Effectiveness of standard treatments in non-small-cell lung cancer with METexon14 skipping mutation: a real-world study.
Muhammad FurqanSiddharth KaranthRavi K GoyalBeilei CaiJulien RombiKeith L DavisNydia CaroTeddy SalibaPublished in: Future oncology (London, England) (2024)
Aim: To assess real-world clinical outcomes with standard therapies for advanced non-small-cell lung cancer (aNSCLC) with METexon14 skipping mutation (METex14). Methods: In an oncologists-led retrospective review of medical records, data were abstracted and analyzed for patients initiating first-line (1L) systemic therapy after 1 January 2017. Results: In total 287 aNSCLC patients with METex14, the real-world best overall response rate was 73.4% for capmatinib (n = 146), 68.8% for immunotherapy (IO) monotherapy (n = 48), 52.0% for chemotherapy (CT, n = 30), and 54.8% for IO + CT (n = 63). As compared with capmatinib, patients receiving IO (hazard ratio [HR]: 1.57; 95% CI: 0.77-3.20; p = 0.220), CT (HR: 2.41; 95% CI: 1.19-4.85; p = 0.014) and IO + CT (HR: 2.33; 95% CI: 1.35-4.04; p = 0.003) had higher rates of progression. Further, patients receiving CT (HR: 4.43; 95% CI: 1.54-12.75; p = 0.006) and IO + CT (HR: 3.53, 95% CI: 1.41-8.85; p = 0.007) had higher rates of mortality than patients receiving capmatinib. Conclusion: The study showed better clinical outcomes with capmatinib than other standard therapies in 1L setting for aNSCLC harboring METex14.
Keyphrases
- image quality
- dual energy
- computed tomography
- contrast enhanced
- advanced non small cell lung cancer
- positron emission tomography
- magnetic resonance imaging
- healthcare
- systematic review
- cardiovascular disease
- epidermal growth factor receptor
- type diabetes
- clinical trial
- coronary artery disease
- electronic health record
- machine learning
- mesenchymal stem cells
- cell therapy
- big data
- tyrosine kinase
- drug induced
- data analysis