Complex Germline K757N Mutation in Non-Small-Cell Lung Cancer: A Case Report
Bibliographic record
Abstract
Epidermal growth factor receptor (EGFR) mutations are usually oncogenic drivers of lung tumor development and progression. While common sensitizing mutations respond well to targeted therapy, the relevance of germline EGFR mutations is less clear. We describe a 65-year-old, previously healthy, male diagnosed with non-small-cell lung cancer. Familial history for lung cancer is negative. Targeted next-generation sequencing on the tumor biopsy sample revealed an atypical EGFR K757N mutation at 50% allele frequency and genetic review of a previously acquired gastric sample confirms the mutation as a germline change. He received standard first-line chemoimmunotherapy with carboplatin, pemetrexed, and pembrolizumab, and after 8 months therapy continues, with stable disease, to receive maintenance pemetrexed and pembrolizumab. To our knowledge, this is the first report of an atypical, germline K757N EGFR mutation. While the clinical relevance of this mutation is unclear, standard reporting of the allelic frequency of novel, atypical mutations can detect potential germline changes.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".