Neoadjuvant Erlotinib and Surgical Resection of a Stage IIIA Papillary Adenocarcinoma of the Lung with an L861Q Activating EGFR Mutation
Bibliographic record
Abstract
The use of epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) is evolving, as is an understanding of predictive biomarkers for tumour response in non-small-cell lung cancer (NSCLC). In this report, we describe a case of rapidly progressing, borderline-resectable, clinical stage IIIA (micro) papillary adenocarcinoma in a 78-year-old woman who experienced a profound response to neoadjuvant erlotinib without short-term toxicity. On EGFR mutation testing, this patient had an uncommon activating point mutation at L861Q in exon 21. Her response permitted successful surgical resection with negative margins and avoidance of chemoradiation, which she was deemed too frail to tolerate. Our case addresses unique management issues such as preoperative testing for EGFR mutation, utility of histology in predicting EGFR mutations, and use of EGFR-TKIs pre- and postoperatively for potentially resectable NSCLC.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".