Evidence map›Paper›PMID 20467042›Full record

ArticleMolecular & cellular proteomics : MCP2010

Use of a single-chain antibody library for ovarian cancer biomarker discovery.

Arturo B Ramirez, Christian M Loch, Yuzheng Zhang, Yan Liu, Xiaohong Wang, Elizabeth A Wayner, Jonathon E Sargent, Sahar Sibani, Eugenie Hainsworth, Eliseo A Mendoza and 5 more

Abstract readEvaluation Study
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
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  7. Observational
  8. 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
  9. MAPRE1 as a plasma biomarker for early-stage colorectal cancer and adenomas.Cancer prevention research (Philadelphia, Pa.) · 2015
    Article
  10. Observational
  11. Cross-species antibody microarray interrogation identifies a 3-protein panel of plasma biomarkers for early diagnosis of pancreas cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
    Article
  12. Microreactor array device.Scientific reports · 2015
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. New technologies in cancer. Protein microarrays for biomarker discovery.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2011
    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

15 authors.

Arturo B RamirezMolecular Diagnostics Program, Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
Christian M Loch
Yuzheng Zhang
Yan Liu
Xiaohong Wang
Elizabeth A Wayner
Jonathon E Sargent
Sahar Sibani
Eugenie Hainsworth
Eliseo A Mendoza
Ralph Eugene
Joshua Labaer
Nicole D Urban
Martin W McIntosh
Paul D Lampe

Funding

Vaccinating against IGFBP-2 to prevent ovarian cancer relapseP50CA083636 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DRESCHER, CHARLES, URBAN, NICOLE DENISE · 1999 to 2015
$35.1M
Affinity-based Seurm Proteomics: Breast/Ovarian CancerU01CA111273 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MCINTOSH, MARTIN · 2005 to 2009
$3.2M
Ovarian Cancer Biomarker Discovery using scFv ArraysF31CA123637 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI RAMIREZ, ARTURO B · 2006 to 2009
$130k
NCI NIH HHS 5F31CA123637NCI NIH HHS F31 CA123637NCI NIH HHS P50 CA083636NCI NIH HHS U01 CA111273
6 · The paper itself

Abstract

The discovery of novel early detection biomarkers of disease could offer one of the best approaches to decrease the morbidity and mortality of ovarian and other cancers. We report on the use of a single-chain variable fragment antibody library for screening ovarian serum to find novel biomarkers for the detection of cancer. We alternately panned the library with ovarian cancer and disease-free control sera to make a sublibrary of antibodies that bind proteins differentially expressed in cancer. This sublibrary was printed on antibody microarrays that were incubated with labeled serum from multiple sets of cancer patients and controls. The antibodies that performed best at discriminating disease status were selected, and their cognate antigens were identified using a functional protein microarray. Overexpression of some of these antigens was observed in cancer serum, tumor proximal fluid, and cancer tissue via dot blot and immunohistochemical staining. Thus, our use of recombinant antibody microarrays for unbiased discovery found targets for ovarian cancer detection in multiple sample sets, supporting their further study for disease diagnosis.

Indexed as

Antigens, NeoplasmGene LibraryOvarian NeoplasmsSingle-Chain AntibodiesAdultAgedAged, 80 and overBiomarkers, TumorFemaleHumansMiddle AgedProtein Array AnalysisRisk FactorsYoung AdultAntigens, NeoplasmBiomarkers, TumorSingle-Chain Antibodies

Identifiers

PMID20467042
PMCPMC2938096

What OpenQuestion holds

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Registered trials

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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.