12 results on '"Bicchieri, Marilena"'
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2. Real-World Validation of Molecular International Prognostic Scoring System for Myelodysplastic Syndromes
- Author
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Sauta, Elisabetta, primary, Robin, Marie, additional, Bersanelli, Matteo, additional, Travaglino, Erica, additional, Meggendorfer, Manja, additional, Zhao, Lin-Pierre, additional, Caballero Berrocal, Juan Carlos, additional, Sala, Claudia, additional, Maggioni, Giulia, additional, Bernardi, Massimo, additional, Di Grazia, Carmen, additional, Vago, Luca, additional, Rivoli, Giulia, additional, Borin, Lorenza, additional, D'Amico, Saverio, additional, Tentori, Cristina Astrid, additional, Ubezio, Marta, additional, Campagna, Alessia, additional, Russo, Antonio, additional, Mannina, Daniele, additional, Lanino, Luca, additional, Chiusolo, Patrizia, additional, Giaccone, Luisa, additional, Voso, Maria Teresa, additional, Riva, Marta, additional, Oliva, Esther Natalie, additional, Zampini, Matteo, additional, Riva, Elena, additional, Nibourel, Olivier, additional, Bicchieri, Marilena, additional, Bolli, Niccolo’, additional, Rambaldi, Alessandro, additional, Passamonti, Francesco, additional, Savevski, Victor, additional, Santoro, Armando, additional, Germing, Ulrich, additional, Kordasti, Shahram, additional, Santini, Valeria, additional, Diez-Campelo, Maria, additional, Sanz, Guillermo, additional, Sole, Francesc, additional, Kern, Wolfgang, additional, Platzbecker, Uwe, additional, Ades, Lionel, additional, Fenaux, Pierre, additional, Haferlach, Torsten, additional, Castellani, Gastone, additional, and Della Porta, Matteo Giovanni, additional
- Published
- 2023
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3. Real-World Validation of Molecular International Prognostic Scoring System for Myelodysplastic Syndromes
- Author
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Sauta, E, Robin, M, Bersanelli, M, Travaglino, E, Meggendorfer, M, Zhao, L, Caballero Berrocal, J, Sala, C, Maggioni, G, Bernardi, M, Di Grazia, C, Vago, L, Rivoli, G, Borin, L, D'Amico, S, Tentori, C, Ubezio, M, Campagna, A, Russo, A, Mannina, D, Lanino, L, Chiusolo, P, Giaccone, L, Voso, M, Riva, M, Oliva, E, Zampini, M, Riva, E, Nibourel, O, Bicchieri, M, Bolli, N, Rambaldi, A, Passamonti, F, Savevski, V, Santoro, A, Germing, U, Kordasti, S, Santini, V, Diez-Campelo, M, Sanz, G, Sole, F, Kern, W, Platzbecker, U, Ades, L, Fenaux, P, Haferlach, T, Castellani, G, Della Porta, M, Sauta, Elisabetta, Robin, Marie, Bersanelli, Matteo, Travaglino, Erica, Meggendorfer, Manja, Zhao, Lin-Pierre, Caballero Berrocal, Juan Carlos, Sala, Claudia, Maggioni, Giulia, Bernardi, Massimo, Di Grazia, Carmen, Vago, Luca, Rivoli, Giulia, Borin, Lorenza, D'Amico, Saverio, Tentori, Cristina Astrid, Ubezio, Marta, Campagna, Alessia, Russo, Antonio, Mannina, Daniele, Lanino, Luca, Chiusolo, Patrizia, Giaccone, Luisa, Voso, Maria Teresa, Riva, Marta, Oliva, Esther Natalie, Zampini, Matteo, Riva, Elena, Nibourel, Olivier, Bicchieri, Marilena, Bolli, Niccolo', Rambaldi, Alessandro, Passamonti, Francesco, Savevski, Victor, Santoro, Armando, Germing, Ulrich, Kordasti, Shahram, Santini, Valeria, Diez-Campelo, Maria, Sanz, Guillermo, Sole, Francesc, Kern, Wolfgang, Platzbecker, Uwe, Ades, Lionel, Fenaux, Pierre, Haferlach, Torsten, Castellani, Gastone, Della