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Record W2417320515 · doi:10.1182/blood.v122.21.612.612

Abnormalities Of 12p Are Associated With High-Risk Acute Myeloid Leukemia: A Children’s Oncology Group Report

2013· article· en· W2417320515 on OpenAlexaff
Todd A. Alonzo, Robert B. Gerbing, Samir B. Kahwash, Amy Heerema‐McKenney, Richard Aplenc, Lillian Sung, Laura Winter, Kathleen Glick, Ccrp, Stella M. Davies, Patti Byron, Robert S. Lavey, Franklin O. Smith, Phoenix A. Ho, Alan S. Gamis, Soheil Meshinchi, Susana C. Raimondi

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsBC Children's HospitalHospital for Sick Children
Fundersnot available
KeywordsETV6Internal medicineCytogeneticsOncologyMyeloid leukemiaMedicineLeukemiaNPM1KaryotypeBiologyChromosomeChromosomal translocationGeneticsGene

Abstract

fetched live from OpenAlex

Introduction Abnormalities of 12p are relatively rare in acute myeloid leukemia (AML), but are of particular interest because ETV6, an ETS family transcription factor that frequently acts as a tumor suppressor , maps to 12p13. In pediatric AML the recurrent t(7;12)(q36;p13) has been recognized in addition to other heterogeneous 12p abnormalities which results in the rearrangement or deletion of ETV6 . Recently, a Medical Research Council study found that AML patients with 12p abnormalities have a poor prognosis. To date, abnormalities of 12p have been categorized as standard cytogenetic risk in Children’s Oncology Group (COG) AML trials, but there are limited data on their frequency, morphologic classification, and concomitant gene mutations or chromosome abnormalities. Objective To evaluate characteristics and prognostic significance of 12p abnormalities in AML in the COG trial AAML0531. Methods AAML0531 is a recently completed COG trial that enrolled patients between 2006 and 2010. Central review of cytogenetics was conducted on 981 of 1070 enrolled patients (non-Down syndrome) with de novo AML. Abnormalities of 12p were classified into 3 groups: 1) the t(7;12) or variants thereof; 2) abnormalities of band 12p13 other than the t(7;12) that were confirmed or highly suggestive of ETV6 rearrangement (other ETV6R); and 3) abnormalities resulting in loss of the band 12p13 (ETV6Loss). The entire group of children with 12p abnormalities ( N =32) as well as the three subgroups were compared with children ( N =949) without 12p abnormalities, with respect to demographics, frequency of gene mutation, additional cytogenetic abnormalities and survival. Results Abnormalities of 12p were identified in 32 (3.3%) of patients. 8 patients had a t(7;12) after central review (6 were missed in the local laboratory’s initial submission); 10 had otherETV6R, and 14 had ETV6Loss. The median age of the 12p group was significantly lower (median, 5.8; range, 0.2–18.2) than the non-12p group (median, 9.9; range, 0.003–29.8; P =.018). Notable was the very young age of patients with the t(7;12) (median, 0.6; range, 0.2–6.4; P =.004), with 88% 6 abnormalities, compared to 0% in the other 12p groups and 4% in the non-12p groups ( P <.002). On the basis of karyotype classification strategy in AAML0531 no patient with 12p abnormalities was low risk, 29 were standard risk, and 3 were high risk [due to presence of -5/5q- or -7]. The 12p abnormality group had a worse 3-year OS (28±17% vs. 69±3%, P .1). Conclusions Patients with abnormalities of 12p should be considered for categorization as high-risk with respect to cytogenetic stratification for AML. Given the subtle nature of the t(7;12) and other ETV6 rearrangements and their prognostic implications FISH for ETV6 is recommended upfront for the evaluation of any young patient with AML with a +19 as a secondary abnormality and in any patient suggestive of 12p deletion or rearrangement. Disclosures: No relevant conflicts of interest to declare.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.247
Teacher spread0.238 · 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 designObservational
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".

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Citations10
Published2013
Admission routes1
Has abstractyes

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