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362 results on '"Zamò, Alberto"'

7. Frequent mutations of FBXO11 highlight BCL6 as a therapeutic target in Burkitt lymphoma

Author

Pighi, Chiara, Cheong, Taek-Chin, Compagno, Mara, Patrucco, Enrico, Arigoni, Maddalena, Olivero, Martina, Wang, Qi, López, Cristina, Bernhart, Stephan H., Grande, Bruno M., Poggio, Teresa, Langellotto, Fernanda, Bonello, Lisa, Dall'Olio, Riccardo, Martínez-Martín, Sandra, Molinaro, Luca, Francia di Celle, Paola, Whitfield, Jonathan R., Soucek, Laura, Voena, Claudia, Calogero, Raffaele A., Morin, Ryan D., Staudt, Louis M., Siebert, Reiner, Zamò, Alberto, and Chiarle, Roberto

Published
2021
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10. P606: MEASUREMENT OF INTRACLONAL DIVERSIFICATION REFINES THE PROGNOSTIC IMPACT OF IGHV MUTATIONS IN CLL

Author

Vit, Filippo, primary, Bittolo, Tamara, additional, Papotti, Robel, additional, Pozzo, Federico, additional, Zucchetto, Antonella, additional, Tissino, Erika, additional, Zaina, Eva, additional, Catarossi, Ilaria, additional, Laureana, Roberta, additional, Olivieri, Jacopo, additional, Bulian, Pietro, additional, Levato, Luciano, additional, D’arena, Giovanni, additional, Armiento, Daniele, additional, Zamò, Alberto, additional, Leich, Ellen, additional, Rosenwald, Andreas, additional, Arons, Evgeny, additional, J. Kreitman, Robert, additional, Gentile, Massimo, additional, Laurenti, Luca, additional, Zaja, Francesco, additional, Tafuri, Agostino, additional, Chiarenza, Annalisa, additional, Ilaria DEL Principe, Maria, additional, Gattei, Valter, additional, and Bomben, Riccardo, additional

Published
2023
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11. P1208: TRANSCRIPTOMIC PROFILING OF B CELL STATES AND MICROENVIROMENTAL ECOSYSTEMS REFINES THE PROGNOSTIC CLASSIFICATION OF DIFFUSE LARGE B CELL LYMPHOMA

Author

Papotti, Robel, primary, Vit, Filippo, additional, Pozzo, Federico, additional, Bittolo, Tamara, additional, Bettelli, Stefania, additional, Pozzi, Samantha, additional, Maiorana, Antonino, additional, Forti, Elisa, additional, Napoli, Arianna DI, additional, Christina Cox, Maria, additional, Tadmor, Tamar, additional, Mansueto, Giovanna, additional, Musto, Pellegrino, additional, Flenghi, Leonardo, additional, Quintini, Martina, additional, Lalinga, Vittoria, additional, Galimberti, Sara, additional, Donati, Valentina, additional, Spina, Michele, additional, Zamò, Alberto, additional, Rosenwald, Andreas, additional, Bomben, Riccardo, additional, Sacchi, Stefano, additional, and Gattei, Valter, additional

Published
2023
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12. ESMO Consensus Conference on malignant lymphoma: general perspectives and recommendations for the clinical management of the elderly patient with malignant lymphoma

Author

Buske, Christian, Dreyling, Martin, Ferreri, Andrés J M, Fields, Paul, Gaidano, Gianluca, Goede, Valentin, Hutchings, Martin, Ladetto, Marco, Le Gouill, Steven, Luminari, Stefano, Mey, Ulrich, de Nully Brown, Peter, Pfreundschuh, Michael, Pott, Christiane, Schmitz, Norbert, Soubeyran, Pierre, Spina, Michele, Stauder, Reinhard, Balari, Anna Sureda, Trněný, Marek, van Imhoff, Gustaaf, Walewski, Jan, Wedding, Ulrich, Zamò, Alberto, Zucca, Emanuele, Buske, C., Hutchings, M., Ladetto, M., Goede, V., Mey, U., Soubeyran, P., Spina, M., Stauder, R., Trněný, M., Wedding, U., and Fields, P.

