Evidence map›Paper›PMID 27742740›Full record

ArticleMolecular & cellular proteomics : MCP2016

Immunoseroproteomic Profiling in African American Men with Prostate Cancer: Evidence for an Autoantibody Response to Glycolysis and Plasminogen-Associated Proteins.

Tino W Sanchez, Guangyu Zhang, Jitian Li, Liping Dai, Saied Mirshahidi, Nathan R Wall, Clayton Yates, Colwick Wilson, Susanne Montgomery, Jian-Ying Zhang and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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  13. Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
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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

11 authors at 3 institutions in 1 country.

Tino W SanchezFrom the ‡Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California 92350; tsanchez@llu.edu.
Guangyu Zhang¶Mass Spectrometry Core Facility, Division of Biochemistry, LLU School of Medicine, Loma Linda, California 92350.
Jitian Li§Department of Biological Sciences, University of Texas, El Paso, Texas 79968.
Liping Dai§Department of Biological Sciences, University of Texas, El Paso, Texas 79968.
Saied MirshahidiFrom the ‡Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California 92350.
Nathan R WallFrom the ‡Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California 92350.
Clayton Yates‡‡Department of Biology and Center for Cancer Research, Tuskegee University, Tuskegee Alabama 36088.
Colwick WilsonFrom the ‡Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California 92350.
Susanne MontgomeryFrom the ‡Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California 92350.
Jian-Ying Zhang§Department of Biological Sciences, University of Texas, El Paso, Texas 79968.
Carlos A CasianoFrom the ‡Center for Health Disparities and Molecular Medicine, Department of Basic Sciences, Loma Linda University School of Medicine, Loma Linda, California 92350.
Loma Linda University · USThe University of Texas at El Paso · USTuskegee University · US

Funding

Research Training/Education CoreP20MD006988 · NIMHD · LOMA LINDA UNIVERSITY · PI DE LEON, MARINO · 2012 to 2016
$6.2M
NIMHD NIH HHS P20 MD006988
6 · The paper itself

Abstract

African American (AA) men suffer from a disproportionately high incidence and mortality of prostate cancer (PCa) compared with other racial/ethnic groups. Despite these disparities, African American men are underrepresented in clinical trials and in studies on PCa biology and biomarker discovery. We used immunoseroproteomics to profile antitumor autoantibody responses in AA and European American (EA) men with PCa, and explored differences in these responses. This minimally invasive approach detects autoantibodies to tumor-associated antigens that could serve as clinical biomarkers and immunotherapeutic agents. Sera from AA and EA men with PCa were probed by immunoblotting against PC3 cell proteins, with AA sera showing stronger immunoreactivity. Mass spectrometry analysis of immunoreactive protein spots revealed that several AA sera contained autoantibodies to a number of proteins associated with both the glycolysis and plasminogen pathways, particularly to alpha-enolase (ENO1). The proteomic data is deposited in ProteomeXchange with identifier PXD003968. Analysis of sera from 340 racially diverse men by enzyme-linked immunosorbent assays (ELISA) showed higher frequency of anti-ENO1 autoantibodies in PCa sera compared with control sera. We observed differences between AA-PCa and EA-PCa patients in their immunoreactivity against ENO1. Although EA-PCa sera reacted with higher frequency against purified ENO1 in ELISA and recognized by immunoblotting the endogenous cellular ENO1 across a panel of prostate cell lines, AA-PCa sera reacted weakly against this protein by ELISA but recognized it by immunoblotting preferentially in metastatic cell lines. These race-related differences in immunoreactivity to ENO1 could not be accounted by differential autoantibody recognition of phosphoepitopes within this antigen. Proteomic analysis revealed differences in the posttranslational modification profiles of ENO1 variants differentially recognized by AA-PCa and EA-PCa sera. These intriguing results suggest the possibility of race-related differences in the antitumor autoantibody response in PCa, and have implications for defining novel biological determinants of PCa health disparities.

Indexed as

GlycolysisAgedAntibodies, NeoplasmAntigens, NeoplasmAutoantibodiesBiomarkers, TumorBlack or African AmericanCell Line, TumorDNA-Binding ProteinsHumansMaleMass SpectrometryPhosphopyruvate HydrataseProstatic NeoplasmsProteomicsTumor Suppressor ProteinsAntibodies, NeoplasmAntigens, NeoplasmAutoantibodiesBiomarkers, TumorDNA-Binding ProteinsENO1 protein, humanPhosphopyruvate HydrataseTumor Suppressor Proteins

Identifiers

PMID27742740
PMCPMC5141272
OpenAlexW2529979227

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.