For the first time, it has been shown that silent mutations can predict the development of cancer cells

Researchers from the Department of Biomedical Engineering at Tel Aviv University and Zimin Engineering Solutions for a Better Life Institute have been able to predict the type of cancer and the survival probability of patients based on silent mutations in the cancer genome-a proof of concept that may well be in the future Save lives

Silent mutations are defined as mutations that do not change the amino acid sequence of the protein

In the current study, based on about 3 million mutations in the cancer genomes of 9915 patients, researchers tried to determine the type of cancer and predict the probability of survival 10 years after the initial diagnosis-based only on silent mutations

Professor Tuller explained: "Our genome, like the genomes of all other organisms, contains mutations that can change the amino acid sequence of encoded proteins

According to Professor Tuller, the genetic material of a cell contains two types of information: the first type is the amino acid sequence to be produced, and the second type is the time and quantity of each protein produced—that is, the regulation of the production process

To test their hypothesis and quantify the impact of silent mutations, Professor Tuller and his colleagues used publicly available genetic information on the cancer genome provided by the National Institutes of Health

"Our findings have several important implications," Professor Tuller said

This new research has implications for all areas of oncology research and treatment

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