0000000000281174

AUTHOR

Päivi Pihlajamaa

0000-0001-9725-6907

showing 3 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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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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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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