For the past fifteen years, cancer researchers have been using DNA sequencing technology to identify the gene mutations that cause the different forms of cancer. Now, Salk Assistant Professor Edward Stites and his team of computational scientists have combined gene mutation information with cancer prevalence data to reveal the genetic basis of cancer in the entire population of cancer patients in the United States.
The study, published in Nature Communications on October 13, 2021, reveals how common each gene in the genome is mutated within the cancer patient population. The findings could help guide genetic research to develop more effective treatments than presently available.
“The paper answers a very basic question: what are the most commonly mutated genes in human cancer?” says Stites, who is also a physician as well as holder of the Hearst Foundation Developmental Chair. “Surprisingly, this question had not been answered.”
Genetic mutations play a fundamental role in the development and growth of cancers. They can also be targeted for effective treatment. However, while many studies have identified the mutations involved in certain cancers, like breast cancer or lymphoma, metrogel safe in pregnancy no one had ever managed to combine the data in a way that could reveal which mutations are most common in the entire cancer patient population. Every cancer is different, and this makes it challenging to determine which cancer-causing genes and which drug targets should be prioritized for further study.
In the new study, Stites’ team combined data sets from genomic and epidemiological cancer studies to determine what percentage of all cancer patients will have any gene mutated. Although this task initially seemed straightforward, they soon discovered why the question had not been answered before: genomic and epidemiological studies do not use a common naming system for the various cancers. For example, some researchers classified cancers by location on the body while others grouped them by tumor type, and many used a combination of the two. This made it difficult to align the data sets, which was critical for determining how common the different mutations were.
To overcome the challenge, the scientists carefully analyzed more than 200 studies and individually reviewed and reclassified each cancer according to a consistent naming system. They then compared the data sets, taking into account the fact that some cancers are more common than others. When they analyzed the data, they found that some widespread beliefs were incorrect. For example, KRAS is an important cancer-promoting gene that was believed to be mutated in 25% of all cancers; rather, it was found to be involved in only about 11% of all cancers. This was part of a trend where individual genetic mutations were found to be less common than previously thought.
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