Translational oncology

Luca Mazzarella
Clinician Scientist
[email protected] | |
Telephone | +39 02 94375111 |
Location | Building 13 Floor 2nd Via Adamello 16, Milano |
We believe that cancer can be understood and managed only by a multi-layered approach where methods originating from multiple disciplines are integrated. These include laboratory techniques, high-throughput sequencing, clinical trial design, social sciences, with a heavy reliance on computational analyses.
We are creating a group of enthusiastic people with variegated backgrounds to foster cross-fertilization from different branches of knowledge, to provide comprehensive answers to clinically and biologically relevant questions. We participate in several collaborations within IEO and national and international groups.
Areas of specific interest:
- Metabolism and cancer. We study molecular mechanisms mediating the effect of diet on cancer, in particular on cancer stem cells and the immune environment.
- Chromatin modifiers as therapeutic targets in cancer and immunity. We study the role of histone modifications in hematopoietic and immune cells, and how they can be pharmacologically targeted for modulating the immune response.
- Cancer genomics and biomarker discovery. We perform translational studies in clinical trials to identify biomarkers for response prediction, diagnosis and genetic risk.
- Bioinformatic tools for clinical genomics. We develop tools for the management of sequencing data for clinical trial design and diagnosis.
- Quantitative social studies applied to medicine, in particular on privacy, health economics and accessibility to clinical trials
Most Relevant Publications
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Fancello L, Guida A, Frige G, Michel Ceol AG, Babini G, Scaglione GL, Zanfardino M, Mazza T, Ferrando L, Pelicci PG, Mazzarella L
TMBleR, a bioinformatic tool to optimize TMB estimation and predictive power.
Bioinformatics, 2021
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Favalli V, Tini G, Bonetti E, Vozza G, Guida A, Gandini S, Pelicci PG, Mazzarella L
Machine learning-based reclassification of germline variants of unknown significance: The RENOVO algorithm.
Am J Hum Genet, 2021
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Mazzarella L, Botteri E, Matthews A, Gatti E, Di Salvatore D, Bagnardi V, Breccia M, Montesinos P, Bernal T, Gil C, Ley TJ, Sanz M, Bhaskaran K, Lo Coco F, Pelicci PG
Obesity Is A Risk Factor For Acute Promyelocytic Leukemia: Evidence From Population And Cross-Sectional Studies Studies And Correlation With Flt3 Mutations And Polyunsaturated Fatty Acid Metabolism.
Haematologica, 2020
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Elgendy M, Cirò M, Hosseini A, Weiszmann J, Mazzarella L, Ferrari E, Cazzoli R, Curigliano G, DeCensi A, Bonanni B, Budillon A, Pelicci PG, Janssens V, Ogris M, Baccarini M, Lanfrancone L, Weckwerth W, Foiani M, Minucci S
Combination of hypoglycemia and metformin impairs tumor metabolic plasticity and growth by modulating PP2A-GSK3β-MCL-1 axis.
Cancer Cell, 2019