Early prediction of chemotherapy efficacy in liver cancer by a novel nanoplatform (2018-2021)
Abstract
Liver cancer is the 2nd most common cause of death from cancer worldwide. Current chemotherapy for this cancer is inadequate, and prediction of treatment response is inefficient, resulting in unacceptable delays in identifying the optimal treatment. A change in the tumour microenvironment has potential to serve as an early predictor of drug efficacy. This project aims to develop a novel technology to accurately measure the tumour microenvironment during chemotherapy, and to explore the correlation between this potential predictor and tumour growth. This technology would significantly improve the patient prognosis by revealing non-response to chemotherapeutics early and allowing timely administration of alternative effective therapies.