Porta, Matteo Giovanni, Sauta, E, Robin, M, Bersanelli, M, Travaglino, E, Meggendorfer, M, Zhao, L, Caballero Berrocal, J, Sala, C, Maggioni, G, Bernardi, M, Di Grazia, C, Vago, L, Rivoli, G, Borin, L, D'Amico, S, Tentori, C, Ubezio, M, Campagna, A, Russo, A, Mannina, D, Lanino, L, Chiusolo, P, Giaccone, L, Voso, M, Riva, M, Oliva, E, Zampini, M, Riva, E, Nibourel, O, Bicchieri, M, Bolli, N, Rambaldi, A, Passamonti, F, Savevski, V, Santoro, A, Germing, U, Kordasti, S, Santini, V, Diez-Campelo, M, Sanz, G, Sole, F, Kern, W, Platzbecker, U, Ades, L, Fenaux, P, Haferlach, T, Castellani, G, Della Porta, M, Sauta, Elisabetta, Robin, Marie, Bersanelli, Matteo, Travaglino, Erica, Meggendorfer, Manja, Zhao, Lin-Pierre, Caballero Berrocal, Juan Carlos, Sala, Claudia, Maggioni, Giulia, Bernardi, Massimo, Di Grazia, Carmen, Vago, Luca, Rivoli, Giulia, Borin, Lorenza, D'Amico, Saverio, Tentori, Cristina Astrid, Ubezio, Marta, Campagna, Alessia, Russo, Antonio, Mannina, Daniele, Lanino, Luca, Chiusolo, Patrizia, Giaccone, Luisa, Voso, Maria Teresa, Riva, Marta, Oliva, Esther Natalie, Zampini, Matteo, Riva, Elena, Nibourel, Olivier, Bicchieri, Marilena, Bolli, Niccolo', Rambaldi, Alessandro, Passamonti, Francesco, Savevski, Victor, Santoro, Armando, Germing, Ulrich, Kordasti, Shahram, Santini, Valeria, Diez-Campelo, Maria, Sanz, Guillermo, Sole, Francesc, Kern, Wolfgang, Platzbecker, Uwe, Ades, Lionel, Fenaux, Pierre, Haferlach, Torsten, Castellani, Gastone, and Della Porta, Matteo Giovanni
- Abstract
Purpose: Myelodysplastic syndromes (MDS) are heterogeneous myeloid neoplasms in which a risk-adapted treatment strategy is needed. Recently, a new clinical-molecular prognostic model, the Molecular International Prognostic Scoring System (IPSS-M) was proposed to improve the prediction of clinical outcome of the currently available tool (Revised International Prognostic Scoring System [IPSS-R]). We aimed to provide an extensive validation of IPSS-M. Methods: A total of 2,876 patients with primary MDS from the GenoMed4All consortium were retrospectively analyzed. Results: IPSS-M improved prognostic discrimination across all clinical end points with respect to IPSS-R (concordance was 0.81 v 0.74 for overall survival and 0.89 v 0.76 for leukemia-free survival, respectively). This was true even in those patients without detectable gene mutations. Compared with the IPSS-R based stratification, the IPSS-M risk group changed in 46% of patients (23.6% and 22.4% of subjects were upstaged and downstaged, respectively).In patients treated with hematopoietic stem cell transplantation (HSCT), IPSS-M significantly improved the prediction of the risk of disease relapse and the probability of post-transplantation survival versus IPSS-R (concordance was 0.76 v 0.60 for overall survival and 0.89 v 0.70 for probability of relapse, respectively). In high-risk patients treated with hypomethylating agents (HMA), IPSS-M failed to stratify individual probability of response; response duration and probability of survival were inversely related to IPSS-M risk.Finally, we tested the accuracy in predicting IPSS-M when molecular information was missed and we defined a minimum set of 15 relevant genes associated with high performance of the score. Conclusion: IPSS-M improves MDS prognostication and might result in a more effective selection of candidates to HSCT. Additional factors other than gene mutations can be involved in determining HMA sensitivity. The definition of a minimum set of relevan
