Ground-Breaking New Method for Multi-Cancer Early Detection Is More Practical and Cheaper

Now, in an international collaboration, researchers from Chalmers University of Technology (Gothenburg, Sweden) have developed a new method for MCED that is instead based on human metabolism. The results uncover new opportunities for cheaper and more effective cancer screening. In a study totaling 1,260 participants, the researchers first discovered that the new method could detect all 14 cancer types that were tested. Next, they showed that twice as many stage I cancers in asymptomatic healthy people can be detected with the new method compared to the emerging DNA-based MCED tests.

The method is based on a discovery at Chalmers almost 10 years ago: that so-called glycosaminoglycans – a type of sugar that is an important part of our metabolism – are excellent biomarkers to detect cancer noninvasively. The researchers developed a machine learning method in which algorithms are used to find cancer-indicating changes in the glycosaminoglycans. The method uses comparatively small volumes of blood or urine, which makes them more practical and cheaper to use. In the next step, the researchers hope to be able to conduct a study with even more participants to further develop and confirm the method’s potential for screening use.

"This is a previously unexplored method, and thanks to the fact that we have been able to test it in a large population, we can show that it is effective in finding more stage I cancers and more cancer types. The method makes it possible to find cancer types that are not screened for today and cannot be found with DNA-based MCED tests, such as brain tumors and kidney cancer," said Francesco Gatto, a visiting researcher at the Department of Biology and Biological Engineering at Chalmers and one of the study's authors. "The fact that the method is comparatively simple means that the cost will be significantly low, ultimately enabling more people to have access to and take the test."

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