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Xu X, Zhang Z, Shen T, Pan H, Chang D. Visual dual-mode aptasensor for non-small cell lung cancer exosome detection via HRP self-coupling enhanced oxidized iridium nanoparticle aggregation. ANAL SCI 2024:10.1007/s44211-024-00582-y. [PMID: 38900232 DOI: 10.1007/s44211-024-00582-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 04/15/2024] [Indexed: 06/21/2024]
Abstract
The main reason for the high mortality rate of non-small cell lung cancer is that patients are usually diagnosed at an advanced stage of the disease. Exosomes, small membrane vesicles secreted by normal cells or tumor cells, play a significant role in the progression of NSCLC. This study successfully optimized the preparation of artificial nanoenzymes self-coupling with horseradish peroxidase (IrO2NPs@HRP-AptCD63), without adding any ligand, demonstrating remarkable catalytic activity suitable for detecting the EGFR protein on the surface of NSCLC exosomes. When fused with the CD63 aptamer for identifying NSCLC exosomes, IrO2NPs@HRP showed enhanced catalytic activity in the 3,3',5,5'-tetramethylbenzidine-H2O2 oxidation-reduction system, thereby enhancing the colorimetric signal. This phenomenon can be distinguished by the naked eye and quantified using a UV-Vis spectrophotometer. Meanwhile, as the redox reaction occurs, the current signal of 3,3',5,5'-tetramethylbenzidine-H2O2, acting as an electrolyte, changes. The developed aptasensor generates dual-mode signal outputs, firstly, to visually assess the samples for their positive or negative status, and subsequently employ more in-depth electrochemical or colorimetric analysis methods for a detailed quantitative analysis of suspected positive samples. The detection limits of electrochemical analysis and colorimetric analysis were 0.9 × 103 particles/mL and 0.14 × 103 particles/mL, respectively. Compared with traditional biomarkers such as CA125, this method exhibits exceptional specificity, capable of simultaneously distinguishing serum exosomes of healthy volunteers, COPD patients, and NSCLC patients, promoting exosome detection in mouse models for tumor monitoring. Additionally, it elucidates the changes in EGFR protein expression on the surface of serum exosomes throughout the developmental trajectory.
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Affiliation(s)
- Xin Xu
- Department of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, China
| | - Ze Zhang
- Department of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, China
| | - Tong Shen
- Department of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, China
- Hebei Medical University, Hebei, 050011, China
| | - Hongzhi Pan
- Collaborative Research Center, Shanghai University of Medicine and Health Sciences, Shanghai, 201399, China.
| | - Dong Chang
- Department of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, China.
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2
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Spagnolo CC, Pepe F, Ciappina G, Nucera F, Ruggeri P, Squeri A, Speranza D, Silvestris N, Malapelle U, Santarpia M. Circulating biomarkers as predictors of response to immune checkpoint inhibitors in NSCLC: Are we on the right path? Crit Rev Oncol Hematol 2024; 197:104332. [PMID: 38580184 DOI: 10.1016/j.critrevonc.2024.104332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Accepted: 03/25/2024] [Indexed: 04/07/2024] Open
Abstract
Immune checkpoints inhibitors (ICIs) have markedly improved the therapeutic management of advanced NSCLC and, more recently, they have demonstrated efficacy also in the early-stage disease. Despite better survival outcomes with ICIs compared to standard chemotherapy, a large proportion of patients can derive limited clinical benefit from these agents. So far, few predictive biomarkers, including the programmed death-ligand 1 (PD-L1), have been introduced in clinical practice. Therefore, there is an urgent need to identify novel biomarkers to select patients for immunotherapy, to improve efficacy and avoid unnecessary toxicity. A deeper understanding of the mechanisms involved in antitumor immunity and advances in the field of liquid biopsy have led to the identification of a wide range of circulating biomarkers that could potentially predict response to immunotherapy. Herein, we provide an updated overview of these circulating biomarkers, focusing on emerging data from clinical studies and describing modern technologies used for their detection.
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Affiliation(s)
- Calogera Claudia Spagnolo
- Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina 98122, Italy
| | - Francesco Pepe
- Department of Public Health, University of Naples Federico II, Via S. Pansini, Naples 80131, Italy
| | - Giuliana Ciappina
- Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina 98122, Italy
| | - Francesco Nucera
- Respiratory Medicine Unit, Department of Biomedical Sciences, Dentistry and Morphological and Functional Imaging (BIOMORF), University of Messina, Messina 98122, Italy
| | - Paolo Ruggeri
- Respiratory Medicine Unit, Department of Biomedical Sciences, Dentistry and Morphological and Functional Imaging (BIOMORF), University of Messina, Messina 98122, Italy
| | - Andrea Squeri
- Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina 98122, Italy
| | - Desirèe Speranza
- Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina 98122, Italy
| | - Nicola Silvestris
- Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina 98122, Italy
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Via S. Pansini, Naples 80131, Italy
| | - Mariacarmela Santarpia
- Medical Oncology Unit, Department of Human Pathology "G. Barresi", University of Messina, Messina 98122, Italy.
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3
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Anitha K, Posinasetty B, Naveen Kumari K, Chenchula S, Padmavathi R, Prakash S, Radhika C. Liquid biopsy for precision diagnostics and therapeutics. Clin Chim Acta 2024; 554:117746. [PMID: 38151071 DOI: 10.1016/j.cca.2023.117746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/22/2023] [Accepted: 12/23/2023] [Indexed: 12/29/2023]
Abstract
Liquid biopsy (LB) has emerged as a highly promising and non-invasive diagnostic approach, particularly in the field of oncology, and has garnered interest in various medical disciplines. This technique involves the examination of biomolecules released into physiological fluids, such as urine samples, blood, and cerebrospinal fluid (CSF). The analysed biomolecules included circulating tumour DNA (ctDNA), circulating tumour cells (CTCs), cell-free DNA (cfDNA), exosomes, and other cell-free components. In contrast to conventional tissue biopsies, LB provides minimally invasive diagnostics, offering invaluable insights into tumor characteristics, treatment response, and early disease detection. This Review explores the contemporary landscape of technologies and clinical applications in the realm of LB, with a particular emphasis on the isolation and analysis of ctDNA and/or cfDNA. Various methodologies have been employed, including droplet digital polymerase chain reaction (DDP), BEAMing (beads, emulsion, amplification, and magnetics), TAm-Seq (tagged-amplicon deep sequencing), CAPP-Seq (cancer personalized profiling by deep sequencing), WGBS-Seq (whole genome bisulfite sequencing), WES (whole exome sequencing), and WGS (whole-genome sequencing). Additionally, CTCs have been successfully isolated through biomarker-based cell capture, employing both positive and negative enrichment strategies based on diverse biophysical and other inherent properties. This approach also addresses challenges and limitations associated with liquid biopsy techniques, such as sensitivity, specificity, standardization and interpretability of findings. This review seeks to identify the current technologies used in liquid biopsy samples, emphasizing their significance in identifying tumor markers for cancer detection, prognosis, and treatment outcome monitoring.
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Affiliation(s)
- Kuttiappan Anitha
- Department of Pharmacology, School of Pharmacy and Technology Management (SPTM), SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed-to-University, Shirpur 425405, India
| | | | - K Naveen Kumari
- Sri Krishna Teja Pharmacy College, Tirupati, Andhra Pradesh 517502, India
| | | | - R Padmavathi
- SVS Medical College, Hyderabad, Telangana, India
| | - Satya Prakash
- All India Institute of Medical Sciences, Bhopal 462020, India
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Najafi S, Asemani Y, Majidpoor J, Mahmoudi R, Aghaei-Zarch SM, Mortezaee K. Tumor-educated platelets. Clin Chim Acta 2024; 552:117690. [PMID: 38056548 DOI: 10.1016/j.cca.2023.117690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/29/2023] [Accepted: 12/02/2023] [Indexed: 12/08/2023]
Abstract
Beyond traditional roles in homeostasis and coagulation, growing evidence suggests that platelets also reflect malignant transformation in cancer. Platelets are present in the tumor microenvironment where they interact with cancer cells. This interaction results in direct and indirect "education" as evident by platelet alterations in adhesion molecules, glycoproteins, nucleic acids, proteins and various receptors. Subsequently, these tumor-educated platelets (TEPs) circulate throughout the body and play pivotal roles in promotion of tumor growth and dissemination. Accordingly, platelet status can be considered a unique blood-based biomarker that can potentially predict prognosis and therapeutic success. Recently, liquid biopsies including TEPs have received much attention as safe, minimally invasive and sensitive alternatives for patient management. Herein, we provide an overview of TEPs and explore their benefits and limitations in cancer.
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Affiliation(s)
- Sajad Najafi
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Cellular and Molecular Biology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Yahya Asemani
- Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Jamal Majidpoor
- Department of Anatomy, School of Medicine, Infectious Diseases Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Reza Mahmoudi
- Department of Toxicology and Pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Mohsen Aghaei-Zarch
- Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Keywan Mortezaee
- Department of Anatomy, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran.
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5
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Celik B, Pasin O, Sen S, Tuncer SB, Kayım ZY, Erciyas SK, Erdogan OS, Gultaslar BK, Ghafour AA, Yazıcı H, Olgac NV. DNA methylation of KIFC1 gene in determination of histological diagnosis, prognosis and metastasis of lung cancer. Pathol Res Pract 2023; 249:154742. [PMID: 37666088 DOI: 10.1016/j.prp.2023.154742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 07/29/2023] [Accepted: 08/03/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND One of the main features of cancer, especially lung cancer (LC), is abnormal cell division. Abnormal expression of kinesin family member C1 (KIFC1/HSET), which is involved in mitotic cell division and ensures equatorial alignment of chromosomes during division, is observed in both premalignant and malignant lesions. There are no studies in the literature addressing the role of KIFC1 in the diagnosis and follow-up of LC. In this study, we investigated the epigenetic role of KIFC1 in the diagnosis, stage, and prognosis of various histological subtypes diagnosed with LC. MATERIAL AND METHODS The expression and methylation status of the KIFC1 gene were examined after DNA/RNA isolation in tumor, conjugate normal tissue, and blood samples from 39 patients diagnosed with LC and in blood samples from 39 healthy controls. Changes in KIFC1 gene expression were examined by the Quantitative Real Time-PCR (qRT-PCR) method after cDNA synthesis following RNA isolation. The Methylation-Specific PCR (MSP) method was used to determine the methylation status of the KIFC1 gene. In this study, the expression/methylation profiles of the KIFC1 gene and the clinical and pathological characteristics of the patients were analyzed by statistical methods. RESULT Hypomethylation was detected in 95.8% of the 62.1% of patients' tissues with increased KIFC1 gene expression. The expression level of the KIFC1 gene was found to be increased 3.2-fold in the tumor tissues of the patients compared with the conjugated normal tissues and 2.4-fold in the serum of the patients compared with the healthy serum. Statistical comparison of patients' clinical parameters and methylation and expression results revealed statistical significance between KIFC1 expression and metastasis, tumor stage and tumor grade. CONCLUSION In conclusion, the increase in the expression level of the KIFC1 gene is higher in patients diagnosed with LC than in the healthy population, and therefore, the increase in the expression level of the KIFC1 gene due to hypomethylation can be used as a screening biomarker in LC. It can also be considered that the methylation profile of the KIFC1 gene may be a potential biomarker for determining the subtype of squamous cell carcinoma in LC. The results of the study need to be analyzed and continued with a larger number of patients.
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Affiliation(s)
- Betul Celik
- Istanbul University, Institute of Graduate Studies in Health Sciences, Department of Cancer Genetics, Istanbul, Türkiye; Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye; Molecular Biology Department, Erzincan Binali Yıldırım University, Erzincan, Türkiye.
| | - Ozge Pasin
- Department of Biostatistics, Bezmialem University, Istanbul, Türkiye.
| | - Sena Sen
- Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye.
| | - Seref Bugra Tuncer
- Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye.
| | - Zubeyde Yalnız Kayım
- Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye.
| | - Seda Kılıc Erciyas
- Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye.
| | - Ozge Sukruoglu Erdogan
- Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye.
| | - Busra Kurt Gultaslar
- Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye.
| | - Arash Adamnejad Ghafour
- Department of Cancer Genetics, Istanbul Faculty of Medicine, Oncology Institute, Istanbul University, Istanbul, Türkiye.
| | - Hulya Yazıcı
- Istanbul Arel University, Arel Medical Faculty, Department of Medical Biology and Genetics, Istanbul, Türkiye.
| | - Necat Vakur Olgac
- Istanbul University, Institute of Graduate Studies in Health Sciences, Department of Cancer Genetics, Istanbul, Türkiye; Tumor Pathology Department, Department of Clinical Oncology, Oncology Institute, Istanbul University, Istanbul, Türkiye.
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6
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Zhou C, Qin Y, Zhao W, Liang Z, Li M, Liu D, Bai L, Chen Y, Chen Y, Cheng Y, Chu T, Chu Q, Deng H, Dong Y, Fang W, Fu X, Gao B, Han Y, He Y, Hong Q, Hu J, Hu Y, Jiang L, Jin Y, Lan F, Li Q, Li S, Li W, Li Y, Liang W, Lin G, Lin X, Liu M, Liu X, Liu X, Liu Z, Lv T, Mu C, Ouyang M, Qin J, Ren S, Shi H, Shi M, Su C, Su J, Sun D, Sun Y, Tang H, Wang H, Wang K, Wang K, Wang M, Wang Q, Wang W, Wang X, Wang Y, Wang Z, Wang Z, Wu L, Wu D, Xie B, Xie M, Xie X, Xie Z, Xu S, Xu X, Yang X, Yin Y, Yu Z, Zhang J, Zhang J, Zhang J, Zhang X, Zhang Y, Zhong D, Zhou Q, Zhou X, Zhou Y, Zhu B, Zhu Z, Zou C, Zhong N, He J, Bai C, Hu C, Li W, Song Y, Zhou J, Han B, Varga J, Barreiro E, Park HY, Petrella F, Saito Y, Goto T, Igai H, Bravaccini S, Zanoni M, Solli P, Watanabe S, Fiorelli A, Nakada T, Ichiki Y, Berardi R, Tsoukalas N, Girard N, Rossi A, Passaro A, Hida T, Li S, Chen L, Chen R. International expert consensus on diagnosis and treatment of lung cancer complicated by chronic obstructive pulmonary disease. Transl Lung Cancer Res 2023; 12:1661-1701. [PMID: 37691866 PMCID: PMC10483081 DOI: 10.21037/tlcr-23-339] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/04/2023] [Indexed: 09/12/2023]
Abstract
Background Lung cancer combined by chronic obstructive pulmonary disease (LC-COPD) is a common comorbidity and their interaction with each other poses significant clinical challenges. However, there is a lack of well-established consensus on the diagnosis and treatment of LC-COPD. Methods A panel of experts, comprising specialists in oncology, respiratory medicine, radiology, interventional medicine, and thoracic surgery, was convened. The panel was presented with a comprehensive review of the current evidence pertaining to LC-COPD. After thorough discussions, the panel reached a consensus on 17 recommendations with over 70% agreement in voting to enhance the management of LC-COPD and optimize the care of these patients. Results The 17 statements focused on pathogenic mechanisms (n=2), general strategies (n=4), and clinical application in COPD (n=2) and lung cancer (n=9) were developed and modified. These statements provide guidance on early screening and treatment selection of LC-COPD, the interplay of lung cancer and COPD on treatment, and considerations during treatment. This consensus also emphasizes patient-centered and personalized treatment in the management of LC-COPD. Conclusions The consensus highlights the need for concurrent treatment for both lung cancer and COPD in LC-COPD patients, while being mindful of the mutual influence of the two conditions on treatment and monitoring for adverse reactions.
