0000000000142702

AUTHOR

Enrico Derenzini

showing 2 related works from this author

Predictive and Prognostic Molecular Factors in Diffuse Large B-Cell Lymphomas.

2021

Diffuse large B-cell lymphoma (DLBCL) is the commonest form of lymphoid malignancy, with a prevalence of about 40% worldwide. Its classification encompasses a common form, also termed as “not otherwise specified” (NOS), and a series of variants, which are rare and at least in part related to viral agents. Over the last two decades, DLBCL-NOS, which accounts for more than 80% of the neoplasms included in the DLBCL chapter, has been the object of an increasing number of molecular studies which have led to the identification of prognostic/predictive factors that are increasingly entering daily practice. In this review, the main achievements obtained by gene expression profiling (with respect t…

0301 basic medicineOncologymedicine.medical_specialtydiagnosisdiffuse large B-cell lymphomaReviewSettore MED/08 - Anatomia Patologica03 medical and health sciences0302 clinical medicineInternal medicineDaily practicemedicineTumor MicroenvironmentHumanslcsh:QH301-705.5B celltherapybusiness.industryGene Expression ProfilingNot Otherwise SpecifiedHigh-Throughput Nucleotide SequencingGeneral Medicinemedicine.diseaseMicroarray AnalysisPrognosisLymphomaGene expression profilingdiagnosi030104 developmental biologymedicine.anatomical_structurelcsh:Biology (General)Lymphoid malignancyclassification030220 oncology & carcinogenesisnext-generation sequencingLymphoma Large B-Cell DiffusebusinessDiffuse large B-cell lymphomaprognosiCells
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Dissection of DLBCL microenvironment provides a gene expression-based predictor of survival applicable to formalin-fixed paraffin-embedded tissue

2018

Abstract Background Gene expression profiling (GEP) studies recognized a prognostic role for tumor microenvironment (TME) in diffuse large B-cell lymphoma (DLBCL), but the routinely adoption of prognostic stromal signatures remains limited. Patients and methods Here, we applied the computational method CIBERSORT to generate a 1028-gene matrix incorporating signatures of 17 immune and stromal cytotypes. Then, we carried out a deconvolution on publicly available GEP data of 482 untreated DLBCLs to reveal associations between clinical outcomes and proportions of putative tumor-infiltrating cell types. Forty-five genes related to peculiar prognostic cytotypes were selected and their expression …

0301 basic medicineOncologyMalePathologyHematologic MalignanciesBiopsyDatasets as TopicPredictive Value of TestDeconvolutionCohort StudiesTranscriptomeAntibodies Monoclonal Murine-Derived0302 clinical medicineprognosticatorsimmune system diseaseshemic and lymphatic diseasesTumor MicroenvironmentCluster Analysisdigital expression analysisRandomized Controlled Trials as TopicParaffin EmbeddingHematology; OncologyHematologyMiddle AgedPrognosisCorrigendaProgression-Free SurvivalAlgorithmOncology030220 oncology & carcinogenesisCell-of-originFemaleLymphoma Large B-Cell DiffuseSurvival AnalysiAlgorithmsHumanAdultmedicine.medical_specialtyStromal cellMicroenvironmentFormalin fixed paraffin embeddedPrognosiReproducibility of ResultDissection (medical)03 medical and health sciencesDigital expression analysiYoung AdultPrognosticatorPredictive Value of TestsFormaldehydeInternal medicinemedicineHumansProgression-free survivalGeneSurvival analysisAgedTumor microenvironmentCluster AnalysiProportional hazards modelbusiness.industryGene Expression ProfilingReproducibility of ResultsComputational BiologyOriginal Articlesmedicine.diseaseSurvival AnalysisGene expression profiling030104 developmental biologyDLBCLCohort StudieTranscriptomebusinessDiffuse large B-cell lymphomaDLBCL microenvironment deconvolution cell-of-origin digital expression analysis prognosticators
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