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Co-mutation pattern, clonal hierarchy, and clone size concur to determine disease phenotype of SRSF2P95-mutated neoplasms
Somatic mutations in splicing factor genes frequently occur in myeloid neoplasms. While SF3B1 mutations are associated with myelodysplastic syndromes (MDS) with ring sideroblasts, SRSF2 P95 mutations are found in different disease categories, including MDS, myeloproliferative neoplasms (MPN), myelod...
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Published in: | Leukemia 2021-08, Vol.35 (8), p.2371-2381 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Somatic mutations in splicing factor genes frequently occur in myeloid neoplasms. While
SF3B1
mutations are associated with myelodysplastic syndromes (MDS) with ring sideroblasts,
SRSF2
P95
mutations are found in different disease categories, including MDS, myeloproliferative neoplasms (MPN), myelodysplastic/myeloproliferative neoplasms (MDS/MPN), and acute myeloid leukemia (AML). To identify molecular determinants of this phenotypic heterogeneity, we explored molecular and clinical features of a prospective cohort of 279
SRSF2
P95
-mutated cases selected from a population of 2663 patients with myeloid neoplasms. Median number of somatic mutations per subject was 3. Multivariate regression analysis showed associations between co-mutated genes and clinical phenotype, including
JAK2
or
MPL
with myelofibrosis (OR = 26.9);
TET2
with monocytosis (OR = 5.2); RAS-pathway genes with leukocytosis (OR = 5.1); and
STAG2
,
RUNX1
, or
IDH1/2
with blast phenotype (MDS or AML) (OR = 3.4, 1.9, and 2.1, respectively). Within patients with
SRSF2–JAK2
co-mutation
, JAK2
dominance was invariably associated with clinical feature of MPN, whereas
SRSF2
mutation was dominant in MDS/MPN. Within patients with
SRSF2–TET2
co-mutation, clinical expressivity of monocytosis was positively associated with co-mutated clone size. This study provides evidence that co-mutation pattern, clone size, and hierarchy concur to determine clinical phenotype, tracing relevant genotype–phenotype associations across disease entities and giving insight on unaccountable clinical heterogeneity within current WHO classification categories. |
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ISSN: | 0887-6924 1476-5551 |
DOI: | 10.1038/s41375-020-01106-z |