Title: Understanding Tumor-Associated ECM Dynamics: Insights from Physical Sciences Approaches
The SFB/TRR 225 Seminar Series 2023 continued with another exciting presentation on “Physical sciences approaches to analyze tumor-associated ECM dynamics” by Prof. Claudia Fischbach. This seminar took place on 20th April 2023 at 11:30 am and was held at the University of Würzburg, Röntgenring 11, Hörsaal A222, with an additional location at Bayreuth/Erlangen via Zoom.
Prof. Claudia Fischbach, the Stanley Bryer 1946 Professor of Biomedical Engineering and Director of Cornell’s Physical Sciences Oncology Center (PSOC) on the Physics of Cancer Metabolism, Cornell University, Ithaca, NY, USA, is a renowned researcher in the field of biofabrication and tissue engineering. Her current research focused on the development of physical sciences approaches to analyze tumor-associated extracellular matrix (ECM) dynamics. In her presentation, Prof. Fischbach shared her insights on how the physical sciences can contribute to a better understanding of tumor-associated ECM dynamics and its role in tumor progression.
The tumor microenvironment is a complex and dynamic system that involves interactions between cells and the ECM. Understanding how the ECM influences tumor progression is crucial for the development of effective cancer therapies. Prof. Fischbach’s research aimed to develop physical sciences approaches that can provide insights into the physical and biochemical properties of the tumor microenvironment, including the role of the ECM in tumor cell behavior.
This seminar was open to all interested parties, and guests were welcome to attend.
We would like to express our sincerest thanks to everyone who attended the seminar, which was expertly organized by Jörg Tessmar and Torsten Blunk (both Project A02). Their hard work and dedication to putting together such an insightful and informative presentation is greatly appreciated.
Once again, thank you for your participation in this seminar, and we hope that you found it to be a valuable learning experience.
