Network meta analysis of first-line therapy for advanced EGFR mutation positive non-small-cell lung cancer: updated overall survival

Autor: MeganS Farris, Keith D. Wilner, Malaika Pastel, Devon J. Boyne, Kelly A Larkin-Kaiser, Jasmina I Ivanova, Tayler Scory, Joseph C. Cappelleri
Rok vydání: 2020
Předmět:
Zdroj: Future Oncology. 16:3107-3116
ISSN: 1744-8301
1479-6694
DOI: 10.2217/fon-2020-0541
Popis: Aim: To update overall survival (OS) results from a previous network meta analysis comparing the relative clinical efficacy of epidermal growth factor receptor-targeted tyrosine kinase inhibitors ( EGFR TKIs) for EGFR mutation positive ( EGFR+) advanced non-small-cell lung cancer (NSCLC). Materials & methods: A Bayesian network meta analysis was conducted using updated/mature randomized controlled trial OS results in response to first-line EGFR TKI therapies. Results: Dacomitinib showed a numerical improvement of OS relative to other EGFR TKIs: afatinib (hazard ratio [HR]: 0.87; 95% credible interval [CrI]: 0.61–1.24), erlotinib (HR: 0.79; 95% CrI: 0.44–1.42), gefitinib (HR: 0.75; 95% CrI: 0.59–0.95) and osimertinib (HR: 0.94; 95% CrI: 0.68–1.29). Conclusion: Dacomitinib should be considered as a first-line treatment option for patients diagnosed with advanced EGFR+ NSCLC.
Databáze: OpenAIRE