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Analysis of latent T-cell epitopes in Epstein-Barr virus isolated from extranodal nasal-type natural killer/T-cell lymphoma in Taiwanese population

  • Chih Chi Chou
  • , Cheng Feng Tsao
  • , Chun Kai Liao
  • , Huey Ling You
  • , Ming Chung Wang
  • , Wan Ting Huang*
  • *此作品的通信作者
  • Chang Gung University
  • Fooyin University Taiwan

研究成果: 期刊稿件文章同行評審

2 引文 斯高帕斯(Scopus)

摘要

Extranodal nasal-type natural killer (NK)/T-cell lymphoma (NKTCL) is an aggressive lymphoma that is prevalent among East Asian and South American populations. Although Epstein-Barr virus (EBV) is commonly detected in NKTCL, there are limited studies that have analyzed the EBV genomic variations in NKTCL. In this study, 8 EBV latent genes were analyzed using targeted gene sequencing in 23 formalin-fixed paraffin-embedded tissues derived from 18 patients with NKTCL. Five cases with paired samples were comparatively analyzed. The consistency of EBV sequencing data between tissue samples was high (96.3%–98.7%), whereas that of variant calling among the tissue samples and plasma samples (74.3%–79.2%) was low. The highest densities of non-synonymous variants were detected in the EBNA3B gene. Among the 74 known T-cell epitopes, 363 non-synonymous variants were identified in 32 (43.2%) epitopes. Additionally, the AVFDRKSDAK (A1S/P and V2F/M/L) and YHLIVDTDSL (I4L and L10R/V/G/H) epitopes were associated with 5 patterns of amino acid changes in EBNA3B and EBNA-2, respectively. The frequency of variation in the human leukocyte antigen (HLA)-restricted epitopes with corresponding HLA types common among Taiwanese population was significantly low (P = 0.011), whereas that in anchor residues was significantly high (P = 0.012). In conclusion, this study demonstrated the genomic diversity of EBV in NKTCL and its correlation with the HLA-restricted epitope variations in Taiwanese population. The findings of this study provide useful insights for the development of novel therapeutic strategies for NKTCL.

原文英語
文章編號104577
期刊Experimental and Molecular Pathology
118
DOIs
出版狀態已出版 - 02 2021

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© 2020 Elsevier Inc.

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