Japanese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Pathology International 2017-Feb

Overexpression of cannabinoid receptor 1 in esophageal squamous cell carcinoma is correlated with metastasis to lymph nodes and distant organs, and poor prognosis.

登録ユーザーのみが記事を翻訳できます
ログインサインアップ
リンクがクリップボードに保存されます
Naoki Hijiya
Tomotaka Shibata
Tsutomu Daa
Ryoji Hamanaka
Tomohisa Uchida
Keiko Matsuura
Yoshiyuki Tsukamoto
Chisato Nakada
Hidekatsu Iha
Masafumi Inomata

キーワード

概要

In patients with esophageal squamous cell carcinoma (ESCC), the status of metastasis to lymph nodes is strongly associated with prognosis. Consequently, development of a biomarker to detect the presence of metastasis would be clinically valuable. In this study, we found that overexpression of cannabinoid receptor 1 (CB1R) was applicable as a marker for prediction of metastasis in ESCC. CB1R overexpression was detected immunohistochemically in 54 of 88 cases (61.4%). The intensity of CB1R expression was uniform in both intraepithelial and invasive regions in each case, and was significantly correlated with the status of metastasis to lymph nodes (P = 0.046) and distant organs (P = 0.047). Furthermore, multivariate analysis revealed that CB1R overexpression was independently associated with poor prognosis (P = 0.019). Biological analysis of CB1R overexpression using ESCC cell lines revealed that CB1R activation appeared to promote cell proliferation and invasion. On the basis of these findings, we propose that evaluation of CB1R expression status in biopsy specimens of ESCC using immunohistochemistry might be clinically useful for prediction of metastasis to lymph nodes and distant organs.

Facebookページに参加する

科学に裏打ちされた最も完全な薬草データベース

  • 55の言語で動作します
  • 科学に裏打ちされたハーブ療法
  • 画像によるハーブの認識
  • インタラクティブGPSマップ-場所にハーブをタグ付け(近日公開)
  • 検索に関連する科学出版物を読む
  • それらの効果によって薬草を検索する
  • あなたの興味を整理し、ニュース研究、臨床試験、特許について最新情報を入手してください

症状や病気を入力し、役立つ可能性のあるハーブについて読み、ハーブを入力して、それが使用されている病気や症状を確認します。
*すべての情報は公開された科学的研究に基づいています

Google Play badgeApp Store badge