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Acute Lymphoblastic Leukemia in Children with Down Syndrome: A Report From the Ponte Di Legno Study Group,

2011· article· en· W2980015714 on OpenAlexaff
Trudy Buitenkamp, Shai Izraeli, Martin Zimmermann, Erik Forestier, Nyla A. Heerema, Marry M. van den Heuvel, Rob Pieters, Válerie de Haas, Lewis B. Silverman, Kjeld Schmiegelow, Der‐Cherng Liang, Keizo Horibe, Maurizio Aricò, Giovanni Cazzaniga, Giuseppe Basso, Karen R. Rabin, Martin Schrappe, Gunnar Cario, Georg Mann, Veerle Mondelaers, Tim Lammens, Hélène Cavé, Batia Stark, Anthony V. Moorman, Ajay Vora, Stephen P. Hunger, Ching‐Hon Pui, Charles G. Mullighan, Atsushi Manabe, Gabriele Escherich, Jerzy Kowalczyk, James A. Whitlock, C. Michel Zwaan

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineCumulative incidenceInternal medicineWhite blood cellIncidence (geometry)Lymphoblastic LeukemiaPediatricsDown syndromeLeukemiaGastroenterologyCohort

Abstract

fetched live from OpenAlex

Abstract Abstract 3579 Children with Down syndrome (DS) have an increased risk of developing B-cell precursor acute lymphoblastic leukemia (BCP-ALL), characterized by a low frequency of the common genetic aberrations, and a high frequency of CRLF2 and JAK aberrations. Because this disease is relatively rare, the clinical outcome, treatment-related mortality (TRM) and prognostic factors of DS-ALL patients treated in contemporary protocols are uncertain. Previous studies demonstrated poorer survival and a high rate of treatment related mortality (TRM), but most studies are small since DS ALL patients comprise only 1–2% of all protocol patients. We therefore conducted a large retrospective study of 653 children with DS-ALL treated in clinical trials of 16 collaborative study groups between 1995 and 2005. All genotypes obtained from conventional karyotyping, FISH or RT-PCR were centrally reviewed and assigned to specific cytogenetic groups. The 310 girls and 343 boys have a median age of 5.0 years (range, 1.2 – 17.9) and a median white blood-cell count (WBC) of 10.2 × 109/L (range, 0.2 – 459). The 827 non-DS BCP-ALL control patients from the Dutch Childhood Oncology Group treated in the same era had similar WBC (8.8 × 109/L; p=0.25) but were younger (4.6 years; p< 0.001). The median follow-up time was 6.8 years for DS-ALL survivors and 7.3 years for non-DS-ALL survivors. DS patients have a higher 8-year cumulative incidence of relapse (CIR) (26±2% vs. 18±1%; p=0.001) and higher 2-year TRM (7±1% vs. 1.0±<0.1%; p<0.0001) than controls, resulting in lower 8-year event free survival (EFS) (64±2% vs. 78±1%; p<0.0001) and lower 8-year overall survival (OS) (74±2% vs. 86±1%; p<0.0001). In the multivariate analysis, age ≥ 6 years and WBC ≥ 10 × 109/L were independent predictors for poor EFS (HR = 1.68, p = 0.003; WBC = 1.79, p = 0.001, respectively), and poor relapse-free survival (HR = 1.99; p = 0.001; HR = 1.55; p = 0.04, respectively). DS patients with age <6 years and WBC <10 × 109/L constituted a favourable risk-group when compared to the remaining DS patients but still had a relatively high relapse rate (EFS, 78±3% vs. 58±3%; p <0.001, TRM, 3±1% vs. 9±1%; p =0.002, CIR, 17±3% vs. 30±2%; p = 0.003). This criterion was a better predictor of outcome than that in classic NCI-criteria, even after exclusion of patients with TEL-AML1 rearrangement or trisomies 4 and 10. Of the 444 (68%) patients with available cytogenetic data, 40.3% had normal cytogenetics, 9.0% was high hyperdiploid (HeH) (34% in non-DS ALL; p<0.001), 8.3% had TEL-AML1 rearrangements (21.7% in non-DS ALL; p <0.001), and 2% had t(8;14)(q11.2)(q32). Remarkably, the 8-year EFS was nearly identical between TEL-AML1- rearranged DS and non-DS patients (95±4% vs.92±3%; p=0.77). HeH DS patients showed a trend towards lower EFS when compared to HeH non-DS patients (77±7% vs. 86±2%; p=0.06). Within HeH DS ALL patients, the number of patients with trisomy 4+10 was only 45%. The OS of these patients was 88±8%, and there were no relapses. Data on CRLF2 aberrations and JAK2 R683 mutations was available for 134 and 141 patients, respectively. Neither CRLF2 aberrations (OS 74±5%; p=0.29, CIR 29±6%; p=0.23) nor JAK2 mutations predict prognosis in DS ALL (OS 71±8%; p=0.21, CIR 25±9%; p=0.55). In total, 32% (n=16) of TRM's in DS patients occurred during remission induction, most (n=10) were caused by infection. The inclusion of anthracyclines in induction had no impact on TRM. When comparing NCI-SR patients of the CCG/POG studies (3-drug induction) with patients treated on AIEOP/BFM-studies (4-drug-induction) the incidence of TRM was 1.5±1% vs. 1.7±1%; p= 0.46). Also the EFS was similar (64±6% vs. 69±5%; p= 0.39). There was no distinct decrease of TRM after induction, it was not related to a specific treatment-phase or treatment-regimen and also occurred 2 years after diagnosis (∼1%), suggesting better supportive care throughout the treatment is needed. In conclusion, DS patients enrolled in contemporary protocols with curative intent continued to have a poor survival due to both high rates of relapse and TRM. Within DS ALL, patients age < 6 year, WBC <10 × 109/L and the presence of TEL-AML1 or trisomies 4 and 10 are favourable prognostic factors, which may be used to guide risk-directed treatment. 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)0.002
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.014
GPT teacher head0.243
Teacher spread0.229 · 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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Citations3
Published2011
Admission routes1
Has abstractyes

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