PATIENTS AND METHODS: Patients were 18 years and older with no previous systemic anticancer therapy. Neurologically stable patients with CNS metastases were allowed. Patients were randomly assigned 1:1 to lazertinib 240 mg once daily orally or gefitinib 250 mg once daily orally, stratified by mutation status and race. The primary end point was investigator-assessed progression-free survival (PFS) by RECIST v1.1.
RESULTS: Overall, 393 patients received double-blind study treatment across 96 sites in 13 countries. Median PFS was significantly longer with lazertinib than with gefitinib (20.6 v 9.7 months; hazard ratio [HR], 0.45; 95% CI, 0.34 to 0.58; P < .001). The PFS benefit of lazertinib over gefitinib was consistent across all predefined subgroups. The objective response rate was 76% in both groups (odds ratio, 0.99; 95% CI, 0.62 to 1.59). Median duration of response was 19.4 months (95% CI, 16.6 to 24.9) with lazertinib versus 8.3 months (95% CI, 6.9 to 10.9) with gefitinib. Overall survival data were immature at the interim analysis (29% maturity). The 18-month survival rate was 80% with lazertinib and 72% with gefitinib (HR, 0.74; 95% CI, 0.51 to 1.08; P = .116). Observed safety of both treatments was consistent with their previously reported safety profiles.
CONCLUSION: Lazertinib demonstrated significant efficacy improvement compared with gefitinib in the first-line treatment of EGFR-mutated advanced NSCLC, with a manageable safety profile.
AIM: To determine how to use CAP in interpreting liver stiffness measurements.
METHODS: This is a secondary analysis of data from an individual patient data meta-analysis on CAP. The main exclusion criteria for the current analysis were unknown aetiology, unreliable elastography measurement and data already used for the same research question. Aetiology-specific liver stiffness measurement cut-offs were determined and used to estimate positive and negative predictive values (PPV/NPV) with logistic regression as functions of CAP.
RESULTS: Two thousand and fifty eight patients fulfilled the inclusion criteria (37% women, 18% NAFLD/NASH, 42% HBV, 40% HCV, 51% significant fibrosis ≥ F2). Youden optimised cut-offs were only sufficient for ruling out cirrhosis (NPV of 98%). With sensitivity and specificity-optimised cut-offs, NPV for ruling out significant fibrosis was moderate (70%) and could be improved slightly through consideration of CAP. PPV for significant fibrosis and cirrhosis were 68% and 55% respectively, despite specificity-optimised cut-offs for cirrhosis.
CONCLUSIONS: Liver stiffness measurement values below aetiology-specific cut-offs are very useful for ruling out cirrhosis, and to a lesser extent for ruling out significant fibrosis. In the case of the latter, Controlled Attenuation Parameter can improve interpretation slightly. Even if cut-offs are very high, liver stiffness measurements are not very reliable for ruling in fibrosis or cirrhosis.