For treating cancer at various stages, chemotherapy drugs administered in combination provide better treatment results with lower side effects compared to single-drug therapy. However, finding the potential drug combinations has been challenging due to the large numbers of possible combinations from approved drugs and the failure of in vitro 2D well plate-based cancer models. 3D spheroid-based high-throughput microfluidic platforms recapitulate some of the important features of native tumor tissue and offer a promising alternative to evaluate the combinatory effects of the drugs. This study develops a novel polydimethylsiloxane (PDMS) based microfluidic design with a dynamic environment and strategically placed U-shaped wells for testing al...
Treatment following early diagnosis of Prostate cancer (PCa) is increasingly successful, whilst the ...
This study reports on a microfluidic platform on which single multicellular spheroids from malignant...
Anticancer drugs have the lowest success rate of approval in drug development programs. Thus, precli...
Development of drugs based on potential anti-cancer chemotherapeutic agents has been hindered by its...
[[abstract]]In vitro testing of drug compounds on cell models during the drug development process re...
A drug sensitivity test prior to clinical treatment is necessary for individualized cancer therapy. ...
[[abstract]]Combinational drug treatment has the potential of improving treatment efficacy, reducing...
Development of new targeted therapies is a challenge in the battle against cancer. Although a varie...
Performing drug screening, of physiologically relevant three-dimensional (3D) tumor models, for pers...
Screening drugs on patient biopsies from solid tumours has immense potential, but is challenging due...
Traditional high-throughput drug combination screening requires automatic pipetting of drugs into hi...
A three-dimensional (3D) tumor spheroid model plays a critical role in mimicking tumor microenvironm...
Despite recent advances in immunotherapies for lung cancer, their success is still hindered by limit...
Thesis (Ph.D.)--University of Washington, 2014The ability to predict a patient's response to chemoth...
Petreus et al. describe a platform combining 3D tumour-on-chip technology and pump driven microfluid...
Treatment following early diagnosis of Prostate cancer (PCa) is increasingly successful, whilst the ...
This study reports on a microfluidic platform on which single multicellular spheroids from malignant...
Anticancer drugs have the lowest success rate of approval in drug development programs. Thus, precli...
Development of drugs based on potential anti-cancer chemotherapeutic agents has been hindered by its...
[[abstract]]In vitro testing of drug compounds on cell models during the drug development process re...
A drug sensitivity test prior to clinical treatment is necessary for individualized cancer therapy. ...
[[abstract]]Combinational drug treatment has the potential of improving treatment efficacy, reducing...
Development of new targeted therapies is a challenge in the battle against cancer. Although a varie...
Performing drug screening, of physiologically relevant three-dimensional (3D) tumor models, for pers...
Screening drugs on patient biopsies from solid tumours has immense potential, but is challenging due...
Traditional high-throughput drug combination screening requires automatic pipetting of drugs into hi...
A three-dimensional (3D) tumor spheroid model plays a critical role in mimicking tumor microenvironm...
Despite recent advances in immunotherapies for lung cancer, their success is still hindered by limit...
Thesis (Ph.D.)--University of Washington, 2014The ability to predict a patient's response to chemoth...
Petreus et al. describe a platform combining 3D tumour-on-chip technology and pump driven microfluid...
Treatment following early diagnosis of Prostate cancer (PCa) is increasingly successful, whilst the ...
This study reports on a microfluidic platform on which single multicellular spheroids from malignant...
Anticancer drugs have the lowest success rate of approval in drug development programs. Thus, precli...