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Efficacy of ALL Therapy for WHO2016-Defined Mixed Phenotype Acute Leukemia: A Report from the Children's Oncology Group

2017· article· en· W2926169207 on OpenAlexaff
Etan Orgel, Thomas Alexander, Brent L. Wood, Samir B. Kahwash, Meenakshi Devidas, Yunfeng Dai, Todd A. Alonzo, Charles G. Mullighan, Hiroto Inaba, Stephen P. Hunger, Alan S. Gamis, Andrew J. Carroll, Nyla A. Heerema, Jason N. Berman, William G. Woods, Mignon L. Loh, Patrick A. Zweidler‐McKay, John Horan

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsIzaak Walton Killam Health Centre
Fundersnot available
KeywordsMedicineOncologyClinical trialInternal medicineLeukemiaPediatricsImmunology

Abstract

fetched live from OpenAlex

Abstract There remains uncertainty regarding the optimal treatment for mixed phenotype acute leukemia (MPAL), an uncommon leukemia that represents ~3% of de novo acuteleukemia. Because of the dearth of clinical trials, varying approaches are employed: acute lymphoblastic leukemia (ALL) regimens as well as more intensive acute myeloid leukemia (AML) and hybrid therapies. The evolution in the prevailing diagnostic criteria from the EGIL classification to the more narrowly defined WHO2008 and WHO2016 criteria has made the existing literature difficult to interpret. Increasing insight into the molecular heterogeneity of MPAL adds further complexity. Recently published studies (retrospective clinical case series), however, are beginning to suggest that ALL therapy may be the most appropriate form of initial therapy for MPAL. To further assess the efficacy of ALL therapy for pediatric MPAL, we reviewed the Children's Oncology Group (COG) experience. Possible MPAL cases were identified through the ALL biology studies (both AALL03B1 and AALL08B1 were open to MPAL) and from AAML0531, the phase 3 trial for de novo AML (patients enrolled on this trial subsequently found to have MPAL were taken off study). All identified cases were reviewed centrally. In cases where the original flow cytometry testing was inadequate to establish the diagnosis, flow cytometry was repeated with an expanded antibody panel using banked diagnostic specimens. Only cases meeting WHO2016 criteria were retained. Patients were treated per physician discretion and not on a therapeutic clinical trial. Supplemental data on treatment and outcomes were collected. From the study databases, 97 potential MPAL cases were identified; of these, 54 cases (56%) were confirmed to be MPAL via central review. Patients were diagnosed between 2003 and 2016. The majority of patients were <10 years of age and B/Myeloid MPAL (B/My) was the most common phenotype. Fewer than a third of patients presented with hyperleukocytosis, adverse recurrent cytogenetics, or central nervous system involvement (Table 1). In the cohort, 38 patients (70%) received ALL induction therapy, 12 (22%) AML induction, and 3 hybrid induction; 14 (28%) patients received hematopoietic stem cell transplantation (HSCT). The CR rate was 71.1% [27/38], 66.7% (8/12) and 100% (3/3) in patients receiving ALL, AML and hybrid induction, respectively (p=0.761). CR was achieved in 78.8% of B/My cases [26/33], 68.4% T/My cases [13/19], and no B/T cases (0/2, p=0.074). Treatment became more heterogeneous further into therapy due to varying incorporation of ALL, AML and hybrid elements and the varying use of HSCT. Three-year EFS was 65±17% in patients started on ALL therapy and 53±26% in patients started on AML therapy (p=0.169, Fig. 1A); 3-year OS was 79±15% and 60±27% respectively (p=0.510, Fig. 1B). SCT was not associated with a difference in EFS (p=0.935) or OS (p=0.726). In 20 patients receiving ALL therapy alone without SCT, 3-year EFS was 59±22% and OS 79±18%. This series represents a large cohort of centrally-reviewed pediatric MPAL cases diagnosed according to the most recent WHO2016 criteria and treated with COG-style chemotherapy. Our results add to the growing body of literature suggesting that ALL regimens may be effective for pediatric MPAL. It also suggests, however, that induction failure and relapse are still relatively common with ALL therapy and that alternative forms of treatment are necessary for some. The limited size of the sample and its heterogeneity preclude any conclusions regarding the relative efficacy of AML therapy and role for HSCT. Given the greater morbidity and mortality associated with these forms of therapy, consideration should be given to reserving their use for patients with a suboptimal response to ALL therapy. Continued variability in accurately diagnosing and treating MPAL as seen here also underscores the necessity of well-delineated clinical trials with integrated central review to advance MPAL therapy. Our results therefore further support the basis for the first-ever prospective evaluation of high risk ALL therapy for pediatric MPAL in a trial now being planned within the COG. In this trial, minimal residual disease testing with multiparameter flow cytometry will be employed to identify patients responding well to ALL therapy versus those who may benefit from more intensive AML therapy and transplantation. Disclosures Mullighan: Loxo Oncology: Research Funding; Amgen: Consultancy. Hunger: Erytech Pharmaceuticals: Consultancy; Novartis: Consultancy; Jazz Pharmaceuticals: Honoraria; Amgen: Consultancy, Equity Ownership. Berman: AGADA Therapeutics: Research Funding. Zweidler-McKay: ImmunoGen: Employment.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.326
Teacher spread0.298 · 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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Citations2
Published2017
Admission routes1
Has abstractyes

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