Evidence map›Paper›PMID 32974032›Full record

ArticleBiomarker research2020

Expression of p52, a non-canonical NF-kappaB transcription factor, is associated with poor ovarian cancer prognosis.

Demetra H Hufnagel, Andrew J Wilson, Jamie Saxon, Timothy S Blackwell, Jaclyn Watkins, Dineo Khabele, Marta A Crispens, Fiona E Yull, Alicia Beeghly-Fadiel

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2020. 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
1.2field-weighted citation impact, top 20% 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

9 authors at 3 institutions in 1 country.

Demetra H HufnagelVanderbilt University School of Medicine, Nashville, TN 37240 USA.
Andrew J WilsonDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Jamie SaxonDivision of Allergy, Pulmonary and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Timothy S BlackwellVanderbilt-Ingram Cancer Center, Nashville, TN 37232 USA.
Jaclyn WatkinsDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Dineo KhabeleDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Washington University School of Medicine, St. Louis, MO 63130 USA.
Marta A CrispensDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Fiona E Yull *Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Vanderbilt University Medical Center, Nashville, TN 37232 USA.
Alicia Beeghly-Fadiel *Vanderbilt-Ingram Cancer Center, Nashville, TN 37232 USA.ORCID 0000-0001-9913-732X
Vanderbilt University · USVanderbilt University Medical Center · USWashington University in St. Louis · US

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI STACIE B DUSETZINA · 1995 to 2026
$172.8M
TrainingU54CA163072 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Tuya Pal, Karen Marie Winkfield · 2011 to 2026
$20.1M
Vanderbilt Mouse Metabolic Physiology CenterU24DK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2001 to 2015
$14.9M
Macrophage-based ovarian cancer immunotherapyR01CA214043 · NCI · VANDERBILT UNIVERSITY · PI GIORGIO, TODD D, KHABELE, DINEO · 2017 to 2021
$1.9M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA214043NCI NIH HHS U54 CA163072NIDDK NIH HHS U24 DK059637
6 · The paper itself

Abstract

backgroundThe canonical and non-canonical nuclear factor-kappaB (NF-κB) signaling pathways have key roles in cancer, but studies have previously evaluated only the association of canonical transcription factors and ovarian cancer survival. Although a number of in vitro and in vivo studies have demonstrated mechanisms by which non-canonical NF-κB signaling potentially contributes to ovarian cancer progression, a prognostic association has yet to be shown in the clinical context.

methodsWe assayed p65 and p52 (major components of the canonical and non-canonical NF-κB pathways) by immunohistochemistry in epithelial ovarian tumor samples; nuclear and cytoplasmic staining were semi-quantified by H-scores and dichotomized at median values. Associations of p65 and p52 with progression-free survival (PFS) and overall survival (OS) were quantified by Hazard Ratios (HR) from proportional-hazards regression.

resultsAmong 196 cases, median p52 and p65 H-scores were higher in high-grade serous cancers. Multivariable regression models indicated that higher p52 was associated with higher hazards of disease progression (cytoplasmic HR: 1.54; nuclear HR: 1.67) and death (cytoplasmic HR: 1.53; nuclear HR: 1.49), while higher nuclear p65 was associated with only a higher hazard of disease progression (HR: 1.40) in unadjusted models. When cytoplasmic and nuclear staining were combined, p52 remained significantly associated with increased hazards of disease progression (HR: 1.91,

conclusionsThis is the first study to demonstrate that p52, a major component of non-canonical NF-κB signaling, may be an independent prognostic factor for epithelial ovarian cancer, particularly high-grade serous ovarian cancer. Approaches to inhibit non-canonical NF-κB signaling should be explored as novel ovarian cancer therapies are needed.

Indexed as

NF-kappaBOvarian cancerPrognosisSurvival

Identifiers

PMID32974032
PMCPMC7493985
OpenAlexW3086175716

What OpenQuestion 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 OpenQuestion graph.