xuemei Lian
- School of Public Health and Management, Research Center for Medicine and Social Development Innovation Center for Social Risk Governance in Health Chongqing Medical University, Chongqing, P.R. China
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Center for Lipid Research, Chongqing, China
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