The bottleneck in the cancer biomarker pipeline and protein quantification through mass spectrometry-based approaches: current strategies for candidate verification
- PMID: 20007861
- DOI: 10.1373/clinchem.2009.127019
The bottleneck in the cancer biomarker pipeline and protein quantification through mass spectrometry-based approaches: current strategies for candidate verification
Abstract
Background: Although robust discovery-phase platforms have resulted in the generation of large numbers of candidate cancer biomarkers, a comparable system for subsequent quantitative assessment and verification of all candidates is lacking. Established immunoassays and available antibodies permit analysis of small subsets of candidates; however, the lack of commercially available reagents, coupled with high costs and lengthy production and purification times, have rendered the large majority of candidates untestable.
Content: Mass spectrometry (MS), and in particular multiple reaction monitoring (MRM)-MS, has emerged as an alternative technology to immunoassays for quantification of target proteins. Novel biomarkers are expected to be present in serum in the low (microg/L-ng/L) range, but analysis of complex serum or plasma digests by MS has yielded milligram per liter limits of detection at best. The coupling of prior sample purification strategies such as enrichment of target analytes, depletion of high-abundance proteins, and prefractionation, has enabled reliable penetration into the low microgram per liter range. This review highlights prospects for candidate verification through MS-based methods. We first outline the biomarker discovery pipeline and its existing bottleneck; we then discuss various MRM-based strategies for targeted protein quantification, the applicability of such methods for candidate verification, and points of concern.
Summary: Although it is unlikely that MS-based protein quantification will replace immunoassays in the near future, with the expected improvements in limits of detection and specificity in instrumentation, MRM-based approaches show great promise for alleviating the existing bottleneck to discovery.
Similar articles
-
MRM for the verification of cancer biomarker proteins: recent applications to human plasma and serum.Expert Rev Proteomics. 2014 Apr;11(2):137-48. doi: 10.1586/14789450.2014.877346. Epub 2014 Jan 29. Expert Rev Proteomics. 2014. PMID: 24476379 Review.
-
Immuno-mass spectrometry: quantification of low-abundance proteins in biological fluids.Methods Mol Biol. 2011;728:207-18. doi: 10.1007/978-1-61779-068-3_13. Methods Mol Biol. 2011. PMID: 21468950
-
Direct-S: a directed mass spectrometry method for biomarker verification in native serum.Analyst. 2015 May 21;140(10):3654-62. doi: 10.1039/c5an00165j. Epub 2015 Apr 15. Analyst. 2015. PMID: 25873488
-
Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics.Proteomics. 2012 Apr;12(8):1074-92. doi: 10.1002/pmic.201100436. Proteomics. 2012. PMID: 22577010 Free PMC article. Review.
-
HST-MRM-MS: A Novel High-Sample-Throughput Multiple Reaction Monitoring Mass Spectrometric Method for Multiplex Absolute Quantitation of Hepatocellular Carcinoma Serum Biomarker.J Proteome Res. 2019 Jan 4;18(1):469-477. doi: 10.1021/acs.jproteome.8b00790. Epub 2018 Oct 31. J Proteome Res. 2019. PMID: 30346787
Cited by
-
Interlaboratory reproducibility of selective reaction monitoring assays using multiple upfront analyte enrichment strategies.J Proteome Res. 2012 Aug 3;11(8):3986-95. doi: 10.1021/pr300014s. Epub 2012 Jul 3. J Proteome Res. 2012. PMID: 22639787 Free PMC article.
-
Exosome Processing and Characterization Approaches for Research and Technology Development.Adv Sci (Weinh). 2022 May;9(15):e2103222. doi: 10.1002/advs.202103222. Epub 2022 Mar 25. Adv Sci (Weinh). 2022. PMID: 35332686 Free PMC article. Review.
-
Systematic verification of bladder cancer-associated tissue protein biomarker candidates in clinical urine specimens.Oncotarget. 2018 Jul 20;9(56):30731-30747. doi: 10.18632/oncotarget.24578. eCollection 2018 Jul 20. Oncotarget. 2018. PMID: 30112103 Free PMC article.
-
Identification of novel molecular targets for endometrial cancer using a drill-down LC-MS/MS approach with iTRAQ.PLoS One. 2011 Jan 31;6(1):e16352. doi: 10.1371/journal.pone.0016352. PLoS One. 2011. PMID: 21305022 Free PMC article.
-
Restructuring proteomics through verification.Biomark Med. 2010 Dec;4(6):799-803. doi: 10.2217/bmm.10.92. Biomark Med. 2010. PMID: 21133699 Free PMC article. Review.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources