Evidence map›Paper›PMID 18816257›Full record

ArticleBosnian journal of basic medical sciences2008

Optimization of diagnostic ELISA-based tests for the detection of auto-antibodies against tumor antigens in human serum.

Daria Stefatić, Monika Riederer, Marija Balić, Nadia Dandachi, Stefanie Stanzer, Birgit Janesch, Margit Resel, Darko Ler, Hellmut Samonigg, Thomas Bauernhofer

Open access · hybridAbstract read
In one paragraph

Article in Bosnian journal of basic medical sciences, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 100% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. NicotinamideACS omega · 2022
    Article
  2. Article
  3. Review
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 1 institution in 1 country.

Daria StefatićDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Monika Riederer
Marija Balić
Nadia Dandachi
Stefanie Stanzer
Birgit Janesch
Margit Resel
Darko Ler
Hellmut Samonigg
Thomas Bauernhofer
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer is one of the most common cancer types worldwide and it continues to be a serious public health problem. Early detection and diagnosis are of great importance in cancer management. At present, diagnostic blood tests are based on the detection of tumor-associated markers such as carcino-embryonic antigen (CEA), the cancer antigen CA19-9 for gastrointestinal cancer, CA15-3 for breast cancer or CA125 for ovarian cancer. The lack of sensitivity and specificity of these markers prevents their general use in cancer screening of an average risk population. Therefore, new cancer biomarkers or better screening methods are necessary to improve the diagnostics of the disease. This study was directed to the optimization of a diagnostic, enzyme linked immunosorbent assay (ELISA) based test to identify and validate new serum markers, such as extracellular Protein Kinase A (ecPKA) and Nicotinamide N-Methyltransferase (NNMT). In this type of assay, the cancer antigens are quantified indirectly - by detecting the presence of auto-antibodies against tumor proteins in human serum. The result of the optimization and validation process was in the case of ecPKA a reproducible and stable assay. In case of NNMT the assay was probably not sensitive enough.

Indexed as

AdolescentAdultAgedAntigens, NeoplasmAutoantibodiesBiomarkers, TumorCase-Control StudiesChildChild, PreschoolColorectal NeoplasmsCyclic AMP-Dependent Protein KinasesEnzyme-Linked Immunosorbent AssayHumansMiddle AgedNicotinamide N-MethyltransferaseSensitivity and SpecificityAntigens, NeoplasmAutoantibodiesBiomarkers, TumorCyclic AMP-Dependent Protein KinasesNicotinamide N-MethyltransferaseNNMT protein, human

Identifiers

PMID18816257
PMCPMC5694676
OpenAlexW21072298

What OpenQuestion holds

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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.