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Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use
BACKGROUND: Patients diagnosed as diffuse large B cell lymphoma (DLBCL) with CD5 positive normally have a worse outcome and poorly respond to the regulatory treatment strategy. RESULTS: We recently reported differently expressed tRFs and their potential target-genes of tRFs in patients with CD5+ R/R...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882323/ https://www.ncbi.nlm.nih.gov/pubmed/31775867 http://dx.doi.org/10.1186/s13062-019-0255-8 |
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author | Qu, Qingyuan Li, Ying Fang, Xiaosheng Zhang, Lingyan Xue, Chao Ge, Xueling Wang, Xin Jiang, Yujie |
author_facet | Qu, Qingyuan Li, Ying Fang, Xiaosheng Zhang, Lingyan Xue, Chao Ge, Xueling Wang, Xin Jiang, Yujie |
author_sort | Qu, Qingyuan |
collection | PubMed |
description | BACKGROUND: Patients diagnosed as diffuse large B cell lymphoma (DLBCL) with CD5 positive normally have a worse outcome and poorly respond to the regulatory treatment strategy. RESULTS: We recently reported differently expressed tRFs and their potential target-genes of tRFs in patients with CD5+ R/R DLBCL. Differently expressed tRFs were detected by Illumina NextSeq instrument and the results were verified by quantitative real-time reverse transcription-PCR. tRF2Cancer database was searched to compared with the results. Further research was performed through bio-informatic analysis including gene ontology (GO) and pathway enrichment analyses, etc. A total of 308 tRFs were identified. Two sequences (AS-tDR-008946, AS-tDR-013492) were chosen for further investigated. CONCLUSIONS: The results of Bioinformatics analysis revealed that the target genes including NEDD4L and UBA52 and several associated pathways including PI3K/AKT and MAPK/ERK might be involved in the development of CD5+ R/R DLBCL. Our preliminary study on the associated tRFs might provide a valuable measure to explore the pathogenesis and progression of CD5+ R/R DLBCL. REVIEWERS: This article was reviewed by Zhen Qing Ye, Nagarajan Raju and Jin Zhuang Dou. |
format | Online Article Text |
id | pubmed-6882323 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68823232019-12-03 Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use Qu, Qingyuan Li, Ying Fang, Xiaosheng Zhang, Lingyan Xue, Chao Ge, Xueling Wang, Xin Jiang, Yujie Biol Direct Research BACKGROUND: Patients diagnosed as diffuse large B cell lymphoma (DLBCL) with CD5 positive normally have a worse outcome and poorly respond to the regulatory treatment strategy. RESULTS: We recently reported differently expressed tRFs and their potential target-genes of tRFs in patients with CD5+ R/R DLBCL. Differently expressed tRFs were detected by Illumina NextSeq instrument and the results were verified by quantitative real-time reverse transcription-PCR. tRF2Cancer database was searched to compared with the results. Further research was performed through bio-informatic analysis including gene ontology (GO) and pathway enrichment analyses, etc. A total of 308 tRFs were identified. Two sequences (AS-tDR-008946, AS-tDR-013492) were chosen for further investigated. CONCLUSIONS: The results of Bioinformatics analysis revealed that the target genes including NEDD4L and UBA52 and several associated pathways including PI3K/AKT and MAPK/ERK might be involved in the development of CD5+ R/R DLBCL. Our preliminary study on the associated tRFs might provide a valuable measure to explore the pathogenesis and progression of CD5+ R/R DLBCL. REVIEWERS: This article was reviewed by Zhen Qing Ye, Nagarajan Raju and Jin Zhuang Dou. BioMed Central 2019-11-27 /pmc/articles/PMC6882323/ /pubmed/31775867 http://dx.doi.org/10.1186/s13062-019-0255-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Qu, Qingyuan Li, Ying Fang, Xiaosheng Zhang, Lingyan Xue, Chao Ge, Xueling Wang, Xin Jiang, Yujie Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use |
title | Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use |
title_full | Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use |
title_fullStr | Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use |
title_full_unstemmed | Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use |
title_short | Differentially expressed tRFs in CD5 positive relapsed & refractory diffuse large B cell lymphoma and the bioinformatic analysis for their potential clinical use |
title_sort | differentially expressed trfs in cd5 positive relapsed & refractory diffuse large b cell lymphoma and the bioinformatic analysis for their potential clinical use |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6882323/ https://www.ncbi.nlm.nih.gov/pubmed/31775867 http://dx.doi.org/10.1186/s13062-019-0255-8 |
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