Randomized Phase II Study of Gemcitabine Plus Cisplatin or Carboplatin, With or Without Cetuximab, As First-Line Therapy for Patients With Advanced or Metastatic Non–Small-Cell Lung Cancer
Bibliographic record
Abstract
PURPOSE: To evaluate the efficacy of cetuximab added to first-line gemcitabine/platinum in chemotherapy-naïve patients with advanced non-small-cell lung cancer (NSCLC). PATIENTS AND METHODS: In this noncomparative, randomized trial, chemotherapy-naïve patients with recurrent/metastatic NSCLC (stage IV or stage IIIB with malignant pleural effusion) were eligible. Patients received cisplatin (75 mg/m2 i.v., every 3 weeks) or carboplatin (area under the concentration-versus-time curve of 5 intravenously [i.v.], every 3 weeks), and gemcitabine (1,250 or 1,000 mg/m2 i.v., days 1 and 8) plus cetuximab (400 mg/m2 i.v. day 1, followed by 250 mg/m2 weekly), in arm A, or chemotherapy alone, in arm B. Response rate was the primary end point; safety, progression-free survival, and overall survival were secondary end points. RESULTS: Sixty-five patients were randomly assigned to arm A and 66 to arm B. Partial responses were observed in 18 patients (27.7%; 95% CI, 17.3 to 40.2) in arm A and 12 (18.2%; 95% CI, 9.8 to 29.6) in arm B. Median progression-free survival was 5.09 months for arm A (95% CI, 4.17 to 5.98) and 4.21 months (95% CI, 3.81 to 5.49) in arm B. Median overall survival was 11.99 months (95% CI, 8.80 to 15.18) and 9.26 months (95% CI, 7.43 to 11.79) in arms A and B, respectively. Overall toxicity was acceptable and consistent with the profiles of the individual agents. CONCLUSION: First-line treatment with cetuximab plus gemcitabine/platinum is well tolerated and can be administered safely in patients with advanced NSCLC. Differences in response rate, progression-free survival, and overall survival suggest that the addition of cetuximab to platinum/gemcitabine may improve clinical outcomes. Larger studies are in progress to address this hypothesis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".