New sEV Analysis Method Could Improve Cancer Detection

University of Houston researchers have developed a new method for detecting cancer that could improve early cancer diagnosis. By combining PANORAMA imaging with fluorescent imaging, their approach boasts an impressive 98.7% accuracy rate, paving the way for cancer detection through a simple blood test.

The key to this novel method lies in the analysis of extracellular vesicles (EVs), nanometer-sized membrane sacs that circulate in the bloodstream, carrying various cargos such as proteins, nucleic acids, and metabolites. When examining the number and cargo of small EVs in patients with and without cancer, the researchers made a fortuitous observation.

"We observed differences in small EV numbers and cargo in samples taken from healthy people versus people with cancer and are able to differentiate these two populations based on our analysis of the small EVs," explained Wei-Chuan Shih, senior author on the paper published in Nature Communications Medicine.

By combining PANORAMA, a previously developed optical imaging technology that allows monitoring of light transmission changes and characterization of nanoparticles as small as 25 nanometers, with fluorescent imaging of small EVs, the researchers could visualize, count, and analyze the size and cargo of these tiny vesicles.

The findings were striking: "Using a cutoff of 70 normalized small EV counts, all cancer samples from 205 patients were above this threshold except for one sample, and for healthy samples, from 106 healthy individuals, all but three were above this cutoff, giving a cancer detection sensitivity of 99.5% and specificity of 97.3%," Shih explained.

To further validate their approach, the team analyzed independent sample sets from various cancer stages, including leiomyosarcoma, gastrointestinal stromal tumors, and cholangiocarcinoma, achieving an impressive 100% accuracy rate.