Chip-based device measures drug resistance in tumor cells

NewsGuard 100/100 Score

Multiple drug resistance is a major cause of anticancer therapy failure. Most drug-resistance cancer cells develop this unfortunate characteristic due to a drug-pumping protein known as P-glycoprotein.

Now, a team of investigators at Simon Fraser University in Burnaby, British Columbia, has developed a microfluidic chip that can trap individual cancer cells and investigate the ability of various pump-blocking drugs to overcome drug resistance. This new "lab-on-a-chip" device could prove useful for studying multiple drug resistance and for selecting the appropriate therapy for a given patient.

Paul Li, Ph.D., and his colleagues developed the dime-size chip to select and retain individual cancer cells within a chamber that can be dosed with drugs loaded into an on-chip reservoir. An optical detection system, consisting of an inverted fluorescence microscope, enabled the researchers to measure drug influx and efflux in real time, before and after the cells were dosed with various pump inhibitors. In their current work, which appears in the journal Analytical Chemistry, the investigators studied the effects of the antipump drug verapamil on the net intake of the anticancer drug daunorubicin.

This work is detailed in the paper "Same-Single-Cell Analysis for the Study of Drug Efflux Modulation of Multidrug Resistant Cells Using a Microfluidic Chip." Investigators from the BC Cancer Research Center in Vancouver also participated in this study. An abstract of this paper is available at the journal's Web site. View abstract

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Advancing osteosarcoma prognosis with AI-assisted tumor cell density analysis