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Record W4417019190 · doi:10.1182/blood-2025-3330

Mixed phenotype acute leukemia: Clinical characteristics and real-world outcomes

2025· article· en· W4417019190 on OpenAlexaff
Ana Patiño‐García, Hong Chang, Mark Anthony Turingan, Aniket Bankar, Jonathan Wei, Marta Davidson, Guillaume Richard‐Carpentier, Mark Minden, Andre C. Schuh, Karen Yee, Vikas A. Gupta, Dawn Maze, Steven M. Chan, Aaron D. Schimmer, Claire Andrews, Hassan Sibai, María Agustina Perusini

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of TorontoToronto General HospitalPrincess Margaret Cancer Centre
Fundersnot available
KeywordsRetrospective cohort studyMyeloidSurrogate endpointWhite blood cellBristol-MyersDiseaseClinical trial

Abstract

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Abstract Introduction MPAL is a rare, heterogeneous leukemia defined by myeloid and lymphoid marker co-expression. The 2022 WHO classifies subtypes as B/My, T/My, or those with BCR::ABL1 or KMT2A-r. MPAL lacks standardized treatment and has poor outcomes; its prognostic and therapeutic alignment with ALL subtypes remains unclear. Aim To characterize clinical features and treatment outcomes of MPAL patients(pts) treated with intensive chemotherapy. Methods We conducted a retrospective single-center study of adults (≥18 y) diagnosed with MPAL (2003–2023), classified per WHO 2022. Induction regimens were categorized as ALL-like (PMH-DFCI or HyperCVAD), AML-like (anthracycline + cytarabine), or FLAG-IDA; BCR::ABL1+ pts received TKIs. OS was measured from diagnosis to death or last follow-up; CIR from CR to relapse or death. Standard statistical methods were used. Each MPAL subtype was compared to its phenotypically similar ALL counterpart using 1:2 propensity score matchings, balanced for age (<60 vs. ≥60 years), gender, presence or absence of extramedullary disease (EM), and white blood cell count at diagnosis (<30 vs. ≥30 ×10⁹/L). Subgroup analyses included comparisons of B/My MPAL vs. B-ALL, T/My MPAL vs. T-ALL, and BCR::ABL1+ MPAL vs. Philadelphia chromosome-positive (Ph+) ALL Results Among 841 ALL pts treated with intensive chemotherapy, 64 cases were re-reviewed by two hematopathologists due to suspicion of MPAL. 41 pts (5%) met MPAL criteria per WHO 2022. Median age at diagnosis was 51 years (IQR 40–62); 29% were aged ≥60 years, and 59% were male. The most common MPAL subtype was B/My: 19 (46%), followed by T/My: 10 (24%), BCR::ABL1mut: 7 (17%), KMT2Ar: 3 (7%), and other rare subtypes: 2 (5%). Among 36 pts with evaluable cytogenetics, 11 (27%) had complex karyotype. EM disease was present in 10 pts (24%). Induction regimens included ALL-like protocols in 26 pts (63%), FLAG-IDA in 13 (32%), and AML-like in 2 (5%). Intrathecal chemotherapy was administered in 35 pts (85%) Thirty-three pts (80.5%) achieved CR after first induction: 21/26 (81%) with ALL-like protocols, 11/13 (85%) with FLAG-IDA, and 1/2 (50%) with AML-like regimens (p=0.503). Of the 8 pts (19.5%) who failed to achieve CR, 7 received reinduction therapy: 1 (12.5%) with an ALL-like regimen, 3 (37.5%) with AML-like, 1 (12.5%) with FLAG-IDA, and 2 (25%) with venetoclax-based regimens. Of these, 6 (85.7%) achieved CR after reinduction. Fourteen of 39 responders (36%) relapsed, with a median time to relapse of 10 (2–46) m. Immunophenotypic data at relapse were available for 8 pts (57%): 1 relapsed with the same phenotype; 2 shifted to B-ALL (both initially B/My and treated with ALL-like regimens at diagnosis); 1 to T-ALL (initially B/ T/My also treated with an ALL-like regimen); and 4 to AML (2 initially B/My, 2 T/My all treated with FLAG-IDA at diagnosis). Median follow-up was 75mo(IQR 41–88). OS was 80% (95% CI, 64–90) at 1 y and 54% (37–68) at 5 y. CIR was 10% (2–53) at 1 y and 24% (3–67) at 5 y. In the PSM analysis, MPAL had numerically inferior OS: 1 y OS was 78% (61–88) vs. 86% (82–88), and 5 y OS 54% (37–68) vs. 65% (61–68) (HR 1.52, 1–2.4; p=0.0659). CIR was significantly higher in MPAL at 1 y (24% [12–43] vs. 12% [10–15]) and 5 y (46% [29–67] vs. 33% [29–37]; HR 2.3, 1.5–3.7; p=0.0003). By subtype, B/My MPAL (n=19) had outcomes comparable to B-ALL (n=38): 1 y OS 90% (64–97) vs. 82% (65–92), 5 y OS 74% (45–88) vs. 57% (37–73) (HR 0.71, 0.3–1.7; p=0.4507). CIR was also comparable at 1 y: 27% (11–56) vs. 24% (13–42) (HR 0.61, 0.3–1.5; p=0.2645). T/My MPAL (n=10) showed a tendency toward lower OS vs. T-ALL (n=20): 1 y OS 68% (29–88) vs. 73% (46–88), 5 y OS 28% (4–59) vs. 56% (31–75) (HR 1.74, 0.6–5; p=0.2996); 1 y CIR was comparable (21% vs. 27%). BCR::ABL1+ MPAL (n=7) and Ph+ ALL (n=14) had similar survival: 1 y OS 86% vs. 93%, 5 y OS 57% vs. 71% (HR 1.43, 0.32–6.40; p=0.6408), with identical 1 y CIR (14%; HR 0.99, 0.2–4.0; p=0.9913). In PSM censoring for allo-HSCT, outcomes remained consistent except for T/My MPAL, which had significantly inferior OS vs. T-ALL (1 y OS 30% [4–62] vs. 67% [41–82]; HR 4.22, 1.3–14; p=0.0105), with no survivors beyond 5 y. Conclusion MPAL showed a trend toward worse OS and higher CIR vs. lineage-defined ALL, with significantly inferior OS in the T/My subtype post-transplant censoring. These findings underscore its high-risk nature and the need for collaborative studies to refine subtype-specific, risk-adapted treatment strategies for MPAL.

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 score0.003
Threshold uncertainty score0.010

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 communication0.0010.001
Open science0.0000.001
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 head0.032
GPT teacher head0.352
Teacher spread0.320 · 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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Published2025
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