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

被引:6
作者
Zhou, Lingna [1 ,4 ]
Ding, Liya [2 ,3 ]
Gong, Yuqi [2 ,3 ]
Zhao, Jing [2 ]
Xin, Gong [5 ]
Zhou, Ren [2 ,3 ]
Zhang, Wei [1 ,4 ]
机构
[1] Zhejiang Univ, Sch Med, Dept Pathol & Physiol, Canc Inst,Affiliated Hosp 2, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 1, Dept Pathol, Sch Med, Hangzhou, Zhejiang, Peoples R China
[3] Zhejiang Univ, Sch Med, Dept Pathol & Pathophysiol, Inst Pathol & Forens Med, Hangzhou, Zhejiang, Peoples R China
[4] Zhejiang Univ, Sch Med, Key Lab Dis Prote Zhejiang Prov, Hangzhou, Zhejiang, Peoples R China
[5] Westlake Univ, Sch Life Sci, Hangzhou, Zhejiang, Peoples R China
关键词
Host response (HR); Diffuse large B-cell lymphoma (DLBCL); Weighted gene co-expression network analysis (WGCNA); Integrated bioinformatic analyses; WEB SERVER; EXPRESSION; CANCER; BIOMARKERS; DATABASE;
D O I
10.7717/peerj.10269
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 CXCLIO as a real hub gene. The validation of upregulated expression level of CXCLIO was consistent with our study. CXCLIO 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.
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页数:22
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