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Jha SK, De Rubis G, Devkota SR, Zhang Y, Adhikari R, Jha LA, Bhattacharya K, Mehndiratta S, Gupta G, Singh SK, Panth N, Dua K, Hansbro PM, Paudel KR. Cellular senescence in lung cancer: Molecular mechanisms and therapeutic interventions. Ageing Res Rev 2024; 97:102315. [PMID: 38679394 DOI: 10.1016/j.arr.2024.102315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 04/03/2024] [Accepted: 04/23/2024] [Indexed: 05/01/2024]
Abstract
Lung cancer stands as the primary contributor to cancer-related fatalities worldwide, affecting both genders. Two primary types exist where non-small cell lung cancer (NSCLC), accounts for 80-85% and SCLC accounts for 10-15% of cases. NSCLC subtypes include adenocarcinoma, squamous cell carcinoma, and large cell carcinoma. Smoking, second-hand smoke, radon gas, asbestos, and other pollutants, genetic predisposition, and COPD are lung cancer risk factors. On the other hand, stresses such as DNA damage, telomere shortening, and oncogene activation cause a prolonged cell cycle halt, known as senescence. Despite its initial role as a tumor-suppressing mechanism that slows cell growth, excessive or improper control of this process can cause age-related diseases, including cancer. Cellular senescence has two purposes in lung cancer. Researchers report that senescence slows tumor growth by constraining multiplication of impaired cells. However, senescent cells also demonstrate the pro-inflammatory senescence-associated secretory phenotype (SASP), which is widely reported to promote cancer. This review will look at the role of cellular senescence in lung cancer, describe its diagnostic markers, ask about current treatments to control it, look at case studies and clinical trials that show how senescence-targeting therapies can be used in lung cancer, and talk about problems currently being faced, and possible solutions for the same in the future.
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Affiliation(s)
- Saurav Kumar Jha
- Department of Biological Sciences and Bioengineering (BSBE), Indian Institute of Technology, Kanpur, Uttar Pradesh 208016, India
| | - Gabriele De Rubis
- Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, Sydney, NSW 2007, Australia; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, Australia
| | - Shankar Raj Devkota
- Monash Biomedicine Discovery Institute, and Department of Biochemistry and Molecular Biology, Monash University, Clayton, VIC 3800, Australia
| | - Yali Zhang
- School of Chemical Engineering, University of Adelaide, Adelaide 5005, Australia
| | - Radhika Adhikari
- College of Pharmacy and Natural Medicine Research Institute, Mokpo National University, Jeonnam 58554, Republic of Korea
| | - Laxmi Akhileshwar Jha
- Naraina Vidya Peeth Group of Institutions, Faculty of Pharmacy, Dr. A. P. J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh 0208020, India
| | - Kunal Bhattacharya
- Pratiksha Institute of Pharmaceutical Sciences, Guwahati, Assam 781026, India; Royal School of Pharmacy, The Assam Royal Global University, Guwahati, Assam 781035, India
| | - Samir Mehndiratta
- Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, Sydney, NSW 2007, Australia; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, Australia
| | - Gaurav Gupta
- Centre for Global Health Research, Saveetha Medical College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India; Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
| | - Sachin Kumar Singh
- Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, Australia; School of Pharmaceutical Sciences, Lovely Professional University, Jalandhar-Delhi G.T Road, Phagwara, Punjab, India
| | - Nisha Panth
- Centre for Inflammation, Centenary Institute and University of Technology Sydney, Faculty of Science, School of Life Sciences, Sydney, NSW 2007, Australia
| | - Kamal Dua
- Discipline of Pharmacy, Graduate School of Health, University of Technology Sydney, Sydney, NSW 2007, Australia; Faculty of Health, Australian Research Centre in Complementary and Integrative Medicine, University of Technology Sydney, Ultimo, Australia.
| | - Philip M Hansbro
- Centre for Inflammation, Centenary Institute and University of Technology Sydney, Faculty of Science, School of Life Sciences, Sydney, NSW 2007, Australia.
| | - Keshav Raj Paudel
- Centre for Inflammation, Centenary Institute and University of Technology Sydney, Faculty of Science, School of Life Sciences, Sydney, NSW 2007, Australia.
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O'Dowd EL, Tietzova I, Bartlett E, Devaraj A, Biederer J, Brambilla M, Brunelli A, Chorostowska J, Decaluwe H, Deruysscher D, De Wever W, Donoghue M, Fabre A, Gaga M, van Geffen W, Hardavella G, Kauczor HU, Kerpel-Fronius A, van Meerbeeck J, Nagavci B, Nestle U, Novoa N, Prosch H, Prokop M, Putora PM, Rawlinson J, Revel MP, Snoeckx A, Veronesi G, Vliegenthart R, Weckbach S, Blum TG, Baldwin DR. ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer. Eur J Cardiothorac Surg 2023; 64:ezad302. [PMID: 37804174 PMCID: PMC10876118 DOI: 10.1093/ejcts/ezad302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 10/09/2023] Open
Abstract
BACKGROUND Screening for lung cancer with low radiation dose computed tomography has a strong evidence base, is being introduced in several European countries and is recommended as a new targeted cancer screening programme. The imperative now is to ensure that implementation follows an evidence-based process that will ensure clinical and cost effectiveness. This European Respiratory Society (ERS) task force was formed to provide an expert consensus for the management of incidental findings which can be adapted and followed during implementation. METHODS A multi-European society collaborative group was convened. 23 topics were identified, primarily from an ERS statement on lung cancer screening, and a systematic review of the literature was conducted according to ERS standards. Initial review of abstracts was completed and full text was provided to members of the group for each topic. Sections were edited and the final document approved by all members and the ERS Science Council. RESULTS Nine topics considered most important and frequent were reviewed as standalone topics (interstitial lung abnormalities, emphysema, bronchiectasis, consolidation, coronary calcification, aortic valve disease, mediastinal mass, mediastinal lymph nodes and thyroid abnormalities). Other topics considered of lower importance or infrequent were grouped into generic categories, suitable for general statements. CONCLUSIONS This European collaborative group has produced an incidental findings statement that can be followed during lung cancer screening. It will ensure that an evidence-based approach is used for reporting and managing incidental findings, which will mean that harms are minimised and any programme is as cost-effective as possible.
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Affiliation(s)
- Emma L O'Dowd
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Ilona Tietzova
- Charles University, First Faculty of Medicine, Department of Tuberculosis and Respiratory Diseases, Prague, Czech Republic
| | - Emily Bartlett
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Anand Devaraj
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Jürgen Biederer
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
- University of Latvia, Faculty of Medicine, Riga, Latvia
- Christian-Albrechts-Universität zu Kiel, Faculty of Medicine, Kiel, Germany
| | - Marco Brambilla
- Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara, Novara, Italy
| | | | - Joanna Chorostowska
- Institute of Tuberculosis and Lung Diseases, Warsaw, Genetics and Clinical Immunology, Warsaw, Poland
| | | | - Dirk Deruysscher
- Maastricht University Medical Centre, Department of Radiation Oncology (MAASTRO Clinic), GROW-School for Oncology and Developmental Biology, Limburg, The Netherlands
| | - Walter De Wever
- Universitaire Ziekenhuizen Leuven, Radiology, Leuven, Belgium
| | | | - Aurelie Fabre
- University College Dublin School of Medicine, Histopathology, Dublin, Ireland
| | - Mina Gaga
- Sotiria General Hospital of Chest Diseases of Athens, 7th Respiratory Medicine Department, Athens, Greece
| | - Wouter van Geffen
- Medical Centre Leeuwarden, Department of Respiratory Medicine, Leeuwarden, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands
| | - Georgia Hardavella
- Sotiria General Hospital of Chest Diseases of Athens, Respiratory Medicine, Athens, Greece
| | - Hans-Ulrich Kauczor
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
| | - Anna Kerpel-Fronius
- National Koranyi Institute of Pulmonology, Department of Radiology, Budapest, Hungary
| | | | - Blin Nagavci
- Institute for Evidence in Medicine, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ursula Nestle
- Kliniken Maria Hilf GmbH Monchengladbach, Nordrhein-Westfalen, Germany
| | - Nuria Novoa
- University Hospital of Salamanca, Thoracic Surgery, Salamanca, Spain
| | - Helmut Prosch
- Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria
| | - Mathias Prokop
- Radboud University Nijmegen Medical Center, Department of Radiology, Nijmegen, The Netherlands
| | - Paul Martin Putora
- Kantonsspital Sankt Gallen, Radiation Oncology, Sankt Gallen, Switzerland
- Inselspital Universitatsspital Bern, Radiation Oncology, Bern, Switzerland
| | | | - Marie-Pierre Revel
- Cochin Hospital, APHP, Radiology Department, Paris, France
- Université de Paris, Paris, France
| | | | - Giulia Veronesi
- Humanitas Research Hospital, Division of Thoracic and General Surgery, Rozzano, Italy
| | | | - Sabine Weckbach
- UniversitatsKlinikum Heidelberg, Heidelberg, Germany
- Bayer AG, Research and Development, Pharmaceuticals, Radiology, Berlin, Germany
| | - Torsten G Blum
- HELIOS Klinikum Emil von Behring GmbH, Lungenklinik Heckeshorn, Berlin, Germany
| | - David R Baldwin
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
- Nottingham University Hospitals NHS Trust, Department of Respiratory Medicine, Nottingham, UK
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O'Dowd EL, Tietzova I, Bartlett E, Devaraj A, Biederer J, Brambilla M, Brunelli A, Chorostowska-Wynimko J, Decaluwe H, Deruysscher D, De Wever W, Donoghue M, Fabre A, Gaga M, van Geffen W, Hardavella G, Kauczor HU, Kerpel-Fronius A, van Meerbeeck J, Nagavci B, Nestle U, Novoa N, Prosch H, Prokop M, Putora PM, Rawlinson J, Revel MP, Snoeckx A, Veronesi G, Vliegenthart R, Weckbach S, Blum TG, Baldwin DR. ERS/ESTS/ESTRO/ESR/ESTI/EFOMP statement on management of incidental findings from low dose CT screening for lung cancer. Eur Respir J 2023; 62:2300533. [PMID: 37802631 DOI: 10.1183/13993003.00533-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/06/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Screening for lung cancer with low radiation dose computed tomography has a strong evidence base, is being introduced in several European countries and is recommended as a new targeted cancer screening programme. The imperative now is to ensure that implementation follows an evidence-based process that will ensure clinical and cost effectiveness. This European Respiratory Society (ERS) task force was formed to provide an expert consensus for the management of incidental findings which can be adapted and followed during implementation. METHODS A multi-European society collaborative group was convened. 23 topics were identified, primarily from an ERS statement on lung cancer screening, and a systematic review of the literature was conducted according to ERS standards. Initial review of abstracts was completed and full text was provided to members of the group for each topic. Sections were edited and the final document approved by all members and the ERS Science Council. RESULTS Nine topics considered most important and frequent were reviewed as standalone topics (interstitial lung abnormalities, emphysema, bronchiectasis, consolidation, coronary calcification, aortic valve disease, mediastinal mass, mediastinal lymph nodes and thyroid abnormalities). Other topics considered of lower importance or infrequent were grouped into generic categories, suitable for general statements. CONCLUSIONS This European collaborative group has produced an incidental findings statement that can be followed during lung cancer screening. It will ensure that an evidence-based approach is used for reporting and managing incidental findings, which will mean that harms are minimised and any programme is as cost-effective as possible.
