"This was a big thrust for the public project," said Dr. Richard Gibbs, director of the Baylor College of Medicine Human Genome Sequencing Center, a member of the network and a co-author of the paper. "This answers the big question about whether the cancer genome project is worthwhile. The results show that it is—definitely." The BCM Center, the Genome Sequencing Center at Washington University School of Medicine in St. Louis, Missouri, and the Broad Institute of MIT and Harvard in Cambridge, Massachusetts led the effort that included many members from across the nation.
This interim analysis of 91 tumors and 623 genes provides important clues about how the disease originates and progresses in cells and how it eludes the effects of potent anti-cancer drugs and radiation, said Dr. David Wheeler, associate professor in the Genome Sequencing Center and a co-author of the report. It could provide researchers with clues about how to treat the disease. The Baylor Human Genome Sequencing Center was a major component in the effort to sequence the genes and identify mutations and changes that affected the ways cells react.
"Studies like this show the breadth of mutation across many genes," said Wheeler. "We can see the mutations in all the genes of each pathway that control growth, replication and death in the cancer cell. Researchers have never seen the whole landscape like this before, and it's providing many new insights into strategies to diagnose and treat cancer."
The ultimate goal of the project is to sequence the entire exome – that portion of the genetic blueprint that provides the code for proteins – of the tumor, said Wheeler. In fact, he said, the goal is to sequence genes in 500 brain cancer samples, but the network decided to publish preliminary results.
"When we pulled everything together with just 91 samples, the results were so interesting and important for treatment that we felt we should publish before the end of the project," he said.
Glioblastoma is the most common primary brain tumor. Most people live approximately one year after diagnosis. Understanding this cancer could result in better forms of treatment.
The analysis identified some genes known to cause cancer but whose role in glioblastoma had been previously underestimated, he said. For example, the genes ERBB2 (known to be implicated in breast and other cancers) and NF1 (neurofibromatosis gene 1 involved in a variety of tumors) were both found to be frequently mutated in this brain tumor. Other genes that previously had no known role in glioblastoma such as PIK3R1, a gene involved in regulating the metabolic actions of insulin were also found mutated in a variety of tumors.
In addition, the analysis gave scientists a wide view of how cell pathways are altered during the initiation and growth of glioblastoma.
"If we know what pathways are key to the formation of a tumor, we can design drugs to block those pathways," said Wheeler. "In cancer, key pathways are co-opted to make the cell grow and divide in an uncontrolled fashion."
For example, the TP53 pathway tells mutated cells to die in a process called apoptosis.
"It's a fail-safe mechanism," said Wheeler. "If a cell starts to become cancerous, p53 causes the cell to kill itself. If that pathway is knocked out, the cell avoids the fail-safe mechanism and can continue to divide."
Other pathways involved in the sequencing effort are also disrupted to allow the cancer to grow, he said.
Glenna Picton | EurekAlert!
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Previous detections of gravitational waves have all involved the merger of two black holes, a feat that won the 2017 Nobel Prize in Physics earlier this month....
Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
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