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Your search keyword '"Vetrella, Simona"' showing total 15 results
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15 results on '"Vetrella, Simona"'

3. Neuroblastic tumors and neurofibromatosis type 1: A retrospective multicenter study in Italy and systematic review of the literature

Author

Puglisi, Federica, primary, Soma, Rachele, additional, Podda, Marta, additional, Vetrella, Simona, additional, Rabusin, Marco, additional, Tropia, Serena, additional, Meli, Mariaclaudia, additional, Russo, Giovanna, additional, Sorrentino, Stefania, additional, Erminio, Giovanni, additional, Pulvirenti, Alfredo, additional, Ruggieri, Martino, additional, and Di Cataldo, Andrea, additional

Published
2022
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6. Additional file 1: of Stage 4 s neuroblastoma: features, management and outcome of 268 cases from the Italian Neuroblastoma Registry

Author

Bernardi, Bruno, Cataldo, Andrea, Garaventa, Alberto, Massirio, Paolo, Viscardi, Elisabetta, Podda, Marta, Castellano, Aurora, D’Angelo, Paolo, Tirtei, Elisa, Fraia Melchionda, Vetrella, Simona, Leonardis, Francesco, D’Ippolito, Carmelita, Tondo, Annalisa, Nonnis, Antonella, Erminio, Giovanni, Gigliotti, Anna, Mazzocco, Katia, and Haupt, Riccardo

Subjects
neoplasms
Abstract

Table S1. Outlines of therapy for stage 4 s neuroblastoma patients (DOCX 16 kb)

Published
2019
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7. Stage 4 s neuroblastoma: features, management and outcome of 268 cases from the Italian Neuroblastoma Registry

Author

De Bernardi, Bruno, primary, Di Cataldo, Andrea, additional, Garaventa, Alberto, additional, Massirio, Paolo, additional, Viscardi, Elisabetta, additional, Podda, Marta Giorgia, additional, Castellano, Aurora, additional, D’Angelo, Paolo, additional, Tirtei, Elisa, additional, Melchionda, Fraia, additional, Vetrella, Simona, additional, De Leonardis, Francesco, additional, D’Ippolito, Carmelita, additional, Tondo, Annalisa, additional, Nonnis, Antonella, additional, Erminio, Giovanni, additional, Gigliotti, Anna Rita, additional, Mazzocco, Katia, additional, and Haupt, Riccardo, additional

Published
2019
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8. MOESM1 of An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma

Author

Formicola, Daniela, Petrosino, Giuseppe, Lasorsa, Vito, Pignataro, Piero, Cimmino, Flora, Vetrella, Simona, Longo, Luca, Tonini, Gian, AndrĂŠ Oberthuer, Iolascon, Achille, Fischer, Matthias, and Capasso, Mario

Subjects
ComputingMethodologies_SIMULATIONANDMODELING, InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, ComputingMilieux_COMPUTERSANDEDUCATION, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, ComputerApplications_COMPUTERSINOTHERSYSTEMS
Abstract

Additional file 1. The supplementary document contains detailed information on the methods used, supplementary figures and tables.

Published
2016
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9. An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma

Author

Formicola, Daniela, Petrosino, Giuseppe, Lasorsa, Vito Alessandro, Pignataro, Piero, Cimmino, Flora, Vetrella, Simona, Longo, Luca, Tonini, Gian Paolo, Oberthuer, Andre, Iolascon, Achille, Fischer, Matthias, Capasso, Mario, Formicola, Daniela, Petrosino, Giuseppe, Lasorsa, Vito Alessandro, Pignataro, Piero, Cimmino, Flora, Vetrella, Simona, Longo, Luca, Tonini, Gian Paolo, Oberthuer, Andre, Iolascon, Achille, Fischer, Matthias, and Capasso, Mario

Abstract

Background: The prognosis of children with metastatic stage 4 neuroblastoma (NB) has remained poor in the past decade. Patients and methods: Using microarray analyses of 342 primary tumors, we here developed and validated an easy to use gene expression-based risk score including 18 genes, which can robustly predict the outcome of stage 4 patients. Results: This classifier was a significant predictor of overall survival in two independent validation cohorts [ cohort 1 (n = 214): P = 6.3 x 10(-5); cohort 2 (n = 27): P = 3.1 x 10(-2)]. The prognostic value of the risk score was validated by multivariate analysis including the established markers age and MYCN status (P = 0.027). In the pooled validation cohorts (n = 241), integration of the risk score with the age and/or MYCN status identified subgroups with significantly differing overall survival (ranging from 35 to 100 %). Conclusion: Together, the 18-gene risk score classifier can identify patients with stage 4 NB with favorable outcome and may therefore improve risk assessment and treatment stratification of NB patients with disseminated disease.

