Evidence map›Paper›PMID 16733262›Full record

ReviewMolecular & cellular proteomics : MCP2006

Tumor-associated antigen arrays for the serological diagnosis of cancer.

Carlos A Casiano, Melanie Mediavilla-Varela, Eng M Tan

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

57 citing papers in PubMed, 137 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  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

3 authors at 2 institutions in 1 country.

Carlos A CasianoCenter for Health Disparities Research and Department of Biochemistry and Microbiology, Loma Linda University School of Medicine, California 92350, USA. ccasiano@llu.edu
Melanie Mediavilla-Varela
Eng M Tan
Loma Linda University · USScripps Research Institute · US

Funding

NIH-LLU Initiative for Maximizing Student DiversityR25GM060507 · NIGMS · LOMA LINDA UNIVERSITY · PI DE LEON, MARINO · 2001 to 2022
$11.3M
The role of imidazoline receptor in type-2 diabetesP20MD001632 · NIMHD · LOMA LINDA UNIVERSITY · PI DE LEON, DAISY D. · 2005 to 2009
$8.0M
Research Training/Education CoreP20MD006988 · NIMHD · LOMA LINDA UNIVERSITY · PI CASIANO, CARLOS A. · 2012 to 2016
$6.2M
AUTOANTIBODIES IN HEPATOCELLULAR CARCINOMAR01CA056956 · NCI · SCRIPPS RESEARCH INSTITUTE · PI TAN, ENG M · 1992 to 2005
$1.9M
NCI NIH HHS CA56956NCI NIH HHS R01 CA056956NIGMS NIH HHS 2R25GM60507NIGMS NIH HHS R25 GM060507NIMHD NIH HHS 5P20MD001632NIMHD NIH HHS P20 MD001632NIMHD NIH HHS P20 MD006988
6 · The paper itself

Abstract

The recognition that human tumors stimulate the production of autoantibodies against autologous cellular proteins called tumor-associated antigens (TAAs) has opened the door to the possibility that autoantibodies could be exploited as serological tools for the early diagnosis and management of cancer. Cancer-associated autoantibodies are often driven by intracellular proteins that are mutated, modified, or aberrantly expressed in tumor cells and hence are regarded as immunological reporters that could help uncover molecular events underlying tumorigenesis. Emerging evidence suggests that each type of cancer might trigger unique autoantibody signatures that reflect the nature of the malignant process in the affected organ. The advent of novel genomic, proteomic, and high throughput approaches has accelerated interest in the serum autoantibody repertoire in human cancers for the discovery of candidate TAAs. The use of individual anti-TAA autoantibodies as diagnostic or prognostic tools has been tempered by their low frequency and heterogeneity in most human cancers. However, TAA arrays comprising several antigens significantly increase this frequency and hold great promise for the early detection of cancer, monitoring cancer progression, guiding individualized therapeutic interventions, and identification of novel therapeutic targets. Our recent studies suggest that the implementation of TAA arrays in screening programs for the diagnosis of prostate cancer and other cancers should be preceded by the optimization of their sensitivity and specificity through the careful selection of the most favorable combinations of TAAs.

Indexed as

Antigens, NeoplasmAutoantibodiesAutoantigensHumansNeoplasmsProtein Array AnalysisReproducibility of ResultsAntigens, NeoplasmAutoantibodiesAutoantigens

Identifiers

PMID16733262
PMCPMC2790463
OpenAlexW2145786439

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.