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Tan B, Xin S, Hu Y, Feng C, Chen M. LBD: a manually curated database of experimentally validated lymphoma biomarkers. Database (Oxford) 2022; 2022:6631110. [PMID: 35788654 PMCID: PMC9254641 DOI: 10.1093/database/baac051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 05/18/2022] [Accepted: 06/17/2022] [Indexed: 11/29/2022]
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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Affiliation(s)
- Bin Tan
- Department of Bioinformatics, College of Life Sciences, Zhejiang University , Hangzhou 310058, China
| | - Saige Xin
- Department of Bioinformatics, College of Life Sciences, Zhejiang University , Hangzhou 310058, China
| | - Yanshi Hu
- Department of Bioinformatics, College of Life Sciences, Zhejiang University , Hangzhou 310058, China
| | - Cong Feng
- Department of Bioinformatics, College of Life Sciences, Zhejiang University , Hangzhou 310058, China
| | - Ming Chen
- Department of Bioinformatics, College of Life Sciences, Zhejiang University , Hangzhou 310058, China
- Biomedical Big Data Center, the First Affiliated Hospital, Zhejiang University School of Medicine , Hangzhou 310003, China
- Institute of Hematology, Zhejiang University , Hangzhou 310058, China
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Feng X, Lu H, Yue J, Schneider N, Liu J, Denzin LK, Chan CS, De S, Shen Z. Loss of Setd4 delays radiation-induced thymic lymphoma in mice. DNA Repair (Amst) 2019; 86:102754. [PMID: 31794893 DOI: 10.1016/j.dnarep.2019.102754] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Revised: 11/19/2019] [Accepted: 11/19/2019] [Indexed: 12/26/2022]
Abstract
Radiation-induced lymphomagenesis results from a clonogenic lymphoid cell proliferation due to genetic alterations and immunological dysregulation. Mouse models had been successfully used to identify risk and protective factors for radiation-induced DNA damage and carcinogenesis. The mammalian SETD4 is a poorly understood putative methyl-transferase. Here, we report that conditional Setd4 deletion in adult mice significantly extended the survival of radiation-induced T-lymphoma. However, in Tp53 deficient mice, Setd4 deletion did not delay the radiation-induced lymphomagenesis although it accelerated the spontaneous T-lymphomagenesis in non-irradiated mice. The T-lymphomas were largely clonogenic in both Setd4flox/flox and Setd4Δ/Δ mice based on sequencing analysis of the T-cell antigen β receptors. However, the Setd4Δ/Δ T-lymphomas were CD4+/CD8+ double positive, while the littermate Setd4flox/floxtumor were largely CD8+ single positive. A genomic sequencing analysis on chromosome deletion, inversion, duplication, and translocation, revealed a larger contribution of inversion but a less contribution of deletion to the overall chromosome rearrangements in the in Setd4Δ/Δ tumors than the Setd4flox/flox tumors. In addition, the Setd4flox/flox mice died more often from the large sizes of primary thymus lymphoma at earlier time, but there was a slight increase of lymphoma dissemination among peripheral organs in Setd4Δ/Δ at later times. These results suggest that Setd4 has a critical role in modulating lymphomagenesis and may be targeted to suppress radiation-induced carcinogenesis.
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Affiliation(s)
- Xing Feng
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, 195 Little Albany Street, New Brunswick, NJ 08903, USA
| | - Huimei Lu
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, 195 Little Albany Street, New Brunswick, NJ 08903, USA
| | - Jingyin Yue
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, 195 Little Albany Street, New Brunswick, NJ 08903, USA
| | - Neta Schneider
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, 195 Little Albany Street, New Brunswick, NJ 08903, USA
| | - Jingmei Liu
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, 195 Little Albany Street, New Brunswick, NJ 08903, USA
| | - Lisa K Denzin
- Child Health Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA
| | - Chang S Chan
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers the State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Subhajyoti De
- Center for Systems and Computational Biology, Rutgers Cancer Institute of New Jersey, Rutgers the State University of New Jersey, New Brunswick, NJ 08901, USA
| | - Zhiyuan Shen
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, Rutgers Robert Wood Johnson Medical School, 195 Little Albany Street, New Brunswick, NJ 08903, USA.
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Elenitoba-Johnson KSJ, Lim MS. New Insights into Lymphoma Pathogenesis. ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE 2017; 13:193-217. [PMID: 29140757 DOI: 10.1146/annurev-pathol-020117-043803] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Lymphomas represent clonal proliferations of lymphocytes that are broadly classified based upon their maturity (peripheral or mature versus precursor) and lineage (B cell, T cell, and natural killer cell). Insights into the pathogenetic mechanisms involved in lymphoma impact the classification of lymphoma and have significant implications for the diagnosis and clinical management of patients. Serial scientific and technologic advances over the last 30 years in immunology, cytogenetics, molecular biology, gene expression profiling, mass spectrometry-based proteomics, and, more recently, next-generation sequencing have contributed to greatly enhance our understanding of the pathogenetic mechanisms in lymphoma. Novel and emerging concepts that challenge our previously accepted paradigms about lymphoma biology and how these impact diagnosis, molecular testing, disease monitoring, drug development, and personalized and precision medicine for lymphoma are discussed.
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Affiliation(s)
- Kojo S J Elenitoba-Johnson
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA; , .,Center for Personalized Diagnostics and Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
| | - Megan S Lim
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA; , .,Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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