Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

No effect of acute pain or self-reported chronic pain on working memory in the Sternberg task.

Scientific reports·2026
Same author

Exploring Loneliness, Social Factors, and Clinical Correlates of C-reactive Protein in African American Breast Cancer Survivors.

Journal of racial and ethnic health disparities·2026
Same author

Modeling the journey as well as the destination: a control theory account of rotational navigation.

bioRxiv : the preprint server for biology·2026
Same author

Aglatimagene besadenovec (CAN-2409) with radiotherapy for patients with localised prostate cancer: a phase 3, multicentre, randomised, double-blind, placebo-controlled trial.

The Lancet. Oncology·2026
Same author

Infection following foot and ankle surgery : a subanalysis of data captured from the UK Foot and Ankle Thromboembolism (FATE) audit.

The bone & joint journal·2026
Same author

What it Takes to Implement Population-Based Genomic Screening: A Multi-Site Qualitative Study of Implementation Determinants Across Health Systems.

Research square·2026
Same journal

RETRACTED: Sabir et al. DNA Based and Stimuli-Responsive Smart Nanocarrier for Diagnosis and Treatment of Cancer: Applications and Challenges. <i>Cancers</i> 2021, <i>13</i>, 3396.

Cancers·2026
Same journal

Correction: Adeluola et al. Chemoprevention of 4-NQO-Induced Oral Cancer by the Combination of Resveratrol and EGCG: In Vivo, In Silico and In Vitro Studies. <i>Cancers</i> 2026, <i>18</i>, 1098.

Cancers·2026
Same journal

Correction: Peñalver et al. Guidelines for Diagnosis, Treatment, and Follow-Up of Patients with Follicular Lymphoma-Spanish Lymphoma Group (GELTAMO) 2026. <i>Cancers</i> 2026, <i>18</i>, 395.

Cancers·2026
Same journal

Correction: Accorsi Buttini et al. Development of a Simplified Geriatric Score-4 (SGS-4) to Predict Outcomes After Allogeneic Hematopoietic Stem Cell Transplantation in Patients Aged over 50. <i>Cancers</i> 2025, <i>17</i>, 3278.

Cancers·2026
Same journal

Age-Stratified Long-Term Outcomes of Immune Checkpoint Inhibitors for Stage IV Melanoma and NSCLC in The Netherlands: A Population-Based Study.

Cancers·2026
Same journal

Targeting Ferroptosis in Glioblastoma: Molecular Mechanisms, Tumor Microenvironment, and Therapeutic Opportunities.

Cancers·2026
See all related articles

Related Experiment Video

Updated: Oct 16, 2025

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

16.7K

A Systems Approach to Interrogate Gene Expression Patterns in African American Men Presenting with Clinically

Gary Hardiman1,2, Stephen J Savage3,4,5, E Starr Hazard6

  • 1Department of Medicine, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA.

Cancers
|October 23, 2021
PubMed
Summary
This summary is machine-generated.

African American and European American men show distinct cellular stress responses in prostate tissue. These differences, identified through RNA sequencing, correlate with prostate cancer severity in African American men.

Keywords:
African AmericanRNA-Seqhealth disparitiesprecision medicineprostatestresstranscriptomicsvitamin D

More Related Videos

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.0K
Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
12:13

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Published on: November 19, 2019

7.0K

Related Experiment Videos

Last Updated: Oct 16, 2025

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

16.7K
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.0K
Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
12:13

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients

Published on: November 19, 2019

7.0K

Area of Science:

  • Genomics
  • Molecular Biology
  • Cancer Research

Background:

  • Psychological and social stressors may influence racial disparities in cancer risk and outcomes.
  • Limited data exist on racial differences in cellular stress responses among men at risk for adverse prostate cancer outcomes.

Purpose of the Study:

  • To examine molecular profiles and cellular stress responses in African American (AA) and European American (EA) men undergoing prostate biopsy.
  • To identify racial differences in the prostate transcriptome and their association with clinical characteristics.

Main Methods:

  • A systems approach using high-throughput RNA sequencing (RNA-Seq) on single prostate biopsy cores.
  • Transcriptomic analysis to identify differentially expressed genes and impacted biological pathways.
  • Protein-protein interaction (PPI) network analysis.

Main Results:

  • Transcriptomic analysis revealed impacted pathways including PI3K-Akt signaling, Neuroactive ligand-receptor interaction, and ECM-receptor interaction.
  • A signature of 187 differentially expressed genes was identified between EA and AA men, distinguishing patient groups.
  • This genomic signature correlated with higher Gleason scores, more positive biopsy cores, elevated dehydroepiandrosterone sulfate, and vitamin D deficiency in AA patients.

Conclusions:

  • Distinct molecular profiles and cellular stress responses exist between AA and EA men.
  • The identified genomic signature aids in differentiating racial groups and identifying AA patients with more severe prostate cancer characteristics.
  • These findings contribute to understanding the biological underpinnings of racial disparities in prostate cancer outcomes.