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Affiliation(s)
- Emma L O'Dowd
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
| | - Ilona Tietzova
- Charles University, First Faculty of Medicine, Department of Tuberculosis and Respiratory Diseases, Prague, Czech Republic
| | - Emily Bartlett
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Anand Devaraj
- Royal Brompton and Harefield NHS Foundation Trust, Radiology, London, UK
| | - Jürgen Biederer
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
- University of Latvia, Faculty of Medicine, Riga, Latvia
- Christian-Albrechts-Universität zu Kiel, Faculty of Medicine, Kiel, Germany
| | - Marco Brambilla
- Azienda Ospedaliero-Universitaria Maggiore della Carità di Novara, Novara, Italy
| | | | | | | | - Dirk Deruysscher
- Maastricht University Medical Centre, Department of Radiation Oncology (MAASTRO Clinic), GROW-School for Oncology and Developmental Biology, Limburg, The Netherlands
| | - Walter De Wever
- Universitaire Ziekenhuizen Leuven, Radiology, Leuven, Belgium
| | | | - Aurelie Fabre
- University College Dublin School of Medicine, Histopathology, Dublin, Ireland
| | - Mina Gaga
- Sotiria General Hospital of Chest Diseases of Athens, 7th Respiratory Medicine Department, Athens, Greece
| | - Wouter van Geffen
- Medical Centre Leeuwarden, Department of Respiratory Medicine, Leeuwarden, The Netherlands
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases, Groningen, The Netherlands
| | - Georgia Hardavella
- Sotiria General Hospital of Chest Diseases of Athens, Respiratory Medicine, Athens, Greece
| | - Hans-Ulrich Kauczor
- University of Heidelberg, Diagnostic and Interventional Radiology, Heidelberg, Germany
- German Center for Lung Research DZL, Translational Lung Research Center TLRC, Heidelberg, Germany
| | - Anna Kerpel-Fronius
- National Koranyi Institute of Pulmonology, Department of Radiology, Budapest, Hungary
| | | | - Blin Nagavci
- Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Ursula Nestle
- Kliniken Maria Hilf GmbH Monchengladbach, Nordrhein-Westfalen, Germany
| | - Nuria Novoa
- University Hospital of Salamanca, Thoracic Surgery, Salamanca, Spain
| | - Helmut Prosch
- Medical University of Vienna, Department of Biomedical Imaging and Image-guided Therapy, Vienna, Austria
| | - Mathias Prokop
- Radboud University Nijmegen Medical Center, Department of Radiology, Nijmegen, The Netherlands
| | - Paul Martin Putora
- Kantonsspital Sankt Gallen, Radiation Oncology, Sankt Gallen, Switzerland
- Inselspital Universitatsspital Bern, Radiation Oncology, Bern, Switzerland
| | | | - Marie-Pierre Revel
- Cochin Hospital, APHP, Radiology Department, Paris, France
- Université de Paris, Paris, France
| | | | - Giulia Veronesi
- Humanitas Research Hospital, Division of Thoracic and General Surgery, Rozzano, Italy
| | | | - Sabine Weckbach
- UniversitatsKlinikum Heidelberg, Heidelberg, Germany
- Bayer AG, Research and Development, Pharmaceuticals, Radiology, Berlin, Germany
| | - Torsten G Blum
- HELIOS Klinikum Emil von Behring GmbH, Lungenklinik Heckeshorn, Berlin, Germany
| | - David R Baldwin
- Nottingham University Hospitals NHS Trust, Nottingham, UK
- University of Nottingham, Faculty of Medicine and Health Sciences, Nottingham, UK
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Lee JP, Na JB, Choi HC, Choi HY, Kim JE, Shin HS, Won JH, Jo SH, Hong SJ, Yang WJ, Kim YW, Koo BJ, Jang IS, Park MJ. Lobar emphysema ratio of more than 1% in the lobe with lung cancer as poor predictor for recurrence and overall survival in patients with stage I non-small cell lung cancer. PLoS One 2023; 18:e0281715. [PMID: 36787324 PMCID: PMC9928128 DOI: 10.1371/journal.pone.0281715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/30/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND The purpose of this study was to examine the relationship between the lobar emphysema ratio (LER) and tumor recurrence and survival in patients with stage I non-small cell lung cancer (NSCLC). METHODS We enrolled 258 patients with surgically proven stage I NSCLC. These patients underwent noncontrast chest CT, and pulmonary lobe segmentation and lobar emphysema quantification were performed using commercially available software. We assessed the LER in the lobe with lung cancer. We divided the patients into two groups according to the LER, and the cut-off value was 1. Furthermore, we analyzed the disease-free survival of high LER and other clinical factors after surgical resection. RESULTS The 258 patients were divided into two groups: low LER (n = 195) and high LER (n = 63). The right upper lobe was the most frequent location in lung cancer and the most severe location in emphysema. In the Kaplan‒Meier curve, high LER showed a significantly lower disease-free survival (8.21 ± 0.27 years vs 6.53 ± 0.60 years, p = 0.005) and overall survival (9.56 ± 0.15 years vs. 8.51 ± 0.49 years, p = 0.011) than low LER. Stage Ib (2.812 [1.661-4.762], p<0.001) and high LER (2.062 [1.191-3.571], p = 0.010) were poor predictors for disease-free survival in multivariate Cox regression analysis. Stage Ib (4.729 [1.674-13.356], p = 0.003) and high LER (3.346 [1.208-9.269], p = 0.020) were significant predictors for overall survival in multivariate Cox regression analysis. CONCLUSION A LER of more than 1% in the lobe with lung cancer is a poor predictor for cancer recurrence and overall survival in patients with stage I NSCLC.
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Affiliation(s)
- Jeong Pyo Lee
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Jae Bum Na
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Ho Cheol Choi
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Hye Young Choi
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Ji Eun Kim
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Hwa Seon Shin
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Jung Ho Won
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Sa Hong Jo
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Seok Jin Hong
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Won Jeong Yang
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Yang Won Kim
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Byeong Ju Koo
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - In Seok Jang
- Department of Cardiothoracic Surgery, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
| | - Mi Jung Park
- Department of Radiology, Gyeongsang National University School of Medicine, Gyeongsang National University Hospital, Jinju, Korea
- * E-mail:
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Peters AA, Weinheimer O, von Stackelberg O, Kroschke J, Piskorski L, Debic M, Schlamp K, Welzel L, Pohl M, Christe A, Ebner L, Kauczor H, Heußel CP, Wielpütz MO. Quantitative CT analysis of lung parenchyma to improve malignancy risk estimation in incidental pulmonary nodules. Eur Radiol 2022. [PMID: 36538071 PMCID: PMC10181968 DOI: 10.1007/s00330-022-09334-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/18/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
Abstract
Objectives
To assess the value of quantitative computed tomography (QCT) of the whole lung and nodule-bearing lobe regarding pulmonary nodule malignancy risk estimation.
Methods
A total of 251 subjects (median [IQR] age, 65 (57–73) years; 37% females) with pulmonary nodules on non-enhanced thin-section CT were retrospectively included. Twenty percent of the nodules were malignant, the remainder benign either histologically or at least 1-year follow-up. CT scans were subjected to in-house software, computing parameters such as mean lung density (MLD) or peripheral emphysema index (pEI). QCT variable selection was performed using logistic regression; selected variables were integrated into the Mayo Clinic and the parsimonious Brock Model.
Results
Whole-lung analysis revealed differences between benign vs. malignant nodule groups in several parameters, e.g. the MLD (−766 vs. −790 HU) or the pEI (40.1 vs. 44.7 %). The proposed QCT model had an area-under-the-curve (AUC) of 0.69 (95%-CI, 0.62−0.76) based on all available data. After integrating MLD and pEI into the Mayo Clinic and Brock Model, the AUC of both clinical models improved (AUC, 0.91 to 0.93 and 0.88 to 0.91, respectively). The lobe-specific analysis revealed that the nodule-bearing lobes had less emphysema than the rest of the lung regarding benign (EI, 0.5 vs. 0.7 %; p < 0.001) and malignant nodules (EI, 1.2 vs. 1.7 %; p = 0.001).
Conclusions
Nodules in subjects with higher whole-lung metrics of emphysema and less fibrosis are more likely to be malignant; hereby the nodule-bearing lobes have less emphysema. QCT variables could improve the risk assessment of incidental pulmonary nodules.
Key Points
• Nodules in subjects with higher whole-lung metrics of emphysema and less fibrosis are more likely to be malignant.
• The nodule-bearing lobes have less emphysema compared to the rest of the lung.
• QCT variables could improve the risk assessment of incidental pulmonary nodules.
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Tisi S, Dickson JL, Horst C, Quaife SL, Hall H, Verghese P, Gyertson K, Bowyer V, Levermore C, Mullin AM, Teague J, Farrelly L, Nair A, Devaraj A, Hackshaw A, Hurst JR, Janes SM. Detection of COPD in the SUMMIT Study lung cancer screening cohort using symptoms and spirometry. Eur Respir J 2022; 60:2200795. [PMID: 35896207 PMCID: PMC10436757 DOI: 10.1183/13993003.00795-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 06/13/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND COPD is a major comorbidity in lung cancer screening (LCS) cohorts, with a high prevalence of undiagnosed COPD. Combining symptom assessment with spirometry in this setting may enable earlier diagnosis of clinically significant COPD and facilitate increased understanding of lung cancer risk in COPD. In this study, we wished to understand the prevalence, severity, clinical phenotype and lung cancer risk of individuals with symptomatic undiagnosed COPD in a LCS cohort. METHODS 16 010 current or former smokers aged 55-77 years attended a lung health check as part of the SUMMIT Study. A respiratory consultation and spirometry were performed alongside LCS eligibility assessment. Those with symptoms, no previous COPD diagnosis and airflow obstruction were labelled as undiagnosed COPD. Baseline low-dose computed tomography (LDCT) was performed in those at high risk of lung cancer (PLCOm2012 score ≥1.3% and/or meeting USPSTF 2013 criteria). RESULTS Nearly one in five (19.7%) met criteria for undiagnosed COPD. Compared with those previously diagnosed, those undiagnosed were more likely to be male (59.1% versus 53.2%; p<0.001), currently smoking (54.9% versus 47.6%; p<0.001) and from an ethnic minority group (p<0.001). Undiagnosed COPD was associated with less forced expiratory volume in 1 s impairment (Global Initiative for Chronic Obstructive Lung Disease (GOLD) grades 1 and 2: 85.3% versus 68.4%; p<0.001) and lower symptom/exacerbation burden (GOLD A and B groups: 95.6% versus 77.9%; p<0.001) than those with known COPD. Multivariate analysis demonstrated that airflow obstruction was an independent risk factor for lung cancer risk on baseline LDCT (adjusted OR 2.74, 95% CI 1.73-4.34; p<0.001), with a high risk seen in those with undiagnosed COPD (adjusted OR 2.79, 95% CI 1.67-4.64; p<0.001). CONCLUSIONS Targeted case-finding within LCS detects high rates of undiagnosed symptomatic COPD in those most at risk. Individuals with undiagnosed COPD are at high risk for lung cancer.
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Affiliation(s)
- Sophie Tisi
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Jennifer L Dickson
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Carolyn Horst
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Samantha L Quaife
- Centre for Prevention, Detection and Diagnosis, Wolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Helen Hall
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Priyam Verghese
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Kylie Gyertson
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Vicky Bowyer
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Claire Levermore
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Anne-Marie Mullin
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - Jonathan Teague
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - Laura Farrelly
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - Arjun Nair
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Anand Devaraj
- Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | - Allan Hackshaw
- Cancer Research UK and UCL Cancer Trials Centre, University College London, London, UK
| | - John R Hurst
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
| | - Sam M Janes
- Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
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Lee HW, Lee HJ, Lee JK, Park TY, Heo EY, Kim DK. Rapid FEV1 Decline and Lung Cancer Incidence in South Korea. Chest 2022; 162:466-474. [DOI: 10.1016/j.chest.2022.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 03/02/2022] [Accepted: 03/06/2022] [Indexed: 11/17/2022] Open
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Yang X, Wisselink HJ, Vliegenthart R, Heuvelmans MA, Groen HJM, Vonder M, Dorrius MD, de Bock GH. Association between Chest CT-defined Emphysema and Lung Cancer: A Systematic Review and Meta-Analysis. Radiology 2022; 304:322-330. [PMID: 35503012 DOI: 10.1148/radiol.212904] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Background Given the different methods of assessing emphysema, controversy exists as to whether it is associated with lung cancer. Purpose To perform a systematic review and meta-analysis of the association between chest CT-defined emphysema and the presence of lung cancer. Materials and Methods The PubMed, Embase, and Cochrane databases were searched up to July 15, 2021, to identify studies on the association between emphysema assessed visually or quantitatively with CT and lung cancer. Associations were determined by emphysema severity (trace, mild, or moderate to severe, assessed visually and quantitatively) and subtype (centrilobular and paraseptal, assessed visually). Overall and stratified pooled odds ratios (ORs) with their 95% CIs were obtained. Results Of the 3343 screened studies, 21 studies (107 082 patients) with 26 subsets were included. The overall pooled ORs for lung cancer given the presence of emphysema were 2.3 (95% CI: 2.0, 2.6; I2 = 35%; 19 subsets) and 1.02 (95% CI: 1.01, 1.02; six subsets) per 1% increase in low attenuation area. Studies with visual (pooled OR, 2.3; 95% CI: 1.9, 2.6; I2 = 48%; 12 subsets) and quantitative (pooled OR, 2.2; 95% CI: 1.8, 2.8; I2 = 3.7%; eight subsets) assessments yielded comparable results for the dichotomous assessment. Based on six studies (1716 patients), the pooled ORs for lung cancer increased with emphysema severity and were higher for visual assessment (2.5, 3.7, and 4.5 for trace, mild, and moderate to severe, respectively) than for quantitative assessment (1.9, 2.2, and 2.5) based on point estimates. Compared with no emphysema, only centrilobular emphysema (three studies) was associated with lung cancer (pooled OR, 2.2; 95% CI: 1.5, 3.2; P < .001). Conclusion Both visual and quantitative CT assessments of emphysema were associated with a higher odds of lung cancer, which also increased with emphysema severity. Regarding subtype, only centrilobular emphysema was significantly associated with lung cancer. Clinical trial registration no. CRD42021262163 © RSNA, 2022 See also the editorial by Hunsaker in this issue. Online supplemental material is available for this article.
