2017
DOI: 10.1002/prca.201700074
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Clinical Proteomics for Precision Medicine: The Bladder Cancer Case

Abstract: Precision medicine can improve patient management by guiding therapeutic decision based on molecular characteristics. The concept has been extensively addressed through the application of -omics-based approaches. Proteomics attract high interest, as proteins reflect a "real-time" dynamic molecular phenotype. Focusing on proteomics applications for personalized medicine, a literature search was conducted to cover: a) disease prevention, b) monitoring/ prediction of treatment response, c) stratification to guide… Show more

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Cited by 25 publications
(21 citation statements)
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“…Proteome data represent the combined effect of the genetic, epigenetic, transcriptional and translational regulation and proteomics applications will thus provide valuable information about the "real-time" dynamic molecular phenotype (85). The quantitative proteomic analysis will be essential to understand underlying disease mechanisms which in turn will shed light on disease diagnosis, prevention, intervention, monitoring, and prediction of the treatment response (86).…”
Section: Proteomicsmentioning
confidence: 99%
“…Proteome data represent the combined effect of the genetic, epigenetic, transcriptional and translational regulation and proteomics applications will thus provide valuable information about the "real-time" dynamic molecular phenotype (85). The quantitative proteomic analysis will be essential to understand underlying disease mechanisms which in turn will shed light on disease diagnosis, prevention, intervention, monitoring, and prediction of the treatment response (86).…”
Section: Proteomicsmentioning
confidence: 99%
“…However, the final output of gene expression, the protein, is regulated by a number of different cellular processes and posttranslational modifications -crucial for proper protein function -that are not detected by genomic techniques. High-throughput proteomic approaches have been recently gaining territory as a promising alternative to identifying molecular signatures of disease in schizophrenia and other psychiatric disorders [3,4], and they are widely used to study illnesses such as Alzheimer's disease and cancer [5,6].…”
Section: Introductionmentioning
confidence: 99%
“…While the growth of protein biomarkers is supported by the development of proteomics techniques, precision medicine clearly depends on the implementation of stratification and prognosis biomarkers assessing patient's risk of disease and/or anticipated response to treatment . Although the partition in Figure A suggests that the diagnostic biomarkers are still dominating, stratification and prognostic biomarkers are gradually gathering momentum through their use in ever increasing numbers of clinical trials, promising to have a significant impact on disease management.…”
Section: Discussionmentioning
confidence: 99%