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Affiliation(s)
- Chengzhi Zhou
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yinyin Qin
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wei Zhao
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhenyu Liang
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Min Li
- Department of Respiratory Medicine, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha, China
| | - Dan Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Li Bai
- Department of Respiratory Medicine, Xinqiao Hospital Army Medical University, Chongqing, China
| | - Yahong Chen
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Yan Chen
- Department of Respiratory and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Yuan Cheng
- Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China
| | - Tianqing Chu
- Department of Respiratory Medicine, Shanghai Chest Hospital, Jiaotong University, Shanghai, China
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Haiyi Deng
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Yuchao Dong
- Department of Pulmonary and Critical Care Medicine, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Wenfeng Fang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiuhua Fu
- Division of Respiratory Diseases, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China
| | - Beili Gao
- Department of Respiratory, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yiping Han
- Department of Respiratory Medicine, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Yong He
- Department of Pulmonary and Critical Care Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Qunying Hong
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Hu
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi Hu
- Department of Medical Oncology, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Liyan Jiang
- Department of Respiratory Medicine, Shanghai Chest Hospital, Jiaotong University, Shanghai, China
| | - Yang Jin
- Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fen Lan
- Department of Respiratory Medicine, The Second Affiliated Hospital of Zhejiang University of Medicine, Hangzhou, China
| | - Qiang Li
- Department of Respiratory Medicine, Shanghai Dongfang Hospital, Shanghai, China
| | - Shuben Li
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Wen Li
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Yaqing Li
- Department of Internal Medicine, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Wenhua Liang
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Gen Lin
- Department of Thoracic Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Xinqing Lin
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Ming Liu
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Xiaofang Liu
- Department of Respiratory and Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Xiaoju Liu
- Department of Gerontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhefeng Liu
- Department of Oncology, General Hospital of Chinese PLA, Beijing, China
| | - Tangfeng Lv
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Chuanyong Mu
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Ming Ouyang
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Jianwen Qin
- Department of Respiratory and Critical Care Medicine, Tianjin Chest Hospital, Tianjin, China
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Huanzhong Shi
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Minhua Shi
- Department of Respiratory Medicine, The Second Affiliated Hospital of Suzhou University, Suzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jin Su
- Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Dejun Sun
- Department of Respiratory and Critical Care Medicine, Inner Mongolia Autonomous Region People’s Hospital, Hohhot, China
| | - Yongchang Sun
- Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing, China
| | - Huaping Tang
- Department of Respiratory Medicine, Qingdao Municipal Hospital, Qingdao, China
| | - Huijuan Wang
- Department of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Kai Wang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Zhejiang University of Medicine, Hangzhou, China
| | - Ke Wang
- Department of Respiratory Medicine, The Second Hospital of Jilin University, Changchun, China
| | - Mengzhao Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Qi Wang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Wei Wang
- Department of Pulmonary and Critical Care Medicine, the First Hospital of China Medical University, Shenyang, China
| | - Xiaoping Wang
- Department of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
| | - Yuehong Wang
- Department of Respiratory Medicine, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhijie Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zirui Wang
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Lin Wu
- Thoracic Medicine Department II, Hunan Cancer Hospital, Changsha, China
| | - Di Wu
- Department of Respiratory Medicine, Shenzhen People’s Hospital, Shenzhen, China
| | - Baosong Xie
- Department of Respiratory Medicine, Fujian Provincial Hospital, Fuzhou, China
| | - Min Xie
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohong Xie
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Zhanhong Xie
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Shufeng Xu
- Department of Respiratory and Critical Care Medicine, First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Xiaoman Xu
- Department of Respiratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xia Yang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yan Yin
- Department of Pulmonary and Critical Care Medicine, the First Hospital of China Medical University, Shenyang, China
| | - Zongyang Yu
- Department of Pulmonary and Critical Care Medicine, The 900th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Jian Zhang
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Jianqing Zhang
- Second Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jing Zhang
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaoju Zhang
- Department of Respiratory and Critical Care Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University, Zhengzhou, China
| | - Yingying Zhang
- Department of Medical Oncology, Xiangya Hospital, Central South University, Changsha, China
| | - Diansheng Zhong
- Department of Medical Oncology, Tianjin Medical University General Hospital, Tianjin, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xiangdong Zhou
- Department of Respiratory Medicine, The First Affiliated Hospital of Army Medical University, Chongqing, China
| | - Yanbin Zhou
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Bo Zhu
- Chongqing Key Laboratory of Immunotherapy, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Chenxi Zou
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Nanshan Zhong
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Jianxing He
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Chunxue Bai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Chengping Hu
- Department of Pulmonary Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Song
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Jianying Zhou
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Baohui Han
- Department of Pulmonology, Shanghai Chest Hospital, Shanghai, China
| | - Janos Varga
- Department of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Esther Barreiro
- Pulmonology Department-Lung Cancer and Muscle Research Group, IMIM-Hospital del Mar, Parc de Salut Mar, Department of Medicine and Life Sciences (MELIS), Pompeu Fabra University (UPF), CIBER de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII) Barcelona, Spain
| | - Hye Yun Park
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Francesco Petrella
- Division of Thoracic Surgery, IRCCS European Institute of Oncology, Milan, Italy
- Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Yuichi Saito
- Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Hitoshi Igai
- Department of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Gunma, Japan
| | - Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Michele Zanoni
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Piergiorgio Solli
- Department of Cardio-Thoracic Surgery and Hearth & Lung Transplantation, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Satoshi Watanabe
- Department of Respiratory Medicine and Infectious Diseases, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Alfonso Fiorelli
- Thoracic Surgery Unit, Universitàdella Campania Luigi Vanvitelli, Naples, Italy
| | - Takeo Nakada
- Division of Thoracic Surgery, Department of Surgery, the Jikei University School of Medicine, Tokyo, Japan
| | - Yoshinobu Ichiki
- Department of General Thoracic Surgery, Saitama Medical University International Medical Center, Saitama, Japan
| | - Rossana Berardi
- Clinica Oncologica, Università Politecnica delle Marche, Azienda Ospedaliero-Universitaria delle Marche, Ancona, Italy
| | | | - Nicolas Girard
- Institut du Thorax Curie Montsouris, Institut Curie, Paris, France
- Paris Saclay, UVSQ, Versailles, France
| | - Antonio Rossi
- Oncology Center of Excellence, Therapeutic Science & Strategy Unit, IQVIA, Milan, Italy
| | - Antonio Passaro
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Toyoaki Hida
- Lung Cancer Center, Central Japan International Medical Center, Minokamo, Japan
| | - Shiyue Li
- The First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China
| | - Liang’an Chen
- Department of Respiratory and Critical Care Medicine, Chinese People’s Liberation Army (PLA) General Hospital, Beijing, China
| | - Rongchang Chen
- Shenzhen Institute of Respiratory Diseases, Shenzhen People’s Hospital, Shenzhen, China
- Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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7
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Qiu T, Zhi X, Ren S. Recent advance of next-generation sequencing in patients with lung cancer. Expert Rev Mol Diagn 2023; 23:959-970. [PMID: 37750512 DOI: 10.1080/14737159.2023.2260755] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 09/15/2023] [Indexed: 09/27/2023]
Abstract
INTRODUCTION Precision medicine based on the driver genes mutation status is the current systemic therapeutic paradigm in patients with lung cancer. Next-generation sequencing (NGS) has emerged as a powerful platform for molecular diagnosis by virtue of high-throughput and massively parallel sequencing. Liquid biopsy also enabled the dynamic monitoring and comprehensive profiling of lung cancer in a noninvasive manner. However, challenges remain in the field of technology and clinical applications, especially in the era of immunotherapy. AREAS COVERED Here, we update the role of NGS in the context of lung cancer screening, molecular diagnosis, predictive and prognostic biomarkers, and guiding personalized treatment. EXPERT OPINION The NGS application for actable genomic alternation has greatly changed the therapeutic landscape in patients with lung cancer including perioperative setting and advanced stage. Meanwhile, emerging evidence has shown the potential of other applications such as early screening and detection, and MRD. However, challenges remain such as the lack of standardized protocols across different platforms and bioinformatics analysis pipelines, and the complexity of interpreting and leveraging numerous genomic mutation messages for therapy selection. Future research is needed to overcome these challenges and expand the applications of NGS to other aspects such as immunotherapy.
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Affiliation(s)
- Tianyu Qiu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xinxin Zhi
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China
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8
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Fernandes G, Rodrigues A, Matos C, Barata F, Cirnes L, Ferreira L, Lopes JA, Felizardo M, Fidalgo P, Brito U, Parente B. Liquid biopsy in the management of advanced lung cancer: Implementation and practical aspects. Cancer Treat Res Commun 2023; 36:100725. [PMID: 37321073 DOI: 10.1016/j.ctarc.2023.100725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/10/2023] [Accepted: 06/04/2023] [Indexed: 06/17/2023]
Abstract
Non-small-cell lung cancer (NSCLC) is a major cause of cancer-related death worldwide. In recent years, the discovery of actionable molecular alterations has changed the treatment paradigm of the disease. Tissue biopsies have been the gold standard for the identification of targetable alterations but present several limitations, calling for alternatives to detect driver and acquired resistance alterations. Liquid biopsies reveal great potential in this setting and also in the evaluation and monitoring of treatment response. However, several challenges currently hamper its widespread adoption in clinical practice. This perspective article evaluates the potential and challenges associated with liquid biopsy testing, considering a Portuguese expert panel dedicated to thoracic oncology point of view, and providing practical insights for its implementation based on the experience and applicability in the Portuguese context.
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Affiliation(s)
- Gabriela Fernandes
- Pulmonology Department, Centro Hospitalar e Universitário de São João, EPE, Porto, Portugal, Faculdade de Medicina da Universidade do Porto, Porto, Portugal, IBMC/i3S - Instituto de Biologia Molecular e Celular/Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
| | | | - Cláudia Matos
- Lung Unit, Champalimaud Foundation, Lisboa, Portugal
| | - Fernando Barata
- Pulmonology Department, Centro Hospitalar e Universitário de Coimbra, EPE - Hospitais da Universidade de Coimbra, Coimbra, Portugal
| | | | | | - José Albino Lopes
- Pulmonology Department, ULSAM, Viana do Castelo, Portugal; Unidade CUF de Oncologia, Hospital CUF Porto, Porto Portugal
| | | | - Paula Fidalgo
- Medical Oncology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal
| | - Ulisses Brito
- Pulmonology Department, Centro Hospitalar e Universitário do Algarve, Faro, Portugal
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9
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Freeman B, Mamallapalli J, Bian T, Ballas K, Lynch A, Scala A, Huo Z, Fredenburg KM, Bruijnzeel AW, Baglole CJ, Lu J, Salloum RG, Malaty J, Xing C. Opportunities and Challenges of Kava in Lung Cancer Prevention. Int J Mol Sci 2023; 24:ijms24119539. [PMID: 37298489 DOI: 10.3390/ijms24119539] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/28/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
Lung cancer is the leading cause of cancer-related deaths due to its high incidence, late diagnosis, and limited success in clinical treatment. Prevention therefore is critical to help improve lung cancer management. Although tobacco control and tobacco cessation are effective strategies for lung cancer prevention, the numbers of current and former smokers in the USA and globally are not expected to decrease significantly in the near future. Chemoprevention and interception are needed to help high-risk individuals reduce their lung cancer risk or delay lung cancer development. This article will review the epidemiological data, pre-clinical animal data, and limited clinical data that support the potential of kava in reducing human lung cancer risk via its holistic polypharmacological effects. To facilitate its future clinical translation, advanced knowledge is needed with respect to its mechanisms of action and the development of mechanism-based non-invasive biomarkers in addition to safety and efficacy in more clinically relevant animal models.
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Affiliation(s)
- Breanne Freeman
- Department of Medicinal Chemistry and Center for Natural Products, Drug Discovery and Development, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Jessica Mamallapalli
- Department of Medicinal Chemistry and Center for Natural Products, Drug Discovery and Development, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Tengfei Bian
- Department of Medicinal Chemistry and Center for Natural Products, Drug Discovery and Development, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Kayleigh Ballas
- Department of Medicinal Chemistry and Center for Natural Products, Drug Discovery and Development, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Allison Lynch
- Department of Medicinal Chemistry and Center for Natural Products, Drug Discovery and Development, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Alexander Scala
- Department of Medicinal Chemistry and Center for Natural Products, Drug Discovery and Development, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Zhiguang Huo
- Department of Biostatistics, College of Public Health & Health Professions, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Kristianna M Fredenburg
- Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Adriaan W Bruijnzeel
- Department of Psychiatry, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Carolyn J Baglole
- Department of Medicine, McGill University, Montreal, QC H3A 0G4, Canada
| | - Junxuan Lu
- Department of Pharmacology, PennState Cancer Institute, Penn State University College of Medicine, Hershey, PA 17033, USA
| | - Ramzi G Salloum
- Department of Health Outcome & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - John Malaty
- Department of Community Health & Family Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Chengguo Xing
- Department of Medicinal Chemistry and Center for Natural Products, Drug Discovery and Development, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
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10
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Einoch Amor R, Levy J, Broza YY, Vangravs R, Rapoport S, Zhang M, Wu W, Leja M, Behar JA, Haick H. Liquid Biopsy-Based Volatile Organic Compounds from Blood and Urine and Their Combined Data Sets for Highly Accurate Detection of Cancer. ACS Sens 2023; 8:1450-1461. [PMID: 36926819 DOI: 10.1021/acssensors.2c02422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Liquid biopsy is seen as a prospective tool for cancer screening and tracking. However, the difficulty lies in effectively sieving, isolating, and overseeing cancer biomarkers from the backdrop of multiple disrupting cells and substances. The current study reports on the ability to perform liquid biopsy without the need to physically filter and/or isolate the cancer cells per se. This has been achieved through the detection and classification of volatile organic compounds (VOCs) emitted from the cancer cells found in the headspace of blood or urine samples or a combined data set of both. Spectrometric analysis shows that blood and urine contain complementary or overlapping VOC information on kidney cancer, gastric cancer, lung cancer, and fibrogastroscopy subjects. Based on this information, a nanomaterial-based chemical sensor array in conjugation with machine learning as well as data fusion of the signals achieved was carried out on various body fluids to assess the VOC profiles of cancer. The detection of VOC patterns by either Gas Chromatography-Mass Spectrometry (GC-MS) analysis or our sensor array achieved >90% accuracy, >80% sensitivity, and >80% specificity in different binary classification tasks. The hybrid approach, namely, analyzing the VOC datasets of blood and urine together, contributes an additional discrimination ability to the improvement (>3%) of the model's accuracy. The contribution of the hybrid approach for an additional discrimination ability to the improvement of the model's accuracy is examined and reported.
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Affiliation(s)
- Reef Einoch Amor
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Jeremy Levy
- The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Yoav Y Broza
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Reinis Vangravs
- Institute of Clinical and Preventive Medicine & Faculty of Medicine, University of Latvia, Riga LV-1004, Latvia.,Department of Research, Riga East University Hospital, Digestive Diseases Centre GASTRO, Riga 1586, Latvia
| | - Shelley Rapoport
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Min Zhang
- School of Chemistry and Molecular Engineering, Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration, East China Normal University, Shanghai 200241, China
| | - Weiwei Wu
- School of Advanced Materials and Nanotechnology, Interdisciplinary Research Center of Smart Sensors, Xidian University, Shaanxi 710126, P.R. China
| | - Marcis Leja
- Institute of Clinical and Preventive Medicine & Faculty of Medicine, University of Latvia, Riga LV-1004, Latvia.,Department of Research, Riga East University Hospital, Digestive Diseases Centre GASTRO, Riga 1586, Latvia
| | - Joachim A Behar
- The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering and Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Hossam Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa 3200003, Israel
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11
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Yang M, Shi L, Huang T, Li G, Shao H, Shen Y, Zhu J, Ni B. Value of contrast-enhanced magnetic resonance imaging-T2WI-based radiomic features in distinguishing lung adenocarcinoma from lung squamous cell carcinoma with solid components >8 mm. J Thorac Dis 2023; 15:635-648. [PMID: 36910079 PMCID: PMC9992614 DOI: 10.21037/jtd-23-142] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 02/16/2023] [Indexed: 03/05/2023]
Abstract
Background Radiomics is one of the research frontiers in the field of imaging and has excellent diagnostic performance. However, there is a lack of magnetic resonance imaging (MRI)-based omics studies on identifying pathological subtypes of lung cancer. Here we explored the value of the contrast-enhanced MRI-T2-weighted imaging (T2WI)-based radiomic analysis in distinguishing adenocarcinoma (Ade) from squamous cell carcinoma (Squ) with solid components >8 mm. Methods A retrospective analysis was performed of a total of 71 lung cancer patients who undergoing contrast-enhanced MRI and computed tomography (CT) before treatment, and the nodules had solid components ≥8 mm in our center from January 2020 to September 2021. All enrolled patients were divided into Squ and Ade groups according to the pathological results. In addition, the two groups were randomly divided into training set and validation set in a ratio of about 7:3. Radiomics software was used to extract the relevant radiomic features. The least absolute shrinkage and selection operator (Lasso) was used to screen radiomic features that were most relevant to lung cancer subtypes, thus calculating the radiomic scores (Rad-score) and constructing the radiomic models. Multivariate logistic regression was used to combine relevant clinical features with Rad-score to form combined model nomograms. The receiver operating characteristic (ROC) curves. the area under the ROC curve (AUC), the decision curve analysis (DCA) and the DeLong's test were used to evaluate the clinical application potentials. Results The sensitivity and specificity of the clinical model based on smoking was 75.0% and 93.8%. The AUC of the constructed magnetic resonance (MR)-Rad model for differentiating the pathological subtypes of lung cancer was 0.8651 in the validation sets. The AUC of the CT-Rad model in the validation set were 0.9286. The combined model constructed by combining clinical features and Rad-score had AUC of 0.8016, for identifying the 2 pathological subtypes of lung cancer in the validation set. There was no significant difference in diagnostic performance between MR-Rad model and CT-Rad model (P>0.05). Conclusions The MR-Rad model has a diagnostic performance similar to that of CT-Rad model, while the diagnostic performance of the combined mode was better than the single MR model.
