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. 2022 Jul 5:2022:baac051.
doi: 10.1093/database/baac051.

LBD: a manually curated database of experimentally validated lymphoma biomarkers

Bin Tan  1 , Saige Xin  1 , Yanshi Hu  1 , Cong Feng  1 , Ming Chen  1   2   3
Affiliations

LBD: a manually curated database of experimentally validated lymphoma biomarkers

Bin Tan et al. Database (Oxford). .

Abstract

Lymphoma is a heterogeneous disease caused by malignant proliferation of lymphocytes, resulting in significant mortality worldwide. While more and more lymphoma biomarkers have been identified with the advent and development of precision medicine, there are currently no databases dedicated to systematically gathering these scattered treasures. Therefore, we developed a lymphoma biomarker database (LBD) to curate experimentally validated lymphoma biomarkers in this study. LBD consists of 793 biomarkers extracted from 978 articles covering diverse subtypes of lymphomas, including 715 single and 78 combined biomarkers. These biomarkers can be categorized into molecular, cellular, image, histopathological, physiological and other biomarkers with various functions such as prognosis, diagnosis and treatment. As a manually curated database that provides comprehensive information about lymphoma biomarkers, LBD is helpful for personalized diagnosis and treatment of lymphoma. Database URL http://bis.zju.edu.cn/LBD.

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Figures

Figure 1.
Figure 1.
Schematic workflow of LBD construction.
Figure 2.
Figure 2.
An overview of the web interface of LBD. (A) LBD homepage. (B) Browse the page of non-Hodgkin lymphoma biomarkers. (C) Keyword search page. (D) Advanced search page. (E) Detailed page of IL-18.
Figure 3.
Figure 3.
Statistics of lymphoma biomarkers. (A) Biomarker distribution by biomarker types. (B) Biomarker distribution by biomarker applications. (C) Biomarker distribution by sample types. (D) Tendency for the number of articles published in the last 10 years. (E) Top 11 countries with the largest number of articles of lymphoma biomarkers.
Figure 4.
Figure 4.
GO and KEGG enrichment analysis of protein biomarkers in LBD. (A) Enriched GO and KEGG pathways. (B) Protein–protein interaction network components identified by the MCODE algorithm. Nodes represent protein biomarkers in LBD. Edges represent the relationships between different proteins. The size of the node represents the node degree.
See this image and copyright information in PMC

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