SEP 26, 2016 06:52 AM PDT

This device traps single cancer cells for analysis

Image Credit: National University of Singapore

A new microfluidic chip can pick out any cancer cell of choice obtained from liquid biopsy to perform single cell analysis.

Compared to tumor biopsy that involves surgery, liquid biopsy is less invasive, less painful, and can be done more frequently. The biochip takes about two to three hours to process a blood sample of about 101,000 cells with little losses.
 


The system provides highly sensitive readings that identify low-frequency occurring mutations, allowing better cancer diagnosis. The innovation could help doctors have a better sense of what drugs to use, based on the presence of specific activating but treatable mutations, as well as track changes or treatment progress.

Cancer cells can vary from one another, with some being more malignant and invasive. This heterogeneity limits the effectiveness of treatment—patients with the same cancer show different treatment outcomes. Knowing cancer composition is crucial to administering the most effective therapy.

“If we do a bulk analysis of the whole tumor cell population, we may miss out information of the few malignant cells that we should target because they are masked by the many other non-malignant cancer cells. This is the motivation behind the system we develop,” says Lim Chwee Teck, an engineering professor at the National University of Singapore, who collaborated with Clearbridge mFluidics to design the new chip.

The device uses microfluidic dynamics to move cells and passively hold them cell by cell in each of the controlled chambers alongside the main channel. The selected cells can then be individually ejected from the cell chambers for downstream assessment.

This allows them to quickly and efficiently trap single cells, yet have the flexibility to choose and separate any cell of interest.

The work, published in Scientific Reports, could potentially pave the way for enhanced tailored treatment or personalized medicine. Single cell analysis also could be used in numerous other clinical applications in addition to cancer, says Tan Swee Jin, technical director of Clearbridge mFluidics. He says a prototype of the system will be out year end, with an improved version targeted for 2017.

Source: National University of Singapore

This article was originally published on Futurity.org.
About the Author
  • Futurity features the latest discoveries by scientists at top research universities in the US, UK, Canada, Europe, Asia, and Australia. The nonprofit site, which launched in 2009, is supported solely by its university partners (listed below) in an effort to share research news directly with the public.
You May Also Like
AUG 14, 2018
Cancer
AUG 14, 2018
Can Zika Virus Help Neuroblastoma Patients?
Researchers in Florida published the potential for Zika virus to help in the treatment of Neuroblastoma in patients of all ages....
AUG 29, 2018
Immunology
AUG 29, 2018
Artificial Intelligence Predicts Response to Immunotherapy
Artificial intelligence can process CT scan images to determine biological and clinical information that can predict immunotherapy efficacy thanks to machine learning....
NOV 05, 2018
Cell & Molecular Biology
NOV 05, 2018
Using Imaging to Understand Cancer Growth
Most types of cells in our body go through a critical renewal process in which cells divide into two new ones. But it can get out of control as well....
NOV 13, 2018
Immunology
NOV 13, 2018
Yin & Yang: The Duality of Cancer-Associated Fibroblasts in Pancreatic Cancer
Pancreatic Cancer is a devastating disease. Fifty-five thousand new patients were diagnosed this year in the United States (1). It is painful and usua...
DEC 05, 2018
Immunology
DEC 05, 2018
Combo-Kick to Battle Lymphoma
Combination immunotherapy has provided remission for patients suffering from Hodgkin's Lymphoma...
DEC 11, 2018
Immunology
DEC 11, 2018
Penetrating Brain Tumors
A team of researchers reveals potential targets for glioma tumors....
Loading Comments...