論文

査読有り 招待有り
2017年

RNA Sequencing Analysis Reveals Interactions between Breast Cancer or Melanoma Cells and the Tissue Microenvironment during Brain Metastasis

BIOMED RESEARCH INTERNATIONAL
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回数 : 155
  • Ryo Sato
  • Teppei Nakano
  • Mari Hosonaga
  • Oltea Sampetrean
  • Ritsuko Harigai
  • Takashi Sasaki
  • Ikuko Koya
  • Hideyuki Okano
  • Jun Kudoh
  • Hideyuki Saya
  • Yoshimi Arima
  • 全て表示

開始ページ
8032910
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1155/2017/8032910
出版者・発行元
HINDAWI LTD

Metastasis is the main cause of treatment failure and death in cancer patients. Metastasis of tumor cells to the brain occurs frequently in individuals with breast cancer, non-small cell lung cancer, or melanoma. Despite recent advances in our understanding of the causes and in the treatment of primary tumors, the biological and molecular mechanisms underlying the metastasis of cancer cells to the brain have remained unclear. Metastasizing cancer cells interact with their microenvironment in the brain to establish metastases. We have now developed mouse models of brain metastasis based on intracardiac injection of human breast cancer or melanoma cell lines, and we have performed RNA sequencing analysis to identify genes in mouse brain tissue and the human cancer cells whose expression is associated specifically with metastasis. We found that the expressions of the mouse genes Tph2, Sspo, Ptprq, and Pole as well as those of the human genes CXCR4, PLLP, TNFSF4, VCAM1, SLC8A2, and SLC7A11 were upregulated in brain tissue harboring metastases. Further characterization of such genes that contribute to the establishment of brain metastases may provide a basis for the development of new therapeutic strategies and consequent improvement in the prognosis of cancer patients.

リンク情報
DOI
https://doi.org/10.1155/2017/8032910
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000394020100001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1155/2017/8032910
  • ISSN : 2314-6133
  • eISSN : 2314-6141
  • Web of Science ID : WOS:000394020100001

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