Cytogenetics in Essential Thrombocythemia: Phenotype and Molecular Correlates and Prognostic Relevance in 818 Informative Cases
Notice bibliographique
Résumé
Abstract Background Cytogenetic abnormalities at diagnosis are relatively uncommon in essential thrombocythemia (ET). In the current study of 818 consecutive patients with ET who were fully annotated for karyotype, we describe the spectrum and prevalence of cytogenetic abnormalities at diagnosis, followed by a comprehensive assessment of phenotypic and molecular correlates and prognostic relevance. Methods The study cohort consisted of 818 consecutive patients with ET that were diagnosed according to the World health Organization 2016 criteria and underwent evaluation between 1967-2021. In order to minimize the inadvertent inclusion of patients with masked polycythemia vera, JAK2 mutated cases with hemoglobin (Hb) level >16 g/dL in women and 16.5 g/dL in men were excluded; similarly, cases with anemia defined by sex adjusted Hb level of <11 g/dL in women and <12.5 g/dL in men were also excluded, in order to avoid inadvertent inclusion of patients with prefibrotic myelofibrosis. Cytogenetic studies were performed either at or within one year of diagnosis and reported according to the International System for Human Cytogenetic Nomenclature. Disease status and survival information was updated in May 2021. JMP Pro 16.0.0 software package, SAS Institute, Cary, NC was utilized for all analyses. Results Prevalence and spectrum of cytogenetic abnormalities Karyotype was normal in 755 patients (92%), showed loss of Y chromosome (-Y) in 16 (2%), and showed abnormalities other than -Y in 47 (5.7%); most common abnormalities included del(20q) (n=10, 21%), trisomy 9 (n=8, 17%), trisomy 8 (n=2, 4%), del(5q) (n=2, 4%), and del(3p) (n=2, 4%). Other sole cytogenetic abnormalities were identified in 18 (38%) patients. Phenotypic and molecular correlates Abnormal karyotype, other than -Y, in comparison with normal karyotype was associated with older age (median age; 63 vs 58 years, p=0.02), lower hemoglobin level (p=0.003), and a higher incidence of arterial thrombosis prior to/at diagnosis (25% vs 13%; p=0.03). 603 patients were annotated for driver mutations; abnormal/normal/-Y frequencies were 78%/60%/71% for JAK2, 22%/26%/14% CALR, 0%/3%/0% MPL and 0%/10% /14% triple negative (p=0.31). NGS information was available in 226 patients and showed absence of ASXL1 mutation in all patients with abnormal karyotype vs 8/211 (4%) with normal karyotype vs 2/4 (50%) with -Y (p<0.0001). Disease transformation and overall-survival. At a median follow-up of 9.6 years (range; 0.01-49.4 years), a total of 96 patients (12%) underwent fibrotic transformation: 6 (13%) with abnormal karyotype, 89 (12%) with normal karyotype and 1 (6%) with -Y (p=0.77). Leukemic transformation rates were also similar with respective frequencies of 4%, 3% and 0% (p=0.71). Abnormal karyotype and -Y were associated with inferior survival with median of 12 years (range; 0.1-34) and 9 years (range; 0.01- 19.9), respectively, compared to 21 years (range; 0.01-49.4) for normal karyotype (p<0.0001) (Figure). In univariate analysis, risk factors for overall survival included abnormal karyotype (p=0.001), - Y (p=0.004), age >60 years (p<0.0001), leukocytosis >11 x10 9/L (p<0.0001), male gender (p=0.0003), and history of thrombosis (p=0.001). During multivariable analysis, abnormal karyotype other than -Y (p=0.003), age >60 years (p<0.0001), leukocytosis >11 x10 9/L (p=0.001), and male gender (p=0.01) remained significant. Additional analysis suggested individual prognostic impact for del(20q) (p=0.04) and also for trisomy 9 (p=0.09) and other abnormalities (p=0.07), with borderline significance. Conclusion The current study confirms the association of abnormal karyotype in ET with older age, lower hemoglobin level, and history of arterial thrombosis, and its mutual exclusivity with ASXL1 mutations. Our observation regarding the independent adverse impact of abnormal karyotype other than -Y, on overall survival, in the absence of association with fibrotic or leukemic transformation, requires clarification from additional studies, which should also investigate the effect of specific abnormalities. Figure 1 Figure 1. Disclosures Szuber: Novartis: Honoraria.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».