2017
TumorFusions: an integrative resource for cancer-associated transcript fusions
Hu X, Wang Q, Tang M, Barthel F, Amin S, Yoshihara K, Lang F, Martinez-Ledesma E, Lee S, Zheng S, Verhaak R. TumorFusions: an integrative resource for cancer-associated transcript fusions. Nucleic Acids Research 2017, 46: gkx1018-. PMID: 29099951, PMCID: PMC5753333, DOI: 10.1093/nar/gkx1018.Peer-Reviewed Original ResearchConceptsTranscript fusionsGene fusionsWhole-genome sequencing dataSomatic DNA rearrangementsTranscript-level expressionGenome sequencing dataGene annotationCopy number levelsCancer samplesCancer Genome AtlasDNA rearrangementsUniform pipelineFunctional fusionSequencing dataIntegrative resourceLevel expressionPartner genesGenome AtlasChromosomal alterationsMutational patternsCancer typesFusion transcriptsNon-neoplastic samplesMolecular aberrationsNumber levels
2013
Transcription factor-pathway coexpression analysis reveals cooperation between SP1 and ESR1 on dysregulating cell cycle arrest in non-hyperdiploid multiple myeloma
Wang X, Yan Z, Fulciniti M, Li Y, Gkotzamanidou M, Amin S, Shah P, Zhang Y, Munshi N, Li C. Transcription factor-pathway coexpression analysis reveals cooperation between SP1 and ESR1 on dysregulating cell cycle arrest in non-hyperdiploid multiple myeloma. Leukemia 2013, 28: 894-903. PMID: 23925045, PMCID: PMC4155324, DOI: 10.1038/leu.2013.233.Peer-Reviewed Original ResearchConceptsCell cycle arrestCycle arrestCoexpression analysisCell cycle arrest genesHyperdiploid MMCell cycle arrest pathwaysNon-hyperdiploid multiple myelomaDistinct chromosomal alterationsMyeloma subtypeMultiple myelomaTranscription factorsArrest pathwaysSp1Low coexpressionProper regulationHuman cancersDifferent survival outcomesChromosomal alterationsPlasma B cellsCoexpressionCell linesNovel hypothesisSurvival outcomesMyeloma proliferationClinical utility