Erlotinib as Second-Line Therapy for Patients with Advanced Non-Small-Cell Lung Cancer and Wild-Type EGFR Tumors
Bibliographic record
Abstract
Aim: The objective of the study was to determine the efficacy and safety of erlotinib in second-line therapy for patients with advanced non-small-cell lung carcinoma (NSCLC) and wild-type tumors, measuring progression-free survival (PFS), the response rate, and overall survival (OS). Material and Methods: This retrospective, observational, and multicenter study involved 47 patients diagnosed with NSCLC and wild-type epidermal growth factor receptor(EGFR) who received erlotinib as second-line therapy in four Spanish hospitals. Primary and secondary endpoints included the determination of the efficacy (by measuring progression-free survival, PFS, the response rate, and overall survival, OS) and safety profile of erlotinib. Results: The median PFS was 2.33 months (95% CI, 0.4-10.9). No differences in PFS were found regarding sex, age, smoking habits, ECOG performance status, and tumor histology. The median OS was 4.00 months (95% CI, 1.18-6.82). Four patients developed grade 3-4 non-hematological toxicities, including asthenia, cutaneous toxicity, and renal failure. One patient developed grade 3-4 thrombocytopenia. Conclusion: Our study corroborates the modest but clear benefit of second-line agents, including erlotinib, for the treatment of advanced NSCLC, and supports their administration in patients with wild-type EGFR. Further prospective studies involving large number of patients are required to corroborate such results.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".