Evidence map›Paper›PMID 16424057›Full record

ArticleCancer research2006

Diagnostic markers of ovarian cancer by high-throughput antigen cloning and detection on arrays.

Madhumita Chatterjee, Saroj Mohapatra, Alexei Ionan, Gagandeep Bawa, Rouba Ali-Fehmi, Xiaoju Wang, James Nowak, Bin Ye, Fatimah A Nahhas, Karen Lu and 10 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Cancer research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 pooled it
19.3field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it, 203 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Analysis of Protein-Protein Interactions by Protein Microarrays.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  7. Article
  8. Article
  9. Protein Microarrays for Ocular Diseases.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  10. Phage Microarrays for Screening of Humoral Immune Responses.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  11. Autoantibodies in Early Detection of Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  12. Review
  13. Article
  14. PRSS1 Upregulation Predicts Platinum Resistance in Ovarian Cancer Patients.Frontiers in cell and developmental biology · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review

17 more citing papers are in PubMed but not listed here.

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

20 authors at 6 institutions in 2 countries.

Madhumita ChatterjeeProgram in Molecular Biology and Human Genetics, Barbara Ann Karmanos Cancer Institute, Wayne State University, 110 East Warren, Detroit, MI 48201, USA.
Saroj Mohapatra
Alexei Ionan
Gagandeep Bawa
Rouba Ali-Fehmi
Xiaoju Wang
James Nowak
Bin Ye
Fatimah A Nahhas
Karen Lu
Steven S Witkin
David Fishman
Adnan Munkarah
Robert Morris
Nancy K Levin
Natalie N Shirley
Gerard Tromp
Judith Abrams
Sorin Draghici
Michael A Tainsky
Institute of Molecular Genetics · RUWayne State University · USGynecologic Oncology Group · USCornell University · USNew York University · USThe University of Texas MD Anderson Cancer Center · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
Activity-Dependent Gene Expression in Human EpilepsyR01NS045207 · NINDS · WAYNE STATE UNIVERSITY · PI LOEB, JEFFREY A · 2003 to 2010
$2.1M
Markers for the Early Detection of Ovarian CancerR33CA100740 · NCI · WAYNE STATE UNIVERSITY · PI TAINSKY, MICHAEL A · 2005 to 2007
$1.4M
Novel Algorithms &Organisms for Onto-ToolsR01HG003491 · NHGRI · WAYNE STATE UNIVERSITY · PI DRAGHICI, SORIN · 2005 to 2007
$877k
Markers for the Early Detection of Ovarian CancerR21CA100740 · NCI · WAYNE STATE UNIVERSITY · PI TAINSKY, MICHAEL A · 2003 to 2003
$151k
NCI NIH HHS CA 100740NCI NIH HHS P30 CA 022453NCI NIH HHS P30 CA022453NCI NIH HHS R21 CA100740NCI NIH HHS R33 CA100740NHGRI NIH HHS 1R01 HG 003491-01NHGRI NIH HHS R01 HG003491NINDS NIH HHS 1R01 NS 045207-01NINDS NIH HHS R01 NS045207
6 · The paper itself

Abstract

A noninvasive screening test would significantly facilitate early detection of epithelial ovarian cancer. This study used a combination of high-throughput selection and array-based serologic detection of many antigens indicative of the presence of cancer, thereby using the immune system as a biosensor. This high-throughput selection involved biopanning of an ovarian cancer phage display library using serum immunoglobulins from an ovarian cancer patient as bait. Protein macroarrays containing 480 of these selected antigen clones revealed 65 clones that interacted with immunoglobulins in sera from 32 ovarian cancer patients but not with sera from 25 healthy women or 14 patients having other benign or malignant gynecologic diseases. Sequence analysis data of these 65 clones revealed 62 different antigens. Among the markers, we identified some known antigens, including RCAS1, signal recognition protein-19, AHNAK-related sequence, nuclear autoantogenic sperm protein, Nijmegen breakage syndrome 1 (Nibrin), ribosomal protein L4, Homo sapiens KIAA0419 gene product, eukaryotic initiation factor 5A, and casein kinase II, as well as many previously uncharacterized antigenic gene products. Using these 65 antigens on protein microarrays, we trained neural networks on two-color fluorescent detection of serum IgG binding and found an average sensitivity and specificity of 55% and 98%, respectively. In addition, the top 6 of the most specific clones resulted in an average sensitivity and specificity of 32% and 94%, respectively. This global approach to antigenic profiling, epitomics, has applications to cancer and autoimmune diseases for diagnostic and therapeutic studies. Further work with larger panels of antigens should provide a comprehensive set of markers with sufficient sensitivity and specificity suitable for clinical testing in high-risk populations.

Indexed as

Peptide LibraryAntigens, NeoplasmBiomarkers, TumorCase-Control StudiesDiagnosis, DifferentialFemaleGene Expression ProfilingGenital Diseases, FemaleHumansMass ScreeningOvarian NeoplasmsSensitivity and SpecificityAntigens, NeoplasmBiomarkers, TumorPeptide Library

Identifiers

PMID16424057
PMCPMC2546578
OpenAlexW2138726369

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.