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Enregistrement W4389234429 · doi:10.1182/blood-2023-174790

Outcomes of Patients with Accelerated/Blast-Phase MPNs That Received Allogeneic Stem-Cell Transplant in the Current Era of Myeloid Therapies

2023· article· en· W4389234429 sur OpenAlexaff
Anand Patel, James Yoon, Hannah Johnston, Marta Davidson, Auro Viswabandya, Rory M. Shallis, Evan C. Chen, Madelyn Burkart, Timothy S. Oh, Sunil Iyer, Ellen Madarang, Chandrasekar Muthiah, Raven Dean, Joshua Kassner, Raajit K. Rampal, Guru Subramanian Guru Murthy, Terrence Bradley, Yasmin Abaza, Jacqueline S. Garcia, Vikas Gupta, Kristen Pettit, John Cursio, Olatoyosi Odenike

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineCohortTransplantationMyeloidHematopoietic stem cell transplantationOncologyGastroenterologySurgery

Résumé

récupéré en direct d'OpenAlex

Background Patients (pts) with Philadelphia chromosome-negative (Ph-neg) myeloproliferative neoplasms (MPNs) that progress to an accelerated phase (AP) or blast phase (BP) have a median overall survival (mOS) of less than 1 year (Odenike, Blood 2018; Tam et al, JCO 2009). Allogeneic hematopoietic stem cell transplant (allo-HCT) is the only curative approach for MPN-AP/BP, but mOS remains about a year for pts with MPN-BP that undergo allo-HCT (2005-2019) (Orti et al, AJH 2023). We previously reported on outcomes of pts with MPN-AP/BP treated in the current era of myeloid therapies (2017 onward) and found a mOS of 0.73 years in a multi-center cohort of 80 pts (Patel et al, ASH 2022). We aim to characterize treatment patterns and outcomes of pts with MPN-AP/BP that underwent allo-HCT via a multi-center retrospective analysis. Methods Retrospective chart review was performed at 8 institutions to identify pts with pathology-confirmed Ph-neg MPN-AP/BP diagnosed in 2017 or later. All patients that met inclusion criteria were included. Response was assessed using 2017 European Leukemia Net AML (2017 ELN) criteria (Dohner et al, Blood 2017). OS from diagnosis of MPN-AP/BP and from time of allo-HCT was calculated utilizing Kaplan-Meier analysis. Results The full MPN-AP/BP cohort consists of 180 pts. This analysis includes 58 pts that underwent allo-HCT for MPN-AP/BP across 8 institutions. Median age at MPN-AP/BP diagnosiswas 64 years. The most common therapies for chronic-phase MPN included hydroxyurea (55%), JAK inhibitor (JAKi) (26%), interferon (9%), and hypomethylating agent (HMA, 4%). No patient previously received allo-HCT for chronic-phase MPN. Driver mutations included JAK2 (60%), CALR (22%), MPL (10%), but some pts had triple-negative disease (7%). Sixty-two percent of pts had high-risk disease by 2017 ELN criteria. Forty-four pts had next-generation sequencing performed at time of MPN-AP/BP diagnosis. The most frequently co-occurring mutations detected at time of MPN-AP/BP diagnosis were ASXL1 (30%), SRSF2 (23%), RUNX1 (23%), TP53 (18%), TET2 (16%), IDH2 (11%), U2AF1 (7%), EZH2 (7%), and IDH1 (9%). Additional characteristics are in Table 1. One pt proceeded directly to allo-HCT at time of MPN-AP/BP diagnosis. Frontline therapies (1L) for MPN-AP included intensive chemotherapy (IC) (n=26), hypomethylating agent (HMA) + venetoclax (VEN) (n=16), HMA monotherapy (n=14), and low-dose cytarabine (LDAC) + VEN + JAKi (n=1). Responses are summarized in Table 2A. Thirty-seven pts proceeded to allo-HCT after 1L therapy (17 after IC, 10 after HMA+VEN, 9 after HMA, 1 after LDAC+VEN+JAKi). Twenty pts proceeded to allo-HCT after 2 nd-line and beyond (2L+) therapies. Therapies utilized and responses are summarized in Table 2B. Transplant-specific characteristics include 15 pts receiving myeloablative conditioning while 43 received reduced-intensity conditioning. Donor source was matched unrelated donor for 33 pts, haploidentical donor for 10 pts, matched related donor for 9 patients, mismatched unrelated donor for 5 patients, and cord blood for 1 patient. Twenty-two pts developed acute GVHD while 15 developed chronic GVHD. Amongst the 58 pts that underwent allo-HCT, 19 had relapse of disease and 8 patients received treatment after relapse. Amongst the full cohort of 180 patients, mOS was 0.72 years from time of MPN-AP/BP diagnosis. The mOS for the 58 pts that underwent allo-HCT was 1.82 years from time of MPN-AP/BP diagnosis and 1.30 years from time of allo-HCT. Survival analysis by initial MPN-AP/BP therapy demonstrated a mOS from time of MPN-AP/BP diagnosis of 1.9 years for HMA-based therapy, 1.9 years for HMA + VEN, and 1.5 years for IC ( p=0.006). We also analyzed mOS by disease status prior to transplant. Thirty-four pts had a complete response (CR) or CR with incomplete count recovery (CRi) with mOS of 1.7 years from time of allo-HCT, 12 pts with a partial response (PR) or morphologic leukemia-free state (MLFS) had mOS of 1.8 years, and 11 pts with treatment failure (TF) had mOS of 0.47 years (p=0.82). Conclusions Our cohort of 180 pts with MPN-AP/BP treated in the current era of myeloid therapies had limited survival with a mOS of 0.72 years from MPN-AP/BP diagnosis. Amongst the 58 pts that underwent allo-HCT the mOS was 1.82 years with longer mOS seen in pts that received HMA or HMA + VEN as their 1L therapy when compared to IC. This underscores the need for novel management strategies even in pts eligible for allo-HCT.

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)0,000
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
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
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 Opus0,032
Tête enseignante GPT0,281
Écart entre enseignants0,249 · 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

Citations1
Publié2023
Routes d'admission1
Résumé présentoui

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