Virology JournalCancer BiologyPeer-reviewed journal article
Structural patterns and transcriptional effects of integrated Epstein-Barr virus revealed by long-read sequencing and RNA-sequencing in Nasopharyngeal Carcinoma
Zahra KardaniD, Adway Kadam, Annie Wai Yeeng ChaiiD, Sok Ching CheongiD, Sampath Kumar LoganathaniD
Abstract
Integration of Epstein-Barr virus (EBV) DNA into the human genome is a critical event in nasopharyngeal carcinogenesis. Here, we comprehensively characterize large-scale virus-human integration events in four EBV-positive nasopharyngeal carcinoma (NPC) cell lines and tumors using Nanopore long-read sequencing technology. We identified four distinct integration types, with Type I being particularly notable, characterized by continuous long reads covering nearly the entire EBV genome. Our findings reveal the involvement of multiple integration events in inducing inter-chromosomal translocations, leading to significant genomic disruption through chromosomal rearrangements. Additionally, we explore the relationship between EBV integration sites and structural variations, further supporting the role of EBV integration in driving genomic instability. By integrating RNA-seq data, we demonstrate the potential for EBV integration to disrupt gene expression, highlighting several integration sites within cancer-associated genes such as CD96, ARHGAP27, ASH1L, KDM3B, ZMYM2, and PIK3C2A. Notably, EBV-human fusion events were prevalent in EBV-associated NPCs, including intriguing fusion transcripts such as LRRC8C-RPMS1 and LINC00486-RPMS1, which provide further evidence of the oncogenic potential of EBV integration. Taken together, this study uncovers EBV integration patterns in Nasopharyngeal carcinogenesis using long-read sequencing technology.
- organism: human
- assay: long-read sequencing
- assay: bulk RNA-seq
- research focus: chromatin & epigenetic regulation
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: experimental assay
- approach: statistical model
- Citations
- 1
- FWCI
- 2.94
- Field percentile
- top 15%
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