Radiographic Features and Prognosis of Early- and Late-onset Non-small Cell Lung Cancer Immune Checkpoint Inhibitor-related Pneumonitis
作者:Aiben Huang, Yang Xu, Xuelei Zang, Chongchong Wu, Jie Gao, Xiaoli Sun, Mei Xie, Xidong Ma, Hui Deng, Jialin Song, Fangping Ren, Li Pang, Qian Jin, Zhaofeng Yu, Shiyu Wan, Yuanyuan Chen, Lei Pan, Guanglei Zhuang, Sanhong Liu, Xinying Xue · 发表于:Research Square · 年份:2021 · DOI:10.21203/rs.3.rs-171264/v2 · 研究领域:Lung Cancer Treatments and Mutations、Cancer Immunotherapy and Biomarkers、Colorectal Cancer Treatments and Studies
Abstract Background: Immunotherapy is becoming a standard of care for non-small cell lung cancer (NSCLC). Checkpoint inhibitor-associated pneumonia (CIP) is a rare and potentially life-threatening event that can occur at any time during tumor immunotherapy. However, there may be differences in the radiological patterns and prognosis of CIP during different periods. This study aimed to investigate the radiographic features and prognosis of early- and late-onset immune-related pneumonitis. Methods: We retrospectively analyzed the clinical data of 677 NSCLC patients receiving immunotherapy to identify 32 patients with CIP who were being effectively treated by hormonotherapy, analyzed the clinical and radiographic data, and summarized the radiological features and prognosis of early- and late-onset CIP. Results: CIP had an incidence of 4.7%, a median onset time of 2.4 months, and a mortality of 28.1%. Among these, CIP included 14 early-onset cases, where grade ≥3 CIP accounted for 92.9%, main radiographic pattern was organizing pneumonia (OP)-like pattern, and mortality was 50.0%. We also identified 18 late-onset CIPs, where grade ≥3 CIP accounted for 50.0%, main radiographic pattern was nonspecific interstitial pneumonia (NSIP)-like pattern, and mortality was 11.1%. The overall survival rate of the early-onset group was significantly lower than that of the late-onset group (P < 0.05). Conclusion: Early-onset CIP cases were higher in the National Comprehensive Cancer Network (...