Researchers have developed a new imaging approach that allows tumors to be tracked across the entire body and then examined in extraordinary detail at the level of individual cancer cells.
The technique, described in Nature Biotechnology, combines several imaging methods—including PET scanning, bioluminescence imaging and fluorescence imaging—to create a continuous picture of how cancer develops and spreads.
One of the major limitations of cancer research has been the gap between medical scans, which show the overall distribution of tumors, and microscopy, which reveals what happens inside individual cells. Whole-body imaging can identify where tumors are located, but it cannot explain how specific cancer cells interact with surrounding tissue. Microscopy provides cellular detail but cannot show how disease evolves throughout the body.
The new method bridges these two scales. Researchers can first identify tumors anywhere in the body, determine which lesions are most important, and then "zoom in" to study those same tumors and their surrounding environment in detail.
Using specially labeled cancer cells, scientists were able to track tumors across different imaging systems and observe how they grow, spread and respond to treatment over time.
The approach also makes it possible to examine how tumor cells interact with nearby immune cells and blood vessels, which are known to influence whether a cancer becomes more aggressive or responds to therapy.
The technology has so far been demonstrated in mouse models of lung and liver cancer and is currently intended for research rather than clinical use in humans. However, researchers say it could help explain why some tumors respond to treatment while others resist it, improve the testing of new therapies and support the development of more personalized cancer treatments.
According to the study team, the method also allows scientists to analyze individual tumor lesions separately instead of treating all tumors in a patient as biologically identical.
Although developed for cancer research, the researchers believe the technique could eventually be applied to other fields, including immunology, neuroscience and regenerative medicine.
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