Revolutionary Solutions New Biosensor Could Precisely Diagnose Brain Cancer

Researchers have developed a new ultrasensitive biosensor which has the potential to detect minute amounts of tumor-derived materials, such as nucleic acids, proteins and lipids. Molecular profiles are then generated for each sample and analyzed to detect a brain tumor and define its type, as well as predict its location within the brain.

Washington DC/USA – Despite significant advances, mortality from brain tumors remains high with five-year survival rates of 36 %, according to the National Cancer Institute. More accurate diagnoses might improve the situation, but tissue biopsies are invasive and can miss important information about a tumor’s make-up. Imaging-based methods, meanwhile, do not offer sufficient sensitivity and resolution. Now, researchers reporting in American Chemical Society (ACS) Nano have developed a biosensor that could help physicians precisely diagnose brain cancer from a minute blood sample.

To effectively treat brain cancer, physicians need to not only confirm the presence of a malignant tumor but also identify whether it originated there (primary tumor) or moved to the brain (secondary tumor) from other organs. Physicians also need to know where in the organ the tumor is located. Because no existing diagnostic technique can accomplish this feat without surgery or a painful spinal tap, Bo Tan and colleagues wanted to develop a non-invasive test using a tiny amount of serum.

The researchers used high-intensity laser beams to form 3D nickel-nickel oxide nanolayers on a nickel chip. This process resulted in an ultrasensitive biosensor that allowed them to detect minute amounts of tumor-derived materials, such as nucleic acids, proteins and lipids, that made it through the blood-brain-barrier into the circulation. The sensor detected these components using a method known as surface-enhanced Raman spectroscopy, which generated molecular profiles, or fingerprints, for each sample. The researchers then analyzed these profiles with a Deep neural network to find evidence of a brain tumor and define its type, as well as predict its location within the brain.

Using the liquid biopsy platform, the researchers could detect brain cancer from just five microliters of blood serum, and they could distinguish it from breast, lung and colorectal cancer with 100 % specificity and sensitivity. They had similar success distinguishing primary brain tumors from secondary tumors that had metastasized to the brain from the lung or breast. Profile analysis also allowed the researchers to determine in which of nine brain compartments the tumor resided with 96 % accuracy. The non-invasive nature of the test should allow healthcare specialists to monitor cancer development over time so they can make better treatment decisions, the researchers say.

The authors acknowledge funding Faculty of Engineering and Architectural Science Deans Research Fund; Natural Science and Engineering Research Council of Canada (Nserc) Discovery Grants; and Nserc Discovery Grant, Idea to Innovation and Alliance Grants.

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