Conventional Cytogenetic Analysis and Array CGH + SNP Identify Essential Thrombocythemia and Prefibrotic Primary Myelofibrosis Patients Who Are at Risk for Disease Progression.
Comparative Genomic Hybridization + Single Nucleotide Polymorphism array
MPN disease progression
Philadelphia chromosome-negative myeloproliferative neoplasms
conventional cytogenetics
essential thrombocythemia
prefibrotic primary myelofibrosis
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
05 Apr 2024
05 Apr 2024
Historique:
received:
26
02
2024
revised:
26
03
2024
accepted:
29
03
2024
medline:
13
4
2024
pubmed:
13
4
2024
entrez:
13
4
2024
Statut:
epublish
Résumé
The Philadelphia chromosome-negative myeloproliferative neoplasms (Ph-MPNs) are a heterogeneous group of clonal hematopoietic malignancies that include polycythemia vera (PV), essential thrombocythemia (ET), and the prefibrotic form of primary myelofibrosis (prePMF). In this study, we retrospectively reviewed the karyotypes from conventional cytogenetics (CC) and array Comparative Genomic Hybridization + Single Nucleotide Polymorphism (aCGH + SNP) in patients with ET or prePMF to determine whether the combined analysis of both methodologies can identify patients who may be at a higher risk of disease progression. We performed a comprehensive genomic review on 169 patients with a clinical diagnosis of ET (154 patients) or prePMF (15 patients). Genomic alterations detected by CC or array-CGH + SNP were detected in 36% of patients. In patients who progressed, 68% had an abnormal genomic finding by either technology. There was a shorter progression-free survival (PFS) among patients who were cytogenetically abnormal or who were cytogenetically normal but had an abnormal aCGH + SNP result. Leveraging the ability to detect submicroscopic copy number alterations and regions of copy neutral-loss of heterozygosity, we identified a higher number of patients harboring genomic abnormalities than previously reported. These results underscore the importance of genomic analysis in prognostication and provide valuable information for clinical management and treatment decisions.
Identifiants
pubmed: 38612873
pii: ijms25074061
doi: 10.3390/ijms25074061
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM