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

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

2025· article· en· W4417019190 sur 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

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensUniversity of TorontoToronto General HospitalPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésRetrospective cohort studyMyeloidSurrogate endpointWhite blood cellBristol-MyersDiseaseClinical trial

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,032
Tête enseignante GPT0,352
Écart entre enseignants0,320 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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