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EDRN Biomarker Reference and Resource Center with the Department of Energy


EMSL Project ID
48505

Abstract

The purpose of the Early Detection Research Network (EDRN) Biomarker Reference and Resource Center (BRRC) is to develop a multiplex quantitative MS-based method, based on LC-SRM-MS for simultaneous detection of ~50 prostate cancer biomarkers in tissue and body fluids; to conduct analytical and clinical validation studies, in collaboration with EDRN investigators; to estimate the utility of the developed assay(s) for early detection and diagnosis of prostate cancer; and to develop identical multiplex quantitative detection of biomarkers in additional cancers, pancreas and breast.

Project Details

Start Date
2014-04-24
End Date
2016-09-30
Status
Closed

Team

Principal Investigator

Tao Liu
Institution
Pacific Northwest National Laboratory

Co-Investigator(s)

Karin Rodland
Institution
Pacific Northwest National Laboratory

Team Members

Thomas Fillmore
Institution
Environmental Molecular Sciences Laboratory

Tujin Shi
Institution
Pacific Northwest National Laboratory

Weijun Qian
Institution
Pacific Northwest National Laboratory

David Camp
Institution
Pacific Northwest National Laboratory

Related Publications

He J, AA Schepmoes, T Shi, C Wu, TL Fillmore, Y Gao, RD Smith, W Qian, KD Rodland, T Liu, DG Camp, II, A Rastogi, SH Tan, W Yan, AA Mohamed, W Huang, S Banerjee, J Kagan, S Srivastava, D McLeod, S Srivastava, G Petrovics, A Dobi, and A Srinivasan. 2015. "Analytical platform evaluation for quantification of ERG in prostate cancer using protein and mRNA detection methods ." Journal of Translational Medicine 13(54):, doi:doi:10.1186/s12967-015-0418-z
Shi T, E Song, S Nie, KD Rodland, T Liu, WJ Qian, and RD Smith. 2016. "Advances in targeted proteomics and applications to biomedical research." Biomedical Research 16(15-16):2160-2182. doi:10. 1002/pmic. 201500449
Wang H, T Shi, W Qian, T Liu, J Kagan, S Srivastava, RD Smith, KD Rodland, and DG Camp, II. 2016. "The Clinical Impact of Recent Advances in LC-MS for Cancer Biomarker Discovery and Verification." Expert Review of Proteomics 13(1):99-114. doi:10.1586/14789450.2016.1122529