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Chromosomal ideogram representing the different gene affected by recurrent non-coding mutations according to LARVA.

Chromosomal ideogram representing the different gene affected by recurrent non-coding mutations according to LARVA.

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Mutations in non-coding DNA regions are increasingly recognized as cancer drivers. These mutations can modify gene expression in cis or by inducing high-order chormatin structure modifications with long-range effects. Previous analysis reported the detection of recurrent and functional non-coding DNA mutations in the chronic lymphocytic leukemia (C...

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... relevant inflation in p-value distribution was observed. (Supplementary Fig. 1). These regions were located in 44 different genomic loci (Fig. 1). ...
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... enriched in mutations. LARVA detected significant mutation enrichments (q-value < 0.05) in 120 TFBS, 16 DHS regions, 10 enhancers, 4 promoters, 2 5′UTRs and 1 lincRNA (Table 1, Supplementary Tables 1-6). No relevant inflation in p-value distribution was observed. (Supplementary Fig. 1). These regions were located in 44 different genomic loci (Fig. 1). The most recurrently mutated promoters were those of TCL1A (q-value 3.32 × 10 −4 ), LCN6 (q-value 4.17 × 10 −3 ), ZFP36L1 (q-value 3.25 × 10 −2 ) and WDR97 (q-value 0.04); and the most significantly mutated enhancers were GH01J229147 (intergenic region chr1:229283343-229284982, q-value 5.79 × 10 −6 ) and GH07J000467 (PDGFA gene, ...
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... significant enhancer regions were located in the proximity of genes involved in apoptosis (BCL2 and BIRC3), cell cycle control (WBP2NL), cytoskeleton and extracellular matrix formation (ARPC3 and ITIH5), gene expression regulation and chromatin remodelling (BCL7A, PAX5 and PHF2), genome integrity (XRCC5 and ZNF506), gene expression regulation (MALAT1 and RBFOX3), intracellular signalling (DACT2, HIPK2, IMPA2, KCTD10, ROR2 and S1PR2), immune pathways (BACH2, LTB and MADCAM1) and metabolism (AKR1B15, AMPD3, GSTM1/GSTM2, LRP5 and ST6GAL1) ( Supplementary Tables 1-6). Recurrent mutations were also found near less well-characterized genes such as TMEM54 and CTBP2P5, as well as within intergenic regions such chr14:26068671-26069217 and chr1:229283491-229285693. ...

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... Many B cell tumors also showed evidence of ectopic AID-induced somatic hypermutation [156][157][158][159]. Many of the hypermutated regions do not encode proteins but include altered regulatory sites that stimulate expression of putative oncogenic loci in DLBCL tumors [160,161]. It was known from work on immunoglobulin SHM that AID activity was targeted specifically to V region exons in the producing cells by special "diversity activation" (DIVAC) enhancer elements at each IG locus [162]. ...
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Simple Summary Cancer genomes can undergo major restructurings involving many chromosomal locations at key stages in tumor development. This restructuring process has been designated “genome chaos” by some authors. In order to examine how chaotic cancer genome restructuring may be, the cell and molecular processes for DNA restructuring are reviewed. Examination of the action of these processes in various cancers reveals a degree of specificity that indicates genome restructuring may be sufficiently reproducible to enable possible therapies that interrupt tumor progression to more lethal forms. Abstract Cancer genomes evolve in a punctuated manner during tumor evolution. Abrupt genome restructuring at key steps in this evolution has been called “genome chaos.” To answer whether widespread genome change is truly chaotic, this review (i) summarizes the limited number of cell and molecular systems that execute genome restructuring, (ii) describes the characteristic signatures of DNA changes that result from activity of those systems, and (iii) examines two cases where genome restructuring is determined to a significant degree by cell type or viral infection. The conclusion is that many restructured cancer genomes display sufficiently unchaotic signatures to identify the cellular systems responsible for major oncogenic transitions, thereby identifying possible targets for therapies to inhibit tumor progression to greater aggressiveness.
... 30 The Agilent SureSelect QXT Target Enrichment system for Illumina Multiplexed Sequencing (Agilent Tech-nologies, Santa Clara, CA) was used to produce libraries of exonic regions from 54 genes CLL-related as well as from BCL2, IGLL5 and NOTCH1 UTR regions (Supplementary Methods). Genes included in the custom-designed panel 31,32 are involved in CLL pathogenesis and the UTR regions were considered due to the previous identification of IGLL5, BCL2 and NOTCH1 UTRs somatic mutations in CLL 8,33,34 (Supplementary Table S2). Paired-end sequencing (151-bp reads) was run on the Illumina NextSeq instrument (Illumina, San Diego, CA). ...
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