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Enregistrement W4417004679 · doi:10.1182/blood-2025-4608

CPX-351 is a feasible bridge to allogeneic hematopoietic stem cell transplantation in TP53 mutated acute myeloid leukemia with  myelodisplastic related changes or therapy related without del(17p): Sub-analysis from a large italian real world retrospective study

2025· article· en· W4417004679 sur OpenAlexaff
Elisabetta Todisco, Ivana Lotesoriere, Federico Lussana, Valentina Mancini, Federica Gigli, Cristina Papayannidis, Michela Rondoni, Felicetto Ferrara, Sara Mastaglio, Annalina Piccioni, Michelina Dargenio, Andrea Corbingi, Francesco Mannelli, Alessandro Cignetti, Patrizia Zappasodi, Maria Paola Martelli, Monia Lunghi, Luana Fianchi, Patrizia Chiusolo, Francesco Grimaldi, Federica Pilo, Carla Filì, Debora Capelli, M. Breccia, Monica Bocchia, Monica Fumagalli, Sara Galimberti, Luca Maurillo, Calogero Vetro, Alessandra Sperotto, Caterina Patti, Erika Borlenghi, Federica Lessi, Alessandro Isidori, Raffaele Palmieri, Caterina Alati, Samuele Gatani, Chiara Pessina, Paola Minetto, Carola Riva, Marco Frigeni, Nicola Stefano Fracchiolla, Carla Mazzone, Marco Cerrano, Massimo Bernardi, Michele Gottardi, Roberto Cairoli, Adriano Venditti, Livio Pagano, Roberto M. Lemoli, Fabio Guolo

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversity Hospital Foundation
Organismes subventionnairesnon disponible
Mots-clésMyeloid leukemiaContext (archaeology)HematologyHematopoietic stem cell transplantationTransplantationLeukemiaPopulationMyeloid

Résumé

récupéré en direct d'OpenAlex

Abstract CPX-351 has been approved for Acute Myeloid Leukemia (AML) with myelodysplasia related changes (AML-MRC) and therapy-related (t-AML) induction. The likelihood of TP53 mutations (TP53m) in this setting is 20-35% but, considering the many variables of TP53m topography and configuration, the assessment of the prognostic impact of TP53 lesions may be challenging. This is the largest subanalysis about the outcome of TP53m AML-MRC and t-AML patients (pts) homogeneously treated with CPX-351 and has been conducted between January 2019 and December 2021 within the italian retrospective real world study about 513 pts (Guolo F. and Todisco E., paper submitted to American Journal of Hematology). Over 335 evaluable pts, in 51 (15%), 39 AML-MRC and 12 t-AML, TP53m were detected by Sanger (n=5) or Next Generation Sequencing (n=28) analysis or both (n=18). Median age was 63 years (range 23-73). Among the 286 TP53 wild-type pts (TP53w), 162 (57%) had complex karyotype (CK) and 10 (3%) del(17p) (9 of which in the context of CK) while, among the 51 TP53m pts, CK was found in 29 (57%) and del(17p) in 6 (12%) (5 of which with CK). According to Grob T. et al., Blood 2022, 26 of 50 evaluable TP53m pts (51%) were classified as biallelic. We also analysed the TP53m population according to Bahaj W. et al., Journal of Hematology & Oncology 2023 (applicable in 40 pts) finding substantial overlap in the assignment of allelic status. According to both classifications, a CK was significantly more frequent among biallelic mutated pts: 22 CK/26 biallelic mutated pts (85%), vs 6/24 (25%) among monoallelic (p<0.05) while all pts with a del(17p) had a biallelic mutation. Twenty-four of 51 TP53m pts (47%) and 162 of 286 TP53wt pts (57%) obtained complete remission or complete remission with incomplete hematologic recovery (CR/CRi) (p .096). In multivariate analysis for CR considering molecular and cytogenetic characteristics including allelic TP53 status, del(17p) resulted the only variable with independent negative prognostic impact (p .018, HR 1.05-1.55). In fact, among the 6 pts with del(17p), none achieved CR. Overall, 122/286 (43%) TP53wt pts and 15/51 (29%) of the TP53m cohort underwent allogeneic stem cell transplantation (allo-SCT). Among the 15 TP53m transplanted pts, 40% (n=6) had a biallelic mutation, 33% (n=5) had CK (but none with del(17p). After a median follow up of 23,67 months (m) (CI 95% 21.47-25.86), median OS (mOS) of the TP53w population was 17,1 m (range 16.7-20.27) vs 9,5 m (range 6.8-12.4) for TP53m, p .064; no significative difference but a trend was observed between TP53w and TP53 mono vs biallelic (mOS 17.1 m and 18.53 m vs 8.2 m respectively, p .110). We have therefore performed analyses based on the presence of CK: mOS was 19,3 m for TP53w pts without CK and 14,6 m for those carrying CK (p .117) vs respectively 32,5 m and 11,5 m (p .053) within TP53m cohort. A CK was not significantly related to a worse survival regardless of allelic status (mOS not reached and 10.3 m for pts without CK with mono and biallelic mutation vs respectively 4.7 m and 7.9 m for those with CK, p .496). Within the TP53m cohort, the presence of a missense TP53m vs other mutations (frameshift, nonsense, splice or intronic) resulted in non significant survival difference (p .213) as between canonical or non canonical missense TP53m (p .265). Furthermore, we did not find any impact on survival when we considered co-mutations (available only in 35 of 51 TP53m pts), their number or combinations. Del(17p) was instead the only factor having a negative impact on survival (mOS 4,7 m with del(17p) vs 13,6 m without, p.005). In a landmark analysis of TP53m pts alive and in 1st CR at 3 m who underwent allo-SCT (n=15, 62% of those achieving CR), mOS was not reached vs 10,3 m for not transplanted pts (p .347). We were unable to perform further subanalyses in this context because of the small population size. Although the incidence of TP53 mutations is likely underestimated due to the retrospective nature of the study, our analysis shows that CPX-351 is a feasible therapeutic option as bridge to allo-SCT also in a difficult subset like TP53m AML-MRC and t-AML unless if del(17p) is also present. We are conducting a retrospective and prospective expansion of the study in order to verify our findings on a larger sample size.

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)0,001
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 enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,016
Tête enseignante GPT0,291
Écart entre enseignants0,275 · 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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