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PMID: 30397274 Published · epublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Dysregulated gene expression predicts tumor aggressiveness in African-American prostate cancer patients.

Scientific reports ·Vol. 8 ·No. 1 ·2018-00-05 ·页码 16335

Ali HEA, Lung PY, Sholl AB, Gad SA, Bustamante JJ, Ali HI, Rhim JS, Deep G, Zhang J, Abd Elmageed ZY

Abstract

Molecular mechanisms underlying the health disparity of prostate cancer (PCa) have not been fully determined. In this study, we applied bioinformatic approach to identify and validate dysregulated genes associated with tumor aggressiveness in African American (AA) compared to Caucasian American (CA) men with PCa. We retrieved and analyzed microarray data from 619 PCa patients, 412 AA and 207 CA, and we validated these genes in tumor tissues and cell lines by Real-Time PCR, Western blot, immunocytochemistry (ICC) and immunohistochemistry (IHC) analyses. We identified 362 differentially expressed genes in AA men and involved in regulating signaling pathways associated with tumor aggressiveness. In PCa tissues and cells, NKX3.1, APPL2, TPD52, LTC4S, ALDH1A3 and AMD1 transcripts were significantly upregulated (p < 0.05) compared to normal cells. IHC confirmed the overexpression of TPD52 (p = 0.0098) and LTC4S (p < 0.0005) in AA compared to CA men. ICC and Western blot analyses additionally corroborated this observation in PCa cells. These findings suggest that dysregulation of transcripts in PCa may drive the disparity of PCa outcomes and provide new insights into development of new therapeutic agents against aggressive tumors. More studies are warranted to investigate the clinical significance of these dysregulated genes in promoting the oncogenic pathways in AA men.

MeSH 主题词
Adult African Americans/genetics,statistics & numerical data Cell Line, Tumor Gene Expression Regulation, Neoplastic Humans Male Middle Aged Oligonucleotide Array Sequence Analysis Prognosis Prostatic Neoplasms/diagnosis,ethnology,genetics,pathology Signal Transduction/genetics Whites/genetics,statistics & numerical data
作者与单位
共 10 位作者,点击展开单位 / ORCID
Ali Hamdy E A
Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M Health Sciences Center, Kingsville, TX, USA. | Department of Radiobiological Applications, Nuclear Research Center, Atomic Energy Authority, Cairo, Egypt.
Lung Pei-Yau
Department of Statistics, Florida State University, Tallahassee, FL, USA.
Sholl Andrew B
Departments of Pathology, Tulane University School of Medicine, New Orleans, LA, USA.
Gad Shaimaa A
Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M Health Sciences Center, Kingsville, TX, USA.
Bustamante Juan J
Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M Health Sciences Center, Kingsville, TX, USA.
Ali Hamed I
Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M Health Sciences Center, Kingsville, TX, USA.
Rhim Johng S
Department of Surgery, Uniformed Services University of the Health Sciences, Bethesda, MD, USA.
Deep Gagan
Department of Cancer Biology, Wake Forest Baptist Medical Center, Winston-Salem, NC, USA.
Zhang Jinfeng
Department of Statistics, Florida State University, Tallahassee, FL, USA.
Abd Elmageed Zakaria Y ORCID
Department of Pharmaceutical Sciences, Rangel College of Pharmacy, Texas A&M Health Sciences Center, Kingsville, TX, USA. elmageed@tamhsc.edu.
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Corresponding email
Published
2018-00-05
电子出版
2018-00-05
页码
16335
Language
English
Country/Region
England
NLM ID
101563288
基金资助
NCI NIH HHS · R21 CA194750 · United States
NCI NIH HHS · R21 CA199628 · United States
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