2023
Multimodal immunogenomic biomarker analysis of tumors from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
Nabbi A, Danesh A, Espin-Garcia O, Pedersen S, Wellum J, Fu L, Paulson J, Geoerger B, Marshall L, Trippett T, Rossato G, Pugh T, Hutchinson K. Multimodal immunogenomic biomarker analysis of tumors from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab. Nature Cancer 2023, 4: 502-515. PMID: 37038005, PMCID: PMC10132976, DOI: 10.1038/s43018-023-00534-x.Peer-Reviewed Original ResearchMeSH KeywordsAntibodies, Monoclonal, HumanizedBiomarkersCD8-Positive T-LymphocytesChildHumansNeoplasmsConceptsPediatric patientsAssociated with progression-free survivalCD8+ T cellsT cell receptor repertoireProgression-free survivalImmune-checkpoint inhibitionB cell infiltrationTertiary lymphoid structuresBiomarker analysisAtezolizumab therapyAntitumor immunityStable diseasePD-L1Partial responseTumor neoantigensRefractory tumorsPatient tumorsLymphoid structuresT cellsB cellsReceptor repertoireClinical trialsClinical activityTumorImmune responseThe Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks
Ben Guebila M, Wang T, Lopes-Ramos C, Fanfani V, Weighill D, Burkholz R, Schlauch D, Paulson J, Altenbuchinger M, Shutta K, Sonawane A, Lim J, Calderer G, van IJzendoorn D, Morgan D, Marin A, Chen C, Song Q, Saha E, DeMeo D, Padi M, Platig J, Kuijjer M, Glass K, Quackenbush J. The Network Zoo: a multilingual package for the inference and analysis of gene regulatory networks. Genome Biology 2023, 24: 45. PMID: 36894939, PMCID: PMC9999668, DOI: 10.1186/s13059-023-02877-1.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsComputational BiologyGene Regulatory NetworksHumansMultiomicsNeoplasmsSoftware
2018
Cancer subtype identification using somatic mutation data
Kuijjer M, Paulson J, Salzman P, Ding W, Quackenbush J. Cancer subtype identification using somatic mutation data. British Journal Of Cancer 2018, 118: 1492-1501. PMID: 29765148, PMCID: PMC5988673, DOI: 10.1038/s41416-018-0109-7.Peer-Reviewed Original ResearchConceptsSomatic mutation dataAssociated with mutationsNext-generation sequencing technologiesMutation dataBiological pathwaysSets of mutationsSignal transduction pathwaysCancer typesPan-cancer subtypesSequencing technologiesPhenotypic dataCancer Genome AtlasCancer subtype identificationTransduction pathwaysMutational driversSomatic mutationsSubgroup of patientsTargeted treatment optionsMutationsMutation patternsGenome AtlasClassification of patientsMutation profilesPrimary tumorPrognostic subtypes