Literature DB >> 29784192

Differential Gene Expression in Prostate Tissue According to Ejaculation Frequency.

Jennifer A Sinnott1, Katherine Brumberg2, Kathryn M Wilson3, Ericka M Ebot4, Edward L Giovannucci5, Lorelei A Mucci3, Jennifer R Rider6.   

Abstract

In a prospective study of 31 925 men with 18 yr of follow-up, higher ejaculation frequency (EF) throughout adulthood was associated with lower rates of prostate cancer. To further explore this association, we evaluated whole transcriptome gene expression in the prostate tissue from study participants who developed prostate cancer between 1992 and 2004 (n=157 tumor tissue, n=85 adjacent normal). We tested for trends in gene expression according to the level of EF as self-reported in 1992 for ages 20-29 yr, 40-49 yr, and the year prior to the questionnaire, 1991. There were no associations between EF and gene expression in areas of tumor after accounting for multiple testing. In contrast, in the adjacent normal tissue, 409 genes and six pathways were differentially expressed at a false discovery rate ≤0.2 across categories of EF in 1991. These results suggest that ejaculation affects the expression of genes in the normal prostate tissue. The identified genes and pathways provide potential biological links between EF and prostate tumorigenesis. PATIENT
SUMMARY: To explore previous findings that men who ejaculate more frequently have lower risk of prostate cancer, we evaluated molecular alterations in the prostate tissue according to each man's frequency of ejaculation prior to diagnosis. We identified biological processes that could link ejaculation frequency and prostate cancer.
Copyright © 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gene expression profiling; Prostate cancer; Sexual activity

Mesh:

Year:  2018        PMID: 29784192      PMCID: PMC6489461          DOI: 10.1016/j.eururo.2018.05.006

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  13 in total

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2.  Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.

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3.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

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Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

4.  Association of prostate cancer risk variants with gene expression in normal and tumor tissue.

Authors:  Kathryn L Penney; Jennifer A Sinnott; Svitlana Tyekucheva; Travis Gerke; Irene M Shui; Peter Kraft; Howard D Sesso; Matthew L Freedman; Massimo Loda; Lorelei A Mucci; Meir J Stampfer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-11-04       Impact factor: 4.254

5.  mRNA expression signature of Gleason grade predicts lethal prostate cancer.

Authors:  Kathryn L Penney; Jennifer A Sinnott; Katja Fall; Yudi Pawitan; Yujin Hoshida; Peter Kraft; Jennifer R Stark; Michelangelo Fiorentino; Sven Perner; Stephen Finn; Stefano Calza; Richard Flavin; Matthew L Freedman; Sunita Setlur; Howard D Sesso; Swen-Olof Andersson; Neil Martin; Philip W Kantoff; Jan-Erik Johansson; Hans-Olov Adami; Mark A Rubin; Massimo Loda; Todd R Golub; Ove Andrén; Meir J Stampfer; Lorelei A Mucci
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

6.  Ejaculation Frequency and Risk of Prostate Cancer: Updated Results with an Additional Decade of Follow-up.

Authors:  Jennifer R Rider; Kathryn M Wilson; Jennifer A Sinnott; Rachel S Kelly; Lorelei A Mucci; Edward L Giovannucci
Journal:  Eur Urol       Date:  2016-03-28       Impact factor: 20.096

7.  Ejaculation frequency and subsequent risk of prostate cancer.

Authors:  Michael F Leitzmann; Elizabeth A Platz; Meir J Stampfer; Walter C Willett; Edward Giovannucci
Journal:  JAMA       Date:  2004-04-07       Impact factor: 56.272

Review 8.  Testosterone and prolactin regulation of metabolic genes and citrate metabolism of prostate epithelial cells.

Authors:  L C Costello; R B Franklin
Journal:  Horm Metab Res       Date:  2002-08       Impact factor: 2.936

9.  Differences in gene expression in prostate cancer, normal appearing prostate tissue adjacent to cancer and prostate tissue from cancer free organ donors.

Authors:  Uma R Chandran; Rajiv Dhir; Changqing Ma; George Michalopoulos; Michael Becich; John Gilbertson
Journal:  BMC Cancer       Date:  2005-05-13       Impact factor: 4.430

10.  Gene expression in normal-appearing tissue adjacent to prostate cancers are predictive of clinical outcome: evidence for a biologically meaningful field effect.

Authors:  Cristina Magi-Galluzzi; Tara Maddala; Sara Moscovita Falzarano; Diana B Cherbavaz; Nan Zhang; Dejan Knezevic; Phillip G Febbo; Mark Lee; Hugh Jeffrey Lawrence; Eric A Klein
Journal:  Oncotarget       Date:  2016-06-07
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