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pmid:26697315

Genomic and transcriptome profiling identified both human and HBV genetic variations and their interactions in Chinese hepatocellular carcinoma.

Hua Dong · Ziliang Qian · Lan Zhang · Yunqin Chen · Zhenggang Ren · Qunsheng Ji

Genomics data · 2015 doi:10.1016/j.gdata.2015.07.018

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

absent

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title
Genomic and transcriptome profiling identified both human and HBV genetic variations and their interactions in Chinese hepatocellular carcinoma.
doi
10.1016/j.gdata.2015.07.018
pmid
26697315
authors array · 6 items
[0]
Hua Dong
[1]
Ziliang Qian
[2]
Lan Zhang
[3]
Yunqin Chen
[4]
Zhenggang Ren
[5]
Qunsheng Ji
journal
Genomics data
year
2015
abstract
Interaction between HBV and host genome integrations in hepatocellular carcinoma (HCC) development is a complex process and the mechanism is still unclear. Here we described in details the quality controls and data mining of aCGH and transcriptome sequencing data on 50 HCC samples from the Chinese patients, published by Dong et al. (2015) (GEO#: GSE65486). In additional to the HBV-MLL4 integration discovered, we also investigated the genetic aberrations of HBV and host genes as well as their genetic interactions. We reported human genome copy number changes and frequent transcriptome variations (e.g. TP53, CTNNB1 mutation, especially MLL family mutations) in this cohort of the patients. For HBV genotype C, we identified a novel linkage disequilibrium region covering HBV replication regulatory elements, including basal core promoter, DR1, epsilon and poly-A regions, which is associated with HBV core antigen over-expression and almost exclusive to HBV-MLL4 integration.
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To further understand HCC patients infected with the mutated HBV, HBV linkage disequilibrium was investigated in the 34 HCC patients who had HBV genotype C.
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sections[7] "HBV genotype C variations and their linkage disequilibrium in HCC patients" paragraph 4
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To further understand HCC patients infected with the mutated HBV, HBV linkage disequilibrium was investigated in the 34 HCC patients who had HBV genotype C.
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aCGH profiling data have been deposited to the GEO database and can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65484. RNASeq profiling data have been deposited to the GEO database and can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65485. Superseries accession GSE65486 links the CGH and RNA-Seq studies together: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65486.
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aCGH profiling data have been deposited to the GEO database and can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65484. RNASeq profiling data have been deposited to the GEO database and can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65485. Superseries accession GSE65486 links the CGH and RNA-Seq studies together: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65486.
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The study identified a novel linkage-disequilibrium region in HBV genotype C associated with core-antigen overexpression, using proportion and Fisher’s exact tests, with source data accessed through GEO accession GSE65486.
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Specifically, only 14% (1/7) of HBx A1762T/G1764A mutants were found in the MLL4 fusion positive HCC compared to 50% (13/26) of that identified in MLL4 wild-type HCC (Fisher exact test, p = 0.195, odds ratio = 0.17).
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For HBV genotype C, we identified a novel linkage disequilibrium region covering HBV replication regulatory elements, including basal core promoter, DR1, epsilon and poly-A regions, which is associated with HBV core antigen over-expression and almost exclusive to HBV-MLL4 integration.
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sections[8] "Exclusivity between HBV-MLL4 gene integration and HBV regulatory region mutations" paragraph 2
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Specifically, only 14% (1/7) of HBx A1762T/G1764A mutants were found in the MLL4 fusion positive HCC compared to 50% (13/26) of that identified in MLL4 wild-type HCC (Fisher exact test, p = 0.195, odds ratio = 0.17).
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aCGH profiling data have been deposited to the GEO database and can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65484.
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RNASeq profiling data have been deposited to the GEO database and can be found here: http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE65485.
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aCGH profiling for Frozen tumour samples of 50 Hepatocellular Carcinoma patients and 14 Adjacent normal samples
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Next Generation Sequencing Identification of HBV-MLL4 integration and its molecular basis in Chinese hepatocellular carcinoma
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To further understand HCC patients infected with the mutated HBV, HBV linkage disequilibrium was investigated in the 34 HCC patients who had HBV genotype C.
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Complete file
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Here we described in details the quality controls and data mining of aCGH and transcriptome sequencing data on 50 HCC samples from the Chinese patients, published by Dong et al. (2015) (GEO#: GSE65486). In additional to the HBV-MLL4 integration discovered, we also investigated the genetic aberrations of HBV and host genes as well as their genetic interactions. We reported human genome copy number changes and frequent transcriptome variations (e.g. TP53, CTNNB1 mutation, especially MLL family mutations) in this cohort of the patients. For HBV genotype C, we identified a novel linkage disequilibrium region covering HBV replication regulatory elements, including basal core promoter, DR1, epsilon and poly-A regions, which is associated with HBV core antigen over-expression and almost exclusive to HBV-MLL4 integration.", "claims": [{"id": "claim-method", "statement": "To further understand HCC patients infected with the mutated HBV, HBV linkage disequilibrium was investigated in the 34 HCC patients who had HBV genotype C.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:26697315", "locator": "sections[7] \"HBV genotype C variations and their linkage disequilibrium in HCC patients\" paragraph 4", "quote": "To further understand HCC patients infected with the mutated HBV, HBV linkage disequilibrium was investigated in the 34 HCC patients who had HBV genotype C."}], "state": "complete"}, {"id": "claim-data-access", "statement": "aCGH profiling data have been deposited to the GEO database and 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