Effect of dose adjustment on the safety and efficacy of afatinib for EGFR mutation-positive lung adenocarcinoma: post hoc analyses of the randomized LUX-Lung 3 and 6 trials
Bibliographic record
Abstract
BACKGROUND: Afatinib 40 mg/day is approved for first-line treatment of EGFR mutation-positive non-small-cell lung cancer (NSCLC). In the case of drug-related grade ≥3 or selected prolonged grade 2 adverse events (AEs), the dose can be reduced by 10 mg decrements to a minimum of 20 mg. Here, we evaluate the influence of afatinib dose reduction on AEs, pharmacokinetics and progression-free survival (PFS) in the phase III LUX-Lung 3 and 6 (LL3/6) trials. PATIENTS AND METHODS: Treatment-naïve patients with advanced EGFR mutation-positive NSCLC in LL3 (global) and LL6 (China, Thailand, South Korea) were randomized to afatinib or chemotherapy. All afatinib-treated patients (LL3, n = 229; LL6, n = 239) were included in the post hoc analyses. Incidence and severity of common AEs before and after afatinib dose reduction were assessed. Afatinib plasma concentrations were compared in patients who reduced to 30 mg versus those remaining at 40 mg. PFS was compared between patients who dose reduced within the first 6 months of treatment and those who did not. RESULTS: Dose reductions occurred in 53.3% (122/229) and 28.0% (67/239) of patients in LL3 and LL6, respectively; most (86.1% and 82.1%) within the first 6 months of treatment. Dose reduction led to decreases in the incidence of drug-related AEs, and was more likely in patients with higher afatinib plasma concentrations. On day 43, patients who dose reduced to 30 mg (n = 59) had geometric mean afatinib plasma concentrations of 23.3 ng/ml, versus 22.8 ng/ml in patients who remained on 40 mg (n = 284). The median PFS was similar in patients who dose reduced during the first 6 months versus those who did not {LL3: 11.3 versus 11.0 months [hazard ratio (HR) 1.25]; LL6: 12.3 versus 11.0 months (HR 1.00)}. CONCLUSIONS: Tolerability-guided dose adjustment is an effective measure to reduce afatinib-related AEs without affecting therapeutic efficacy. CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov identifiers: NCT00949650 and NCT0112393.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.012 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".