Published
2016

11. An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma

Author

Formicola, Daniela, primary, Petrosino, Giuseppe, additional, Lasorsa, Vito Alessandro, additional, Pignataro, Piero, additional, Cimmino, Flora, additional, Vetrella, Simona, additional, Longo, Luca, additional, Tonini, Gian Paolo, additional, Oberthuer, André, additional, Iolascon, Achille, additional, Fischer, Matthias, additional, and Capasso, Mario, additional

Published
2016
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12. Krukenberg tumor in an 11-year-old girl

Author

Ruotolo, Serena, primary, Errico, Maria Elena, additional, Castelli, Luisa, additional, Caccioppoli, Umberto, additional, De Bernardi, Bruno, additional, Guarrasi, Rosario, additional, and Vetrella, Simona, additional

Published
2014
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13. Symptomatic Epidural Compression in Infants With Neuroblastoma

Author

Capasso, Maria, primary, Cinalli, Giuseppe, additional, Nastro, Anna, additional, Giuliano, Maria, additional, Errico, Maria E., additional, Caccioppoli, Umberto, additional, Turco, Rossella, additional, Ruotolo, Serena, additional, Vetrella, Simona, additional, De Bernardi, Bruno, additional, Rossi, Eugenio, additional, and Quaglietta, Lucia, additional

Published
2013
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14. An 18 gene expression-based score classifier predicts the clinical outcome in stage 4 neuroblastoma

Author

Gian Paolo Tonini, André Oberthuer, Simona Vetrella, Achille Iolascon, Flora Cimmino, Matthias Fischer, Giuseppe Petrosino, Daniela Formicola, Piero Pignataro, Luca Longo, Vito Alessandro Lasorsa, Mario Capasso, Formicola, Daniela, Petrosino, Giuseppe, Lasorsa, Vito Alessandro, Pignataro, Piero, Cimmino, Flora, Vetrella, Simona, Longo, Luca, Tonini, Gian Paolo, Oberthuer, André, Iolascon, Achille, Fischer, Matthia, and Capasso, Mario

Subjects
0301 basic medicine, Oncology, Male, medicine.medical_specialty, Multivariate analysis, Prognosi, Kaplan-Meier Estimate, Microarray, Bioinformatics, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Neuroblastoma, 0302 clinical medicine, Internal medicine, Medicine, Humans, Disseminated disease, Gene Regulatory Networks, Proportional Hazards Models, Medicine(all), Framingham Risk Score, Biochemistry, Genetics and Molecular Biology(all), business.industry, Proportional hazards model, Gene Expression Profiling, Research, Reproducibility of Results, General Medicine, medicine.disease, Prognosis, Gene expression profiling, Gene Expression Regulation, Neoplastic, 030104 developmental biology, Gene Ontology, Treatment Outcome, 030220 oncology & carcinogenesis, Child, Preschool, Cohort, Multivariate Analysis, Regression Analysis, Female, Risk score, business, Risk assessment
Abstract

Background The prognosis of children with metastatic stage 4 neuroblastoma (NB) has remained poor in the past decade. Patients and methods Using microarray analyses of 342 primary tumors, we here developed and validated an easy to use gene expression-based risk score including 18 genes, which can robustly predict the outcome of stage 4 patients. Results This classifier was a significant predictor of overall survival in two independent validation cohorts [cohort 1 (n = 214): P = 6.3 × 10−5; cohort 2 (n = 27): P = 3.1 × 10−2]. The prognostic value of the risk score was validated by multivariate analysis including the established markers age and MYCN status (P = 0.027). In the pooled validation cohorts (n = 241), integration of the risk score with the age and/or MYCN status identified subgroups with significantly differing overall survival (ranging from 35 to 100 %). Conclusion Together, the 18-gene risk score classifier can identify patients with stage 4 NB with favorable outcome and may therefore improve risk assessment and treatment stratification of NB patients with disseminated disease. Electronic supplementary material The online version of this article (doi:10.1186/s12967-016-0896-7) contains supplementary material, which is available to authorized users.

Published
2016

15. CNR2 functional variant (Q63R) influences childhood immune thrombocytopenic purpura.

Author

Rossi F, Mancusi S, Bellini G, Roberti D, Punzo F, Vetrella S, Matarese SM, Nobili B, Maione S, and Perrotta S

Subjects
Acute Disease, Adolescent, Child, Child, Preschool, Chronic Disease, Female, Humans, Infant, Alleles, Gene Frequency, Genotype, Mutation, Missense, Purpura, Thrombocytopenic, Idiopathic genetics, Receptor, Cannabinoid, CB2 genetics
Abstract

Immune thrombocytopenic purpura is an acquired autoimmune disorder that is the most common cause of thrombocytopenia in children. The endocannabinoid system is involved in immune regulation. We evaluated a common missense variant (CAA/CGG; Q63R) of the gene encoding the cannabinoid receptor type 2 (GeneID 1269) in 190 children with immune thrombocytopenic purpura and 600 healthy controls. The allelic frequencies and genotype distribution of the polymorphism in the patients were significant compared to control samples (P=0.006 and P=0.0001, respectively). Interestingly, when acute and chronic immune thrombocytopenic purpura patients were analyzed separately with respect to controls, a significant overrepresentation of the RR genotype and of the R allele was observed only for the chronic form (P=0.00021 and P=0.011, respectively). The relative odds ratio suggested the risk of developing chronic form was more than double in immune thrombocytopenic purpura children homozygous for the variant (odds ratio=2.349, 95% CI: 1.544-3.573; P<0.001).

Published
2011
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