Published
2018
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15. Supplementary Figures from slan+ Monocytes and Macrophages Mediate CD20-Dependent B-cell Lymphoma Elimination via ADCC and ADCP

Author

Vermi, William, primary, Micheletti, Alessandra, primary, Finotti, Giulia, primary, Tecchio, Cristina, primary, Calzetti, Federica, primary, Costa, Sara, primary, Bugatti, Mattia, primary, Calza, Stefano, primary, Agostinelli, Claudio, primary, Pileri, Stefano, primary, Balzarini, Piera, primary, Tucci, Alessandra, primary, Rossi, Giuseppe, primary, Furlani, Lara, primary, Todeschini, Giuseppe, primary, Zamò, Alberto, primary, Facchetti, Fabio, primary, Lorenzi, Luisa, primary, Lonardi, Silvia, primary, and Cassatella, Marco A., primary

Published
2023
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16. Data from slan+ Monocytes and Macrophages Mediate CD20-Dependent B-cell Lymphoma Elimination via ADCC and ADCP

Author

Vermi, William, primary, Micheletti, Alessandra, primary, Finotti, Giulia, primary, Tecchio, Cristina, primary, Calzetti, Federica, primary, Costa, Sara, primary, Bugatti, Mattia, primary, Calza, Stefano, primary, Agostinelli, Claudio, primary, Pileri, Stefano, primary, Balzarini, Piera, primary, Tucci, Alessandra, primary, Rossi, Giuseppe, primary, Furlani, Lara, primary, Todeschini, Giuseppe, primary, Zamò, Alberto, primary, Facchetti, Fabio, primary, Lorenzi, Luisa, primary, Lonardi, Silvia, primary, and Cassatella, Marco A., primary

Published
2023
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17. Supplementary Methods, Supplementary Tables 1-2 from Cellular Senescence Markers p16INK4a and p21CIP1/WAF Are Predictors of Hodgkin Lymphoma Outcome

Author

Caliò, Anna, primary, Zamò, Alberto, primary, Ponzoni, Maurilio, primary, Zanolin, Maria Elisabetta, primary, Ferreri, Andrés J.M., primary, Pedron, Serena, primary, Montagna, Licia, primary, Parolini, Claudia, primary, Fraifeld, Vadim E., primary, Wolfson, Marina, primary, Yanai, Hagai, primary, Pizzolo, Giovanni, primary, Doglioni, Claudio, primary, Vinante, Fabrizio, primary, and Chilosi, Marco, primary

Published
2023
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18. Supplementary Tables from slan+ Monocytes and Macrophages Mediate CD20-Dependent B-cell Lymphoma Elimination via ADCC and ADCP

Author

Vermi, William, primary, Micheletti, Alessandra, primary, Finotti, Giulia, primary, Tecchio, Cristina, primary, Calzetti, Federica, primary, Costa, Sara, primary, Bugatti, Mattia, primary, Calza, Stefano, primary, Agostinelli, Claudio, primary, Pileri, Stefano, primary, Balzarini, Piera, primary, Tucci, Alessandra, primary, Rossi, Giuseppe, primary, Furlani, Lara, primary, Todeschini, Giuseppe, primary, Zamò, Alberto, primary, Facchetti, Fabio, primary, Lorenzi, Luisa, primary, Lonardi, Silvia, primary, and Cassatella, Marco A., primary

Published
2023
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21. Supplementary Figure 1 from Cellular Senescence Markers p16INK4a and p21CIP1/WAF Are Predictors of Hodgkin Lymphoma Outcome

Author

Caliò, Anna, primary, Zamò, Alberto, primary, Ponzoni, Maurilio, primary, Zanolin, Maria Elisabetta, primary, Ferreri, Andrés J.M., primary, Pedron, Serena, primary, Montagna, Licia, primary, Parolini, Claudia, primary, Fraifeld, Vadim E., primary, Wolfson, Marina, primary, Yanai, Hagai, primary, Pizzolo, Giovanni, primary, Doglioni, Claudio, primary, Vinante, Fabrizio, primary, and Chilosi, Marco, primary

Published
2023
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23. Targeted panel sequencing in the routine diagnosis of mature T- and NK-cell lymphomas: report of 128 cases from two German reference centers.

