EGFR-Tyrosine Kinase Inhibitor Retreatment in Non-Small-Cell Lung Cancer Patients Previously Exposed to EGFR-TKI: A Systematic Review and Meta-Analysis.
Isabella MichelonMaysa VilbertCaio Ernesto do Rego CastroCarlos SteccaMaria Inez DacoregioManglio RizzoVladmir Cláudio Cordeiro de LimaLudimila CavalcantePublished in: Journal of personalized medicine (2024)
We performed a systematic review and meta-analysis to assess the efficacy of EGFR-tyrosine kinase inhibitors (TKI) retreatment in advanced/metastatic non-small-cell lung cancer (NSCLC) patients. We systematically searched PubMed, Embase, Cochrane databases, ASCO, and ESMO websites for studies evaluating EGFR-TKI retreatment in advanced/metastatic NSCLC patients. All analyses were performed using R software (v.4.2.2). We included 19 studies (9 CTs and 10 retrospective cohorts) with a total of 886 patients. In a pooled analysis of all patients during retreatment with TKI, median OS was 11.7 months (95% confidence interval [CI] 10.2-13.4 months) and PFS was 3.2 months (95% CI 2.5-3.9 months). ORR was 15% (95% CI 10-21%) and DCR was 61% (95% CI 53-67%). The subanalysis by generation of TKI in the rechallenge period revealed a slightly better ORR for patients on 3rd generation TKI ( p = 0.05). Some limitations include the high heterogeneity of some of the analyses and inability to perform certain subanalyses. Our results unequivocally support the benefit of EGFR-TKI rechallenge in EGFR-mutated NSCLC patients progressing on TKI treatment after a TKI-free interval. These findings may be especially valuable in areas where access to novel therapeutic drugs and clinical trials is limited.
Keyphrases
- small cell lung cancer
- tyrosine kinase
- end stage renal disease
- ejection fraction
- advanced non small cell lung cancer
- newly diagnosed
- clinical trial
- epidermal growth factor receptor
- peritoneal dialysis
- prognostic factors
- squamous cell carcinoma
- single cell
- randomized controlled trial
- patient reported outcomes
- chronic myeloid leukemia
- cross sectional
- big data
- artificial intelligence
- replacement therapy
- phase ii