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Affiliation(s)
- Maoyuan Yang
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Liang Shi
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Tianwei Huang
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Guangzheng Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hancheng Shao
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yijun Shen
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jun Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Bin Ni
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
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12
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Caputo V, Ciardiello F, Corte CMD, Martini G, Troiani T, Napolitano S. Diagnostic value of liquid biopsy in the era of precision medicine: 10 years of clinical evidence in cancer. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2023; 4:102-138. [PMID: 36937316 PMCID: PMC10017193 DOI: 10.37349/etat.2023.00125] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 11/13/2022] [Indexed: 03/06/2023] Open
Abstract
Liquid biopsy is a diagnostic repeatable test, which in last years has emerged as a powerful tool for profiling cancer genomes in real-time with minimal invasiveness and tailoring oncological decision-making. It analyzes different blood-circulating biomarkers and circulating tumor DNA (ctDNA) is the preferred one. Nevertheless, tissue biopsy remains the gold standard for molecular evaluation of solid tumors whereas liquid biopsy is a complementary tool in many different clinical settings, such as treatment selection, monitoring treatment response, cancer clonal evolution, prognostic evaluation, as well as the detection of early disease and minimal residual disease (MRD). A wide number of technologies have been developed with the aim of increasing their sensitivity and specificity with acceptable costs. Moreover, several preclinical and clinical studies have been conducted to better understand liquid biopsy clinical utility. Anyway, several issues are still a limitation of its use such as false positive and negative results, results interpretation, and standardization of the panel tests. Although there has been rapid development of the research in these fields and recent advances in the clinical setting, many clinical trials and studies are still needed to make liquid biopsy an instrument of clinical routine. This review provides an overview of the current and future clinical applications and opening questions of liquid biopsy in different oncological settings, with particular attention to ctDNA liquid biopsy.
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Affiliation(s)
- Vincenza Caputo
- Medical Oncology, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80131 Napoli, Italy
| | - Fortunato Ciardiello
- Medical Oncology, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80131 Napoli, Italy
| | - Carminia Maria Della Corte
- Medical Oncology, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80131 Napoli, Italy
| | - Giulia Martini
- Medical Oncology, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80131 Napoli, Italy
| | - Teresa Troiani
- Medical Oncology, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80131 Napoli, Italy
| | - Stefania Napolitano
- Medical Oncology, Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80131 Napoli, Italy
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13
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Expression of Epithelial and Mesenchymal Markers in Plasmatic Extracellular Vesicles as a Diagnostic Tool for Neoplastic Processes. Int J Mol Sci 2023; 24:ijms24043578. [PMID: 36834987 PMCID: PMC9964693 DOI: 10.3390/ijms24043578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023] Open
Abstract
Tumor-derived extracellular vesicles (TD-EVs) have active roles as cancer hallmark enablers. EVs RNA of epithelial and stromal cells carry information that facilitates the communication processes that contribute to oncological progression, so the objective of this work was to validate by RT-PCR the presence of epithelial (KRT19; CEA) and stromal (COL1A2; COL11A1) markers in RNA of plasmatic EVs in healthy and diverse-malignancy patients for the development of a non-invasive cancer diagnosis system using liquid biopsy. Ten asymptomatic controls and 20 cancer patients were included in the study, and results showed that the isolated plasmatic EVs by scanning transmission electron microscopy (STEM) andBiomedical Research Institute A Coruña nanoparticle tracking analysis (NTA) contained most exosome structures with also a considerable percentage of microvesicles. No differences were found in concentration and size distribution between the two cohorts of patients, but significant gene expression in epithelial and mesenchymal markers between healthy donors and patients with active oncological disease was shown. Results of quantitative RT-PCR are solid and reliable for KRT19, COL1A2, and COL11A1, so the analysis of RNA extracted from TD-EVs could be a correct approach to develop a diagnostic tool in oncological processes.
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14
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Zhai W, Chen S, Duan F, Wang J, Zhao Z, Lin Y, Rao B, Wang Y, Zheng L, Long H. Risk stratification and prognosis prediction based on inflammation-related gene signature in lung squamous carcinoma. Cancer Med 2023; 12:4968-4980. [PMID: 36056909 PMCID: PMC9972108 DOI: 10.1002/cam4.5190] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 07/21/2022] [Accepted: 08/15/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Inflammation is known to have an intricate relationship with tumorigenesis and tumor progression while it is also closely related to tumor immune microenvironment. Whereas the role of inflammation-related genes (IRGs) in lung squamous carcinoma (LUSC) is barely understood. Herein, we recognized IRGs associated with overall survival (OS), built an IRGs signature for risk stratification and explored the impact of IRGs on immune infiltration landscape of LUSC patients. METHODS The RNA-sequencing and clinicopathological data of LUSC patients were downloaded from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, which were defined as training and validation cohorts. Cox regression and least absolute shrinkage and selection operator analyses were performed to build an IRG signature. CIBERSORT, microenvironment cell populations-counter and tumor immune dysfunction and rejection (TIDE) algorithm were used to perform immune infiltration analysis. RESULTS A two-IRG signature consisting of KLF6 and SGMS2 was identified according to the training set, which could categorize patients into two different risk groups with distinct OS. Patients in the low-risk group had more anti-tumor immune cells infiltrated while patient with high-risk had lower TIDE score and higher levels of immune checkpoint molecules expressed. The IRG signature was further identified as an independent prognostic factor of OS. Subsequently, a prognostic nomogram including IRG signature, age, and cancer stage was constructed for predicting individualized OS, whose concordance index values were 0.610 (95% CI: 0.568-0.651) in the training set and 0.652 (95% CI: 0.580-0.724) in validation set. Time-dependent receiver operator characteristic curves revealed that the nomogram had higher prediction accuracy compared with the traditional tumor stage alone. CONCLUSION The IRG signature was a predictor for patients with LUSC and might serve as a potential indicator of the efficacy of immunotherapy. The nomogram based on the IRG signature showed a relatively good predictive performance in survival.
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Affiliation(s)
- Wenyu Zhai
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Si Chen
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Fangfang Duan
- Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China
| | - Junye Wang
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China
| | - Zerui Zhao
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Yaobin Lin
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Bingyu Rao
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Yizhi Wang
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Lie Zheng
- Medical Imaging Division, Department of Medical Imaging and Interventional Radiology, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China
| | - Hao Long
- Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in Southern China, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
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15
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Malta TM, Snyder J, Noushmehr H, Castro AV. Advances in Central Nervous System Tumor Classification. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1416:121-135. [PMID: 37432624 DOI: 10.1007/978-3-031-29750-2_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/12/2023]
Abstract
Historically, the classification of tumors of the central nervous system (CNS) relies on the histologic appearance of cells under a microscope; however, the molecular era of medicine has resulted in new diagnostic paradigms anchored in the intrinsic biology of disease. The 2021 World Health Organization (WHO) reformulated the classification of CNS tumors to incorporate molecular parameters, in addition to histology, to define many tumor types. A contemporary classification system with integrated molecular features aims to provide an unbiased tool to define tumor subtype, the risk of tumor progression, and even the response to certain therapeutic agents. Meningiomas are heterogeneous tumors as depicted by the current 15 distinct variants defined by histology in the 2021 WHO classification, which also incorporated the first moelcular critiera for meningioma grading: homozygous loss of CDKN2A/B and TERT promoter mutation as criteria for a WHO grade 3 meningioma. The proper classification and clinical management of meningioma patients requires a multidisciplinary approach, which in addition to the information on microscopic (histology) and macroscopic (Simpson grade and imaging), should also include molecular alterations. In this chapter, we present the most up-to-date knowledge in CNS tumor classification, particularly in meningioma, in the molecular era and how it could affect their future classification and clinical management of patients with these diseases.
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Affiliation(s)
- Tathiane M Malta
- School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, São Paulo, Brazil
| | - James Snyder
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA
| | - Houtan Noushmehr
- Department of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA.
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16
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Creighton CJ. Clinical proteomics towards multiomics in cancer. MASS SPECTROMETRY REVIEWS 2022:e21827. [PMID: 36495097 DOI: 10.1002/mas.21827] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Recent technological advancements in mass spectrometry (MS)-based proteomics technologies have accelerated its application to study greater and greater numbers of human tumor specimens. Over the last several years, the Clinical Proteomic Tumor Analysis Consortium, the International Cancer Proteogenome Consortium, and others have generated MS-based proteomic profiling data combined with corresponding multiomics data on thousands of human tumors to date. Proteomic data sets in the public domain can be re-examined by other researchers with different questions in mind from what the original studies explored. In this review, we examine the increasing role of proteomics in studying cancer, along with the potential for previous studies and their associated data sets to contribute to improving the diagnosis and treatment of cancer in the clinical setting. We also explore publicly available proteomics and multi-omics data from cancer cell line models to show how such data may aid in identifying therapeutic strategies for cancer subsets.
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Affiliation(s)
- Chad J Creighton
- Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
- Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
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17
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He T, Wu Z, Xia P, Wang W, Sun H, Yu L, Lv W, Hu J. The combination of a seven-autoantibody panel with computed tomography scanning can enhance the diagnostic efficiency of non-small cell lung cancer. Front Oncol 2022; 12:1047019. [DOI: 10.3389/fonc.2022.1047019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 11/04/2022] [Indexed: 12/05/2022] Open
Abstract
BackgroundNon-small cell lung cancer (NSCLC) is still of concern in differentiating it from benign disease. This study aims to validate the diagnostic efficacy of a novel seven-autoantibody (7-AAB) panel for the diagnosis of NSCLC.MethodsWe retrospectively enrolled 2650 patients who underwent both the 7-AAB panel test and CT scanning. We compared the sensitivity, specificity, and PPV of 7-AAB, CT, and PET-CT in the diagnosis of NSCLC in different subgroups. Then, we established a nomogram based on CT image features and the 7-AAB panel to further improve diagnostic efficiency. Moreover, we compared the pathological and molecular results of NSCLC patients in the 7-AABs positive group and the negative group to verify the prognostic value of the 7-AAB panel.ResultsThe strategy of a “both-positive rule” combination of 7-AABs and CT had a specificity of 95.4% and a positive predictive value (PPV) of 95.8%, significantly higher than those of CT or PET-CT used alone (P<0.05). The nomogram we established has passed the calibration test (P=0.987>0.05) with an AUC of 0.791. Interestingly, it was found that the 7-AABs positive group was associated with higher proportion of EGFR mutations (P<0.001), lower pathological differentiation degrees (P=0.018), more advanced pathological stages (P=0.040) and higher Ki-67 indexes (P=0.011) in patients with adenocarcinoma.ConclusionThis study shows that combination of a 7-AAB panel with CT has can significantly enhance the diagnostic efficiency of lung cancer. Moreover, the 7-AAB panel also has potential prognostic value and has reference significance for the formulation of the treatment plan.
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18
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Chen P, Liu Y, Wen Y, Zhou C. Non-small cell lung cancer in China. Cancer Commun (Lond) 2022; 42:937-970. [PMID: 36075878 PMCID: PMC9558689 DOI: 10.1002/cac2.12359] [Citation(s) in RCA: 153] [Impact Index Per Article: 76.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 07/21/2022] [Accepted: 08/24/2022] [Indexed: 04/08/2023] Open
Abstract
In China, lung cancer is a primary cancer type with high incidence and mortality. Risk factors for lung cancer include tobacco use, family history, radiation exposure, and the presence of chronic lung diseases. Most early-stage non-small cell lung cancer (NSCLC) patients miss the optimal timing for treatment due to the lack of clinical presentations. Population-based nationwide screening programs are of significant help in increasing the early detection and survival rates of NSCLC in China. The understanding of molecular carcinogenesis and the identification of oncogenic drivers dramatically facilitate the development of targeted therapy for NSCLC, thus prolonging survival in patients with positive drivers. In the exploration of immune escape mechanisms, programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1) inhibitor monotherapy and PD-1/PD-L1 inhibitor plus chemotherapy have become a standard of care for advanced NSCLC in China. In the Chinese Society of Clinical Oncology's guidelines for NSCLC, maintenance immunotherapy is recommended for locally advanced NSCLC after chemoradiotherapy. Adjuvant immunotherapy and neoadjuvant chemoimmunotherapy will be approved for resectable NSCLC. In this review, we summarized recent advances in NSCLC in China in terms of epidemiology, biology, molecular pathology, pathogenesis, screening, diagnosis, targeted therapy, and immunotherapy.
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Affiliation(s)
- Peixin Chen
- School of MedicineTongji UniversityShanghai200092P. R. China
- Department of Medical OncologyShanghai Pulmonary HospitalSchool of MedicineTongji UniversityShanghai200433P. R. China
| | - Yunhuan Liu
- Department of Respiratory and Critical Care MedicineHuadong HospitalFudan UniversityShanghai200040P. R. China
| | - Yaokai Wen
- School of MedicineTongji UniversityShanghai200092P. R. China
- Department of Medical OncologyShanghai Pulmonary HospitalSchool of MedicineTongji UniversityShanghai200433P. R. China
| | - Caicun Zhou
- School of MedicineTongji UniversityShanghai200092P. R. China
- Department of Medical OncologyShanghai Pulmonary HospitalSchool of MedicineTongji UniversityShanghai200433P. R. China
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19
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Transcriptome Analysis of Human Endogenous Retroviruses at Locus-Specific Resolution in Non-Small Cell Lung Cancer. Cancers (Basel) 2022; 14:cancers14184433. [PMID: 36139593 PMCID: PMC9497127 DOI: 10.3390/cancers14184433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/28/2022] [Accepted: 09/10/2022] [Indexed: 11/16/2022] Open
Abstract
Lung cancer is the second most commonly diagnosed cancer and the leading cause of cancer deaths worldwide. Among its subtypes, lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) are the most common, accounting for more than 85% of lung cancer diagnoses. Despite the incredible efforts and recent advances in lung cancer treatments, patients affected by this condition still have a poor prognosis. Therefore, novel diagnostic biomarkers are needed. Recently, a class of transposable elements called human endogenous retroviruses (HERVs) has been found to be implicated in cancer development and later employed as novel biomarkers for several tumor types. In this study, we first ever characterized the expression of HERVs at genomic locus-specific resolution in both LUAD and LUSC cohorts available in The Cancer Genome Atlas (TCGA). Precisely, (i) we profiled the expression of HERVs in TCGA-LUAD and TCGA-LUSC cohorts; (ii) we identified the dysregulated HERVs in both lung cancer subtypes; (iii) we evaluated the impact of the dysregulated HERVs on signaling pathways using neural network-based predictions; and (iv) we assessed their association with overall survival (OS) and relapse-free survival (RFS). In conclusion, we believe this study may help elucidate another layer of dysregulation that occurs in lung cancer involving HERVs, paving the way for identifying novel lung cancer biomarkers.
