Marta Lionetti

Dr. Marta Lionetti

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
10 June 2015 in Oncotarget
Verified
Journal Article
Open access
PDF file
MLMarta Lionetti
Marta Lionetti
MBMarzia Barbieri
Marzia Barbieri
KTKatia Todoerti
Katia Todoerti
Luca AgnelliLuca Agnelli
Luca Agnelli
SMSimona Marzorati
Simona Marzorati
Antonino NeriAntonino Neri
Antonino Neri
Multiple myeloma (MM) is a clinically and genetically heterogeneous plasma cell (PC) malignancy. Whole-exome sequencing has identified therapeutically targetable mutations such as those in the mitogen-activated protein kinase (MAPK) pathway, which are the most prevalent MM mutations. We used deep sequencing to screen 167 representative patients with PC dyscrasias [132 with MM, 24 with primary PC leukemia (pPCL) and 11 with secondary PC leukemia (sPCL)] for mutations in BRAF, NRAS and KRAS, which were respectively found in 12%, 23.9% and 29.3% of cases. Overall, the MAPK pathway was affected in 57.5% of the patients (63.6% of those with sPCL, 59.8% of those with MM, and 41.7% of those with pPCL). The majority of BRAF variants were comparably expressed at transcript level. Additionally, gene expression profiling indicated the MAPK pathway is activated in mutated patients. Finally, we found that vemurafenib inhibition of BRAF activation in mutated U266 cells affected the expression of genes known to be associated with MM. Our data confirm and extend previous published evidence that MAPK pathway activation is recurrent in myeloma; the finding that it is mediated by BRAF mutations in a significant fraction of patients has potentially immediate clinical implications.

20 July 2015 in Oncotarget
Verified
Journal Article
Open access
PDF file
MLMarta Lionetti
Marta Lionetti
MBMarzia Barbieri
Marzia Barbieri
KTKatia Todoerti
Katia Todoerti
Luca AgnelliLuca Agnelli
Luca Agnelli
SFSonia Fabris
Sonia Fabris
Antonino NeriAntonino Neri
Antonino Neri
// <![CDATA[ $('.header-date').hide();$('#titleAuthors').hide();$('#abstractHeader').hide(); // ]]> Marta Lionetti1, 2 *, Marzia Barbieri2 *, Katia Todoerti3, Luca Agnelli1, 2, Sonia Fabris2, Giovanni Tonon4, Simona Segalla4, Ingrid Cifola5, Eva Pinatel5, Pierfrancesco Tassone6, Pellegrino Musto3, Luca Baldini1, 2 and Antonino Neri1, 2 1Department of Clinical Sciences and Community Health, University of Milano, Milan, Italy 2Hematology Unit, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy 3Laboratory of Pre-Clinical and Translational Research, IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture (PZ), Italy 4Functional Genomics of Cancer Unit, Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy 5Institute for Biomedical Technologies, National Research Council, Milan, Italy 6Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy *These authors have contributed equally to this work Correspondence to: Antonino Neri, e-mail: antonino.neri@unimi.it Marta Lionetti, e-mail: marta.lionetti@unimi.it Keywords: multiple myeloma, plasma cell leukemia, DIS3, next-generation sequencing Received: May 08, 2015 Accepted: July 06, 2015 Published: July 20, 2015 ABSTRACT DIS3 is a catalytic subunit of the human exosome complex, containing exonucleolytic (RNB) and endonucleolytic (PIN) domains, recently found mutated in multiple myeloma (MM), a clinically and genetically heterogeneous form of plasma cell (PC) dyscrasia. We analyzed by next-generation sequencing (NGS) the DIS3 PIN and RNB domains in purified bone marrow PCs from 164 representative patients, including 130 cases with MM, 24 with primary PC leukemia and 10 with secondary PC leukemia. DIS3 mutations were found respectively in 18.5%, 25% and 30% of cases. Identified variants were predominantly missense mutations localized in the RNB domain, and were often detected at low allele frequency. DIS3 mutations were preferentially carried by IGH-translocated/nonhyperdiploid patients. Sequential analysis at diagnosis and relapse in a subset of cases highlighted some instances of increasing DIS3 mutation burden during disease progression. NGS also revealed that the majority of DIS3 variants in mutated cases were comparably detectable at transcriptional level. Furthermore, gene expression profiling analysis in DIS3-mutated patients identified a transcriptional signature suggestive for impaired RNA exosome function. In conclusion, these data further support the pathological relevance of DIS3 mutations in plasma cell dyscrasias and suggest that DIS3 may represent a potential tumor suppressor gene in such disorders.

