Categories
Nevin Manimala Statistics

Ethnic disparities in survival and progression among EGFR-mutated adenocarcinoma of lung cancer patients treated with tyrosine kinase inhibitors: a systematic review and meta-analysis

Clin Transl Oncol. 2025 Jan 11. doi: 10.1007/s12094-024-03843-4. Online ahead of print.

ABSTRACT

BACKGROUND: The benefit of treatment with tyrosine kinase inhibitors targeting the epidermal growth factor receptor (EGFR-TKI) for lung adenocarcinoma (ADC), stratified by ethnicity, has not yet been fully elucidated.

METHODS: We searched PubMed, Embase, and Cochrane databases for studies that investigated EGFR-TKI for lung ADC. We computed hazard ratios (HRs) or risk ratios (RRs) for binary endpoints, with 95% confidence intervals (CIs). We used DerSimonian and Laird random-effect models for all endpoints. Heterogeneity was assessed using I2 statistics. R, version 4.2.3, was used for statistical analyses.

RESULTS: A total of 18 studies, comprising 4,497 patients with lung ADC randomized to TKIs or chemotherapy alone. TKIs significantly improved OS (HR 0.91; 95% CI 0.88-0.95), PFS (HR 0.60; 95% CI 0.38-0.97), and ORR (HR 0.34; 95% CI 0.25-0.48) in Asian patients, compared with the chemotherapy alone. In Caucasian patients, TKIs significantly improved PFS compared with chemotherapy alone (HR 0.34; 95% CI 0.25-0.48) and ORR(RR 2.35; 95% CI: 1.05-5.28). TKIs significantly reduced any adverse events of any grade in patients with mixed ethnicity (RR 0.86; 95% CI 0.76-0.98) and any adverse events of grade ≥ 3 in Caucasian patients (RR 0.67; 95% CI 0.51-0.89).

CONCLUSIONS: This is the first meta-analysis to reveal the ethnic influence on the outcomes of oncologic treatments for patients with lung ADC. In collaboration with in-depth molecular characterization, these data will allow the creation of a clinical-pathological predictive model to increase the magnitude of the expected benefit for patients from different ethnic groups.

PMID:39797945 | DOI:10.1007/s12094-024-03843-4

By Nevin Manimala

Portfolio Website for Nevin Manimala