Evaluation of the role of KPNA2 mutations in breast cancer prognosis using bioinformatics datasets
Alnoumas L, van den Driest L, Apczynski Z, Lannigan A, Johnson CH, Rattray NJW, Rattray Z. Evaluation of the role of KPNA2 mutations in breast cancer prognosis using bioinformatics datasets. BMC Cancer 2022, 22: 874. PMID: 35948941, PMCID: PMC9364282, DOI: 10.1186/s12885-022-09969-4.Peer-Reviewed Original ResearchConceptsBreast cancer prognosisBreast cancerCancer prognosisFemale cancer-related mortalityPoor patient survival outcomePrecision medicine-based approachKPNA2 overexpressionNovel chemotherapy agentsCancer-related mortalityPatient survival outcomesPoor patient prognosisAggressive tumor phenotypePatient agePrognostic rolePatient survivalSurvival outcomesPatient prognosisLeading causeChemotherapy agentsClinical dataCancer casesClinicopathologic parametersPatient stratificationActionable targetsChemotherapy resistanceDevelopment of an Accessible Gene Expression Bioinformatics Pipeline to Study Driver Mutations of Colorectal Cancer
van den Driest L, Johnson CH, Rattray NJW, Rattray Z. Development of an Accessible Gene Expression Bioinformatics Pipeline to Study Driver Mutations of Colorectal Cancer. Alternatives To Laboratory Animals 2022, 50: 282-292. PMID: 35765262, DOI: 10.1177/02611929221107546.Peer-Reviewed Original ResearchConceptsColorectal cancerBioinformatics toolsExpression patternsKirsten rat sarcoma viral oncogene homologueNext-generation sequencing technologiesDifferential expression patternsCancer-related mortalityGenetic alterationsAdenomatous polyposis coliEffector proteinsMutational driversPrognostic significancePrognostic valueSequencing technologiesBioinformatics pipelinePatient prognosisGenetic dataB-RafColorectal tumorsNovel biomarkersColon cancerTherapeutic outcomesFrequency of mutationsAnatomical locationOncogene homologue