Akronim: BIOCANCER
Numer: POLTUR4/0032/BIOCANCER/2020
Program/Konkurs: IV konkurs na projekty w ramach współpracy polsko-tureckiej POLTUR4
Jednostka finansująca: NCBiR
Kierownik projektu: prof. dr hab. inż. Wojciech Święszkowski
Funkcja: konsorcjant konsorcjum polsko-tureckiego
Czas realizacji: 2021-2024
Opis:
Survival prognosis for patients with advance breast cancer metastasis are rather poor and the available treatment options are also very limited. In currently available cell culture and laboratory animal-based cancer models, the underlying mechanism of breast cancer cells dissemination and its survival at distant locations is still not clearly identified. Despite unprecedented progress of research in tissue engineering and regenerative medicine, simple 3D tissue models that attempt to recapitulate cancer and capillary network, do not use its combination. At that point, there is a pressing need for development of an in vitro platform to investigate complex and pathophysiologically relevant research questions towards the understanding of breast cancer metastatic progression to the distant locations, namely its invasion and intravasation. Here, we propose a cancer intravasation-on-a-chip system allowing tracking of circulating breast cancer tumor cells within a fluidic device that is expected to respond to circulating immune cells. Therefore, the overall objective of this project is to establish a breast cancer intravasation model to test new therapeutic strategies. To reach the project principal, specific, project-related activities will be integrated into four aims:
The main result of the project, which applies to development of novel breast cancer intravasation model will be of high interest for biomaterials and biomedical companies as for the pharmaceutical industry. It is expected that it will also help in understanding the breast cancer cells interactions with constant changing environment during dissemination and metastasis formation. Furthermore, it could also be used in personalized medicine by selection the most effective treatment for individual patients using patient’s own cells in the 3D model.