U.S. develops a new machine to diagnose cancer with small samples

Release date: 2009-04-22

In a groundbreaking development, American scientists have introduced a revolutionary cancer diagnostic tool that analyzes cancer-related proteins and tracks the effectiveness of treatments using minimal samples—such as a single drop of blood or a tiny tissue sample. This innovation could potentially replace traditional surgical biopsies, which often require removing large tissue sections and involve anesthesia.

The new technology was developed by researchers at Stanford University. By leveraging the electrical charge of cancer-associated proteins, they can identify and differentiate these proteins based on their surface properties. Antibodies are then used to detect the quantity and location of various proteins. This method has already shown success in detecting the activity of cancer genes in common human lymphoma samples and even distinguishing between different lymphoma subtypes.

Dean Felts, a professor of oncology at Stanford who led the research, emphasized that the system is capable of detecting proteins at picogram (10^-12 g) levels and can also identify subtle changes in protein behavior. This level of sensitivity opens up new possibilities for early detection and personalized treatment strategies.

Researchers believe this system could significantly improve the monitoring of cancer therapies, making it faster and less invasive. While the current focus is on blood cancers, the team is also exploring its application in solid tumors, including brain and neck cancers. Preliminary results show that the technology successfully identified the anti-cancer effects of a cholesterol-lowering drug in a lymphoma patient. Additionally, the method has proven effective on lymphoma samples from laboratory mice and cultured tumor cells.

As this technology continues to evolve, it may transform how cancer is diagnosed and treated, offering a more efficient and less painful alternative to traditional methods. The Shanghai Medical Device Industry Association highlights the potential impact of this innovation on the future of oncology.

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