Evidence map›Paper›PMID 20736037›Full record

ArticleHuman immunology2010

Genetic regulation of antibody responses to human epidermal growth factor receptor 2 in breast cancer.

Janardan P Pandey, Aryan M Namboodiri, Oleg Kurtenkov, Paul J Nietert

Open access · greenAbstract read
In one paragraph

Article in Human immunology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Janardan P PandeyDepartment of Microbiology and Immunology, Medical University of South Carolina, Charleston, South Carolina, USA. pandeyj@musc.edu
Aryan M Namboodiri
Oleg Kurtenkov
Paul J Nietert
Medical University of South Carolina · USNational Institutes of Health · US

Funding

SOUTH CAROLINA CLINICAL & TRANSLATIONAL RESEARCH INSTITUTE (SCTR)UL1RR029882 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2009 to 2011
$10.1M
NCRR NIH HHS UL1 RR029882NCRR NIH HHS UL1RR029882
6 · The paper itself

Abstract

Host genetic factors responsible for the interindividual differences in naturally occurring antibody responses to the human epidermal growth factor receptor 2 (HER-2) in human beings have not been identified. The aim of the present investigation was to determine whether immunoglobulin gamma heavy-chain marker (GM) and kappa light-chain marker (KM) allotypes, which are genetic markers of IgG heavy chains and κ-type light chains, respectively, contribute to these differences. A total of 152 Estonian women with breast cancer were characterized for IgG antibodies to HER-2 and allotyped for several GM and KM markers. IgG3 determinant GM 13 was significantly associated with higher HER-2 IgG levels (median IgG titer 800 vs 400, p = 0.007). Other GM allotypes, known to be in linkage disequilibrium with GM 13, were also associated with higher anti-HER-2 antibody levels, albeit not as strongly. These results show that GM allotypes are associated with humoral immunity to HER-2, a finding with potentially significant implications for immunotherapy of breast cancer.

Indexed as

AdultAgedAged, 80 and overBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesEstoniaFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesGenetic Predisposition to DiseaseHumansImmunity, HumoralImmunoglobulin Gm AllotypesImmunoglobulin kappa-ChainsMaleMiddle AgedERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesImmunoglobulin Gm AllotypesImmunoglobulin kappa-Chains

Identifiers

PMID20736037
PMCPMC3107668
OpenAlexW2091876551

What OpenQuestion holds

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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.