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Record W4206325216 · doi:10.30683/1929-2279.2021.10.07

PCR- Negative Atypical PML-RARA Rearrangement in Pediatric Acute Promyelocytic Leukemia

2021· article· en· W4206325216 on OpenAlexfundvenueno aff
Dan-Ping Huang, Yijun Chen, Jie-Si Luo, Shaoqian Chen, Jing Cheng, Yu Li, Cong Liang, Lina Wang, X. Zhang, Xue‐Qun Luo, Libin Huang, Yan‐Lai Tang

Bibliographic record

VenueJournal of cancer research updates · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsnot available
FundersBasic and Applied Basic Research Foundation of Guangdong ProvinceScience and Technology Planning Project of Guangdong ProvinceTerry Fox Foundation
KeywordsAcute promyelocytic leukemiaChromosomal translocationMyeloid leukemiaFluorescence in situ hybridizationFusion geneKaryotypeLeukemiaPromyelocytic leukemia proteinFusion transcriptCancer researchBiologyPolymerase chain reactionGeneMedicineMolecular biologyChromosomeGeneticsRetinoic acid

Abstract

fetched live from OpenAlex

Acute promyelocytic leukemia (APL) is a special type of acute myeloid leukemia (AML), accounting for about 5% to 10% of children with AML. At the genetic level, APL is featured by a unique chromosome translocation t(15;17) which results in the PML-RARA gene fusion. Most patients can be diagnosed by traditional karyotype analysis, Fluorescence-In-Situ Hybridization (FISH), or Reverse Transcription-Polymerase Chain Reaction (RT-PCR). We report the case of a child with acute promyelocytic leukemia (APL) who had characteristic chromosome translocation t(15;17) and rare PML-RARA gene mutation. This patient had an excellent response to chemotherapy, suggesting that this mutation will not affect the treatment and prognosis of APL.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.028
GPT teacher head0.370
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

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