The new method can detect early stage cancer

Recently, Dr. Daniel De Carvalho, head of research at the Princess Margaret Cancer Center in Toronto, Canada, led colleagues in discovering a new cancer detection method that uses "liquid biopsies," esogen analysis, and machine identification techniques to detect and classify earlier cancers. The study was published recently in the journal Nature.
De Carvalho, said the study not only describes ways to detect cancer, but also promises to detect earlier cancer symptoms for timely treatment. "It's very difficult to find one in a billion cancer-specific mutations in the blood, like looking for a needle in a haystack, especially in the early stages of cancer, where there is very little tumor DNA in the blood."
The researchers identified thousands of variants of each cancer type using an ontical genetic variable analysis, and then used big data methods to classify them using machine-identified techniques to identify whether cancer-sourced DNA was present in blood samples and determine the type of cancer, essentially making the problem of "needles in a haystack" much simpler.In the
study, they analyzed the origin and type of cancer by selecting 300 patient tumor samples from seven types of cancer (lung, pancreatic, colon, breast, leukemia, bladder and kidney) and comparing them with healthy patients with plasma cellless DNA cycles. The team then expanded the scope of the study to successfully analyze and match more than 700 cancer-type tumor and blood samples after "floating" plasma DNA was then matched to tumor DNA in each patient's tumor sample. Moreover, this cancer detection method has been validated in prospective studies of cancer screening.
the latest cancer detection method is also supported by the McLaughlin Center at the University of Toronto, the Canadian Institutes of Health, the Cancer Society and the Ontario Cancer Institute. (Source: Liu Yanyang, China Science Journal)