Presence of Chronic Obstructive Pulmonary Disease (COPD) Impair Survival in Lung Cancer Patients Receiving Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitor (EGFR-TKI): A Nationwide, Population-Based Cohort Study.
Chia-Che WuKun-Ming RauWei-Chieh LeeMeng-Che HsiehJia-Sin LiuYen-Yang ChenHarvey Yu-Li SuPublished in: Journal of clinical medicine (2019)
The emergence of epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) caused a paradigm shift in the treatment of non-small cell lung cancer (NSCLC). Although several clinicopathologic factors to predict the response to and survival on EGFR-TKI were recognized, its efficacy has not been confirmed for patients with underlying pulmonary disease, such as chronic obstructive pulmonary disease (COPD). We conducted the study to evaluate the impact of COPD on survival for NSCLC patients that underwent EGFR-TKI treatment. The nationwide study obtained clinicopathologic data from the National Health Insurance Research Database in Taiwan between 1995 and 2013. Patients receiving EGRR-TKI were divided into COPD and non-COPD groups, and adjusted for age, sex, comorbidities, premium level and cancer treatments. Overall survival (OS) and progression-free survival (PFS) were calculated by Kaplan-Meier analysis. In total, 21,026 NSCLC patients were enrolled, of which 47.6% had COPD. After propensity score (PS) matching, all covariates were adjusted and balanced except for age (p < 0.001). In the survival analysis, the median OS (2.04 vs. 2.28 years, p < 0.001) and PFS (0.62 vs. 0.69 years, p < 0.001) of lung cancer with COPD were significantly worse than those without COPD. Lung cancer patients on EGFR-TKI treatment had a worse survival outcome if patients had pre-existing COPD.
Keyphrases
- epidermal growth factor receptor
- tyrosine kinase
- chronic obstructive pulmonary disease
- advanced non small cell lung cancer
- small cell lung cancer
- lung function
- free survival
- end stage renal disease
- health insurance
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- pulmonary hypertension
- emergency department
- squamous cell carcinoma
- cystic fibrosis
- air pollution
- young adults
- replacement therapy
- big data
- quality improvement
- machine learning
- artificial intelligence