12–17 Jul 2026
University of Graz
Europe/Vienna timezone

Modelling the efficacy of CIK cell immunotherapy targeting MET-expressing mesothelioma cells

MS35-02
17 Jul 2026, 11:00
20m
15.04 - HS (University of Graz)

15.04 - HS

University of Graz

195

Speaker

Federica Padovano (LJLL)

Description

Malignant pleural mesothelioma (MPM) is an aggressive tumour associated with poor prognosis and limited treatment options, motivating the investigation of novel therapeutic approaches. Among these, chimeric antigen receptor (CAR)–based adoptive cell immunotherapy has attracted considerable interest due to its potential to achieve durable clinical responses

We combine experimental and mathematical approaches to investigate the efficacy of a CAR-based immunotherapy using cytokine-induced killer (CIK) cells engineered with a MET-specific receptor targeting MET-overexpressing tumour cells. \textit{In vitro} data from diverse MPM cell lines and CIK preparations are used to develop and calibrate a mathematical model describing the interaction dynamics between tumour cells, structured by their MET expression level, and CIK cells. The model successfully reproduces experimental observations and is used to predict treatment efficacy under previously untested conditions, which are validated with new data from MPM primary cell lines.

Our results elucidate the interplay between three key factors positively impacting treatment efficacy: the initial immune-to-tumour cell ratio, the percentage of CAR-MET-expressing CIK cells generated upon engineering, and the MET expression level of tumour cells. Together, these findings provide a quantitative basis for assessing CAR-CIK therapy effectiveness and initiate the development of a predictive framework that could support clinical decision making.

Author

Federica Padovano (LJLL)

Co-authors

Andrea Maria Lombardi (Candiolo Cancer Institute, Candiolo, Italy) Elisa Vigna (Candiolo Cancer Institute, Candiolo, Italy) Tommaso Lorenzi (Politecnico di Torino) Chiara Villa (CNRS & MAP5 (UPC)) Emma Leschiera (De Vinci Research Center)

Presentation materials

There are no materials yet.