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Spatial proteomics of novel in vitro cancer models – to verify relevance compared to original tumor

Reference number
Coordinator Spiber Technologies AB
Funding from Vinnova SEK 1 000 000
Project duration November 2024 - October 2025
Status Ongoing
Venture Utlysning Infrastruktur for the development of accurate drug treatment
Call Use infrastructures to develop precision medicine

Purpose and goal

We use a recombinant functionalized silk protein, FN-silk, to make improved in vitro tumor models. FN-silk mimics the extracellular matrix and can capture the heterogeneity of a tumor sample and provide a relevant tumor microenvironment. We will use spatial proteomics at The Spatial proteomics national unit at SciLifeLab to determine how well our cancer models will capture the relevant characteristics of the original tumor, which to a large extent is lost with conventional culture methods.

Expected effects and result

The reliable deeper characterization of the novel FN-silk based cancer models performed in this project will shed light on the expected heterogeneity and relevance compared to conventional models. These benefits will be essential to motivate the transition from conventional cancer models to novel versions that better represent the original tumor. Further on, we aim to target clinical applications of the cancer models for precision medicine.

Planned approach and implementation

First, we will construct cancer models using established breast cancer cell lines, and perform spatial proteomics to investigate the effect on cell adhesion and migration in FN-silk networks compared to spheroids. Secondly, we will use primary tumor material to construct patient-specific tumor models and investigate the captured heterogeneity of both tumor cells and surrounding stroma. Finally, we will perform a proof of concept for drug testing.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 11 November 2024

Reference number 2024-02549