0000000000324135

AUTHOR

Fabio Mele

0000-0001-6777-4682

showing 2 related works from this author

BRAF as a positive predictive biomarker: Focus on lung cancer and melanoma patients

2020

In the era of personalized medicine, BRAF mutational assessment is mandatory in advanced-stage melanoma and non-small cell lung cancer (NSCLC) patients. The identification of actionable mutations is crucial for the adequate management of these patients. To date various drugs have been implemented in clinical practice. Similarly, various methods may be adopted for the identification of BRAF mutations. Here, we briefly review the current literature on BRAF in melanoma and NSCLC, focusing attention in particular on the different methods and drugs adopted in these patients. In addition, an overview of the real-world practice in different Italian laboratories with high expertise in molecular pre…

0301 basic medicineOncologyProto-Oncogene Proteins B-rafmedicine.medical_specialtyPredictive molecular pathologyLung NeoplasmsGene mutationBRAF03 medical and health scienceschemistry.chemical_compound0302 clinical medicineInternal medicineCarcinoma Non-Small-Cell LungMedicineHumansNon-Small-Cell LungVemurafenibLung cancerneoplasmsMelanomaTrametinibCobimetinibbusiness.industryBRAF; Lung cancer; Melanoma; Precision medicine; Predictive molecular pathology; Biomarkers; Humans; Mutation; Proto-Oncogene Proteins B-raf; Carcinoma Non-Small-Cell Lung; Lung Neoplasms; MelanomaCarcinomaPrecision medicineDabrafenibHematologyBiomarkerPrecision medicinemedicine.diseaseBRAF; Lung cancer; Melanoma; Precision medicine; Predictive molecular pathologyLung Neoplasm030104 developmental biologyOncologychemistry030220 oncology & carcinogenesisMutationPersonalized medicineLung cancerbusinessBiomarkersmedicine.drugHuman
researchProduct

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
researchProduct