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20
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Venkataram R, Shetty V, Prasad K, Kille S, Srinivas T, Chakraborty A. Detection of clinically-relevant <em>EGFR</em> variations in <em>de novo</em> small cell lung carcinoma by droplet digital PCR. Monaldi Arch Chest Dis 2022; 93. [PMID: 36062504 DOI: 10.4081/monaldi.2022.2280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 08/02/2022] [Indexed: 11/23/2022] Open
Abstract
Targeted therapy that utilizes tyrosine kinase inhibitors (TKIs), specific to epidermal growth factor receptors (EGFR) has changed the landscape of treatment of non-small cell lung cancer (NSCLC). The success or failure of this approach depends on presence of certain variations in the tyrosine kinase domain of EGFR gene. Generally, patients diagnosed with Small cell lung cancer (SCLC) are considered ineligible for TKI therapy owing to the absence of EGFR variations. . However, there is evidence of these variations being detected in SCLCs, both in de-novo and in transformed SCLCs (TKI-treated adenocarcinomas). Despite the presence of clinically-relevant EGFR variations in SCLCs, the response to TKIs has been inconsistent. Liquid biopsy is a well-established approach in lung cancer management with proven diagnostic, prognostic and predictive applications. It relies on detection of circulating tumor-derived nucleic acids present in plasma of the patient. In this study, a liquid biopsy approach was utilized to screen 118 consecutive lung cancer patients for four clinically-relevant variations in EGFR gene, which included three activating/sensitizing variations (Ex18 G719S, Ex19del E746-A750 and Ex21 L858R) and one acquired/resistance (Ex20 T790M, de novo) variation by droplet digital PCR, the most advanced third generation PCR technique. As expected, clinically-relevant EGFR variations were found in majority of the non-small cell lung cancer cases. However, among the handful of small cell lung cancer samples screened, sensitizing variations (Ex18 G719S and Ex21 L858R) were seen in almost all of them. Interestingly, Ex20 T790M variation was not detected in any of the cases screened. The results of our study indicate that EGFR variations are present in SCLCs and highly sensitive liquid biopsy techniques like ddPCR can be effectively utilized for this purpose of screening EGFR variations in such samples.
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Affiliation(s)
- Rajesh Venkataram
- Department of Pulmonary Medicine, KS Hegde Medical Academy, Nitte (Deemed to Be University), Mangalore.
| | - Vijith Shetty
- Department of Medical Oncology, KS Hegde Medical Academy, Nitte (Deemed to Be University), Mangalore.
| | - Kishan Prasad
- Department of Pathology, KS Hegde Medical Academy, Nitte (Deemed to Be University), Mangalore.
| | - Sonam Kille
- Division of Molecular Genetics and Cancer, Nitte University Centre for Science Education and Research, Nitte (Deemed to Be University), Mangalore.
| | - Teerthanath Srinivas
- Department of Pathology, KS Hegde Medical Academy, Nitte (Deemed to Be University), Mangalore.
| | - Anirban Chakraborty
- Dean Faculty of Biological Sciences, Division of Molecular Genetics and Cancer, Nitte University Centre for Science Education and Research (NUCSER), Nitte (Deemed to Be University), Mangalore.
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21
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Ren Y, Cao L, You M, Ji J, Gong Y, Ren H, Xu F, Guo H, Hu J, Li Z. “SMART” digital nucleic acid amplification technologies for lung cancer monitoring from early to advanced stages. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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22
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Padinharayil H, Varghese J, John MC, Rajanikant GK, Wilson CM, Al-Yozbaki M, Renu K, Dewanjee S, Sanyal R, Dey A, Mukherjee AG, Wanjari UR, Gopalakrishnan AV, George A. Non-small cell lung carcinoma (NSCLC): Implications on molecular pathology and advances in early diagnostics and therapeutics. Genes Dis 2022. [DOI: 10.1016/j.gendis.2022.07.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
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23
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Alen BO, Estévez-Pérez LS, Hermida-Romero MT, Reguera-Arias A, García-Campelo R, de la Torre-Bravos M, Concha Á. Molecular Targets in Lung Cancer: Study of the Evolution of Biomarkers Associated with Treatment with Tyrosine Kinase Inhibitors—Has NF1 Tumor Suppressor a Key Role in Acquired Resistance? Cancers (Basel) 2022; 14:cancers14143323. [PMID: 35884384 PMCID: PMC9313361 DOI: 10.3390/cancers14143323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Resistance to tyrosine kinase inhibitors in patients with EGFR-mutated non-small cell lung cancer is crucial in the development of the disease. Detecting the mechanisms of this resistance is fundamental in lung cancer research, so we evaluated the presence of EGFR mutations in circulating free DNA in plasma of patients with NSCLC under oncological treatment. We studied the role of EGFR and other driver mutations in their involvement in acquired resistance to treatment with EGFR-TKIs and we analyzed the role of liquid biopsy as a non-invasive diagnostic method. Our results showed that liquid biopsy is a very useful tool monitoring the evolution of the disease and the resistance to TKIs. The detection of other concomitant mutations in driver genes is also key in this regard, so we found that alterations in the NFI tumor suppressor gene could be playing a role in disease progression and resistance to targeted therapies. Abstract The application to clinical practice of liquid biopsy in patients with lung cancer has led to an advance in the diagnosis and monitoring of the disease. Detection of alterations in EGFR genes related to TKI treatment in EGFR-mutated non-small cell lung cancer patients is a routine method in pathology laboratories. The primary objective of this work was to analyze the presence of EGFR mutations in cfDNA of 86 patients with lung cancer undergoing oncological treatment related to response to treatment with TKIs. Secondarily, we evaluated the dynamics of EGFR mutations, the presence of the T790M alteration and its relationship with drug resistance and analyzed by NGS molecular alterations in cfDNA of patients with discordant progression. Our results demonstrate that understanding the mutational status of patients treated with TKIs over time is essential to monitor disease progression. In this context, liquid biopsy is a fundamental key. In addition, it is not only necessary to detect EGFR mutations, but also other concomitant mutations that would be influencing the development of the disease. In this sense, we have discovered that mutations in the NF1 tumor suppressor gene could be exerting an as yet unknown function in lung cancer.
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Affiliation(s)
- Begoña O. Alen
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
- Molecular Biology Area, Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain
- Correspondence: (B.O.A.); (L.S.E.-P.); Tel.: +34-981-178-000 (B.O.A.); +34-981-178-000 (L.S.E.-P.)
| | - Lara S. Estévez-Pérez
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
- Molecular Biology Area, Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain
- Correspondence: (B.O.A.); (L.S.E.-P.); Tel.: +34-981-178-000 (B.O.A.); +34-981-178-000 (L.S.E.-P.)
| | - María Teresa Hermida-Romero
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
| | - Ana Reguera-Arias
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
| | | | | | - Ángel Concha
- Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain; (M.T.H.-R.); (A.R.-A.); (Á.C.)
- Molecular Biology Area, Department of Anatomical Pathology, University Hospital Complex A Coruña, 15006 A Coruña, Spain
- Biobank of A Coruña, Instituto de Investigación Biomédica A Coruña (INIBIC), 15006 A Coruña, Spain
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Bai S, Wang Z, Wang M, Li J, Wei Y, Xu R, Du J. Tumor-Derived Exosomes Modulate Primary Site Tumor Metastasis. Front Cell Dev Biol 2022; 10:752818. [PMID: 35309949 PMCID: PMC8924426 DOI: 10.3389/fcell.2022.752818] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 02/10/2022] [Indexed: 12/12/2022] Open
Abstract
Tumor-derived exosomes (TDEs) are actively produced and released by tumor cells and carry messages from tumor cells to healthy cells or abnormal cells, and they participate in tumor metastasis. In this review, we explore the underlying mechanism of action of TDEs in tumor metastasis. TDEs transport tumor-derived proteins and non-coding RNA to tumor cells and promote migration. Transport to normal cells, such as vascular endothelial cells and immune cells, promotes angiogenesis, inhibits immune cell activation, and improves chances of tumor implantation. Thus, TDEs contribute to tumor metastasis. We summarize the function of TDEs and their components in tumor metastasis and illuminate shortcomings for advancing research on TDEs in tumor metastasis.
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Affiliation(s)
- Suwen Bai
- Longgang District People´s Hospital of Shenzhen, The Second Affiliated Hospital of The Chinese University of Hong Kong, Shenzhen, China.,School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Zunyun Wang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Minghua Wang
- Longgang District People´s Hospital of Shenzhen, The Second Affiliated Hospital of The Chinese University of Hong Kong, Shenzhen, China
| | - Junai Li
- Longgang District People´s Hospital of Shenzhen, The Second Affiliated Hospital of The Chinese University of Hong Kong, Shenzhen, China
| | - Yuan Wei
- Longgang District People´s Hospital of Shenzhen, The Second Affiliated Hospital of The Chinese University of Hong Kong, Shenzhen, China
| | - Ruihuan Xu
- Longgang District People´s Hospital of Shenzhen, The Second Affiliated Hospital of The Chinese University of Hong Kong, Shenzhen, China
| | - Juan Du
- Longgang District People´s Hospital of Shenzhen, The Second Affiliated Hospital of The Chinese University of Hong Kong, Shenzhen, China
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25
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Zhai WY, Duan FF, Chen S, Wang JY, Zhao ZR, Wang YZ, Rao BY, Lin YB, Long H. An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Squamous Carcinoma. Front Cell Dev Biol 2022; 10:770550. [PMID: 35300428 PMCID: PMC8921527 DOI: 10.3389/fcell.2022.770550] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 02/04/2022] [Indexed: 12/29/2022] Open
Abstract
Aging is an inevitable process characterized by a decline in many physiological activities, and has been known as a significant risk factor for many kinds of malignancies, but there are few studies about aging-related genes (ARGs) in lung squamous carcinoma (LUSC). We designed this study to explore the prognostic value of ARGs and establish an ARG-based prognosis signature for LUSC patients. RNA-sequencing and corresponding clinicopathological data of patients with LUSC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The ARG risk signature was developed on the basis of results of LASSO and multivariate Cox analysis in the TCGA training dataset (n = 492). Furthermore, the GSE73403 dataset (n = 69) validated the prognostic performance of this ARG signature. Immunohistochemistry (IHC) staining was used to verify the expression of the ARGs in the signature. A five ARG-based signature, including A2M, CHEK2, ELN, FOS, and PLAU, was constructed in the TCGA dataset, and stratified patients into low- and high-risk groups with significantly different overall survival (OS) rates. The ARG risk score remained to be considered as an independent indicator of OS in the multivariate Cox regression model for LUSC patients. Then, a prognostic nomogram incorporating the ARG risk score with T-, N-, and M-classification was established. It achieved a good discriminative ability with a C-index of 0.628 (95% confidence interval [CI]: 0.586-0.671) in the TCGA cohort and 0.648 (95% CI: 0.535-0.762) in the GSE73403 dataset. Calibration curves displayed excellent agreement between the actual observations and the nomogram-predicted survival. The IHC staining discovered that these five ARGs were overexpression in LUSC tissues. Besides, the immune infiltration analysis in the TCGA cohort represented a distinctly differentiated infiltration of anti-tumor immune cells between the low- and high-risk groups. We identified a novel ARG-related prognostic signature, which may serve as a potential biomarker for individualized survival predictions and personalized therapeutic recommendation of anti-tumor immunity for patients with LUSC.
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Affiliation(s)
- Wen-Yu Zhai
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Fang-Fang Duan
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Si Chen
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Jun-Ye Wang
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Ze-Rui Zhao
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Yi-Zhi Wang
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Bing-Yu Rao
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Yao-Bin Lin
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
| | - Hao Long
- State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China.,Lung Cancer Research Center, Sun Yat-Sen University, Guangzhou, China
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26
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Yang C, Guo X, Li J, Han J, Jia L, Wen HL, Sun C, Wang X, Zhang B, Li J, Chi Y, An T, Wang Y, Wang Z, Li H, Li L. Significant Upregulation of HERV-K (HML-2) Transcription Levels in Human Lung Cancer and Cancer Cells. Front Microbiol 2022; 13:850444. [PMID: 35359739 PMCID: PMC8960717 DOI: 10.3389/fmicb.2022.850444] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 02/15/2022] [Indexed: 12/14/2022] Open
Abstract
Lung cancer is the second most common cancer worldwide and the leading cause of cancer death in the world. Therefore, there is an urgent need to develop new and effective biomarkers for diagnosis and treatment. Under this circumstance, human endogenous retroviruses (HERVs) were recently introduced as novel biomarkers for cancer diagnosis. This study focused on the correlation between lung cancer and HERV-K (HML-2) transcription levels. At the cellular level, different types of lung cancer cells and human normal lung epithelial cells were used to analyze the transcription levels of the HERV-K (HML-2) gag, pol, and env genes by RT–qPCR. At the level of lung cancer patients, blood samples with background information from 734 lung cancer patients and 96 healthy persons were collected to analyze the transcription levels of HERV-K (HML-2) gag, pol, and env genes. The results showed that the transcriptional levels of the HERV-K (HML-2) gag, pol, and env genes in lung cancer cells and lung cancer patient blood samples were significantly higher than those in the healthy controls, which was also verified by RNAScope ISH technology. In addition, we also found that there was a correlation between the abnormal transcription levels of HERV-K (HML-2) genes in lung cancer patients and the clinicopathological parameters of lung cancer. We also identified the distribution locations of the gag, pol, and env primer sequences on each chromosome and analyzed the function of these loci. In conclusion, HERV-K (HML-2) genes may be a potential biomarker for the diagnosis of lung cancer.
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Affiliation(s)
- Caiqin Yang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Xin Guo
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jianjie Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Jingwan Han
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Lei Jia
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Hong-Ling Wen
- Key Laboratory for the Prevention and Control of Infectious Diseases, Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chengxi Sun
- Department of Clinical Laboratory, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaolin Wang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Bohan Zhang
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Jingyun Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
| | - Yujia Chi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Tongtong An
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yuyan Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
| | - Ziping Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Thoracic Medical Oncology, Peking University Cancer Hospital & Institute, Beijing, China
- *Correspondence: Ziping Wang,
| | - Hanping Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
- Hanping Li,
| | - Lin Li
- Department of Virology, State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, AMMS, Beijing, China
- Lin Li,
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Abstract
This overview of the molecular pathology of lung cancer includes a review of the most salient molecular alterations of the genome, transcriptome, and the epigenome. The insights provided by the growing use of next-generation sequencing (NGS) in lung cancer will be discussed, and interrelated concepts such as intertumor heterogeneity, intratumor heterogeneity, tumor mutational burden, and the advent of liquid biopsy will be explored. Moreover, this work describes how the evolving field of molecular pathology refines the understanding of different histologic phenotypes of non-small-cell lung cancer (NSCLC) and the underlying biology of small-cell lung cancer. This review will provide an appreciation for how ongoing scientific findings and technologic advances in molecular pathology are crucial for development of biomarkers, therapeutic agents, clinical trials, and ultimately improved patient care.
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Affiliation(s)
- James J Saller
- Departments of Pathology and Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612, USA
| | - Theresa A Boyle
- Departments of Pathology and Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida 33612, USA
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28
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Herath S, Sadeghi Rad H, Radfar P, Ladwa R, Warkiani M, O’Byrne K, Kulasinghe A. The Role of Circulating Biomarkers in Lung Cancer. Front Oncol 2022; 11:801269. [PMID: 35127511 PMCID: PMC8813755 DOI: 10.3389/fonc.2021.801269] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/21/2021] [Indexed: 12/12/2022] Open
Abstract
Lung cancer is the leading cause of cancer morbidity and mortality worldwide and early diagnosis is crucial for the management and treatment of this disease. Non-invasive means of determining tumour information is an appealing diagnostic approach for lung cancers as often accessing and removing tumour tissue can be a limiting factor. In recent years, liquid biopsies have been developed to explore potential circulating tumour biomarkers which are considered reliable surrogates for understanding tumour biology in a non-invasive manner. Most common components assessed in liquid biopsy include circulating tumour cells (CTCs), cell-free DNA (cfDNA), circulating tumour DNA (ctDNA), microRNA and exosomes. This review explores the clinical use of circulating tumour biomarkers found in liquid biopsy for screening, early diagnosis and prognostication of lung cancer patients.
