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白介素-15在急性T淋巴细胞白血病中的机制探索

李辰阳 张寒

李辰阳, 张寒. 白介素-15在急性T淋巴细胞白血病中的机制探索[J]. 昆明医科大学学报.
引用本文: 李辰阳, 张寒. 白介素-15在急性T淋巴细胞白血病中的机制探索[J]. 昆明医科大学学报.
Chenyang LI, Han ZHANG. Investigation of the Roles of Interleukin-15 in T-cell Acute Lymphoblastic Leukemia[J]. Journal of Kunming Medical University.
Citation: Chenyang LI, Han ZHANG. Investigation of the Roles of Interleukin-15 in T-cell Acute Lymphoblastic Leukemia[J]. Journal of Kunming Medical University.

白介素-15在急性T淋巴细胞白血病中的机制探索

基金项目: 云南省科技厅科技计划项目基础研究专项(202301AS070067);国家自然科学基金面上项目(82270188)
详细信息
    作者简介:

    李辰阳(2000~),男,江苏南京人,在读硕士研究生,主要从事肿瘤发病机制研究工作

    通讯作者:

    张寒,E-mail:jennifer_z@imbcams.com.cn

  • 中图分类号: R392;R733

Investigation of the Roles of Interleukin-15 in T-cell Acute Lymphoblastic Leukemia

  • 摘要:   目的  初步探究白介素-15(interleukin-15,IL-15)在急性T淋巴细胞白血病(T-cell acute lymphoblastic leukemia,T-ALL)中的作用机制。  方法  利用公开发表的T-ALL患者数据集syn54032669(n = 1335)及GSE33315(n = 38)分析IL-15转录水平与患者生存情况及微小残留病(minimal residual disease,MRD)之间的关系;利用R语言中DESeq2包对IL-15高表达组与低表达组进行差异表达基因分析,并利用clusterProfiler等包对差异表达基因进行富集分析;Annexin V/7-AAD染色实验与细胞生长曲线检测IL-15对T-ALL细胞凋亡与生长的影响;实时荧光定量PCR与免疫印迹实验检测IL-15对PI3K/AKT通路的影响及其对下游基因的转录调控作用。   结果  IL-15高表达组患者具有更长的总生存期(P < 0.05)与无事件生存期(P = 0.074),且MRD水平更低(P < 0.0001);IL-15增加早期凋亡细胞比例(P < 0.0001),但无法抑制T-ALL细胞的生长;IL-15显著下调神经营养受体酪氨酸激酶1(neurotrophic receptor tyrosine kinase 1,NTRK1)(P < 0.01)及成纤维细胞生长因子9(fibroblast growth factor 9,FGF9)(P < 0.05)的转录水平,并抑制NTRK1介导的PI3K/AKT通路激活;NTRK1FGF9高表达组患者的临床预后更差(P < 0.05)。   结论  IL-15在T-ALL中通过抑制NTRK1FGF9的转录及NTRK1介导的PI3K/AKT通路激活发挥类似肿瘤抑制因子作用。
  • 图  1  IL-15表达水平与患者预后之间的相关性($\bar x \pm s $)

    A:IL-15高表达组与低表达组的OS(左)及EFS(右)曲线;B:IL-15高表达组与低表达组中MRD水平的变化;C:治疗第46天MRD阳性组与阴性组中IL-15表达量的变化;D:不同亚型T-ALL患者中IL-15表达量的变化;E:IL-15高表达组与低表达组的免疫浸润分析结果;nsP > 0.05;*P < 0.05;**P < 0.01;***P < 0.001;****P < 0.0001。

    Figure  1.  Correlation between IL-15 level and clinical prognosis ($\bar x \pm s $)

    图  2  IL-15高表达组与低表达组之间DEGs的火山图

    Figure  2.  Volcano plot of DEGs between IL-15-high and IL-15-low groups

    图  3  富集分析结果

    A:上调DEGs的KEGG富集分析;B:NOTCH信号通路(左)以及PI3K/AKT通路(右)的GSEA富集分析;NES(normalized enrichment score):归一化富集得分。

    Figure  3.  Results of enrichment analyses

    图  4  免疫印迹实验检测IL-15处理后p-AKT的蛋白水平变化

    Figure  4.  Western blot assay of changes in p-AKT level after IL-15 treatment

    图  5  IL-15对T-ALL细胞生长与凋亡的影响($\bar x \pm s $,n = 3)

