Evidence map›Paper›PMID 18652693›Full record

ArticleJournal of translational medicine2008

Use of cancer-specific yeast-secreted in vivo biotinylated recombinant antibodies for serum biomarker discovery.

Nathalie Scholler, Jennifer A Gross, Barbara Garvik, Lance Wells, Yan Liu, Christian M Loch, Arturo B Ramirez, Martin W McIntosh, Paul D Lampe, Nicole Urban

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. A scalable hierarchical lasso for gene-environment interactions.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2022
    Article
  4. Ovarian Cancer Biomarkers: Moving Forward in Early Detection.Advances in experimental medicine and biology · 2020
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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 at 3 institutions in 1 country.

Nathalie SchollerCenter for Research on Early Detection and Cure of Ovarian Cancer, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. naths@mail.med.upenn.edu
Jennifer A Gross
Barbara Garvik
Lance Wells
Yan Liu
Christian M Loch
Arturo B Ramirez
Martin W McIntosh
Paul D Lampe
Nicole Urban
Fred Hutch Cancer Center · USUniversity of Georgia · USUniversity of Pennsylvania · US

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
Tumor Glycomics Laboratory for Discovery of Pancreatic Cancer MarkersU01CA128454 · NCI · UNIVERSITY OF GEORGIA · PI PIERCE, J. MICHAEL · 2007 to 2017
$5.7M
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 P50 CA83636NCI NIH HHS U01 CA111273NCI NIH HHS U01 CA128454NCI NIH HHS U01CA128454
6 · The paper itself

Abstract

backgroundStrategies to discover circulating protein markers of ovarian cancer are urgently needed. We developed a novel technology that permits us to isolate recombinant antibodies directed against the potential serum biomarkers, to facilitate the further development of affinity reagents necessary to construct diagnostic tests.

methodsThis study presents a novel discovery approach based on serum immunoprecipitation with cancer-specific in vivo biotinylated recombinant antibodies (biobodies) derived from differentially selected yeast-display scFv, and analysis of the eluted serum proteins by electrophoresis and/or mass spectrometry.

resultsUsing this strategy we identified catabolic fragments of complement factors, EMILIN2, Von Willebrand factor and phosphatidylethanolamine-binding protein 1 (PEBP1 or RKIP) in patient sera. To our knowledge, this is the first report of a soluble form of PEBP1 in human. Independent evidence for ovarian cancer-specific expression of PEBP1 in patient sera was found by ELISA assays and antibody arrays with anti-PEBP1 antibodies. PEBP1 was detected in 29 out of 30 ascites samples and discriminated ovarian cancer sera from controls (p = 0.02). Finally, we confirmed by western blots the presence of a 21-23 kDa fragment corresponding to the expected size of PEBP1 but we also showed additional bands of 38 kDa and 50-52 kDa in various tissues and cell lines.

conclusionWe conclude that the novel strategy described here allows the identification of candidate biomarkers that can be variants of normally expressed proteins or that display cancer-specific post-translational modifications.

Indexed as

YeastsAntibodiesBiomarkers, TumorBiotinylationCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleFluorescent Antibody Technique, IndirectGlycoproteinsHumansNeoplasm StagingOvarian NeoplasmsPhosphatidylethanolamine Binding ProteinRecombinant ProteinsReproducibility of ResultsSensitivity and SpecificityAntibodiesBiomarkers, TumorEMILIN2 protein, humanGlycoproteinsPEBP1 protein, humanPhosphatidylethanolamine Binding ProteinRecombinant Proteinsvon Willebrand Factor

Identifiers

PMID18652693
PMCPMC2503970
OpenAlexW2149590321

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.