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Proteomics advances for precision therapy in ovarian cancer
Journal article   Open access   Peer reviewed

Proteomics advances for precision therapy in ovarian cancer

Marilyne Labrie, Nicholas D Kendsersky, Hongli Ma, Lydia Campbell, Jennifer Eng, Koei Chin and Gordon B Mills
Expert review of proteomics, v 16(10), pp 841-850
03 Oct 2019
PMID: 31512530
url
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814571View
Accepted (AM)Open Access (License Unspecified) Open

Abstract

adaptive responses Ovarian cancer proteomics
Introduction: Due to the relatively low mutation rate and high frequency of copy number variation, finding actionable genetic drivers of high-grade serous carcinoma (HGSC) is a challenging task. Furthermore, emerging studies show that genetic alterations are frequently poorly represented at the protein level adding a layer of complexity. With improvements in large-scale proteomic technologies, proteomics studies have the potential to provide robust analysis of the pathways driving high HGSC behavior. Areas covered: This review summarizes recent large-scale proteomics findings across adequately sized ovarian cancer sample sets. Key words combined with 'ovarian cancer' including 'proteomics', 'proteogenomic', 'reverse-phase protein array', 'mass spectrometry', and 'adaptive response', were used to search PubMed. Expert opinion: Proteomics analysis of HGSC as well as their adaptive responses to therapy can uncover new therapeutic liabilities, which can reduce the emergence of drug resistance and potentially improve patient outcomes. There is a pressing need to better understand how the genomic and epigenomic heterogeneity intrinsic to ovarian cancer is reflected at the protein level and how this information could be used to improve patient outcomes.

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Collaboration types
Domestic collaboration
Web of Science research areas
Biochemical Research Methods
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