2020
tRFtarget: a database for transfer RNA-derived fragment targets
Li N, Shan N, Lu L, Wang Z. tRFtarget: a database for transfer RNA-derived fragment targets. Nucleic Acids Research 2020, 49: d254-d260. PMID: 33035346, PMCID: PMC7779015, DOI: 10.1093/nar/gkaa831.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsBase PairingBase SequenceCaenorhabditis elegansDatabases, Nucleic AcidDrosophila melanogasterGene OntologyHumansMiceMolecular Sequence AnnotationNucleic Acid ConformationNucleic Acid HybridizationRhodobacter sphaeroidesRNA, MessengerRNA, Small UntranslatedRNA, TransferSchizosaccharomycesThermodynamicsXenopusZebrafishConceptsTarget genesTransfer RNASmall non-coding RNAsGene Ontology annotationsNon-coding RNAsFunctional pathway analysisAccessible web-based databaseMolecular functionsOntology annotationsBiological functionsPathway analysisMolecular mechanismsPhysiological processesTarget predictionHuman diseasesGenesMRNA transcriptsRNAWeb-based databaseConvenient linkTRFImportant roleRNAhybridTargetIntaRNASyndecan-1 and KRAS Gene Expression Signature Associates With Patient Survival in Pancreatic Cancer.
Wu Y, Huang H, Fervers B, Lu L. Syndecan-1 and KRAS Gene Expression Signature Associates With Patient Survival in Pancreatic Cancer. Pancreas 2020, 49: 1187-1194. PMID: 32898003, DOI: 10.1097/mpa.0000000000001654.Peer-Reviewed Original ResearchConceptsSyndecan-1Patient survivalPancreatic cancerAdjusted hazard ratioPancreatic cancer patientsKRAS somatic mutationsSDC1 mRNASomatic mutationsHazard ratioCancer patientsClinical dataSurvival analysisKRASPatientsKyoto EncyclopediaKRAS mRNAElevated mortalityGenomes (KEGG) pathway analysisCancerPathway analysisLower methylationMolecular characteristicsSurvivalMRNANegative correlation
2018
Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer
Walsh N, Zhang H, Hyland PL, Yang Q, Mocci E, Zhang M, Childs EJ, Collins I, Wang Z, Arslan AA, Beane-Freeman L, Bracci PM, Brennan P, Canzian F, Duell EJ, Gallinger S, Giles GG, Goggins M, Goodman GE, Goodman PJ, Hung RJ, Kooperberg C, Kurtz RC, Malats N, LeMarchand L, Neale RE, Olson SH, Scelo G, Shu XO, Van Den Eeden SK, Visvanathan K, White E, Zheng W, consortia P, Albanes D, Andreotti G, Babic A, Bamlet W, Berndt S, Borgida A, Boutron-Ruault M, Brais L, Brennan P, Bueno-de-Mesquita B, Buring J, Chaffee K, Chanock S, Cleary S, Cotterchio M, Foretova L, Fuchs C, Gaziano J, Giovannucci E, Goggins M, Hackert T, Haiman C, Hartge P, Hasan M, Helzlsouer K, Herman J, Holcatova I, Holly E, Hoover R, Hung R, Janout V, Klein E, Kurtz R, Laheru D, Lee I, Lu L, Malats N, Mannisto S, Milne R, Oberg A, Orlow I, Patel A, Peters U, Porta M, Real F, Rothman N, Sesso H, Severi G, Silverman D, Strobel O, Sund M, Thornquist M, Tobias G, Wactawski-Wende J, Wareham N, Weiderpass E, Wentzensen N, Wheeler W, Yu H, Zeleniuch-Jacquotte A, Kraft P, Li D, Jacobs E, Petersen G, Wolpin B, Risch H, Amundadottir L, Yu K, Klein A, Stolzenberg-Solomon R. Agnostic Pathway/Gene Set Analysis of Genome-Wide Association Data Identifies Associations for Pancreatic Cancer. Journal Of The National Cancer Institute 2018, 111: 557-567. PMID: 30541042, PMCID: PMC6579744, DOI: 10.1093/jnci/djy155.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesGene setsSingle nucleotide polymorphismsFunctional annotationEpidermal growth factor receptor transactivationExpression quantitative trait loci (eQTL) analysisQuantitative trait locus (QTL) analysisGrowth factor receptor transactivationTop single nucleotide polymorphismsG protein-coupled receptorsGene-set analysisProtein-coupled receptorsIndividual single nucleotide polymorphismsBeta-cell developmentEQTL analysisGWAS dataPCC genesPancreatic ductal adenocarcinomaReceptor transactivationLocus analysisPathway analysisAssociation studiesGenesSusceptibility genesIdentifies associations
2012
Favorable outcome associated with an IGF-1 ligand signature in breast cancer
Mu L, Tuck D, Katsaros D, Lu L, Schulz V, Perincheri S, Menato G, Scarampi L, Harris L, Yu H. Favorable outcome associated with an IGF-1 ligand signature in breast cancer. Breast Cancer Research And Treatment 2012, 133: 321-331. PMID: 22297468, DOI: 10.1007/s10549-012-1952-5.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularCohort StudiesDisease-Free SurvivalFemaleGene ExpressionGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansInsulin-Like Growth Factor Binding ProteinsInsulin-Like Growth Factor IKaplan-Meier EstimateLigandsMiddle AgedMultivariate AnalysisNeoplasm Recurrence, LocalOligonucleotide Array Sequence AnalysisPrognosisReceptor, IGF Type 1Young AdultConceptsIGF-1 ligandBreast cancerFavorable outcomeInsulin-like growth factor (IGF) axisActivation signaturePrimary breast cancerGrowth factor axisPredictors of responseHuman breast cancerPathway analysisUpregulation of pathwaysBetter prognosisIGF axisPrognostic valueReceptor levelsLevels of mRNAFactor axisIGF ligandsIngenuity softwarePathway activation scoresCancerLigand levelsActivation scoresHigh groupProliferation pathways