The aim of the present study was to explore the differentially expressed genes in the blood vessel endothelial cells (BVECs) between diffuse large B-cell lymphoma (DLBCL) and reac-tive lymph node hyperplasia (RLNH), and to perform an initial bioinformatics analysis on a novel gene, C20orf14, which is highly expressed in lymph node of lymphoma. The mRNA of the tissue from the BVECs of DLBCL and RLNH tissues was labeled with biotin respectively and hybridized with expression profile microarray, and the differentially expressed genes were obtained. Initial bio-informatics analysis was performed on a novel gene named C20orf14. Its gene structure, genomic lo-calization, the physical and chemical characteristics of the putative protein, subcellular localization, functional domain etc. were predicted, and the systematic evolution analysis was performed on the similar proteins among several species. By using expression profile microarray, many differentially expressed genes were uncovered. The efficient bioinformatics analysis have fundamentally identified that C20orf14 was a nuclear protein, and may be involved in the post-transcription modification of mRNA. Therefore, microarray is an efficient and high throughout strategy for the detection of differ-entially expressed genes, and C20orf14 is thought to be a potential target for tumor metastasis re-searches by bioinformatics analysis. The aim of the present study was to explore the differentially expressed genes in the blood vessel endothelial cells (BVECs) between diffuse large B-cell lymphoma (DLBCL) and reac-tive lymph node hyperplasia (RLNH), and to perform an initial bioinformatics analysis on a novel gene, C20orf14, which is highly expressed in lymph node of lymphoma. The mRNA of the tissue from the BVECs of DLBCL and RLNH tissues was labeled with biotin respectively and hybridized with expression profile microarray, and the differentially expressed genes were obtained. Initial bio-informatics analysis was performed on a novel gene named C20orf14. Its gene structure, genomic lo-calization, the physical and chemical characteristics of the putative protein, subcellular localization, functional domain etc. were predicted, and the systematic evolution analysis was performed on the similar proteins among several species. By using expression profile microarray, many differentially expressed genes were uncovered efficient bioinformatics analysis have fundamentally identified that C20orf14 was a nuclear protein, and may be involved in the post-transcription modification of mRNA. Thus, microarray is an efficient and high throughout strategy for the detection of differ- entially represented genes, and C20orf14 is thought to be a potential target for tumor metastasis re-searches by bioinformatics analysis.