In this application, we propose a Clinical Proteomic Technology Assessment for Cancer (CPTAC) program at Vanderbilt University, which will work as part of the NCI CPTAC consortium to compare, improve, and standardize proteomic technologies for clinical cancer research. The rapid advance of mass spectrometry (MS) and related technologies offers powerful new tools to analyze proteomes. Recent work indicates that distinct patterns of proteome expression characterize not only different cancers but also distinguish phenotypes that reflect the course of disease and response to therapy. The Vanderbilt CPTAC will address three broad goals. First, shotgun proteome methods will be improved in both throughput and reproducibility and standardized both in analytical methods and data analysis. Second, targeted quantitative analyses by stable isotope dilution LC-MS-MS and reverse phase antibody array technology will be used to quantify candidate markers. Third, these platforms and accompanying data analysis tools will be standardized to enable interlaboratory collaborations in biomarker discovery and analysis. Initial work will employ mouse models of human cancer for technology development and validation. The Vanderbilt CPTAC program will also collect clinical specimens from patients with breast, lung, and colorectal cancers, and these specimens will be used to define the application of shotgun proteome analysis platforms to discovery and quantitation of cancer biomarkers. We will work with the NCI and members of the CPTAC to develop well defined and comprehensively characterized sets of standard/reference materials, reagents, and bioinformatics tools to serve as resources for the research community.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
3U24CA126479-04S2
Application #
7915925
Study Section
Special Emphasis Panel (ZCA1-SRRB-C (O1))
Program Officer
Rodriguez, Henry
Project Start
2009-08-01
Project End
2011-07-31
Budget Start
2009-08-01
Budget End
2011-07-31
Support Year
4
Fiscal Year
2009
Total Cost
$395,000
Indirect Cost
Name
Vanderbilt University Medical Center
Department
Biochemistry
Type
Schools of Medicine
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37212
Guo, H; Gao, M; Lu, Y et al. (2014) Coordinate phosphorylation of multiple residues on single AKT1 and AKT2 molecules. Oncogene 33:3463-72
Halvey, Patrick J; Wang, Xiaojing; Wang, Jing et al. (2014) Proteogenomic analysis reveals unanticipated adaptations of colorectal tumor cells to deficiencies in DNA mismatch repair. Cancer Res 74:387-97
Wang, Xia; Chambers, Matthew C; Vega-Montoto, Lorenzo J et al. (2014) QC metrics from CPTAC raw LC-MS/MS data interpreted through multivariate statistics. Anal Chem 86:2497-509
Lin, De; Alborn, William E; Slebos, Robbert J C et al. (2013) Comparison of protein immunoprecipitation-multiple reaction monitoring with ELISA for assay of biomarker candidates in plasma. J Proteome Res 12:5996-6003
Liu, Qi; Ullery, Jody; Zhu, Jing et al. (2013) RNA-seq data analysis at the gene and CDS levels provides a comprehensive view of transcriptome responses induced by 4-hydroxynonenal. Mol Biosyst 9:3036-46
Liebler, Daniel C; Zimmerman, Lisa J (2013) Targeted quantitation of proteins by mass spectrometry. Biochemistry 52:3797-806
Liu, Qi; Halvey, Patrick J; Shyr, Yu et al. (2013) Integrative omics analysis reveals the importance and scope of translational repression in microRNA-mediated regulation. Mol Cell Proteomics 12:1900-11
Zhu, Jing; Wang, Jing; Shi, Zhiao et al. (2013) Deciphering genomic alterations in colorectal cancer through transcriptional subtype-based network analysis. PLoS One 8:e79282
Slebos, Robbert J C; Jehmlich, Nico; Brown, Brandee et al. (2013) Proteomic analysis of oropharyngeal carcinomas reveals novel HPV-associated biological pathways. Int J Cancer 132:568-79
Halvey, Patrick J; Ferrone, Cristina R; Liebler, Daniel C (2012) GeLC-MRM quantitation of mutant KRAS oncoprotein in complex biological samples. J Proteome Res 11:3908-13

Showing the most recent 10 out of 51 publications