In the fight against cancer, knowing the enemy’s exact identity is crucial for diagnosis and treatment, especially in metastatic cancers, those that spread between organs and tissues. Now chemists led by Vincent Rotello at the University of Massachusetts Amherst have developed a rapid, sensitive way to detect microscopic levels of many different metastatic cell types in living tissue. Findings appear in the current issue of the journal ACS Nano.
In a pre-clinical non-small-cell lung cancer metastasis model in mice developed by Frank Jirik and colleagues at the University of Calgary, Rotello’s team at UMass Amherst use a sensor array system of gold nanoparticles and proteins to “smell” different cancer types in much the same way our noses identify and remember different odors. The new work builds on Rotello and colleagues’ earlier development of a “chemical nose” array of nanoparticles and polymers able to differentiate between normal cells and cancerous ones.
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