New Patient Tumor Cell Models Rapidly Predict Cancer Therapy Outcomes

A new benchtop microfluidic device generates patient-derived tumor micro-organospheres that allow for real-time cancer therapy decisions.

Written byJennifer Zieba, PhD
| 4 min read
3d illustration proteins with lymphocytes , t cells or cancer cells
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Evidence from the clinic and research labs in the last couple of decades shows that there is no single cure for cancer. Within a group of patients, individuals with what look to be identical tumor types react to the same treatment very differently. This often results in a waste of time and quality of life for those that don’t respond, and it has impeded cancer treatment development for years. As a result, precision oncology, the molecular profiling of tumors to identify patient-specific treatments, has become a necessary tool in the battle against cancer.

Recently, researchers developed in vitro patient-derived cell models to guide personalized care in cancer.1 “The challenge is to make a platform technology that can truly be used in the clinic, and to be very reproducible, fast, and scalable,” said Xiling Shen, a professor in biomedical engineering at Duke University. While training to be an electrical engineer, Shen ...

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  • Jennifer Zieba, PhD headshot

    Jen earned her PhD in human genetics at the University of California, Los Angeles. She is currently a project scientist in the orthopedic surgery department at UCLA where she works on identifying mutations and possible treatments for rare genetic musculoskeletal disorders. Jen enjoys teaching and communicating complex scientific concepts to a wide audience and is a freelance writer for The Scientist's Creative Services Team.

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