Multi-Target Neural Differentiation (MTND) Therapeutic Cocktail to Suppress Brain Tumor

Int J Mol Sci. 2023 Aug 2;24(15):12329. doi: 10.3390/ijms241512329.

Abstract

Brain tumors have been proved challenging to treat. Here we established a Multi-Target Neural Differentiation (MTND) therapeutic cocktail to achieve effective and safe treatment of brain malignancies by targeting the important hallmarks in brain cancers: poor cell differentiation and compromised cell cycle. In-vitro and in-vivo experiments confirmed the significant therapeutic effect of our MTND therapy. Significantly improved therapeutic effects over current first-line chemo-drugs have been identified in clinical cells, with great inhibition of the growth and migration of tumor cells. Further in-vivo experiments confirmed that sustained MTND treatment showed a 73% reduction of the tumor area. MTND also induced strong expression of phenotypes associated with cell cycle exit/arrest and rapid neural reprograming from clinical glioma cells to glutamatergic and GABAergic expressing cells, which are two key neuronal types involved in many human brain functions, including learning and memory. Collectively, MTND induced multi-targeted genotypic expression changes to achieve direct neural conversion of glioma cells and controlled the cell cycle/tumorigenesis development, helping control tumor cells' malignant proliferation and making it possible to treat brain malignant tumors effectively and safely. These encouraging results open avenues to developing new therapies for brain malignancies beyond cytotoxic agents, providing more effective medication recommendations with reduced toxicity.

Keywords: brain tumors; differentiation therapy; glioma; multi-targets therapy; neural regeneration.

MeSH terms

  • Antineoplastic Agents* / therapeutic use
  • Brain Neoplasms* / drug therapy
  • Brain Neoplasms* / genetics
  • Cell Differentiation
  • Cell Line, Tumor
  • Glioma* / drug therapy
  • Glioma* / metabolism
  • Humans

Substances

  • Antineoplastic Agents

Grants and funding

This work was supported by the National Natural Science Foundation of China (Grant number: 32101160, 81870878), Shenzhen Science and Technology Program (Grant number: GXWD20200830123048001), Foundation of Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument (Grant number: 2020B1212060077), Guangdong Natural Science Foundation for Distinguished Young Scholars (2019B151502010).