2022
Glioma progression is shaped by genetic evolution and microenvironment interactions
Varn F, Johnson K, Martinek J, Huse J, Nasrallah M, Wesseling P, Cooper L, Malta T, Wade T, Sabedot T, Brat D, Gould P, Wöehrer A, Aldape K, Ismail A, Sivajothi S, Barthel F, Kim H, Kocakavuk E, Ahmed N, White K, Datta I, Moon H, Pollock S, Goldfarb C, Lee G, Garofano L, Anderson K, Nehar-Belaid D, Barnholtz-Sloan J, Bakas S, Byrne A, D’Angelo F, Gan H, Khasraw M, Migliozzi S, Ormond D, Paek S, Van Meir E, Walenkamp A, Watts C, Weiss T, Weller M, Palucka K, Stead L, Poisson L, Noushmehr H, Iavarone A, Verhaak R, Consortium T, Varn F, Johnson K, Martinek J, Huse J, Nasrallah M, Wesseling P, Cooper L, Malta T, Wade T, Sabedot T, Brat D, Gould P, Wöehrer A, Aldape K, Ismail A, Sivajothi S, Barthel F, Kim H, Kocakavuk E, Ahmed N, White K, Datta I, Moon H, Pollock S, Goldfarb C, Lee G, Garofano L, Anderson K, Nehar-Belaid D, Barnholtz-Sloan J, Bakas S, Byrne A, D’Angelo F, Gan H, Khasraw M, Migliozzi S, Ormond D, Paek S, Van Meir E, Walenkamp A, Watts C, Weiss T, Weller M, Alfaro K, Amin S, Ashley D, Bock C, Brodbelt A, Bulsara K, Castro A, Connelly J, Costello J, de Groot J, Finocchiaro G, French P, Golebiewska A, Hau A, Hong C, Horbinski C, Kannan K, Kouwenhoven M, Lasorella A, LaViolette P, Ligon K, Lowman A, Mehta S, Miletic H, Molinaro A, Ng H, Niclou S, Niers J, Phillips J, Rabadan R, Rao G, Reifenberger G, Sanai N, Short S, Smitt P, Sloan A, Smits M, Snyder J, Suzuki H, Tabatabai G, Tanner G, Tomaszewski W, Wells M, Westerman B, Wheeler H, Xie J, Yung W, Zadeh G, Zhao J, Palucka K, Stead L, Poisson L, Noushmehr H, Iavarone A, Verhaak R. Glioma progression is shaped by genetic evolution and microenvironment interactions. Cell 2022, 185: 2184-2199.e16. PMID: 35649412, PMCID: PMC9189056, DOI: 10.1016/j.cell.2022.04.038.Peer-Reviewed Original ResearchConceptsSpecific ligand-receptor interactionsMicroenvironment interactionsDNA sequencing dataGlioma progressionLigand-receptor interactionsNeoplastic cellsSignaling programsCell statesSequencing dataGenetic evolutionGenetic changesIDH wild-type tumorsIsocitrate dehydrogenaseMesenchymal transitionSomatic alterationsDistinct mannerActive tumor growthIDH-mutant gliomasPotential targetTherapy resistanceAdult patientsDisease progressionPossible roleCellsTumor growthLive-Cell Imaging Shows Uneven Segregation of Extrachromosomal DNA Elements and Transcriptionally Active Extrachromosomal DNA Hubs in Cancer
Yi E, Gujar A, Guthrie M, Kim H, Zhao D, Johnson K, Amin S, Costa M, Yu Q, Das S, Jillette N, Clow P, Cheng A, Verhaak R. Live-Cell Imaging Shows Uneven Segregation of Extrachromosomal DNA Elements and Transcriptionally Active Extrachromosomal DNA Hubs in Cancer. Cancer Discovery 2022, 12: 468-483. PMID: 34819316, PMCID: PMC8831456, DOI: 10.1158/2159-8290.cd-21-1376.Peer-Reviewed Original ResearchConceptsExtrachromosomal DNA elementsDNA elementsUneven segregationRNA polymerase IILive-cell imagingPolymerase IIOffspring cellsGene transcriptionCell line modelsEcDNAsRandom segregationGenetic materialLiving cellsCopy numberLive cellsIndividual cellsTumor evolutionMitosisInheritance patternBreakpoint sequencesIssue featureTranscriptionFluorescent markersPatient tissuesCells
2019
The effects of MicroRNA deregulation on pre-RNA processing network in multiple myeloma
Adamia S, Abiatari I, Amin S, Fulciniti M, Minvielle S, Li C, Moreau P, Avet-Loiseau H, Munshi N, Anderson K. The effects of MicroRNA deregulation on pre-RNA processing network in multiple myeloma. Leukemia 2019, 34: 167-179. PMID: 31182781, PMCID: PMC6901818, DOI: 10.1038/s41375-019-0498-5.Peer-Reviewed Original ResearchConceptsMultiple myelomaPlasma cellsOvert multiple myelomaPatient outcomesMM cellsMM pathogenesisLet-7fMicroRNA deregulationRegulation of microRNAsCD138Certain miRsMyelomaMiRDependent gene expressionDeregulated expressionMiR-mediated regulationSignificant numberEpigenetic lesionsTarget genesMM genomesExpressionGene expressionEarly stagesCellsPatients