NIH Researchers Uncover Role of Repetitive DNA, Protein Sequences in Tumor Evolution
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A team of researchers from the National Library of Medicine and collaborating academic research institutions developed a method to measure a type of gene mutation involved in the evolution of cancer. This type of mutation, called “repeat instability,” may be useful in early cancer diagnosis. Findings were published in the Proceedings of the National Academy of Sciences.
Cancer is primarily caused by mutations in certain genes. The most thoroughly studied cancer-associated mutations involve the substitution of one nucleotide of DNA for another in genes known as oncogenes and tumor suppressors.
In this study, the researchers identified a different type of mutation active in cancer, one that increases and/or decreases repetitive segments of DNA and protein sequences in various genes. These changes are collectively called “repeat instability.”
Researchers developed a computational methodology to quantify variations in the repeat content of gene and protein sequences. They analyzed sequence data from 325 patients with a variety of cancers, including breast, prostate, bladder and lung, as well as individual patients with metastases. Using computational biology techniques, the researchers compared the sequences from the cancer tissue with those from healthy tissue adjacent to the cancer site and to blood, which served as the control.
“This study shows that repetitive sequences, which are ‘hotspots’ of DNA evolution, emerge early in tumor evolution but fade away in later phases, particularly during the transition to metastatic states, though they leave clear marks in the genome,” said Dr. Eugene Koonin, a co-author of the study and head of NLM’s evolutionary genomics research group.
“The study found that non-cancerous tissue adjacent to tumors had patterns of repetitive sequences that were similar to those detected in tumors,” said NLM’s Dr. Erez Persi, lead author on the paper. “This fact, and the reduction in repeat sequences seen once the cancers metastasized, suggests the potential for using repeat sequences in the early diagnosis of cancer.”