Evidence map›Paper›PMID 19638618›Full record

ArticleMolecular & cellular proteomics : MCP2009

Identification of tumor-associated autoantigens for the diagnosis of colorectal cancer in serum using high density protein microarrays.

Ingrid Babel, Rodrigo Barderas, Ramón Díaz-Uriarte, Jorge Luis Martínez-Torrecuadrada, Marta Sánchez-Carbayo, J Ignacio Casal

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
10.4field-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

74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 159 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Protein Microarray Analysis with GenePix.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Old and New Blood Markers in Human Colorectal Cancer.International journal of molecular sciences · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. The association of immunosurveillance and distant metastases in colorectal cancer.Journal of cancer research and clinical oncology · 2021
    Article

14 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

6 authors at 3 institutions in 1 country.

Ingrid BabelCentro de Investigaciones Biológicas-Consejo Superior de Investigaciones Científicas, Madrid, Spain.
Rodrigo Barderas
Ramón Díaz-Uriarte
Jorge Luis Martínez-Torrecuadrada
Marta Sánchez-Carbayo
J Ignacio Casal
Spanish National Cancer Research Centre · ESConsejo Superior de Investigaciones Científicas · ESCentro de Investigaciones Biológicas Margarita Salas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a mounting evidence of the existence of autoantibodies associated to cancer progression. Antibodies are the target of choice for serum screening because of their stability and suitability for sensitive immunoassays. By using commercial protein microarrays containing 8000 human proteins, we examined 20 sera from colorectal cancer (CRC) patients and healthy subjects to identify autoantibody patterns and associated antigens. Forty-three proteins were differentially recognized by tumoral and reference sera (p value <0.04) in the protein microarrays. Five immunoreactive antigens, PIM1, MAPKAPK3, STK4, SRC, and FGFR4, showed the highest prevalence in cancer samples, whereas ACVR2B was more abundant in normal sera. Three of them, PIM1, MAPKAPK3, and ACVR2B, were used for further validation. A significant increase in the expression level of these antigens on CRC cell lines and colonic mucosa was confirmed by immunoblotting and immunohistochemistry on tissue microarrays. A diagnostic ELISA based on the combination of MAPKAPK3 and ACVR2B proteins yielded specificity and sensitivity values of 73.9 and 83.3% (area under the curve, 0.85), respectively, for CRC discrimination after using an independent sample set containing 94 sera representative of different stages of progression and control subjects. In summary, these studies confirmed the presence of specific autoantibodies for CRC and revealed new individual markers of disease (PIM1, MAPKAPK3, and ACVR2B) with the potential to diagnose CRC with higher specificity and sensitivity than previously reported serum biomarkers.

Indexed as

AdultAgedAged, 80 and overAntigens, NeoplasmAutoantigensBiomarkers, TumorCluster AnalysisColorectal NeoplasmsFemaleHumansMaleMiddle AgedNeoplasm MetastasisProtein Array AnalysisReproducibility of ResultsSensitivity and SpecificityAntigens, NeoplasmAutoantigensBiomarkers, Tumor

Identifiers

PMID19638618
PMCPMC2758763
OpenAlexW2112108672

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.