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Proteomic profiling of human plasma for cancer biomarker discovery
Author(s) -
Huang Zhao,
Ma Linguang,
Huang Canhua,
Li Qifu,
Nice Edouard C.
Publication year - 2017
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201600240
Subject(s) - biomarker discovery , proteome , biomarker , computational biology , proteomics , human proteome project , cancer biomarkers , biology , bioinformatics , profiling (computer programming) , cancer , personalized medicine , computer science , genetics , gene , operating system
Over the past decades, substantial advances have been made in both the early diagnosis and accurate prognosis of many cancers because of the impressive development of novel proteomic strategies. However, it remains difficult to standardize proteomic approaches. In addition, the heterogeneity of proteins in distinct tissues results in incomplete population of the whole proteome, which inevitably limits its clinical practice. As one of the most complex proteomes in the human body, the plasma proteome contains secreted proteins originating from multiple organs and tissues, making it a favorable matrix for comprehensive biomarker discovery. Here, we will discuss the roles of plasma proteome profiling in cancer biomarker discovery and validation, and highlight both the inherent advantages and disadvantages. Although several hurdles lay ahead, further advances in this technology will greatly increase our understanding of cancer biology, reveal new biomarkers and biomarker panels, and open a new avenue for more efficient early diagnosis and surveillance of cancer, leading toward personalized medicine.