2019
Sequencing and curation strategies for identifying candidate glioblastoma treatments
Frank MO, Koyama T, Rhrissorrakrai K, Robine N, Utro F, Emde AK, Chen BJ, Arora K, Shah M, Geiger H, Felice V, Dikoglu E, Rahman S, Fang A, Vacic V, Bergmann EA, Vogel JLM, Reeves C, Khaira D, Calabro A, Kim D, Lamendola-Essel MF, Esteves C, Agius P, Stolte C, Boockvar J, Demopoulos A, Placantonakis DG, Golfinos JG, Brennan C, Bruce J, Lassman AB, Canoll P, Grommes C, Daras M, Diamond E, Omuro A, Pentsova E, Orange DE, Harvey SJ, Posner JB, Michelini VV, Jobanputra V, Zody MC, Kelly J, Parida L, Wrzeszczynski KO, Royyuru AK, Darnell RB. Sequencing and curation strategies for identifying candidate glioblastoma treatments. BMC Medical Genomics 2019, 12: 56. PMID: 31023376, PMCID: PMC6485090, DOI: 10.1186/s12920-019-0500-0.Peer-Reviewed Original ResearchConceptsPotential treatment optionClinical research studiesWhole-genome sequencingPharmacologic interventionsCancer patientsTreatment optionsClinical resultsPatientsConclusionThese resultsGlioblastoma treatmentPotential cancer treatmentPanel sequencingActionable variantsCancer treatmentGlioblastoma tumorsSame variantSequencing assaysDrug targetsRNA sequencingRNA-seqTreatmentNew York CitySequencingTumorsCliniciansTumor mutational load predicts survival after immunotherapy across multiple cancer types
Samstein RM, Lee CH, Shoushtari AN, Hellmann MD, Shen R, Janjigian YY, Barron DA, Zehir A, Jordan EJ, Omuro A, Kaley TJ, Kendall SM, Motzer RJ, Hakimi AA, Voss MH, Russo P, Rosenberg J, Iyer G, Bochner BH, Bajorin DF, Al-Ahmadie HA, Chaft JE, Rudin CM, Riely GJ, Baxi S, Ho AL, Wong RJ, Pfister DG, Wolchok JD, Barker CA, Gutin PH, Brennan CW, Tabar V, Mellinghoff IK, DeAngelis LM, Ariyan CE, Lee N, Tap WD, Gounder MM, D’Angelo S, Saltz L, Stadler ZK, Scher HI, Baselga J, Razavi P, Klebanoff CA, Yaeger R, Segal NH, Ku GY, DeMatteo RP, Ladanyi M, Rizvi NA, Berger MF, Riaz N, Solit DB, Chan TA, Morris LGT. Tumor mutational load predicts survival after immunotherapy across multiple cancer types. Nature Genetics 2019, 51: 202-206. PMID: 30643254, PMCID: PMC6365097, DOI: 10.1038/s41588-018-0312-8.Peer-Reviewed Original ResearchConceptsTumor mutational burdenHigh tumor mutational burdenImproved survivalCancer typesImmune checkpoint inhibitor treatmentAdvanced cancer patientsBetter overall survivalCheckpoint inhibitor treatmentMultiple cancer typesClinical responseOverall survivalCancer patientsPredictive biomarkersCancer histologyMetastatic cancerMutational burdenPatientsInhibitor treatmentNext-generation sequencingSurvivalICIMutational loadUniversal definitionAssociationImmunotherapy
2016
Second‐opinion interpretations of neuroimaging studies by oncologic neuroradiologists can help reduce errors in cancer care
Hatzoglou V, Omuro AM, Haque S, Khakoo Y, Ganly I, Oh JH, Shukla-Dave A, Fatovic R, Gaal J, Holodny AI. Second‐opinion interpretations of neuroimaging studies by oncologic neuroradiologists can help reduce errors in cancer care. Cancer 2016, 122: 2708-2714. PMID: 27219108, PMCID: PMC4992439, DOI: 10.1002/cncr.30083.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDiagnostic ErrorsFemaleFollow-Up StudiesHumansImage Interpretation, Computer-AssistedInfantMagnetic Resonance ImagingMaleMiddle AgedNeoplasm StagingNeoplasmsNeuroimagingObserver VariationPatient CarePhysiciansPrognosisRadiologistsReferral and ConsultationRetrospective StudiesTomography, X-Ray ComputedYoung AdultConceptsSecond-opinion interpretationsPatient managementMagnetic resonance imaging studySecond-opinion radiology reportsResonance imaging studyNational Cancer InstitutePatient ageNeuro-oncologistsCancer CenterDisease stageStudy criteriaCancer patientsClinical assessmentClinical impactNeck surgeonsRetrospective analysisHistopathologic analysisCancer InstituteImaging studiesRadiology reportsOutside reportsReference standardNeuroradiologistsSurgeonsDiscrepant reports