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Affiliation(s)
- Xiaofei Yang
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
| | - Hendrik Joost Wisselink
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
| | - Rozemarijn Vliegenthart
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
| | - Marjolein A Heuvelmans
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
| | - Harry J M Groen
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
| | - Marleen Vonder
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
| | - Monique D Dorrius
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
| | - Geertruida H de Bock
- From the Departments of Epidemiology (X.Y., M.A.H., M.V., M.D.D., G.H.d.B.), Radiology (H.J.W., R.V., M.D.D.), and Pulmonary Diseases (H.J.M.G.), University Medical Center Groningen, University of Groningen, 9700 RB Groningen, the Netherlands
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Hunsaker AR. Emphysema as a Predictor of Lung Cancer: Implications for Lung Cancer Screening. Radiology 2022; 304:331-332. [PMID: 35503019 DOI: 10.1148/radiol.220697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Andetta R Hunsaker
- From the Department of Radiology, Brigham and Women's Hospital, 75 Francis St, Boston, MA 02115
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PERROTTA F, D’AGNANO V, SCIALÒ F, KOMICI K, ALLOCCA V, NUCERA F, SALVI R, STELLA GM, BIANCO A. Evolving concepts in COPD and lung cancer: a narrative review. Minerva Med 2022; 113:436-448. [DOI: 10.23736/s0026-4806.22.07962-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Tubío-Pérez RA, Torres-Durán M, Pérez-Ríos M, Fernández-Villar A, Ruano-Raviña A. Lung emphysema and lung cancer: what do we know about it? Ann Transl Med 2020; 8:1471. [PMID: 33313216 PMCID: PMC7723574 DOI: 10.21037/atm-20-1180] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Emphysema and lung cancer (LC) are two diseases which share common risk factors, e.g., smoking. In recent years, many studies have sought to analyse this association. By way of illustration, we conducted a review of the scientific literature of the studies published to date, whose main designated aim was to demonstrate the relationship between emphysema and LC, and this association's influence on the histology, prognosis and molecular mechanisms responsible. We included over 40 studies (ranging from case-control and cohort studies to systematic reviews and meta-analyses), which highlight the association between emphysema and LC, independently of smoking habit. These studies also report a possible influence on histology, with adenocarcinoma being the most frequent lineage, and an association with poor prognosis, which affects both survival and post-operative complications. Oxidative stress, which generates chronic inflammatory status as well as the presence of certain polymorphisms in various genes (CYP1A1, TERT, CLPTM1L, ERK), gives rise-in the case of patients with emphysema-to alteration of cellular repair mechanisms, which in turn favours the proliferation of neoplastic epithelial cells responsible for the origin of LC.
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Affiliation(s)
- Ramón A Tubío-Pérez
- Pulmonary Department, Hospital Álvaro Cunqueiro, EOXI, Vigo, Spain.,NeumoVigoI+i Research Group, Vigo Biomedical Research Institute (IBIV), Galicia, Spain
| | - María Torres-Durán
- Pulmonary Department, Hospital Álvaro Cunqueiro, EOXI, Vigo, Spain.,NeumoVigoI+i Research Group, Vigo Biomedical Research Institute (IBIV), Galicia, Spain
| | - Mónica Pérez-Ríos
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain.,CIBER de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain
| | - Alberto Fernández-Villar
- Pulmonary Department, Hospital Álvaro Cunqueiro, EOXI, Vigo, Spain.,NeumoVigoI+i Research Group, Vigo Biomedical Research Institute (IBIV), Galicia, Spain
| | - Alberto Ruano-Raviña
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain.,CIBER de Epidemiología y Salud Pública, CIBERESP, Madrid, Spain
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Amundson WH, Swanson EJ, Petersen A, Bell BJ, Hatt C, Wendt CH. Quantification of Perinodular Emphysema in High-risk Patients Offers No Benefit in Lung Nodule Risk-Stratification of Malignancy Potential. J Thorac Imaging 2020; 35:108-14. [PMID: 31876554 DOI: 10.1097/RTI.0000000000000465] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
PURPOSE Pulmonary nodules, found either incidentally or on lung cancer screening, are common. Evaluating the benign or malignant nature of these nodules is costly in terms of patient risk and expense. The presence of both global and regional emphysema has been linked to increased lung cancer risk. We sought to determine whether the measurement of emphysema directly adjacent to a lung nodule could inform the likelihood of a nodule being malignant. MATERIALS AND METHODS Within a population of Veterans at high risk for lung cancer, 58 subjects with malignant nodules found on computerized tomographic chest scans were matched by lobe and nodule size to 58 controls. Lung densitometry was measured via determination of the low attenuation area percentage at -950 Hounsfield units (LAA950) and the Hounsfield unit (HU) value at which 15% of lung voxels have a lower lung density (Perc15), at predefined lung volumes that encompassed the nodule to evaluate both perinodular and regional lung fields. The association between measured lung density and malignancy was investigated using conditional logistic regression models, with densitometry measurements used as the primary predictor, adjusting for age alone, or age and computerized tomographic scan characteristics. RESULTS No significant differences in emphysema measurements between malignant and benign nodules were identified at lung volumes encompassing both perinodular and regional emphysema. Furthermore, emphysema quantification remained stable across lung volumes within individuals. CONCLUSIONS In this study, quantifying the degree of perinodular or regional emphysema did not offer any benefit in the risk stratification of lung nodules.
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13
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Heo JW, Kang HS, Park CK, Kim SK, Kim JS, Kim JW, Kim SJ, Lee SH, Yeo CD. Regional emphysema score is associated with tumor location and poor prognosis in completely resected NSCLC patients. BMC Pulm Med 2020; 20:242. [PMID: 32917179 PMCID: PMC7488536 DOI: 10.1186/s12890-020-01268-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 08/19/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Lung cancer is a frequent comorbidity of chronic obstructive pulmonary disease (COPD). However, the local risk of developing lung cancer related to regional emphysema distribution and clinical outcome has not been investigated. Our aim was to evaluate the impact of regional emphysema score (RES) on tumor location and prognosis in non-small cell lung cancer (NSCLC) patients. METHODS We enrolled 457 patients who underwent curative surgery for NSCLC at seven hospitals at The Catholic University of Korea from 2014 to 2018. Emphysema was visually assessed for each lobe, with the lingula as a separate lobe. Semi-quantitative emphysema scoring was classified as follows: 0 = none, 0.5 = 1 to 10%, 1 = 11 to 25%, 2 = 26 to 50%, 3 = 51 to 75%, and 4 = 76 to 100%. An RES was given to each of the six lung zone: the upper, middle, and lower lobes in the right and left lungs. RESULTS There were 145 patients in the high RES (≥ 3) group and 312 in the low RES (< 3) group. The mean RES in each lobe with cancer was significantly higher than that in other lobes without cancer (0.51 vs. 0.37, P < 0.001). This group showed significantly shorter disease-free survival (P < 0.001), in addition, presence of COPD, low diffusing capacity of the lung for carbon monoxide (< 80), smoking status, and poor differentiation were more frequent in this group. Also, cancer in a lobe with a higher RES (odds ratio (OR) = 1.56; 95% confidence interval (CI:1.01-2.42; P = 0.04), pathologic stage ≥ III (OR = 2.23; 95% CI: 1.28-3.89; P < 0.001), and poor differentiation (OR = 1.99; 95% CI: 1.22-3.21; P < 0.001) were independent factors for tumor recurrence. CONCLUSIONS The regional severity of emphysema by visual qualification was associated with the location of lung cancer, and was an independently poor prognostic factor for tumor recurrence in completely resected NSCLC patients.
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Affiliation(s)
- Jung Won Heo
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 1021, Tongil-ro, Eunpyeong-gu, Seoul, 03312, Republic of Korea
| | - Hye Seon Kang
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chan Kwon Park
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sung Kyoung Kim
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ju Sang Kim
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jin Woo Kim
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seung Joon Kim
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sang Haak Lee
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 1021, Tongil-ro, Eunpyeong-gu, Seoul, 03312, Republic of Korea
| | - Chang Dong Yeo
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 1021, Tongil-ro, Eunpyeong-gu, Seoul, 03312, Republic of Korea.
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Surien O, Ghazali AR, Masre SF. Histopathological effect of pterostilbene as chemoprevention in N-nitroso-tri-chloroethylurea (NTCU)-induced lung squamous cell carcinoma (SCC) mouse model. Histol Histopathol 2020; 35:1159-1170. [PMID: 32893871 DOI: 10.14670/hh-18-247] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Lung cancer is the leading cause of cancer-related deaths, and squamous cell carcinoma (SCC) is one of the most common types of lung cancer. Chemoprevention of lung cancer has gained increasing popularity as an alternative to treatment in reducing the burden of lung cancer. Pterostilbene (PS) may be developed as a chemopreventive agent due to its pharmacological activities, such as anti-proliferative, anti-inflammatory and antioxidant properties. This study aimed to investigate the effect of PS on the development of lung SCC in the mouse model. METHODS A total of 24 seven-week-old female Balb/C mice were randomly categorised into four groups, including two control groups comprising the N-nitroso-trischloroethylurea (NTCU)-induced lung SCC and vehicle control (VC) groups and two treatment groups comprising the 10mg/kg PS (PS10) and 50mg/kg PS (PS50) groups. All lung organs were harvested at week 26 for histopathological analysis. RESULTS All PS treatment groups showed chemopreventive activity by inhibiting the progression of lung SCC formation with PS10, resulting in mild hyperplasia, and PS50 was completely reversed in the normal bronchial epithelium layer compared with the VC group. PS treatment also reduced the expression of cytokeratin 5/6 in the bronchial epithelium layer. Both PS10 and PS50 significantly reduced the epithelium thickness compared to the NTCU group (p<0.05). PS is a potential chemopreventive agent against lung SCC growth by suppressing the progression of pre-malignant lesions and reducing the thickness of the bronchial epithelium. CONCLUSIONS The underlying molecular mechanisms of PS in lung SCC should be further studied.
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Affiliation(s)
- Omchit Surien
- Biomedical Science Programme, Centre for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur
| | - Ahmad Rohi Ghazali
- Biomedical Science Programme, Centre for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur
| | - Siti Fathiah Masre
- Biomedical Science Programme, Centre for Toxicology and Health Risk Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia (UKM), Kuala Lumpur.
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Durawa A, Dziadziuszko K, Jelitto-Górska M, Szurowska E. Emphysema - The review of radiological presentation and its clinical impact in the LDCT screening era. Clin Imaging 2020; 64:85-91. [PMID: 32388002 DOI: 10.1016/j.clinimag.2020.04.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/24/2020] [Accepted: 04/07/2020] [Indexed: 12/17/2022]
Abstract
Emphysema is one of three main lung pathologies in Chronic Obstructive Pulmonary Disease, along with chronic bronchitis and small airway obstruction. The diagnosis is based on detection of low attenuation areas in lung tissue on chest Computed Tomography, either visual by a radiologist, or automatic by the applied Computed Tomography software. Results of the studies on the association between emphysema and lung cancer incidence are mixed. Many studies have demonstrated, that chronic lung diseases, like Chronic Obstructive Pulmonary Disease, are associated with lung cancer morbidity. There is also evidence, that emphysema can be related with worse prognosis in patients with detected lung cancer. In this review article we aim to summarize current knowledge about emphysema detection and evaluation on Computed Tomography, both quantitative and qualitative. We also summarize current data on correlation between emphysema and lung cancer, as well as its potential use in selecting patients, who would most benefit from lung cancer screening.
