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An international team of scientists created a three-dimensional (3D) pancreatic cancer tumor model in the laboratory, which combines a bioengineered matrix and patient-derived cells, which can be used to develop and test targeted therapies
In a new study published today in Nature Communications, researchers from the University of Nottingham, Queen Mary University of London, Monash University and Shanghai Jiaotong University have created a multicellular 3D microenvironment that uses patient-sourced cells to reconstruct How pancreatic cancer tumor cells grow and respond to chemotherapy drugs
Pancreatic cancer is difficult to treat, especially if there are no signs or symptoms before the cancer has spread
The research was led by Professor Alvaro Mata from the University of Nottingham, United Kingdom, Daniela Loessner from Monash University, Australia, and Christopher Heeschen from Shanghai Jiaotong University, China
It is necessary to improve the 3D cancer model to study the tumor growth and progression of patients, and to test the response to new therapies
Preclinical trials mainly rely on the combination of two-dimensional (2D) laboratory cultured cells and animal models to predict treatment response
Therefore, new experimental three-dimensional cancer models are needed to better reconstruct the human tumor microenvironment and incorporate patient-specific differences
Self-assembly is a process by which a biological system can controllably assemble multiple molecules and cells into functional tissues
Professor Mata added: “In the development of treatments for this disease, the use of human cancer models is becoming more and more common, but a major obstacle to their clinical application is turnaround time
We believe that this model is closer to the vision: to be able to take the patient’s tumor cells in the hospital, incorporate them into our model, find the best treatment for a specific cancer, and return it to the patient—all of this All are completed in a short time
DOI
10.
Bioengineered 3D models of human pancreatic cancer recapitulate in vivo tumour biology