0000000000281192

AUTHOR

Eevi Kaasinen

0000-0002-1333-8049

showing 5 related works from this author

WNT2 activation through proximal germline deletion predisposes to small intestinal neuroendocrine tumors and intestinal adenocarcinomas

2021

Abstract Many hereditary cancer syndromes are associated with an increased risk of small and large intestinal adenocarcinomas. However, conditions bearing a high risk to both adenocarcinomas and neuroendocrine tumors are yet to be described. We studied a family with 16 individuals in four generations affected by a wide spectrum of intestinal tumors, including hyperplastic polyps, adenomas, small intestinal neuroendocrine tumors, and colorectal and small intestinal adenocarcinomas. To assess the genetic susceptibility and understand the novel phenotype, we utilized multiple molecular methods, including whole genome sequencing, RNA sequencing, single cell sequencing, RNA in situ hybridization…

AdenomaAcademicSubjects/SCI01140DOMAINSadenokarsinoomaCANCER-RISKIn situ hybridizationsuolistosyövätAdenocarcinomaBiologyNeuroendocrine tumorsGermlineWnt2 Proteinperinnöllinen alttius03 medical and health sciences0302 clinical medicineWNT2GeneticsGenetic predispositionmedicineHumansIntestinal MucosaMUTATIONMolecular BiologyGenetics (clinical)030304 developmental biologypaksusuolisyöpäCARCINOID-TUMORS0303 health sciencesperinnölliset tauditCYSTIC-FIBROSISGeneral MedicineNATIONWIDEmedicine.diseaseIntestinal epithelium3. Good healthGENOMENeuroendocrine TumorsHyperplastic PolypSingle cell sequencing3121 General medicine internal medicine and other clinical medicine030220 oncology & carcinogenesisMAPCancer researchsyöpätaudit3111 BiomedicineGeneral Articlegeneettiset tekijätColorectal Neoplasms
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Retrotransposon insertions can initiate colorectal cancer and are associated with poor survival

2019

Genomic instability pathways in colorectal cancer (CRC) have been extensively studied, but the role of retrotransposition in colorectal carcinogenesis remains poorly understood. Although retrotransposons are usually repressed, they become active in several human cancers, in particular those of the gastrointestinal tract. Here we characterize retrotransposon insertions in 202 colorectal tumor whole genomes and investigate their associations with molecular and clinical characteristics. We find highly variable retrotransposon activity among tumors and identify recurrent insertions in 15 known cancer genes. In approximately 1% of the cases we identify insertions in APC, likely to be tumor-initi…

0301 basic medicineMaleGenome instabilityMICROSATELLITE INSTABILITYHYPOMETHYLATIONCarcinogenesisColorectal cancergenetic processestransposonitGeneral Physics and AstronomyRetrotransposon02 engineering and technologyKaplan-Meier EstimateGenome0302 clinical medicineCancer genomicslcsh:ScienceGenetics0303 health sciencesGastrointestinal tractMultidisciplinaryQISLAND METHYLATOR PHENOTYPEGastroenterologyfood and beveragesgenomiikkaMiddle Aged021001 nanoscience & nanotechnology3. Good healthGene Expression Regulation NeoplasticCpG sitesyöpägeenit030220 oncology & carcinogenesisDNA methylationAllelic ImbalanceWHOLE-GENOMEFemaleSVA ELEMENTS0210 nano-technologyColorectal NeoplasmsScience3122 Cancersinformation scienceGenomicssuolistosyövätBiologyGeneral Biochemistry Genetics and Molecular BiologyArticleGenomic Instability03 medical and health sciencesCell Line TumormedicineHumansAged030304 developmental biologySOMATIC L1 RETROTRANSPOSITIONCpG Island Methylator PhenotypeGene Expression ProfilingfungiMicrosatellite instabilityGeneral ChemistryDNA Methylationmedicine.diseaseGENEMutagenesis Insertional030104 developmental biologyLong Interspersed Nucleotide ElementsCPGhealth occupationsCancer researchlcsh:QCpG Islands3111 BiomedicineCaco-2 Cells
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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. 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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