This proposal describes a training plan for the candidate by an interdisciplinary group of experts in pancreatic cancer, cancer epidemiology, proteomics, and biostatistical analysis. The mentoring process will include epidemiologic and advanced statistical coursework, critical reading sessions with mentors and co-mentors, training in grant writing and management, as well as the experience of the hands on research. The research proposed is to develop early biomarkers of pancreatic cancer. Pancreatic cancer is an almost uniformly lethal disease because the cancer can not be diagnosed at an early, curable stage. Moreover, once the cancer has formed, chemotherapy offers only minimal improvement in survival. What is needed is a better understanding of how pancreatic cancer forms, and to exploit that knowledge to improve early diagnosis. The study proposes to use proteomics technology to identify the proteins that are specific to pancreatic cancer. In preliminary studies, 30 proteins were shown to have abundance changes of at least two-fold in pancreatic cancer juice compared to normal controls. Validation studies, to date, suggest that the proteomics measurements are robust and accurate. The proteins have been analyzed with regard to function;nearly one quarter of the proteins are unique and their function has not yet been determined. This study will provide the basis for serum biomarker development for early detection of pancreatic cancer in the general population-the goal of this K07 application. The study has the potential to significantly change the outcome in a disease against which we have made minimal headway in the past 50 years. In addition, by the end of the study period the candidate will have transitioned into a well-trained, independent investigator.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Academic/Teacher Award (ATA) (K07)
Project #
5K07CA116296-05
Application #
8078990
Study Section
Subcommittee G - Education (NCI)
Program Officer
Perkins, Susan N
Project Start
2007-07-16
Project End
2013-06-30
Budget Start
2011-07-01
Budget End
2013-06-30
Support Year
5
Fiscal Year
2011
Total Cost
$118,794
Indirect Cost
Name
University of Washington
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
605799469
City
Seattle
State
WA
Country
United States
Zip Code
98195
Chen, Ru; Dawson, David W; Pan, Sheng et al. (2015) Proteins associated with pancreatic cancer survival in patients with resectable pancreatic ductal adenocarcinoma. Lab Invest 95:43-55
Pan, Sheng; Chen, Ru; Tamura, Yasuko et al. (2014) Quantitative glycoproteomics analysis reveals changes in N-glycosylation level associated with pancreatic ductal adenocarcinoma. J Proteome Res 13:1293-306
Pan, Sheng; Brentnall, Teresa A; Kelly, Kimberly et al. (2013) Tissue proteomics in pancreatic cancer study: discovery, emerging technologies, and challenges. Proteomics 13:710-21
Pan, Sheng; Tamura, Yasuko; Chen, Ru et al. (2012) Large-scale quantitative glycoproteomics analysis of site-specific glycosylation occupancy. Mol Biosyst 8:2850-6
Brentnall, Teresa A; Lai, Lisa A; Coleman, Joshua et al. (2012) Arousal of cancer-associated stroma: overexpression of palladin activates fibroblasts to promote tumor invasion. PLoS One 7:e30219
Chen, Ru; Pan, Sheng; Ottenhof, Niki A et al. (2012) Stromal galectin-1 expression is associated with long-term survival in resectable pancreatic ductal adenocarcinoma. Cancer Biol Ther 13:899-907
Pan, Sheng; Chen, Ru; Brand, Randall E et al. (2012) Multiplex targeted proteomic assay for biomarker detection in plasma: a pancreatic cancer biomarker case study. J Proteome Res 11:1937-48
Pan, Sheng; Chen, Ru; Stevens, Tyler et al. (2011) Proteomics portrait of archival lesions of chronic pancreatitis. PLoS One 6:e27574
Pan, Sheng; Chen, Ru; Aebersold, Ruedi et al. (2011) Mass spectrometry based glycoproteomics--from a proteomics perspective. Mol Cell Proteomics 10:R110.003251
Pan, Sheng; Chen, Ru; Crispin, David A et al. (2011) Protein alterations associated with pancreatic cancer and chronic pancreatitis found in human plasma using global quantitative proteomics profiling. J Proteome Res 10:2359-76

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