Evidence map›Paper›PMID 16395400›Full record

ArticleThe Journal of clinical investigation2006

Serum peptidome for cancer detection: spinning biologic trash into diagnostic gold.

Lance A Liotta, Emanuel F Petricoin

Abstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
–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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Identification of Hip BMD Loss and Fracture Risk Markers Through Population-Based Serum Proteomics.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2017
    Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Protein biomarker druggability profiling.Journal of biomedical informatics · 2017
    Article
  13. Article
  14. Article
  15. Identification of Serum Peptidome Signatures of Non-Small Cell Lung Cancer.International journal of molecular sciences · 2016
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Analysis of the differences of serum protein mass spectrometry in patients with triple negative breast cancer and non-triple negative breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Lance A LiottaCenter for Applied Proteomics and Molecular Medicine, College of Arts and Sciences, George Mason University, Manassas, Virginia 20110, USA. lliotta@gmu.edu
Emanuel F Petricoin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The low molecular weight region of the serum peptidome contains protein fragments derived from 2 sources: (a) high-abundance endogenous circulating proteins and (b) cell and tissue proteins. While some researchers have dismissed the serum peptidome as biological trash, recent work using mass spectrometry-based (MS-based) profiling has indicated that the peptidome may reflect biological events and contain diagnostic biomarkers. In this issue of the JCI, Villanueva et al. report on MS-based peptide profiling of serum samples from patients with advanced prostate, bladder, or breast cancer as well as from healthy controls. Surprisingly, the peptides identified as cancer-type-specific markers proved to be products of enzymatic breakdown generated after patient blood collection. The impact of these results on cancer biomarker discovery efforts is significant because it is widely believed that proteolysis occurring ex vivo should be suppressed because it destroys endogenous biomarkers. Villanueva et al. now suggest that this suppression may in fact be preventing biomarker generation.

Indexed as

ProteomeBiomarkersGene Expression ProfilingGene Expression RegulationHumansNeoplasm ProteinsNeoplasmsPeptide FragmentsReference ValuesBiomarkersNeoplasm ProteinsPeptide FragmentsProteome

Identifiers

PMID16395400
PMCPMC1323272

What OpenQuestion holds

Textmetadata
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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.