Quantitative Assay of Mutated Nucleophosmin in Acute Myeloid Leukemia
Bibliographic record
Abstract
BACKGROUND: In our previous work, we provided strong evidence that nucleophosmin (NPM) gene mutation has an important role in leukemogenesis of primary acute myeloid leukemia (AML). Furthermore, we speculated a new targeted therapy in patients with primary AML and bearing mutated NPM (mNPM). Based on these results together with findings of other researchers, it was essential to develop a method for accurate detection of mNPM. METHODS: Our method based on utilizing the most recent flow cytometeric techniques and instruments in measuring mNPM. Attributed to their availability and technical feasibility, we used human leukemia cell lines to validate our method. RESULTS: The main findings were differential expression of wild-type NPM (wtNPM) within the same sample. Furthermore flow cytometry (FCM) was a simple straightforward tool for quantitative assay of mNPM. CONCLUSIONS: In this work we developed an innovative technique that could enable quantitative assay of mNPM, and ease its use as a biomarker in cytogenetic and molecular prognostication of primary AML. In addition the study suggested that FCM could differentiate mNPM expression within cells of the same patient thus could be used for monitoring of minimal residual disease.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".