Trans-ancestry mutational landscape of hepatocellular carcinoma genomes.
Yasushi TotokiKenji TatsunoKyle R CovingtonHiroki UedaChad J CreightonMamoru KatoShingo TsujiLawrence A DonehowerBetty L SlagleHiromi NakamuraShogo YamamotoEve ShinbrotNatsuko HamaMegan LehmkuhlFumie HosodaYasuhito AraiKim WalkerMahmoud DahdouliKengo GotohGenta NagaeMarie-Claude GingrasDonna M MuznyHidenori OjimaKazuaki ShimadaYutaka MidorikawaJohn A GossRonald CottonAkimasa HayashiJunji ShibaharaShumpei IshikawaJacfranz GuiteauMariko TanakaTomoko UrushidateShoko OhashiNaoko OkadaHarsha DoddapaneniMin WangYiming ZhuHuyen DinhTakuji OkusakaNorihiro KokudoTomoo KosugeTadatoshi TakayamaMasashi FukayamaRichard A GibbsDavid A WheelerHiroyuki AburataniTatsuhiro ShibataPublished in: Nature genetics (2014)
Diverse epidemiological factors are associated with hepatocellular carcinoma (HCC) prevalence in different populations. However, the global landscape of the genetic changes in HCC genomes underpinning different epidemiological and ancestral backgrounds still remains uncharted. Here a collection of data from 503 liver cancer genomes from different populations uncovered 30 candidate driver genes and 11 core pathway modules. Furthermore, a collaboration of two large-scale cancer genome projects comparatively analyzed the trans-ancestry substitution signatures in 608 liver cancer cases and identified unique mutational signatures that predominantly contribute to Asian cases. This work elucidates previously unexplored ancestry-associated mutational processes in HCC development. 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. Newly identified alterations in genes encoding metabolic enzymes, chromatin remodelers and a high proportion of mTOR pathway activations offer potential therapeutic and diagnostic opportunities.
Keyphrases
- genome wide
- dna methylation
- genome wide association study
- copy number
- gene expression
- transcription factor
- single cell
- risk factors
- papillary thyroid
- sars cov
- lymph node
- big data
- electronic health record
- cell proliferation
- squamous cell carcinoma
- dna damage
- squamous cell
- nucleic acid
- bioinformatics analysis
- lymph node metastasis
- genome wide analysis