Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer

565Citations
Citations of this article
613Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Liver cancer, which is most often associated with virus infection, is prevalent worldwide, and its underlying etiology and genomic structure are heterogeneous. Here we provide a whole-genome landscape of somatic alterations in 300 liver cancers from Japanese individuals. Our comprehensive analysis identified point mutations, structural variations (STVs), and virus integrations, in noncoding and coding regions. We discovered mutational signatures related to liver carcinogenesis and recurrently mutated coding and noncoding regions, such as long intergenic noncoding RNA genes (NEAT1 and MALAT1), promoters, CTCF-binding sites, and regulatory regions. STV analysis found a significant association with replication timing and identified known (CDKN2A, CCND1, APC, and TERT) and new (ASH1L, NCOR1, and MACROD2) cancer-related genes that were recurrently affected by STVs, leading to altered expression. These results emphasize the value of whole-genome sequencing analysis in discovering cancer driver mutations and understanding comprehensive molecular profiles of liver cancer, especially with regard to STVs and noncoding mutations.

References Powered by Scopus

edgeR: A Bioconductor package for differential expression analysis of digital gene expression data

28518Citations
N/AReaders
Get full text

An integrated encyclopedia of DNA elements in the human genome

12925Citations
N/AReaders
Get full text

Bioinformatics enrichment tools: Paths toward the comprehensive functional analysis of large gene lists

11392Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Pan-cancer analysis of whole genomes

1868Citations
N/AReaders
Get full text

Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma

1592Citations
N/AReaders
Get full text

Liver Cancer Cell of Origin, Molecular Class, and Effects on Patient Prognosis

921Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Fujimoto, A., Furuta, M., Totoki, Y., Tsunoda, T., Kato, M., Shiraishi, Y., … Nakagawa, H. (2016). Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer. Nature Genetics, 48(5), 500–509. https://doi.org/10.1038/ng.3547

Readers over time

‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2504590135180

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 238

54%

Researcher 147

34%

Professor / Associate Prof. 43

10%

Lecturer / Post doc 9

2%

Readers' Discipline

Tooltip

Biochemistry, Genetics and Molecular Bi... 190

44%

Agricultural and Biological Sciences 144

33%

Medicine and Dentistry 81

19%

Computer Science 20

5%

Article Metrics

Tooltip
Mentions
News Mentions: 2
Social Media
Shares, Likes & Comments: 49

Save time finding and organizing research with Mendeley

Sign up for free
0