0000000000985109

AUTHOR

Heli Rauanheimo

showing 3 related works from this author

Contribution of allelic imbalance to colorectal cancer

2018

Point mutations in cancer have been extensively studied but chromosomal gains and losses have been more challenging to interpret due to their unspecific nature. Here we examine high-resolution allelic imbalance (AI) landscape in 1699 colorectal cancers, 256 of which have been whole-genome sequenced (WGSed). The imbalances pinpoint 38 genes as plausible AI targets based on previous knowledge. Unbiased CRISPR-Cas9 knockout and activation screens identified in total 79 genes within AI peaks regulating cell growth. Genetic and functional data implicate loss of TP53 as a sufficient driver of AI. The WGS highlights an influence of copy number aberrations on the rate of detected somatic point muta…

0301 basic medicineDenmarkLoss of HeterozygosityGeneral Physics and AstronomyAllelic ImbalanceLoss of heterozygosityGenotypeddc:576.5RNA Small Interferinglcsh:ScienceRNA Small Interfering/geneticsGeneticsMultidisciplinaryQGenomicsPhenotype3. Good healthGENOMEPhenotypesyöpägeenitAllelic ImbalanceTumor Suppressor Protein p53/geneticsColorectal NeoplasmsChromosomes Human Pair 8GENESDNA Copy Number VariationsGenotypeScienceTranscription Factors/geneticsGenomicscolorectal cancerBiologyArticleGeneral Biochemistry Genetics and Molecular BiologyProto-Oncogene Proteins p21(ras)Proto-Oncogene Proteins p21(ras)/genetics03 medical and health sciencesmedicineHumansPoint MutationGenetic Predisposition to DiseaseGenepaksusuolisyöpäChromosome AberrationsWhole Genome SequencingHUMAN-COLONGene Expression ProfilingPoint mutationCancerGeneral Chemistrymedicine.diseaseColorectal Neoplasms/geneticsENHANCERS030104 developmental biologyCELLSlcsh:Q3111 BiomedicineTumor Suppressor Protein p53CRISPR-Cas SystemsmutaatiotTranscription FactorsMicrosatellite Repeats
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Comprehensive evaluation of coding region point mutations in microsatellite-unstable colorectal cancer

2018

Microsatellite instability (MSI) leads to accumulation of an excessive number of mutations in the genome, mostly small insertions and deletions. MSI colorectal cancers (CRCs), however, also contain more point mutations than microsatellite-stable (MSS) tumors, yet they have not been as comprehensively studied. To identify candidate driver genes affected by point mutations in MSI CRC, we ranked genes based on mutation significance while correcting for replication timing and gene expression utilizing an algorithm, MutSigCV. Somatic point mutation data from the exome kit-targeted area from 24 exome-sequenced sporadic MSI CRCs and respective normals, and 12 whole-genome-sequenced sporadic MSI CR…

0301 basic medicineMedicine (General)Candidate geneclinical evaluationgenetic identificationgenetic analysisQH426-470medicine.disease_causeChromatin Epigenetics Genomics & Functional Genomicswhole exome sequencingddc:590mutator genesingle nucleotide polymorphismddc:576.5Gene Regulatory NetworksExomeExome sequencingCancercancer cellGeneticsMutation1184 Genetics developmental biology physiology3. Good healthgenetic codesyöpägeenitpriority journalMolecular Medicinewild typepoint mutationSystems MedicineColorectal Neoplasmscongenital hereditary and neonatal diseases and abnormalitiesddc:025.063/5703122 Cancerscancer geneticsSingle-nucleotide polymorphismcolorectal cancerBiologygene frequencyta3111mikrosatelliititcolony formationR105W geneArticle03 medical and health sciencesR5-920Gene interactionReportGeneticsmedicineHumanscontrolled studyhumanneoplasmspaksusuolisyöpäPoint mutationgene interactionhuman celltumor-related geneMicrosatellite instabilityMolecular Sequence AnnotationSequence Analysis DNAmedicine.diseaseta3122digestive system diseaseshuman tissueSTK38L gene030104 developmental biologyvalidation processgene expressionSMARCB1 genemicrosatellite instability3111 Biomedicinegene replicationReports
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Contribution Of Allelic Imbalance To Colorectal Cancer

2018

Point mutations in cancer have been extensively studied but chromosomal gains and losses have been more challenging to interpret due to their unspecific nature. Here we examine high-resolution allelic imbalance (AI) landscape in 1699 colorectal cancers, 256 of which have been whole genome sequenced (WGSed). The imbalances pinpoint 38 genes as plausible AI targets based on previous knowledge, and unbiased CRISPR-Cas9 knockout and activation screens identified altogether 79 genes within AI peaks regulating cell growth. Genetic and functional data implicates loss of TP53 as a sufficient driver of AI. The WGS highlights an influence of copy number aberrations on the rate of detected somatic poi…

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