Author

Böck, Julia, Maurus, Katja, Gerhard-Hartmann, Elena, Brändlein, Stephanie, Kurz, Katrin S., Ott, German, Anagnostopoulos, Ioannis, Rosenwald, Andreas, and Zamò, Alberto

Subjects
LYMPHOMAS, T-cell lymphoma, T cells, PROGNOSIS, FLOW cytometry
Abstract

Diagnosing any of the more than 30 types of T-cell lymphomas is considered a challenging task for many pathologists and currently requires morphological expertise as well as the integration of clinical data, immunophenotype, flow cytometry and clonality analyses. Even considering all available information, some margin of doubt might remain using the current diagnostic procedures. In recent times, the genetic landscape of most T-cell lymphomas has been elucidated, showing a number of diagnostically relevant mutations. In addition, recent data indicate that some of these genetic alterations might bear prognostic and predictive value. Extensive genetic analyses, such as whole exome or large panel sequencing are still expensive and time consuming, therefore limiting their application in routine diagnostic. We therefore devoted our effort to develop a lean approach for genetic analysis of T-cell lymphomas, focusing on maximum efficiency rather than exhaustively covering all possible targets. Here we report the results generated with our small amplicon-based panel that could be used routinely on paraffin-embedded and even decalcified samples, on a single sample basis in parallel with other NGS-panels used in our routine diagnostic lab, in a relatively short time and with limited costs. We tested 128 available samples from two German reference centers as part of our routine work up (among which 116 T-cell lymphomas), which is the largest routine diagnostic series reported to date. Our results showed that this assay had a very high rate of technical success (97%) and could detect mutations in the majority (79%) of tested T-cell lymphoma samples. [ABSTRACT FROM AUTHOR]

Published
2023
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24. DNA methylation profiling identifies two splenic marginal zone lymphoma subgroups with different clinical and genetic features

Author

Arribas, Alberto J., Rinaldi, Andrea, Mensah, Afua A., Kwee, Ivo, Cascione, Luciano, Robles, Eloy F., Martinez-Climent, Jose A., Oscier, David, Arcaini, Luca, Baldini, Luca, Marasca, Roberto, Thieblemont, Catherine, Briere, Josette, Forconi, Francesco, Zamò, Alberto, Bonifacio, Massimiliano, Mollejo, Manuela, Facchetti, Fabio, Dirnhofer, Stephan, Ponzoni, Maurilio, Bhagat, Govind, Piris, Miguel A., Gaidano, Gianluca, Zucca, Emanuele, Rossi, Davide, and Bertoni, Francesco

Published
2015
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25. The impact of sensitive KIT D816V detection on recognition of Indolent Systemic Mastocytosis

Author

De Matteis, Giovanna, Zanotti, Roberta, Colarossi, Sabrina, De Benedittis, Caterina, Garcia-Montero, Andrès, Bonifacio, Massimiliano, Sartori, Marta, Aprili, Fiorenza, Caruso, Beatrice, Paviati, Elisa, Carli, Giuseppe, Perbellini, Omar, Zamò, Alberto, Bonadonna, Patrizia, Pizzolo, Giovanni, Guidi, Giancesare, Martinelli, Giovanni, and Soverini, Simona

Published
2015
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27. Nonaggressive systemic mastocytosis (SM) without skin lesions associated with insect-induced anaphylaxis shows unique features versus other indolent SM

Author

Álvarez-Twose, Iván, Zanotti, Roberta, González-de-Olano, David, Bonadonna, Patrizia, Vega, Arantza, Matito, Almudena, Sánchez-Muñoz, Laura, Morgado, José Mário, Perbellini, Omar, García-Montero, Andrés, De Matteis, Giovanna, Teodósio, Cristina, Rossini, Maurizio, Jara-Acevedo, María, Schena, Donatella, Mayado, Andrea, Zamò, Alberto, Mollejo, Manuela, Sánchez-López, Paula, Cabañes, Nieves, Orfao, Alberto, and Escribano, Luis

Published
2014
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29. Case Report: Sequential Development of Three Mature Lymphoid Neoplasms in a Single Patient: Clonal Relationship and Molecular Insights

Author

Salvetti, Chiara, Vitale, Candida, Griggio, Valentina, Drandi, Daniela, Jones, Rebecca, Bonello, Lisa, Bomben, Riccardo, Bragoni, Alberto, Bagnara, Davide, Fais, Franco, Gattei, Valter, Cavallo, Federica, Zamò, Alberto, and Coscia, Marta

Subjects
Hodgkin lymphoma, IGHV genes, Richter’s syndrome, chronic lymphocytic leukemia, monoclonal B-cell lymphocytosis, Cancer Research, Oncology
Abstract

