Detection of Novel t(12;17)(p12;p13) in Relapsed Refractory Acute Myeloid Leukemia by Anchored Multiplex PCR(AMP)-based Next-Generation Sequencing
Bibliographic record
Abstract
Although several technologies can be used to detect gene fusions, anchored multiplex PCR next-generation sequencing (AMP-NGS) offers the advantage of novel fusion detection and the ability to multiplex multitudinous genes. We applied AMP-NGS technology in the evaluation of a 56-year-old gentleman with myelodysplastic syndrome transformed acute myeloid leukemia (AML). Patient was initially diagnosed with low-risk myelodysplastic syndrome-refractory cytopenias and multilineage dysplasia (MDS-RCMD), progressed to AML after failing hypomethylating agent therapy. At progression patients had normal cytogenetics but NGS profiling showed ETV6 c.416_417del CT frame shift and U2AF1 S34F mutations. Patient attains brief remission of 2 months after induction chemotherapy and then he was refractory to 2 salvage chemotherapy regimens. Reassessment after failing second salvage, identified t(12;17)(p13;p13)[20] by karyotype. It was postulated that the 12p13 locus might represent a new rearrangement of ETV6. AMP-NGS confirmed involvement of the ETV6 with discovery of a novel fusion partner, HIC1. The detection of the novel fusion partners was supported by the breakpoints originally observed by karyotype. This discovery of ETV6-HIC1 gene fusion by AMP-NGS technology provided new insight into a leukemogenic pathway in AML. Future use of this technology can serve as an adjunct tool in workup of patients with AML and can also help in formulating therapeutic strategies.
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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 | 0.000 |
| 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 | 0.000 |
| 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".