論文

査読有り
2013年8月

CD146 and insulin-like growth factor 2 mRNA-binding protein 3 predict prognosis of asbestos-induced rat mesothelioma

CANCER SCIENCE
  • Yasumasa Okazaki
  • ,
  • Hirotaka Nagai
  • ,
  • Shan H. Chew
  • ,
  • Jiang Li
  • ,
  • Satomi Funahashi
  • ,
  • Tohru Tsujimura
  • ,
  • Shinya Toyokuni

104
8
開始ページ
989
終了ページ
995
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/cas.12185
出版者・発行元
WILEY-BLACKWELL

Malignant mesothelioma (MM), which is associated with asbestos exposure, is one of the most deadly tumors in humans. Early MM is concealed in the serosal cavities and lacks specific clinical symptoms. For better treatment, early detection and prognostic markers are necessary. Recently, CD146 and insulin-like growth factor 2 mRNA-binding protein 3 (IMP3) were reported as possible positive markers of MM to distinguish from reactive mesothelia in humans. However, their application on MM of different species and its impact on survival remain to be elucidated. To disclose the utility of these molecules as early detection and prognostic markers of MM, we injected chrysotile or crocidolite intraperitoneally to rats, thus obtaining 26 peritoneal MM and establishing 11 cell lines. We immunostained CD146 and IMP3 using paraffin-embedded tissues and cell blocks and found CD146 and IMP3 expression in 58% (15/26) and 65% (17/26) of MM, respectively, but not in reactive mesothelia. There was no significant difference in both immunostainings for overexpression among the three histological subtypes of MM and the expression of CD146 and IMP3 was proportionally associated. Furthermore, the overexpression of CD146 and/or IMP3 was proportionally correlated with shortened survival. These results suggest that CD146 and IMP3 are useful diagnostic and prognostic markers of MM.

リンク情報
DOI
https://doi.org/10.1111/cas.12185
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000325680400001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1111/cas.12185
  • ISSN : 1349-7006
  • Web of Science ID : WOS:000325680400001

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