- Published
- 2023
4. Real-World Validation of Molecular International Prognostic Scoring System (IPSS-M) for Myelodysplastic Syndromes
- Author
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Sauta, Elisabetta, primary, Robin, Marie, additional, Bersanelli, Matteo, additional, Travaglino, Erica, additional, Meggendorfer, Manja, additional, Zhao, Lin-Pierre, additional, Caballero Berrocal, Juan Carlos, additional, Maggioni, Giulia, additional, Tentori, Cristina Astrid, additional, Bernardi, Massimo, additional, Di Grazia, Carmen, additional, Vago, Luca, additional, Rivoli, Giulia, additional, Borin, Lorenza, additional, D'Amico, Saverio, additional, Ubezio, Marta, additional, Campagna, Alessia, additional, Russo, Antonio, additional, Mannina, Daniele, additional, Lanino, Luca, additional, Chiusolo, Patrizia, additional, Giaccone, Luisa, additional, Voso, Maria Teresa, additional, Riva, Marta, additional, Oliva, Esther Natalie, additional, Zampini, Matteo, additional, Riva, Elena, additional, Nibourel, Olivier, additional, Sala, Claudia, additional, Bicchieri, Marilena, additional, Bolli, Niccolò, additional, Rambaldi, Alessandro, additional, Passamonti, Francesco, additional, Savevski, Victor, additional, Santoro, Armando, additional, Germing, Ulrich, additional, Kordasti, Shahram, additional, Santini, Valeria, additional, Diez-Campelo, Maria, additional, Sanz, Guillermo, additional, Solé, Francesc, additional, Kern, Wolfgang, additional, Platzbecker, Uwe, additional, Ades, Lionel, additional, Fenaux, Pierre, additional, Haferlach, Torsten, additional, Gastone, Castellani, additional, and Della Porta, Matteo G., additional
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- 2022
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5. Multi-Modal Analysis and Federated Learning Approach for Classification and Personalized Prognostic Assessment in Myeloid Neoplasms
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D'Amico, Saverio, primary, Dall'Olio, Lorenzo, additional, Rollo, Cesare, additional, Alonso, Patricia, additional, Prada-Luengo, Iñigo, additional, Dall'Olio, Daniele, additional, Sala, Claudia, additional, Bersanelli, Matteo, additional, Sauta, Elisabetta, additional, Bicchieri, Marilena, additional, Morandini, Pierandrea, additional, Tommasini, Tobia, additional, Savevski, Victor, additional, Zhao, Lin-Pierre, additional, Platzbecker, Uwe, additional, Diez-Campelo, Maria, additional, Santini, Valeria, additional, Fenaux, Pierre, additional, Haferlach, Torsten, additional, Krogh, Anders, additional, Zazo, Santiago, additional, Fariselli, Piero, additional, Sanavia, Tiziana, additional, Della Porta, Matteo G., additional, and Gastone, Castellani, additional
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- 2022
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6. Synthetic Data Generation By Artificial Intelligence to Accelerate Translational Research and Precision Medicine in Hematological Malignancies
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D'Amico, Saverio, primary, Sauta, Elisabetta, additional, Bersanelli, Matteo, additional, Dall'Olio, Daniele, additional, Sala, Claudia, additional, Dall'Olio, Lorenzo, additional, Morandini, Pierandrea, additional, Tommasini, Tobia, additional, Bicchieri, Marilena, additional, Zampini, Matteo, additional, Savevski, Victor, additional, Prada-Luengo, Iñigo, additional, Krogh, Anders, additional, Platzbecker, Uwe, additional, Diez-Campelo, Maria, additional, Santini, Valeria, additional, Fenaux, Pierre, additional, Haferlach, Torsten, additional, Gastone, Castellani, additional, and Della Porta, Matteo G., additional
