Evidence map›Paper›PMID 25290619›Full record

ArticleProteomics. Clinical applications2014

Discovery of serum biomarkers of ovarian cancer using complementary proteomic profiling strategies.

John F Timms, Elif Arslan-Low, Musarat Kabir, Jenny Worthington, Stephane Camuzeaux, John Sinclair, Joanna Szaub, Babak Afrough, Vladimir N Podust, Evangelia-Ourania Fourkala and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Proteomics. Clinical applications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.8field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. DIGE Analysis of Immunodepleted Plasma.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  8. Roles of Antimicrobial Peptides in Gynecological Cancers.International journal of molecular sciences · 2022
    Review
  9. Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects.International journal of environmental research and public health · 2021
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The plasma peptides of ovarian cancer.Clinical proteomics · 2018
    Article
  18. Article
  19. Article
  20. Contributions of immunoaffinity chromatography to deep proteome profiling of human biofluids.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2016
    Review
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

16 authors at 3 institutions in 3 countries.

John F TimmsEGA Institute for Women's Health, University College London, London, UK.
Elif Arslan-Low
Musarat Kabir
Jenny Worthington
Stephane Camuzeaux
John Sinclair
Joanna Szaub
Babak Afrough
Vladimir N Podust
Evangelia-Ourania Fourkala
Myriam Cubizolles
Florian Kronenberg
Eric T Fung
Aleksandra Gentry-Maharaj
Usha Menon
Ian Jacobs
University College London · GBCipher Gene (China) · CNInnsbruck Medical University · AT

Funding

Cancer Research UK 12677Cancer Research UK A12677Medical Research Council G0801228
6 · The paper itself

Abstract

purposeOvarian cancer is a devastating disease and biomarkers for its early diagnosis are urgently required. Serum may be a valuable source of biomarkers that may be revealed by proteomic profiling. Herein, complementary serum protein profiling strategies were employed for discovery of biomarkers that could discriminate cases of malignant and benign ovarian cancer. EXPERIMENTAL

designIdentically collected and processed serum samples from 22 cases of invasive epithelial ovarian cancer, 45 benign ovarian neoplasms, and 64 healthy volunteers were subjected to immunodepletion and protein equalization coupled to 2D-DIGE/MS and multidimensional fractionation coupled to SELDI-TOF profiling with MS/MS for protein identification. Selected candidates were verified by ELISA in samples from malignant (n = 70) and benign (n = 89) cases and combined marker panels tested against serum CA125.

resultsBoth profiling platforms were complementary in identifying biomarker candidates, four of which (A1AT, SLPI, APOA4, VDBP) significantly discriminated malignant from benign cases. However, no combination of markers was as good as CA125 for diagnostic accuracy. SLPI was further tested as an early marker using prediagnosis serum samples. While it rose in cases toward diagnosis, it did not discriminate prediagnosis cases from controls. CONCLUSIONS AND CLINICAL RELEVANCE: The candidate biomarkers warrant further validation in independent sample sets.

Indexed as

AdultAgedApolipoproteins ABiomarkers, TumorBlood ProteinsElectrophoresis, Gel, Two-DimensionalEnzyme-Linked Immunosorbent AssayFemaleHumansMiddle AgedOvarian NeoplasmsProteomeProteomicsReproducibility of ResultsSecretory Leukocyte Peptidase InhibitorSensitivity and Specificityapolipoprotein A-IVApolipoproteins ABiomarkers, TumorBlood ProteinsProteomeSecretory Leukocyte Peptidase InhibitorSLPI protein, humanDiagnostic biomarkersMSOvarian cancerSerum profiling

Identifiers

PMID25290619
PMCPMC4737403
OpenAlexW1966946647

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.