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Finding needles in haystacks: the use of quantitative proteomics for the early detection of colorectal cancer

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posted on 2025-05-09, 19:27 authored by Tiffany Gould, Muhammad Jamaluddin, Joel Petit, Simon KingSimon King, Brett NixonBrett Nixon, Rodney ScottRodney Scott, Peter PockneyPeter Pockney, Matthew DunMatthew Dun
Colorectal cancer (CRC) is a common and treatable disease if diagnosed early. Current population screening programs are suboptimal, and consequently, there is a need for the development of new methodologies for early diagnosis of CRC. In the past 10 years, unprecedented technological advancements in the field of mass spectrometry (MS)-based proteomics have progressively increased the sophistication and utility of these investigations, leading to the draft mapping of the human proteome. These exciting studies have shaped our mechanistic understanding of the human genome and begun to provide us with a suite of novel biomarkers to predict the onset, progression and severity of many debilitating diseases. Thus, sophisticated MS workflows coupled with revolutionary protein quantification techniques hold promise for the field of MS-based plasma proteomics, particularly valuable in the context of early stage identification of curable CRC. However, within the last 40 years, no new plasma protein biomarkers of CRC have been translated into clinical practice. Here. we discuss the application of proteomic technologies within the field of CRC, highlighting contemporary MS-based plasma proteomic strategies that could be exploited to deliver on the promise of a panel of sensitive and specific plasma-based biomarkers with which to non-invasively detect early stage CRC.

History

Source title

Advances in the Molecular Understanding of Colorectal Cancer

Pagination

1-32

Editors

Segelov, E.

Publisher

IntechOpen

Place published

Switzerland

Language

  • en, English

College/Research Centre

Faculty of Health and Medicine

School

School of Biomedical Sciences and Pharmacy

Rights statement

© 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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