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 journalReviewResearchpeer-review

Harvard

Doll, S, Gnad, F & Mann, M 2019, 'The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine', Proteomics - Clinical Applications, vol. 13, no. 2, e1800113. https://doi.org/10.1002/prca.201800113

APA

Doll, S., Gnad, F., & Mann, M. (2019). The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine. Proteomics - Clinical Applications, 13(2), [e1800113]. https://doi.org/10.1002/prca.201800113

Vancouver

Doll S, Gnad F, Mann M. The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine. Proteomics - Clinical Applications. 2019;13(2). e1800113. https://doi.org/10.1002/prca.201800113

Author

Doll, Sophia ; Gnad, Florian ; Mann, Matthias. / The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine. In: Proteomics - Clinical Applications. 2019 ; Vol. 13, No. 2.

Bibtex

@article{9c8a65d7fb4b40ba89ea5908c0821a6a,
title = "The Case for Proteomics and Phospho-Proteomics in Personalized Cancer Medicine",
abstract = "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.",
author = "Sophia Doll and Florian Gnad and Matthias Mann",
note = "Special Issue: Clinical Proteomics on the Way Towards Implementation",
year = "2019",
doi = "10.1002/prca.201800113",
language = "English",
volume = "13",
journal = "Proteomics - Clinical Applications",
issn = "1862-8346",
publisher = "Wiley - V C H Verlag GmbH & Co. KGaA",
number = "2",

}

RIS

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