    A:柱状图显示各凋亡阶段比例及统计学分析结果;B:AnnexinV/7-ADD染色检测细胞凋亡情况;C:细胞生长曲线显示IL-15处理后T-ALL细胞的生长速度变化;nsP > 0.05;*P < 0.05;**P < 0.01;***P < 0.001;****P < 0.0001。

    Figure  5.  Influences of IL-15 on the growth and apoptosis of T-ALL cells ($\bar x \pm s $,n = 3)

    图  6  IL-15对HSCs相关基因以及T细胞发育阻滞的影响($\bar x \pm s $,n = 1068

    A:HSCs上调基因集(左)以及下调基因集(右)的GSEA分析结果;B:IL-15高表达组与低表达组中ETP分数(左)、双阴性早期阶段分数(中)及双阳性晚期阶段分数(右)的变化;C:IL-15高表达组与低表达组中KIT转录水平的变化;nsP > 0.05;*P < 0.05;**P < 0.01;***P < 0.001;****P < 0.0001。

    Figure  6.  Influences of IL-15 on HSCs-related genes and developmental retardation of T cells ($\bar x \pm s $,n = 1068

    图  7  IL-15与NTRK1以及FGF9的表达相关性分析($\bar x \pm s $,n = 3)

    A:HSCs与PI3K/AKT通路相关基因的韦恩图;B:IL-15NTRK1(左)或FGF9(右)的表达量散点图;C:RT-qPCR检测IL-15处理20 h后NTRK1FGF9表达量的变化;nsP > 0.05;*P < 0.05;**P < 0.01;***P < 0.001;****P < 0.0001。

    Figure  7.  Correlations between IL-15 and NTRK1 or FGF9 ($\bar x \pm s $,n = 3)

    图  8  NTRK1对PI3K/AKT通路以及T细胞发育阻滞的影响($\bar x \pm s $,n = 1335

    A:免疫印迹实验检测larotrectinib处理24 h后p-AKT的蛋白水平变化;B:NTRK1高表达组与低表达组中ETP分数(左)以及双阳性晚期阶段分数(右)的变化;nsP > 0.05;*P < 0.05;**P < 0.01;***P < 0.001;****P < 0.0001。

    Figure  8.  Influences of NTRK1 on PI3K/AKT pathway and developmental retardation of T cells ($\bar x \pm s $,n = 1335

    图  9  NTRK1FGF9的表达水平对T-ALL患者生存的影响

    A:NTRK1高表达组与低表达组的OS曲线;B:NTRK1高表达组与低表达组的EFS曲线;C:FGF9高表达组与低表达组的OS曲线;D:FGF9高表达组与低表达组的EFS曲线。

    Figure  9.  Influences of NTRK1 or FGF9 levels on patients’ survival

    图  10  基于NTRK1FGF9表达量进行生存分析的ROC曲线

    A:基于NTRK1表达量进行OS分析的ROC曲线;B:基于NTRK1表达量进行EFS分析的ROC曲线;C:基于FGF9表达量进行OS分析的ROC曲线;D:基于FGF9表达量进行EFS分析的ROC曲线;以上OS与EFS分析均选取半年、三年与十年时间点;图上标注约登指数最大化时的灵敏度以及特异度。

    Figure  10.  ROC plots of survival analyses based on NTRK1 or FGF9 levels

    图  11  NTRK1FGF9的表达上调提示不良预后($\bar x \pm s $)

    A:NTRK1(左)或FGF9(右)高表达组与低表达组中MRD水平的变化;B:MRD结果不同的患者中NTRK1(左)及FGF9(右)表达量的变化;C:不同亚型T-ALL患者中NTRK1(左)及FGF9(右)表达量的变化; nsP > 0.05,*P < 0.05;**P < 0.01;***P < 0.001;****P < 0.0001。

    Figure  11.  Elevated NTRK1 or FGF9 levels predict worse prognosis ($\bar x \pm s $)

    表  1  实时荧光定量PCR使用的引物序列

    Table  1.   Primer sequences designed for real-time quantitative PCR

    基因 引物序列(5’-3’) 引物长度(bp)
    NTRK1 F: GCTGGCTCTTCAATGGCTC 19
    R: GTGTAGTTGCCGTTGTTGACG 21
    FGF9 F: TGCAGGACTGGATTTCACTTAGA 23
    R: ACTCTTGGGTTAGTTTTTCTGATCC 24
    ACTB F: GTTGAGAACCGTGTACCATGT 21
    R: TTCCCACAATTTGGCAAGAGC 21
    下载: 导出CSV
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出版历程
  • 收稿日期:  2026-01-20
  • 网络出版日期:  2026-04-26

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