Natural products targeting cancer cell dependency
| Autor: | Eun Ju Yang, Joong Sup Shim, Shishi Tao, Guowen Ren, Pui Kei Mou, Changxiang Shi |
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| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
030106 microbiology Druggability Antineoplastic Agents Computational biology Synthetic lethality Biology 01 natural sciences 03 medical and health sciences Drug Delivery Systems RNA interference Neoplasms Drug Discovery medicine CRISPR Animals Humans Pharmacology Biological Products 010405 organic chemistry Cancer medicine.disease 0104 chemical sciences Cancer cell Ovarian cancer Function (biology) |
| Zdroj: | The Journal of antibiotics. 74(10) |
| ISSN: | 1881-1469 |
| Popis: | Precision cancer medicine is a tailored treatment approach for individual cancer patients with different genomic characteristics. Mutated or hyperactive oncogenes have served as main drug targets in current precision cancer medicine, while defective or inactivated tumor suppressors in general have not been considered as druggable targets. Synthetic lethality is one of very few approaches that enable to target defective tumor suppressors with pharmacological agents. Synthetic lethality exploits cancer cell dependency on a protein or pathway, which arises when the function of a tumor suppressor is defective. This approach has been proven to be effective in clinical settings since the successful clinical introduction of BRCA-PARP synthetic lethality for the treatment of breast and ovarian cancer with defective BRCA. Subsequently, large-scale screenings with RNAi, CRISPR/Cas9-sgRNAs, and chemical libraries have been applied to identify synthetic lethal partners of tumor suppressors. Natural products are an important source for the discovery of pharmacologically active small molecules. However, little effort has been made in the discovery of synthetic lethal small molecules from natural products. This review introduces recent advances in the discovery of natural products targeting cancer cell dependency and discusses potentials of natural products in the precision cancer medicine. |
| Databáze: | OpenAIRE |
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