Initial Diagnosis of <i>ALK</i>-Positive Non-Small-Cell Lung Cancer Based on Analysis of <i>ALK</i> Status Utilizing Droplet Digital PCR
Bibliographic record
Abstract
We describe a novel droplet digital PCR (ddPCR) assay capable of detecting genomic alterations associated with inversion translocations. It is applied here to detection of rearrangements in the anaplastic lymphoma kinase (ALK) gene associated with ALK-positive non-small-cell lung cancer (NSCLC). NSCLC patients may carry a nonreciprocal translocation on human chromosome 2, in which synchronized double stranded breaks (DSB) within the echinoderm microtubule-associated protein-like 4 (EML4) gene and ALK lead to an inversion of genetic material that forms the non-natural gene fusion EML4-ALK encoding a constitutively active tyrosine kinase that is associated with 3 to 7% of all NSCLCs. Detection of ALK rearrangements is currently achieved in clinics through direct visualization via a fluorescent in situ hybridization (FISH) assay, which can detect those rearrangements to a limit of detection (LOD) of ca. 15%. We show that the ddPCR assay presented here provides a LOD of 0.25% at lower cost and with faster turnaround times.
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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 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".