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Updated: Jan 21, 2026

A Bioinformatics Pipeline for Investigating Molecular Evolution and Gene Expression using RNA-seq
Published on: May 28, 2021
Bioinformatic validation identifies candidate key genes in diffuse large-B cell lymphoma
Qian Huang1, Feifei Liu1, Jianzhen Shen1
1Department 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.
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