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干扰素 γ 对干扰素调节因子 1 的反应性可预测不同的癌症免疫表型。

IRF-1 responsiveness to IFN-γ predicts different cancer immune phenotypes.

机构信息

Infectious Disease and Immunogenetics Section (IDIS), Department of Transfusion Medicine, Clinical Center and trans-NIH Center for Human Immunology (CHI), National Institutes of Health, Bethesda, MD 20892, USA.

出版信息

Br J Cancer. 2013 Jul 9;109(1):76-82. doi: 10.1038/bjc.2013.335. Epub 2013 Jun 27.

Abstract

BACKGROUND

Several lines of evidence suggest a dichotomy between immune active and quiescent cancers, with the former associated with a good prognostic phenotype and better responsiveness to immunotherapy. Central to such dichotomy is the master regulator of the acute inflammatory process interferon regulatory factor (IRF)-1. However, it remains unknown whether the responsiveness of IRF-1 to cytokines is able to differentiate cancer immune phenotypes.

METHODS

IRF-1 activation was measured in 15 melanoma cell lines at basal level and after treatment with IFN-γ, TNF-α and a combination of both. Microarray analysis was used to compare transcriptional patterns between cell lines characterised by high or low IRF-1 activation.

RESULTS

We observed a strong positive correlation between IRF-1 activation at basal level and after IFN-γ and TNF-α treatment. Microarray demonstrated that three cell lines with low and three with high IRF-1 inducible translocation scores differed in the expression of 597 transcripts. Functional interpretation analysis showed mTOR and Wnt/β-cathenin as the top downregulated pathways in the cell lines with low inducible IRF-1 activation, suggesting that a low IRF-1 inducibility recapitulates a cancer phenotype already described in literature characterised by poor prognosis.

CONCLUSION

Our findings support the central role of IRF-1 in influencing different tumour phenotypes.

摘要

背景

有几条证据表明,免疫活跃和静止的癌症之间存在二分法,前者与良好的预后表型和对免疫治疗的更好反应性相关。这种二分法的核心是急性炎症过程的主调控因子干扰素调节因子(IRF)-1。然而,尚不清楚 IRF-1 对细胞因子的反应能力是否能够区分癌症免疫表型。

方法

在 15 种黑色素瘤细胞系中,在基础水平和用 IFN-γ、TNF-α 和两者的组合处理后,测量 IRF-1 的激活。使用微阵列分析比较具有高或低 IRF-1 激活的细胞系之间的转录模式。

结果

我们观察到基础水平和 IFN-γ 和 TNF-α 处理后 IRF-1 激活之间存在很强的正相关。微阵列表明,在低和高 IRF-1 可诱导易位评分的三个细胞系之间,有 597 个转录物的表达存在差异。功能解释分析显示,在低诱导性 IRF-1 激活的细胞系中,mTOR 和 Wnt/β-cathenin 是下调最多的途径,这表明低诱导性 IRF-1 可重现文献中已描述的预后不良的癌症表型。

结论

我们的发现支持了 IRF-1 在影响不同肿瘤表型中的核心作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/780a/3708578/c92a269050b2/bjc2013335f1.jpg

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