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Affiliation(s)
- Agata Durawa
- 2nd Department of Radiology, Medical University of Gdansk, ul. Smoluchowskiego 17, 80-001 Gdansk, Poland.
| | - Katarzyna Dziadziuszko
- 2nd Department of Radiology, Medical University of Gdansk, ul. Smoluchowskiego 17, 80-001 Gdansk, Poland
| | - Małgorzata Jelitto-Górska
- 2nd Department of Radiology, Medical University of Gdansk, ul. Smoluchowskiego 17, 80-001 Gdansk, Poland
| | - Edyta Szurowska
- 2nd Department of Radiology, Medical University of Gdansk, ul. Smoluchowskiego 17, 80-001 Gdansk, Poland
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González J, Henschke CI, Yankelevitz DF, Seijo LM, Reeves AP, Yip R, Xie Y, Chung M, Sánchez-Salcedo P, Alcaide AB, Campo A, Bertó J, del Mar Ocón M, Pueyo J, Bastarrika G, de-Torres JP, Zulueta JJ. Emphysema phenotypes and lung cancer risk. PLoS One 2019; 14:e0219187. [PMID: 31344121 PMCID: PMC6657833 DOI: 10.1371/journal.pone.0219187] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Accepted: 06/18/2019] [Indexed: 12/18/2022] Open
Abstract
Background To assess the relationship between lung cancer and emphysema subtypes. Objective Airflow obstruction and emphysema predispose to lung cancer. Little is known, however, about the lung cancer risk associated with different emphysema phenotypes. We assessed the risk of lung cancer based on the presence, type and severity of emphysema, using visual assessment. Methods Seventy-two consecutive lung cancer cases were selected from a prospective cohort of 3,477 participants enrolled in the Clínica Universidad de Navarra’s lung cancer screening program. Each case was matched to three control subjects using age, sex, smoking history and body mass index as key variables. Visual assessment of emphysema and spirometry were performed. Logistic regression and interaction model analysis were used in order to investigate associations between lung cancer and emphysema subtypes. Results Airflow obstruction and visual emphysema were significantly associated with lung cancer (OR = 2.8, 95%CI: 1.6 to 5.2; OR = 5.9, 95%CI: 2.9 to 12.2; respectively). Emphysema severity and centrilobular subtype were associated with greater risk when adjusted for confounders (OR = 12.6, 95%CI: 1.6 to 99.9; OR = 34.3, 95%CI: 25.5 to 99.3, respectively). The risk of lung cancer decreases with the added presence of paraseptal emphysema (OR = 4.0, 95%CI: 3.6 to 34.9), losing this increased risk of lung cancer when it occurs alone (OR = 0.7, 95%CI: 0.5 to 2.6). Conclusions Visual scoring of emphysema predicts lung cancer risk. The centrilobular phenotype is associated with the greatest risk.
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Affiliation(s)
- Jessica González
- Pulmonary Service, Clínica Universidad de Navarra, Pamplona, Spain
| | - Claudia I. Henschke
- Department of Radiology Mount Sinai School of Medicine, NY, United States of America
| | - David F. Yankelevitz
- Department of Radiology Mount Sinai School of Medicine, NY, United States of America
| | - Luis M. Seijo
- Pulmonary Service, Clínica Universidad de Navarra, Pamplona, Spain
| | - Anthony P. Reeves
- School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States of America
- D4Vision, Inc, Ithaca, NY, United States of America
| | - Rowena Yip
- Department of Radiology Mount Sinai School of Medicine, NY, United States of America
| | - Yiting Xie
- School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States of America
| | - Michael Chung
- Department of Radiology Mount Sinai School of Medicine, NY, United States of America
| | | | - Ana B. Alcaide
- Pulmonary Service, Clínica Universidad de Navarra, Pamplona, Spain
| | - Aranzazu Campo
- Pulmonary Service, Clínica Universidad de Navarra, Pamplona, Spain
| | - Juan Bertó
- Pulmonary Service, Clínica Universidad de Navarra, Pamplona, Spain
| | | | - Jesus Pueyo
- Radiology Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - Gorka Bastarrika
- Radiology Department, Clínica Universidad de Navarra, Pamplona, Spain
| | - Juan P. de-Torres
- Pulmonary Service, Clínica Universidad de Navarra, Pamplona, Spain
- Navarra’s Health Research Institute (IDISNA), Pamplona, Spain
| | - Javier J. Zulueta
- Pulmonary Service, Clínica Universidad de Navarra, Pamplona, Spain
- Navarra’s Health Research Institute (IDISNA), Pamplona, Spain
- CIBERONC, ISCIII, Madrid, Spain
- VisionGate, Inc, Phoenix, Arizona, United States of America
- * E-mail:
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Abstract
PURPOSE OF REVIEW Chronic obstructive pulmonary disease (COPD) is a well established risk factor for lung cancer. Newer studies reveal a myriad of other mechanisms, some proven and some putative, which may contribute to their association. RECENT FINDINGS There is an ever-growing bundle of evidence that suggests a close association between persistent chronic inflammation and lung cancer. A few potential targets of genetic susceptibility locus for COPD and lung cancer have been suggested. Better characterization of immune dysregulation and identification of signaling pathways may assist the development of strategies to reduce risk of developing lung cancer in patients with COPD. Current lung cancer screening strategies may exclude some patients at high risk of having lung cancer. Prospective studies indicate that a screening criterion that includes variables reflecting the severity of COPD may increase the sensitivity of the screening program and reduce 'over-diagnosis bias' of indolent lung cancers. Examples of such variables include the emphysema score generated from computed tomography scans and diffusion capacity for carbon monoxide derived from lung function tests. SUMMARY A better understanding of the inter-relationship between lung cancer pathogenesis and COPD has been described recently. Improving lung cancer screening strategies by incorporating markers of COPD severity has recently been proposed.
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Affiliation(s)
- Abhishek Biswas
- Division of Pulmonary and Critical Care Medicine, University of Florida, Florida
| | - Hiren J Mehta
- Division of Pulmonary and Critical Care Medicine, University of Florida, Florida
| | - Erik E Folch
- Complex Chest Disease Center, Massachusetts General Hospital, Massachusetts, USA
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Zamarrón E, Prats E, Tejero E, Pardo P, Galera R, Casitas R, Martínez-Cerón E, Romera D, Jaureguizar A, García-Río F. Static lung hyperinflation is an independent risk factor for lung cancer in patients with chronic obstructive pulmonary disease. Lung Cancer 2018; 128:40-46. [PMID: 30642451 DOI: 10.1016/j.lungcan.2018.12.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Accepted: 12/13/2018] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Static hyperinflation, a hallmark characteristic of some patients with chronic obstructive pulmonary disease, is related to higher mortality and cardiovascular morbidity. However, information about its association with lung cancer is scarce. Our aim was to evaluate whether static hyperinflation is associated with future risk of lung cancer in COPD patients. METHODS A cohort of 848 COPD patients recruited outside the hospital setting was monitored for an average period of 4.3 years, totaling 2858 person-years, regarding diagnosis of cancer of any origin or lung cancer. Static hyperinflation was defined by functional residual capacity measured by plethysmography greater than 120% of the predicted value. RESULTS The incidence rates for cancer of any origin and lung cancer were 16.0 (95%CI, 15.1-17.8) and 8.7 (95%CI, 7.7-9.8) per 1000 patient-years, respectively. Among the patients with lung cancer, non-small cell lung cancer predominated (88%). In a stepwise multivariate Cox regression model, body mass index (BMI), pack-years, Charlson index, and postbronchodilator FEV1/FVC ratio were retained as independent predictors of cancer of any origin. In contrast, features associated with a future risk of lung cancer included older age, low BMI, increased pack-years and presence of static hyperinflation (adjusted hazard ratio: 4.617, 95%CI: 1.007-21.172, p = 0.049). CONCLUSION In a general COPD outpatient population, static hyperinflation is an independent risk factor for the development of lung cancer, which might contribute towards justifying the excess mortality identified in COPD patients with hyperinflation.
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Affiliation(s)
- Ester Zamarrón
- Servicio de Neumología, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain
| | - Eva Prats
- Sección de Neumología, Hospital Universitario de Fuenlabrada, Fuenlabrada, Spain
| | - Elena Tejero
- Servicio de Urgencias, Hospital Universitario de Fuenlabrada, Fuenlabrada, Spain
| | - Paloma Pardo
- Servicio de Urgencias, Hospital Universitario de Fuenlabrada, Fuenlabrada, Spain
| | - Raúl Galera
- Servicio de Neumología, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Raquel Casitas
- Servicio de Neumología, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Elisabet Martínez-Cerón
- Servicio de Neumología, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Delia Romera
- Servicio de Neumología, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain
| | - Ana Jaureguizar
- Servicio de Neumología, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain
| | - Francisco García-Río
- Servicio de Neumología, Hospital Universitario La Paz, IdiPAZ, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Madrid, Spain; Facultad de Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
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Lynch DA, Moore CM, Wilson C, Nevrekar D, Jennermann T, Humphries SM, Austin JHM, Grenier PA, Kauczor HU, Han MK, Regan EA, Make BJ, Bowler RP, Beaty TH, Curran-Everett D, Hokanson JE, Curtis JL, Silverman EK, Crapo JD. CT-based Visual Classification of Emphysema: Association with Mortality in the COPDGene Study. Radiology 2018; 288:859-866. [PMID: 29762095 PMCID: PMC6122195 DOI: 10.1148/radiol.2018172294] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
Purpose To determine whether visually assessed patterns of emphysema at CT might provide a simple assessment of mortality risk among cigarette smokers. Materials and Methods Of the first 4000 cigarette smokers consecutively enrolled between 2007 and 2011 in this COPDGene study, 3171 had data available for both visual emphysema CT scores and survival. Each CT scan was retrospectively visually scored by two analysts using the Fleischner Society classification system. Severity of emphysema was also evaluated quantitatively by using percentage lung volume occupied by low-attenuation areas (voxels with attenuation of −950 HU or less) (LAA-950). Median duration of follow-up was 7.4 years. Regression analysis for the relationship between imaging patterns and survival was based on the Cox proportional hazards model, with adjustment for age, race, sex, height, weight, pack-years of cigarette smoking, current smoking status, educational level, LAA-950, and (in a second model) forced expiratory volume in 1 second (FEV1). Results Observer agreement in visual scoring was good (weighted κ values, 0.71–0.80). There were 519 deaths in the study cohort. Compared with subjects who did not have visible emphysema, mortality was greater in those with any grade of emphysema beyond trace (adjusted hazard ratios, 1.7, 2.5, 5.0, and 4.1, respectively, for mild centrilobular emphysema, moderate centrilobular emphysema, confluent emphysema, and advanced destructive emphysema, P < .001). This increased mortality generally persisted after adjusting for LAA-950. Conclusion The visual presence and severity of emphysema is associated with significantly increased mortality risk, independent of the quantitative severity of emphysema. Online supplemental material is available for this article.
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Affiliation(s)
- David A Lynch
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Camille M Moore
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Carla Wilson
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Dipti Nevrekar
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Theodore Jennermann
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Stephen M Humphries
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - John H M Austin
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Philippe A Grenier
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Hans-Ulrich Kauczor
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - MeiLan K Han
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Elizabeth A Regan
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Barry J Make
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Russell P Bowler
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Terri H Beaty
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Douglas Curran-Everett
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - John E Hokanson
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Jeffrey L Curtis
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - Edwin K Silverman
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
| | - James D Crapo
- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
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- From the Department of Radiology (D.A.L., D.N., T.J., S.M.H.), Division of Biostatistics (C.M.M., C.W., D.C.E.), and Department of Medicine (E.A.R., B.J.M., R.P.B., J.D.C.), National Jewish Health, 1400 Jackson St, Denver, CO 80206; Department of Radiology, Columbia University Medical Center, New York, NY (J.H.M.A.); Department of Diagnostic Radiology, Hôpital Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Sorbonne Universités, Paris, France (P.A.G.); Department of Diagnostic and Interventional Radiology, University of Heidelberg, Translational Lung Research Center Heidelberg, Heidelberg, Germany (H.U.K.); Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Mich (M.K.H., J.L.C.); Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Md (T.H.B.); Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colo (J.E.H.); Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Mich (J.L.C.); and Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass (E.K.S.)
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Donovan EK, Swaminath A. Stereotactic body radiation therapy (SBRT) in the management of non-small-cell lung cancer: Clinical impact and patient perspectives. Lung Cancer (Auckl) 2018; 9:13-23. [PMID: 29588624 PMCID: PMC5859907 DOI: 10.2147/lctt.s129833] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Stereotactic body radiation therapy (SBRT) has emerged as a new technology in radiotherapy delivery, allowing for potentially curative treatment in many patients previously felt not to be candidates for radical surgical resection of stage I non-small-cell lung cancer (NSCLC). Several studies have demonstrated very high local control rates using SBRT, and more recent data have suggested overall survival may approach that of surgery in operable patients. However, SBRT is not without unique toxicities, and the balance of toxicity, and effect on patient-reported quality of life need to be considered with respect to oncologic outcomes. We therefore aim to review SBRT in the context of important patient-related factors, including quality of life in several domains (and in comparison to other therapies such as conventional radiation, surgery, or no treatment). We will also describe scenarios in which SBRT may be reasonably offered (i.e. elderly patients and those with severe COPD), and where it may need to be approached with some caution due to increased risks of toxicity (i.e. tumor location, patients with interstitial lung disease). In total, we hope to characterize the physical, emotional, and functional consequences of SBRT, in relation to other management strategies, in order to aid the clinician in deciding whether SBRT is the optimal treatment choice for each patient with early stage NSCLC.
