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通过综合生物信息学分析鉴定与以宿主反应为特征的弥漫性大B细胞淋巴瘤1型发病机制相关的枢纽基因。

Identification of hub genes associated with the pathogenesis of diffuse large B-cell lymphoma subtype one characterized by host response via integrated bioinformatic analyses.

作者信息

Zhou Lingna, Ding Liya, Gong Yuqi, Zhao Jing, Xin Gong, Zhou Ren, Zhang Wei

机构信息

Department of Pathology and Physiology, Cancer Institute, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Key Laboratory of Disease Proteomics of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

出版信息

PeerJ. 2020 Nov 20;8:e10269. doi: 10.7717/peerj.10269. eCollection 2020.

Abstract

BACKGROUND

Host response diffuse large B-cell lymphoma (HR DLBCL) shares features of histologically defined T-cell/histiocyte-rich B-cell lymphoma, including fewer genetic abnormalities, frequent splenic and bone marrow involvement, and younger age at presentation. HR DLBCL is inherently less responsive to the standard treatment for DLBCL. Moreover, the mechanism of infiltration of HR DLBCL with preexisting abundant T-cells and dendritic cells is unknown, and their associated underlying immune responses incompletely defined. Here, hub genes and pathogenesis associated with HR DLBCL were explored to reveal molecular mechanisms and treatment targets.

METHODS

Differentially expressed genes were identified in three datasets (GSE25638, GSE44337, GSE56315). The expression profile of the genes in the GSE53786 dataset was used to constructed a co-expression network. Protein-protein interactions analysis in the modules of interest identified candidate hub genes. Then screening of real hub genes was carried out by survival analysis within the GSE53786 and GSE10846 datasets. Expression of hub genes was validated in the Gene expression profiling interactive analysis, Oncomine databases and human tissue specimens. Functional enrichment analysis and Gene set enrichment analysis were utilized to investigate the potential mechanisms. Tumor Immune Estimation Resource and The Cancer Genome Atlas were used to mine the association of the hub gene with tumor immunity, potential upstream regulators were predicted using bioinformatics tools.

RESULTS

A total of 274 common differentially expressed genes were identified. Within the key module, we identified CXCL10 as a real hub gene. The validation of upregulated expression level of CXCL10 was consistent with our study. CXCL10 might have a regulatory effect on tumor immunity. The predicted miRNA (hsa-mir-6849-3p) and transcription factor (IRF9) might regulate gene expression in the hub module.

摘要

背景

宿主反应性弥漫性大B细胞淋巴瘤(HR DLBCL)具有组织学定义的富含T细胞/组织细胞的B细胞淋巴瘤的特征,包括较少的基因异常、脾脏和骨髓频繁受累以及发病时年龄较轻。HR DLBCL对DLBCL的标准治疗固有反应性较低。此外,HR DLBCL中预先存在大量T细胞和树突状细胞的浸润机制尚不清楚,其相关的潜在免疫反应也未完全明确。在此,探索与HR DLBCL相关的枢纽基因和发病机制,以揭示分子机制和治疗靶点。

方法

在三个数据集(GSE25638、GSE44337、GSE56315)中鉴定差异表达基因。使用GSE53786数据集中基因的表达谱构建共表达网络。在感兴趣的模块中进行蛋白质-蛋白质相互作用分析,以鉴定候选枢纽基因。然后通过GSE53786和GSE10846数据集中的生存分析对真正的枢纽基因进行筛选。在基因表达谱交互式分析、Oncomine数据库和人体组织标本中验证枢纽基因的表达。利用功能富集分析和基因集富集分析来研究潜在机制。使用肿瘤免疫估计资源和癌症基因组图谱挖掘枢纽基因与肿瘤免疫的关联,使用生物信息学工具预测潜在的上游调节因子。

结果

共鉴定出274个常见的差异表达基因。在关键模块中,我们将CXCL10鉴定为真正的枢纽基因。CXCL10表达水平上调的验证与我们的研究一致。CXCL10可能对肿瘤免疫具有调节作用。预测的miRNA(hsa-mir-6849-3p)和转录因子(IRF9)可能调节枢纽模块中的基因表达。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632b/7682441/4c0f97378f04/peerj-08-10269-g001.jpg

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