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Record W1979616872 · doi:10.1002/ajh.22193

Monosomal karyotype in acute myeloid leukemia predicts adverse treatment outcome and associates with high functional multidrug resistance activity

2011· article· en· W1979616872 on OpenAlexaff
Hee Kyung Ahn, Jun Ho Jang, Kihyun Kım, Hee‐Jin Kim, Sun‐Hee Kim, Chul Won Jung, Dong‐Hwan Kim

Bibliographic record

VenueAmerican Journal of Hematology · 2011
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsInternal medicineMyeloid leukemiaGastroenterologyMedicineLeukemiaOncologyMultiple drug resistanceDrug resistanceBiologyGenetics

Abstract

fetched live from OpenAlex

Monosomal karyotype (MK) reflects highly unfavorable prognosis in patients with acute myeloid leukemia (AML). This study aimed to study the association of AML-MK with multidrug resistance (MDR) functional activity. A total of 369 AML patients (excluding APL) between 1995 and 2008 at a single center were included retrospectively. Functional MDR activity was evaluated with rhodamine-123 efflux activity with/without verapamil inhibition. MK was noted in 23 patients, only among whom classified into unfavorable cytogenetic risk group. Unfavorable cytogenetic subgroup with MK showed shorter OS (8.7 ± 5.9% vs. 23.5 ± 7.5% at 3 years, P = 0.030), EFS (8.7 ± 5.9% vs. 19.0 ± 6.9% at 3 years, P = 0.029), and a lower CR rate (34.8% vs. 65.7%, P = 0.031) compared with unfavorable subgroup without MK. Functional MDR activity was significantly higher in the unfavorable cytogenetic group with MK compared to all other cytogenetic risk groups taken as a whole (P = 0.026) and showed a trend toward statistical significance when compared with the unfavorable cytogenetic risk group without MK (P = 0.06). AML patients harboring MK showed a poor outcome in terms of lower CR rate and worse EFS/OS, and the presence of MK appeared to be associated with higher MDR functional activity of leukemic blasts.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.664

Codex and Gemma teacher scores by category

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

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 head0.022
GPT teacher head0.272
Teacher spread0.251 · 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 teacher head, 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".

Quick stats

Citations23
Published2011
Admission routes1
Has abstractyes

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