OCT 22, 2020 3:35 PM CEST

Next Generation rEvolution in Myeloid Neoplasms clinical research

C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • Research Scientist, University of Florence
    Biography

      Giada Rotunno is a biotechnologist, currently researcher scientist at the University of Florence, Center of Research and Innovation of Myeloproliferative Neoplasms (CRIMM) directed by Professor AM Vannucchi. Dr. Rotunno graduated in Medical and Pharmaceutical Biotechnology in 2012 and obtained her PhD degree in Biomedical science in Experimental and Clinical Oncology at the University of Florence in 2015. Her main scientific interests concern hematological disorders with particular focus on myeloproliferative neoplasms (MPN). She is working since 2012 on the study of mutation complexity of chronic and acute myeloid neoplasms, contributing to the refinement of the risk stratification of patients with MPN. In these years, she developed the Next Generation Sequencing (NGS) techniques actually used at CRIMM center. Dr Rotunno published 45 papers on high-impact factor journals including Blood, Leukemia and other peer-reviewed journals on myeloid neoplasms.


    Abstract

    Myeloid neoplasms are a group of heterogeneus disorders originating from the neoplastic transformation of a pluripotent hematopoietic progenitor cell. Following the acquisition of somatic mutations there is an abnormal proliferation of hematopoietic cells from one or more cell lineages with the predominance of the neoplastic clone over the normal cells. Myeloid disorders are characterized by a high molecular complexity and by the presence of subclonal mutations occurring in subclones of variable size. The “classic” molecular biology techniques present several limits in terms of sensibility, sensitivity and time consuming. Next generation sequencing (NGS) have become fundamental for the in-depth study of molecular complexity and translational research in these diseases. Moreover the access to semi-automated platform and dedicated myeloid gene panels, represent an efficient and reliable opportunity for researchers to improve the quality of molecular data analysis.

    Learning Objectives:

    1. Evolution of technology in molecular biology

    2. Next generation utility in myeloid neoplasm

    3. Impact of NGS on translational research


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