Two main variants of Richter syndrome (RS) are recognized, namely, the diffuse large B-cell lymphoma (DLBCL) and the Hodgkin’s lymphoma (HL) variant. Clonal relationship, defined as an identity of the immunoglobulin heavy chain variable (IGHV) region sequence between chronic lymphocytic leukemia (CLL) and RS clones, characterizes patients with a poor prognosis. Due to method sensitivity, this categorization is performed without considering the possibility of small-size ancillary clones, sharing the same phenotype with the preexisting predominant CLL clone, but with different IGHV rearrangements. Here we describe and molecularly profile the peculiar case of a patient with a CLL-like monoclonal B-cell lymphocytosis (MBL), who sequentially developed a DLBCL, which occurred concomitantly to progression of MBL to CLL, and a subsequent HL. Based on standard IGHV clonality analysis, DLBCL was considered clonally unrelated to the concomitantly expanded CLL clone and treated as a de novo lymphoma, achieving a persistent response. Three years later, the patient further developed a clonally unrelated HL, refractory to bendamustine, which was successfully treated with brentuximab vedotin and radiotherapy, and later with pembrolizumab. We retrospectively performed additional molecular testing, by applying next-generation sequencing (NGS) of immunoglobulin repertoire (Ig-rep) techniques and a more sensitive allele-specific oligonucleotide-droplet digital PCR (ASO-ddPCR) strategy, in order to quantitatively investigate the presence of the rearranged IGHV genes in tumor specimens collected during the disease course. In this highly complex case, the application of modern and sensitive molecular technologies uncovered that DLBCL, initially considered as a de novo lymphoma, was instead the result of the transformation of a preexisting ancillary B-cell clone, which was already present at the time of first MBL diagnosis. A similar approach was also applied on the HL sample, showing its clonal unrelatedness to the previous MBL and DLBCL.

Published
2022

30. Two main genetic pathways lead to the transformation of chronic lymphocytic leukemia to Richter syndrome

Author

Chigrinova, Ekaterina, Rinaldi, Andrea, Kwee, Ivo, Rossi, Davide, Rancoita, Paola M.V., Strefford, Jonathan C., Oscier, David, Stamatopoulos, Kostas, Papadaki, Theodora, Berger, Francoise, Young, Ken H., Murray, Fiona, Rosenquist, Richard, Greiner, Timothy C., Chan, Wing C., Orlandi, Ester M., Lucioni, Marco, Marasca, Roberto, Inghirami, Giorgio, Ladetto, Marco, Forconi, Francesco, Cogliatti, Sergio, Votavova, Hana, Swerdlow, Steven H., Stilgenbauer, Stephan, Piris, Miguel A., Matolcsy, Andras, Spagnolo, Dominic, Nikitin, Eugene, Zamò, Alberto, Gattei, Valter, Bhagat, Govind, Ott, German, Zucca, Emanuele, Gaidano, Gianluca, and Bertoni, Francesco

Published
2013
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31. Deep Neural Networks and Machine Learning Radiomics Modelling for Prediction of Relapse in Mantle Cell Lymphoma

Author

Lisson, Catharina Silvia, Lisson, Christoph Gerhard, Mezger, Marc Fabian, Wolf, Daniel, Schmidt, Stefan Andreas, Thaiss, Wolfgang M., Tausch, Eugen, Beer, Ambros J., Stilgenbauer, Stephan, Beer, Meinrad, Goetz, Michael, and Zamò, Alberto

Subjects
personalised oncology, Cancer Research, radiomics, machine learning, deep learning, deep neural networks, precision imaging, Deep Learning, Oncology, Machine learning, ddc:000, Diagnostic imaging, ddc:610, DDC 000 / Computer science, information & general works, DDC 610 / Medicine & health, Maschinelles Lernen
Abstract

Simple Summary Mantle cell lymphoma (MCL) is an aggressive lymphoid tumour with a poor prognosis. There exist no routine biomarkers for the early prediction of relapse. Our study compared the potential of radiomics-based machine learning and 3D deep learning models as non-invasive biomarkers to risk-stratify MCL patients, thus promoting precision imaging in clinical oncology. Abstract Mantle cell lymphoma (MCL) is a rare lymphoid malignancy with a poor prognosis characterised by frequent relapse and short durations of treatment response. Most patients present with aggressive disease, but there exist indolent subtypes without the need for immediate intervention. The very heterogeneous behaviour of MCL is genetically characterised by the translocation t(11;14)(q13;q32), leading to Cyclin D1 overexpression with distinct clinical and biological characteristics and outcomes. There is still an unfulfilled need for precise MCL prognostication in real-time. Machine learning and deep learning neural networks are rapidly advancing technologies with promising results in numerous fields of application. This study develops and compares the performance of deep learning (DL) algorithms and radiomics-based machine learning (ML) models to predict MCL relapse on baseline CT scans. Five classification algorithms were used, including three deep learning models (3D SEResNet50, 3D DenseNet, and an optimised 3D CNN) and two machine learning models based on K-nearest Neighbor (KNN) and Random Forest (RF). The best performing method, our optimised 3D CNN, predicted MCL relapse with a 70% accuracy, better than the 3D SEResNet50 (62%) and the 3D DenseNet (59%). The second-best performing method was the KNN-based machine learning model (64%) after principal component analysis for improved accuracy. Our optimised CNN developed by ourselves correctly predicted MCL relapse in 70% of the patients on baseline CT imaging. Once prospectively tested in clinical trials with a larger sample size, our proposed 3D deep learning model could facilitate clinical management by precision imaging in MCL., publishedVersion