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Affiliation(s)
- Elysia K Donovan
- Department of Oncology, McMaster University, Hamilton, ON, Canada.,Juravinski Cancer Centre at Hamilton Health Sciences, Hamilton, ON, Canada
| | - Anand Swaminath
- Department of Oncology, McMaster University, Hamilton, ON, Canada.,Juravinski Cancer Centre at Hamilton Health Sciences, Hamilton, ON, Canada
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Carr LL, Jacobson S, Lynch DA, Foreman MG, Flenaugh EL, Hersh CP, Sciurba FC, Wilson DO, Sieren JC, Mulhall P, Kim V, Kinsey CM, Bowler RP. Features of COPD as Predictors of Lung Cancer. Chest 2018; 153:1326-1335. [PMID: 29452098 DOI: 10.1016/j.chest.2018.01.049] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Revised: 01/09/2018] [Accepted: 01/26/2018] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Lung cancer is a leading cause of death and hospitalization for patients with COPD. A detailed understanding of which clinical features of COPD increase risk is needed. METHODS We performed a nested case-control study of Genetic Epidemiology of COPD (COPDGene) Study subjects with and without lung cancer, age 45 to 80 years, who smoked at least 10-pack years to identify clinical and imaging features of smokers, with and without COPD, that are associated with an increased risk of lung cancer. The baseline evaluation included spirometry, high-resolution chest CT scanning, and respiratory questionnaires. New lung cancer diagnoses were identified over 8 years of longitudinal follow-up. Cases of lung cancer were matched 1:4 with control subjects for age, race, sex, and smoking history. Multiple logistic regression analyses were used to determine features predictive of lung cancer. RESULTS Features associated with a future risk of lung cancer included decreased FEV1/FVC (OR, 1.28 per 10% decrease [95% CI, 1.12-1.46]), visual severity of emphysema (OR, 2.31, none-trace vs mild-advanced [95% CI, 1.41-3.86]), and respiratory exacerbations prior to study entry (OR, 1.39 per increased events [0, 1, and ≥ 2] [95% CI, 1.04-1.85]). Respiratory exacerbations were also associated with small-cell lung cancer histology (OR, 3.57 [95% CI, 1.47-10]). CONCLUSIONS The degree of COPD severity, including airflow obstruction, visual emphysema, and respiratory exacerbations, was independently predictive of lung cancer. These risk factors should be further studied as inclusion and exclusion criteria for the survival benefit of lung cancer screening. Studies are needed to determine if reduction in respiratory exacerbations among smokers can reduce the risk of lung cancer.
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Affiliation(s)
- Laurie L Carr
- Department of Medicine, National Jewish Health, Denver, CO.
| | - Sean Jacobson
- Department of Medicine, National Jewish Health, Denver, CO
| | - David A Lynch
- Department of Radiology, National Jewish Health, Denver, CO
| | - Marilyn G Foreman
- Division of Pulmonary and Critical Care, Morehouse School of Medicine, Atlanta, GA
| | - Eric L Flenaugh
- Division of Pulmonary and Critical Care, Morehouse School of Medicine, Atlanta, GA
| | - Craig P Hersh
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
| | - Frank C Sciurba
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - David O Wilson
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | | | - Patrick Mulhall
- Division of Pulmonary and Critical Care Medicine, Temple University Hospital, Philadelphia, PA
| | - Victor Kim
- Division of Pulmonary and Critical Care Medicine, Temple University Hospital, Philadelphia, PA
| | - C Matthew Kinsey
- Division of Pulmonary and Critical Care, University of Vermont College of Medicine, Burlington, VT
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22
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Dai J, Yang P, Cox A, Jiang G. Lung cancer and chronic obstructive pulmonary disease: From a clinical perspective. Oncotarget 2017; 8:18513-18524. [PMID: 28061470 PMCID: PMC5392346 DOI: 10.18632/oncotarget.14505] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 12/27/2016] [Indexed: 12/18/2022] Open
Abstract
Chronic obstructive pulmonary disease (COPD) and lung cancer are devastating pulmonary diseases that commonly coexist and present a number of clinical challenges. COPD confers a higher risk for lung cancer development, but available chemopreventive measures remain rudimentary. Current studies have shown a marked benefit of cancer screening in the COPD population, although challenges remain, including the common underdiagnosis of COPD. COPD-associated lung cancer presents distinct clinical features. Treatment for lung cancer coexisting with COPD is challenging as COPD may increase postoperative morbidities and decrease survival. In this review, we outline current progress in the understanding of the clinical association between COPD and lung cancer, and suggest possible cancer prevention strategies in this patient population.
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Affiliation(s)
- Jie Dai
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ping Yang
- Department of Health Sciences Research, Division of Epidemiology, Mayo Clinic, Minnesota, United States of America
| | - Angela Cox
- Department of Oncology, University of Sheffield Medical School, Sheffield, United Kingdom
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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23
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Dai J, Liu M, Swensen SJ, Stoddard SM, Wampfler JA, Limper AH, Jiang G, Yang P. Regional Emphysema Score Predicting Overall Survival, Quality of Life, and Pulmonary Function Recovery in Early-Stage Lung Cancer Patients. J Thorac Oncol 2017; 12:824-832. [PMID: 28126539 DOI: 10.1016/j.jtho.2017.01.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2016] [Revised: 01/13/2017] [Accepted: 01/15/2017] [Indexed: 01/24/2023]
Abstract
INTRODUCTION Pulmonary emphysema is a frequent comorbidity in lung cancer, but its role in tumor prognosis remains obscure. Our aim was to evaluate the impact of the regional emphysema score (RES) on a patient's overall survival, quality of life (QOL), and recovery of pulmonary function in stage I to II lung cancer. METHODS Between 1997 and 2009, a total of 1073 patients were identified and divided into two surgical groups-cancer in the emphysematous (group 1 [n = 565]) and nonemphysematous (group 2 [n = 435]) regions-and one nonsurgical group (group 3 [n = 73]). RES was derived from the emphysematous region and categorized as mild (≤5%), moderate (6%-24%), or severe (25%-60%). RESULTS In group 1, patients with a moderate or severe RES experienced slight decreases in postoperative forced expiratory volume in 1 second, but increases in the ratio of forced expiratory volume in 1 second to forced vital capacity compared with those with a mild RES (p < 0.01); however, this correlation was not observed in group 2. Posttreatment QOL was lower in patients with higher RESs in all groups, mainly owing to dyspnea (p < 0.05). Cox regression analysis revealed that patients with a higher RES had significantly poorer survival in both surgical groups, with adjusted hazard ratios of 1.41 and 1.43 for a moderate RES and 1.63 and 2.04 for a severe RES, respectively; however, this association was insignificant in the nonsurgical group (adjusted hazard ratio of 0.99 for a moderate or severe RES). CONCLUSIONS In surgically treated patients with cancer in the emphysematous region, RES is associated with postoperative changes in lung function. RES is also predictive of posttreatment QOL related to dyspnea in early-stage lung cancer. In both surgical groups, RES is an independent predictor of survival.
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Affiliation(s)
- Jie Dai
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Ming Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | | | - Shawn M Stoddard
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota
| | - Jason A Wampfler
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota
| | - Andrew H Limper
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Ping Yang
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota.
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Bae K, Jeon KN, Lee SJ, Kim HC, Ha JY, Park SE, Baek HJ, Choi BH, Cho SB, Moon JI. Severity of pulmonary emphysema and lung cancer: analysis using quantitative lobar emphysema scoring. Medicine (Baltimore) 2016; 95:e5494. [PMID: 27902611 PMCID: PMC5134818 DOI: 10.1097/md.0000000000005494] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The aim of this study was to determine the relationship between lobar severity of emphysema and lung cancer using automated lobe segmentation and emphysema quantification methods.This study included 78 patients (74 males and 4 females; mean age of 72 years) with the following conditions: pathologically proven lung cancer, available chest computed tomographic (CT) scans for lobe segmentation, and quantitative scoring of emphysema. The relationship between emphysema and lung cancer was analyzed using quantitative emphysema scoring of each pulmonary lobe.The most common location of cancer was the left upper lobe (LUL) (n = 28), followed by the right upper lobe (RUL) (n = 27), left lower lobe (LLL) (n = 13), right lower lobe (RLL) (n = 9), and right middle lobe (RML) (n = 1). Emphysema ratio was the highest in LUL, followed by that in RUL, LLL, RML, and RLL. Multivariate logistic regression analysis revealed that upper lobes (odds ratio: 1.77; 95% confidence interval: 1.01-3.11, P = 0.048) and lobes with emphysema ratio ranked the 1st or the 2nd (odds ratio: 2.48; 95% confidence interval: 1.48-4.15, P < 0.001) were significantly and independently associated with lung cancer development.In emphysema patients, lung cancer has a tendency to develop in lobes with more severe emphysema.
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Affiliation(s)
- Kyungsoo Bae
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon
| | - Kyung Nyeo Jeon
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon
| | - Seung Jun Lee
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Internal Medicine, Gyeongsang National University Hospital, Jinju
| | - Ho Cheol Kim
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Ji Young Ha
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Sung Eun Park
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
| | - Hye Jin Baek
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon
| | - Bo Hwa Choi
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon
| | - Soo Buem Cho
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon
| | - Jin Il Moon
- Department of Internal Medicine, Gyeongsang National University Changwon Hospital, Changwon, Korea
- Department of Radiology, Gyeongsang National University Changwon Hospital, Changwon
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Abstract
PURPOSE OF REVIEW An important association has been described between chronic obstructive pulmonary disease (COPD) and lung cancer, where different mechanisms have been proposed. There is no unique cause for this association, as COPD is by itself a heterogeneous disease, in which their classical phenotypes (i.e., emphysema and chronic bronchitis) each play an important role in lung cancer development. We will discuss recent evidence that links these two diseases and specific characteristics found in lung cancers from patients with COPD. RECENT FINDINGS Molecular studies have found specific gene expressions (reduction and overexpression) in lung tumors from patients with COPD, which likely predispose to increased methylation during lung carcinogenesis, and are associated with aggressiveness. Recent evidence suggests that lung cancer risk is higher in individuals with long telomeres, and that this effect takes place well in advance of diagnosis. Lung cancer is likely to develop in areas of the lung with greater emphysema and the severity of the latter is associated with larger and more aggressive tumors. SUMMARY Clinical and molecular studies have found that lung cancers that develop in patients with COPD and/or emphysema appear to be more aggressive and have a distinct molecular profile when compared with tumors from patients without an underlying lung disease. This could have important implications when deciding on personalized treatments.
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Affiliation(s)
- Pablo Sanchez-Salcedo
- aRespiratory Medicine Service, Complejo Hospitalario de Navarra bRespiratory Medicine Service, Clinica Universidad de Navarra, Pamplona, Navarra, Spain
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Kinsey CM, San José Estépar R, Wei Y, Washko GR, Christiani DC. Regional Emphysema of a Non-Small Cell Tumor Is Associated with Larger Tumors and Decreased Survival Rates. Ann Am Thorac Soc 2015; 12:1197-205. [PMID: 26039412 DOI: 10.1513/AnnalsATS.201411-539OC] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
RATIONALE Chronic obstructive pulmonary disease is associated with a worse overall survival in non-small cell lung cancer. Lung emphysema is one component of chronic obstructive pulmonary disease. We hypothesized that emphysema of the tumor region may result in larger tumors and a poorer overall survival. METHODS We evaluated 304 cases of non-small cell lung cancer from a prospectively enrolled cohort. The lung was divided into equal volumetric thirds (upper, middle, or lower region). Emphysema was defined as percentage of low-attenuation areas less than -950 Hounsfield units (%LAA-950) and measured for each region. Whole-lung %LAA-950 was defined as the emphysema score of the entire lung parenchyma, whereas regional %LAA-950 was the score within that particular region (upper, middle, or lower). The emphysema score of the region in which the tumor occurred was defined as the tumor %LAA-950. Tumor diameter was measured while blinded to characteristics of the lung parenchyma. A proportional hazards model was used to control for multiple factors associated with survival. MEASUREMENTS AND MAIN RESULTS Increasing tumor %LAA-950 was associated with larger tumors (P = 0.024). Survival, stratified by stage, was significantly worse in those with tumor %LAA-950 greater than or equal to the 50th percentile versus less than the 50th percentile (P = 0.046). Whole-lung %LAA-950 and regional %LAA-950 (e.g., regional emphysema without tumor occurring in the region) were not significantly associated with survival. There were no differences in presenting symptoms or locations of mediastinal or distant metastasis by emphysema score. Increasing tumor %LAA-950 was associated with an increased risk of death (adjusted hazard ratio, 1.36; confidence interval, 1.09-1.68; P = 0.006) after adjustment for age, sex, smoking status, histology, stage, performance status, chemotherapy, radiation, and surgery. Sensitivity analyses revealed no significant difference in the effect size or test of significance for each of the following conditions: (1) exclusion of cases with central tumor location, (2) exclusion of cases where surgery was performed, (3) exclusion of cases where radiation therapy was performed, (4) exclusion of cases where epidermal growth factor receptor tyrosine kinase inhibitors were administered, and (5) inclusion of only stage IV disease. CONCLUSIONS Increasing emphysema of the region in which a non-small cell lung cancer tumor occurs is associated with increasing tumor size and worse overall survival.
