Suppr超能文献

大麻中存在的大麻素、萜类化合物和黄酮类化合物的抗癌潜力。

Anti-Cancer Potential of Cannabinoids, Terpenes, and Flavonoids Present in Cannabis.

作者信息

Tomko Andrea M, Whynot Erin G, Ellis Lee D, Dupré Denis J

机构信息

Department of Pharmacology, Faculty of Medicine, Dalhousie University, Halifax, NS B3H 4R2, Canada.

Aquatic and Crop Resource Development Research Center, National Research Council of Canada, Halifax, NS B3H 3Z1, Canada.

出版信息

Cancers (Basel). 2020 Jul 21;12(7):1985. doi: 10.3390/cancers12071985.

Abstract

In recent years, and even more since its legalization in several jurisdictions, cannabis and the endocannabinoid system have received an increasing amount of interest related to their potential exploitation in clinical settings. Cannabinoids have been suggested and shown to be effective in the treatment of various conditions. In cancer, the endocannabinoid system is altered in numerous types of tumours and can relate to cancer prognosis and disease outcome. Additionally, cannabinoids display anticancer effects in several models by suppressing the proliferation, migration and/or invasion of cancer cells, as well as tumour angiogenesis. However, the therapeutic use of cannabinoids is currently limited to the treatment of symptoms and pain associated with chemotherapy, while their potential use as cytotoxic drugs in chemotherapy still requires validation in patients. Along with cannabinoids, cannabis contains several other compounds that have also been shown to exert anti-tumorigenic actions. The potential anti-cancer effects of cannabinoids, terpenes and flavonoids, present in cannabis, are explored in this literature review.

摘要

近年来,尤其是在几个司法管辖区将其合法化之后,大麻和内源性大麻素系统因其在临床环境中的潜在应用而受到越来越多的关注。大麻素已被认为并证明对治疗各种病症有效。在癌症中,内源性大麻素系统在多种类型的肿瘤中发生改变,并且可能与癌症预后和疾病转归有关。此外,大麻素在多种模型中通过抑制癌细胞的增殖、迁移和/或侵袭以及肿瘤血管生成而显示出抗癌作用。然而,大麻素的治疗用途目前仅限于治疗与化疗相关的症状和疼痛,而它们作为化疗中细胞毒性药物的潜在用途仍需要在患者中进行验证。除了大麻素,大麻还含有其他几种已被证明具有抗肿瘤作用的化合物。本文献综述探讨了大麻中存在的大麻素、萜类化合物和黄酮类化合物的潜在抗癌作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3bee/7409346/16e491142773/cancers-12-01985-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验