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Research at Vanderbilt

Colon cancer’s protein signatures identified

by | Posted on Thursday, Jul. 24, 2014 — 9:03 AM

Dan Liebler, Ph.D., and colleagues identified protein “signatures” of genetic mutations that drive colorectal cancer, the nation’s second leading cause of cancer deaths after lung cancer. (photo by Susan Urmy)

A Vanderbilt University-led research team has identified protein “signatures” of genetic mutations that drive colorectal cancer, the nation’s second leading cause of cancer deaths after lung cancer.

The technological tour de force, described as the first integrated “proteogenomic” characterization of human cancer, was reported online this week by the journal Nature. It “will enable new advances” in diagnosing and treating the disease, the researchers concluded.

“It’s a first-of-its-kind paper. I think it’s a very important advance in the field,” said senior author Daniel Liebler, Ph.D., Ingram Professor of Cancer Research and director of the Jim Ayers Institute for Precancer Detection and Diagnosis at the Vanderbilt-Ingram Cancer Center.

The research team, representing Vanderbilt and six other institutions, is part of the Clinical Proteomic Tumor Analysis Consortium (CPTAC), sponsored by the National Cancer Institute of the National Institutes of Health.

Proteomics is the study of proteins. While many genetic mutations associated with cancer have been identified, it has been more difficult to analyze the structure and function of proteins that actually do cancer’s “work.” Until now.

The researchers used advanced mass spectrometry techniques to gather proteomic data on 95 human colorectal tumor samples characterized previously by The Cancer Genome Atlas, a federally funded project to identify genetic abnormalities in cancer.

Data analysis was led by first author Bing Zhang, Ph.D., associate professor of Biomedical Informatics. ”Integrating the proteomics data with the vast amount of pre-existing genomic data is a daunting task,” Zhang said, “however, it is also the key to turn the data into novel insights.”

Jim Ayers, center, greets members of the research team during an Ayers Institute board meeting in April. From left are Qi Liu, Ph.D., Zhiao Shi, Ph.D., and the paper's first author, Bing Zhang, Ph.D. Janet Ayers is at far right. (photo by Joe Howell)

It is a basic biological principle that DNA — the genetic code — is “transcribed” into messenger RNA, then “translated” into proteins. Yet the researchers found that abnormalities in the genes or even the RNA of the samples did not necessarily “translate” into abnormal proteins.

Similarly, some sections of chromosomes that were “amplified” in the tumor samples did not result in amplified or increased protein levels.

Those that did, however, produced “striking effects,” suggesting that proteomics might help identify and prioritize the most “impactful” genetic abnormalities that could be targets for new diagnostic tests or drug treatments, Liebler said.

The researchers also identified five subtypes of colon cancer based on their protein content, one of which was associated with poor outcomes. Proteomics thus may help identify patients who would benefit most from chemotherapy after surgery.

“Our discovery of proteomic subtypes opens the door to protein-based diagnostics that could potentially identify the bad cancers that need the aggressive therapy,” Liebler said. “That’s what we’re really hot on going forward.”

Liebler said that the support of the Ayers Institute, established in 2005 with a $10 million gift from Jim Ayers, chairman of FirstBank in Lexington, Tenn., and his wife Janet Ayers, was critical for building the infrastructure for conducting the research.

“Without the Ayers Institute, we wouldn’t have been in a position to even apply for the CPTAC program, to be a part of this at all,” he said.

“This is exciting news that appears to have tremendous implications for cancer diagnosis and treatment,” Janet Ayers said. “Jim and I extend our congratulations to Dr. Liebler and the team working with the Jim Ayers Institute for Precancer Detection and Diagnosis at the Vanderbilt-Ingram Cancer Center.

“These are the kinds of discoveries we hoped for when the institute was launched just a few years ago,” she said. “To start seeing results like this so quickly is extremely rewarding.”

Vanderbilt co-authors from the departments of Biochemistry, Biomedical Informatics, Computer Science and Surgery were Jing Wang, Ph.D., Xiaojing Wang, Ph.D., Jing Zhu, Ph.D., Qi Liu, Ph.D., Zhiao Shi, Ph.D., Matthew Chambers, Lisa Zimmerman, Ph.D., Kent Shaddox, David Tabb, Ph.D., Robert Coffey Jr., M.D., and Robert J.C. Slebos, Ph.D.

Others were from the Pacific Northwest National Laboratory in Richland, Washington, Washington University School of Medicine in St. Louis, Seattle’s Fred Hutchinson Cancer Research Center, New York’s Icahn School of Medicine at Mount Sinai, the National Cancer Institute and the Broad Institute of MIT and Harvard.

The study was supported by NIH grants CA159988, CA160035, CA160034, CA095103, CA068485 and GM088822.

Contact:
Bill Snyder, (615) 322-4747
william.snyder@Vanderbilt.Edu


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