Evidence map›Paper›PMID 24207061›Full record

ArticleClinical proteomics2013

Identification of a seven glycopeptide signature for malignant pleural mesothelioma in human serum by selected reaction monitoring.

Ferdinando Cerciello, Meena Choi, Annalisa Nicastri, Damaris Bausch-Fluck, Annemarie Ziegler, Olga Vitek, Emanuela Felley-Bosco, Rolf Stahel, Ruedi Aebersold, Bernd Wollscheid

Abstract read
In one paragraph

Article in Clinical proteomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Site-SpecificJournal of proteome research · 2021
    Article
  2. Verification of a Blood-Based Targeted Proteomics Signature for Malignant Pleural Mesothelioma.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  3. Circulating biomarkers in malignant pleural mesothelioma.Exploration of targeted anti-tumor therapy · 2020
    Review
  4. The in silico human surfaceome.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  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

10 authors.

Ferdinando CercielloDepartment of Biology, Institute of Molecular Systems Biology, Swiss Federal Institute of Technology (ETH) Zürich, Wolfgang-Pauli Strasse 16, 8093 Zürich, Switzerland. ferdinando.cerciello@gmail.com.
Meena Choi
Annalisa Nicastri
Damaris Bausch-Fluck
Annemarie Ziegler
Olga Vitek
Emanuela Felley-Bosco
Rolf Stahel
Ruedi Aebersold
Bernd Wollscheid

Funding

European Research Council 233226
6 · The paper itself

Abstract

backgroundSerum biomarkers can improve diagnosis and treatment of malignant pleural mesothelioma (MPM). However, the evaluation of potential new serum biomarker candidates is hampered by a lack of assay technologies for their clinical evaluation. Here we followed a hypothesis-driven targeted proteomics strategy for the identification and clinical evaluation of MPM candidate biomarkers in serum of patient cohorts.

resultsBased on the hypothesis that cell surface exposed glycoproteins are prone to be released from tumor-cells to the circulatory system, we screened the surfaceome of model cell lines for potential MPM candidate biomarkers. Selected Reaction Monitoring (SRM) assay technology allowed for the direct evaluation of the newly identified candidates in serum. Our evaluation of 51 candidate biomarkers in the context of a training and an independent validation set revealed a reproducible glycopeptide signature of MPM in serum which complemented the MPM biomarker mesothelin.

conclusionsOur study shows that SRM assay technology enables the direct clinical evaluation of protein-derived candidate biomarker panels for which clinically reliable ELISA's currently do not exist.

Identifiers

PMID24207061
PMCPMC3827840

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.