Evidence map›Paper›PMID 31107158›Full record

ArticleThe Journal of urology2019

African American Specific Gene Panel Predictive of Poor Prostate Cancer Outcome.

Michelle I Echevarria, Shivanshu Awasthi, Chia-Ho Cheng, Anders E Berglund, Robert J Rounbehler, Travis A Gerke, Mandeep Takhar, Elai Davicioni, Eric A Klein, Stephen J Freedland and 7 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The Journal of urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  3. Journal of racial and ethnic health disparities · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 9 institutions in 2 countries.

Michelle I Echevarria *H. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Shivanshu Awasthi *H. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Chia-Ho ChengH. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Anders E BerglundH. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Robert J RounbehlerH. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Travis A GerkeH. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Mandeep TakharGenomeDx Biosciences , Vancouver , British Columbia , Canada.
Elai DavicioniGenomeDx Biosciences , Vancouver , British Columbia , Canada.
Eric A KleinGlickman Urological Institute, Cleveland Clinic , Cleveland , Ohio.
Stephen J FreedlandCedars-Sinai , Los Angeles , California.
Ashley E RossJohns Hopkins University , Baltimore , Maryland.
Edward M SchaefferNorthwestern University , Evanston , Illinois.
Robert B DenSidney Kimmel Medical College at Thomas Jefferson University, Sidney Kimmel Cancer Center , Philadelphia , Pennsylvania.
John L ClevelandH. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Jong Y ParkH. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Walter RayfordThe Urology Group, P. C. , Memphis , Tennessee.
Kosj YamoahH. Lee Moffitt Cancer Center and Research Institute , Tampa , Florida.
Moffitt Cancer Center · USGenome British Columbia · CACedars-Sinai Medical Center · USCleveland Clinic · USGTx (United States) · USJohns Hopkins University · USNorthwestern University · USRegional Urology · USThomas Jefferson University · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

purposeMost prostate cancer in African American men lacks the ETS (E26 transforming specific) family fusion event (ETS-). We aimed to establish clinically relevant biomarkers in African American men by studying ETS dependent gene expression patterns to identified race specific genes predictive of outcomes. MATERIALS AND

methodsTwo multicenter cohorts of a total of 1,427 men were used for the discovery and validation (635 and 792 men, respectively) of race specific predictive biomarkers. We used false discovery rate adjusted q values to identify race and ETS dependent genes which were differentially expressed in African American men who experienced biochemical recurrence within 5 years. Principal component modeling along with survival analysis was done to assess the accuracy of the gene panel in predicting recurrence.

resultsWe identified 3,047 genes which were differentially expressed based on ETS status. Of these genes 362 were differentially expressed in a race specific manner (false discovery rate 0.025 or less). A total of 81 genes were race specific and over expressed in African American men who experienced biochemical recurrence. The final gene panel included APOD, BCL6, EMP1, MYADM, SRGN and TIMP3. These genes were associated with 5-year biochemical recurrence (HR 1.97, 95% CI 1.27-3.06, p = 0.002) and they improved the predictive accuracy of clinicopathological variables only in African American men (60-month time dependent AUC 0.72).

conclusionsIn an effort to elucidate biological features associated with prostate cancer aggressiveness in African American men we identified ETS dependent biomarkers predicting early onset biochemical recurrence only in African American men. Thus, these ETS dependent biomarkers representing ideal candidates for biomarkers of aggressive disease in this patient population.

Indexed as

AgedBiomarkers, TumorBlack or African AmericanCohort StudiesGene Expression RegulationHumansMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisProstatic NeoplasmsProto-Oncogene Proteins c-etsBiomarkers, TumorProto-Oncogene Proteins c-etsAfrican Americansbiomarkersgene expression regulationlocalneoplasm recurrenceneoplasticprostatic neoplasmstumor

Identifiers

PMID31107158
PMCPMC7882398
OpenAlexW2914103942

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.