Disease Markers

Disease Markers / 2010 / Article
Special Issue

Systems Biology of Biomarkers

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Volume 28 |Article ID 270859 | https://doi.org/10.3233/DMA-2010-0696

Sharon Pitteri, Sam Hanash, "A Systems Approach to the Proteomic Identification of Novel Cancer Biomarkers", Disease Markers, vol. 28, Article ID 270859, 7 pages, 2010. https://doi.org/10.3233/DMA-2010-0696

A Systems Approach to the Proteomic Identification of Novel Cancer Biomarkers

Received31 May 2010
Accepted31 May 2010


The proteomics field has experienced rapid growth with technologies achieving ever increasing accuracy, sensitivity, and throughput, and with availability of computational tools to address particular applications. Given that the proteome represents the most functional component encoded for in the genome, a systems approach to disease investigations and biomarker identification benefits substantially from integration of proteome level studies. Here we present proteomic approaches that have allowed systematic searches for potential cancer markers by integrating cancer cell profiling with additional sources of data, as illustrated with recent studies of ovarian cancer.

Copyright © 2010 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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