Improved treatment outcome of pembrolizumab in patients with nonsmall cell lung cancer and chronic obstructive pulmonary disease.
Sun Hye ShinHye Yun ParkYunjoo ImHyun Ae JungJong-Mu SunJin Seok AhnMyung-Ju AhnKeunchil ParkHo Yun LeeSe-Hoon LeePublished in: International journal of cancer (2019)
Emerging immune profiling data suggest a higher sensitivity to immune checkpoint inhibitors (ICIs) in nonsmall cell lung cancer (NSCLC) patients with chronic obstructive pulmonary disease (COPD), compared to those without COPD. This study aimed to investigate the clinical impact of COPD on the treatment response to ICIs in a large number of patients with NSCLC. In total, 133 patients with spirometry test results were retrospectively identified among those who received palliative pembrolizumab for NSCLC. COPD was defined as pre-bronchodilator forced expiratory volume in 1 s/forced vital capacity <0.7. Overall survival (OS), progression-free survival (PFS), and objective response rate were analyzed according to the presence of COPD. Spirometry-based COPD was present in 59 (44%) patients. Patients with COPD had better OS (hazard ratio [HR] for death, 0.45; 95% confidence interval [CI], 0.26-0.78) and PFS (HR for disease progression or death, 0.50; 95% CI, 0.31-0.79) than those without COPD. These associations persisted after adjusting for potential confounders including smoking history. The response rate was also higher in patients with COPD than in those without COPD (38.2% vs. 20.5%, p = 0.028). Spirometry-defined COPD was associated with a significantly longer OS and PFS in patients with NSCLC treated with palliative pembrolizumab. Identifying coexisting COPD could predict favorable treatment outcomes in patients with NSCLC treated with pembrolizumab.
Keyphrases
- chronic obstructive pulmonary disease
- lung function
- advanced non small cell lung cancer
- small cell lung cancer
- cystic fibrosis
- air pollution
- free survival
- single cell
- cell therapy
- epidermal growth factor receptor
- palliative care
- newly diagnosed
- machine learning
- ejection fraction
- intensive care unit
- electronic health record
- climate change
- bone marrow
- risk assessment
- artificial intelligence
- extracorporeal membrane oxygenation
- patient reported