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Proteomics Clin Appl. 2019 Mar;13(2):e1800113. doi: 10.1002/prca.201800113.

The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine.

Doll S1,2, Gnad F3, Mann M1,2.

Author information

1
Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152, Martinsried, Germany.
2
NNF Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark.
3
Department of Bioinformatics and Computational Biology, Cell Signaling Technology Inc, 01923, Danvers, MA, USA.

Abstract

The concept of personalized medicine is predominantly been pursued through genomic and transcriptomic technologies, leading to the identification of multiple mutations in a large variety of cancers. However, it has proven challenging to distinguish driver and passenger mutations and to deal with tumor heterogeneity and resistant clonal populations. More generally, these heterogeneous mutation patterns do not in themselves predict the tumor phenotype. Analysis of the expressed proteins in a tumor and their modification states reveals if and how these mutations are translated to the functional level. It is already known that proteomic changes including posttranslational modifications are crucial drivers of oncogenesis, but proteomics technology has only recently become comparable in depth and accuracy to RNAseq. These advances also allow the rapid and highly sensitive analysis of formalin-fixed and paraffin-embedded biobank tissues, on both the proteome and phosphoproteome levels. In this perspective, pioneering mass spectrometry-based proteomic studies are highlighted that pave the way toward clinical implementation. It is argued that proteomics and phosphoproteomics could provide the missing link to make omics analysis actionable in the clinic.

KEYWORDS:

clinical proteomics; mass spectrometry; oncology

PMID:
30790462
DOI:
10.1002/prca.201800113
[Indexed for MEDLINE]

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