Evidence map›Paper›PMID 32321981›Full record

ArticleScientific reports2020

SEER and Gene Expression Data Analysis Deciphers Racial Disparity Patterns in Prostate Cancer Mortality and the Public Health Implication.

Wensheng Zhang, Yan Dong, Oliver Sartor, Erik K Flemington, Kun Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Review
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  7. Review
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  11. Molecular cancer research : MCR · 2021
    Article
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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

5 authors.

Wensheng ZhangBioinformatics Core of Xavier NIH RCMI Center of Cancer Research; Department of Computer Science, Xavier University of Louisiana, New Orleans, 70125, LA, USA.
Yan DongDepartment of Structural and Cellular Biology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, 70112, LA, USA.ORCID http://orcid.org/0000-0003-1622-5354
Oliver SartorDepartment of Medicine, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, 70112, LA, USA.ORCID http://orcid.org/0000-0002-8777-7343
Erik K FlemingtonDepartment of Pathology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, 70112, LA, USA.
Kun ZhangBioinformatics Core of Xavier NIH RCMI Center of Cancer Research; Department of Computer Science, Xavier University of Louisiana, New Orleans, 70125, LA, USA. kzhang@xula.edu.

Funding

STABILITY' (symptomatic review during biologic therapy) Review in Inflammatory Bowel DiseaseP20GM103424 · NIGMS · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI Konstantin G Kousoulas · 2012 to 2026
$57.4M
Xavier RCMI Renewal Application-Research Infrastructure CoreU54MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI LaKeisha Williams · 2019 to 2026
$41.9M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HONG-WEN DENG · 2017 to 2026
$24.3M
"Project 3" MHV68 IncRNA/miRNA interaction in latency and lympomagenesisP01CA214091 · NCI · UNIVERSITY OF FLORIDA · PI ERIK K FLEMINGTON · 2017 to 2026
$15.9M
Xavier's RCMI Cancer Research ProgramG12MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI D'AMOUR, GENE, WANG, GUANGDI · 2012 to 2018
$15.7M
NCI NIH HHS P01 CA214091NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM103424NIMHD NIH HHS U54 MD007595
6 · The paper itself

Abstract

A major racial disparity in prostate cancer (PCa) is that African American (AA) patients have a higher mortality rate than European American (EA) patients. We filtered the SEER 2009-2011 records and divided them into four groups regarding patient races and cancer grades. On such a partition, we performed a series of statistical analyses to further clarify the aforementioned disparity. Molecular evidence for a primary result of the epidemiological analysis was obtained from gene expression data. The results include: (1) Based on the registry-specific measures, a significant linear regression of total mortality rate (as well as PCa specific mortality rate) on the percentage of (Gleason pattern-based) high-grade cancers (PHG) is demonstrated in EAs (p < 0.01) but not in AAs; (2) PHG and its racial disparity are differentiated across ages and the groups defined by patient outcomes; (3) For patients with cancers in the same grade category, i.e. the high or low grade, the survival stratification between races is not significant in most geographical areas; and (4) The genes differentially expressed between AAs' and EAs' tumors of the same grade category are relatively rare. The perception that prostate tumors are more lethal in AAs than in EAs is reasonable regarding AAs' higher PHG, while high grade alone could not imply aggressiveness. However, this perception is questionable when the comparison is focused on cases within the same grade category. Supporting observations for this conclusion hold a remarkable implication for erasing racial disparity in PCa. That is, "Equal grade, equal outcomes" is not only a verifiable hypothesis but also an achievable public health goal.

Indexed as

Data AnalysisGene Expression Regulation, NeoplasticPublic HealthSEER ProgramAgedAged, 80 and overAge FactorsBlack or African AmericanCluster AnalysisDemographyGene Expression ProfilingHumansIncidenceMaleMiddle AgedNeoplasm Grading

Identifiers

PMID32321981
PMCPMC7176737

What OpenQuestion holds

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Registered trials

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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.