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Ostridge K, Wilkinson TMA. Present and future utility of computed tomography scanning in the assessment and management of COPD. Eur Respir J 2016; 48:216-28. [PMID: 27230448 DOI: 10.1183/13993003.00041-2016] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Accepted: 03/21/2016] [Indexed: 01/08/2023]
Abstract
Computed tomography (CT) is the modality of choice for imaging the thorax and lung structure. In chronic obstructive pulmonary disease (COPD), it used to recognise the key morphological features of emphysema, bronchial wall thickening and gas trapping. Despite this, its place in the investigation and management of COPD is yet to be determined, and it is not routinely recommended. However, lung CT already has important clinical applications where it can be used to diagnose concomitant pathology and determine which patients with severe emphysema are appropriate for lung volume reduction procedures. Furthermore, novel quantitative analysis techniques permit objective measurements of pulmonary and extrapulmonary manifestations of the disease. These techniques can give important insights into COPD, and help explore the heterogeneity and underlying mechanisms of the condition. In time, it is hoped that these techniques can be used in clinical trials to help develop disease-specific therapy and, ultimately, as a clinical tool in identifying patients who would benefit most from new and existing treatments. This review discusses the current clinical applications for CT imaging in COPD and quantification techniques, and its potential future role in stratifying disease for optimal outcome.
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Affiliation(s)
- Kristoffer Ostridge
- Southampton NIHR Respiratory Biomedical Research Unit, Southampton General Hospital, Southampton, UK Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK
| | - Tom M A Wilkinson
- Southampton NIHR Respiratory Biomedical Research Unit, Southampton General Hospital, Southampton, UK Clinical and Experimental Sciences, University of Southampton Faculty of Medicine, Southampton General Hospital, Southampton, UK
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Gonzalez J, Marín M, Sánchez-Salcedo P, Zulueta JJ. Lung cancer screening in patients with chronic obstructive pulmonary disease. Ann Transl Med 2016; 4:160. [PMID: 27195278 DOI: 10.21037/atm.2016.03.57] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Lung cancer and chronic obstructive pulmonary disease (COPD) are two intimately related diseases, with great impact on public health. Annual screening using low-dose computed tomography (LDCT) of the chest significantly reduces mortality due to lung cancer, and several scientific societies now recommend this technique. COPD, defined by the presence of airflow obstruction [forced expiratory volume and forced vital capacity (FVC) ratio less than 0.70], and their clinical phenotypes, namely emphysema and chronic bronchitis, have been associated with increased lung cancer risk. Several epidemiological studies, including lung cancer screening trials, have found a 2- to 4-fold increase in lung cancer risk in patients with COPD when compared to individuals without airflow obstruction. Part of the risk attributed to airflow obstruction appears to be derived from the presence of radiographic emphysema. The latter has proven to be an important lung cancer risk factor in smokers without airflow obstruction and even in never smokers. This evidence supports the idea of including patients with COPD and/or emphysema in lung cancer screening programs. There is evidence that lung cancer screening in this population is effective and can potentially reduce mortality. Specific lung cancer risk scores have been developed for patients with COPD [COPD lung cancer screening score (LUCSS) and COPD-LUCSS-diffusing capacity for carbon monoxide (DLCO)] to identify those at high risk. A multidisciplinary approach for an adequate patient selection, especially of patients with severe disease, is key to maximize benefits and reduce harms from lung cancer screening in this population. Patients with COPD included in lung cancer screening programs could also benefit from other interventions, such as smoking cessation and adequate treatment.
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Affiliation(s)
- Jessica Gonzalez
- 1 Respiratory Medicine Service, Clinica Universidad de Navarra, Pamplona, Spain ; 2 Respiratory Medicine Service, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Marta Marín
- 1 Respiratory Medicine Service, Clinica Universidad de Navarra, Pamplona, Spain ; 2 Respiratory Medicine Service, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Pablo Sánchez-Salcedo
- 1 Respiratory Medicine Service, Clinica Universidad de Navarra, Pamplona, Spain ; 2 Respiratory Medicine Service, Complejo Hospitalario de Navarra, Pamplona, Spain
| | - Javier J Zulueta
- 1 Respiratory Medicine Service, Clinica Universidad de Navarra, Pamplona, Spain ; 2 Respiratory Medicine Service, Complejo Hospitalario de Navarra, Pamplona, Spain
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Murakami J, Ueda K, Sano F, Hayashi M, Nishimoto A, Hamano K. Pulmonary emphysema and tumor microenvironment in primary lung cancer. J Surg Res 2016; 200:690-7. [DOI: 10.1016/j.jss.2015.09.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 08/23/2015] [Accepted: 09/03/2015] [Indexed: 11/30/2022]
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Hohberger LA, Schroeder DR, Bartholmai BJ, Yang P, Wendt CH, Bitterman PB, Larsson O, Limper AH. Correlation of regional emphysema and lung cancer: a lung tissue research consortium-based study. J Thorac Oncol 2014; 9:639-45. [PMID: 24662456 DOI: 10.1097/JTO.0000000000000144] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND Chronic obstructive pulmonary disease and lung cancer are linked because both airflow obstruction and emphysema, on computer tomography, are independent risk factors for lung cancer. However, the local risk of malignancy relative to development of regional emphysema has not yet been defined. Specifically, it is not known if primary lung cancers are associated with regions of worse emphysema within individual patients. METHODS We performed a database analysis evaluating the association between the degree of regional emphysema as scored on computer tomography and development of primary lung cancer. We also studied the association between regional emphysema and benign lung nodules. We assembled two distinct cohorts using the National Heart, Lung, and Blood Institute's Lung Tissue Research Consortium database, hypothesizing that lung malignancy will preferentially locate in the regions of the most severe emphysema. RESULTS In the Lung Tissue Research Consortium database, 624 cases met criteria for the malignant nodule cohort and 64 were included in the benign nodule cohort. When comparing location of a malignant nodule to other lung regions within the same person, the odds of having a more severe emphysema score in the location of lung cancer was 1.342 (95% confidence interval 1.112-1.620; p = 0.0022). When comparing location of a benign nodule to other lung regions within the same person, the odds of having a more severe emphysema score in the location of the benign nodule was 1.118 (95% confidence interval 0.725-1.725; p = 0.6137). CONCLUSIONS Primary lung cancers are associated with areas of worse regional emphysema.
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Shen TC, Chung WS, Lin CL, Wei CC, Chen CH, Chen HJ, Tu CY, Hsia TC, Shih CM, Hsu WH, Chung CJ. Does chronic obstructive pulmonary disease with or without type 2 diabetes mellitus influence the risk of lung cancer? Result from a population-based cohort study. PLoS One 2014; 9:e98290. [PMID: 24854189 PMCID: PMC4031125 DOI: 10.1371/journal.pone.0098290] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2014] [Accepted: 04/29/2014] [Indexed: 12/22/2022] Open
Abstract
Background Previous studies have suggested that chronic obstructive pulmonary disease (COPD) is an independent risk factor for lung cancer. There are some evidence that people with diabetes are at a risk of developing many forms of cancer, but inconclusive with regard to lung cancer. The aim of this study was to evaluate whether COPD with or without type 2 diabetes mellitus (T2DM) influences the risk of developing lung cancer. Methods This is a retrospective cohort study consisting of 20,730 subjects newly diagnosed with COPD (“cases”). Their data was collected from the National Health Insurance system of Taiwan from 1998 to 2010. Among these patients, 5,820 patients had T2DM and 14,910 patients did not have T2DM. The retrospective matched control group consisted of 20,729 subjects without either COPD or T2DM. The control group was matched with the cases for sex, age, and index year (the year that the patient was diagnosed with COPD). The subjects were followed until the end of 2011. Results The findings of our study showed that the risk of lung cancer was higher in the COPD group than in the non-COPD group, with adjusted hazard ratio (HR) of 5.02 [95% confidence interval (CI) = 4.23–5.94] among total case group, adjusted HR was 5.38 (95% CI = 4.52–6.40) in the cohort without T2DM and adjusted HR was 4.05 (95% CI = 3.26–5.03) in the cohort with T2DM. We observed a significantly protective effect from lung cancer (adjusted HR = 0.75, 95% CI = 0.63–0.90) of diabetic cohort than non-diabetic cohort among patients with COPD. Conclusion Patients with COPD had a significantly higher risk of developing lung cancer than healthy people. However, there was a protective effect of T2DM for lung cancer among patients with COPD. Further investigation may be needed to corroborate the mechanism or bring up reliable reasons.
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Affiliation(s)
- Te-Chun Shen
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chu Shang Show Chwan Hospital, Nantou, Taiwan
| | - Wei-Sheng Chung
- Department of Internal Medicine, Taichung Hospital, Ministry of Health and Welfare, Taichung, Taiwan
- Department of Healthcare Administration, Central Taiwan University of Science and Technology, Taichung, Taiwan
| | - Cheng-Li Lin
- Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Chang-Ching Wei
- Division of Nephrology, Department of Pediatrics, China Medical University Hospital and China Medical University, Taichung, Taiwan
| | - Chia-Hung Chen
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan
| | - Hung-Jen Chen
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan
| | - Chih-Yen Tu
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan
| | - Te-Chun Hsia
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan
| | - Chuen-Ming Shih
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan
- * E-mail: (C-MS); (C-JC)
| | - Wu-Huei Hsu
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan
| | - Chi-Jung Chung
- Department of Health Risk Management, College of Public Health, China Medical University, Taichung, Taiwan
- Department of Medical Research, China Medical University Hospital, Taichung, Taiwan
- * E-mail: (C-MS); (C-JC)
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Abstract
Computed tomography (CT) has contributed substantially to our understanding of COPD over the past decade. Visual and quantitative assessments of CT in COPD are complementary. Visual assessment should provide assessment of centrilobular, panlobular and paraseptal emphysema, airway wall thickening, bronchiectasis, findings of respiratory bronchiolitis, and enlargement of the pulmonary artery. Quantitative CT permits evaluation of severity of emphysema, airway wall thickening, and expiratory air trapping, and is now being used for longitudinal evaluation of the progression of COPD. Innovative techniques are being developed to use CT to characterize the pattern of emphysema and smoking- related respiratory bronchiolitis. Magnetic resonance imaging (MRI) and positron emission tomography PET-CT are useful research tools in the evaluation of COPD.
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Affiliation(s)
- David A Lynch
- Department of Radiology. National Jewish Health. Denver, CO
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Bon J, Liao S, Tseng G, Sciurba FC. Considerations and pitfalls in phenotyping and reclassification of chronic obstructive pulmonary disease. Transl Res 2013; 162:252-7. [PMID: 23920431 DOI: 10.1016/j.trsl.2013.07.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2013] [Revised: 06/24/2013] [Accepted: 07/11/2013] [Indexed: 10/26/2022]
Abstract
As the clinical and research focus of chronic obstructive pulmonary disease (COPD) evolves from regarding obstructive lung disease as a single disease entity to recognizing the complexity of disease expression, the importance of COPD phenotyping rises to the forefront. The reclassification of COPD holds both prognostic and therapeutic implications but does not come without issues that may complicate classification efforts. In this review, we discuss the significance of refining the definition of the term phenotype, consider the impact of variations in cohort severity and attribute mix, account for the contrast of longitudinal vs cross-sectional cohort analysis, recognize the differing criteria used to define disease traits along with the nuances of combining cohorts, and identify the interaction of covariates as we advance in the field of COPD phenotyping.
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Affiliation(s)
- Jessica Bon
- Division of Pulmonary Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
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Bishawi M, Moore W, Bilfinger T. Severity of emphysema predicts location of lung cancer and 5-y survival of patients with stage I non–small cell lung cancer. J Surg Res 2013; 184:1-5. [DOI: 10.1016/j.jss.2013.05.081] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2013] [Revised: 04/28/2013] [Accepted: 05/22/2013] [Indexed: 11/30/2022]
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Abstract
Quantitative computed tomography is being increasingly used to quantify the features of chronic obstructive pulmonary disease, specifically emphysema, air trapping, and airway abnormality. For quantification of emphysema, the density mask technique is most widely used, with threshold on the order of-950 HU, but percentile cutoff may be less sensitive to volume changes. Sources of variation include depth of inspiration, scanner make and model, technical parameters, and cigarette smoking. On expiratory computed tomography (CT), air trapping may be quantified by evaluating the percentage of lung volume less than a given threshold (eg, -856 HU) by comparing lung volumes and attenuation on expiration and inspiration or, as done more recently, by coregistering inspiratory and expiratory CT scans. All of these indices correlate well with the severity of physiological airway obstruction. By constructing a 3-dimensional model of the airway from volumetric CT, it is possible to measure dimensions (external and internal diameters and airway wall thickness) of segmental and subsegmental airways orthogonal to their long axes. Measurement of airway parameters correlates with the severity of airflow obstruction and with the history of chronic obstructive pulmonary disease exacerbation.
