Korean
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)
Iranian Biomedical Journal 2018-Jun

Assessment of Cannabinoids Agonist and Antagonist in Invasion Potential of K562 Cancer Cells

등록 된 사용자 만 기사를 번역 할 수 있습니다.
로그인 / 가입
링크가 클립 보드에 저장됩니다.
Fatemeh Gholizadeh
Mohammad Hossein Ghahremani
Shima Aliebrahimi
Amir Shadboorestan
Seyed Nasser Ostad

키워드

요약

The prominent hallmark of malignancies is the metastatic spread of cancer cells. Recent studies have reported that the nature of invasive cells could be changed after this phenomenon, causing chemotherapy resistance. It has been demonstrated that the up-regulated expression of matrix metalloproteinase (MMP) 2/MMP-9, as a metastasis biomarker, can fortify the metastatic potential of leukemia. Furthermore, investigations have confirmed the inhibitory effect of cannabinoid and endocannabinoid on the proliferation of cancer cells in vitro and in vivo.

In the present study, the inhibitory effect of WIN 55212-2 (a CB1/CB2 receptor agonist) and AM251 (a selective CB1 receptor antagonist) on K562 cells, as a chronic myelogenous leukemia (CML) model, was evaluated using MTT and invasion assay. Expressions of MMP-2 and MMP-9 were then assessed by Western blot analysis.

The data obtained from MTT assay showed that WIN 55212-2 could attenuate cell proliferation; however, AM251 was less effective in this regard. Our results showed that WIN 55212-2 considerably reduced cancer cell invasiveness, while AM251 exhibited a converse effect. Moreover, CB1 activation resulted in decreased expression of MMP-2 and MMP-9.

Our findings clarifies that CB1 receptors are responsible for anti-invasive effects in the K562 cell line.

페이스 북
페이지에 가입하세요

과학이 뒷받침하는 가장 완벽한 약초 데이터베이스

  • 55 개 언어로 작동
  • 과학이 뒷받침하는 약초 치료제
  • 이미지로 허브 인식
  • 인터랙티브 GPS지도-위치에 허브 태그 지정 (출시 예정)
  • 검색과 관련된 과학 출판물 읽기
  • 효과로 약초 검색
  • 관심사를 정리하고 뉴스 연구, 임상 실험 및 특허를 통해 최신 정보를 확인하세요.

증상이나 질병을 입력하고 도움이 될 수있는 약초에 대해 읽고 약초를 입력하고 사용되는 질병과 증상을 확인합니다.
* 모든 정보는 발표 된 과학 연구를 기반으로합니다.

Google Play badgeApp Store badge