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Record W4417016277 · doi:10.1182/blood-2025-6761

A case of co-mutation of SF3B1 and BCR::ABL1 demonstrating an MDS-phenotype

2025· article· en· W4417016277 on OpenAlexaff
Eugène Brailovski, Amirali Vahedi, Véronique Lisi, Svetlana Dmitrienko, François Mercier, Vincent‐Philippe Lavallée, Sarit Assouline

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineConcordia UniversityMcGill University
Fundersnot available
KeywordsBone marrowMyeloid leukemiaMissense mutationMyeloidHaematopoiesisDNA sequencingMyelodysplastic syndromesMutationGermline mutation

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION Co-mutations of BCR::ABL1 and clonal hematopoiesis genes are known to occur in chronic myeloid leukemia (CM)L, but the presence of mutant SF3B1 and BCR::ABL1 is rarely described. A 74-year-old man was referred for a hemoglobin of 91g/L with high MCV (122 fL); platelet and leucocyte counts were normal, as was white count differential. The patient had treated metastatic prostate cancer with good disease control. Bone marrow examination revealed hypercellularity (80%), erythroid predominance, ringed sideroblasts, <1% myeloblasts, and absence of basophilia. A t(9;22) was identified in 18/25 metaphases; molecular testing confirmed the presence of the p210 BCR::ABL1, IS 17.6%. A 36-gene myeloid next-generation sequencing panel revealed a missense mutation p.K666R in SF3B1 (VAF 46%). A diagnosis of concurrent CML and myelodysplastic syndrome (MDS) with mutated SF3B1 was made. Bone marrow sampling repeated 3 months after starting asciminib showed minimal change in cellularity and erythroid predominance. At this time, BCR::ABL1 dropped to 0.0063% IS and SF3B1 VAF was 32%. After a transient improvement in anemia and macrocytosis at 6 months, the hemoglobin dropped to 81, and MCV rose to 116 after 1 year, at which time BCR::ABL1 was undetectable. We performed single cell DNA sequencing to elucidate the relationship between the somatic SF3B1mutation and BCR::ABL1. METHODS Whole genome sequencing using Nanopore was used to identify the t(9;22) breakpoint. Probes were subsequently designed by Mission Bio to include the BCR::ABL1 translocation and the SF3B1 mutation. Using the Tapestri single-cell DNA sequencing platform, cells were isolated into individual droplets where they were lysed, amplified, tagged and sequenced. To obtain the lineage-specific genetic profile, cells were visualized using Uniform Manifold Approximation and Projection and clustered using Hierarchical Density-Based Spatial Clustering of Applications with Noise and manually gated. RESULTS A total of 4065 cells were sequenced. Most cells were erythroid precursors (88.8%, n=3609), followed by lymphocytes (8.45%, n=276), hematopoietic stem and progenitor cells (HSPC) (1.6%, n=65) and monocytes (0.86%, n=35). Among all sequenced cells, 45% (n=1779) harboured both mutant SF3B1 and BCR::ABL1; 25% (n=969) had mutant SF3B1 only. The remaining cells had neither abnormality. Within HSPC, 20% (n=13) were wild type, 24.6% (n=16) only had the SF3B1 mutation and 55.4% (n=36) had the SF3B1 mutation with BCR::ABL1. Erythroid precursors were 26.3% (n=949) wild type, 25.7% (n=926) only had the SF3B1 mutation and 48% (n=1734) had the SF3B1 mutation with BCR::ABL1. Among monocytes, 42.9% (n=15) were wild-type, 42.9% (n=15) had the SF3B1 mutation and 14.3% (n=5) had the SF3B1 mutation with BCR::ABL1. Finally, 97% of lymphocytes were wild type (n=269), 1.5% of lymphocytes only had the SF3B1 mutation (n=4) and 1.5% (n=3) had the SF3B1 mutation and BCR::ABL1.Interestingly, most of the erythroid precursors and HSPC contained the SF3B1 mutation, with or without BCR::ABL1. A smaller subset of monocytes contained both mutations and lymphocytes were mainly wild type. CONCLUSION In this unique case, the presence of mutated SF3B1 likely preceded the emergence BCR::ABL1 and exerted clinical and morphological dominance, yielding an MDS phenotype. At the single-cell level, mutant SF3B1 and BCR::ABL1 were notably absent from lymphoid cells. This contrasts with findings in CML, where BCR::ABL1 is usually present in all cell lineages at diagnosis (Haferlach, BJH, 1996). SF3B1 has been reported to impede lymphocyte differentiation (Mortera-Blanco, Blood, 2018) and seemingly also hampers myeloid proliferation typical of CML, as this case demonstrates. Granulocyte precursors likely experienced compromised viability during sample storage, leading to underrepresentation in the single-cell analysis. Nonetheless, a correlation persists between the reduced granulopoiesis observed in the bone marrow and the findings from single-cell analysis. Single-cell RNASeq is planned to delineate signaling pathways active in SF3B1 and BCR::ABL1 co-mutated cells. To our knowledge, this is the first report mapping the clonal architecture of a case of concurrent CML and SF3B1-mutated MDS using single-cell DNA sequencing. These findings not only provide novel insight into lineage restriction and clonal dominance but also reveal how a concurrent mutation can mask the classic disease phenotype of CML.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.303
Teacher spread0.287 · 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 designCase report
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
Published2025
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