TY - JOUR
T1 - Reproducible quantification of cancer-associated proteins in body fluids using targeted proteomics
AU - Hüttenhain, Ruth
AU - Soste, Martin
AU - Selevsek, Nathalie
AU - Röst, Hannes
AU - Sethi, Atul
AU - Carapito, Christine
AU - Farrah, Terry
AU - Deutsch, Eric W.
AU - Kusebauch, Ulrike
AU - Moritz, Robert L.
AU - Niméus-Malmström, Emma
AU - Rinner, Oliver
AU - Aebersold, Ruedi
PY - 2012/7/11
Y1 - 2012/7/11
N2 - The rigorous testing of hypotheses on suitable sample cohorts is a major limitation in translational research. This is particularly the case for the validation of protein biomarkers; the lack of accurate, reproducible, and sensitive assays for most proteins has precluded the systematic assessment of hundreds of potential marker proteins described in the literature. Here, we describe a high-throughput method for the development and refinement of selected reaction monitoring (SRM) assays for human proteins. The method was applied to generate such assays for more than 1000 cancer-associated proteins, which are functionally related to candidate cancer driver mutations. We used the assays to determine the detectability of the target proteins in two clinically relevant samples: plasma and urine. One hundred eighty-two proteins were detected in depleted plasma, spanning five orders of magnitude in abundance and reaching below a concentration of 10 ng/ml. The narrower concentration range of proteins in urine allowed the detection of 408 proteins. Moreover, we demonstrate that these SRM assays allow reproducible quantification by monitoring 34 biomarker candidates across 83 patient plasma samples. Through public access to the entire assay library, researchers will be able to target their cancer-associated proteins of interest in any sample type using the detectability information in plasma and urine as a guide. The generated expandable reference map of SRM assays for cancer-associated proteins will be a valuable resource for accelerating and planning biomarker verification studies.
AB - The rigorous testing of hypotheses on suitable sample cohorts is a major limitation in translational research. This is particularly the case for the validation of protein biomarkers; the lack of accurate, reproducible, and sensitive assays for most proteins has precluded the systematic assessment of hundreds of potential marker proteins described in the literature. Here, we describe a high-throughput method for the development and refinement of selected reaction monitoring (SRM) assays for human proteins. The method was applied to generate such assays for more than 1000 cancer-associated proteins, which are functionally related to candidate cancer driver mutations. We used the assays to determine the detectability of the target proteins in two clinically relevant samples: plasma and urine. One hundred eighty-two proteins were detected in depleted plasma, spanning five orders of magnitude in abundance and reaching below a concentration of 10 ng/ml. The narrower concentration range of proteins in urine allowed the detection of 408 proteins. Moreover, we demonstrate that these SRM assays allow reproducible quantification by monitoring 34 biomarker candidates across 83 patient plasma samples. Through public access to the entire assay library, researchers will be able to target their cancer-associated proteins of interest in any sample type using the detectability information in plasma and urine as a guide. The generated expandable reference map of SRM assays for cancer-associated proteins will be a valuable resource for accelerating and planning biomarker verification studies.
UR - http://www.scopus.com/inward/record.url?scp=84863923380&partnerID=8YFLogxK
U2 - 10.1126/scitranslmed.3003989
DO - 10.1126/scitranslmed.3003989
M3 - Article
C2 - 22786679
AN - SCOPUS:84863923380
SN - 1946-6234
VL - 4
JO - Science Translational Medicine
JF - Science Translational Medicine
IS - 142
M1 - 142ra94
ER -