Evidence map›Paper›PMID 23754304›Full record

ArticleInternational journal of cancer2014

Expression differences between African American and Caucasian prostate cancer tissue reveals that stroma is the site of aggressive changes.

Matthew A Kinseth, Zhenyu Jia, Farahnaz Rahmatpanah, Anne Sawyers, Manuel Sutton, Jessica Wang-Rodriguez, Dan Mercola, Kathleen L McGuire

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
3.8field-weighted citation impact, top 7% 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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 87 citations in OpenAlex.

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  17. Racial Disparities in Prostate Cancer: Evaluation of Diet, Lifestyle, Family History, and Screening Patterns.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    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

8 authors at 4 institutions in 2 countries.

Matthew A KinsethDepartment of Biology, San Diego State University, San Diego, CA.
Zhenyu Jia
Farahnaz Rahmatpanah
Anne Sawyers
Manuel Sutton
Jessica Wang-Rodriguez
Dan Mercola
Kathleen L McGuire
University of California, Irvine · USSan Diego State University · USGuizhou Normal University · CNVA San Diego Healthcare System · US

Funding

Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Christine Hui · 1994 to 2026
$57.9M
Research Education CoreU54CA132384 · NCI · SAN DIEGO STATE UNIVERSITY · PI CRIPPS, RICHARD MATTHEW, CROWE, SHEILA E. · 2008 to 2022
$20.7M
Research Education CoreU54CA132379 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARREDONDO, ELVA M, CROWE, SHEILA E. · 2008 to 2021
$16.1M
CARCINOGENESIST32CA009054 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI EDINGER, AIMEE L, FRUMAN, DAVID ALEXANDER · 1985 to 2025
$8.6M
The Prostate Cancer Tumor Microenvironment Exhibits Differentially Expressed GeneU01CA152738 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI LEE, CHUNG, MERCOLA, DAN · 2010 to 2015
$3.6M
Inflammatory Differentiation of Colorectal Cancer Among African AmericansU01CA162147 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CARETHERS, JOHN M · 2012 to 2016
$1.4M
NCI NIH HHS P30 CA062203NCI NIH HHS P30CA62203NCI NIH HHS T32 CA009054NCI NIH HHS U011CA162147NCI NIH HHS U01CA11480NCI NIH HHS U01 CA152738NCI NIH HHS U01CA152738NCI NIH HHS U01 CA162147NCI NIH HHS U54 CA132379NCI NIH HHS U54CA132379NCI NIH HHS U54 CA132384NCI NIH HHS U54CA132384
6 · The paper itself

Abstract

In prostate cancer, race/ethnicity is the highest risk factor after adjusting for age. African Americans have more aggressive tumors at every clinical stage of the disease, resulting in poorer prognosis and increased mortality. A major barrier to identifying crucial gene activity differences is heterogeneity, including tissue composition variation intrinsic to the histology of prostate cancer. We hypothesized that differences in gene expression in specific tissue types would reveal mechanisms involved in the racial disparities of prostate cancer. We examined 17 pairs of arrays for AAs and Caucasians that were formed by closely matching the samples based on the known tissue type composition of the tumors. Using pair-wise t-test we found significantly altered gene expression between AAs and CAs. Independently, we performed multiple linear regression analyses to associate gene expression with race considering variation in percent tumor and stroma tissue. The majority of differentially expressed genes were associated with tumor-adjacent stroma rather than tumor tissue. Extracellular matrix, integrin family and signaling mediators of the epithelial-to-mesenchymal transition (EMT) pathways were all downregulated in stroma of AAs. Using MetaCore (GeneGo) analysis, we observed that 35% of significant (p < 10(-3)) pathways identified EMT and 25% identified immune response pathways especially for interleukins-2, -4, -5, -6, -7, -10, -13, -15 and -22 as the major changes. Our studies reveal that altered immune and EMT processes in tumor-adjacent stroma may be responsible for the aggressive nature of prostate cancer in AAs.

Indexed as

Epithelial-Mesenchymal TransitionTumor MicroenvironmentBlack or African AmericanHumansMaleMiddle AgedNeoplasm GradingProstatic NeoplasmsTissue Array AnalysisTranscriptomeWhite PeopleEMTimmune responseprostate cancerracial disparitystroma expression

Identifiers

PMID23754304
PMCPMC3800217
OpenAlexW1841526707

What OpenQuestion 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 OpenQuestion graph.