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Alanazi L, Alqahtani RN, Masud N, Zuraie MM, Bin Afif AA, Alanazi SH. The Role of Tissue and Liquid Biopsy in the Clinical Management of Adult Lung Cancer Patients in King Abdul-Aziz Medical City in Riyadh, Saudi Arabia. Cureus 2022; 14:e20914. [PMID: 35004079 PMCID: PMC8724526 DOI: 10.7759/cureus.20914] [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] [Accepted: 01/03/2022] [Indexed: 11/05/2022] Open
Abstract
Background Lung cancer is the most fatal malignancy worldwide, characterized by uncontrolled growth in the tissue of the lung(s). The diagnosis of lung cancer depends on the medical history of the patient, along with the physical examination, and various imaging studies. Furthermore, sputum cytology, thoracentesis, or a tissue and liquid biopsy can be examined. The TNM (tumor size, lymph nodes, and metastasis) system is used for staging and grading lung cancer. This study aimed to evaluate the role of tissue vs liquid biopsy in the clinical management of adenocarcinoma, at King Abdulaziz Medical City, Riyadh. Methods In this cross-sectional study, all adenocarcinoma patients treated between January 2016 to December 2018 were included using consecutive sampling. The participants were ≥ 18 years old patients with histologically confirmed adenocarcinoma (stage IIIb/IV) regardless of the mutation status. This data was collected through chart review. Data analysis was performed using the IBM Statistical Software for Social Sciences (SPSS) software, version 22 (IBM SPSS Statistics for Windows, Armonk, NY). Results A total of 58 participants were included in the analysis. All of them had undergone a tissue biopsy, while only 16 patients underwent liquid biopsy. Out of all patients, 26% of patients had tissue biopsy-related complications (TBRC), with pneumothorax being the most common complication. Single gene testing for epidermal growth factor receptor (EGFR) for patients who underwent tissue biopsy showed a 35% mutation rate. For the anaplastic lymphoma kinase (ALK) gene, 13% were found to be mutated; for the ROS proto-oncogene 1 (ROS1) gene, only 7% were seen to be mutated. For a panel of 12 genes, 25% had the tumor protein 53 (TP53) gene mutation and 39% had the gene Kirsten rat sarcoma viral oncogene homolog (KRAS) mutations. For patients who underwent a liquid biopsy, 20% had the TP53 mutation, 43% had the EGFR mutations on a single gene test and 42% on a panel test, and 10% had the KRAS mutation. Conclusion We found that tissue and liquid biopsy showed genetic mutations, particularly with EGFR, TP53, and KRAS genes, among adenocarcinoma patients. Identifying genetic changes in adenocarcinoma patients is essential for charting a targeted therapy. Primary EGFR mutations and rearrangements of ALK or ROS1 are the only gene mutations that can be done with specific tyrosine kinase inhibitors available for clinical practice. Therefore, we recommend further studies to evaluate the role of tissue and liquid biopsy in clinical practice.
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Affiliation(s)
- Lafi Alanazi
- Internal Medicine, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
- Research, King Abdullah International Medical Research Center, Riyadh, SAU
| | - Ryan N Alqahtani
- Internal Medicine, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
- Research, King Abdullah International Medical Research Center, Riyadh, SAU
| | - Nazish Masud
- Research Unit, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
- Research, King Abdullah International Medical Research Center, Riyadh, SAU
| | - Meshal M Zuraie
- Internal Medicine, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
- Research, King Abdullah International Medical Research Center, Riyadh, SAU
| | - Abdulrahman A Bin Afif
- Internal Medicine, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
- Research, King Abdullah International Medical Research Center, Riyadh, SAU
| | - Sulaiman H Alanazi
- Internal Medicine, College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
- Research, King Abdullah International Medical Research Center, Riyadh, SAU
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30
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Pathak N, Chitikela S, Malik PS. Recent advances in lung cancer genomics: Application in targeted therapy. ADVANCES IN GENETICS 2021; 108:201-275. [PMID: 34844713 DOI: 10.1016/bs.adgen.2021.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Genomic characterization of lung cancer has not only improved our understanding of disease biology and carcinogenesis but also revealed several therapeutic opportunities. Targeting tumor dependencies on specific genomic alterations (oncogene addiction) has accelerated the therapeutic developments and significantly improved the outcomes even in advanced stage of disease. Identification of genomic alterations predicting response to specific targeted treatment is the key to success for this "personalized treatment" approach. Availability of multiple choices of therapeutic options for specific genomic alterations highlight the importance of optimum sequencing of drugs. Multiplex gene testing has become mandatory in view of constantly increasing number of therapeutic targets and effective treatment options. Influence of genomic characteristics on response to immunotherapy further makes comprehensive genomic profiling necessary before therapeutic decision making. A comprehensive elucidation of resistance mechanisms and directed treatments have made the continuum of care possible and transformed this deadly disease into a chronic condition. Liquid biopsy-based approach has made the dynamic monitoring of disease possible and enabled treatment optimizations accordingly. Current lung cancer management is the perfect example of "precision-medicine" in clinical oncology.
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Affiliation(s)
- Neha Pathak
- Department of Medical Oncology, Dr. B.R.A.I.R.C.H., All India Institute of Medical Sciences, New Delhi, India
| | - Sindhura Chitikela
- Department of Medical Oncology, Dr. B.R.A.I.R.C.H., All India Institute of Medical Sciences, New Delhi, India
| | - Prabhat Singh Malik
- Department of Medical Oncology, Dr. B.R.A.I.R.C.H., All India Institute of Medical Sciences, New Delhi, India.
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31
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Cavallaro S, Hååg P, Sahu SS, Berisha L, Kaminskyy VO, Ekman S, Lewensohn R, Linnros J, Viktorsson K, Dev A. Multiplexed electrokinetic sensor for detection and therapy monitoring of extracellular vesicles from liquid biopsies of non-small-cell lung cancer patients. Biosens Bioelectron 2021; 193:113568. [PMID: 34428672 DOI: 10.1016/j.bios.2021.113568] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Revised: 08/09/2021] [Accepted: 08/15/2021] [Indexed: 12/20/2022]
Abstract
Liquid biopsies based on extracellular vesicles (EVs) represent a promising tool for treatment monitoring of tumors, including non-small-cell lung cancers (NSCLC). In this study, we report on a multiplexed electrokinetic sensor for surface protein profiling of EVs from clinical samples. The method detects the difference in the streaming current generated by EV binding to the surface of a functionalized microcapillary, thereby estimating the expression level of a marker. Using multiple microchannels functionalized with different antibodies in a parallel fluidic connection, we first demonstrate the capacity for simultaneous detection of multiple surface markers in small EVs (sEVs) from NSCLC cells. To investigate the prospects of liquid biopsies based on EVs, we then apply the method to profile sEVs isolated from the pleural effusion (PE) fluids of five NSCLC patients with different genomic alterations (ALK, KRAS or EGFR) and applied treatments (chemotherapy, EGFR- or ALK-tyrosine kinase inhibitors). The vesicles were targeted against CD9, as well as EGFR and PD-L1, two treatment targets in NSCLC. The electrokinetic signals show detection of these markers on sEVs, highlighting distinct interpatient differences, e.g., increased EGFR levels in sEVs from a patient with EGFR mutation as compared to an ALK-fusion one. The sensors also detect differences in PD-L1 expressions. The analysis of sEVs from a patient prior and post ALK-TKI crizotinib treatment reveals significant increases in the expressions of some markers (EGFR and PD-L1). These results hold promise for the application of the method for tumor treatment monitoring based on sEVs from patient liquid biopsies.
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Affiliation(s)
- Sara Cavallaro
- Department of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691, Stockholm, Sweden.
| | - Petra Hååg
- Department of Oncology/Pathology, Karolinska Institutet, 17164, Stockholm, Sweden
| | - Siddharth S Sahu
- Department of Electrical Engineering, The Ångström Laboratory, Uppsala University, 75121, Uppsala, Sweden
| | | | - Vitaliy O Kaminskyy
- Department of Oncology/Pathology, Karolinska Institutet, 17164, Stockholm, Sweden
| | - Simon Ekman
- Department of Oncology/Pathology, Karolinska Institutet, 17164, Stockholm, Sweden; Theme Cancer, Patient Area Head and Neck, Lung, and Skin, Karolinska University Hospital, 17164, Solna, Sweden
| | - Rolf Lewensohn
- Department of Oncology/Pathology, Karolinska Institutet, 17164, Stockholm, Sweden; Theme Cancer, Patient Area Head and Neck, Lung, and Skin, Karolinska University Hospital, 17164, Solna, Sweden
| | - Jan Linnros
- Department of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691, Stockholm, Sweden
| | - Kristina Viktorsson
- Department of Oncology/Pathology, Karolinska Institutet, 17164, Stockholm, Sweden
| | - Apurba Dev
- Department of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691, Stockholm, Sweden; Department of Electrical Engineering, The Ångström Laboratory, Uppsala University, 75121, Uppsala, Sweden.
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Varkey J, Nicolaides T. Tumor-Educated Platelets: A Review of Current and Potential Applications in Solid Tumors. Cureus 2021; 13:e19189. [PMID: 34873529 PMCID: PMC8635758 DOI: 10.7759/cureus.19189] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/01/2021] [Indexed: 12/30/2022] Open
Abstract
In this current era of precision medicine, liquid biopsy poses a unique opportunity for an easily accessible, comprehensive molecular profile that would allow for the identification of therapeutic targets and sequential monitoring. Solid tumors are definitively diagnosed by analyzing primary tumor tissue, but surgical sampling is not always sufficient to generate a comprehensive genetic fingerprint at the time of diagnosis, or an appropriate means for continued monitoring. Platelets are known to have a dynamic, bidirectional relationship with tumors, acting beyond their role of hemostasis. Tumor-educated platelets (TEP) are modified by the tumor in multiple ways and act as a carrier and protector of metastasis. Data so far have shown that the mRNA in TEP can be harnessed for cancer diagnostics, with many potential applications.
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Affiliation(s)
- Joyce Varkey
- Pediatric Hematology Oncology, New York University Langone, New York, USA
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33
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Sahu SS, Cavallaro S, Hååg P, Nagy Á, Karlström AE, Lewensohn R, Viktorsson K, Linnros J, Dev A. Exploiting Electrostatic Interaction for Highly Sensitive Detection of Tumor-Derived Extracellular Vesicles by an Electrokinetic Sensor. ACS APPLIED MATERIALS & INTERFACES 2021; 13:42513-42521. [PMID: 34473477 PMCID: PMC8447189 DOI: 10.1021/acsami.1c13192] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
We present an approach to improve the detection sensitivity of a streaming current-based biosensor for membrane protein profiling of small extracellular vesicles (sEVs). The experimental approach, supported by theoretical investigation, exploits electrostatic charge contrast between the sensor surface and target analytes to enhance the detection sensitivity. We first demonstrate the feasibility of the approach using different chemical functionalization schemes to modulate the zeta potential of the sensor surface in a range -16.0 to -32.8 mV. Thereafter, we examine the sensitivity of the sensor surface across this range of zeta potential to determine the optimal functionalization scheme. The limit of detection (LOD) varied by 2 orders of magnitude across this range, reaching a value of 4.9 × 106 particles/mL for the best performing surface for CD9. We then used the optimized surface to profile CD9, EGFR, and PD-L1 surface proteins of sEVs derived from non-small cell lung cancer (NSCLC) cell-line H1975, before and after treatment with EGFR tyrosine kinase inhibitors, as well as sEVs derived from pleural effusion fluid of NSCLC adenocarcinoma patients. Our results show the feasibility to monitor CD9, EGFR, and PD-L1 expression on the sEV surface, illustrating a good prospect of the method for clinical application.
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Affiliation(s)
- Siddharth Sourabh Sahu
- Department
of Electrical Engineering, The Ångström Laboratory, Uppsala University, 75121 Uppsala, Sweden
| | - Sara Cavallaro
- Department
of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691 Stockholm, Sweden
| | - Petra Hååg
- Department
of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden
| | - Ábel Nagy
- Department
of Protein Science, School of Chemistry, Biotechnology, and Health
(CBH), KTH Royal Institute of Technology, 10691 Stockholm, Sweden
| | - Amelie Eriksson Karlström
- Department
of Protein Science, School of Chemistry, Biotechnology, and Health
(CBH), KTH Royal Institute of Technology, 10691 Stockholm, Sweden
| | - Rolf Lewensohn
- Department
of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden
- Theme
Cancer, Patient Area Head and Neck, Lung, and Skin, Karolinska University Hospital, 17164 Solna, Sweden
| | - Kristina Viktorsson
- Department
of Oncology-Pathology, Karolinska Institutet, 17164 Stockholm, Sweden
| | - Jan Linnros
- Department
of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691 Stockholm, Sweden
| | - Apurba Dev
- Department
of Electrical Engineering, The Ångström Laboratory, Uppsala University, 75121 Uppsala, Sweden
- Department
of Applied Physics, School of Engineering Sciences, KTH Royal Institute of Technology, 10691 Stockholm, Sweden
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34
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Zeng D, Wang C, Mu C, Su M, Mao J, Huang J, Xu J, Shao L, Li B, Li H, Li B, Zhao J, Jiang J. Cell-free DNA from bronchoalveolar lavage fluid (BALF): a new liquid biopsy medium for identifying lung cancer. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1080. [PMID: 34422992 PMCID: PMC8339831 DOI: 10.21037/atm-21-2579] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 06/21/2021] [Indexed: 12/18/2022]
Abstract
Background Differentiating malignant lung tumors from benign pulmonary nodules is a great challenge. While the analysis of bronchoalveolar lavage fluid (BALF) is used for diagnosing infections and interstitial lung diseases, there is limited evidence to support its use for lung cancer diagnosis. This study aimed to interrogate the potential of using BALF cell-free DNA (cfDNA) to discriminate malignant lesions from benign nodules. Methods Fifty-three patients with solid pulmonary nodules (≤2 cm) were prospectively enrolled, including 21 confirmed with benign disease and 32 with malignant tumors. Mutations were profiled for 30 tumor tissues and 40 BALFs. Paired BALFs and plasma from 48 patients underwent DNA methylation profiling. A methylome-based classification model was developed for BALF and plasma separately. Results Among the 30 patients with paired tissues and BALFs, 96.7% and 70% had alterations detected from their tissues (79 alterations) and BALFs (53 alterations), respectively. Using tissues as references, BALFs revealed 14 new alterations and missed 41. BALF mutation displayed a sensitivity of 71%, specificity of 77.8%, and accuracy of 72.5% in detecting lung cancer. BALF methylation achieved an accuracy of 81.3%, with both sensitivity and specificity being 81%. Plasma methylation showed a 66.7% sensitivity, 71.4% specificity, and 68.8% accuracy. BALF methylation also demonstrated 82.4% sensitivity in stage I patients. Parallel bronchoscopy, lavage cytology, and bronchial brushing demonstrated an inferior sensitivity of 23%, 3.1%, and 9.7%, respectively, compared with BALF methylation and mutation (P<0.0001). Conclusions BALF cfDNA can serve as a liquid biopsy media for both mutation and methylation profiling, demonstrating better sensitivities in distinguishing small malignant tumors from benign nodules than conventional methods. Keywords Lung cancer diagnosis; pulmonary nodule; bronchoalveolar lavage fluid (BALF); methylation; genomic mutation
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Affiliation(s)
- Daxiong Zeng
- Department of Respiratory Medicine, Dusu Lake Hospital to Soochow University, Suzhou, China.,Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Cangguo Wang
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Chuanyong Mu
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Meiqin Su
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jingyu Mao
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jianan Huang
- Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jiayue Xu
- Burning Rock Biotech, Guangzhou, China
| | - Lin Shao
- Burning Rock Biotech, Guangzhou, China
| | - Bing Li
- Burning Rock Biotech, Guangzhou, China
| | - Haiyan Li
- Burning Rock Biotech, Guangzhou, China
| | - Bingsi Li
- Burning Rock Biotech, Guangzhou, China
| | - Jun Zhao
- Department of Thoracic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Junhong Jiang
- Department of Respiratory Medicine, Dusu Lake Hospital to Soochow University, Suzhou, China.,Department of Respiratory Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
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35
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Wadowska K, Błasiak P, Rzechonek A, Bil-Lula I, Śliwińska-Mossoń M. New Insights on Old Biomarkers Involved in Tumor Microenvironment Changes and Their Diagnostic Relevance in Non-Small Cell Lung Carcinoma. Biomolecules 2021; 11:1208. [PMID: 34439874 PMCID: PMC8391392 DOI: 10.3390/biom11081208] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/03/2021] [Accepted: 08/10/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Lung cancer is a multifactorial disease with a heterogeneous tumor group that hampers diagnostic and therapeutic approaches, as well as understanding of the processes that underlie its pathogenesis. Current research efforts are focused on examining alterations in the tumor microenvironment, which may affect the pathogenesis and further malignant progression in lung cancer. The aim of this study was to investigate changes in the levels of biomarkers involved in the lung tumor microenvironment and their diagnostic utility in differentiating lung cancer subtypes and stages. METHODS This study comprised 112 lung cancer patients, 50 with adenocarcinoma, 35 with squamous cell carcinoma, 13 with other non-small cell lung carcinoma subtypes, and 14 with other lung neoplasms than non-small cell lung carcinoma. Tumor markers (CEA, CYFRA 21-1, and NSE) were measured in the patients' sera and plasmas, along with IL-6, TNF-α, SAA1, CRP, MMP-2, MMP-9, glucose, lactate, and LDH, utilizing enzyme-linked immunosorbent assays, enzyme immunoassays, and automated clinical chemistry and turbidimetry systems. The results were statistically analyzed across patient groups based on the subtype and stage of lung cancer. RESULTS Glucose concentrations showed statistically significant (p < 0.05) differences both between lung cancer subtypes and stages, with the highest levels in patients with other lung neoplasms (me = 130.5 mg/dL) and in patients with stage IIB lung cancer (me = 132.0 mg/dL). In patients with advanced lung cancer, IL-6 and LDH had considerably higher concentration and activity. There was also a significant positive correlation between IL-6 and MMP-9 in adenocarcinoma and SqCC, with correlation coefficients of 0.53 and 0.49, respectively. The ROC analyses showed that the best single biomarkers for distinguishing adenocarcinoma from squamous cell carcinoma are glucose, CRP, and CYFRA 21-1; however, their combination did not significantly improve sensitivity, specificity, and the AUC value. The combinations of IL-6, glucose, LDH and CEA, IL-6, SAA1, MMP-9, and lactate can distinguish patients with stage IIB lung cancer from those with stage IIA with 100% sensitivity, 100% specificity, and with an AUC value of 0.8333 and 1.0000, respectively, whereas the combination of CEA, IL-6, and LDH can identify patients with stage IIIA lung cancer from those with stage IIB with 72.73% sensitivity, 94.44% specificity, and an AUC value of 0.8686. CONCLUSION There is a link between biomarkers of tumor microenvironment changes and tumor markers, and combinations of these markers may be clinically useful in the differential diagnosis of adenocarcinoma and squamous cell carcinoma, as well as lung cancer stages IIB and IIA, and IIIA and IIB.
