Articles

Cancer care goes tiny

Researchers turned one tumor sample into thousands of rapid drug tests. 
Written byLauren Drake
| 2 min read
A microscope image of grey spheres lined up in rows with speckles of cells inside each sphere.

Micro-organospheres contain approximately 30 patient derived tumor cells per droplet.

credit: Xiling Shen

Cancer treatment is not one size fits all. Physicians must consider the different mutations, tumor formations, and affected tissue types of a case and tailor treatment to each patient. To find the most effective treatment for each patient, doctors and researchers sometimes use patient derived tumor samples to test which drugs work best on a particular tumor before administering the drugs to patients.

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About the Author

  • Drug Discovery News Placeholder Image
    Lauren Drake is a Biomedical Engineering PhD student at Vanderbilt University, where she uses in vitro models of the human brain to study neurodegenerative tau pathology. As a science journalism intern for Drug Discovery News, she is excited to cover novel advances in drug research. When she is not performing experiments or writing about science, she is cuddling with her cats, Willow and Huxley, and her rats, Mitski and Sappho.View Full Profile

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Illustration of multiple three-dimensional patient-derived organoids suspended against a dark blue background, representing tumor models used in precision oncology research.
By combining organoid biology with precision automation, researchers developed a miniaturized organoid screening platform that could help speed personalized cancer treatment testing.
Illustration of multiple three-dimensional patient-derived organoids suspended against a dark blue background, representing tumor models used in precision oncology research.
By combining organoid biology with precision automation, researchers developed a miniaturized organoid screening platform that could help speed personalized cancer treatment testing.
3D illustration of a membrane protein embedded within a lipid nanodisc, representing a native-like environment used for membrane protein stabilization and characterization.
Mass photometry supports membrane protein characterization by providing rapid insights into sample composition, purity, and molecular assembly.
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