Evidence map›Paper›PMID 36810713›Full record

ArticleJournal of racial and ethnic health disparities2024

Bridging Health Disparities: a Genomics and Transcriptomics Analysis by Race in Prostate Cancer.

Kristi Y Lee, Erica L Beatson, Seth M Steinberg, Cindy H Chau, Douglas K Price, William D Figg

Open access · greenAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2024. 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
1.6field-weighted citation impact, top 17% 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, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Kristi Y LeeMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Erica L BeatsonMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Seth M SteinbergBiostatistics and Data Management Section, Office of the Clinical Director, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Cindy H ChauMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Douglas K PriceMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
William D FiggMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. figgw@mail.nih.gov.ORCID http://orcid.org/0000-0003-2428-5613
National Institutes of Health · US

Funding

Office of Collaborative BiostatisticsZIDSC007202 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI CHOO-WOSOBA, HYOYOUNG · 2009 to 2025
$14.5M
Identify SNPs and Polymorphisms Involved in the Development of Prostate CancerZIABC010453 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FIGG, WILLIAM DOUGLAS · 2009 to 2025
$10.4M
Drug Development for Prostate Cancer and other Metastatic ProcessesZIABC010547 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FIGG, WILLIAM DOUGLAS · 2009 to 2025
$10.2M
Intramural NIH HHS ZIA BC010453
6 · The paper itself

Abstract

As the era of cancer genomics expands, disproportionate rates of prostate cancer incidence and mortality by race have demonstrated increasing relevance in clinical settings. While Black men are most particularly affected, as data has historically shown, the opposite is observed for Asian men, thus creating a basis for exploring genomic pathways potentially involved in mediating these opposing trends. Studies on racial differences are limited by sample size, but recent expanding collaborations between research institutions may improve these imbalances to enhance investigations on health disparities from the genomics front. In this study, we performed a race genomics analysis using GENIE v11, released in January 2022, to investigate mutation and copy number frequencies of select genes in both primary and metastatic patient tumor samples. Further, we investigate the TCGA race cohort to conduct an ancestry analysis and to identify differentially expressed genes highly upregulated in one race and subsequently downregulated in another. Our findings highlight pathway-oriented genetic mutation frequencies characterized by race, and further, we identify candidate gene transcripts that have differential expression between Black and Asian men.

Indexed as

Health InequitiesProstatic NeoplasmsAsianBlack or African AmericanGene Expression ProfilingGenomicsHumansMaleBioinformaticsGenomicsHealth disparityProstate cancerRace

Identifiers

PMID36810713
PMCPMC10686215
OpenAlexW4321437621

What Socratic holds

Textmetadata
LicenceTDM
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.