Evidence map›Paper›PMID 15893717›Full record

ReviewAutoimmunity reviews2005

Improved approach to identify cancer-associated autoantigens.

Félix Fernández Madrid, Naimei Tang, Huda Alansari, Robert L Karvonen, John E Tomkiel

Abstract readReview
In one paragraph

Review in Autoimmunity reviews, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Autoantibody response to Sui1 and its tissue-specific expression in hepatocellular carcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  9. Aberrant Cosmc genes result in Tn antigen expression in human colorectal carcinoma cell line HT-29.International journal of clinical and experimental pathology · 2015
    Article
  10. Article
  11. Article
  12. Serologic laboratory findings in malignancy.Rheumatic diseases clinics of North America · 2011
    Review
  13. The Tn antigen-structural simplicity and biological complexity.Angewandte Chemie (International ed. in English) · 2011
    Review
  14. Article
  15. Review
  16. Review
  17. 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

5 authors.

Félix Fernández MadridUniversity Health Center, 4H, Department of Internal Medicine, Division of Rheumatology, Wayne State University, Detroit, MI 48201, USA. fmadrid@intmed.wayne.edu
Naimei Tang
Huda Alansari
Robert L Karvonen
John E Tomkiel

Funding

AUTOANTIBODIES AS MARKERS OF BREAST CANCERR21CA087759 · NCI · WAYNE STATE UNIVERSITY · PI FERNANDEZ-MADRID, FELIX · 2001 to 2002
$224k
NCI NIH HHS CA-87759NCI NIH HHS R21 CA087759NIAMS NIH HHS R21 AR-99-128
6 · The paper itself

Abstract

The failure to identify biomarkers of clinical significance for cancer diagnosis and prognosis generated a great deal of skepticism in regard to the usefulness of autoantibody-based methods. SEREX was a major advancement in immunoscreening that resulted in the identification of a large group of autoantigens recognized by cancer sera. However, few SEREX-defined autoantigens have proven to have definitive diagnostic value in clinical practice. Often, the identified antigens are patient-specific rather than tumor-specific and many tumor-associated antigens are rare in expression libraries made from non-autologous cells. Since autoantibodies are part of the normal immune response, it can be difficult to single out tumor-associated antibodies from the scores of irrelevant patient-specific responses. In our view, any practical approach for identifying cancer-related autoantigens must include an integral strategy for demonstrating tumor relevance early in the screening process. Care must also be taken not to exclude potentially important autoantibodies by pre-screening manipulations to patient sera. We have introduced substantial modifications in SEREX, designed to minimize confounding effects of unrelated autoantibodies and to eliminate steps that preclude the identification of cancer-related autoantigens commonly recognized by cancer sera. In addition, we incorporate methodology to identify candidate antigens that have potential diagnostic or prognostic value prior to their molecular cloning and characterization.

Indexed as

Antigens, NeoplasmAutoantibodiesAutoantigensBreast NeoplasmsNeoplasmsAntigens, NeoplasmAutoantibodiesAutoantigens

Identifiers

PMID15893717
PMCPMC5604223

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.