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基于免疫基因组景观分析的胶质瘤预后指标的建立。

Development of a prognostic index based on immunogenomic landscape analysis in glioma.

机构信息

Department of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.

East China Institute of Digital Medical Engineering, Shangrao, Jiangxi, China.

出版信息

Immun Inflamm Dis. 2021 Jun;9(2):467-479. doi: 10.1002/iid3.407. Epub 2021 Jan 27.

DOI:10.1002/iid3.407
PMID:33503296
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8127549/
Abstract

BACKGROUND

Glioma is the most common intracranial tumor. The inflammatory response actively participates in the malignancy of gliomas. There is still limited knowledge about the biological function of immune-related genes (IRGs) and their potential involvement in the malignancy of gliomas.

METHODS

We screened differentially expressed and survival-associated IRGs, and explored their potential molecular characteristics. Then we developed a prognostic index derived from seven hub IRGs. A prognostic nomogram was built to indicate the prognostic value of the prognostic index and seven IRGs. We characterized the immune infiltration landscape to analyze tumor-immune interactions. The real-time quantitative polymerase chain reaction assay was performed to validate bioinformatics results.

RESULTS

The differentially expressed IRGs are involved in cell chemotaxis, cytokine activity, and the chemokine-mediated signaling pathway. The prognostic index derived from seven IRGs had clinical prognostic value in glioma, and positively correlated with the malignant clinicopathological characteristics. A nomogram further indicated that the prognostic index and seven hub IRGs had clinical prognostic value for gliomas. We revealed that the prognostic index could reflect the state of the glioma immune microenvironment.

CONCLUSION

This study demonstrates the importance of an IRG-based prognostic index as a potential biomarker for predicting malignancy in gliomas.

摘要

背景

脑胶质瘤是最常见的颅内肿瘤。炎症反应积极参与脑胶质瘤的恶性转化。目前对于免疫相关基因（IRGs）的生物学功能及其在脑胶质瘤恶性转化中的潜在作用的了解还很有限。

方法

我们筛选了差异表达和与生存相关的 IRGs，并探讨了它们潜在的分子特征。然后，我们从七个关键 IRGs 中开发了一个预后指数。构建了一个预后列线图，以表明预后指数和七个 IRGs 的预后价值。我们对免疫浸润景观进行了特征分析，以分析肿瘤-免疫相互作用。通过实时定量聚合酶链反应（PCR）检测验证了生物信息学结果。

结果

差异表达的 IRGs 参与了细胞趋化、细胞因子活性和趋化因子介导的信号通路。由七个 IRGs 组成的预后指数对脑胶质瘤具有临床预后价值，并且与恶性临床病理特征呈正相关。列线图进一步表明，该预后指数和七个关键 IRGs 对脑胶质瘤具有临床预后价值。我们揭示了该预后指数可以反映脑胶质瘤免疫微环境的状态。

结论

本研究表明，基于 IRG 的预后指数作为预测脑胶质瘤恶性程度的潜在生物标志物具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/5d812edf2ded/IID3-9-467-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/02a905489998/IID3-9-467-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/ada87b108c14/IID3-9-467-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/d8233915d912/IID3-9-467-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/1b7a1d7f8f42/IID3-9-467-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/6ef78c05d4c0/IID3-9-467-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/af6d06fd78ab/IID3-9-467-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/5d812edf2ded/IID3-9-467-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/02a905489998/IID3-9-467-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/ada87b108c14/IID3-9-467-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/d8233915d912/IID3-9-467-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/1b7a1d7f8f42/IID3-9-467-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/6ef78c05d4c0/IID3-9-467-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/af6d06fd78ab/IID3-9-467-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2515/8127549/5d812edf2ded/IID3-9-467-g005.jpg

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TAK1 Inhibitor Enhances the Therapeutic Treatment for Glioblastoma.TAK1抑制剂增强胶质母细胞瘤的治疗效果。
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