Prof. ELISA FRULLANTI
Department of Medical Biotechnology
Associate Professor BIO/18-Genetics
https://docenti.unisi.it/en/frullanti
Director of Cancer Genomics and Systems Biology Lab
https://liquidbiopsy.unisi.it/cgsb-lab/
Download the resume
Elisa Frullanti completed a PhD in Cancer Genetics of Open University of London at the affiliated center Isitituto Nazionale Tumori (INT, Milan, Italy).
She has been working in the field of lung cancer (LC) genetics for 10 years first in Milan, at INT (2006-2012), and then at University of Siena (2013-today) in the Medical Genetics Unit. In INT she conducted her research project aimed to identify functional genetic elements associated with LC prognosis through genome wide association studies, genetic linkage and transcriptome studies winning in 2010 an AIRC Triennal Fellowship.
In 2011 she won the Galilei Young Research Scientist Award Rotary International. She is currently Associate Professor of Genetics in the Dept. Medical Biotechnologies at University of Siena.
Her main research interests were the dissection of molecular and genetic bases of LC in never smoker young patients and in other diseases following innovative “omics” approaches that integrate genomic and transcriptomic data.
Research aims
Cancer is a disease of the genome. Each person’s cancer is different from others and each tumor has its unique abnormalities at the genetic level. Some of these anomalies are clinically significant and, if identified and characterized, can be exploited to improve the identification, management and treatment of cancer, as well as help us to understand how different patients respond to treatment.
The Cancer Genomics and Systems Biology Laboratory, Dept. of Medical Biotechnology University of Siena, aims to develop new approaches for identify and understand the genetic and biological mechanisms that underlie the genesis, progression and resistance to cancer treatment. To do this, we use advanced technologies and highly automated systems, bioinformatics and molecular biology techniques of applied mathematics and notions of artificial intelligence.
The main activities are the analysis of tumor genetic variations or molecular switches underlying tumor cell survival and resistance to the pharmacological treatments in use. The laboratory carries out genetic and functional analysis examining genome changes in many different types of cancer. Specifically, it is possible to follow changes in the genome of tumor cells on liquid biopsy samples (i.e. tumor genome released by tumor cells into patients’ plasma) detecting and characterizing the presence of specific alterations in the DNA or RNA of the tumor that can make it sensitive or resistant to various oncological treatments. Furthermore, the enormous amount of data from such experiments are used to develop predictive computational models of tumor cell behavior and for the development of valid statistical models for the interpretation of these data, to produce algorithms, signatures and characteristic profiles of the tumor state.