Evidence mapPaperPMID 35639484Full record

ArticleJCI insight2022

Protein expression of the gp78 E3 ligase predicts poor breast cancer outcome based on race.

Sandeep K Singhal, Jung S Byun, Tingfen Yan, Ryan Yancey, Ambar Caban, Sara Gil Hernandez, Sediqua Bufford, Stephen M Hewitt, Joy Winfield, Jaya Pradhan and 12 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 8 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

22 authors at 9 institutions in 3 countries.

Sandeep K SinghalDepartment of Pathology, School of Medicine and Health Sciences.
Jung S ByunDivision of Intramural Research, National Institutes of Minority Health and Health Disparities, NIH, Bethesda, Maryland, USA.
Tingfen YanDivision of Intramural Research, National Institutes of Minority Health and Health Disparities, NIH, Bethesda, Maryland, USA.
Ryan YanceyDepartment of Pathology and Cell Biology, Columbia University Irvine Medical Center, New York, New York, USA.
Ambar CabanDepartment of Pathology and Cell Biology, Columbia University Irvine Medical Center, New York, New York, USA.
Sara Gil HernandezDivision of Intramural Research, National Institutes of Minority Health and Health Disparities, NIH, Bethesda, Maryland, USA.
Sediqua BuffordMasters of Science Biotechnology, Morehouse School of Medicine, Atlanta, Georgia, USA.
Stephen M HewittLaboratory of Pathology, Centers for Cancer Research, National Cancer Institute, NIH, Bethesda, Maryland, USA.
Joy WinfieldDepartment of Pathology and Cell Biology, Columbia University Irvine Medical Center, New York, New York, USA.
Jaya PradhanDepartment of Pathology and Cell Biology, Columbia University Irvine Medical Center, New York, New York, USA.
Vesco MustkovDepartment of Pathology and Cell Biology, Columbia University Irvine Medical Center, New York, New York, USA.
Jasmine A McDonaldDepartment of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, New York, USA.
Eliseo J Pérez-StableDivision of Intramural Research, National Institutes of Minority Health and Health Disparities, NIH, Bethesda, Maryland, USA.
Anna María NápolesDivision of Intramural Research, National Institutes of Minority Health and Health Disparities, NIH, Bethesda, Maryland, USA.
Nasreen VohraBrody School of Medicine, East Carolina University, Greenville, North Carolina, USA.
Adriana De SierviLaboratory of Molecular Oncology and New Therapeutic Targets, Institute of Biology and Experimental Medicine (IBYME), CONICET, Argentina.
Clayton YatesDepartment of Biology and Center for Cancer Research, Tuskegee University, Tuskegee, Alabama, USA.
Melissa B DavisWeill Cornell Medicine, New York, New York, USA.
Mei YangLaboratory of Protein Dynamics and Signaling, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.
Yien Che TsaiLaboratory of Protein Dynamics and Signaling, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.
Allan M WeissmanLaboratory of Protein Dynamics and Signaling, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.
Kevin GardnerDepartment of Pathology and Cell Biology, Columbia University Irvine Medical Center, New York, New York, USA.
Columbia University Irving Medical Center · USNational Institute on Minority Health and Health Disparities · USNational Cancer Institute · USCenter for Cancer Research · USConsejo Nacional de Investigaciones Científicas y Técnicas · ARCornell University · USEast Carolina University · USMorehouse School of Medicine · USUniversity of North Dakota · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · COLUMBIA UNIV NEW YORK MORNINGSIDE · 1985 to 2025
$22.9M
NIMHD Space ActivationZIIMD000004 · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · 2025 to 2025
$954k
Intramural NIH HHS ZIA BC009392Intramural NIH HHS ZII MD000004NCI NIH HHS P30 CA013696NCI NIH HHS R01 CA253368NIGMS NIH HHS U54 GM128729
6 · The paper itself

Abstract

Women of African ancestry suffer higher rates of breast cancer mortality compared with all other groups in the United States. Though the precise reasons for these disparities remain unclear, many recent studies have implicated a role for differences in tumor biology. Using an epitope-validated antibody against the endoplasmic reticulum-associated E3 ligase, gp78, we show that elevated levels of gp78 in patient breast cancer cells predict poor survival. Moreover, high levels of gp78 are associated with poor outcomes in both ER+ and ER- tumors, and breast cancers expressing elevated amounts of gp78 protein are enriched in gene expression pathways that influence cell cycle, metabolism, receptor-mediated signaling, and cell stress response pathways. In multivariate analysis adjusted for subtype and grade, gp78 protein is an independent predictor of poor outcomes in women of African ancestry. Furthermore, gene expression signatures, derived from patients stratified by gp78 protein expression, are strong predictors of recurrence and pathological complete response in retrospective clinical trial data and share many common features with gene sets previously identified to be overrepresented in breast cancers based on race. These findings implicate a prominent role for gp78 in tumor progression and offer insights into our understanding of racial differences in breast cancer outcomes.

Indexed as

Breast NeoplasmsUbiquitin-Protein LigasesEndoplasmic ReticulumFemaleHumansRetrospective StudiesSignal TransductionUbiquitin-Protein LigasesBreast cancerCell BiologyOncology

Identifiers

PMID35639484
PMCPMC9310521
OpenAlexW4281866966

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.