An approach combining analytical expertise and cancer biology
Specifically, VENOM2 will combine venom fractionation, functional screening on healthy and cancerous cell models, and advanced structural analyses to identify peptides capable of specifically targeting cancer cells or mechanisms involved in tumor progression. The approach thus combines ULiège’s analytical expertise in peptide characterization with UNamur’s expertise in biological and cellular cancer models.
The project’s originality lies in its dual potential for commercialization. Some peptides could be developed as targeting agents for molecular imaging, contributing to more precise diagnosis. Other candidates could have therapeutic potential by selectively modulating key biological pathways in oncology.
“With VENOM2, we aim to transform a biodiversity that remains largely underutilized into opportunities for precision oncology. The Win4SpinOff funding gives us the means to take significant new steps in research and the opportunity to test our ideas in the market. It embodies our commitment to developing innovative therapeutic solutions for cancers resistant to conventional treatments,” emphasize Professors Loïc Quinton and Jean-Pierre Gillet.
Toward a future Walloon spin-off
Beyond its scientific ambition, VENOM2 is part of a dynamic of technology transfer and value creation, laying the groundwork for a future spin-off company specializing in the development of peptides derived from venoms for human health, with the support of the technology transfer teams at ULiège, UNamur, and ULiège’s commercialization and investment company, Gesval.
“This project lies at the intersection of several areas of expertise: detailed venom analysis, cancer biology, and the development of relevant cellular models. The goal is to identify peptides capable not only of recognizing certain tumor cells, but also of opening new avenues for better understanding and targeting mechanisms involved in cancers resistant to current treatments,” explains Lou Freuville.
The project was developed with the support of technology transfer teams: Yasmina Zeroual for ULiège, Daniel Maréchal for Gesval, as well as Eléana Somville and Joël Marinozzi for UNamur.