Dataset Information

Deciphering the Spectrum of Mitochondrial DNA Mutations in Hepatocellular Carcinoma Using High-Throughput Sequencing.

ABSTRACT: Accumulation of mitochondrial DNA (mtDNA) mutations has been proposed to contribute to the initiation and progression of tumors. By using high-throughput sequencing strategies, we measured 33 specimens including 11 hepatocellular carcinoma (HCC) tissues, 11 corresponding adjacent tissues, and 11 normal liver tissues. We identified 194 single nucleotide variants (SNVs; including insert and deletion) in 33 liver tissues, and 13 somatic novel mutations were detected, including 7 mutations in the coding region. One of the seven somatic mutations (T7609C, 91.09%) is synonymous, which does not change amino acid coding; the other four somatic mutations (T6115C, 65.74%; G8387A, 12.23%; G13121A, 93.08%; and T14180C, 28.22%) could result in amino acid substitutions, potentially leading to mitochondrial dysfunction. Furthermore, two mutations in tRNA might influence amino acid transportation. Consistent with a previous study, we also found that mtDNA copy number was significantly reduced in HCC tissues. Therefore, we established a mitochondrial genome depletion cell line ?0 and revealed that mtDNA loss reduced proliferation and migration in HCC cells but promoted their resistance to 5-fluorouracil. Our results suggested that somatic mtDNA mutations may cause mitochondrial dysfunction and affect chemoresistance of HCC cells. These new identified somatic mutations may serve as a reference for future studies of cancer mitochondrial genomes.

SUBMITTER: Yu C

PROVIDER: S-EPMC5954625 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Deciphering the Spectrum of Mitochondrial DNA Mutations in Hepatocellular Carcinoma Using High-Throughput Sequencing.

Yu Chang C Wang Xuefeng X Huang Lifeng L Tong Ying Y Chen Lili L Wu Hailong H Xia Qiang Q Kong Xiaoni X

Gene expression 20180220 2

Accumulation of mitochondrial DNA (mtDNA) mutations has been proposed to contribute to the initiation and progression of tumors. By using high-throughput sequencing strategies, we measured 33 specimens including 11 hepatocellular carcinoma (HCC) tissues, 11 corresponding adjacent tissues, and 11 normal liver tissues. We identified 194 single nucleotide variants (SNVs; including insert and deletion) in 33 liver tissues, and 13 somatic novel mutations were detected, including 7 mutations in the co ...[more]

PMID: 29463347

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Project description:Diagnosis of monogenic as well as atypical forms of diabetes mellitus has important clinical implications for their specific diagnosis, prognosis, and targeted treatment. Single gene mutations that affect beta-cell function represent 1-2% of all cases of diabetes. However, phenotypic heterogeneity and lack of family history of diabetes can limit the diagnosis of monogenic forms of diabetes. Next-generation sequencing technologies provide an excellent opportunity to screen large numbers of individuals with a diagnosis of diabetes for mutations in disease-associated genes.We utilized a targeted sequencing approach using the Illumina HiSeq to perform a case-control sequencing study of 22 monogenic diabetes genes in 4016 individuals with type 2 diabetes (including 1346 individuals diagnosed before the age of 40 years) and 2872 controls. We analyzed protein-coding variants identified from the sequence data and compared the frequencies of pathogenic variants (protein-truncating variants and missense variants) between the cases and controls.A total of 40 individuals with diabetes (1.8% of early onset sub-group and 0.6% of adult onset sub-group) were carriers of known pathogenic missense variants in the GCK, HNF1A, HNF4A, ABCC8, and INS genes. In addition, heterozygous protein truncating mutations were detected in the GCK, HNF1A, and HNF1B genes in seven individuals with diabetes. Rare missense mutations in the GCK gene were significantly over-represented in individuals with diabetes (0.5% carrier frequency) compared to controls (0.035%). One individual with early onset diabetes was homozygous for a rare pathogenic missense variant in the WFS1 gene but did not have the additional phenotypes associated with Wolfram syndrome.Targeted sequencing of genes linked with monogenic diabetes can identify disease-relevant mutations in individuals diagnosed with type 2 diabetes not suspected of having monogenic forms of the disease. Our data suggests that GCK-MODY frequently masquerades as classical type 2 diabetes. The results confirm that MODY is under-diagnosed, particularly in individuals presenting with early onset diabetes and clinically labeled as type 2 diabetes; thus, sequencing of all monogenic diabetes genes should be routinely considered in such individuals. Genetic information can provide a specific diagnosis, inform disease prognosis and may help to better stratify treatment plans.

Project description:Background:Hepatocellular carcinoma (HCC) includes cryptogenic hepatocellular carcinomas (CR-HCC) that lack a defined cause. Specific DNA methylation patterns and comparisons of the aberrant alterations in DNA methylation between CR-HCC and adjacent peritumor tissues (APTs) have not yet been reported. Methods:The SureSelectXT Methyl-Seq Target Enrichment System was used to sequence targeted DNA methylation in three paired CR-HCC tissues and APTs. Gene Ontology (GO) enrichment and KEGG pathway analysis were performed to investigate the DNA methylation mechanism of CR-HCC. The mRNA expression levels of HOXB-AS3, HOXB6, HOXB3, USP18, MAP3K6, TIRAP, TNNI2, SHC3, CTTN, and TFAP2A, selected from the identified signaling pathways, were evaluated by quantitative real-time PCR (qPCR). Results:A total of 1728 differentially methylated regions (DMRs) were identified in tumor tissues compared with non-tumor tissues, of which 868 DMRs were hypermethylated and 860 were hypomethylated. The DMRs were mapped within 2091 DMR-associated genes (DMGs). The mRNA expression of HOXB-AS3, HOXB3, and MAP3K6 was downregulated in CR-HCC tissues compared to the APTs. However, the mRNA expression of TIRAP, SHC3, and CTTN was upregulated in the CR-HCC tissues. Differences between the mRNA expression of HOXB6, USP18, TNNI2, and TFAP2A in the CR-HCC and APTS tissues were not statistically significant. GO analysis showed that the molecular functions of "binding", "protein binding", and "cytoskeletal protein binding" were the main categories for the hypermethylated DMGs. The hypomethylated DMGs were mostly enriched in the molecular functions "binding", "protein binding", "calcium ion binding", among others. KEGG pathway analysis showed that the hypermethylated DMGs were enriched in several pathways such as "estrogen signaling pathway", while hypomethylated DMGs were enriched in several pathways such as "proteoglycans in cancer", suggesting that epigenetic modifications play important roles in the cryptogenic hepatocarcinogenesis. Conclusion:These results provide useful information for future work to characterize the functions of epigenetic mechanisms on CR-HCC.

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Dataset Information

Deciphering the Spectrum of Mitochondrial DNA Mutations in Hepatocellular Carcinoma Using High-Throughput Sequencing.

Publications

Deciphering the Spectrum of Mitochondrial DNA Mutations in Hepatocellular Carcinoma Using High-Throughput Sequencing.

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