Cannabis sativa phytochemicals in cancer therapy: molecular mechanisms and therapeutic potential.

BACKGROUND

The therapeutic potential of Cannabis sativa has attracted growing interest in oncology. Its diverse phytochemicals, including cannabinoids, flavonoids, and terpenes, interact with oncogenic signaling pathways and the endocannabinoid system influencing tumour progression and therapeutic responses.

OBJECTIVE

This review critically evaluates the molecular mechanisms by which Cannabis sativa phytochemicals modulate cancer pathways, with emphasis on apoptosis, oxidative stress regulation, autophagy, angiogenesis, and metastasis. It also explores synergistic and additive interactions among cannabinoids and flavonoids, highlighting their translational relevance.

KEY FINDINGS: Cannabinoids such as Δ9-tetrahydrocannabinol (THC), cannabidiol (CBD), and cannabigerol (CBG) exhibit pathway-specific effects, including induction of apoptosis, modulation of oxidative stress, and inhibition of angiogenesis. Flavonoids such as cannflavin A, genistein, daidzein, hesperetin, and naringenin exhibit selective cytotoxicity across bladder, breast, melanoma, and pancreatic cancers, often sparing normal tissue. Importantly, phytochemical interactions are not uniformly synergistic; while combinations such as THC and CBD amplify apoptotic signaling, others act additively or antagonistically. Clinical formulations such as Nabiximols provide translational evidence of cannabinoid synergy, although outcomes remain context-dependent.

CONCLUSION

The disconnect between preclinical efficacy and clinical outcomes underscores critical gaps in dosing strategies, patient selection, and combination regimens. Future research should prioritize mechanistic studies, rational phytochemical combinations, and innovative drug delivery systems. Taken together, Cannabis sativa phytochemicals emerge as promising molecular entities with the potential to reshape integrative oncology, provided their therapeutic promise is matched with rigorous, evidence-based evaluation.