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Affiliation(s)
- David A Lynch
- Division of Radiology, National Jewish Health, 1400 Jackson Street, Denver, CO 80206, 303 270 2810,
| | - Mustafa L Al-Qaisi
- Division of Radiology, National Jewish Health, 1400 Jackson Street, Denver, CO 80206, 303 270 2810,
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Powell HA, Iyen-Omofoman B, Baldwin DR, Hubbard RB, Tata LJ. Chronic obstructive pulmonary disease and risk of lung cancer: the importance of smoking and timing of diagnosis. J Thorac Oncol 2013; 8:6-11. [PMID: 23196277 DOI: 10.1097/JTO.0b013e318274a7dc] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION The majority of cases of both lung cancer and chronic obstructive pulmonary disease (COPD) are attributable to cigarette smoking, but whether COPD is an independent risk factor for lung cancer remains unclear. METHODS We used The Health Improvement Network, a U.K. general practice database, to identify incident cases of lung cancer and controls matched on age, sex, and practice. Using conditional logistic regression, we assessed the effects of timing of first diagnoses of COPD, pneumonia, and asthma on the odds of lung cancer, adjusting for smoking habit. RESULTS Of 11,888 incident cases of lung cancer, 23% had a prior diagnosis of COPD compared with only 6% of the 37,605 controls. The odds of lung cancer in patients who had COPD diagnosed within 6 months of their cancer diagnosis were 11-fold those of patients without COPD (odds ratio 11.47, 95% confidence interval 9.38-14.02). However, when restricted to earlier COPD diagnoses, with adjustment for smoking, the effect markedly diminished (for COPD diagnoses >10 years before lung cancer diagnosis, odds ratio: 2.18, 95% confidence interval: 1.87-2.54). The pattern was similar for pneumonia. The effect of COPD on lung cancer remained after excluding patients who had a codiagnosis of asthma. CONCLUSION A diagnosis of COPD is strongly associated with a diagnosis of lung cancer, however, this association is largely explained by smoking habit, strongly dependent on the timing of COPD diagnosis, and not specific to COPD. It seems unlikely, therefore, that COPD is an independent risk factor for lung cancer.
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Owrangi AM, Etemad-Rezai R, McCormack DG, Cunningham IA, Parraga G. Computed tomography density histogram analysis to evaluate pulmonary emphysema in ex-smokers. Acad Radiol 2013; 20:537-45. [PMID: 23570935 DOI: 10.1016/j.acra.2012.11.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2012] [Revised: 11/12/2012] [Accepted: 11/13/2012] [Indexed: 11/18/2022]
Abstract
RATIONALE AND OBJECTIVES High-resolution computed tomography (CT) measurements of emphysema typically use Hounsfield unit (HU) density histogram thresholds or observer scores based on regions of low x-ray attenuation. Our objective was to develop an automated measurement of emphysema using principal component analysis (PCA) of the CT density histogram. MATERIALS AND METHODS Ninety-seven ex-smokers, including 53 subjects with chronic obstructive pulmonary disease (COPD) and 44 asymptomatic subjects (AEs), provided written informed consent to imaging as well as plethysmography and spirometry. We applied PCA to the CT density histogram to generate whole lung and regional density histogram principal components including the first and second components and the sum of both principal components (density histogram principal component score [DHPCS]). Significant relationships for DHPCS with single HU thresholds, pulmonary function measurements, an expert's emphysema score, and hyperpolarized (3)He magnetic resonance imaging apparent diffusion coefficients (ADCs) were determined using linear regression and Pearson coefficients. Receiver operator characteristics analysis was performed using forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) as the independent diagnostic. RESULTS There was a significant difference (P < .0001) between AE and COPD subjects for DHPCS; FEV1/FVC; diffusing capacity of lung for carbon monoxide%predicted; attenuation values below -950, -910, and -856 HU; and (3)He ADCs. There were significant correlations for DHPCS with FEV1/FVC (r = -0.85, P < .0001); diffusing capacity of lung for carbon monoxide%predicted (r = -0.67, P < .0001); attenuation values below -950/-910/-856 HU (r = 0.93/0.96/0.76, P < .0001); and (3)He ADCs (r = 0.85, P < .0001). Receiver operator characteristics analysis showed a 91% classification rate for DHPCS. CONCLUSIONS We generated an automated emphysema score using PCA of the CT density histogram with a 91% COPD classification rate that showed strong and significant correlations with pulmonary function tests, single HU thresholds, and (3)He magnetic resonance imaging ADCs.
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Affiliation(s)
- Amir M Owrangi
- Imaging Research Laboratories, Robarts Research Institute, 100 Perth Drive, London, Canada N6A 5K8
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Sverzellati N, Randi G, Spagnolo P, Marchianò A, Silva M, Kuhnigk JM, La Vecchia C, Zompatori M, Pastorino U. Increased mean lung density: another independent predictor of lung cancer? Eur J Radiol 2013; 82:1325-31. [PMID: 23434392 DOI: 10.1016/j.ejrad.2013.01.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2012] [Revised: 10/22/2012] [Accepted: 01/14/2013] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To investigate the relationship between emphysema phenotype, mean lung density (MLD), lung function and lung cancer by using an automated multiple feature analysis tool on thin-section computed tomography (CT) data. METHODS Both emphysema phenotype and MLD evaluated by automated quantitative CT analysis were compared between outpatients and screening participants with lung cancer (n=119) and controls (n=989). Emphysema phenotype was defined by assessing features such as extent, distribution on core/peel of the lung and hole size. Adjusted multiple logistic regression models were used to evaluate independent associations of CT densitometric measurements and pulmonary function test (PFT) with lung cancer risk. RESULTS No emphysema feature was associated with lung cancer. Lung cancer risk increased with decreasing values of forced expiratory volume in 1s (FEV1) independently of MLD (OR 5.37, 95% CI: 2.63-10.97 for FEV1<60% vs. FEV1≥90%), and with increasing MLD independently of FEV1 (OR 3.00, 95% CI: 1.60-5.63 for MLD>-823 vs. MLD<-857 Hounsfield units). CONCLUSION Emphysema per se was not associated with lung cancer whereas decreased FEV1 was confirmed as being a strong and independent risk factor. The cross-sectional association between increased MLD and lung cancer requires future validations.
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Affiliation(s)
- Nicola Sverzellati
- Department of Department of Surgical Sciences, Section of Diagnostic Imaging, University of Parma, Padiglione Barbieri, University Hospital of Parma, V. Gramsci 14, 43100 Parma, Italy.
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Wang H, Yang L, Zou L, Huang D, Guo Y, Pan M, Tan Y, Zhong H, Ji W, Ran P, Zhong N, Lu J. Association between chronic obstructive pulmonary disease and lung cancer: a case-control study in Southern Chinese and a meta-analysis. PLoS One 2012; 7:e46144. [PMID: 23029414 PMCID: PMC3460937 DOI: 10.1371/journal.pone.0046144] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2012] [Accepted: 08/28/2012] [Indexed: 12/18/2022] Open
Abstract
Background Lung cancer and chronic obstructive pulmonary disease (COPD) share a common risk factor in cigarette smoking and a large portion of patients with lung cancer suffer from COPD synchronously. We therefore hypothesized that COPD is an independent risk factor for lung cancer. Our aim was to investigate the intrinsic linkage of COPD (or emphysema, chronic bronchitis and asthma) and lung cancer. Methods The present hospital-based case-control study included 1,069 patients with newly diagnosed lung cancer and 1,132 age frequency matched cancer-free controls. The odds ratios (ORs) for the associations between each previous pulmonary disease and lung cancer were estimated with logistic regression models, adjusting for age, sex, family history of cancer, BMI and pack year smoking. In meta-analysis, the pooled effects of previous pulmonary diseases were analyzed with random effects models; and stratification analyses were conducted on smoking status and ethnicity. Results In the case-control study, previous COPD was associated with the odds for increased risk of lung cancer (OR = 1.29, 95% confidence interval [CI] = 1.00∼1.68); so were emphysema (OR = 1.55, 95%CI = 1.03∼2.32) and chronic bronchitis (OR = 1.22, 95%CI = 0.99∼1.67); while asthma was associated with odds for decreased risk of lung cancer (OR = 0.29, 95%CI = 0.16∼0.53). These associations were more pronounced in smokers (P<.05 for all strata), but not in non-smokers. In meta-analysis, 35 studies (22,010 cases and 44,438 controls) were identified. COPD was significantly associated with the odds for increased risk of lung cancer (pooled OR = 2.76; 95% CI = 1.85–4.11), so were emphysema (OR = 3.02; 95% CI = 2.41–3.79) and chronic bronchitis (OR = 1.88; 95% CI = 1.49–2.36); and these associations were more pronounced in smokers than in non-smokers (P<.001 respectively). No significant association was observed for asthma. Conclusion Previous COPD could increase the risk of lung cancer, especially in smokers.
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Affiliation(s)
- Hui Wang
- School of Public Health, The Institute for Chemical Carcinogenesis, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Lei Yang
- School of Public Health, The Institute for Chemical Carcinogenesis, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Linnan Zou
- School of Public Health, The Institute for Chemical Carcinogenesis, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Dongsheng Huang
- School of Public Health, The Institute for Chemical Carcinogenesis, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
- Department of Respiratory Medicine, Guangzhou Chest Hospital, Guangzhou, Guangdong, China
| | - Yuan Guo
- The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Mingan Pan
- Department of Respiratory Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yigang Tan
- Department of Respiratory Medicine, Guangzhou Chest Hospital, Guangzhou, Guangdong, China
| | - Haibo Zhong
- Department of Respiratory Medicine, Guangzhou Red Cross Hospital, Guangzhou, Guangdong, China
| | - Weidong Ji
- School of Public Health, The Institute for Chemical Carcinogenesis, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Pixin Ran
- Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Nanshan Zhong
- Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Jiachun Lu
- School of Public Health, The Institute for Chemical Carcinogenesis, The State Key Lab of Respiratory Disease, Guangzhou Medical University, Guangzhou, Guangdong, China
- * E-mail:
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Matsuo K, Iwano S, Okada T, Koike W, Naganawa S. 3D-CT lung volumetry using multidetector row computed tomography: pulmonary function of each anatomic lobe. J Thorac Imaging 2012; 27:164-70. [PMID: 21873909 DOI: 10.1097/RTI.0b013e31822641c9] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE We sought to determine the volume of each anatomic lung lobe reconstructed using 3-dimensional computed tomography (3D-CT) imaging from multidetector CT images and to compare these with pulmonary function test results. MATERIALS AND METHODS We reviewed preoperative 3D-CT images and spirometry results of 111 patients (86 men and 25 women) with pulmonary neoplasms who were considered candidates for lung resections. On a 3D-CT image, the entire lung was semiautomatically separated into 5 anatomic lobes: right upper lobe, right middle lobe, right lower lobe, left upper lobe, and left lower lobe. For each lobe, total lobar volume, emphysematous lobar volume with low attenuation values of less than -950 HU, and normal lobar volume (NLV=total lobar volume-emphysematous lobar volume) were calculated. Vital capacity, forced expiratory volume in 1 second, and diffusing capacity for carbon monoxide (DLCO) were measured by spirometry. Relationships between NLV values of each lobe and pulmonary function results were determined by the Pearson correlation coefficients and multiple regression analysis. RESULTS The NLV values for both lower lobes (right lower lobe and left lower lobe) and the other lobes (right upper lobe, right middle lobe, and left upper lobe) were significantly correlated with vital capacity and forced expiratory volume in 1 second; lower lobes showed a stronger tendency toward these correlations. The NLV values of the lower lobes were significantly correlated with DLCO (P<0.001), although the NLV values of the other lobes were not correlated with DLCO (P=0.112). CONCLUSIONS Pulmonary function results, particularly DLCO, were primarily affected by the NLVs of the lower lobes.
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El-Zein RA, Young RP, Hopkins RJ, Etzel CJ. Genetic predisposition to chronic obstructive pulmonary disease and/or lung cancer: important considerations when evaluating risk. Cancer Prev Res (Phila) 2012; 5:522-7. [PMID: 22491518 DOI: 10.1158/1940-6207.capr-12-0042] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is defined as a disease causing an airflow limitation that is not fully reversible. COPD is phenotypically complex and characterized by small-airway disease and/or emphysema that result from the interaction between host genetic susceptibility and environmental exposures. As in lung cancer, smoking exposure is the most important risk factor for the development of COPD, accounting for 80% to 90% of all cases. COPD affects an estimated 8% to 10% of the general adult population, 15% to 20% of the smoking population, and 50% to 80% of lung cancer patients (with substantial smoking histories). In prospective studies, COPD has been found to be an independent risk factor for lung cancer, conferring a three- to 10-fold increased risk of lung cancer when compared with smokers without COPD. These findings suggest that smokers have a host susceptibility to COPD alone, COPD and lung cancer (i.e., overlap), and lung cancer in the absence of COPD. This minireview focuses on important points that need to be addressed when studying genetic susceptibility factors for COPD and its complex relationship with susceptibility to lung cancer.
