Evidence map›Paper›PMID 27140836›Full record

ArticleScientific reports2016

Evaluation of the diagnostic value of 64 simultaneously measured autoantibodies for early detection of gastric cancer.

Simone Werner, Hongda Chen, Julia Butt, Angelika Michel, Phillip Knebel, Bernd Holleczek, Inka Zörnig, Stefan B Eichmüller, Dirk Jäger, Michael Pawlita and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Research progress in effects of MAGE-A family on gastric cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Simple and robust polymer-based sensor for rapid cancer detection using serum.Chemical communications (Cambridge, England) · 2019
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Autoimmunity and Gastric Cancer.International journal of molecular sciences · 2018
    Review
  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 5 institutions in 1 country.

Simone WernerDivision of Clinical Epidemiology and Aging Research, DKFZ, Heidelberg, Germany.
Hongda ChenDivision of Clinical Epidemiology and Aging Research, DKFZ, Heidelberg, Germany.
Julia ButtDivision of Molecular Diagnostics of Oncogenic Infections, DKFZ, Heidelberg, Germany.
Angelika MichelDivision of Molecular Diagnostics of Oncogenic Infections, DKFZ, Heidelberg, Germany.
Phillip KnebelDepartment of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany.
Bernd HolleczekSaarland Cancer Registry, Saarbrücken, Germany.
Inka ZörnigDepartment of Medical Oncology, National Center for Tumor Diseases (NCT) and Heidelberg University Hospital, Heidelberg, Germany.
Stefan B EichmüllerGMP &T cell Therapy Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Dirk JägerDepartment of Medical Oncology, National Center for Tumor Diseases (NCT) and Heidelberg University Hospital, Heidelberg, Germany.
Michael PawlitaDivision of Molecular Diagnostics of Oncogenic Infections, DKFZ, Heidelberg, Germany.
Tim WaterboerDivision of Molecular Diagnostics of Oncogenic Infections, DKFZ, Heidelberg, Germany.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, DKFZ, Heidelberg, Germany.
Heidelberg University · DEDKFZ-ZMBH Alliance · DEGerman Cancer Research Center · DEKrebsregister Saarland · DENational Center for Tumor Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoantibodies against tumor-associated antigens (TAAs) have been suggested as biomarkers for early detection of gastric cancer. However, studies that systematically assess the diagnostic performance of a large number of autoantibodies are rare. Here, we used bead-based multiplex serology to simultaneously measure autoantibody responses against 64 candidate TAAs in serum samples from 329 gastric cancer patients, 321 healthy controls and 124 participants with other diseases of the upper digestive tract. At 98% specificity, sensitivities for the 64 tested autoantibodies ranged from 0-12% in the training set and a combination of autoantibodies against five TAAs (MAGEA4 + CTAG1 + TP53 + ERBB2_C + SDCCAG8) was able to detect 32% of the gastric cancer patients at a specificity of 87% in the validation set. Sensitivities for early and late stage gastric cancers were similar, while chronic atrophic gastritis, a precursor lesion of gastric cancer, was not detectable. However, the 5-marker combination also detected 26% of the esophageal cancer patients. In conclusion, the tested autoantibodies and combinations alone did not reach sufficient sensitivity for gastric cancer screening. Nevertheless, some autoantibodies, such as anti-MAGEA4, anti-CTAG1 or anti-TP53 and their combinations could possibly contribute to the development of cancer early detection tests (not necessarily restricted to gastric cancer) when being combined with other markers.

Indexed as

AdultAntigens, NeoplasmAutoantibodiesBiomarkers, TumorEarly Detection of CancerFemaleHumansMaleMembrane ProteinsMiddle AgedNeoplasm ProteinsStomach NeoplasmsTumor Suppressor Protein p53Antigens, NeoplasmAutoantibodiesBiomarkers, TumorCTAG1B protein, humanMAGEA4 protein, humanMembrane ProteinsNeoplasm ProteinsTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID27140836
PMCPMC4853774
OpenAlexW2345734417

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.