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Murison KR, Warkentin MT, Khodayari Moez E, Brhane Y, Liu G, Hung RJ. Respiratory Function as a Prognostic Factor for Lung Cancer in Screening and General Populations. Ann Am Thorac Soc 2025; 22:591-597. [PMID: 39589279 PMCID: PMC12005013 DOI: 10.1513/annalsats.202404-428oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 11/21/2024] [Indexed: 11/27/2024] Open
Abstract
Rationale: Despite advancements in screening, lung cancer remains the leading cause of cancer-related mortality globally. Objectives: To investigate respiratory function as a prognostic factor for survival in the UK Biobank, a population-based cohort of more than 500,000 participants, and the NLST (National Lung Screening Trial), a high-risk screening population of more than 50,000 screenees. Methods: Participants with an incident lung cancer diagnosis and spirometry-assessed lung function were included. Lung cancer was measured as the ratio of forced expiratory volume in 1 second (FEV1) and forced vital capacity and percentage of predicted FEV1. Multivariable Cox proportional hazards models were fitted to estimate the impact of lung function on 5-year overall survival in populations with different baseline lung cancer risks. Results: A total of 2,690 and 609 patients were included in the analysis from the UK Biobank and the NLST, respectively. In the UK Biobank, a higher percentage of predicted FEV1 and ratio were associated with better survival after lung cancer diagnosis, with hazard ratios of 0.97 (95% confidence interval [CI], 0.95-1.00 per 10% increase) and 0.95 (95% CI, 0.90-1.00 per 10% increase), respectively. No statistically significant results were found when assessing the data from the NLST study. Conclusions: Impaired lung function was associated with poorer survival for patients with lung cancer in the general population, although this was less clear in a high-risk, screening-eligible population. This highlights the potential clinical importance of respiratory function as a prognostic factor in lung cancer in the general population and presents a possibility for personalized cancer management.
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Affiliation(s)
- Kiera R. Murison
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Matthew T. Warkentin
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; and
| | - Elham Khodayari Moez
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Yonathan Brhane
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
| | - Geoffrey Liu
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Rayjean J. Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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Aggarwal R, Lam AC, Huang J, Hueniken K, Nguyen D, Khan K, Shaikh T, Shepherd FA, Tsao MS, Xu W, Kavanagh J, Liu G. Stratification and management of patients ineligible for lung cancer screening. Respir Med 2021; 188:106610. [PMID: 34592536 DOI: 10.1016/j.rmed.2021.106610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 08/26/2021] [Accepted: 09/05/2021] [Indexed: 11/16/2022]
Abstract
This study identifies participants ineligible for lung cancer screening with the greatest likelihood of future eligibility. Lung cancer risk in participants enrolled in longitudinal lung screening was assessed using the Prostate, Lung, Colorectal and Ovarian lung cancer risk calculator (PLCOm2012) at two timepoints: baseline (T1) and follow-up (T2). Separate analyses were performed on four PLCOm2012 eligibility thresholds (3.25%, 2.00%, 1.50%, and 1.00%); only participants with a T1 risk less than the threshold were included in that analysis. Cox-models identified T1 risk factors associated with screen-eligibility at T2. Three models, applying differing assumptions of participant behavior, predicted future eligibility and were benchmarked against the observed cohort. Nine hundred and fifty-six participants had a T1 risk <3.25%; at 2.00% n= 755; at 1.50% n= 652; at 1.00% n= 484. Lung cancer risk increased over time in most screen-ineligible participants. However, risk increased much faster in participants who became screen-eligible at T2 compared to those who remained screen-ineligible (median per-year increase of 0.35% versus 0.02%, when using a 3.25% threshold). Participants smoking for >30 years, current smokers, less educated participants, and those with chronic obstructive pulmonary disease (COPD) at T1 were significantly more likely to become screen-eligible. New diagnoses of COPD and/or non-lung cancers between T1 and T2 precipitated eligibility in a subset of participants. The prediction model that assumed health behaviors observed at T1 continued to T2 reasonably predicted changes in lung cancer risk. This prediction model and the identified baseline risk factors can identify screen-ineligible participants who should be closely followed for future eligibility.
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Affiliation(s)
- Reenika Aggarwal
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, M5T 3M7, Canada; Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, M5S 1A8, Canada
| | - Andrew Cl Lam
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada; Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, M5S 1A8, Canada
| | - Jingyue Huang
- Department of Biostatistics, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada
| | - Katrina Hueniken
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada
| | - Daniel Nguyen
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada
| | - Khaleeq Khan
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada
| | - Taariq Shaikh
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada
| | - Frances A Shepherd
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada; Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, M5S 1A8, Canada
| | - Ming-Sound Tsao
- Department of Pathology, Laboratory Medicine, University Health Network, 585 University Ave, Toronto, M5B 2N2, Canada; Department of Medical Biophysics, University of Toronto, 101 College St, Toronto, M5G 1L7, Canada
| | - Wei Xu
- Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, M5T 3M7, Canada; Department of Biostatistics, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada
| | - John Kavanagh
- Joint Department of Medical Imaging, University Health Network, 263 McCaul St, Toronto, M5T 1W7, Canada.
| | - Geoffrey Liu
- Division of Medical Oncology, Princess Margaret Cancer Centre, 610 University Ave, Toronto, M5G 2C1, Canada; Dalla Lana School of Public Health, University of Toronto, 155 College St, Toronto, M5T 3M7, Canada; Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, M5S 1A8, Canada; Department of Medical Biophysics, University of Toronto, 101 College St, Toronto, M5G 1L7, Canada; Institute of Medical Science, University of Toronto, 1 King's College Cir, Toronto, M5S 1A8, Canada; Pharmacology and Toxicology, University of Toronto, 1 King's College Cir, Toronto, M5S 1A8, Canada
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