Dataset Information

Identification and Characterization of Epstein-Barr Virus Genomes in Lung Carcinoma Biopsy Samples by Next-Generation Sequencing Technology.

ABSTRACT: Epstein-Barr virus (EBV) has been detected in the tumor cells of several cancers, including some cases of lung carcinoma (LC). However, the genomic characteristics and diversity of EBV strains associated with LC are poorly understood. In this study, we sequenced the EBV genomes isolated from four primary LC tumor biopsy samples, designated LC1 to LC4. Comparative analysis demonstrated that LC strains were more closely related to GD1 strain. Compared to GD1 reference genome, a total of 520 variations in all, including 498 substitutions, 12 insertions, and 10 deletions were found. Latent genes were found to harbor the most numbers of nonsynonymous mutations. Phylogenetic analysis showed that all LC strains were closely related to Asian EBV strains, whereas different from African/American strains. LC2 genome was distinct from the other three LC genomes, suggesting at least two parental lineages of EBV among the LC genomes may exist. All LC strains could be classified as China 1 and V-val subtype according to the amino acid sequence of LMP1 and EBNA1, respectively. In conclusion, our results showed the genomic diversity among EBV genomes isolated from LC, which might facilitate to uncover the previously unknown variations of pathogenic significance.

SUBMITTER: Wang S

PROVIDER: S-EPMC4870493 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Identification and Characterization of Epstein-Barr Virus Genomes in Lung Carcinoma Biopsy Samples by Next-Generation Sequencing Technology.

Wang Shanshan S Xiong Hongchao H Yan Shi S Wu Nan N Lu Zheming Z

Scientific reports 20160518

Epstein-Barr virus (EBV) has been detected in the tumor cells of several cancers, including some cases of lung carcinoma (LC). However, the genomic characteristics and diversity of EBV strains associated with LC are poorly understood. In this study, we sequenced the EBV genomes isolated from four primary LC tumor biopsy samples, designated LC1 to LC4. Comparative analysis demonstrated that LC strains were more closely related to GD1 strain. Compared to GD1 reference genome, a total of 520 variat ...[more]

PMID: 27189712

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Project description:Gastric cancer (GC) remains the second tumor caused death threat worldwide, and personalized medicine for GC is far from expectation. Finding novel, recurrently mutated genes through next-generation sequencing (NGS) is a powerful and productive approach. However, previous genomic data for GC are based on surgical resected samples while a large proportion of advanced gastric cancer (AGC) patients have already missed the chance for operation. The aim of this study is to assess frequent genomic alteration in AGC via biopsy samples. Here we performed targeted genomic sequencing of 78 AGC patients' tumor biopsies along with matched lymphocyte samples based on a 118 cancer related gene panel. In total, we observed 301 somatic nonsynonymous genomic alterations in 92 different genes, as well as 37 copy number gain events among 15 different genes (fold change 2-12), and validated the fold changes of ERBB2 copy number gains with IHC and FISH test showed an accuracy of 81.8%. Previously reported driver genes for gastric cancer (TP53, KMT2D, KMT2B, EGFR, PIK3CA, GNAQ, and ARID1A), and several unreported mutations (TGFBR2, RNF213, NF1, NSD1, and LRP2) showed high non-silent mutation prevalence (7.7%-34.6%). When comparing intestinal-type gastric cancer (IGC) with diffuse-type gastric cancer (DGC), TP53 and GNAQ appear to be more frequently mutated in IGC (P=0.028 and P=0.023, respectively), whereas LRP2, BRCA2 and FGFR3 mutations are not observed in IGC, but have 12.8%, 7.7% and 7.7% mutation rates, respectively, in DGC patients. Patients with one or more mutations in adherens junction pathway (CREBBP, EP300, CDH1, CTNNB1, EGFR, MET, TGFBR2 and ERBB2) or TGF-β signaling pathway (CREBBP, EP300, MYST4, KRAS and TGFBR2) showed significantly better overall survival (P=0.007 and P=0.014, respectively), consistent with The Cancer Genome Atlas (TCGA) cohort data. Importantly, 57 (73.1%) patients harbored at least one genomic alteration with potential treatments, making NGS-based drug target screening a viable option for AGC patients. Our study established a comprehensive genomic portrait of AGC, and identified several mutation signatures highly associated with clinical features, survival outcomes, which may be used to design future personalized treatments.

Dataset Information

Identification and Characterization of Epstein-Barr Virus Genomes in Lung Carcinoma Biopsy Samples by Next-Generation Sequencing Technology.

Publications

Identification and Characterization of Epstein-Barr Virus Genomes in Lung Carcinoma Biopsy Samples by Next-Generation Sequencing Technology.

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