Comprehensive characterization of driver genes in diffuse large B cell lymphoma

Diffuse large B cell lymphoma (DLBCL) is the most common hematological malignancy and is one of the most frequent non-Hodgkin lymphomas. Large-scale genomic studies have defined genetic drivers of DLBCL and their association with functional and clinical outcomes. However, the lymphomagenesis of DLBC...

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Veröffentlicht in:Oncology letters 2020-07, Vol.20 (1), p.382-390
Hauptverfasser: Fan, Zheng, Pei, Renzhi, Sha, Keya, Chen, Lieguang, Wang, Tiantian, Lu, Ying
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Sprache:eng
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Zusammenfassung:Diffuse large B cell lymphoma (DLBCL) is the most common hematological malignancy and is one of the most frequent non-Hodgkin lymphomas. Large-scale genomic studies have defined genetic drivers of DLBCL and their association with functional and clinical outcomes. However, the lymphomagenesis of DLBCL is yet to be fully understood. In the present study, four computational tools OncodriveFM, OncodriveCLUST, integrated Cancer Genome Score and Driver Genes and Pathways were used to detect driver genes and driver pathways involved in DLBCL. The aforementioned tools were also used to perform an integrative investigation of driver genes, including co-expression network, protein-protein interaction, copy number variation and survival analyses. The present study identified 208 driver genes and 31 driver pathways in DLBCL. were the top five frequently mutated genes in DLBCL. and were the 5 hub genes in the blue module that were associated with patient age. and were at the core of the protein-protein interaction network. were the top five frequently deleted driver genes in DLBCL, while were the top five frequently amplified driver genes in DLBCL. High and expression was associated with decreased overall survival rate of patients with DLBCL. High and expression were associated with increased overall survival rate of patients with DLBCL. The present study improves the understanding of the biological processes and pathways involved in lymphomagenesis. The driver genes, and , pave the way for developing prognostic biomarkers and new therapeutic strategies for DLBCL.
ISSN:1792-1074
1792-1082
DOI:10.3892/ol.2020.11552