EGFR-Mutated Lung Adenocarcinoma With Li–Fraumeni Syndrome: The Imperative for Germline Testing in Patients With a Family History, a Case Report
Bibliographic record
Abstract
Comprehensive genomic profiling (CGP) has progressed rapidly and plays an important role in advancing precision medicine in oncology. However, CGP provides opportunities for molecular-targeted therapy, but it also unveils incidental germline findings, posing challenges and opportunities in patient care. We present the case of a 32-year-old female patient, diagnosed with stage IVB lung adenocarcinoma harboring an EGFR p.L746_A750del, who was also subsequently diagnosed with Li–Fraumeni syndrome (LFS) through CGP testing. Remarkably, despite the presence of EGFR mutation, the response to EGFR-tyrosine kinase inhibitor was poor, whereas the response to cytotoxic anticancer drugs and immunotherapy was favorable. After the diagnosis of LFS, she underwent genetic counseling and has been screened for the development of a second cancer based on the Toronto protocol. This case highlights the importance of family history interviews and considering the practice of germline genomic testing for optimal management of lung cancer patients with a hereditary cancer syndrome such as LFS. Further research is warranted to delineate the impact of germline variants on treatment outcomes and secondary cancer prevention in lung cancer.
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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 | 0.001 |
| 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 | 0.001 |
| 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".