Afatinib (A) vs erlotinib (E) as second-line treatment of patients (pts) with advanced squamous cell carcinoma (SCC) of the lung following first-line platinum-based chemotherapy: Patient-reported outcome (PRO) data from the LUX-Lung 8 Phase III global trial.
Bibliographic record
Abstract
8100 Background: A is an irreversible ErbB family blocker that has shown clinical activity in pts with SCC of the head/neck and lung. The LUX-Lung 8 Phase III global trial compared A and E in pts with SCC of the lung following failure of platinum-based chemotherapy. Between Mar 2012 and Jan 2014, 795 stage IIIB/IV SCC pts were randomized 1:1 to receive A (40 mg/day) or E (150 mg/day) until progression. The primary endpoint of PFS, assessed after 414 events, was significantly higher for A than E (median: 2.4 vs 1.9 months; HR [95% CI]: 0.82 [0.68–1.00]; p = 0.04). PRO analyses of the PFS dataset are presented here. Updated PRO analysis of the OS dataset (to be undertaken after 632 deaths) will be available at the meeting. Methods: PROs were collected every 28 days until progression using the EORTC QLQ-C30/LC13 questionnaires. Percentage of pts improved on therapy, time-to-deterioration (TTD) and changes over time were analyzed for the pre-specified SCC symptoms: cough, dyspnea, and pain. Results: Improvement in global health status (GHS)/QoL was significantly greater with A than E (36.4 vs 27.1% pts; p = 0.026). More pts had an improvement in cough with A vs E (43.6 vs 32.6%; p = 0.010). The proportion of pts with improvements in dyspnea and pain were 49.4 vs 44.8% and 37.5 vs 37.5% with A and E, respectively. There were no significant differences in TTD of symptoms between treatment groups. However, trends favoring A were reported for dyspnea (HR [95% CI]: 0.82 [0.66–1.01]), fatigue (HR [95% CI]: 0.89 [0.73–1.09]), physical (HR [95% CI]: 0.81 [0.64–1.02]), and role (HR [95% CI]: 0.83 [0.67–1.03]) functioning. Changes in mean scores over time significantly favored A vs E for cough (p = 0.007), dyspnea (p = 0.021), and pain (p = 0.024), including chest pain, as well as fatigue (p = 0.006) and role (p = 0.001)/physical (0.024) functioning. Conclusions: Compared to E, A improved SCC symptoms, SCC symptoms over time, and overall GHS/QoL. PRO analyses of LUX-Lung 8 complement the significant improvement observed in PFS with second-line A vs E in pts with SCC of the lung. Clinical trial information: NCT01523587.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".