An international study used statistical software developed by University of California, Los Angeles (UCLA) researchers to estimate the rate at which cancers evolve.
The software simulated tumor development over time, and the researchers compared these models to data from cancer patients to ascertain the models' accuracy.
The software determines the accuracy of evolutionary predictions; Peter Van Loo at the U.K.'s Francis Crick Institute said the technique is about 80% to 90% accurate when examining the timing of certain evolutionary events across one type of cancer.
The researchers conducted advanced-tumor simulations, and learned which cancer types can be easily predicted and which types are harder to predict—and developed algorithms based on factors that make measuring cancer evolution easier.
UCLA's Paul Boutros said, "The results were a new set of tools with which people can do anything in the space of tumor evolution."
From Daily Bruin
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