Evidence map›Paper›PMID 24713096›Full record

ReviewMolecular oncology2014

Mass spectrometry based biomarker discovery, verification, and validation--quality assurance and control of protein biomarker assays.

Carol E Parker, Christoph H Borchers

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed
11.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 233 citations in OpenAlex.

  1. Trial
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  15. Article
  16. A framework for quality control in quantitative proteomics.bioRxiv : the preprint server for biology · 2024
    Article
  17. Review
  18. Review
  19. Review
  20. Proteomics techniques in protein biomarker discovery.Quantitative biology (Beijing, China) · 2024
    Review

40 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Carol E ParkerUniversity of Victoria - Genome British Columbia Proteomics Centre, Vancouver Island Technology Park, #3101 - 4464 Markham St., Victoria, BC V8Z 7X8, Canada.
Christoph H BorchersUniversity of Victoria - Genome British Columbia Proteomics Centre, Vancouver Island Technology Park, #3101 - 4464 Markham St., Victoria, BC V8Z 7X8, Canada; Department of Biochemistry and Microbiology, University of Victoria, Petch Building Room 207, 3800 Finnerty Rd., Victoria, BC V8P 5C2, Canada. Electronic address: christoph@proteincentre.com.
University of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In its early years, mass spectrometry (MS)-based proteomics focused on the cataloging of proteins found in different species or different tissues. By 2005, proteomics was being used for protein quantitation, typically based on "proteotypic" peptides which act as surrogates for the parent proteins. Biomarker discovery is usually done by non-targeted "shotgun" proteomics, using relative quantitation methods to determine protein expression changes that correlate with disease (output given as "up-or-down regulation" or "fold-increases"). MS-based techniques can also perform "absolute" quantitation which is required for clinical applications (output given as protein concentrations). Here we describe the differences between these methods, factors that affect the precision and accuracy of the results, and some examples of recent studies using MS-based proteomics to verify cancer-related biomarkers.

Indexed as

Biomarkers, TumorGenetic Association StudiesHumansMass SpectrometryNeoplasm ProteinsProteomicsQuality ControlValidation Studies as TopicBiomarkers, TumorNeoplasm ProteinsBiomarker discoveryBiomarkersCancerMass spectrometryMultiple reaction monitoringPlasma or serumSelected reaction monitoringTargeted proteomicsValidationVerification

Identifiers

PMID24713096
PMCPMC5528535
OpenAlexW2116355203

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.