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Affiliation(s)
- Katarzyna Wadowska
- Department of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, Borowska 211A, 50-556 Wroclaw, Poland; (I.B.-L.); (M.Ś.-M.)
| | - Piotr Błasiak
- Department and Clinic of Thoracic Surgery, Wroclaw Medical University, Grabiszyńska 105, 53-439 Wroclaw, Poland; (P.B.); (A.R.)
- Department of Thoracic Surgery, Lower Silesian Center for Lung Diseases, Grabiszyńska 105, 53-439 Wroclaw, Poland
| | - Adam Rzechonek
- Department and Clinic of Thoracic Surgery, Wroclaw Medical University, Grabiszyńska 105, 53-439 Wroclaw, Poland; (P.B.); (A.R.)
- Department of Thoracic Surgery, Lower Silesian Center for Lung Diseases, Grabiszyńska 105, 53-439 Wroclaw, Poland
| | - Iwona Bil-Lula
- Department of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, Borowska 211A, 50-556 Wroclaw, Poland; (I.B.-L.); (M.Ś.-M.)
| | - Mariola Śliwińska-Mossoń
- Department of Medical Laboratory Diagnostics, Division of Clinical Chemistry and Laboratory Haematology, Wroclaw Medical University, Borowska 211A, 50-556 Wroclaw, Poland; (I.B.-L.); (M.Ś.-M.)
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36
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Xu Q, Chen Y. An Aging-Related Gene Signature-Based Model for Risk Stratification and Prognosis Prediction in Lung Adenocarcinoma. Front Cell Dev Biol 2021; 9:685379. [PMID: 34277626 PMCID: PMC8283194 DOI: 10.3389/fcell.2021.685379] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 06/07/2021] [Indexed: 12/11/2022] Open
Abstract
Aging is an inevitable time-dependent process associated with a gradual decline in many physiological functions. Importantly, some studies have supported that aging may be involved in the development of lung adenocarcinoma (LUAD). However, no studies have described an aging-related gene (ARG)-based prognosis signature for LUAD. Accordingly, in this study, we analyzed ARG expression data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). After LASSO and Cox regression analyses, a six ARG-based signature (APOC3, EPOR, H2AFX, MXD1, PLCG2, and YWHAZ) was constructed using TCGA dataset that significantly stratified cases into high- and low-risk groups in terms of overall survival (OS). Cox regression analysis indicated that the ARG signature was an independent prognostic factor in LUAD. A nomogram based on the ARG signature and clinicopathological factors was developed in TCGA cohort and validated in the GEO dataset. Moreover, to visualize the prediction results, we established a web-based calculator yurong.shinyapps.io/ARGs_LUAD/. Calibration plots showed good consistency between the prediction of the nomogram and actual observations. Receiver operating characteristic curve and decision curve analyses indicated that the ARG nomogram had better OS prediction and clinical net benefit than the staging system. Taken together, these results established a genetic signature for LUAD based on ARGs, which may promote individualized treatment and provide promising novel molecular markers for immunotherapy.
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Affiliation(s)
- Qian Xu
- Health Management Center, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yurong Chen
- Department of Medical Oncology, Zhuji People's Hospital of Zhejiang Province, Zhuji Affiliated Hospital of Shaoxing University, Zhuji, China
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Zhou C, Li S, Liu J, Chu Q, Miao L, Cai L, Cai X, Chen Y, Cui F, Dong Y, Dong W, Fang W, He Y, Li W, Li M, Liang W, Lin G, Lin J, Lin X, Liu H, Liu M, Mu X, Hu Y, Hu J, Jin Y, Li Z, Qin Y, Ren S, Sun G, Shen Y, Su C, Tang K, Wu L, Wang M, Wang H, Wang K, Wang Y, Wang P, Wang H, Wang Q, Wang Z, Xie X, Xie Z, Xu X, Xu F, Yang M, Yang B, Yi X, Ye X, Ye F, Yu Z, Yue D, Zhang B, Zhang J, Zhang J, Zhang X, Zhang W, Zhao W, Zhu B, Zhu Z, Zhong W, Bai C, Chen L, Han B, Hu C, Lu S, Li W, Song Y, Wang J, Zhou C, Zhou J, Zhou Y, Saito Y, Ichiki Y, Igai H, Watanabe S, Bravaccini S, Fiorelli A, Petrella F, Nakada T, Solli P, Tsoukalas N, Kataoka Y, Goto T, Berardi R, He J, Zhong N. International consensus on severe lung cancer-the first edition. Transl Lung Cancer Res 2021; 10:2633-2666. [PMID: 34295668 PMCID: PMC8264326 DOI: 10.21037/tlcr-21-467] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 06/17/2021] [Indexed: 02/05/2023]
Affiliation(s)
- 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
| | - Shiyue Li
- 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
| | - Jun Liu
- 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
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Liyun Miao
- Department of Respiratory and Critical Care Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - Linbo Cai
- Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Xiuyu Cai
- Department of General Internal Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yu Chen
- 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
| | - Fei Cui
- 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
| | - Yuchao Dong
- Department of Pulmonary and Critical Care Medicine, Shanghai Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Wen Dong
- Department of Oncology, Hainan Cancer Hospital, Haikou, China
| | - Wenfeng Fang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yong He
- Department of Respiratory Medicine, Daping Hospital, Army Medical University, Chongqing, China
| | - Weifeng Li
- Department of Respiratory Medicine, General Hospital of Guangzhou Military Command of PLA, Guangzhou, China
| | - Min Li
- Department of Respiratory Medicine, Xiangya Cancer Center, Xiangya Hospital, Central South University, Changsha, China
| | - Wenhua Liang
- 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
| | - Gen Lin
- Department of Thoracic Oncology, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, China
| | - Jie Lin
- Department of Medical Oncology, the Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xinqing Lin
- 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
| | - Hongbing Liu
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Ming Liu
- 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
| | - Xinlin Mu
- Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing, China
| | - Yi Hu
- Department of Medical Oncology, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Jie Hu
- Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yang Jin
- Department of Respiratory and Critical Care Medicine, NHC Key Laboratory of Pulmonary Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziming Li
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yinyin Qin
- 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
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Gengyun Sun
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yihong Shen
- Department of Respiratory Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Chunxia Su
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Kejing Tang
- Division of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Sun Yat-sen University, Institute of Pulmonary Diseases, Sun Yat-sen University, Guangzhou, China
| | - Lin Wu
- Thoracic Medicine Department II, Hunan Cancer Hospital, Changsha, China
| | - Mengzhao Wang
- Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Huijuan Wang
- Department of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Kai Wang
- Department of Respiratory Medicine, Fourth Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Yuehong Wang
- Department of Respiratory Disease, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Ping Wang
- Department of Respiratory and Critical Care Medicine, the Eighth Medical Center of PLA General Hospital, Beijing, China
| | - Hongmei Wang
- Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qi Wang
- Department of Respiratory Medicine, The Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Zhijie Wang
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaohong Xie
- 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
| | - Zhanhong Xie
- 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
| | - Xin Xu
- 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
| | - Fei Xu
- Department of Respiratory Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Meng Yang
- Department of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China
| | - Boyan Yang
- Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.,Department of Comprehensive Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangjun Yi
- Department of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaoqun Ye
- Department of Respiratory Diseases, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Feng Ye
- Department of Medical Oncology, The first affiliated hospital of Xiamen University, Xiamen, China
| | - Zongyang Yu
- Department of Pulmonary and Critical Care Medicine, The th Hospital of Joint Logistic Support Force, PLA, Fuzhou, China
| | - Dongsheng Yue
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Bicheng Zhang
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jian Zhang
- Department of Pulmonary and Critical Care Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Jianqing Zhang
- Second Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiaoju Zhang
- Department of Respiratory and Critical Care Medicine, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Wei Zhang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Zhao
- Department of Pulmonary and Critical Care Medicine, The General Hospital of People's Liberation Army, Beijing, China
| | - Bo Zhu
- Institute of Cancer, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Zhengfei Zhu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Wenzhao Zhong
- Guangdong Lung Cancer Institute, Guangdong General Hospital, and Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Chunxue Bai
- Department of Pulmonary Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Liangan Chen
- Department of Respiratory, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Baohui Han
- Department of Pulmonology, Shanghai Chest Hospital, Shanghai, China
| | - Chengping Hu
- Department of Pulmonary Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Shun Lu
- Department of Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Weimin Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Song
- Department of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing, China
| | - Jie Wang
- Key Laboratory of Respiratory Disease Pathogenomics, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Caicun Zhou
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jianying Zhou
- Department of Respiratory Diseases, The First Affiliated Hospital of College of Medicine, Zhejiang University, Hangzhou, China
| | - Yanbin Zhou
- Department of Internal Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuichi Saito
- Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
| | - Yoshinobu Ichiki
- Department of General Thoracic Surgery, National Hospital Organization, Saitama Hospital, Wako, Japan
| | - Hitoshi Igai
- Department of General Thoracic Surgery, Japanese Red Cross Maebashi Hospital, Maebashi, Gunma, Japan
| | - Satoshi Watanabe
- Department of Respiratory Medicine and Infectious Diseases, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Sara Bravaccini
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy
| | - Alfonso Fiorelli
- Thoracic Surgery Unit, Universitàdella Campania Luigi Vanvitelli, Naples, Italy
| | - Francesco Petrella
- Division of Thoracic Surgery, IRCCS European Institute of Oncology, Milan, Italy.,Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy
| | - Takeo Nakada
- Division of Thoracic Surgery, Department of Surgery, the Jikei University School of Medicine, Tokyo, Japan
| | - Piergiorgio Solli
- Department of Cardio-Thoracic Surgery and Hearth & Lung Transplantation, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | | | - Yuki Kataoka
- Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital, Kyoto, Japan
| | - Taichiro Goto
- Lung Cancer and Respiratory Disease Center, Yamanashi Central Hospital, Yamanashi, Japan
| | - Rossana Berardi
- Clinica Oncologica, Università Politecnica delle Marche, Azienda Ospedaliero-Universitaria Ospedali Riuniti Umberto I, GM Lancisi, G Salesi di Ancona, Italy
| | - Jianxing He
- 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
| | - Nanshan Zhong
- 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
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Tatischeff I. Current Search through Liquid Biopsy of Effective Biomarkers for Early Cancer Diagnosis into the Rich Cargoes of Extracellular Vesicles. Int J Mol Sci 2021; 22:ijms22115674. [PMID: 34073560 PMCID: PMC8199101 DOI: 10.3390/ijms22115674] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/05/2021] [Accepted: 05/13/2021] [Indexed: 12/15/2022] Open
Abstract
There exist many different human cancers, but regardless of the cancer type, an early diagnosis is a necessary condition for further optimal outcomes from the disease. Therefore, efficient specific and sensitive cancer biomarkers are urgently needed. This is especially true for the cancers depicting a silent progression, and those only diagnosed in an already metastatic state with a poor survival prognostic. After a rapid overview of the previous methods for cancer diagnosis, the outstanding characteristics of extracellular vesicles (EVs) will be presented, as new interesting candidates for early cancer diagnosis in human biofluid non-invasive liquid biopsy. The present review aims to give the state-of-the-art of the numerous searches of efficient EV-mediated cancer diagnosis. The corresponding literature quest was performed by means of an original approach, using a powerful Expernova Questel big data platform, which was specifically adapted for a literature search on EVs. The chosen collected scientific papers are presented in two parts, the first one drawing up a picture of the current general status of EV-mediated cancer diagnosis and the second one showing recent applications of such EV-mediated diagnosis for six important human-specific cancers, i.e., lung, breast, prostate, colorectal, ovary and pancreatic cancers. However, the promising perspective of finally succeeding in the worldwide quest for the much-needed early cancer diagnosis has to be moderated by the many remaining challenges left to solve before achieving the efficient clinical translation of the constantly increasing scientific knowledge.
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Affiliation(s)
- Irène Tatischeff
- Honorary CNRS and UPMC Research Director, Founder of RevInterCell, a Scientific Consulting Service, 91400 Orsay, France
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Zhao Q, Yuan Z, Wang H, Zhang H, Duan G, Zhang X. Role of circulating tumor cells in diagnosis of lung cancer: a systematic review and meta-analysis. J Int Med Res 2021; 49:300060521994926. [PMID: 33682521 PMCID: PMC7944544 DOI: 10.1177/0300060521994926] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Objective We systematically reviewed the literature relating to the diagnostic accuracy of circulating tumor cells (CTCs) for the clinical determination of lung cancer. Methods This meta-analysis aimed to evaluate the diagnostic accuracy of CTCs for the clinical determination of lung cancer. The PubMed, Embase, Cochrane Library, and Web of Science databases were searched for relevant studies up to 31 May 2020. The numbers of patients with true positive, false positive, false negative, and true negative results were extracted from each individual study. Pooled sensitivity, specificity, and area under the curve values were calculated with 95% confidence intervals (CI). Results Twenty-one studies with 3997 subjects met the inclusion criteria. The overall diagnostic accuracy was assessed. The pooled sensitivity and specificity were 0.72 (95%CI: 0.65–0.79) and 0.96 (95%CI: 0.91–0.98), respectively, and the pooled positive and negative likelihood ratios were 16.86 (95%CI: 7.65–37.12) and 0.29 (95%CI: 0.23–0.37), respectively. The combined diagnostic odds ratio was 58.12 (95%CI: 24.82–136.09). Conclusion This meta-analysis indicated that CTCs had good diagnostic value for detecting lung cancer.
