MétaCan
Menu
← Retour à la cohorte
Enregistrement W4310106458 · doi:10.1182/blood-2022-163734

<i>JAK2 V617F</i> Mutation and Associated Chromosomal Alterations Involving <i>JAK2</i> in Pre-HCT Blood Samples and Transplant Outcomes in Myelofibrosis Subtypes

2022· article· en· W4310106458 sur OpenAlexaff
Maryam Rafati, Derek W. Brown, Weiyin Zhou, Kristine Jones, Wen Luo, Andrew St. Martin, Youjin Wang, Stephen R. Spellman, Tao Wang, H. Joachim Deeg, Vikas Gupta, Stephanie J. Lee, Stephen J. Chanock, Mitchell J. Machiela, Wael Saber, Shahinaz M. Gadalla

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueMyeloproliferative Neoplasms: Diagnosis and Treatment
Établissements canadiensUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMyelofibrosisEssential thrombocythemiaMedicinePolycythemia veraInternal medicineHazard ratioOncologyMyeloproliferative neoplasmCumulative incidenceTransplantationProportional hazards modelImmunologyBone marrowGastroenterologyConfidence interval

Résumé

récupéré en direct d'OpenAlex

Introduction: Myelofibrosis (MF) is a BCR-ABL1-negative myeloproliferative neoplasm that develops either de novo (primary myelofibrosis; PMF) or secondary to polycythemia vera (post-PV) or essential thrombocythemia (post-ET). JAK2 V617F is the most common somatic driver mutation in MF known to associate with disease progression. Allogeneic hematopoietic cell transplantation (HCT) is the only curative treatment modality for MF. There are limited data regarding the prognostic utility of JAK2 V617F mutation and mosaic chromosomal alterations (mCAs) spanning JAK2 in MF patients undergoing HCT. Methods: The study included 924 patients undergoing HCT for myelofibrosis (634 PMF, 135 post-PV, and 155 post-ET) between 2000-2016. Pre-HCT peripheral blood samples, clinical and post-HCT data were provided by the Center for International Blood and Marrow Transplant Research (CIBMTR) registry and biorepository. We used PacBio Single Molecule Real-Time (SMRT) sequencing to detect the JAK2 V617F mutation, and Illumina Infinium Global Screening Array-24v1-0 to identify mCAs; this analysis focused on mCAs involving JAK2 (9p24.1). We used the Kaplan-Meier estimator to calculate the probability of overall survival (OS), and the cumulative incidence estimator for relapse/disease progression incidence and non-relapse mortality (NRM), where each was treated as a competing event for the other. Cox proportional hazard models were used for multivariable analyses. Analyses were completed separately by MF disease subtype. Follow up started at date of HCT. Results:JAK2 V617F mutation was detected in 562 patients (60.8%) with noted expected differences by disease subtype (57.6% of patients with PMF, 97% of post-PV, and 42.6% of post-ET). Almost all patients with mCAs involving JAK2 region were found to be JAK2 V617F mutation-positive (366 out of 374, 97.9%). In JAK2 V617F positive cases, the frequencies of mCA-positive patients per MF subtypes were as follow: 58.08% of PMF, 89.3% of post-PV, and 56.06% of post-ET. The mean allele burden for JAK2 V617F mutation was 57%, 78%, and 60% in PMF, post-PV, and post-ET, respectively. The probabilities of 3-year post-HCT OS were 55% (95% CI=51-58) for PMF, 59% (95% CI=51-67) for post-PV and 59% (51-66) for post-ET. The corresponding 3-year post-HCT cumulative incidences for relapse were 31% (95% CI=28-35), 31% (95% CI=24-40), and 33% (95% CI=26-41); and for NRM were 29% (95% CI=26-33), 25% (95% CI=18-32), and 23% (95% CI=17-30), for PMF, post-PV, and post-ET, respectively. In PMF, JAK2V617F mutation, JAK2 mCAs, or mutation allele burden were not associated with any of the evaluated HCT outcomes (p>0.05 for all). In post-PV, all four patients without JAK2V617F mutation died in the first 12 months after transplantation. No statistically significant associations between HCT outcomes and JAK2V617F allele burden was noted (p>0.05). For post-ET, patients with high mutation allele burden (³60%) had three-fold excess risk of NRM compared with mutation-negative patients (hazard ratio [HR]=2.9, 95% CI=1.21-6.93, p=0.01). No risk difference was noted between post-ET patients with low allele burden and risk of NRM (HR=0.89, 95% CI=0.34-2.31). No statistically significant association between JAK2V617F mutation status and risk of relapse for high or low mutation allele burden as compared with mutation-negative post ET patients was observed (HR=1.42, p=0.30 in patients with allele burden<60%, and HR= 1.54, p=0.26 for patients with allele burden³60%). JAK2V617F mutation status in post-ET patients was not associated with post HCT OS (HR=1.31, 95% CI=0.78-2.2, p=0.31). Conclusion: The effect of JAK2V617F mutation on post-HCT outcome differs by myelofibrosis subtypes. HCT outcomes in primary and post-PV myelofibrosis were not associated with JAK2 alterations, but high JAK2V617F mutation allele burden in post-ET was associated with elevated risk of non-relapse mortality but did not translate to a statistically significant survival disadvantage. Our findings suggest that allogeneic HCT for myelofibrosis may alleviate the known negative effect of JAK2V617F mutation in those patients, particularly for primary myelofibrosis and post-PV. It is essential to consider evaluating these findings within the context of other MF driver genes. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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 enseignants0,002
Score d'incertitude au seuil0,006

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 savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,015
Tête enseignante GPT0,242
Écart entre enseignants0,227 · 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
Publié2022
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetMyeloproliferative Neoplasms: Diagnosis and Treatment→Travaux en français237 207→