Staff

Elena Levantini

Dirigente Ricerca
E-Mail

elena.levantini@itb.cnr.it

PHONE

+390503152775

LOCATION

Pisa

ROOM (floor/number)

13/45b

I am a senior research leader with extensive experience in cancer biology and translational oncology, currently focusing on the molecular mechanisms driving therapy resistance in non-small cell lung cancer (NSCLC). Over the course of my career, I have led interdisciplinary teams, integrating genomics, transcriptomics, epigenomics, metabolomics, and functional genomics to uncover novel therapeutic targets and biomarkers. My research emphasizes a mechanistic understanding of tumor evolution, heterogeneity, and metabolic adaptation, aiming to translate molecular insights into strategies that improve patient outcomes. I have a strong track record of successfully managing complex projects, securing competitive funding, and mentoring emerging scientists, fostering a collaborative and innovative research environment. My leadership style is grounded in scientific rigor, strategic vision, and a commitment to excellence. I am passionate about leveraging cutting-edge technologies and integrative approaches to address critical challenges in cancer biology, while advancing precision medicine and translational research. I am particularly motivated by the opportunity to bridge fundamental discoveries with therapeutic applications, guiding my team to push the boundaries of knowledge and impact the field of oncology at both a scientific and clinical level.

Transcriptomic profiling of tumor extracellular vesicles (EVs) as intercellular communication mediators and for liquid biopsy and drug delivery applications

Metabolomic analysis of mitochondria, endoplasmic reticulum, vesicle trafficking.

Identification of genetic and regulatory variants influencing drug response and adverse events

Identification of post-translational and gene-read mechanisms in disease and therapeutic applications.

Processing and analysis of medical images to identify quantitative image-based biomarkers (radiomics), supporting tissue characterization and data-driven predictive models.

Study of molecular and cellular mechanisms in tumorigenesis with a focus on dissecting cellular heterogeneity and interactions within the tumor microenvironment