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Alternative expression of TCR? related genes in patients with chronic myeloid leukemia.

ABSTRACT: A previous study has demonstrated a significant decrease in the TCR? gene expression level in chronic myeloid leukemia (CML); thus, we further investigated the expression of TCR?-regulating factors, the distribution of the TCR? 3' untranslated region (3'-UTR) splice variants, and the expression level and correlation of the alternative splicing factor/splicing factor 2 (ASF/SF-2), Fc?RI? and ZAP-70 genes. TCR? 3'-UTR splice variants were identified in peripheral blood mononuclear cells (PBMCs) from 14 healthy individuals, 40 patients with CML and 22 patients with CML in complete remission (CML-CR) by RT-PCR. The expression level of the TCR?, Fc?RI?, ASF/SF-2 and ZAP-70 genes was analyzed by real-time quantitative PCR. While the expression of TCR? gene in the CML group was significantly lower than that in the healthy individual and CML-CR groups, a significantly higher expression of the FceRI? and ASF/SF-2 genes was found in the CML group. Two types of splicing forms were detected in all of the healthy individual CML-CR cases: wild type (WT) TCR? 3'-UTR and alternatively splieced (AS) TCR? 3'-UTR which have been alternatively splieced in the WT TCR? 3'-UTR . However, 35% of the CML cases contained only the wild type TCR? 3'-UTR isoform. Based on the TCR? 3'-UTR isoform expression characteristic, we divided the patients with CML into two subgroups: the WT+AS- CML group, containing patients that express only the wild type TCR? 3'-UTR, and the WT+AS+ CML group, which contained patients that expressed two TCR? 3'-UTR isoforms. A significantly different ASF/SF-2 and Fc?RI? gene expression pattern was found between the WT+AS- and WT+AS+CML groups. We concluded that defective TCR? expression may be characterized in the WT+AS-and WT+AS+CML subgroups by the different gene expression pattern. The overexpression of ASF/SF2, which alternatively splices the TCR? 3'-UTR, is thought to participate in feedback regulation. The characteristics of TCR? 3'-UTR alternative splicing may be a novel immunological marker for the evaluation of the CML immune status.

SUBMITTER: Zha X

PROVIDER: S-EPMC3544630 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

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Alternative expression of TCRζ related genes in patients with chronic myeloid leukemia.

Zha Xianfeng X Yan Xiaojuan X Shen Qi Q Zhang Yuping Y Wu Xiuli X Chen Shaohua S Li Bo B Yang Lijian L Geng Suxia S Weng Jianyu J Du Xin X Li Yangqiu Y

Journal of hematology & oncology 20121210

A previous study has demonstrated a significant decrease in the TCRζ gene expression level in chronic myeloid leukemia (CML); thus, we further investigated the expression of TCRζ-regulating factors, the distribution of the TCRζ 3' untranslated region (3'-UTR) splice variants, and the expression level and correlation of the alternative splicing factor/splicing factor 2 (ASF/SF-2), FcεRIγ and ZAP-70 genes. TCRζ 3'-UTR splice variants were identified in peripheral blood mononuclear cells (PBMCs) fr ...[more]

PMID: 23228155

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Project description:Background Chronic myeloid leukemia (CML) is a malignant hyperplastic tumor of the bone marrow originating from pluripotent hematopoietic stem cells. The advent of tyrosine kinase inhibitors (TKIs) has greatly improved the survival rate of patients with CML. However, TKI-resistance leads to the disease recurrence and progression. This study aimed to identify immune-related genes (IRGs) associated with CML progression. Methods We extracted the gene’s expression profiles from the Gene Expression Omnibus (GEO). Bioinformatics analysis was used to determine the differentially expressed IRGs of CML and normal peripheral blood mononuclear cells (PBMCs). Functional enrichment and gene set enrichment analysis (GSEA) were used to explore its potential mechanism. Hub genes were identified using Molecular Complex Detection (MCODE) and the CytoHubba plugin. The hub genes’ diagnostic value was evaluated using the receiver operating characteristic (ROC). The relative proportions of infiltrating immune cells in each CML sample were evaluated using CIBERSORT. Quantitative real-time PCR (RT-qPCR) was used to validate the hub gene expression in clinical samples. Results A total of 31 differentially expressed IRGs were identified. GO analyses revealed that the modules were typically enriched in the receptor ligand activity, cytokine activity, and endopeptidase activity. KEGG enrichment analysis of IRGs revealed that CML involved Th17 cell differentiation, the NF-kappa B signaling pathway, and cytokine-cytokine receptor interaction. A total of 10 hub genes were selected using the PPI network. GSEA showed that these hub genes were related to the gamma-interferon immune response, inflammatory response, and allograft rejection. ROC curve analysis suggested that six hub genes may be potential biomarkers for CML diagnosis. Further analysis indicated that immune cells were associated with the pathogenesis of CML. The RT-qPCR results showed that proteinase 3 (PRTN3), cathepsin G (CTSG), matrix metalloproteinase 9 (MMP9), resistin (RETN), eosinophil derived neurotoxin (RNase2), eosinophil cationic protein (ECP, RNase3) were significantly elevated in CML patients’ PBMCs compared with healthy controls. Conclusion These results improved our understanding of the functional characteristics and immune-related molecular mechanisms involved in CML progression and provided potential diagnostic biomarkers and therapeutic targets.

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Alternative expression of TCR? related genes in patients with chronic myeloid leukemia.

Publications

Alternative expression of TCRζ related genes in patients with chronic myeloid leukemia.

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