Synchronous Double Primary Lung Adenocarcinomas With <i>EGFR</i> L858R Point Mutation and <i>MET</i> Exon 14 Skipping Mutation
Bibliographic record
Abstract
Various driver mutations and the corresponding molecular-targeted drugs have been detected and developed in non-small cell lung cancer. There were many cases in which surgical specimens had happened to find double primary cancers. However, to our knowledge, our case was the first report of synchronous double primary lung adenocarcinomas harboring epidermal growth factor receptor ( EGFR ) L858R and mesenchymal-to-epithelial transition ( MET ) exon 14 skipping mutations. A 75-year-old Japanese woman with chronic heart and renal failures was referred to our department because of a growing nodule in the right upper lung field on chest X-ray films. Chest computed tomography (CT) detected a nodule in the right S 1 and another nodule in the left S 1+2 . Bronchoscopic biopsy diagnosed the right S 1 nodule as moderately differentiated adenocarcinoma. Oncomine Dx Target Test Multi-CDx system of the right S 1 adenocarcinoma detected EGFR L858R mutation. The 18 F -fluorodeoxyglucose positron emission tomography/CT showed abnormal uptakes both in the right S 1 and the left S 1+2 nodules, and in the bilateral inferior paratracheal lymph nodes. We made a diagnosis of c-stage IIIA (cT 1b N 2 M 0 ) of adenocarcinoma in the right S 1 and suspected another primary lung cancer in the left S 1+2 . Considering her general conditions, comorbidities and wishes, we started osimertinib. The right S 1 cancer achieved partial response (PR), while the left S 1+2 nodule and lymph nodes enlarged. Aspiration cytology from the left supraclavicular lymph node showed adenocarcinoma. The FoundationOne ® Liquid CDx tumor profiling test detected not only EGFR L858R, but also MET exon 14 skipping mutation. We made a diagnosis of another primary adenocarcinoma from the left S 1+2 nodule (cT 1b N 3 M 0 , c-stage IIIB) with MET mutation, and changed osimertinib to capmatinib. Although the left S 1+2 cancer achieved and maintained PR by capmatinib, the right S 1 cancer increased, and several new metastases appeared. The subsequent switch from capmatinib to osimertinib could not control cancers. In this case, we tried to switch monotherapies from osimertinib to capmatinib for double primary adenocarcinomas harboring different two driver mutations, according to each cancer progression. The temporal and spatial heterogeneity reinforces the need for primary tissue biopsy if dual primaries are suspected. Temporally distinct liquid biopsies, not standard at present, may be considered. J Med Cases. 2024;15(8):153-158 doi: https://doi.org/10.14740/jmc4210
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".