Bioinformatic validation identifies candidate key genes in diffuse large-B cell lymphoma

被引：7

作者：

Huang, Qian ^{[1
]}

Liu, Feifei ^{[1
]}

Shen, Jianzhen ^{[1
]}

机构：

[1] Fujian Med Univ, Affiliated Union Hosp, Fujian Prov Key Lab Hematol, Dept Hematol, 29 Xinquan Rd, Fuzhou 350001, Fujian, Peoples R China

来源：

PERSONALIZED MEDICINE | 2019年 / 16卷 / 04期

关键词：

bioinformatical analysis; different expression genes; diffuse large B-cell lymphoma; hub genes; pathways; prognosis; EXPRESSION; CLASSIFICATION; PROLIFERATION; METAANALYSIS; INHIBITION; NETWORKS; PATHWAYS; TISSUE; PAICS;

D O I：

10.2217/pme-2018-0068

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Aim: In this study, four datasets concerning 167 diffuse large B-cell lymphoma (DLBCL) patients versus 56 controls and seven datasets involving 280 germinal center B-cell like (GCB) versus 224 activated B-cell like (ABC) DLBCL were included. Materials & methods: We identified 80 different expression genes (DEGs) for DLBCL versus nontumor and 77 DEGs for GCB versus ABC DLBCL. Results: These DEGs were found to be enriched in cell activity, signal transduction and extracellular region. Then ten central node genes for DLBCL versus nontumor and two hub genes for GCB versus ABC DLBCL were identified. Last, PAICS, IRF4 and PTPN1 were explored to be correlated with poor prognosis in DLBCL patients. Conclusion: Our study has identified critical genes from transcriptional profiles for DLBCL.

引用

页码：313 / 323

页数：11

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