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Record W2981061287 · doi:10.1182/blood-2018-99-116981

Inactivation of Stage-Specific B-Cell Commitment Genes Generates Distinct Molecular Subtypes of BCR-ABL1 Lymphoblastic Leukemia

2018· article· en· W2981061287 on OpenAlexaff
Jaeseung Kim, Michelle Chan‐Seng‐Yue, Gavin W. Wilson, Andrea Arruda, Karen Ng, Olga I. Gan, Stephanie M. Dobson, Paul M. Krzyzanowski, Johann Hitzler, Anne Tierens, John E. Dick, Mark D. Minden, John D. McPherson, Faiyaz Notta

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsHospital for Sick ChildrenPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of TorontoOntario Institute for Cancer Research
Fundersnot available
KeywordsBiologyImatinib mesylateCancer researchMyeloid leukemiaDasatinibLeukemiaImmunologyImatinib

Abstract

fetched live from OpenAlex

Abstract Background Philadelphia-chromosome positive acute lymphoblastic leukemia (Ph+ ALL), the most common form of ALL in adults, is a highly aggressive blood malignancy defined by the BCR-ABL1 fusion. Although inhibitors targeting the BCR-ABL1 oncoprotein, such as imatinib, have significantly improved clinical response rates for this disease, a subset of patients are refractory to therapy or respond initially but relapse soon after. ABL1 kinase domain mutations partly explain differential responses in patients; however, for the majority of cases, a molecular basis that can reconcile this clinical observation is lacking. Methods Flow-sorted blasts from 53 primary samples, 49 de novo Ph+ ALL and 4 lymphoid blast crisis CML, were subjected to RNA sequencing (RNA-seq) and whole genome sequencing (WGS). Response rates were tracked using BCR-ABL1 transcript levels from patient blood. Results Hierarchical clustering of transcriptome data produced two molecular subgroups of Ph+ ALL. One subgroup, which we termed 'Core-B', upregulated key regulators of B-lymphoid differentiation including IL7R and MS4A1 (CD20). By contrast, the second subgroup upregulated an expression program related to hematopoietic stem cell (HSC) and myeloid differentiation, with upregulation of KIT, CD34, MPO, CSF3R, and GATA3. We termed this subgroup 'Aberrant-Stem-Myeloid' (ASM). These subgroups displayed a striking disparity in response rates to intensive chemotherapy with imatinib. Whereas 'Core-B' patients showed highly durable responses often lasting many years, 'ASM' patients frequently relapsed (4% vs 43% relapse; p=0.007). We used WGS analysis to investigate the genetic basis of these molecular subtypes. 'Core-B' Ph+ ALLs were enriched for deletions in PAX5, a B-cell specification gene, and CDKN2A/B, tumor suppressors. The 'ASM' subtype lacked these genetic alterations; instead, these leukemias were enriched for deletions in EBF1, an early B-cell lineage factor that represses T-lymphoid and myeloid lineages and is expressed before PAX5 in B-cell lineage differentiation. Accordingly, blasts from 'ASM' leukemias with EBF1 deletions showed decreased CD19 antigen expression and upregulation of myeloid antigens by clinical flow cytometry. Rare cases with concurrent EBF1 and PAX5 deletions showed expression features of both 'ASM' and 'Core-B' leukemias. Mutations observed in myeloid leukemias (TET2, RUNX1) were only present in the 'ASM' subtype. Loss of IKZF1, found in 77% of cases, also displayed distinct patterns between the two subgroups; deletions leading to the dominant negative isoform (Ik6) were enriched in the 'Core-B' subgroup (45% vs. 14%; p=0.019) while monosomy 7 and large deletions encompassing IKZF1 were enriched in the 'ASM' leukemias (41% vs. 10%; p=0.017). In 1 of 4 diagnosis/relapse patients analyzed, a molecular switch from 'Core-B' at diagnosis to 'ASM' at relapse was observed. The diagnostic 'Core-B' clone from this patient harbored a PAX5 mutation that was lost at relapse, whereas the relapsed 'ASM' clone harbored trisomy 21 and a RUNX1 mutation. Altogether, our data suggest that the 'ASM' leukemias emerge through dysregulation of genes earlier in lympho-myeloid specification compared to 'Core-B' leukemias. These findings led us to investigate if the 'ASM' subtype originates from an HSC and the 'Core-B' subtype originates from a B-cell progenitor. We first looked at the distribution of the long (p210) and short (p190) isoforms of BCR-ABL1 in the two subtypes. The p210 isoform, also the hallmark of CML, is speculated to arise in an HSC, and the p190 is thought to arise in a B-cell progenitor. Neither the p190 or p210 BCR-ABL1 isoform was enriched in either subgroup. We resolved highly purified HSC and progenitor subsets from CD34+CD19- cells, functionally evaluated by methylcellulose assays, and subjected them to a sensitive nested-PCR strategy. Cases from both the 'ASM' and 'Core-B' subtypes showed HSC/myeloid progenitor involvement regardless of the BCR-ABL1 isoform. This data suggest that the cell-of-origin does not play a role in establishing the molecular subtype of leukemia blasts. Conclusion There are two distinct molecular subtypes of Ph+ ALL that demonstrate differential responses to treatment and emerge from independent mutational routes. Moreover, the key genetic determinants that form the molecular subtype are secondary driver alterations that lie downstream of BCR-ABL1. 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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.015
GPT teacher head0.242
Teacher spread0.227 · 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 designBench or experimental
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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Citations0
Published2018
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