Bioinformatic validation identifies candidate key genes in diffuse large-B cell lymphoma-Reference-Cited by-同舟云学术

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

Published:2019-07 Issue:4 Volume:16 Page:313-323
ISSN:1741-0541
Container-title:Personalized Medicine
language:en
Short-container-title:Personalized Medicine

Author:

Huang Qian¹^ORCID,Liu Feifei¹^ORCID,Shen Jianzhen¹^ORCID

Affiliation:

1. Department of Hematology, Fujian Provincial Key Laboratory of Hematology, The Affiliated Union Hospital of Fujian Medical University, 29 Xinquan Road, Fuzhou, Fujian 350001, PR China

Abstract

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.

Publisher

Future Medicine Ltd

Subject

Pharmacology,Molecular Medicine,General Medicine

Link

https://www.futuremedicine.com/doi/pdf/10.2217/pme-2018-0068

Reference46 articles.

1. Cancer statistics, 2018

2. Management of relapsed-refractory diffuse large B cell lymphoma

3. A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments

4. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

5. Quantitative analysis detects ubiquitous expression of apoptotic regulators in B cell non-Hodgkin’s lymphomas

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