Release date: 2015-11-02

Recently, scientists from the United States have integrated two open "omics" databases to obtain a new cancer-driven gene catalog. The relevant research results were published in the international academic journal Plos Computational Biology.

Cancer-driven genes are a class of genes that, if changed, have the potential to promote cancer progression. Researchers have used cancer mutations and protein structure databases to find mutations in patient tumors that cause changes in normal protein interactions. In this way, they have discovered more than 100 new cancer-driven genes, or can help explain why tumors driven by the same genes cause different outcomes in different patients.

The researchers said that this is the first study based on big data to use the three structural features of proteins to discover cancer-driven genes. Their analysis found some known oncogenes, such as TP53, HRAS, PI3KCA and EGFR, indicating that Some methods can indeed find some related cancer-driven genes, and changes in protein interaction sites may be a common pathological mechanism in cancer cells.

The occurrence of cancer is mainly caused by the accumulation of DNA mutations. Until now, scientists have focused their research on changes in individual genes and changes in cellular signaling pathways that may lead to cancer. Recently, NIH in the United States encouraged scientists to share research data, which made it possible to systematically analyze genomic, clinical, and molecular data to better explain and predict patient outcomes, and to promote the development of new drugs for prevention, treatment, and even cure of cancer.

Researchers say the methods they propose in this study can help people discover new cancer-driven genes and suggest molecular-level hypotheses to help explain why the same gene-driven tumors can lead to different outcomes for patients.

With the advent of this research, big data-based disease analysis will receive more and more attention.

Source: Bio Valley

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