Abstract
The importance of biomarkers has long been recognized by the public, scientific community, and industry. Yet despite extensive efforts and funding investments in biomarker discovery, only 109 protein biomarkers in plasma or serum were approved by the US Food and Drug Administration throughout 2008 (Anderson NL. Clin Chem 56:177–185, 2010), and even fewer protein biomarkers are currently used routinely in the clinic. In recent years, the introduction of new protein biomarkers approved by the US Food and Drug Administration has fallen to an average of 1.5 per year (a median of only 1 per year) (Anderson NL. Clin Chem 56:177–185, 2010). The low efficiency of biomarker development is due to several reasons, including the poor quality of clinical samples, the gap between subjective clinical definition of a disease and objective protein measurements, and high false discovery rate of differentially expressed proteins identified in the initial discovery phase (Rifai N, Gillette MA, Carr SA. Nat Biotechnol 24:971–983, 2006). It has become clear that the vast majority of differentially expressed proteins identified in the discovery phase will ultimately fail as useful clinical biomarkers, and only few true positive candidates can move through the biomarker development pipeline. Isolation of true biomarkers from the large pool of differentially expressed proteins identified in the discovery phase becomes the greatest challenge and the bottleneck in most biomarker pipelines. To succeed, after the initial discovery study (see Chap. 20), the authenticity of biomarker candidates need to be tested in a pilot study with high throughput, high accuracy and reasonable cost. This essential process is addressed by qualification and verification phase of the biomarker development pipeline.
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Abbreviations
- AIF:
-
All-ion fragmentation
- AIMS:
-
Accurate inclusion mass screening
- AQUA:
-
absolute quantification peptides standard
- CART:
-
classification and regression trees
- CE:
-
capillary electrophoresis
- CFD:
-
complement factor D
- CV:
-
coefficient of variation
- DDA-MS/MS:
-
data-dependent MS/MS acquisition
- DIA-MS/MS:
-
Data-independent MS/MS acquisition
- ELISA:
-
Enzyme-linked immunosorbent assay
- FDR:
-
false positive rate
- FWHM:
-
full width at half maximum
- HCD:
-
higher energy C-trap dissociation
- HPLC:
-
high performance liquid chromatography
- HR/AM:
-
high resolution and mass accuracy
- IPed:
-
immuno-precipitated
- LC:
-
liquid chromatography
- LLOQ:
-
lower limit of quantification
- LOD:
-
limit of detection
- MARS:
-
multivariate adaptive regression splines
- MS:
-
mass spectrometry
- MS/MS:
-
tandem mass spectrometry
- PAcIFIC:
-
Precursor acquisition independent from ion count
- PRM:
-
parallel reaction monitoring
- QCAT:
-
concatemer of standard peptides
- QQQ-MS:
-
triple quadrupole mass spectrometry
- SAM:
-
significance analysis of microarray
- SEC:
-
size-exclusive chromatography
- SID:
-
stable isotope dilution
- SISCAPA:
-
stable isotope-labeled standards with capture by anti-peptide antibodies
- SOPs:
-
standard operating protocols
- SRM:
-
selected reaction monitoring
- SWATH:
-
Sequential window acquisition of all theoretical mass spectra.
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Zhao, Y., Brasier, A.R. (2016). Qualification and Verification of Protein Biomarker Candidates. In: Mirzaei, H., Carrasco, M. (eds) Modern Proteomics – Sample Preparation, Analysis and Practical Applications. Advances in Experimental Medicine and Biology, vol 919. Springer, Cham. https://doi.org/10.1007/978-3-319-41448-5_23
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