Abstract
The search for cancer biomarkers remains a challenge. Proteomic tools for cancer biomarker discovery are limited by the need for highly sensitive technologies to analyze small-sized and rare samples. A significant amount of data has been obtained using proteomic strategies; however, the putative protein biomarkers for cancer have had no clinical impact until now. Growing evidence has shown that the search for a single biomarker in cancer is very complex, suggesting that an integrative view of protein datasets is required. Studies have focused on the analysis of oncogenic signaling pathways, identifying specific networks as potential cancer targets. This review discusses the major classical and emerging proteomic strategies used in oncoproteomics studies and how these approaches have contributed to translating basic cancer research to clinics.
Highlights
Proteomic analysis of the oncogenic signaling pathwaysProteomics is widely used to understand oncogenic signaling pathways, as well as tumor-derived markers
The search for cancer biomarkers remains a challenge
Functional proteomics has provided evidences based on MSquantitative proteomics that reveal intrinsic properties of interaction regarding the epidermal growth factor family, such as the ErbB members [24]. These findings showed relevant information about the actual knowledge concerning the specific preferential partners for ErbB members’ interaction during its dimerization, which is proportionally linked to the power of transformation of ErbB dimers in cancer cells
Summary
Proteomics is widely used to understand oncogenic signaling pathways, as well as tumor-derived markers. As reviewed by Jain [18], this field of proteomics focused on cancer research - called oncoproteomics - has grown in recent years and represents a promising area for proteomics-based research breakthrough. The proteomicbased strategies can be useful to predict the behavior of cancer cells and how should they respond to specific cellular interventions. Some newsworthy examples have been pointed out and include the use of 2D-electrophoresis, image analysis and MS as friendly technologies for investigating the differential protein profile between distinct. Received September 18, 2013; Accepted January 27, 2014; Published January 29, 2014
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