Evidence map›Paper›PMID 42391057›Full record

ArticleJNCI cancer spectrum2026

Sociodemographic trends in prostate cancer: insights from the All of Us Research Program.

Dhruv G Pillai, Vivian A Guedes, Nicholas G Micheletti, Jessica D Kindrick, Benjamin C Brim, Hyoyoung Choo-Wosoba, Cindy H Chau, William D Figg

Abstract read
In one paragraph

Article in JNCI cancer spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Dhruv G PillaiMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Vivian A GuedesClinical Pharmacology Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0001-8478-2465
Nicholas G MichelettiOffice of Collaborative Biostatistics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Jessica D KindrickMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Benjamin C BrimMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0002-6713-3292
Hyoyoung Choo-WosobaOffice of Collaborative Biostatistics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0002-8756-1016
Cindy H ChauMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0002-6928-3833
William D FiggMolecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0003-2428-5613

Funding

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
Center for Cancer Research, National Cancer Institute, National Institutes of Health Intramural Research ZIA BC 010453Intramural NIH HHS ZIA BC010453
6 · The paper itself

Abstract

backgroundProstate cancer disproportionately affects vulnerable populations. The All of Us Research Program (AoURP) is a database that aims to encapsulate the diversity of the United States. To explore the utility of this dataset in assessing prostate cancer disparities, we investigated whether treatment usage, disease progression, and genomic research participation vary across sociodemographic factors among AoURP participants with prostate cancer.

methodsWe identified AoURP participants with prostate cancer. Genomic research participation in AoURP, treatment usage, time-to-treatment, and time-to-metastasis were assessed by demographics and distance from a National Cancer Institute-designated comprehensive cancer center. Multivariable logistic regression and Cox proportional hazards regression were performed to evaluate treatment usage and time-to-treatment and time-to-metastasis, respectively.

resultsWe observed lower genomic data availability in Black vs White patients (P < .001). In multivariable analyses, patients residing more than 80 miles from an NCI-designated comprehensive cancer center were less likely to receive androgen receptor pathway inhibitors (odds ratio [OR] = 0.30, 95% CI = 0.14 to 0.66; P = .002) and bone targeting agents (OR = 0.46, 95% CI = 0.30 to 0.70; P < .001) but more likely to undergo prostatectomy (OR = 1.97, 95% CI = 1.43 to 2.71; P < .001) than those residing less than 40 miles away. These patients also initiated treatment faster (hazard ratio [HR] = 1.54, 95% CI = 1.27 to 1.87; P < .001) and developed metastasis slower (HR = 0.58, 95% CI = 0.40 to 0.86; P = .006). Black patients were less likely to receive radiation (OR = 0.45, 95% CI = 0.23 to 0.88; P = .020), prostatectomy (OR = 0.65, 95% CI = 0.44 to 0.96; P = .028), and bone targeting agents (OR = 0.65, 95% CI = 0.45 to 0.93; P = .018) than White patients.

conclusionsProstate cancer treatment usage, disease progression, and genomic research participation varied between demographic populations. As AoURP matures, additional studies may leverage future data releases to confirm these findings.

Indexed as

Healthcare DisparitiesProstatic NeoplasmsAgedAndrogen AntagonistsBlack or African AmericanDatabases, FactualDisease ProgressionHumansLogistic ModelsMaleMiddle AgedNational Cancer Institute (U.S.)Proportional Hazards ModelsProstatectomyTime FactorsUnited StatesAndrogen Antagonists

Identifiers

PMID42391057
PMCPMC13541381

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.