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Affiliation(s)
- Qingtao Zhao
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Zheng Yuan
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Huien Wang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Hua Zhang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
| | - Guochen Duan
- Department of Thoracic Surgery, Children's Hospital of Hebei Province, Shijiazhuang, China
| | - Xiaopeng Zhang
- Department of Thoracic Surgery, Hebei General Hospital, Shijiazhuang, China
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El Ayachy R, Giraud N, Giraud P, Durdux C, Giraud P, Burgun A, Bibault JE. The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up. Front Oncol 2021; 11:603595. [PMID: 34026602 PMCID: PMC8131863 DOI: 10.3389/fonc.2021.603595] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 04/06/2021] [Indexed: 12/12/2022] Open
Abstract
Purpose Lung cancer represents the first cause of cancer-related death in the world. Radiomics studies arise rapidly in this late decade. The aim of this review is to identify important recent publications to be synthesized into a comprehensive review of the current status of radiomics in lung cancer at each step of the patients’ care. Methods A literature review was conducted using PubMed/Medline for search of relevant peer-reviewed publications from January 2012 to June 2020 Results We identified several studies at each point of patient’s care: detection and classification of lung nodules (n=16), determination of histology and genomic (n=10) and finally treatment outcomes predictions (=23). We reported the methodology of those studies and their results and discuss the limitations and the progress to be made for clinical routine applications. Conclusion Promising perspectives arise from machine learning applications and radiomics based models in lung cancers, yet further data are necessary for their implementation in daily care. Multicentric collaboration and attention to quality and reproductivity of radiomics studies should be further consider.
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Affiliation(s)
- Radouane El Ayachy
- Radiation Oncology Department, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,Cancer Research and Personalized Medicine-Integrated Cancer Research Center (SIRIC), Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France
| | - Nicolas Giraud
- INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France.,Radiation Oncology Department, Haut-Lévêque Hospital, CHU de Bordeaux, Pessac, France
| | - Paul Giraud
- Radiation Oncology Department, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,Cancer Research and Personalized Medicine-Integrated Cancer Research Center (SIRIC), Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France
| | - Catherine Durdux
- Radiation Oncology Department, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,Cancer Research and Personalized Medicine-Integrated Cancer Research Center (SIRIC), Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France
| | - Philippe Giraud
- Radiation Oncology Department, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,Cancer Research and Personalized Medicine-Integrated Cancer Research Center (SIRIC), Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France
| | - Anita Burgun
- Cancer Research and Personalized Medicine-Integrated Cancer Research Center (SIRIC), Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France
| | - Jean Emmanuel Bibault
- Radiation Oncology Department, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,Cancer Research and Personalized Medicine-Integrated Cancer Research Center (SIRIC), Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Université de Paris, Paris, France.,INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France
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Venkataram R, Arjuna S, Hosmane GB, Chakraborty A. Quantitative analysis of cell-free DNA by droplet digital PCR reveals the presence of EGFR mutations in non-malignant lung pathologies. Monaldi Arch Chest Dis 2021; 91. [PMID: 33960186 DOI: 10.4081/monaldi.2021.1748] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 04/18/2021] [Indexed: 11/23/2022] Open
Abstract
Tyrosine kinase inhibitors (TKIs) targeting epidermal growth factor receptor (EGFR) are effectively used in treatment of non-small cell lung cancer (NSCLC). Mutation profile of tyrosine kinase domain of EGFR determines the eligibility of the patients for tyrosine kinase inhibitor (TKI) therapy. Liquid biopsy, which relies on circulating tumor-derived nucleic acids, has emerged as an effective tool in lung cancer management with proven diagnostic, prognostic and predictive applications. We screened 100 subjects, suspected to have lung malignancy, for four hotspot mutations including three activating (G719S, Ex19del E746-A750 and L858R) and one acquired (T790M, de novo) in EGFR gene by droplet digital PCR (ddPCR). While 97 subjects were subsequently confirmed to have lung malignancy based on histo/cytopathological studies, three cases turned out to be non-malignant lung pathologies that were completely cured by antibiotic therapy. Intriguingly, ddPCR revealed the presence of EGFR mutations in these non-malignant subjects. Two cases showed the presence of G719S and T790M mutations respectively and another had compound mutations (T790M and L858R). The detection of EGFR mutations in non-malignant pulmonary conditions opens up a new area of research.
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Affiliation(s)
- Rajesh Venkataram
- Department of Pulmonary Medicine, KS Hegde Medical Academy (Deemed to be University), Nitte, Mangalore .
| | - Srividya Arjuna
- Division of Molecular Genetics and Cancer, Nitte University Centre For Science Education and Research (NUCSER), Nitte (Deemed to be University), Mangalore .
| | - Giridhar Belur Hosmane
- Department of Pulmonary Medicine, KS Hegde Medical Academy (Deemed to be University), Nitte, Mangalore.
| | - Anirban Chakraborty
- Division of Molecular Genetics and Cancer, Nitte University Centre For Science Education and Research (NUCSER), Nitte (Deemed to be University), Mangalore .
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Ferreira D, Miranda J, Martins-Lopes P, Adega F, Chaves R. Future Perspectives in Detecting EGFR and ALK Gene Alterations in Liquid Biopsies of Patients with NSCLC. Int J Mol Sci 2021; 22:ijms22083815. [PMID: 33916986 PMCID: PMC8067613 DOI: 10.3390/ijms22083815] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 03/28/2021] [Accepted: 04/03/2021] [Indexed: 02/07/2023] Open
Abstract
Non-small-cell lung cancer (NSCLC) is a major cause of death worldwide. Alterations in such genes as EGFR and ALK are considered important biomarkers in NSCLC due to the existence of targeted therapies with specific tyrosine kinase inhibitors (TKIs). However, specific resistance-related mutations can occur during TKI treatment, which often result in therapy inefficacy. Liquid biopsies arise as a reliable tool for the early detection of these types of alterations, allowing a non-invasive follow-up of the patients. Furthermore, they can be essential for cancer screening, initial diagnosis and to check surgery success. Despite the great advantages of liquid biopsies in NSCLC and the high input that next-generation sequencing (NGS) approaches can provide in this field, its use in oncology is still limited. With improvement of assay sensitivity and the establishment of clinical guidelines for liquid biopsy analysis, it is expected that they will be used in routine procedures. This review focuses on the usefulness of liquid biopsies of NSCLC patients as a means to detect alterations in EGFR and ALK genes and in disease management, highlighting the impact of NGS methods.
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Affiliation(s)
- Daniela Ferreira
- Biosystems and Integrative Sciences Institute (BioISI), Faculty of Sciences, University of Lisboa, 1749-016 Lisbon, Portugal; (D.F.); (J.M.); (P.M.-L.); (F.A.)
| | - Juliana Miranda
- Biosystems and Integrative Sciences Institute (BioISI), Faculty of Sciences, University of Lisboa, 1749-016 Lisbon, Portugal; (D.F.); (J.M.); (P.M.-L.); (F.A.)
| | - Paula Martins-Lopes
- Biosystems and Integrative Sciences Institute (BioISI), Faculty of Sciences, University of Lisboa, 1749-016 Lisbon, Portugal; (D.F.); (J.M.); (P.M.-L.); (F.A.)
- Department of Genetics and Biotechnology (DGB), University of Trás-os-Montes e Alto Douro (UTAD), 5000-801 Vila Real, Portugal
| | - Filomena Adega
- Biosystems and Integrative Sciences Institute (BioISI), Faculty of Sciences, University of Lisboa, 1749-016 Lisbon, Portugal; (D.F.); (J.M.); (P.M.-L.); (F.A.)
| | - Raquel Chaves
- Biosystems and Integrative Sciences Institute (BioISI), Faculty of Sciences, University of Lisboa, 1749-016 Lisbon, Portugal; (D.F.); (J.M.); (P.M.-L.); (F.A.)
- Correspondence: ; Tel.: +351-259-350936
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Baszuk P, Janasik B, Pietrzak S, Marciniak W, Reszka E, Białkowska K, Jabłońska E, Muszyńska M, Lesicka M, Derkacz R, Grodzki T, Wójcik J, Wojtyś M, Dębniak T, Cybulski C, Gronwald J, Kubisa B, Wójcik N, Pieróg J, Gajić D, Waloszczyk P, Scott RJ, Wąsowicz W, Jakubowska A, Lubiński J, Lener MR. Lung Cancer Occurrence-Correlation with Serum Chromium Levels and Genotypes. Biol Trace Elem Res 2021; 199:1228-1236. [PMID: 32648197 PMCID: PMC7886837 DOI: 10.1007/s12011-020-02240-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 06/08/2020] [Indexed: 12/19/2022]
Abstract
Lung cancer is the leading cause of cancer-related death worldwide. Exposure to environmental and occupational carcinogens is an important cause of lung cancer. One of these substances is chromium, which is found ubiquitously across the planet. The International Agency for Research on Cancer has classified chromium(VI) as a human carcinogen. The aim of this study was to assess whether serum chromium levels, as well as DNA variants in selected genes involved in carcinogenesis, xenobiotic-metabolism, and oxidative stress could be helpful in the detection of lung cancer. We conducted a study using 218 lung cancer patients and 218 matched healthy controls. We measured serum chromium levels and genotyped ten genetic variants in ERCC2, XRCC1, MT1B, GSTP1, ABCB1, NQ01, CRTC3, GPX1, SOD2 and CAT. The odds ratios of being diagnosed with lung cancer were calculated using conditional logistic regression with respect to serum chromium level and genotypes. The odds ratio for the occurrence of lung cancer increased with increasing serum chromium levels. The difference between the quartiles with the lowest vs. highest chromium level was more than fourfold in the entire group (OR 4.52, CI 2.17-9.42, p < 0.01). This correlation was significantly increased by more than twice when specific genotypes were taken into consideration (ERCC-rs12181 TT, OR 12.34, CI 1.17-130.01, p = 0.04; CRTC3-rs12915189 non GG, OR 9.73, CI 1.58-60.10, p = 0.01; GSTP1-rs1695 non AA, OR 9.47, CI 2.06-43.49, p = < 0.01; CAT-rs1001179 non CC, OR 9.18, CI 1.64-51.24, p = 0.01). Total serum chromium levels > 0.1 μg/L were correlated with 73% (52/71) of lung cancers diagnosed with stage I disease. Our findings support the role of chromium and the influence of key proteins on lung cancer burden in the general population.
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Affiliation(s)
- Piotr Baszuk
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
| | - Beata Janasik
- Biological and Environment Monitoring Department, Nofer Institute of Occupational Medicine, ul.św. Teresy od dzieciątka Jezus 8, 91-348, Łódź, Poland
| | - Sandra Pietrzak
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
| | - Wojciech Marciniak
- Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003, Grzepnica, Dobra(Szczecińska), Poland
| | - Edyta Reszka
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, ul.św. Teresy od dzieciątka Jezus 8, 91-348, Łódź, Poland
| | - Katarzyna Białkowska
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
| | - Ewa Jabłońska
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, ul.św. Teresy od dzieciątka Jezus 8, 91-348, Łódź, Poland
| | - Magdalena Muszyńska
- Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003, Grzepnica, Dobra(Szczecińska), Poland
| | - Monika Lesicka
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, ul.św. Teresy od dzieciątka Jezus 8, 91-348, Łódź, Poland
| | - Róża Derkacz
- Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003, Grzepnica, Dobra(Szczecińska), Poland
| | - Tomasz Grodzki
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891, Szczecin, Poland
| | - Janusz Wójcik
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891, Szczecin, Poland
| | - Małgorzata Wojtyś
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891, Szczecin, Poland
| | - Tadeusz Dębniak
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
| | - Cezary Cybulski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
| | - Bartosz Kubisa
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891, Szczecin, Poland
| | - Norbert Wójcik
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891, Szczecin, Poland
| | - Jarosław Pieróg
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891, Szczecin, Poland
| | - Darko Gajić
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891, Szczecin, Poland
| | - Piotr Waloszczyk
- Independent Laboratory of Pathology, Zdunomed, ul. Energetyków 2, 70-656, Szczecin, Poland
| | - Rodney J Scott
- Priority Research Centre for Cancer Research, Innovation and Translation, Hunter Medical Research Institute, New Lambton Heights, Australia
- School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Newcastle, Australia
- Division of Molecular Medicine, Pathology North, John Hunter Hospital, New Lambton, NSW, 2305, Australia
| | - Wojciech Wąsowicz
- Biological and Environment Monitoring Department, Nofer Institute of Occupational Medicine, ul.św. Teresy od dzieciątka Jezus 8, 91-348, Łódź, Poland
| | - Anna Jakubowska
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
- Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003, Grzepnica, Dobra(Szczecińska), Poland
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland
- Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003, Grzepnica, Dobra(Szczecińska), Poland
| | - Marcin R Lener
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252, Szczecin, Poland.
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Smolarz M, Widlak P. Serum Exosomes and Their miRNA Load-A Potential Biomarker of Lung Cancer. Cancers (Basel) 2021; 13:cancers13061373. [PMID: 33803617 PMCID: PMC8002857 DOI: 10.3390/cancers13061373] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/14/2021] [Accepted: 03/15/2021] [Indexed: 12/19/2022] Open
Abstract
Early detection of lung cancer in screening programs is a rational way to reduce mortality associated with this malignancy. Low-dose computed tomography, a diagnostic tool used in lung cancer screening, generates a relatively large number of false-positive results, and its complementation with molecular biomarkers would greatly improve the effectiveness of such programs. Several biomarkers of lung cancer based on different components of blood, including miRNA signatures, were proposed. However, only a few of them have been positively validated in the context of early cancer detection yet, which imposes a constant need for new biomarker candidates. An emerging source of cancer biomarkers are exosomes and other types of extracellular vesicles circulating in body fluids. Hence, different molecular components of serum/plasma-derived exosomes were tested and showed different levels in lung cancer patients and healthy individuals. Several studies focused on the miRNA component of these vesicles. Proposed signatures of exosome miRNA had promising diagnostic value, though none of them have yet been clinically validated. These signatures involved a few dozen miRNA species overall, including a few species that recurred in different signatures. It is worth noting that all these miRNA species have cancer-related functions and have been associated with lung cancer progression. Moreover, a few of them, including known oncomirs miR-17, miR-19, miR-21, and miR-221, appeared in multiple miRNA signatures of lung cancer based on both the whole serum/plasma and serum/plasma-derived exosomes.
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Alam A, Ansari MA, Badrealam KF, Pathak S. Molecular approaches to lung cancer prevention. Future Oncol 2021; 17:1793-1810. [PMID: 33653087 DOI: 10.2217/fon-2020-0789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Lung cancer is generally diagnosed at advanced stages when surgical resection is not possible. Late diagnosis, along with development of chemoresistance, results in high mortality. Preventive approaches, including smoking cessation, chemoprevention and early detection are needed to improve survival. Smoking cessation combined with low-dose computed tomography screening has modestly improved survival. Chemoprevention has also shown some promise. Despite these successes, most lung cancer cases remain undetected until advanced stages. Additional early detection strategies may further improve survival and treatment outcome. Molecular alterations taking place during lung carcinogenesis have the potential to be used in early detection via noninvasive methods and may also serve as biomarkers for success of chemopreventive approaches. This review focuses on the utilization of molecular biomarkers to increase the efficacy of various preventive approaches.
