The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine
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The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine. / Doll, Sophia; Gnad, Florian; Mann, Matthias.
In: Proteomics - Clinical Applications, Vol. 13, No. 2, e1800113, 2019.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine
AU - Doll, Sophia
AU - Gnad, Florian
AU - Mann, Matthias
N1 - Special Issue: Clinical Proteomics on the Way Towards Implementation
PY - 2019
Y1 - 2019
N2 - The concept of personalized medicine has 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, we highlight pioneering mass spectrometry-based proteomic studies that pave the way towards clinical implementation. We argue that proteomics and phosphoproteomics could provide the missing link to make omics analysis actionable in the clinic. This article is protected by copyright. All rights reserved.
AB - The concept of personalized medicine has 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, we highlight pioneering mass spectrometry-based proteomic studies that pave the way towards clinical implementation. We argue that proteomics and phosphoproteomics could provide the missing link to make omics analysis actionable in the clinic. This article is protected by copyright. All rights reserved.
U2 - 10.1002/prca.201800113
DO - 10.1002/prca.201800113
M3 - Review
C2 - 30790462
VL - 13
JO - Proteomics - Clinical Applications
JF - Proteomics - Clinical Applications
SN - 1862-8346
IS - 2
M1 - e1800113
ER -
ID: 214023271