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      Mutational signatures reveal the dynamic interplay of risk factors and cellular processes during liver tumorigenesis

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          Abstract

          Genomic alterations driving tumorigenesis result from the interaction of environmental exposures and endogenous cellular processes. With a diversity of risk factors, liver cancer is an ideal model to study these interactions. Here, we analyze the whole genomes of 44 new and 264 published liver cancers and we identify 10 mutational and 6 structural rearrangement signatures showing distinct relationships with environmental exposures, replication, transcription, and driver genes. The liver cancer-specific signature 16, associated with alcohol, displays a unique feature of transcription-coupled damage and is the main source of CTNNB1 mutations. Flood of insertions/deletions (indels) are identified in very highly expressed hepato-specific genes, likely resulting from replication-transcription collisions. Reconstruction of sub-clonal architecture reveals mutational signature evolution during tumor development exemplified by the vanishing of aflatoxin B1 signature in African migrants. Finally, chromosome duplications occur late and may represent rate-limiting events in tumorigenesis. These findings shed new light on the natural history of liver cancers.

          Abstract

          Tumorigenesis is a complex process driven by numerous risk factors. Here, genomic analysis of liver cancer reveals the evolution of mutational signatures during tumor development, highlighting mutational and structural signatures linked to environmental exposures and endogenous cellular processes.

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          Most cited references20

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          Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma

          (2017)
          Liver cancer has the second highest worldwide cancer mortality rate and has limited therapeutic options. We analyzed 363 hepatocellular carcinoma (HCC) cases by whole exome sequencing and DNA copy number analyses, and 196 HCC also by DNA methylation, RNA, miRNA, and proteomic expression. DNA sequencing and mutation analysis identified significantly mutated genes including LZTR1 , EEF1A1 , SF3B1 , and SMARCA4 . Significant alterations by mutation or down-regulation by hypermethylation in genes likely to result in HCC metabolic reprogramming ( ALB , APOB , and CPS1 ) were observed. Integrative molecular HCC subtyping incorporating unsupervised clustering of five data platforms identified three subtypes, one of which was associated with poorer prognosis in three HCC cohorts. Integrated analyses enabled development of a p53 target gene expression signature correlating with poor survival. Potential therapeutic targets for which inhibitors exist include WNT signaling, MDM4, MET, VEGFA, MCL1, IDH1, TERT, and immune checkpoint proteins CTLA-4, PD-1, and PD-L1. Multiplex molecular profiling of human hepatocellular carcinoma patients provides insight into subtype characteristics and points toward key pathways to target therapeutically.
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            Integrated analysis of somatic mutations and focal copy-number changes identifies key genes and pathways in hepatocellular carcinoma.

            Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. Here, we performed high-resolution copy-number analysis on 125 HCC tumors and whole-exome sequencing on 24 of these tumors. We identified 135 homozygous deletions and 994 somatic mutations of genes with predicted functional consequences. We found new recurrent alterations in four genes (ARID1A, RPS6KA3, NFE2L2 and IRF2) not previously described in HCC. Functional analyses showed tumor suppressor properties for IRF2, whose inactivation, exclusively found in hepatitis B virus (HBV)-related tumors, led to impaired TP53 function. In contrast, inactivation of chromatin remodelers was frequent and predominant in alcohol-related tumors. Moreover, association of mutations in specific genes (RPS6KA3-AXIN1 and NFE2L2-CTNNB1) suggested that Wnt/β-catenin signaling might cooperate in liver carcinogenesis with both oxidative stress metabolism and Ras/mitogen-activated protein kinase (MAPK) pathways. This study provides insight into the somatic mutational landscape in HCC and identifies interactions between mutations in oncogene and tumor suppressor gene mutations related to specific risk factors.
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              Whole-genome mutational landscape and characterization of noncoding and structural mutations in liver cancer.

              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.
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                Author and article information

                Contributors
                eric.letouze@inserm.fr
                jessica.zucman-rossi@inserm.fr
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                3 November 2017
                3 November 2017
                2017
                : 8
                : 1315
                Affiliations
                [1 ]ISNI 0000 0001 2217 0017, GRID grid.7452.4, INSERM, UMR-1162, Génomique Fonctionnelle des Tumeurs Solides, , Equipe Labellisée Ligue Contre le Cancer, Institut Universitaire d’Hématologie, ; Paris, 75010 France
                [2 ]ISNI 0000 0001 2188 0914, GRID grid.10992.33, Université Paris Descartes, Labex Immuno-Oncology, Sorbonne Paris Cité, Faculté de Médecine, ; Paris, 75006 France
                [3 ]ISNI 0000000121496883, GRID grid.11318.3a, Université Paris 13, Sorbonne Paris Cité, Unité de Formation et de Recherche Santé, Médecine, Biologie Humaine, ; Bobigny, 93000 France
                [4 ]ISNI 0000 0001 2217 0017, GRID grid.7452.4, Université Paris Diderot, ; Paris, 75013 France
                [5 ]ISNI 0000 0004 0639 125X, GRID grid.417836.f, Laboratory for Bioinformatics, , Fondation Jean Dausset—CEPH, ; Paris, 75010 France
                [6 ]ISNI 0000 0001 2106 639X, GRID grid.412041.2, Université Bordeaux, Bordeaux Research in Translational Oncology, ; Bordeaux, 33000 France
                [7 ]ISNI 0000 0004 0593 7118, GRID grid.42399.35, Service Hépato-Gastroentérologie et Oncologie Digestive, , Centre Medico-Chirurgical Magellan, Hôpital Haut-Lévêque, Centre Hospitalier Universitaire de Bordeaux, ; Bordeaux, 33000 France
                [8 ]Centre National de Recherche en Génomique Humaine, CEA, Evry, 91000 France
                [9 ]GRID grid.414263.6, Service de Pathologie, , Hôpital Pellegrin, Centre Hospitalier Universitaire de Bordeaux, ; Bordeaux, 33000 France
                [10 ]ISNI 0000 0000 9454 4367, GRID grid.413738.a, AP-HP, Hôpital Antoine-Béclère, Service d’anatomie pathologique, ; Clamart, 92140 France
                [11 ]ISNI 0000 0001 2149 7878, GRID grid.410511.0, Université Paris Est Créteil, ; Créteil, 94010 France
                [12 ]ISNI 0000 0001 2175 4109, GRID grid.50550.35, AP-HP, Groupe Hospitalier Henri Mondor, Département de Chirurgie Hépato-Biliaire et Transplantation Hépatique, ; Créteil, 94010 France
                [13 ]ISNI 0000 0000 8595 4540, GRID grid.411599.1, Service d’Anatomopathologie, Hôpital Beaujon, ; Clichy, 92110 France
                [14 ]GRID grid.414093.b, Assistance Publique-Hôpitaux de Paris, , Hopital Europeen Georges Pompidou, ; Paris, 75015 France
                Author information
                http://orcid.org/0000-0002-6369-2839
                http://orcid.org/0000-0002-9219-0483
                http://orcid.org/0000-0001-8351-7168
                http://orcid.org/0000-0001-8439-6732
                http://orcid.org/0000-0002-5687-0334
                Article
                1358
                10.1038/s41467-017-01358-x
                5670220
                29101368
                032690a8-fe2c-44fe-8818-a9efe4a12933
                © The Author(s) 2017

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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                : 29 May 2017
                : 12 September 2017
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