Evidence map›Paper›PMID 19502776›Full record

ReviewCancer biology & therapy2009

The evolving role of mass spectrometry in cancer biomarker discovery.

Pei Wang, Jeffrey R Whiteaker, Amanda G Paulovich

Abstract readReview
In one paragraph

Review in Cancer biology & therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Clinical potential of mass spectrometry-based proteogenomics.Nature reviews. Clinical oncology · 2019
    Review
  9. Review
  10. Article
  11. Urinary biomarkers for renal tract malformations.Expert review of proteomics · 2016
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
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

3 authors.

Pei WangFred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle, WA 98109, USA.
Jeffrey R Whiteaker
Amanda G Paulovich

Funding

Measuring Cancer Biomarker Candidates by Targeted MS and Ab EnrichmentU24CA126476 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CARR, STEVEN A · 2006 to 2010
$14.6M
NCI NIH HHS U24 CA126476
6 · The paper itself

Abstract

Although the field of mass spectrometry-based proteomics is still in its infancy, recent developments in targeted proteomic techniques have left the field poised to impact the clinical protein biomarker pipeline now more than at any other time in history. for proteomics to meet its potential for finding biomarkers, clinicians, statisticians, epidemiologists and chemists must work together in an interdisciplinary approach. These interdisciplinary efforts will have the greatest chance for success if participants from each discipline have a basic working knowledge of the other disciplines. To that end, the purpose of this review is to provide a nontechnical overview of the emerging/evolving roles that mass spectrometry (especially targeted modes of mass spectrometry) can play in the biomarker pipeline, in hope of making the technology more accessible to the broader community for biomarker discovery efforts. Additionally, the technologies discussed are broadly applicable to proteomic studies, and are not restricted to biomarker discovery.

Indexed as

Biomarkers, TumorHumansMass SpectrometryNeoplasmsProteomicsBiomarkers, Tumor

Identifiers

PMID19502776
PMCPMC2957893

What OpenQuestion holds

Textmetadata
LicenceTDM
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.