Evidence map›Paper›PMID 29074302›Full record

ArticleImmunobiology2018

Endogenous antibody responses to mucin 1 in a large multiethnic cohort of patients with breast cancer and healthy controls: Role of immunoglobulin and Fcγ receptor genes.

Janardan P Pandey, Aryan M Namboodiri, Bethany Wolf, Motoki Iwasaki, Yoshio Kasuga, Gerson S Hamada, Shoichiro Tsugane

Open access · greenAbstract read
In one paragraph

Article in Immunobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 78% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Randomized, Double-Blind, Placebo-Controlled Trial of MUC1 Peptide Vaccine for Prevention of Recurrent Colorectal Adenoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Trial
  2. Breast cancer vaccines for treatment and prevention.Breast cancer research and treatment · 2022
    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

7 authors at 3 institutions in 2 countries.

Janardan P PandeyDepartment of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, United States. Electronic address: pandeyj@musc.edu.
Aryan M NamboodiriDepartment of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, United States.
Bethany WolfDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, United States.
Motoki IwasakiDivision of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Yoshio KasugaDepartment of Surgery, Nagano Matsushiro General Hospital, Nagano, Japan.
Gerson S HamadaNikkei Disease Prevention Center, São Paulo, Brazil.
Shoichiro TsuganeCenter for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Medical University of South Carolina · USNagano Matsushiro General Hospital · JPNational Center for Global Health and Medicine · JP

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Resource CoreP30AR072582 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI JAMES C OATES · 2017 to 2026
$8.5M
Patient Resource CoreP60AR062755 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GILKESON, GARY S · 2012 to 2016
$5.8M
South Carolina Clinical & Translational Research Institute (SCTR)TL1TR001451 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI FEGHALI-BOSTWICK, CAROL A. · 2015 to 2024
$4.6M
Statistical Models for Genetic Studies, Using Network and Integrative AnalysisR01GM122078 · NIGMS · OHIO STATE UNIVERSITY · PI CHUNG, DONGJUN · 2016 to 2020
$1.9M
Algorithms for Literature-Guided Multi-Platform Identification of Cancer SubtypesR21CA209848 · NCI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI CHUNG, DONGJUN, KELEMEN, LINDA E · 2016 to 2017
$358k
NCATS NIH HHS TL1 TR001451NCATS NIH HHS UL1 TR001450NCI NIH HHS R21 CA209848NIAMS NIH HHS P30 AR072582NIAMS NIH HHS P60 AR062755NIGMS NIH HHS R01 GM122078
6 · The paper itself

Abstract

High levels of naturally occurring IgG antibodies to mucin 1 (MUC1), a membrane-bound glycoprotein that is overexpressed in patients with breast cancer, are associated with good prognosis. This suggests that endogenous anti-MUC1 antibodies have a protective effect and, through antibody-mediated host immunosurveillance mechanisms, might contribute to a cancer-free state. To test this possibility, we characterized a large number of multiethnic patients with breast cancer and matched controls for IgG antibodies to MUC1. We also aimed to determine whether the magnitude of anti-MUC1 antibody responsiveness was associated with particular immunoglobulin GM (γ marker), KM (κ marker), and Fcγ receptors (FcγR) genotypes. After adjusting for the confounding variables in a multivariate analysis, we found no significant difference in the levels of anti-MUC1 IgG antibodies between patients and cancer-free controls. However, in patients and controls, particular GM, KM, and FcγR genotypes-individually or epistatically-were significantly associated with the levels of anti-MUC1 IgG antibodies in a racially restricted manner. These findings, if confirmed in an independent investigation, could help identify individuals most likely to benefit from a MUC1-based therapeutic or prophylactic vaccine for MUC1-overexpressing malignancies.

Indexed as

EthnicityGenotypeRacial GroupsAntibody FormationBrazilBreast NeoplasmsCohort StudiesFemaleHumansImmunoglobulinsImmunologic SurveillanceJapanMucin-1Multivariate AnalysisReceptors, IgGImmunoglobulinsMucin-1Receptors, IgGFcγR genesGM/KM allotypesHumoral immunityMUC1

Identifiers

PMID29074302
PMCPMC5912322
OpenAlexW2766395420

What OpenQuestion holds

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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.