Published
2022

34. Elastin MIcrofibriL INterfacer1 (EMILIN‐1) is an alternative prosurvival VLA‐4 ligand in chronic lymphocytic leukemia

Author

Tissino, Erika, primary, Pivetta, Eliana, additional, Capuano, Alessandra, additional, Capasso, Guido, additional, Bomben, Riccardo, additional, Caldana, Chiara, additional, Rossi, Francesca Maria, additional, Pozzo, Federico, additional, Benedetti, Dania, additional, Boldorini, Renzo, additional, Gaidano, Gianluca, additional, Rossi, Davide, additional, Zamò, Alberto, additional, Hartmann, Tanja Nicole, additional, Doliana, Roberto, additional, Colombatti, Alfonso, additional, Gattei, Valter, additional, Spessotto, Paola, additional, and Zucchetto, Antonella, additional

Published
2021
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36. 9p24.1 alterations and programmed cell death 1 ligand 1 expression in early stage unfavourable classical Hodgkin lymphoma: an analysis from the German Hodgkin Study Group NIVAHL trial

Author

Gerhard‐Hartmann, Elena, primary, Goergen, Helen, additional, Bröckelmann, Paul J., additional, Mottok, Anja, additional, Steinmüller, Tabea, additional, Grund, Johanna, additional, Zamò, Alberto, additional, Ben‐Neriah, Susana, additional, Sasse, Stephanie, additional, Borchmann, Sven, additional, Fuchs, Michael, additional, Borchmann, Peter, additional, Reinke, Sarah, additional, Engert, Andreas, additional, Veldman, Johanna, additional, Diepstra, Arjan, additional, Klapper, Wolfram, additional, and Rosenwald, Andreas, additional

Published
2021
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39. B-cell receptor signaling and genetic lesions in TP53 and CDKN2A/CDKN2B cooperate in Richter transformation

Author

Chakraborty, Supriya, Martines, Claudio, Porro, Fabiola, Fortunati, Ilaria, Bonato, Alice, Dimishkovska, Marija, Piazza, Silvano, Yadav, Brijesh S, Innocenti, Idanna, Fazio, Rosa, Vaisitti, Tiziana, Deaglio, Silvia, Zamò, Alberto, Dimovski, Aleksandar J, Laurenti, Luca, Efremov, Dimitar G, Laurenti, Luca (ORCID:0000-0002-8327-1396), Chakraborty, Supriya, Martines, Claudio, Porro, Fabiola, Fortunati, Ilaria, Bonato, Alice, Dimishkovska, Marija, Piazza, Silvano, Yadav, Brijesh S, Innocenti, Idanna, Fazio, Rosa, Vaisitti, Tiziana, Deaglio, Silvia, Zamò, Alberto, Dimovski, Aleksandar J, Laurenti, Luca, Efremov, Dimitar G, and Laurenti, Luca (ORCID:0000-0002-8327-1396)

Abstract

n/a

Published
2021

41. B-cell receptor signaling and genetic lesions in TP53 and CDKN2A/CDKN2B cooperate in Richter transformation

Author

Chakraborty, Supriya, primary, Martines, Claudio, additional, Porro, Fabiola, additional, Fortunati, Ilaria, additional, Bonato, Alice, additional, Dimishkovska, Marija, additional, Piazza, Silvano, additional, Yadav, Brijesh S., additional, Innocenti, Idanna, additional, Fazio, Rosa, additional, Vaisitti, Tiziana, additional, Deaglio, Silvia, additional, Zamò, Alberto, additional, Dimovski, Aleksandar J., additional, Laurenti, Luca, additional, and Efremov, Dimitar G., additional