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- 2022
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7. Clinical relevance of clonal hematopoiesis in persons aged ≥80 years
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Rossi, Marianna, primary, Meggendorfer, Manja, additional, Zampini, Matteo, additional, Tettamanti, Mauro, additional, Riva, Emma, additional, Travaglino, Erica, additional, Bersanelli, Matteo, additional, Mandelli, Sara, additional, Antonella Galbussera, Alessia, additional, Mosca, Ettore, additional, Saba, Elena, additional, Chiereghin, Chiara, additional, Manes, Nicla, additional, Milanesi, Chiara, additional, Ubezio, Marta, additional, Morabito, Lucio, additional, Peano, Clelia, additional, Soldà, Giulia, additional, Asselta, Rosanna, additional, Duga, Stefano, additional, Selmi, Carlo, additional, De Santis, Maria, additional, Malik, Karolina, additional, Maggioni, Giulia, additional, Bicchieri, Marilena, additional, Campagna, Alessia, additional, Tentori, Cristina A., additional, Russo, Antonio, additional, Civilini, Efrem, additional, Allavena, Paola, additional, Piazza, Rocco, additional, Corrao, Giovanni, additional, Sala, Claudia, additional, Termanini, Alberto, additional, Giordano, Laura, additional, Detoma, Paolo, additional, Malabaila, Aurelio, additional, Sala, Luca, additional, Rosso, Stefano, additional, Zanetti, Roberto, additional, Saitta, Claudia, additional, Riva, Elena, additional, Condorelli, Gianluigi, additional, Passamonti, Francesco, additional, Santoro, Armando, additional, Sole, Francesc, additional, Platzbecker, Uwe, additional, Fenaux, Pierre, additional, Bolli, Niccolò, additional, Castellani, Gastone, additional, Kern, Wolfgang, additional, Vassiliou, George S., additional, Haferlach, Torsten, additional, Lucca, Ugo, additional, and Della Porta, Matteo G., additional
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- 2021
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8. Combining Gene Mutation with Transcriptomic Data Improves Outcome Prediction in Myelodysplastic Syndromes
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Sauta, Elisabetta, Zampini, Matteo, Dall'Olio, Daniele, Sala, Claudia, Todisco, Gabriele, Travaglino, Erica, Lanino, Luca, Tentori, Cristina Astrid, Maggioni, Giulia, D'Amico, Saverio, Asti, Gianluca, Dall'Olio, Lorenzo, Mosca, Ettore, Ubezio, Marta, Campagna, Alessia, Riva, Elena, Bicchieri, Marilena, Savevski, Victor, Santoro, Armando, Kordasti, Shahram, Santini, Valeria, Diez-Campelo, Maria, Kubasch, Anne Sophie, Platzbecker, Uwe, Fenaux, Pierre, Zhao, Lin Pierre, Zeidan, Amer M., Haferlach, Torsten, Castellani, Gastone, and Della Porta, Matteo Giovanni
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- 2023
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9. Clinical Relevance of Clonal Hematopoiesis in the Oldest-Old Population
