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Bioinformatics of Human Proteomics pp 75–101Cite as

Proteomics and Cancer Research

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Part of the book series: Translational Bioinformatics ((TRBIO,volume 3))

Abstract

Cancer presents high mortality and morbidity globally, largely due to its complex and heterogeneous nature as well as the lack of effective biomarkers. There is an urgent need to identify clinically relevant markers for better diagnosis, prognosis, monitoring treatment efficacy, and accelerating the development of novel targeted therapeutics. Proteomics study of cancer may identify and characterize functional proteins that drive the transformation of malignancy as well as discover biomarkers to detect early-stage cancer, predict prognosis, determine therapy efficacy, identify novel drug targets, and ultimately develop personalized medicine. The technology platforms for proteomics analysis have advanced considerably over the last few years. Driven by these advancements in technology, a number of potential biomarkers have been identified in the tissues, blood, and body fluids.

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Acknowledgements

Special thanks for the support from International Society for Translational Medicine (www.istmed.org) and Professor Xiangdong Wang.

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Authors and Affiliations

  1. Department of Oncohematology of Children, Hospital Universitario Niño Jesús, Madrid, Spain

    Elena Lopez Villar Ph.D.

  2. Department of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong

    William Chi-Shing Cho Ph.D., RCMP, Chartered Scientist (UK), FHKIMLS, FHKSMDS, FIBMS (UK)

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  1. Elena Lopez Villar Ph.D.
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  2. William Chi-Shing Cho Ph.D., RCMP, Chartered Scientist (UK), FHKIMLS, FHKSMDS, FIBMS (UK)
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Correspondence to William Chi-Shing Cho Ph.D., RCMP, Chartered Scientist (UK), FHKIMLS, FHKSMDS, FIBMS (UK) .

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  1. , Medicine, Biomedical Research Center, Fudan University Zhongshan Hospital, Shang Hai, China, People's Republic

    Xiangdong Wang

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Villar, E.L., Cho, W.CS. (2013). Proteomics and Cancer Research. In: Wang, X. (eds) Bioinformatics of Human Proteomics. Translational Bioinformatics, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5811-7_4

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