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Relationship between clone metrics and clinical outcome in clonal cytopenia

Articolo
Data di Pubblicazione:
2021
Abstract:
Clonal cytopenia of undetermined significance (CCUS) is associated with an increased risk of developing a myeloid neoplasm with myelodysplasia (MN). To identify the features of the mutant clone(s) that is associatedwith clinical phenotype and progression, we studied the following cohorts of individuals: 311 patients with idiopathic cytopenia of undetermined significance (ICUS), 532 community-dwelling individuals without hematologic phenotype (n 5 355) or with unexplained anemia (n 5 177), and 592 patients with overt MN. Ninety-two of 311 (30%) patients with ICUS carried a somatic genetic lesion that signaled CCUS. Clonal hematopoiesis (CH) was detected in 19.7% and 27.7% of nonanemic and anemic community-dwelling individuals, respectively. Different mutation patterns and variant allele frequencies (VAFs) (clone metrics parameters) were observed in the conditions studied. Recurrent mutation patterns exhibited different VAFs associated with marrow dysplasia (0.17-0.48), indicating variable clinical expressivity of mutant clones. Unsupervised clustering analysis based on mutation profiles identified 2 major clusters, characterized by isolated DNMT3A mutations (CH-like cluster) or combinatorial mutation patterns (MN-like cluster), and showing different overall survival (HR, 1.8). In patients with CCUS, the 2 clusters had different risk of progression toMN(HR, 2.7). Within the MN-like cluster, distinct subsets with different risk of progression to MN were identified based on clone metrics. These findings unveil marked variability in the clinical expressivity of myeloid driver genes and underline the limitations of morphologic dysplasia for clinical staging of mutant hematopoietic clones. Clone metrics appears to be critical for informing clinical decision-making in patients with clonal cytopenia.
Tipologia CRIS:
1.1 Articolo in rivista
Elenco autori:
Gallì, Anna; Todisco, Gabriele; Catamo, Eulalia; Sala, Cinzia; Elena, Chiara; Pozzi, Sara; Bono, Elisa; Ferretti, Virginia Valeria; Rizzo, Ettore; Molteni, Elisabetta; Zibellini, Silvia; Sarchi, Martina; Boveri, Emanuela; Ferrari, Jacqueline; Fiorelli, Nicolas; Camaschella, Clara; Gasparini, Paolo; Toniolo, Daniela; Cazzola, Mario; Malcovati, Luca
Autori di Ateneo:
MALCOVATI LUCA
SARCHI MARTINA
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1477347
Link al Full Text:
https://iris.unipv.it//retrieve/handle/11571/1477347/632787/bloodbld2021011323.pdf
https://iris.unipv.it//retrieve/handle/11571/1477347/672583/CC_Blood2021.pdf
Pubblicato in:
BLOOD
Journal
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