Published
2021
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43. Droplet Digital PCR Assay for MYD88L265P

Author

Lo Schirico, Mariella, Ferrante, Martina, Dogliotti, Irene, Zamò, Alberto, Ferrero, Bruno, Bertuzzo, Davide, Benevolo, Giulia, Omedè, Paola, Cavallo, Federica, Ladetto, Marco, Boccadoro, Mario, Drandi, Daniela, and Ferrero, Simone

Published
2020

46. KMT2D mutations and TP53 disruptions are poor prognostic biomarkers in mantle cell lymphoma receiving high-dose therapy:a FIL study

Author

Ferrero, Simone, Rossi, Davide, Rinaldi, Andrea, Bruscaggin, Alessio, Spina, Valeria, Eskelund, Christian W., Evangelista, Andrea, Moia, Riccardo, Kwee, Ivo, Dahl, Christina, Di Rocco, Alice, Stefoni, Vittorio, Diop, Fary, Favini, Chiara, Ghione, Paola, Mahmoud, Abdurraouf Mokhtar, Schipani, Mattia, Kolstad, Arne, Barbero, Daniela, Novero, Domenico, Paulli, Marco, Zamò, Alberto, Jerkeman, Mats, Gomez Da Silva, Maria, Santoro, Armando, Molinari, Annalia, Ferreri, Andres, Grønbæk, Kirsten, Piccin, Andrea, Cortelazzo, Sergio, Bertoni, Francesco, Ladetto, Marco, Gaidano, Gianluca, Ferrero, Simone, Rossi, Davide, Rinaldi, Andrea, Bruscaggin, Alessio, Spina, Valeria, Eskelund, Christian W., Evangelista, Andrea, Moia, Riccardo, Kwee, Ivo, Dahl, Christina, Di Rocco, Alice, Stefoni, Vittorio, Diop, Fary, Favini, Chiara, Ghione, Paola, Mahmoud, Abdurraouf Mokhtar, Schipani, Mattia, Kolstad, Arne, Barbero, Daniela, Novero, Domenico, Paulli, Marco, Zamò, Alberto, Jerkeman, Mats, Gomez Da Silva, Maria, Santoro, Armando, Molinari, Annalia, Ferreri, Andres, Grønbæk, Kirsten, Piccin, Andrea, Cortelazzo, Sergio, Bertoni, Francesco, Ladetto, Marco, and Gaidano, Gianluca

Published
2020

47. Combined Genetic Lesions in TP53 and CDKN2A/CDKN2B Drive B Cell Receptor-Dependent/Costimulatory Signal-Independent Proliferation in Richter Syndrome

Author

Chakraborty, Supriya, Martines, Claudio, Porro, Fabiola, Fortunati, Ilaria, Bonato, Alice, Dimishkovska, Marija, Yadav, Brijesh, Innocenti, Idanna, Fazio, Rosa, Vaisitti, Tizianna, Deaglio, Silvia, Zamò, Alberto, Dimovski, Aleksandar, Laurenti, Luca, Efremov, Dimitar G, Laurenti, Luca (ORCID:0000-0002-8327-1396), Chakraborty, Supriya, Martines, Claudio, Porro, Fabiola, Fortunati, Ilaria, Bonato, Alice, Dimishkovska, Marija, Yadav, Brijesh, Innocenti, Idanna, Fazio, Rosa, Vaisitti, Tizianna, Deaglio, Silvia, Zamò, Alberto, Dimovski, Aleksandar, Laurenti, Luca, Efremov, Dimitar G, and Laurenti, Luca (ORCID:0000-0002-8327-1396)

Abstract

n/a

Published
2020

49. Combined Genetic Lesions in TP53 and CDKN2A/CDKN2B Drive B Cell Receptor-Dependent/Costimulatory Signal-Independent Proliferation in Richter Syndrome

Author

Chakraborty, Supriya, primary, Martines, Claudio, additional, Porro, Fabiola, additional, Fortunati, Ilaria, additional, Bonato, Alice, additional, Dimishkovska, Marija, additional, Yadav, Brijesh, additional, Innocenti, Idanna, additional, Fazio, Rosa, additional, Vaisitti, Tizianna, additional, Deaglio, Silvia, additional, Zamò, Alberto, additional, Dimovski, Aleksandar, additional, Laurenti, Luca, additional, and Efremov, Dimitar G, additional

Published
2020
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