論文

査読有り
2014年5月

Effects of 14 frequently used drugs on prostate-specific antigen expression in prostate cancer LNCaP cells

ONCOLOGY LETTERS
  • Kazuhiro Iguchi
  • ,
  • Maki Hashimoto
  • ,
  • Masafumi Kubota
  • ,
  • Shuji Yamashita
  • ,
  • Mitsuhiro Nakamura
  • ,
  • Shigeyuki Usui
  • ,
  • Tadashi Sugiyama
  • ,
  • Kazuyuki Hirano

7
5
開始ページ
1665
終了ページ
1668
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.3892/ol.2014.1936
出版者・発行元
SPANDIDOS PUBL LTD

Prostate cancer occurs more frequently among older males and such elderly individuals often have chronic underlying disorders for which various drugs are administered for treatment. The levels of prostate-specific antigen (PSA), a widely used prostate cancer marker, are influenced by a number of drugs, such as non-steroidal anti-inflammatory drugs and statins. In the present study, the drugs prescribed to patients on a repeat prescription collected at the pharmacy of the Gifu Pharmaceutical University (Gifu, Japan) were examined for their effects on the levels of PSA expression in prostate cancer LNCaP cells. Among the 14 drugs investigated, betamethasone, an agonist of the glucocorticoid receptor, was found to increase the levels of PSA mRNA expression in the LNCaP cells. This betamethasone-induced expression was mediated, at least in part, through androgen receptor (AR) transcriptional activation. Dexamethasone, a typical agonist of the glucocorticoid receptor, was also found to stimulate the AR transcriptional activity, however, to a lesser extent than betamethasone. Therefore, it would be interesting to examine in future studies whether the serum PSA levels in prostate cancer patients are influenced by betamethasone.

リンク情報
DOI
https://doi.org/10.3892/ol.2014.1936
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/24765197
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000337558000065&DestApp=WOS_CPL
ID情報
  • DOI : 10.3892/ol.2014.1936
  • ISSN : 1792-1074
  • eISSN : 1792-1082
  • PubMed ID : 24765197
  • Web of Science ID : WOS:000337558000065

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