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Affiliation(s)
- Randa A El-Zein
- Department of Epidemiology, Division of Cancer Prevention, The University of Texas MD Anderson Cancer Center, 1155 Pressler Street, #1340, Houston, TX 77030, USA.
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Zimmermann M, Nickl S, Lambers C, Hacker S, Mitterbauer A, Hoetzenecker K, Rozsas A, Ostoros G, Laszlo V, Hofbauer H, Renyi-Vamos F, Klepetko W, Dome B, Ankersmit HJ. Discrimination of clinical stages in non-small cell lung cancer patients by serum HSP27 and HSP70: a multi-institutional case-control study. Clin Chim Acta 2012; 413:1115-20. [PMID: 22465083 DOI: 10.1016/j.cca.2012.03.008] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2012] [Revised: 03/09/2012] [Accepted: 03/09/2012] [Indexed: 10/28/2022]
Abstract
INTRODUCTION Lung cancer represents a major healthcare problem. Accordingly, there is an urgent need to identify serum biomarkers for early diagnosis of lung pathology. We have recently described that patients with manifest COPD evidence elevated levels of heat shock proteins (HSPs). Based on these data, we speculated whether HSPs are also increased in patients with diagnosed lung cancer. METHODS Serum levels of HSP27, phospho-HSP27 (pHSP27) and HSP70 in patients with non-small cell lung cancer (NSCLC) diagnosed at an early (stages I-II, n=37) or advanced (stages IIIA-IV, n=72) stage were determined by using ELISA. Healthy smokers (n=24), healthy never-smoker volunteers (n=33) and COPD patients (n=34) according to GOLD classification served as control population. RESULTS Serum levels of HSP27 were elevated in patients with NSCLC diagnosed at an early or advanced stage when compared with both healthy control groups (P<0.005 and P<0.0001 respectively). Statistically significant differences were furthermore found between the groups of patients with early vs. advanced stage NSCLC (P=0.0021). Serum levels of HSP70 were also significantly elevated in patients with NSCLC diagnosed at an early or at an advanced stage when compared with either healthy control groups (P=0.0028 and P<0.0001 respectively). In univariate logistic regression models including healthy subjects and patients with NSCLC, HSP70 had an area under the curve (AUC) of 0.779 (P<0.0001) and HSP27 showed an AUC of 0.870 (P<0.0001). CONCLUSION Our data suggest that serum HSP27 levels might serve as a possible tool to discriminate between early and advanced stages NSCLC.
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Affiliation(s)
- Matthias Zimmermann
- Christian Doppler Laboratory for Cardiac and Thoracic Diagnosis and Regeneration, Medical University of Vienna, Vienna, Austria
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Smith BM, Pinto L, Ezer N, Sverzellati N, Muro S, Schwartzman K. Emphysema detected on computed tomography and risk of lung cancer: a systematic review and meta-analysis. Lung Cancer 2012; 77:58-63. [PMID: 22437042 DOI: 10.1016/j.lungcan.2012.02.019] [Citation(s) in RCA: 77] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2011] [Revised: 02/22/2012] [Accepted: 02/24/2012] [Indexed: 11/26/2022]
Abstract
BACKGROUND Studies exploring the association between emphysema detected on chest computed tomography (CT) and lung cancer have yielded mixed results. Our objective was to systematically review the evidence for this association. METHODS We searched MEDLINE, EMBASE and the Cochrane Library for the terms "lung cancer", "emphysema" and "computed tomography" without language restriction. Bibliographies were also reviewed and authors contacted for additional information. Human studies in which CTs were performed and assessed for emphysema and in which subjects were evaluated systematically for lung cancer were included. Qualitative synthesis of evidence was performed followed by pooling of effect estimates using a random-effects model. RESULTS Of 187 citations, 7 were included in the qualitative synthesis and 5 in the meta-analysis. Three studies assessing emphysema visually observed an association with lung cancer, independent of smoking history and airflow obstruction. Three studies using densitometry to detect emphysema found no association with lung cancer. Another study directly comparing automated and visual emphysema detection techniques found only the latter to associate with lung cancer. Among 7368 subjects included in the meta-analysis, 2809 had emphysema on CT and 870 were diagnosed with lung cancer. The pooled adjusted odds ratio for lung cancer in the presence of emphysema on CT was 2.11 (95% CI 1.10-4.04); stratification by detection method yielded OR of 3.50 (95% CI 2.71-4.51) with visually detected emphysema and 1.16 (95% CI 0.48-2.81) with densitometric emphysema. CONCLUSION Systematic literature review shows emphysema detected visually on CT to be independently associated with increased odds of lung cancer. This association did not hold with automated emphysema detection.
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Palma D, Lagerwaard F, Rodrigues G, Haasbeek C, Senan S. Curative Treatment of Stage I Non-Small-Cell Lung Cancer in Patients With Severe COPD: Stereotactic Radiotherapy Outcomes and Systematic Review. Int J Radiat Oncol Biol Phys 2012; 82:1149-56. [DOI: 10.1016/j.ijrobp.2011.03.005] [Citation(s) in RCA: 136] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2010] [Revised: 02/04/2011] [Accepted: 03/03/2011] [Indexed: 11/17/2022]
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Wilson DO, Leader JK, Fuhrman CR, Reilly JJ, Sciurba FC, Weissfeld JL. Quantitative computed tomography analysis, airflow obstruction, and lung cancer in the pittsburgh lung screening study. J Thorac Oncol. 2011;6:1200-1205. [PMID: 21610523 DOI: 10.1097/jto.0b013e318219aa93] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND To study the relationship between emphysema, airflow obstruction, and lung cancer in a high-risk population, we performed quantitative analysis of screening computed tomography (CT) scans. METHODS Subjects completed questionnaires, spirometry, and low-dose helical chest CT. Analyses compared cases and controls according to automated quantitative analysis of lung parenchyma and airways measures. RESULTS Our case-control study of 117 matched pairs of lung cancer cases and controls did not reveal any airway or lung parenchymal findings on quantitative analysis of screening CT scans that were associated with increased lung cancer risk. Airway measures including wall area %, lumen perimeter, lumen area and average wall Hounsfield unit, and parenchymal measures including lung fraction less than -910 Hounsfield units were not statistically different between cases and controls. CONCLUSIONS The relationship between visual assessment of emphysema and increased lung cancer risk could not be verified by quantitative analysis of low-dose screening CT scans in a high-risk tobacco exposed population.
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Laisaar T, Lill H, Kullamaa A, Jõgi R. Detection rate of lung cancer among chronic obstructive pulmonary disease patients regularly followed up by pulmonary physicians. Thorac Cancer 2011; 2:179-182. [PMID: 27755857 DOI: 10.1111/j.1759-7714.2011.00056.x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) has been found to be an independent risk factor for lung cancer. The aim of this study was to evaluate whether regular follow up of COPD patients increases the diagnosis of lung cancer at an early stage. METHODS Case reports of 105 male moderate to severe COPD patients who participated in a clinical study were analyzed retrospectively. Throughout the 3-year study period patients regularly visited a pulmonary physician. Investigations to detect lung cancer were ordered only with the presence of symptoms. The lung cancer incidence in the study group was compared to that of general male population matched by age. RESULTS At the beginning of the study the mean age was 67 (range 55-81) years, mean smoking history 36.2 (range 11-102) years and mean forced expiratory volume in 1 s (FEV1 ) 43.3% (range 22.7-59.7). During the study six lung cancers and five other cancers were diagnosed per 287 person-years of observation. Only one lung cancer was operable, others were locally advanced or had distant metastases. CONCLUSIONS Despite the patients being followed up regularly by a pulmonary physician, most cancers were diagnosed at an advanced stage. The relative risk of getting lung cancer was 6.0 times higher (95% CI 2.7-13.3) among COPD patients than among the general population. The current study confirms that COPD patients have an increased risk of lung cancer. Moreover simple regular follow up of patients without special lung cancer screening investigations do not help to detect the cancer in its early stage. This study stresses the need to establish a more detailed follow-up program for COPD patients to detect early lung cancer in this high risk population.
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Affiliation(s)
- Tanel Laisaar
- Department of Thoracic Surgery, Tartu University Hospital, Tartu, EstoniaDepartment of Pneumology, Tartu University Hospital, Tartu, Estonia
| | - Hille Lill
- Department of Thoracic Surgery, Tartu University Hospital, Tartu, EstoniaDepartment of Pneumology, Tartu University Hospital, Tartu, Estonia
| | - Anneli Kullamaa
- Department of Thoracic Surgery, Tartu University Hospital, Tartu, EstoniaDepartment of Pneumology, Tartu University Hospital, Tartu, Estonia
| | - Rain Jõgi
- Department of Thoracic Surgery, Tartu University Hospital, Tartu, EstoniaDepartment of Pneumology, Tartu University Hospital, Tartu, Estonia
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Gierada DS, Guniganti P, Newman BJ, Dransfield MT, Kvale PA, Lynch DA, Pilgram TK. Quantitative CT assessment of emphysema and airways in relation to lung cancer risk. Radiology 2011; 261:950-9. [PMID: 21900623 DOI: 10.1148/radiol.11110542] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE To determine whether quantitative computed tomographic (CT) measurements of emphysema and airway dimensions are associated with lung cancer risk in a screening population. MATERIALS AND METHODS Institutional review board approval and informed consent for the use of deidentified images were obtained. In this retrospective study, CT scans were analyzed from 279 participants in the CT screening arm of the National Lung Screening Trial who were diagnosed with lung cancer and 279 participants who were not diagnosed with lung cancer after a median follow-up period of 6.6 years. Quantitative CT measurements of emphysema and right upper lobe apical segmental and subsegmental airway dimensions, and multiple patient history-related variables, were compared between the two groups. Significant variables were tested in multivariate models for association with lung cancer by using multiple logistic regression. RESULTS The emphysema index of percentage upper lung volume less than -950 HU had the strongest association with lung cancer (mean, 10.7% [standard deviation, 13.5] in patients vs 7.2% [standard deviation, 10.4] in control subjects; P < .001), but the relationship was weak (R(2) = 0.015, P < .001, c = 0.57). No CT measures of emphysema had an association with lung cancer independent of the patient medical history variables. Airway dimensions were not associated with lung cancer. CONCLUSION Quantitative CT measurements of emphysema but not airway dimensions were only weakly associated with lung cancer, demonstrating no potential practical value for clinical risk stratification.
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Affiliation(s)
- David S Gierada
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S Kingshighway Blvd, Box 8131, St Louis, MO 63110, USA.
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Maisonneuve P, Bagnardi V, Bellomi M, Spaggiari L, Pelosi G, Rampinelli C, Bertolotti R, Rotmensz N, Field JK, Decensi A, Veronesi G. Lung cancer risk prediction to select smokers for screening CT--a model based on the Italian COSMOS trial. Cancer Prev Res (Phila) 2011; 4:1778-89. [PMID: 21813406 DOI: 10.1158/1940-6207.capr-11-0026] [Citation(s) in RCA: 86] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Screening with low-dose helical computed tomography (CT) has been shown to significantly reduce lung cancer mortality but the optimal target population and time interval to subsequent screening are yet to be defined. We developed two models to stratify individual smokers according to risk of developing lung cancer. We first used the number of lung cancers detected at baseline screening CT in the 5,203 asymptomatic participants of the COSMOS trial to recalibrate the Bach model, which we propose using to select smokers for screening. Next, we incorporated lung nodule characteristics and presence of emphysema identified at baseline CT into the Bach model and proposed the resulting multivariable model to predict lung cancer risk in screened smokers after baseline CT. Age and smoking exposure were the main determinants of lung cancer risk. The recalibrated Bach model accurately predicted lung cancers detected during the first year of screening. Presence of nonsolid nodules (RR = 10.1, 95% CI = 5.57-18.5), nodule size more than 8 mm (RR = 9.89, 95% CI = 5.84-16.8), and emphysema (RR = 2.36, 95% CI = 1.59-3.49) at baseline CT were all significant predictors of subsequent lung cancers. Incorporation of these variables into the Bach model increased the predictive value of the multivariable model (c-index = 0.759, internal validation). The recalibrated Bach model seems suitable for selecting the higher risk population for recruitment for large-scale CT screening. The Bach model incorporating CT findings at baseline screening could help defining the time interval to subsequent screening in individual participants. Further studies are necessary to validate these models.
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Affiliation(s)
- Patrick Maisonneuve
- Division of Epidemiology and Biostatistics, European Institute of Oncology, Via Ripamonti 435, 20141 Milan, Italy.
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