0000000000150128

AUTHOR

Evelyn Fessler

showing 3 related works from this author

A multidimensional network approach reveals microRNAs as determinants of the mesenchymal colorectal cancer subtype

2016

Colorectal cancer (CRC) is a heterogeneous disease posing a challenge for accurate classification and treatment of this malignancy. There is no common genetic molecular feature that would allow for the identification of patients at risk for developing recurrences and thus selecting patients who would benefit from more stringent therapies still poses a major clinical challenge. Recently, an international multicenter consortium (CRC Subtyping Consortium) was established aiming at the classification of CRC patients in biologically homogeneous CRC subtypes. Four consensus molecular subtypes (CMSs) were identified, of which the mesenchymal CMS4 presented with worse prognosis signifying the impor…

0301 basic medicineMaleCancer ResearchEpithelial-Mesenchymal TransitionGene regulatory networkComputational biologyBiologymedicine.disease_causeEpigenesis Genetic03 medical and health sciencesMolecular Biology; Cancer Research; GeneticsCell Line TumormicroRNAmedicineGeneticsHumansGene Regulatory NetworksEpigeneticsPromoter Regions GeneticMolecular BiologyRegulation of gene expressionCancerComputational BiologyDNA Methylationmedicine.diseasePrognosisSubtyping3. Good healthGene Expression Regulation NeoplasticMicroRNAs030104 developmental biologyPhenotypeMultigene FamilyDNA methylationCancer researchFemaleOriginal ArticleCarcinogenesisColorectal NeoplasmsTranscriptomeOncogene
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Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models

2018

Colorectal cancer (CRC) is a highly heterogeneous disease both from a molecular and clinical perspective. Several distinct molecular entities, such as microsatellite instability (MSI), have been defined that make up biologically distinct subgroups with their own clinical course. Recent data indicated that CRC can be best segregated into four groups called consensus molecular subtypes (CMS1-4), each of which has a unique biology and gene expression pattern. In order to develop improved, subtype-specific therapies and to gain insight into the molecular wiring and origin of these subtypes, reliable models are needed. This study was designed to determine the heterogeneity and identify the prese…

0301 basic medicineStromal cellColorectal cancerCellMice NudeAntineoplastic AgentsApoptosisComputational biologyBiologyModels BiologicalArticle03 medical and health sciencesMiceStructure-Activity Relationship0302 clinical medicineIn vivomedicineBiomarkers TumorTumor Cells CulturedAnimalsHumansMolecular BiologyCell ProliferationRegulation of gene expressionDose-Response Relationship DrugGene Expression ProfilingMesenchymal stem cellMicrosatellite instabilityCell DifferentiationNeoplasms ExperimentalCell Biologymedicine.diseaseGene expression profilingGene Expression Regulation NeoplasticOxaliplatin030104 developmental biologymedicine.anatomical_structure030220 oncology & carcinogenesisFluorouracilDrug Screening Assays AntitumorColorectal NeoplasmsCell death and differentiation
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Abstract 3193: Development of a colon cancer model system reveals epithelial contribution to poor-prognosis gene signatures

2016

Abstract Background: Recent consensus on molecular classification categorizes colorectal cancer (CRC) into 4 robust subtypes: CMS1 (epithelial-MSI), CMS2 (epithelial-canonical), CMS3 (epithelial-metabolic) and CMS4 (mesenchymal)1. CMS4 is linked to poor cancer prognosis and characterized by mesenchymal and epithelial-to-mesenchymal transition (EMT) gene expression2,3. Recent attempts to deconvolute the transcriptome from CRC tumors have suggested that the mesenchymal gene expression results from a large stromal compartment and is not due to epithelial cells with EMT-like features4,5. This challenges the classic notion that tumor cells activate the EMT program to undergo trans-differentiatio…

Cancer ResearchStromal cellColorectal cancerMesenchymal stem cellCancerBiologymedicine.diseaseBioinformaticsPhenotypeTranscriptomeOncologyGene expressionmedicineCancer researchGeneCancer Research
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