Phase II Dose-Randomized Study of Sunvozertinib in Platinum-Pretreated Non–Small Cell Lung Cancer With Epidermal Growth Factor Receptor Exon 20 Insertion Mutations (WU-KONG1B)
Bibliographic record
Abstract
PURPOSE WU-KONG1B (ClinicalTrials.gov identifier: NCT03974022 ) is a multinational phase II, dose-randomized study to assess the antitumor efficacy of sunvozertinib in pretreated patients with advanced non–small cell lung cancer (NSCLC) with epidermal growth factor receptor ( EGFR ) exon 20 insertion mutations (exon20ins). METHODS Eligible patients with advanced-stage EGFR exon20ins NSCLC were randomly assigned by 1:1 ratio to receive sunvozertinib 200 mg or 300 mg once daily (200 and 300 mg-rand cohorts). After predefined interim analysis, additional patients were enrolled and treated with the 300 mg dose once daily. The primary end point was blinded independent review committee (IRC)–assessed confirmed objective response rate (cORR), and the key secondary end point was duration of response (DoR). RESULTS Among 85, 89, and 107 efficacy-evaluable patients in 200 mg-rand, 300 mg-rand, and 300 mg-all (including randomly assigned and nonrandomized patients) cohorts, the cORRs were 45.9% (97.5% CI, 33.6% to 58.5%), 47.2% (97.5% CI, 35.1% to 59.5%), and 45.8% (97.5% CI, 34.8% to 57.0%), respectively, per IRC assessment. The predefined null hypothesis was rejected with statistical significance ( P < .0001). Comparing 300 and 200 mg-rand cohorts, higher cORRs were observed in patients with baseline brain metastasis (52.4% v 28.6%) and previous amivantamab treatment (41.7% v 25%), as well as longer DoR (13.8 v 11.1 months). At 200 and 300 mg once daily, the most common treatment-related adverse events with grade ≥3 included diarrhea (2.2% v 18%), blood creatine phosphokinase increased (6.6% v 12.6%), and anemia (4.4% v 6.3%). CONCLUSION Sunvozertinib is efficacious at both 200 and 300 mg once daily in treating platinum-pretreated patients with advanced EGFR exon20ins NSCLC. The treatment-related adverse events of sunvozertinib were consistent with an EGFR tyrosine kinase inhibitor, with a more favorable safety profile at 200 mg than 300 mg once daily.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".