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Record W2992295706 · doi:10.1182/blood.v104.11.519.519

Biology-Driven Classification of Childhood Acute Lymphoblastic Leukemia: A Combined Analysis of Prognostic Markers from the Pediatric Oncology Group (POG) and Children’s Cancer Group (CCG).

2004· article· en· W2992295706 on OpenAlexaff
Kirk R. Schultz, Jeanette Pullen, Harland N. Sather, Jonathan J. Shuster, Michael J. Borowitz, Nyla A. Heerema, Andrew J. Carroll, Paul S. Gaynon, Bruce M. Camitta

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInternal medicineMedicineOncologyLymphoblastic LeukemiaPediatricsCancerLeukemia

Abstract

fetched live from OpenAlex

Abstract Risk adapted therapy, tailoring treatment to the likelihood of relapse, has constituted a significant advance in the treatment of childhood ALL. The recent merger of the POG and CCG provided an opportunity to reassess previous approaches and to develop a new biology driven classification system based on data from both legacy groups. All children (age 12 months to 21.99 years) with newly diagnosed B-precursor (ALL), consecutively enrolled on CCG (December 1988 to August 1995, N = 3056) and POG (January 1986 to November 1999, N = 6800) protocols, were evaluated for the impact of numerous clinical and laboratory variables on event free survival at 5 and 8 years in each group separately, thereby superseding differences in treatment approaches. Infants and patients with a T- cell phenotype were excluded from the analyses. Very high risk was defined as the group for which myeloablative therapy might be indicated with an anticipated 5 year EFS <45%, while a reduction in therapy could be justified for the lowest risk patients with a >85% 5 year EFS. Patients identified as being at very high risk for relapse had hypodiploidy (<45 chromosomes) (CCG 34.8%, POG 46.5% - 5 year EFS), induction failure (CCG 11.3% 5 year EFS) or t(9;22) or BCR/ABL (POG 27.5%, CCG 29.6% 5 year EFS). Patients identified as low risk for relapse were NCI standard risk patients with either t(12;21) (TEL-AML1) (CCG 86%, POG 85% 5 year EFS) or all three trisomies of 4, 10, and 17 (CCG 91.5%, POG 89.3% 5 year EFS). Certain NCI high risk patients were identified as having a higher risk for relapse but did not fall into the VHR category: t(4;11)(POG 49.9%, CCG 50.0% 5 year EFS),CNS3 (CCG 59.3%, POG 67.8% 5 year EFS) and slow early response (SER) defined by M2/3 at day 14 (Standard risk 66% SER versus 84% and for high risk ALL 63% SER versus 75%). Other potential VHR factors that require confirmation included, slow early responder t(4;11) (CCG 11.1% 5 year EFS) and monosomy 7 (CCG 44%, POG 66.6% 5 year EFS). A balanced t(1;19) had only a minor unfavorable effect on EFS. The COG has identified a risk classification system that builds on the previous NCI risk classification system for childhood ALL, incorporating the cytogenetic and molecular genetic features of the blasts, as well as rapidity of clinical response. The division of B-precursor ALL patients into low risk (18%), standard risk (49%), high risk (30%) and very high risk (3%) groups will : 1) identify those patients for whom therapy might be reduced without sacrificing overall cure rates, 2) determine those patients who will require intensified therapy and 3) suggest underlying biological pathways that mediate cure or treatment failure.

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 score0.018
Threshold uncertainty score0.869

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.270
Teacher spread0.259 · 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

Citations6
Published2004
Admission routes1
Has abstractyes

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