Panelists discuss how resistance mechanisms influence frontline therapy selection, with clinicians considering comutational status, brain and liver involvement, and disease burden when choosing combination therapies, while acknowledging the chess-like strategic thinking required to balance optimal progression-free survival with future treatment options, especially given that 25% to 30% of patients may not receive second-line therapy.
This segment explores how resistance mechanisms influence frontline treatment selection for EGFR-mutant metastatic non–small cell lung cancer. The discussion centers on whether anticipated resistance patterns should factor into initial treatment decisions or whether having multiple therapeutic options available for sequencing is more important. The panel emphasizes that resistance considerations do play a role in treatment selection, with specific attention to comutational status at diagnosis, brain involvement, liver involvement, and overall disease burden as key factors favoring combination therapy approaches.
The clinical rationale for combination therapy selection involves understanding specific resistance mechanisms and available therapeutic options. The panel notes that amivantamab’s bispecific mechanism inhibits both EGFR and MET pathways, potentially reducing MET resistance development. When MET resistance does occur, multiple treatment options remain available, including MET inhibitors like tepotinib and capmatinib, as well as amivantamab itself. However, the primary focus remains on achieving prolonged progression-free survival and optimal overall survival data rather than solely preventing specific resistance mechanisms. The goal is providing patients with the longest and most durable response possible while maintaining flexibility for future treatment decisions.
The treatment selection process is characterized as strategic, chess-like thinking that requires considering multiple moves ahead. However, this forward-thinking approach must be balanced against the sobering reality that approximately 25% to 30% of patients never receive second-line therapy, emphasizing the critical importance of frontline treatment optimization. This statistic underscores the tension between reserving certain therapies for later lines vs using the most effective combination up front. The discussion highlights the complexity of treatment sequencing decisions, where clinicians must weigh the potential benefits of aggressive initial therapy against maintaining future treatment options, all while acknowledging that a significant portion of patients may not have the opportunity to benefit from subsequent therapeutic interventions.