Journal ArticleDOI
Genome-wide association study identifies a susceptibility locus for HCV-induced hepatocellular carcinoma
Vinod Kumar,Naoya Kato,Yuji Urabe,Atsushi Takahashi,Ryosuke Muroyama,Naoya Hosono,Motoyuki Otsuka,Ryosuke Tateishi,Masao Omata,Hidewaki Nakagawa,Kazuhiko Koike,Naoyuki Kamatani,Michiaki Kubo,Yusuke Nakamura,Koichi Matsuda +14 more
TLDR
A previously unidentified locus in the 5′ flanking region of MICA on 6p21.33 was found to be strongly associated with HCV-induced HCC and the risk allele of rs2596542 was associated with lower soluble MICA protein levels in individuals withHCV- induced HCC.Abstract:
Koichi Matsuda and colleagues report a genome-wide association study for hepatitis C virus–induced hepatocellular carcinoma. They identify a susceptibility locus at MICA in individuals of Japanese ancestry.read more
Citations
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Journal ArticleDOI
Hepatocellular carcinoma: clinical frontiers and perspectives
TL;DR: While several trials have failed to improve the benefits of established therapies, studies assessing the sequential or combined application of those already known to be beneficial are needed to help explain the failure of prior studies.
Journal ArticleDOI
Genetic Landscape and Biomarkers of Hepatocellular Carcinoma.
Jessica Zucman-Rossi,Augusto Villanueva,Jean-Charles Nault,Jean-Charles Nault,Josep M. Llovet,Josep M. Llovet,Josep M. Llovet +6 more
TL;DR: Data from genomic profiling enabled a proposal of HCC in 2 major molecular clusters (proliferation and non Proliferation), with differential enrichment in prognostic signatures, pathway activation and tumor phenotype, which helps define some of the core deregulated pathways in HCC.
Journal ArticleDOI
Epidemiology of Hepatocellular Carcinoma.
TL;DR: Primary prevention efforts aimed at decreasing the prevalence of obesity and diabetes and controlling mycotoxin growth, are just as urgently required for HCC.
Journal ArticleDOI
Trans-ancestry mutational landscape of hepatocellular carcinoma genomes
Yasushi Totoki,Kenji Tatsuno,Kyle R. Covington,Hiroki R. Ueda,Chad J. Creighton,Mamoru Kato,Shingo Tsuji,Lawrence A. Donehower,Betty L. Slagle,Hiromi Nakamura,Shogo Yamamoto,Eve Shinbrot,Natsuko Hama,Megan Lehmkuhl,Fumie Hosoda,Yasuhito Arai,Kim Walker,Mahmoud Dahdouli,Kengo Gotoh,Genta Nagae,Marie-Claude Gingras,Donna M. Muzny,Hidenori Ojima,Kazuaki Shimada,Yutaka Midorikawa,John A. Goss,Ronald T. Cotton,Akimasa Hayashi,Junji Shibahara,Shumpei Ishikawa,Jacfranz J. Guiteau,Mariko Tanaka,Tomoko Urushidate,Shoko Ohashi,Naoko Okada,Harsha Doddapaneni,Min Wang,Yiming Zhu,Huyen Dinh,Takuji Okusaka,Norihiro Kokudo,Tomoo Kosuge,Tadatoshi Takayama,Masashi Fukayama,Richard A. Gibbs,David A. Wheeler,Hiroyuki Aburatani,Tatsuhiro Shibata +47 more
TL;DR: A combination of hotspot TERT promoter mutation, TERT focal amplification and viral genome integration occurs in more than 68% of cases, implicating TERT as a central and ancestry-independent node of hepatocarcinogenesis.
Journal ArticleDOI
Risk factors and prevention of hepatocellular carcinoma in the era of precision medicine
TL;DR: Individual HCC risk prediction is expected to overcome the challenge by enabling personalised chemoprevention, targeting high-risk patients for precision HCC prevention and substantially improving the dismal prognosis of HCC.
References
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Global cancer statistics
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PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
Shaun Purcell,Shaun Purcell,Benjamin M. Neale,Benjamin M. Neale,Kathe Todd-Brown,Lori Thomas,Manuel A. R. Ferreira,David Bender,David Bender,Julian Maller,Julian Maller,Pamela Sklar,Pamela Sklar,Paul I.W. de Bakker,Paul I.W. de Bakker,Mark J. Daly,Mark J. Daly,Pak C. Sham +17 more
TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
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Haploview: analysis and visualization of LD and haplotype maps
TL;DR: Haploview is a software package that provides computation of linkage disequilibrium statistics and population haplotype patterns from primary genotype data in a visually appealing and interactive interface.
Book
Statistical Methods in Cancer Research
TL;DR: Statistical methods in cancer research as mentioned in this paper, Statistical Methods in Cancer Research, Statistical methods in Cancer research, Statistical methods for cancer research, کتابخانه مرکزی دانشگاه علوم پزش
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