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Respiratory Function as a Prognostic Factor for Lung Cancer in Screening and General Populations
Kiera R Murison1,2, Matthew T Warkentin1,3, Elham Khodayari Moez1
1Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Ontario, Canada.
Respiratory function, measured by spirometry, predicts lung cancer survival in the general population. Poor lung function indicates worse outcomes, suggesting personalized cancer management potential.
Area of Science:
- Pulmonology
- Oncology
- Epidemiology
Background:
- Lung cancer is a leading global cause of cancer mortality.
- Screening advancements have improved detection but not fully mitigated mortality.
- Prognostic factors beyond traditional staging are crucial for personalized treatment.
Purpose of the Study:
- To evaluate respiratory function as a prognostic indicator for lung cancer survival.
- To analyze data from the UK Biobank (general population) and the National Lung Screening Trial (high-risk population).
Main Methods:
- Inclusion of patients with incident lung cancer and spirometry data.
- Measurement of lung function using forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC).
- Application of multivariable Cox proportional hazards models to assess survival impact.
Main Results:
- In UK Biobank, higher predicted FEV1 and FEV1/FVC ratio correlated with better 5-year overall survival.
- Hazard ratios indicated improved survival with better lung function in the general population.
- No statistically significant association was found in the high-risk NLST cohort.
Conclusions:
- Impaired lung function is linked to poorer lung cancer survival in the general population.
- The prognostic value of lung function was less evident in a high-risk screening population.
- Respiratory function may serve as a valuable prognostic factor for personalized lung cancer management.
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