Featured Publications
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 growth
2024
Oncogenic composite mutations can be predicted by co‐mutations and their chromosomal location
Küçükosmanoglu A, van der Borden C, de Boer L, Verhaak R, Noske D, Wurdinger T, Radonic T, Westerman B. Oncogenic composite mutations can be predicted by co‐mutations and their chromosomal location. Molecular Oncology 2024, 18: 2407-2422. PMID: 38757376, PMCID: PMC11459034, DOI: 10.1002/1878-0261.13636.Peer-Reviewed Original ResearchComposite mutationCo-mutationsMutation-specific drugsCell line dataChromosomal locationSub-clonal populationsGenetic heterogeneitySub-clonesTherapy resistanceSelection pressureGenetic eventsStratify patientsKRAS geneResistance-causing mutationsCancer patientsBiopsy samplesMutationsPatientsGenesPrecision medicineTherapyRiskChromosomeBiopsyBRAF
2019
GENE-28. LONGITUDINAL MOLECULAR TRAJECTORIES OF DIFFUSE GLIOMA IN ADULTS
Barthel F, Johnson K, Varn F, Moskalik A, Tanner G, Kocakavuk E, Anderson K, Abiola O, Consortium G, Huse J, DeGroot J, Stead L, Verhaak R. GENE-28. LONGITUDINAL MOLECULAR TRAJECTORIES OF DIFFUSE GLIOMA IN ADULTS. Neuro-Oncology 2019, 21: vi103-vi103. PMCID: PMC6847692, DOI: 10.1093/neuonc/noz175.430.Peer-Reviewed Original ResearchAdult patientsOverall survivalDisease recurrencePoor outcomeCurrent therapiesInitial diseaseTreatment optionsTherapy resistanceNeoantigen profilesTherapeutic interventionsPatientsPathway alterationsTumor progressionGlioma Longitudinal Analysis ConsortiumTargeted inhibitorsCancer typesGlioma developmentGliomasDiffuse gliomasGlioma subtypesTime pointsUnderstanding of mechanismsRecurrenceGlioma datasetsHypermutator phenotype