A whole-genome scan for Artemisinin cytotoxicity reveals a novel therapy for human brain tumors.
Jasmin Taubenschmid-StowersMichael OrthoferAnna LaemmererChristian KrauditschMarianna RózsováChristian StuderDaniela LötschJohannes GojoLisa GablerMatheus DyczynskiThomas EfferthAstrid HagelkruysGeorg WidhalmAndreas PeyrlSabine Spiegl-KreineckerDominic HoepfnerShan BianWalter BergerJürgen Arthur KnoblichUlrich EllingMoritz HornJosef M PenningerPublished in: EMBO molecular medicine (2023)
The natural compound Artemisinin is the most widely used antimalarial drug worldwide. Based on its cytotoxicity, it is also used for anticancer therapy. Artemisinin and its derivates are endoperoxides that damage proteins in eukaryotic cells; their definite mechanism of action and host cell targets, however, have remained largely elusive. Using yeast and haploid stem cell screening, we demonstrate that a single cellular pathway, namely porphyrin (heme) biosynthesis, is required for the cytotoxicity of Artemisinins. Genetic or pharmacological modulation of porphyrin production is sufficient to alter its cytotoxicity in eukaryotic cells. Using multiple model systems of human brain tumor development, such as cerebral glioblastoma organoids, and patient-derived tumor spheroids, we sensitize cancer cells to dihydroartemisinin using the clinically approved porphyrin enhancer and surgical fluorescence marker 5-aminolevulinic acid, 5-ALA. A combination treatment of Artemisinins and 5-ALA markedly and specifically killed brain tumor cells in all model systems tested, including orthotopic patient-derived xenografts in vivo. These data uncover the critical molecular pathway for Artemisinin cytotoxicity and a sensitization strategy to treat different brain tumors, including drug-resistant human glioblastomas.
Keyphrases
- drug resistant
- endothelial cells
- photodynamic therapy
- induced pluripotent stem cells
- plasmodium falciparum
- induced apoptosis
- stem cells
- cell cycle arrest
- pluripotent stem cells
- multidrug resistant
- energy transfer
- computed tomography
- gene expression
- oxidative stress
- cell therapy
- single cell
- machine learning
- transcription factor
- metal organic framework
- genome wide
- subarachnoid hemorrhage
- resting state
- artificial intelligence
- multiple sclerosis
- endoplasmic reticulum stress
- pseudomonas aeruginosa
- data analysis
- cell death
- mesenchymal stem cells
- magnetic resonance
- big data
- magnetic resonance imaging
- functional connectivity
- replacement therapy
- adverse drug
- brain injury
- drug administration