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Affiliation(s)
- Asrar Alam
- Department of Preventive Oncology, Dr BR Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Mohammad A Ansari
- Department of Epidemic Disease Research, Institute of Research & Medical Consultation, Imam Abdulrahman Bin Faisal University, Dammam, 31441, Saudi Arabia
| | - Khan F Badrealam
- Cardiovascular & Mitochondrial Related Disease Research Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 970, Taiwan
| | - Sujata Pathak
- Department of Preventive Oncology, Dr BR Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
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Lener MR, Reszka E, Marciniak W, Lesicka M, Baszuk P, Jabłońska E, Białkowska K, Muszyńska M, Pietrzak S, Derkacz R, Grodzki T, Wójcik J, Wojtyś M, Dębniak T, Cybulski C, Gronwald J, Kubisa B, Pieróg J, Waloszczyk P, Scott RJ, Jakubowska A, Narod SA, Lubiński J. Blood cadmium levels as a marker for early lung cancer detection. J Trace Elem Med Biol 2021; 64:126682. [PMID: 33249371 DOI: 10.1016/j.jtemb.2020.126682] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/16/2020] [Accepted: 11/06/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND We assessed whether blood cadmium levels were associated with incident lung cancer and could be used in the context of a screening program for early-stage lung cancer. MATERIAL AND METHODS We measured blood cadmium levels among 205 lung cancer patients and 205 matched controls. Cases and controls were matched for sex, age and smoking history (total pack-years, years since cessation for former smokers). RESULTS The odds ratio for those in the highest quartile of cadmium level (versus lowest) was four-fold (OR = 4.41, 95 % CI:2.01-9.67, p < 0.01). The association was present in former smokers (OR = 16.8, 95 % CI:3.96-71.2, p < 0.01), but not in current smokers (OR = 1.23, 95 % CI: 0.34-4.38) or in never smokers (OR not defined). Among former smokers, the association was present in both early- and late-stage lung cancer. CONCLUSION Blood cadmium levels may be a marker to help with the early detection of lung cancer among former smokers.
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Affiliation(s)
- Marcin R Lener
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Edyta Reszka
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, ul.św. Teresy od Dzieciątka Jezus 8, 91-348 Łódź, Poland
| | - Wojciech Marciniak
- Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003 Dobra (Szczecińska), Poland
| | - Monika Lesicka
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, ul.św. Teresy od Dzieciątka Jezus 8, 91-348 Łódź, Poland
| | - Piotr Baszuk
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Ewa Jabłońska
- Department of Molecular Genetics and Epigenetics, Nofer Institute of Occupational Medicine, ul.św. Teresy od Dzieciątka Jezus 8, 91-348 Łódź, Poland
| | - Katarzyna Białkowska
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | | | - Sandra Pietrzak
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Róża Derkacz
- Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003 Dobra (Szczecińska), Poland
| | - Tomasz Grodzki
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891 Szczecin, Poland
| | - Janusz Wójcik
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891 Szczecin, Poland
| | - Małgorzata Wojtyś
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891 Szczecin, Poland
| | - Tadeusz Dębniak
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Cezary Cybulski
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland; Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003 Dobra (Szczecińska), Poland
| | - Jacek Gronwald
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland; Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003 Dobra (Szczecińska), Poland
| | - Bartosz Kubisa
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891 Szczecin, Poland
| | - Jarosław Pieróg
- Department of Thoracic Surgery and Transplantation, Pomeranian Medical University in Szczecin, ul. A. Sokołowskiego 11, 70-891 Szczecin, Poland
| | - Piotr Waloszczyk
- Independent Laboratory of Pathology, Zdunomed, ul. Energetyków 2, 70-656 Szczecin, Poland
| | - Rodney J Scott
- Medical Genetics, Hunter Medical Research Institute, Priority Research Centre for Cancer Research, Innovation and Translation, School of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Pathology North, John Hunter Hospital, Cnr King and Auckland Streets, Newcastle NSW 2300 Australia
| | - Anna Jakubowska
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland
| | - Steven A Narod
- Women's College Research Institute, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Jan Lubiński
- Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, ul. Unii Lubelskiej 1, 71-252 Szczecin, Poland; Read-Gene, Grzepnica, ul. Alabastrowa 8, 72-003 Dobra (Szczecińska), Poland.
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Mohammadi R, Hosseini SA, Noruzi S, Ebrahimzadeh A, Sahebkar A. Diagnostic and Therapeutic Applications of Exosome Nanovesicles in Lung Cancer: State-of-The-Art. Anticancer Agents Med Chem 2021; 22:83-100. [PMID: 33645488 DOI: 10.2174/1871520621666210301085318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 12/30/2020] [Accepted: 01/13/2021] [Indexed: 11/22/2022]
Abstract
Lung cancer is a malignant disease with a frequency of various morbidity, mortality, and poor prognosis in patients that the conventional therapeutic approaches are not efficient sufficiently. Recently, with the discovery of exosomes, researchers have examined new approaches in the development, diagnosis, treatment, and drug delivery of various cancer, such as lung cancer, and display various its potential. Investigation of exosome-derived lung cancer cells contents and preparation of their exhaustive profile by advanced technics such as labeling exosome with nanoparticle and types of mass spectroscopy methods will assist researchers for take advantage of the specific properties of exosomes. Moreover, scientists will present encouraging ways for the treatment of lung cancer with loaded of drugs, proteins, microRNA, and siRNA in specific antigen targeted exosomes. This manuscript will include brief details on the role of exosomes as a novel prognostic biomarker (by the content of lipid, surface and internal protein, miRNAs, and LnRNAs) and therapeutic agent (as vaccine and targeted drug delivery) in lung cancer.
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Affiliation(s)
- Rezvan Mohammadi
- Student Research Committee, Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran. Iran
| | - Seyede A Hosseini
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad. Iran
| | - Somaye Noruzi
- Department of Biotechnology, School of Medicine, North Khorasan University of Medical Sciences, Bojnurd. Iran
| | - Ailin Ebrahimzadeh
- Natural Products and Medicinal Plants Research Center, North Khorasan University of Medical Science, Bojnurd. Iran
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad. Iran
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Stiller C, Viktorsson K, Paz Gomero E, Hååg P, Arapi V, Kaminskyy VO, Kamali C, De Petris L, Ekman S, Lewensohn R, Karlström AE. Detection of Tumor-Associated Membrane Receptors on Extracellular Vesicles from Non-Small Cell Lung Cancer Patients via Immuno-PCR. Cancers (Basel) 2021; 13:cancers13040922. [PMID: 33671772 PMCID: PMC7926549 DOI: 10.3390/cancers13040922] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 02/11/2021] [Accepted: 02/18/2021] [Indexed: 12/18/2022] Open
Abstract
Simple Summary Lung cancer is often detected at late stages when metastases are present and the genomic make-ups of the tumors are heterogeneous. Analyses of genomic alterations in non-small-cell lung cancer (NSCLC) have revealed mutated tumor-associated membrane receptors and fusion proteins, which can be targeted via tyrosine kinase inhibitors (TKIs). TKIs initially often have a good effect, but a fraction of the tumor lesions may develop resistance through additional mutations in the targeted kinases or by increased expression/function of other membrane receptors. Detection of TKI-bypassing mechanisms is difficult in tissue biopsies as these analyze only a subpart of tumors or lesions. Liquid biopsies based on tumor-secreted small extracellular vesicles (sEVs) into body fluids can assess tumor heterogeneity. We present an immuno-PCR method for the detection of the epidermal growth factor receptor (EGFR), the human epidermal growth factor receptor 2 (HER2), and the insulin-like growth factor 1 receptor (IGF-1R) on sEVs. Initial investigations of sEVs from EGFR-mutant NSCLC tumor cells or pleural effusion (PE) fluid from patients with NSCLC or benign diseases showed different protein profiles for individual sEV samples. Further development of the immuno-PCR could complement DNA/mRNA-based assays detecting kinase mutations to allow longitudinal treatment monitoring of diverse TKI-bypassing mechanisms. Abstract Precision cancer medicine for non-small-cell lung cancer (NSCLC) has increased patient survival. Nevertheless, targeted agents towards tumor-associated membrane receptors only result in partial remission for a limited time, calling for approaches which allow longitudinal treatment monitoring. Rebiopsy of tumors in the lung is challenging, and metastatic lesions may have heterogeneous signaling. One way ahead is to use liquid biopsies such as circulating tumor DNA or small extracellular vesicles (sEVs) secreted by the tumor into blood or other body fluids. Herein, an immuno-PCR-based detection of the tumor-associated membrane receptors EGFR, HER2, and IGF-1R on CD9-positive sEVs from NSCLC cells and pleural effusion fluid (PE) of NSCLC patients is developed utilizing DNA conjugates of antibody mimetics and affibodies, as detection agents. Results on sEVs purified from culture media of NSCLC cells treated with anti-EGFR siRNA, showed that the reduction of EGFR expression can be detected via immuno-PCR. Protein profiling of sEVs from NSCLC patient PE samples revealed the capacity to monitor EGFR, HER2, and IGF-1R with the immuno-PCR method. We detected a significantly higher EGFR level in sEVs derived from a PE sample of a patient with an EGFR-driven NSCLC adenocarcinoma than in sEVs from PE samples of non-EGFR driven adenocarcinoma patients or in samples from patients with benign lung disease. In summary, we have developed a diagnostic method for sEVs in liquid biopsies of cancer patients which may be used for longitudinal treatment monitoring to detect emerging bypassing resistance mechanisms in a noninvasive way.
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Affiliation(s)
- Christiane Stiller
- Department of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; (C.S.); (E.P.G.)
- Biomedical Centre, Department of Pharmaceutical Biosciences, Uppsala University, SE-75123 Uppsala, Sweden
| | - Kristina Viktorsson
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
| | - Elizabeth Paz Gomero
- Department of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; (C.S.); (E.P.G.)
| | - Petra Hååg
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
| | - Vasiliki Arapi
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
| | - Vitaliy O. Kaminskyy
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
| | - Caroline Kamali
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
- Theme Cancer, Medical Unit Head and Neck, Lung, and Skin Tumors, Thoracic Oncology Center, Karolinska University Hospital, SE-17177 Stockholm, Sweden
| | - Luigi De Petris
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
- Theme Cancer, Medical Unit Head and Neck, Lung, and Skin Tumors, Thoracic Oncology Center, Karolinska University Hospital, SE-17177 Stockholm, Sweden
| | - Simon Ekman
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
- Theme Cancer, Medical Unit Head and Neck, Lung, and Skin Tumors, Thoracic Oncology Center, Karolinska University Hospital, SE-17177 Stockholm, Sweden
| | - Rolf Lewensohn
- Department of Oncology-Pathology, Karolinska Institutet, SE-17177 Stockholm, Sweden; (K.V.); (P.H.); (V.A.); (V.O.K.); (C.K.); (L.D.P.); (S.E.); (R.L.)
- Theme Cancer, Medical Unit Head and Neck, Lung, and Skin Tumors, Thoracic Oncology Center, Karolinska University Hospital, SE-17177 Stockholm, Sweden
| | - Amelie Eriksson Karlström
- Department of Protein Science, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, AlbaNova University Center, SE-10691 Stockholm, Sweden; (C.S.); (E.P.G.)
- Correspondence: ; Tel.: +46-8-790-99-78
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Dong SW, Li R, Cheng Z, Liu DC, Xia J, Xu J, Li S, Wang J, Yue Y, Fan Y, Cao Y, Dai L, Wang J, Zhao P, Wang X, Xiao Z, Qiu C, Wang GS, Zou C. Mutational Pattern in Multiple Pulmonary Nodules Are Associated With Early Stage Lung Adenocarcinoma. Front Oncol 2021; 10:571521. [PMID: 33680914 PMCID: PMC7934775 DOI: 10.3389/fonc.2020.571521] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 12/08/2020] [Indexed: 01/07/2023] Open
Abstract
The clinical significance of mutation in multiple pulmonary nodules is largely limited by single gene mutation-directed analysis and lack of validation of gene expression profiles. New analytic strategy is urgently needed for comprehensive understanding of genomic data in multiple pulmonary nodules. In this study, we performed whole exome sequencing in 16 multiple lung nodules and 5 adjacent normal tissues from 4 patients with multiple pulmonary nodules and decoded the mutation information from a perspective of cellular functions and signaling pathways. Mutated genes as well as mutation patterns shared in more than two lesions were identified and characterized. We found that the number of mutations or mutated genes and the extent of protein structural changes caused by different mutations is positively correlated with the degree of malignancy. Moreover, the mutated genes in the nodules are associated with the molecular functions or signaling pathways related to cell proliferation and survival. We showed a developing pattern of quantity (the number of mutations/mutated genes) and quality (the extent of protein structural changes) in multiple pulmonary nodules. The mutation and mutated genes in multiple pulmonary nodules are associated with cell proliferation and survival related signaling pathways. This study provides a new perspective for comprehension of genomic mutational data and might shed new light on deciphering molecular evolution of early stage lung adenocarcinoma.
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Affiliation(s)
- Shao-Wei Dong
- Clinical Medical Research Centre, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China.,Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Shenzhen, China
| | - Rong Li
- Department of Oncology, Taikang Xianlin Drum Tower Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Zhiqiang Cheng
- Department of Pathology, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Dong-Cheng Liu
- Clinical Medical Research Centre, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Jinquan Xia
- Clinical Medical Research Centre, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Jing Xu
- Department of Pathology, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Shixuan Li
- Department of Thoracic Surgery, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Jian Wang
- Department of Thoracic Surgery, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Yongjian Yue
- Department of Respiratory and Critical Medicine, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, China
| | - Yingrui Fan
- Department of Oncology, Taikang Xianlin Drum Tower Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Yundi Cao
- Department of Oncology, Taikang Xianlin Drum Tower Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Lingyun Dai
- Department of Geriatrics, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Jigang Wang
- Department of Geriatrics, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Pan Zhao
- Clinical Medical Research Centre, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Xin Wang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, Hong Kong
| | - Zhangang Xiao
- Key Laboratory of Medical Electrophysiology of Ministry of Education, School of Pharmacy, Southwestern Medical University, Luzhou, China
| | - Chen Qiu
- Department of Respiratory and Critical Medicine, Shenzhen People's Hospital, Second Clinical Medical College of Jinan University, Shenzhen, China
| | - Guang-Suo Wang
- Department of Thoracic Surgery, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China
| | - Chang Zou
- Clinical Medical Research Centre, The First Affiliated Hospital, Southern University of Science and Technology, Shenzhen People's Hospital, Shenzhen, China.,Shenzhen Public Service Platform on Tumor Precision Medicine and Molecular Diagnosis, Shenzhen, China
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Ning J, Ge T, Jiang M, Jia K, Wang L, Li W, Chen B, Liu Y, Wang H, Zhao S, He Y. Early diagnosis of lung cancer: which is the optimal choice? Aging (Albany NY) 2021; 13:6214-6227. [PMID: 33591942 PMCID: PMC7950268 DOI: 10.18632/aging.202504] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 12/18/2020] [Indexed: 02/06/2023]
Abstract
The prognosis of lung cancer patients with different clinical stages is significantly different. The 5-year survival of stage IA groups can exceed 90%, while patients with stage IV can be less than 10%. Therefore, early diagnosis is extremely important for lung cancer patients. This research focused on various diagnosis methods of early lung cancer, including imaging screening, bronchoscopy, and emerging potential liquid biopsies, as well as volatile organic compounds, autoantibodies, aiming to improve the early diagnosis rate and explore feasible and effective early diagnosis strategies.
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Affiliation(s)
- Jing Ning
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China.,Tongji University, Shanghai 200433, People's Republic of China
| | - Tao Ge
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China
| | - Minlin Jiang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China.,Tongji University, Shanghai 200433, People's Republic of China
| | - Keyi Jia
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China.,Tongji University, Shanghai 200433, People's Republic of China
| | - Lei Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China
| | - Wei Li
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China
| | - Bin Chen
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China
| | - Yu Liu
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China.,Tongji University, Shanghai 200433, People's Republic of China
| | - Hao Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China.,Tongji University, Shanghai 200433, People's Republic of China
| | - Sha Zhao
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China
| | - Yayi He
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University School of Medicine, Shanghai 200433, People's Republic of China
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