2015
DOI: 10.2217/fon.15.296
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In Silico Verification and Parallel Reaction Monitoring Prevalidation of Potential Prostate Cancer Biomarkers

Abstract: The pragmatic penultimate screening step, described herein, would immensely improve targeted proteomics validation of potential disease biomarkers.

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Cited by 14 publications
(15 citation statements)
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References 43 publications
(26 reference statements)
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“…The “triple quadrupole” is a cascade of quads, the first performs m/z sorting, the second fragments ions from the first filtering stage, while the third quad selects specific fragmentation products generated [37] .…”
Section: Proteomics Discovery Platforms Used In Prostate Cancer Biomamentioning
confidence: 99%
See 1 more Smart Citation
“…The “triple quadrupole” is a cascade of quads, the first performs m/z sorting, the second fragments ions from the first filtering stage, while the third quad selects specific fragmentation products generated [37] .…”
Section: Proteomics Discovery Platforms Used In Prostate Cancer Biomamentioning
confidence: 99%
“…SRM-MS (Single Reaction Monitoring) was used for discovery and validation of cancer biomarkers in serum [38], including PCa biomarkers [39, 40], as well as the MRM-MS approach (Multiple Reaction Monitoring - MS [37]. …”
Section: Proteomics Discovery Platforms Used In Prostate Cancer Biomamentioning
confidence: 99%
“…Of the 12 potential biomarkers found, several were found in the urine of both normal patients and patients with prostate cancer, insinuating that proteomic urinalysis is not infallible. The protein HPR is more commonly found in the urine of patients with prostate cancer, though it has been found in one healthy individual in the study [29]. In another study, conducted by Percy et al described that 136 proteins, of greater than five order of magnitude, found in urine can be applied to prostate cancer samples, a possible means of diagnosis [30].…”
Section: Proteomics In Urologymentioning
confidence: 82%
“…Among these 82 identified biomarkers, nine biomarkers were identified that suggested racial differences among the ethnicities in the cohort. Verification and prevalidation of the 82 biomarkers using both experimental ‘parallel reaction monitoring’ and in silico computational methods enabled identification of the top performing 12 potential biomarkers [90], ready for translation through a large scale, multiplatform and multicenter targeted proteomics validation study. Furthermore, relating to the ability of cancers to stimulate humoral immune response in the body, 41 novel potential serological autoantibody profiles have been identified in a South African PCa patient cohort ( N = 67) [91].…”
Section: Proteomics Biomarker Discovery In Africamentioning
confidence: 99%
“…In silico prevalidation is required in early phase of biomarkers development study [21, 90], to optimize potential biomarkers prior to large scale studies. The cost implication and infrastructure needed for large scale validation of omics based biomarkers can be prohibitive [125], hence collaborative efforts such as the EDRN are necessary to achieve this goal [98].…”
Section: Challenges and Prospects Of Pca Proteomics Biomarker Discovementioning
confidence: 99%