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Rossi, Marianna, primary, Meggendorfer, Manja, additional, Zampini, Matteo, additional, Tettamanti, Mauro, additional, Riva, Emma, additional, Travaglino, Erica, additional, Mandelli, Sara, additional, Galbussera, Alessia Antonella, additional, Saba, Elena, additional, Manes, Nicla, additional, Milanesi, Chiara, additional, Ubezio, Marta, additional, Morabito, Lucio, additional, Chiereghin, Chiara, additional, Peano, Clelia, additional, Solda, Giulia, additional, Asselta, Rosanna, additional, Duga, Stefano, additional, Selmi, Carlo, additional, De Santis, Maria, additional, Malik, Karolina, additional, Maggioni, Giulia, additional, Bicchieri, Marilena, additional, Campagna, Alessia, additional, Civilini, Efrem, additional, Allavena, Paola, additional, Piazza, Rocco, additional, Bersanelli, Matteo, additional, Mosca, Ettore, additional, Corrao, Giovanni, additional, Castellani, Gastone C., additional, Sala, Claudia, additional, Termanini, Alberto, additional, Giordano, Laura, additional, Detoma, Paolo, additional, Malabaila, Aurelio, additional, Sala, Luca, additional, Rosso, Stefano, additional, Zanetti, Roberto, additional, Saitta, Claudia, additional, Condorelli, Gianluigi, additional, Passamonti, Francesco, additional, Santoro, Armando, additional, Sole, Francesc, additional, Platzbecker, Uwe, additional, Fenaux, Pierre, additional, Bolli, Niccolo, additional, Kern, Wolfgang, additional, Vassiliou, George S., additional, Haferlach, Torsten, additional, Lucca, Ugo, additional, and Della Porta, Matteo, additional
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- 2020
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10. Clinical and Genomic-Based Decision Support System to Define the Optimal Timing of Allogeneic Hematopoietic Stem Cell Transplantation in Patients with Myelodysplastic Syndromes (MDS)
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Tentori, Cristina Astrid, Gregorio, Caterina, Robin, Marie, Gagelmann, Nico, Gurnari, Carmelo, Ball, Somedeb, Caballero Berrocal, Juan Carlos, Lanino, Luca, D'Amico, Saverio, Spreafico, Marta, Maggioni, Giulia, Travaglino, Erica, Sauta, Elisabetta, Meggendorfer, Manja, Zhao, Lin-Pierre, Bernardi, Massimo, Di Grazia, Carmen, Vago, Luca, Rivoli, Giulia, Borin, Lorenza Maria, Chiusolo, Patrizia, Giaccone, Luisa, Voso, Maria Teresa, Bewersdorf, Jan Philipp, Nibourel, Olivier, Díaz-Beyá, Marina, Jerez, Andres, Hernandez, Francisca Maria, Velázquez Kennedy, Kyra, Xicoy, Blanca, Ubezio, Marta, Campagna, Alessia, Russo, Antonio, Todisco, Gabriele, Mannina, Daniele, Bramanti, Stefania, Zampini, Matteo, Riva, Elena, Bicchieri, Marilena, Asti, Gianluca, Viviani, Filippo, Buizza, Alessandro, Tinterri, Benedetta, Bacigalupo, Andrea, Rambaldi, Alessandro, Passamonti, Francesco, Ciceri, Fabio, Savevski, Victor, Santoro, Armando, Al Ali, Najla H, Sallman, David A, Sole, Francesc, Garcia-Manero, Guillermo, Germing, Ulrich, Kordasti, Shahram, Santini, Valeria, Sanz, Guillermo, Kern, Wolfgang, Kubasch, Anne Sophie, Platzbecker, Uwe, Diez-Campelo, Maria, Maciejewski, Jaroslaw P., Ades, Lionel, Fenaux, Pierre, Haferlach, Torsten, Zeidan, Amer M., Castellani, Gastone, Komrokji, Rami S., Ieva, Francesca, and Della Porta, Matteo Giovanni
- Abstract
Purpose. Allogeneic hematopoietic stem cell transplantation (HSCT) is the only potentially curative treatment for patients with myelodysplastic syndromes (MDS). Several issues must be considered when evaluating the benefits and risks of HSCT for patients with MDS, with the timing of transplantation during the disease course being a crucial question.
