Dataset Information

Identification of a novel functional JAK1 S646P mutation in acute lymphoblastic leukemia.

ABSTRACT: The survival rate of childhood acute lymphoblastic leukemia (ALL) is approaching 90%, while the prognosis of adults remains poor due to the limited therapeutic approaches. In order to identify new targets for ALL, we performed whole-exome sequencing on four adults with B-ALL and discovered a somatic JAK1 S646P mutation. Sanger sequencing of JAK1 was conducted on 53 ALL patients, and two cases exhibited A639G and P960S mutations separately. Functional studies demonstrated that only JAK1 S646P mutation could activate multiple signaling pathways, drive cytokine-independent cell growth, and promote proliferation of malignant cells in nude mice. Moreover, a high sensitivity to the JAK1/2 inhibitor ruxolitinib was observed in S646P mutant model. Exploration in a total of 209 ALL cases showed that JAK1 mutations occur at a frequency of 10.5% in T-ALL (2/19) and 1.6% in B-ALL (3/190). Collectively, our results suggested that JAK1 S646P is an activating mutation in vitro and in vivo. JAK-STAT pathway might represent a promising therapeutic target for ALL.

SUBMITTER: Li Q

PROVIDER: S-EPMC5471003 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Identification of a novel functional JAK1 S646P mutation in acute lymphoblastic leukemia.

Li Qian Q Li Botao B Hu Liangding L Ning Hongmei H Jiang Min M Wang Danhong D Liu Tingting T Zhang Bin B Chen Hu H

Oncotarget 20170501 21

The survival rate of childhood acute lymphoblastic leukemia (ALL) is approaching 90%, while the prognosis of adults remains poor due to the limited therapeutic approaches. In order to identify new targets for ALL, we performed whole-exome sequencing on four adults with B-ALL and discovered a somatic JAK1 S646P mutation. Sanger sequencing of JAK1 was conducted on 53 ALL patients, and two cases exhibited A639G and P960S mutations separately. Functional studies demonstrated that only JAK1 S646P mut ...[more]

PMID: 28410228

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Project description:This study aimed to explore novel long non-coding RNAs (lncRNAs) and the underlying mechanisms involved in childhood acute lymphoblastic leukemia (cALL). The GSE67684 dataset was downloaded from the Gene Expression Omnibus. Differentially expressed genes (DEGs) and lncRNAs (DELs) between Days 0, 8, 15 and 33 were isolated using random variance model corrective analysis of variance. Overlapping DEGs and DELs were clustered using Cluster 3.0. Bio-functional enrichment analysis was performed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Interactions between lncRNAs and mRNAs were calculated using dynamic simulations, and interactions among mRNAs were predicted using the STRING database. lncRNA-mRNA and protein-protein interaction (PPI) networks were visualized using Cytoscape. Subsequently, the expression levels of lncRNAs in biological samples from children with or without cALL were validated using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). A total of 593 overlapping DEGs and 21 DELs were identified. After clustering, Profile 26 exhibited a continuously increasing temporal trend, whereas Profile 1 exhibited a continuous decreasing trend. Upregulated DEGs were significantly enriched in 1,825 GO terms and 166 KEGG pathways, whereas downregulated DEGs were significantly enriched in 196 GO terms and 90 KEGG pathways. The lncRNAs NONHSAT027612.2 and NONHSAT134556.2 were the top two regulators in the lncRNA-mRNA network. Toll-like receptor 4, cathepsin G, nucleotide-binding oligomerization domain containing 2 and cathepsin S may be considered the hub genes of the PPI network. RT-qPCR results indicated that the expression levels of the lncRNAs NONHSAT027612.2 and NONHSAT134556.2 were significantly elevated in the blood and bone marrow of patients with cALL compared with the controls. In conclusion, the lncRNAs NONHSAT027612.2 and NONHSAT134556.2 may serve important roles in the pathogenesis of cALL via regulating immune response-associated pathways.

Dataset Information

Identification of a novel functional JAK1 S646P mutation in acute lymphoblastic leukemia.

Publications

Identification of a novel functional JAK1 S646P mutation in acute lymphoblastic leukemia.

Similar Datasets

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