2017
Functional germline variants as potential co-oncogenes
Agarwal D, Nowak C, Zhang NR, Pusztai L, Hatzis C. Functional germline variants as potential co-oncogenes. Npj Breast Cancer 2017, 3: 46. PMID: 29177190, PMCID: PMC5700137, DOI: 10.1038/s41523-017-0051-5.Peer-Reviewed Original ResearchRecent genome sequencing studiesFunction of proteinsDifferent oncogenic eventsGermline variantsGenome sequencing studiesSomatic mutationsDriver mutationsPhenotypic variationSpecific cancer subtypesLarge breast cancer cohortSomatic driver mutationsSequencing studiesFull malignant transformationFunctional germline variantsCancer biologyRecurrent driver mutationsOncogenic eventsSomatic eventsMutationsGermline aberrationsGermline polymorphismsFamilial cancerIndividual cancersMalignant transformationPolymorphism
2015
A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients
Pongor L, Kormos M, Hatzis C, Pusztai L, Szabó A, Győrffy B. A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients. Genome Medicine 2015, 7: 104. PMID: 26474971, PMCID: PMC4609150, DOI: 10.1186/s13073-015-0228-1.Peer-Reviewed Original ResearchConceptsRNA-seq dataNext-generation sequencingBreast cancer patientsTranscriptomic fingerprintGenome-wide approachesGeneration sequencingClinical outcomesCancer patientsHuman gene mutationsTumor suppressor geneGene chip dataSuch genesRNA-seqGene mutationsLarge breast cancer cohortGene expressionChip dataSuppressor geneBreast cancer cohortGenesMicroarray dataMutationsSomatic mutationsClinical characteristicsCox regression