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- 2023
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11. Clinical Text Reports to Stratify Patients Affected with Myeloid Neoplasms Using Natural Language Processing
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Asti, Gianluca, Sauta, Elisabetta, Curti, Nico, Carlini, Gianluca, Dall'Olio, Lorenzo, Lanino, Luca, Maggioni, Giulia, Campagna, Alessia, Ubezio, Marta, Russo, Antonio, Todisco, Gabriele, Tentori, Cristina Astrid, Morandini, Pierandrea, Bicchieri, Marilena, Grondelli, Maria Chiara, Zampini, Matteo, Travaglino, Erica, Savevski, Victor, Derus, Nicolas Riccardo, Dall'Olio, Daniele, Sala, Claudia, Zhao, Lin-Pierre, Santoro, Armando, Kordasti, Shahram, Santini, Valeria, Kubasch, Anne Sophie, Platzbecker, Uwe, Diez-Campelo, Maria, Fenaux, Pierre, Zeidan, Amer M., Haferlach, Torsten, Castellani, Gastone, Della Porta, Matteo Giovanni, and D'Amico, Saverio
- Abstract
Background:The availability of multimodal patient data, such as demographics, clinical, imaging, treatment, quality of life, outcomes and wearables data, as well as genome sequencing, have paved the way for the development of multimodal clinical solutions that introduce personalized or precision medicine. The clinical report is an information layer that contains relevant information about the disease in addition to the patient's point of view. Natural language processing (NLP) is a branch of artificial intelligence (AI) and its pre-trained language models are the key technology for extracting value from this data layer.
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- 2023
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12. Clinical relevance of clonal hematopoiesis in the oldest-old population
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Rossi, Marianna, Meggendorfer, Manja, Zampini, Matteo, Tettamanti, Mauro, Riva, Emma, Travaglino, Erica, Bersanelli, Matteo, Mandelli, Sara, Galbussera, Alessia Antonella, Mosca, Ettore, Saba, Elena, Chiereghin, Chiara, Manes, Nicla, Milanesi, Chiara, Ubezio, Marta, Morabito, Lucio, Peano, Clelia, Soldà, Giulia, Asselta, Rosanna, Duga, Stefano, Selmi, Carlo, De Santis, Maria, Malik, Karolina, Maggioni, Giulia, Bicchieri, Marilena, Campagna, Alessia, Tentori, Cristina A, Russo, Antonio, Civilini, Efrem, Allavena, Paola, Piazza, Rocco, Corrao, Giovanni, Sala, Claudia, Termanini, Alberto, Giordano, Laura, Detoma, Paolo, Malabaila, Aurelio, Sala, Luca, Rosso, Stefano, Zanetti, Roberto, Saitta, Claudia, Riva, Elena, Condorelli, Gianluigi, Passamonti, Francesco, Santoro, Armando, Sole, Francesc, Platzbecker, Uwe, Fenaux, Pierre, Bolli, Niccolo', Castellani, Gastone, Kern, Wolfgang, Vassiliou, George S, Haferlach, Torsten, Lucca, Ugo, and Porta, Matteo G Della
- Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is associated with increased risk of cancers and inflammation-related diseases. This phenomenon becomes very common in oldest-old individuals, in whom the implications of CHIP are not well defined. We performed a mutational screening in 1794 oldest-old individuals enrolled in two population-based studies and investigate the relationships between CHIP and associated pathologies. Clonal mutations were observed in one third of oldest-old individuals and were associated with reduced survival. Mutations in JAK2and splicing genes, multiple mutations (DNMT3A, TET2, ASXL1with additional genetic lesions) and variant allele frequency ≥0.096 had positive predictive value for myeloid neoplasms. Combining mutation profiles with abnormalities in red blood cell indices improved the ability of myeloid neoplasm prediction. On this basis, we defined a predictive model that identifies 3 risk groups with different probabilities of developing myeloid neoplasms. Mutations in DNMT3A, TET2, ASXL1or JAK2(most occurring as single lesion) were associated with coronary heart disease and rheumatoid arthritis. Cytopenia was a common finding in oldest-old population, the underlying cause remaining unexplained in 30% of cases. Among individuals with unexplained cytopenia, the presence of highly-specific mutation patterns was associated with myelodysplastic-like phenotype and a probability of survival comparable to that of myeloid neoplasms. Accordingly, 7.5% of oldest-old subjects with cytopenia had presumptive evidence of myeloid neoplasm. In conclusion, specific mutational patterns define different risk of developing myeloid neoplasms vs.inflammatory-associated diseases in oldest-old population. In individuals with unexplained cytopenia, mutational status may identify those subjects with presumptive evidence of myeloid neoplasms.
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- 2021
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