Modular immunocompetent multi-organ-chip integrating tumor, microenvironment and lymph node models to study cancer-immune interaction via non-invasive imaging

Project Image:
Title of the project:
Modular immunocompetent multi-organ-chip integrating tumor, microenvironment and lymph node models to study cancer-immune interaction via non-invasive imaging
Teasertext:
Recreating and visualizing human tumor-immune interactions in a modular multi-organ-chip
Project name:
Wellcome Leap Human Organs, Physiology, and Engineering (HOPE)
Summary:
The aim of this collaborative project is to develop a novel and modular platform that allows the circulation of immune cells and connection of multiple Organ-on-chip (OoC) models, namely the lymph node and tumor models. The developed platform will also allow for novel, non-invasive, imaging approaches to study cancer-immune interactions, enabling future drug and disease research approaches
Start:
01.04.2021
End:
31.03.2024
Project leader:
Prof. Dr. Peter Loskill
Project management:
  • Wellcome LEAP Inc.
Funding reference number:
-
Description:

The major aim of this proposal is the development of a human multi-organ-chip that recapitulates immune-tumor interaction. The proposed solution is based on a modular multi-organ-platform that enables the circulation of immune cells between a lymph node model and tumor models integrating the tumor microenvironment (TME). Additionally the system allows for monitoring via non-invasive, molecular-sensitive imaging. By choosing a modular integration approach, we lay the groundwork for ‘mix-and-match’ multi-organ-chips that combine single organ modules already existing or in development from different developers.

Bridging the gap between pre-clinical models, human immunity, and clinical readouts remains a major challenge in cancer immunotherapy. Conventional readouts in immunooncology represent destructive, discontinuous, and often time-consuming analyses. Combining the OoC approach with non-invasive, molecular-sensitive imaging techniques will allow for in situ monitoring and identification of cellular and metabolic features upon tumor-immune interplay and real-time feedback on tumor responsiveness.

The investigation of these parameters and their correlation to well established readouts will contribute to unravelling the mechanisms involved in tumor-immune interaction and the identification of novel readouts or biomarkers for cancer prognosis and patient specific drug responsiveness.

Project partners:
  • WellcomeLEAP