Response to crizotinib in a non-small-cell lung cancer patient harboring an <em>EML4-ALK</em> fusion with an atypical <em>LTBP1</em> insertion
Bibliographic record
Abstract
Abstract: Fusion of the anaplastic lymphoma receptor tyrosine kinase gene ( ALK ) with the echinoderm microtubule-associated protein 4 gene ( EML4 ) is the second most common actionable alteration in non-small-cell lung cancer, with a frequency of 5%. Here, we present a case of an EML4-ALK-positive patient with an atypical in-frame insertion from the LTBP1 gene in the canonical junction of variant 1 . The patient was a 39-year-old never-smoker female diagnosed with Stage IV lung adenocarcinoma. A core biopsy was negative for EGFR and KRAS mutations but positive for ALK immunohistochemistry and fluorescence in situ hybridization. When submitted to nCounter, the sample showed a 3 ' /5 ' imbalance indicative of an ALK rearrangement, but failed to give a positive signal for any of the variants tested. Finally, a band with a molecular weight higher than expected appeared after reverse transcriptase-polymerase chain reaction analysis. When Sanger sequencing was performed, the band revealed an atypical EML4-ALK fusion gene with an in-frame 129 bp insertion. A 115 bp segment of the insertion corresponded to an intronic region of LTBP1 , a gene located in the short arm of chromosome 2, between ALK and EML4 . The patient received crizotinib and showed a good therapeutic response that is still ongoing after 12 months. Our result suggests that short in-frame insertions of other genes in the EML4-ALK junction do not affect the sensitivity of the EML4-ALK fusion protein to crizotinib. Keywords: lung cancer, NSCLC, EML4-ALK , LTBP1 , crizotinib, targeted therapy
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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) | 0.001 | 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 | 0.001 | 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".