Evidence map›Paper›PMID 18311903›Full record

ArticleJournal of proteome research2008

Application of protein microarrays for multiplexed detection of antibodies to tumor antigens in breast cancer.

Karen S Anderson, Niroshan Ramachandran, Jessica Wong, Jacob V Raphael, Eugenie Hainsworth, Gokhan Demirkan, Daniel Cramer, Dina Aronzon, F Stephen Hodi, Lyndsay Harris and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
14.8field-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

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 145 citations in OpenAlex.

  1. Pooled it
  2. Multiplexed Detection of Autoantibodies to Glycopeptides Using Microarray.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. 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
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Proteomic Monitoring of B Cell Immunity.Methods in molecular biology (Clifton, N.J.) · 2016
    Article
  17. Article
  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

12 authors at 1 institution in 1 country.

Karen S AndersonCancer Vaccine Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts 02115, USA.
Niroshan Ramachandran
Jessica Wong
Jacob V Raphael
Eugenie Hainsworth
Gokhan Demirkan
Daniel Cramer
Dina Aronzon
F Stephen Hodi
Lyndsay Harris
Tanya Logvinenko
Joshua LaBaer
Dana-Farber Cancer Institute · US

Funding

Biomarker Detection Using NAPPA Tumor Antigen ArraysU01CA117374 · NCI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2005 to 2015
$6.2M
NCI NIH HHS 5U01CA117374-02NCI NIH HHS U01 CA117374
6 · The paper itself

Abstract

There is strong preclinical evidence that cancer, including breast cancer, undergoes immune surveillance. This continual monitoring, by both the innate and the adaptive immune systems, recognizes changes in protein expression, mutation, folding, glycosylation, and degradation. Local immune responses to tumor antigens are amplified in draining lymph nodes, and then enter the systemic circulation. The antibody response to tumor antigens, such as p53 protein, are robust, stable, and easily detected in serum; may exist in greater concentrations than their cognate antigens; and are potential highly specific biomarkers for cancer. However, antibodies have limited sensitivities as single analytes, and differences in protein purification and assay characteristics have limited their clinical application. For example, p53 autoantibodies in the sera are highly specific for cancer patients, but are only detected in the sera of 10-20% of patients with breast cancer. Detection of p53 autoantibodies is dependent on tumor burden, p53 mutation, rapidly decreases with effective therapy, but is relatively independent of breast cancer subtype. Although antibodies to hundreds of other tumor antigens have been identified in the sera of breast cancer patients, very little is known about the specificity and clinical impact of the antibody immune repertoire to breast cancer. Recent advances in proteomic technologies have the potential for rapid identification of immune response signatures for breast cancer diagnosis and monitoring. We have adapted programmable protein microarrays for the specific detection of autoantibodies in breast cancer. Here, we present the first demonstration of the application of programmable protein microarray ELISAs for the rapid identification of breast cancer autoantibodies.

Indexed as

Antigens, NeoplasmAutoantibodiesBiomarkersBreast NeoplasmsEnzyme-Linked Immunosorbent AssayEpitopes, B-LymphocyteEpstein-Barr Virus Nuclear AntigensFemaleHumansInhibitor of Apoptosis ProteinsMicrotubule-Associated ProteinsNeoplasm ProteinsOvarian NeoplasmsProtein Array AnalysisSurvivinTumor Suppressor Protein p53Antigens, NeoplasmAutoantibodiesBiomarkersBIRC5 protein, humanEBV-encoded nuclear antigen 1Epitopes, B-LymphocyteEpstein-Barr Virus Nuclear AntigensInhibitor of Apoptosis ProteinsMicrotubule-Associated ProteinsNeoplasm ProteinsSurvivinTumor Suppressor Protein p53

Identifiers

PMID18311903
PMCPMC3640352
OpenAlexW2016014545

What OpenQuestion holds

Textmetadata
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.