8 February 2016 in Oncotarget
Verified
Journal Article
Open access
PDF file
MLMarta Lionetti
Marta Lionetti
MBMarzia Barbieri
Marzia Barbieri
MMMartina Manzoni
Martina Manzoni
SFSonia Fabris
Sonia Fabris
CBCecilia Bandini
Cecilia Bandini
Antonino NeriAntonino Neri
Antonino Neri
Molecular spectrum of TP53 mutations in plasma cell dyscrasias by next generation sequencing: an Italian cohort study and overview of the literature Molecular spectrum of TP53 mutations in plasma cell dyscrasias by next generation sequencing: an Italian cohort study and overview of the literature

12 October 2015 in British Journal of Haematology
Verified
Journal Article
Open access
PDF file
MBMarzia Barbieri
Marzia Barbieri
MMMartina Manzoni
Martina Manzoni
SFSonia Fabris
Sonia Fabris
GCGabriella Ciceri
Gabriella Ciceri
KTKatia Todoerti
Katia Todoerti
MLMarta Lionetti
Marta Lionetti

20 January 2026 in Journal of Clinical Oncology
Verified
Journal Article
Closed access
FMFrancesco Maura
Francesco Maura
PBP. Leif Bergsagel
P. Leif Bergsagel
BZBachisio Ziccheddu
Bachisio Ziccheddu
SKShaji Kumar
Shaji Kumar
KMKylee Maclachlan
Kylee Maclachlan
SRS. Vincent Rajkumar
S. Vincent Rajkumar
Multiple myeloma (MM) is consistently preceded by monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). While these precursor conditions are asymptomatic, they are not entirely benign and carry a lifelong risk of progression to MM. Unlike other cancers defined by pathology, malignant transformation from MGUS or SMM to MM has so far relied on demonstration of clinical end-organ damage as morphology and cytogenetics cannot reliably distinguish them. In this study, using genomic data from 374 patients with MGUS or SMM (277 training, 97 validation), to our knowledge, we demonstrate for the first time the ability to identify malignant transformation in MGUS and SMM. We introduce the concept of genomic MM and genomic MGUS to differentiate the subsets of MGUS and SMM that are biologically malignant with genomic features indistinguishable from MM from the subset that is premalignant and unlikely to progress to malignancy. Importantly, we find that most SMM has biological features of malignant transformation indistinguishable from MM. As expected, this subset that we consider having genomic MM is associated with a high risk of progression to MM although some patients remained progression-free beyond 5 years. Conversely, 60% of MGUS and 10% of SMM have no evidence of malignant transformation (genomic MGUS), with no progression during follow-up. Integration of genomic features with the 2/20/20 International Myeloma Working Group model significantly improved the prediction of progression among genomic MM. These findings support the use of genomic criteria to refine the classification and the risk stratification in myeloma precursor conditions.

26 May 2017 in Expert Review of Molecular Diagnostics
Verified
Journal Article
Closed access
MLMarta Lionetti
Marta Lionetti
Antonino NeriAntonino Neri
Antonino Neri
Introduction: Multiple myeloma (MM) is a bone marrow plasma cell malignancy characterized by wide clinical presentation and heterogeneous genetic background. Despite the recent advances in patient outcome, new markers are needed for improving risk prediction and choice of a more appropriate therapy. In this perspective, the genetic makeup of MM cells is being better characterized by means of next-generation sequencing (NGS) technologies. Areas covered: The authors discuss how the application of NGS has improved our knowledge of MM biology by discovering its mutational landscape, identifying the operating mutational processes, and revealing the clonal composition of tumors and the dynamics of its evolution; and how this can have important clinical implications in terms of prognostication, therapeutic choices, and response assessment. Finally, the authors provide a quick outlook of future applications of these technologies that could help in the management of the disease in the next years. Expert commentary: The clinical exploitation of NGS-based characterization of MM patients has as its ultimate goal the precision medicine. Considerable obstacles to its implementation in myeloma management exist; therefore, the concerted effort of all involved stakeholders is mandatory to ensure that it will become a reality in routine clinical practice in the next future.