Doctor of Philosophy, Universita Degli Studi Di Milano (2016)
Master of Science, Unlisted School (2012)
Bachelor of Science, Universita Degli Studi Di Napoli (2010)
Mass Cytometry of Hematopoietic Cells.
Methods in molecular biology (Clifton, N.J.)
2021; 2185: 65–76
Mass cytometry is now a well-established method that enables the measurement of 40-50 markers (generally proteins but transcripts are also possible) in single cells. Analytes are detected via antibodies tagged with heavy metal and detected by using a time-of-flight mass spectrometer. Over the past decade, mass cytometry has proven to be a valuable method for immunophenotyping hematopoietic cells with remarkable precision in both healthy and malignant scenarios. This chapter explains in detail how to profile hematopoietic cells by using this high-dimensional multiplexed approach.
View details for DOI 10.1007/978-1-0716-0810-4_5
View details for PubMedID 33165843
- Glucocorticoids-Resistant Leukemic B-Cells Undergo a Phenotypic Change That Increases Sensitivity to SRC/ABL Inhibition AMER SOC HEMATOLOGY. 2018
Single-cell developmental classification of B cell precursor acute lymphoblastic leukemia at diagnosis reveals predictors of relapse.
2018; 24 (4): 474–83
Insight into the cancer cell populations that are responsible for relapsed disease is needed to improve outcomes. Here we report a single-cell-based study of B cell precursor acute lymphoblastic leukemia at diagnosis that reveals hidden developmentally dependent cell signaling states that are uniquely associated with relapse. By using mass cytometry we simultaneously quantified 35 proteins involved in B cell development in 60 primary diagnostic samples. Each leukemia cell was then matched to its nearest healthy B cell population by a developmental classifier that operated at the single-cell level. Machine learning identified six features of expanded leukemic populations that were sufficient to predict patient relapse at diagnosis. These features implicated the pro-BII subpopulation of B cells with activated mTOR signaling, and the pre-BI subpopulation of B cells with activated and unresponsive pre-B cell receptor signaling, to be associated with relapse. This model, termed 'developmentally dependent predictor of relapse' (DDPR), significantly improves currently established risk stratification methods. DDPR features exist at diagnosis and persist at relapse. By leveraging a data-driven approach, we demonstrate the predictive value of single-cell 'omics' for patient stratification in a translational setting and provide a framework for its application to human cancer.
View details for PubMedID 29505032
SRC/ABL inhibition disrupts CRLF2-driven signaling to induce cell death in B-cell acute lymphoblastic leukemia.
2018; 9 (33): 22872–85
Children with B-cell precursor acute lymphoblastic leukemia (BCP-ALL) overexpressing the CRLF2 gene (hiCRLF2) have poor prognosis. CRLF2 protein overexpression leads to activated JAK/STAT signaling and trials are underway using JAK inhibitors to overcome treatment failure. Pre-clinical studies indicated limited efficacy of single JAK inhibitors, thus additional pathways must be targeted in hiCRLF2 cells. To identify additional activated networks, we used single-cell mass cytometry to examine 15 BCP-ALL primary patient samples. We uncovered a coordinated signaling network downstream of CRLF2 characterized by co-activation of JAK/STAT, PI3K, and CREB pathways. This CRLF2-driven network could be more effectively disrupted by SRC/ABL inhibition than single-agent JAK or PI3K inhibition, and this could be demonstrated even in primary minimal residual disease (MRD) cells. Our study suggests SCR/ABL inhibition as effective in disrupting the cooperative functional networks present in hiCRLF2 BCP-ALL patients, supporting further investigation of this strategy in pre-clinical studies.
View details for PubMedID 29796158
Single-cell mass cytometry and machine learning predict relapse in childhood leukemia.
Molecular & cellular oncology
2018; 5 (5): e1472057
Improved insight into cancer cell populations responsible for treatment failure will lead to better outcomes for patients. We herein highlight a single-cell study of B-cell precursor acute lymphoblastic leukemia (BCP-ALL) at diagnosis that revealed hidden developmentally dependent cell signaling states uniquely associated with relapse.
View details for PubMedID 30263942
The histone deacetylase inhibitor givinostat (ITF2357) exhibits potent anti-tumor activity against CRLF2-rearranged BCP-ALL.
Leukemias bearing CRLF2 and JAK2 gene alterations are characterized by aberrant JAK/STAT signaling and poor prognosis. The HDAC inhibitor givinostat/ITF2357 has been shown to exert anti-neoplastic activity against both systemic juvenile idiopathic arthritis and myeloproliferative neoplasms through inhibition of the JAK/STAT pathway. These findings led us to hypothesize that givinostat might also act against CRLF2-rearranged BCP-ALL, which lack effective therapies. Here, we found that givinostat inhibited proliferation and induced apoptosis of BCP-ALL CRLF2-rearranged cell lines, positive for exon 16 JAK2 mutations. Likewise, givinostat killed primary cells, but not their normal hematopoietic counterparts, from patients carrying CRLF2 rearrangements. At low doses, givinostat downregulated the expression of genes belonging to the JAK/STAT pathway and inhibited STAT5 phosphorylation. In vivo, givinostat significantly reduced engraftment of human blasts in patient-derived xenograft models of CRLF2-positive BCP-ALL. Importantly, givinostat killed ruxolitinib-resistant cells and potentiated the effect of current chemotherapy. Thus, givinostat in combination with conventional chemotherapy may represent an effective therapeutic option for these difficult-to-treat subsets of ALL. Lastly, the selective killing of cancer cells by givinostat may allow the design of reduced intensity regimens in CRLF2-rearranged Down syndrome-associated BCP-ALL patients with an overall benefit in terms of both toxicity and related complications.Leukemia advance online publication, 21 April 2017; doi:10.1038/leu.2017.93.
View details for DOI 10.1038/leu.2017.93
View details for PubMedID 28331226
Peripheral blood cells from children with RASopathies show enhanced spontaneous colonies growth in vitro and hyperactive RAS signaling
BLOOD CANCER JOURNAL
Germline mutations in genes coding for molecules involved in the RAS/RAF/MEK/ERK pathway are the hallmarks of a newly classified family of autosomal dominant syndromes termed RASopathies. Myeloproliferative disorders (MPDs), in particular, juvenile myelomonocytic leukemia, can lead to potentially severe complications in children with Noonan syndrome (NS). We studied 27 children with NS or other RASopathies and 35 age-matched children as control subjects. Peripheral blood (PB) cells from these patients were studied for in vitro colony-forming units (CFUs) activity, as well as for intracellular phosphosignaling. Higher spontaneous growth of both burst-forming units-erythroid (BFU-E) and CFU-granulocyte/macrophage (CFU-GM) colonies from RAS-mutated patients were observed as compared with control subjects. We also observed a significantly higher amount of GM-colony-stimulating factor-induced p-ERK in children with RASopathies. Our findings demonstrate for the first time that PB cells isolated from children suffering from NS or other RASopathies without MPD display enhanced BFU-E and CFU-GM colony formation in vitro. The biological significance of these findings clearly awaits further studies. Collectively, our data provide a basis for further investigating of only partially characterized hematological alterations present in children suffering from RASopathies, and may provide new markers for progression toward malignant MPD in these patients.
View details for DOI 10.1038/bcj.2015.52
View details for Web of Science ID 000358877500004
View details for PubMedID 26186557
View details for PubMedCentralID PMC4526778
- Fine tuning of surface CRLF2 expression and its associated signaling profile in childhood B-cell precursor acute lymphoblastic leukemia HAEMATOLOGICA 2015; 100 (6): E229-E232