Correlation of the transcription factors IRF4 and BACH2 with the abnormal NFATC1 expression in T cells from chronic myeloid leukemia patients

T cell dysfunction is a common characteristic of patients with myeloid leukemia and is closely related to clinical efficacy and prognosis. In order to clarify the mechanisms leading to the T cell dysfunction, we characterized the gene expression profile of T cells from chronic myelogenous leukemia (...

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Veröffentlicht in:Hematology (Luxembourg) 2022-12, Vol.27 (1), p.523-529
Hauptverfasser: Zhang, Yikai, Zeng, Xiangbo, Zha, Xianfeng, Lai, Jing, Tan, Guangxiao, Chen, Shaohua, Yu, Xibao, Li, Yangqiu, Xu, Ling
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Sprache:eng
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Zusammenfassung:T cell dysfunction is a common characteristic of patients with myeloid leukemia and is closely related to clinical efficacy and prognosis. In order to clarify the mechanisms leading to the T cell dysfunction, we characterized the gene expression profile of T cells from chronic myelogenous leukemia (CML) patients by microarray analysis and investigated the related regulating pathway. We employed gene expression profiling, bioinformatics and real-time quantitative reverse transcription PCR (RT-qPCR) to detect genes differentially expressed in CML patients versus healthy donors. There were 1704 genes differentially expressed between CD3 + T cells from CML patients and healthy donors, including 868 up-regulated genes and 836 down-regulated genes, which mostly related to T cell functional pathways. In particular, lower expression of NFATC1, a member of the TCR signaling pathway, was detected in CD3 + T cells from CML patients. We further found that the expression of IRF4 and BACH2, transcription factors that potentially regulate NFATC1, in CD3 + T cells from CML patients was significantly lower than that in healthy donors. We for the first time observed the altered gene expression profiles of CD3 + T cells from CML patients, and the results suggested that IRF4, BACH2 and NFATC1 may be involved in regulating T cell dysfunction in CML patients in the form of a transcriptional regulatory network. These findings may provide potential targets for tyrosine kinase inhibitors in combination with other targeted immunotherapies .
ISSN:1607-8454
1607-8454
DOI:10.1080/16078454.2022.2066245