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Record W2732441612 · doi:10.1182/blood.v128.22.454.454

Genomic Landscape of Pediatric Mixed Phenotype Acute Leukemia

2016· article· en· W2732441612 on OpenAlexaff
Thomas Alexander, Zhaohui Gu, John Choi, Mignon L. Loh, John Horan, Barbara Buldini, Giuseppe Basso, Sarah Elitzur, C. Michel Zwaan, Válerie de Haas, Allen Eng Juh Yeoh, Dirk Reinhardt, Daisuke Tomizawa, Tim Lammens, Barbara De Moerloose, Li Sheng Zhou, Hiroki Hori, Anthony V. Moorman, Andrew S. Moore, Ondřej Hrušák, Soheil Meshinchi, Etan Orgel, Meenakshi Devidas, Stephen P. Hunger, Jamie M. Guidry Auvil, Malcolm A. Smith, Tanja M. Davidsen, Leandro C. Hermida, Patee Gesuwan, Marco A. Marra, Yussanne Ma, Andrew J. Mungall, Richard A. Moore, Daniela S. Gerhard, Xueyuan Cao, Lei Shi, Stanley Pounds, Hiroto Inaba, Charles G. Mullighan

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsBC Cancer AgencyCanada's Michael Smith Genome Sciences Centre
Fundersnot available
KeywordsMyeloidLeukemiaMyeloid leukemiaBiologyAcute lymphocytic leukemiaImmunologyCancer researchMedicineLymphoblastic Leukemia

Abstract

fetched live from OpenAlex

Abstract Background: Mixed phenotype acute leukemia (MPAL) is a high risk leukemia with features of acute myeloid (AML) and acute lymphoblastic leukemia (ALL), either due to co-expression of antigens of multiple lineages, or the presence of multiple immunophenotypically distinct populations. WHO 2008 classifies MPAL as T/myeloid (T/M), B/myeloid (B/M), MLL rearranged (MLL) MPAL, BCR-ABL1 (Ph+) MPAL, and MPAL not otherwise specified (NOS). Patients are managed with divergent chemotherapeutic approaches with survival estimates of 50-70%. Apart from Ph+ and MLL rearrangement, the genetic basis of MPAL is poorly defined. Our goal was to define the molecular basis of MPAL, and to compare with potentially related forms of leukemia (AML, T-ALL and early T-cell precursor (ETP) ALL) as a rational foundation for future trials. Furthermore, we examined whether multi-lineal cases harbor genetically distinct subclones, or arise from the acquisition of founding alterations in a multi-lineage hematopoietic progenitor. Methods: 155 cases of pediatric leukemia initially diagnosed as MPAL were studied by central pathology review and/or central flow cytometry (134 cases), confirming the diagnosis according to WHO criteria in 115 cases (fig. 1). Median age was 7 years (0-18) with 52 T/M, 37 B/M, 15 MLL, 8 NOS, and 2 Ph+ (fig. 2). Samples were studied by whole genome and/or exome, RNA sequencing, and SNP array analysis. 44 multi-lineal samples were flow sorted into 2-4 lymphoid, myeloid, and ambiguous subpopulations (15 T/M, 19 B/M, 7 MLL, 1 Ph+, 2 NOS) and subjected to exome sequencing and SNP array. Mutational data were compared to data from 196 AML, 39 ETP-ALL, and 245 T-ALL cases. Results: We identified 35 recurrently mutated genes, the most common of which were WT1 (21%), FLT3 (18%), NRAS (16%), JAK3 (11%), RUNX1 (11%), KMT2D (9%), PTPN11 (9%), ASXL1 (7%), and CREBBP (7%). T/M and B/M subtypes are characterized by distinct patterns of genomic alteration. 48% of T/M cases harbored in-frame chimeric fusion, several of which are described in T-ALL, including ETV6-NCOA2 and ZEB2-BCL11B, NUP214-ABL1 and PICALM-MLLT10, and novel fusions involving hematopoietic regulators (e.g. ETV6-MAML and MNX1-IKZF1). 42% of B/M cases had in-frame fusions of ZNF384 with CREBBP, EP300, and TCF3, while we also identified isolated fusions involving ERG and NF1. Mutations of Ras signaling genes were present in 50% of B/M cases, in contrast to 10% of T/M cases. Epigenetic modifying genes, including CREBBP, SETD2, KMT2D, EZH2 and SUZ12 were mutated in 45% of the combined T/M and B/M cohorts. Cases with MLL gene rearrangements had few sequence alterations. In comparison to other subtypes of leukemia, the mutational spectrum of T/M MPAL, with alterations in transcription factors (60% cases), epigenetic genes (50%) and JAK-STAT signaling (35%) was more similar to ETP-ALL (64%, 72%, 44%) and T-ALL (49%, 60%, 21%) than to AML (19%, 21%, 11%). Similarly, B/M cases have increased alterations in these pathways (42%, 42%, 25%) compared to AML. Sequencing of MPAL subpopulations revealed that 27% of cases had the same SNVs/indels in each subpopulation, and 47% of cases had at least two-thirds of mutations present in each subpopulation. All multi-lineal cases with alterations of regulators WT1 and RUNX1 showed similar allele frequencies of these mutations in all populations. Alternatively, cases with mutations in signaling (FLT3, NRAS, KRAS, PTPN11) or epigenetic regulatory genes (CREBBP, KMT2D, SETD2) only showed consistent presence of alterations across each subpopulation in 60% of the cases. Conclusions: Our analysis has shown that T/M and B/M MPAL are distinct subtypes of leukemia. B/M MPAL is characterized by frequent RAS pathway mutations and ZNF384 fusions with multiple different fusion partners, suggesting that this gene plays a critical role in hematopoietic development for progenitor cells with B lymphoid and myeloid potential. The findings of mutational similarity to ETP ALL, and sharing of genomic lesions between subclones in the majority of cases strongly suggests that MPAL represents part of a spectrum of immature leukemias that arise in a hematopoietic progenitors that may propagate multiple immunophenotypic populations. These results will guide the design of therapeutic strategies for each subtype of MPAL and ETP ALL, and xenografts representative of each subtype are being used to examine sensitivity to therapeutic agents. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures Loh: Abbvie: Research Funding; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees. Zwaan:Pfizer: Research Funding; Pfizer: Consultancy. Reinhardt:Pfizer: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Other: Travel Accomodation. Inaba:Arog: Research Funding. Mullighan:Loxo Oncology: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees; Amgen: Speakers Bureau.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.259
Teacher spread0.245 · 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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Citations5
Published2016
Admission routes1
Has abstractyes

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