Evidence map›Paper›PMID 17618437›Full record

ArticleCancer immunology, immunotherapy : CII2008

New T cell epitopes identified from an anti-idiotypic antibody mimicking ovarian cancer associated antigen.

Wei Li, Heng Cui, Fan-Qiang Meng, Xiao-Hong Chang, Guo Zhang, Bei Liu, Zi-Hai Li

Open access · bronzeAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 86% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 4 institutions in 2 countries.

Wei LiGynecologic Oncology Center, Peking University People's Hospital, 11 Xi Zhi Men South Street, Xi Cheng District, Beijing, China.
Heng Cui
Fan-Qiang Meng
Xiao-Hong Chang
Guo Zhang
Bei Liu
Zi-Hai Li
Peking University · CNPeking University People's Hospital · CNUniversity of Connecticut · USChina-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-idiotype (Id) antibodies can be used to induce specific cellular immune responses against tumor antigens, but the mechanism of antigenicity is not always clear. We previously reported an anti-Id antibody, 6B11, which mimics human ovarian cancer associated antigen OC166-9. To explore the molecular basis of cellular immune response induced by 6B11, a panel of peptides derived from complementarity determining region (CDR) of 6B11 were synthesized. After a series of immunologic experiments, we found that the light chain CDR3 peptide and heavy chain CDR3 peptide were the MHC class I and class II epitopes of 6B11, respectively. The combination of MHC class I and class II epitopes is more effective than 6B11 in inducing specific cellular immune response against ovarian cancer. Our study provided the structural basis of antigenicity of 6B11. The identification of antigen-specific T cell eptitopes in 6B11 should facilitate the design of epitope-based vaccine against human ovarian cancer.

Indexed as

Antibodies, Anti-IdiotypicAntibodies, NeoplasmAntigens, NeoplasmComplementarity Determining RegionsCytotoxicity, ImmunologicEpitopes, T-LymphocyteFemaleHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansMolecular MimicryOvarian NeoplasmsT-Lymphocytes, CytotoxicT-Lymphocytes, Helper-InducerAntibodies, Anti-IdiotypicAntibodies, NeoplasmAntigens, NeoplasmComplementarity Determining RegionsEpitopes, T-LymphocyteHistocompatibility Antigens Class IHistocompatibility Antigens Class II

Identifiers

PMID17618437
PMCPMC11030613
OpenAlexW2070078679

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.