Molecular and Clinicopathological Characteristics of Lung Cancer Concomitant Chronic Obstructive Pulmonary Disease (COPD)

Autor: Ma H, Zhang Q, Zhao Y, Zhang Y, Zhang J, Chen G, Tan Y, Duan Q, Sun T, Qi C, Li F
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: International Journal of COPD, Vol Volume 17, Pp 1601-1612 (2022)
Druh dokumentu: article
ISSN: 1178-2005
Popis: Hongxia Ma,1 Qian Zhang,1 Yanwen Zhao,1 Yaohui Zhang,1 Jingjing Zhang,1 Guoqing Chen,1 Yuan Tan,2– 4 Qin Zhang,2– 4 Qianqian Duan,2– 4 Tingting Sun,2– 4 Chuang Qi,2– 4 Fengsen Li1 1Pneumology Department, The Fourth Affiliated Hospital of Xinjiang Medical University, Urumqi, The Xinjiang Uygur Autonomous Region, People’s Republic of China; 2The Medical Department, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, Jiangsu Province, People’s Republic of China; 3Nanjing Simcere Medical Laboratory Science Co., Ltd, Nanjing, Jiangsu Province, People’s Republic of China; 4The State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd, Nanjing, Jiangsu Province, People’s Republic of ChinaCorrespondence: Fengsen Li, Pneumology department, The Fourth Affiliated Hospital of Xinjiang Medical University, Urumqi, The Xinjiang Uygur Autonomous Region, People’s Republic of China, Email drmahongxia@163.comIntroduction: Chronic obstructive pulmonary disease (COPD) and lung cancer often coexist, but its pathophysiology and genomics features are still unclear.Methods: In this study, we retrospectively collected lung cancer concomitant COPD (COPD-LC) and non-COPD lung cancer (non-COPD-LC) patients, who performed next generation sequencing (NGS) and had clinicopathological information simultaneously. The COPD-LC data from the TCGA cohort were collected to conduct further analysis.Results: A total of 51 COPD-LC patients and 88 non-COPD-LC patients were included in the study. Clinicopathological analysis showed that proportion of male gender, older age, and smoking patients were all substantially higher in COPD-LC group than in non-COPD-LC group (all P< 0.01). Comparing the genomic data of the two groups in our cohort, COPD-LC had higher mutation frequency of LRP1B (43% vs 9%, P = 0.001), EPHA5 (24% vs 1%, P = 0.002), PRKDC (14% vs 1%, P = 0.039), PREX2 (14% vs 0%, P = 0.012), and FAT1 (14% vs 0%, P = 0.012), which had a relationship with improved tumor immunity. Immunotherapy biomarker of PD-L1 positive expression (62.5% vs 52.0%, P = 0.397) and tumor mutation burden (TMB, median TMB: 7.09 vs 2.94, P = 0.004) also were higher in COPD-LC. In addition, RNA data from TCGA further indicated tumor immunity increased in COPD-LC. Whereas, COPD-LC had lower frequency of EGFR mutation (19% vs 50%, P = 0.013) and EGFR mutant COPD-LC treated with EGFR-TKI had worse progression-free survival (PFS) (HR = 3.52, 95% CI: 1.27– 9.80, P = 0.01).Conclusion: In this retrospective study, we first explored molecular features of COPD-LC in a Chinese population. Although COPD-LC had lower EGFR mutant frequency and worse PFS with target treatment, high PD-L1 expression and TMB indicated these patients may benefit from immunotherapy.Keywords: lung cancer, COPD, mutation landscape, Chinese population, molecular markers
Databáze: Directory of Open Access Journals