| Literature DB >> 32839414 |
Ava Bachari1, Terrence J Piva2, Seyed Alireza Salami3, Negar Jamshidi2, Nitin Mantri1.
Abstract
Melanoma is the fourth most common type of cancer diagnosed in Australians after breast, prostate, and colorectal cancers. While there has been substantial progress in the treatment of cancer in general, malignant melanoma, in particular, is resistant to existing medical therapies requiring an urgent need to develop effective treatments with lesser side effects. Several studies have shown that "cannabinoids", the major compounds of the Cannabis sativaL. plant, can reduce cell proliferation and induce apoptosis in melanoma cells. Despite prohibited use of Cannabis in most parts of the world, in recent years there have been renewed interests in exploiting the beneficial health effects of the Cannabis plant-derived compounds. Therefore, the aim of this study was in the first instance to review the evidence from in vivo studies on the effects of cannabinoids on melanoma. Systematic searches were carried out in PubMed, Embase, Scopus, and ProQuest Central databases for relevant articles published from inception. From a total of 622 potential studies, six in vivo studies assessing the use of cannabinoids for treatment of melanoma were deemed eligible for the final analysis. The findings revealed cannabinoids, individually or combined, reduced tumor growth and promoted apoptosis and autophagy in melanoma cells. Further preclinical and animal studies are required to determine the underlying mechanisms of cannabinoids-mediated inhibition of cancer-signaling pathways. Well-structured, randomized clinical studies on cannabinoid use in melanoma patients would also be required prior to cannabinoids becoming a viable and recognized therapeutic option for melanoma treatment in patients.Entities:
Keywords: CBD; THC; apoptosis; cannabinoids; medicinal herbs; melanoma
Mesh:
Substances:
Year: 2020 PMID: 32839414 PMCID: PMC7503316 DOI: 10.3390/ijms21176040
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1Flow diagram showing the search process and results used in this study.
Summary of eligible studies comparing the effects of cannabinoids on melanoma.
| First | Study Population | Tumor | Study Intervention | Dose of Cannabinoid | Duration | Anticancer Outcomes | |||
|---|---|---|---|---|---|---|---|---|---|
| Strain | Age | Number | Intervention | Control | |||||
| Hamtiaux | C57BL/6mice | 5–weeks | B16 melanoma cells | PEA+URB597 | Vehicle | 10 mg/Kg | 6 days | Co-administration of PEA and URB597 resulted in a significant reduction of tumor growth & size | |
| Glodde 2015 | C57BL/6mice Wild-type and CB1/CB2-deficient mice | 8–10 weeks | B16 melanoma cells | THC (s.c) | Vehicle | 5 mg/Kg per day | 25 days | Inhibits HCmel12 melanoma growth but does not affect B16 and CB1/CB2 deficient HCmel12 | |
| Armstrong et al. 2015 | Athymic nude mice | 5 weeks | 20 mice | Xenograft | THC (oral) | Vehicle | 15 mg/Kg (daily) | 20 days | Reduction in tumor size |
| Blazquez 2006 | C57BL/6mice | B16 melanoma cells | WIN55-212-2(s.c) | Vehicle | 50 mg/day | 8 days | WIN55-212-2 | ||
| Kenessey 2012 | SCID mice | HT168-M1 | ACEA (i.p) | Solvent control | 0.24 mg/Kg | 21 days | CB1 agonistic AECA into SCID mice inhibit liver colonization of human melanoma cells | ||
| Simmerman 2018 | C57BL/6mice | 8–12 weeks of age) | 18 ( | Murine melanoma cell line, B16F10 | CBD (i.p) | Vehicle | 5 mg/Kg twice per week | Increased the quality of life and movement; significantly decreased growth curve and increased survival curve | |
Abbreviations: s.c (subcutaneously), i.p (intraperitoneally), BDS (botanic drug substance), CBD (cannabidiol), TEMO (temozolomide: Chemotherapy drug), WIN212-2 and JWH-133 (synthetic cannabinoids), URB597 (inhibitor of the enzyme fatty acid amide hydrolase), PEA (N-Palmitoylethanolamide), THC (Δ⁹-tetrahydrocannabinol), ACEA (synthetic cannabinoid), cisplatin (chemotherapy medication).
Risk of bias assessment in animal studies using SYRCLE (SYstematic Review Centre for Laboratory animal Experimentation) tool *.
| Study | Selection Bias | Performance Bias | Detection Bias | Attrition Bias | Other Bias | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Random Group Allocation | Baseline Group Characteristics | Allocation Conceal | Random Hosing | Blinding of Examiner | Random Outcome Selection | Blinding | Any Randomization | Any Blinding | Size Calculation | Temp Control | ||
| Armstrong | L | H | H | H | H | H | H | H | Y | N | N | N |
| Blazquez | L | L | H | H | H | H | H | H | Y | N | N | N |
| Hamtiaux | L | L | H | H | H | H | H | H | Y | N | N | N |
| Glodde | H | L | H | H | H | H | H | H | N | N | N | N |
| Kenessey | H | H | H | L | H | H | H | H | N | N | N | N |
| Simmerman | H | H | H | L | H | H | H | H | N | N | N | N |
* H = High Risk, L = Low Risk, Y = Clear, N = Not Clear.