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New technique catalogs lymphoma-linked genetic variations

Date:
December 26, 2012
Source:
Johns Hopkins Medicine
Summary:
As anyone familiar with the X-Men knows, mutants can be either very good or very bad — or somewhere in between. The same appears true within cancer cells, which may harbor hundreds of mutations that set them apart from other cells in the body; the scientific challenge has been to figure out which mutations are culprits and which are innocent bystanders. Now, researchers have devised a novel approach to sorting them out: they generated random mutations in a gene associated with lymphoma, tested the proteins produced by the genes to see how they performed, and generated a catalog of mutants with cancer-causing potential.

As anyone familiar with the X-Men knows, mutants can be either very good or very bad -- or somewhere in between. The same appears true within cancer cells, which may harbor hundreds of mutations that set them apart from other cells in the body; the scientific challenge has been to figure out which mutations are culprits and which are innocent bystanders. Now, researchers at Johns Hopkins Medicine have devised a novel approach to sorting them out: they generated random mutations in a gene associated with lymphoma, tested the proteins produced by the genes to see how they performed, and generated a catalog of mutants with cancer-causing potential.

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"Our goal was to correlate various mutations with potential to promote lymphoma," says Joel Pomerantz, Ph.D., an associate professor in the Johns Hopkins School of Medicine's Institute for Cell Engineering. For the study, to be reported in a January 2013 issue of Molecular and Cellular Biology, Pomerantz and his research team focused on the protein CARD11. CARD11 plays a key role in signaling the presence of infection, which leads infection-fighting white blood cells to grow and divide. Certain mutations can turn CARD11 permanently "on," causing out-of-control cell division that results in cancers called lymphomas, which strike about 75,000 Americans each year.

To find out which genetic mutations would increase CARD11's activity, Pomerantz and his team made copies of the CARD11 gene in a way that made random mutations likely. They then used the faulty copies to make mutant proteins, and tested the ability of those proteins to trigger the signaling reaction that is CARD11's specialty. This let the researchers figure out which mutations increased the protein's activity, and by how much -- information that can be compared to emerging data about CARD11 mutations found in human lymphomas. "We found that several of the overactive mutations we'd identified have already been found in patients," Pomerantz says.

Noting that CARD11 is part of the NF-κB signaling pathway, a target of some cancer therapies, Pomerantz says the new cataloging technique could lead to more personalized treatment. "We imagine eventually being able to correlate response to a particular therapy with a particular mutation," he says. For now, Pomerantz and his team are delving deeper into what gives the bad CARD11 mutants their special powers, looking for mechanisms to explain how certain changes increase the protein's activity.

Other authors on the paper are Waipan Chan and Thomas B. Schaffer, both of the Johns Hopkins University School of Medicine.


Story Source:

The above story is based on materials provided by Johns Hopkins Medicine. Note: Materials may be edited for content and length.


Journal Reference:

  1. W. Chan, T. B. Schaffer, J. L. Pomerantz. A Quantitative Signaling Screen Identifies CARD11 Mutations in the CARD and LATCH Domains That Induce Bcl10 Ubiquitination and Human Lymphoma Cell Survival. Molecular and Cellular Biology, 2012; 33 (2): 429 DOI: 10.1128/MCB.00850-12

Cite This Page:

Johns Hopkins Medicine. "New technique catalogs lymphoma-linked genetic variations." ScienceDaily. ScienceDaily, 26 December 2012. <www.sciencedaily.com/releases/2012/12/121226153028.htm>.
Johns Hopkins Medicine. (2012, December 26). New technique catalogs lymphoma-linked genetic variations. ScienceDaily. Retrieved November 24, 2014 from www.sciencedaily.com/releases/2012/12/121226153028.htm
Johns Hopkins Medicine. "New technique catalogs lymphoma-linked genetic variations." ScienceDaily. www.sciencedaily.com/releases/2012/12/121226153028.htm (accessed November 24, 2014).

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