New Biomarker Method Could Increase the Number of Diagnostic Tests for Cancer
News Jul 03, 2009
A team of researchers has demonstrated that a new method for detecting and quantifying protein biomarkers in body fluids may ultimately make it possible to screen multiple biomarkers in hundreds of patient samples, thus ensuring that only the strongest biomarker candidates will advance down the development pipeline.
The researchers have developed a method with the potential to increase accuracy in detecting real cancer biomarkers that is highly reproducible across laboratories and a variety of instruments so that cancer can be caught in its earliest stages.
The results of the Clinical Proteomic Technology Assessment for Cancer (CPTAC) study, which is sponsored by the National Cancer Institute (NCI), part of the National Institutes of Health, and partner organizations, appeared online June 28, 2009, in Nature Biotechnology.
"These findings are significant because they provide a potential solution for eliminating one of the major hurdles in validating protein biomarkers for clinical use. Thousands of cancer biomarkers are discovered every day, but only a handful ever makes it through clinical validation. This is a critical roadblock because biomarkers have the potential to allow doctors to detect cancer in the earliest stages, when treatment provides the greatest chances of survival," said John E. Niederhuber, M.D., NCI director.
"The critical limiting factor to date in validating biomarkers for clinical use has been the lack of standardized technologies and methodologies in the biomarker discovery and validation process, and this research may solve that dilemma."
The collaborative and multi-institute nature of this work was critical because many other technologies have yielded test results that vary greatly from one laboratory to the next. NCI's Clinical Proteomic Technologies for Cancer (CPTC) program was established to help solve this problem.
The five institutes that participated in this research as part of the NCI-sponsored CPTAC include the Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge, Mass.; Vanderbilt-Ingram Cancer Center, Nashville, Tenn.; University of California, San Francisco; Purdue University, West Lafayette, Ind., and Memorial Sloan-Kettering Cancer Center, New York City.
Proteomics studies interactions between proteins, which often work in a tag-team fashion to send important signals within a cell. Most proteomic technologies have been based on mass spectrometry, a decades-old technology that determines which proteins are in a specimen based on the mass and electric charge of fragments of each protein.
The current biomarker discovery process typically identifies hundreds of candidate biomarkers in each study using small numbers of samples, leading to very high rate of invalid biomarkers. The biomarkers that are actually valid - that is, true biomarkers - must be culled from lengthy lists of candidates, a time-consuming and not always accurate process.
The CPTAC center network study demonstrates that new applications of existing proteomic techniques show promise of greater accuracy. The findings suggest that two technologies - multiple reaction monitoring
"Our work demonstrates that this technology has the potential to transform how candidate protein biomarkers are evaluated. SID-MRM-MS, combined with complementary techniques, could provide the critical filter to assess protein candidate performance without the immediate need for other detection or quantification tests. This would provide the critical missing component for a systematic biomarker pipeline that bridges discovery and clinical validation," said senior author Steven Carr, Ph.D., director of the Proteomics Platform at the Broad Institute.
"This is an important step forward for the field of proteomics, one that would not have been possible without the collaborative efforts of the CPTAC partners."
Chinese researchers have developed interfacially polymerized porous polymer particles for low- abundance glycopeptide separation. These polymer particles - with hydrophilic-hydrophobic heterostructured nanopores - can separate low-abundance glycopeptides from complex biological samples with high-abundance background molecules efficiently.