| Literature DB >> 22835386 |
Bo Liu1, Jin-Ku Bao, Jin-Ming Yang, Yan Cheng.
Abstract
Autophagy, an evolutionarily conserved lysosomal degradation process, has drawn an increasing amount of attention in recent years for its role in a variety of human diseases, such as cancer. Notably, autophagy plays an important role in regulating several survival and death signaling pathways that determine cell fate in cancer. To date, substantial evidence has demonstrated that some key autophagic mediators, such as autophagy-related genes (ATGs), PI3K, mTOR, p53, and Beclin-1, may play crucial roles in modulating autophagic activity in cancer initiation and progression. Because autophagy-modulating agents such as rapamycin and chloroquine have already been used clinically to treat cancer, it is conceivable that targeting autophagic pathways may provide a new opportunity for discovery and development of more novel cancer therapeutics. With a deeper understanding of the regulatory mechanisms governing autophagy, we will have a better opportunity to facilitate the exploitation of autophagy as a target for therapeutic intervention in cancer. This review discusses the current status of targeting autophagic pathways as a potential cancer therapy.Entities:
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Year: 2012 PMID: 22835386 PMCID: PMC3845592 DOI: 10.5732/cjc.012.10010
Source DB: PubMed Journal: Chin J Cancer ISSN: 1944-446X
Figure 1Multiple stages of autophagy and the involved molecular regulators.
Autophagy is stimulated by nutrient deprivation, hypoxia, cytokines, hormones, and DNA damage. The early stages of activation require ATG1 and ATG13, which in turn can be inhibited by mTOR. Vesicle nucleation depends on Beclin-1-class III PI3K-Vps15 core complexes and other proteins. Vesicle elongation and completion are mediated by the Atg16L complex and LC3. Docking and fusion refer to the maturation of autolysosomes and are promoted by Rab7, LAMP1, LAMP2, SKD1, Vtil 1b, and the ESCRT complex. In the last stage, autophagosomal cargoes are digested and then nutrients and energy are recycled.
Figure 2Autophagy network-based identification of novel targets for drug discovery.
Some sophisticated mathematical models have been used to disrupt protein-protein interactions. In addition, with increasing accuracy, small molecules that inhibit or promote protein-protein interactions (PPIs) can be screened as potential candidate drugs. Thus, the autophagic PPI network can provide more novel insights into how these hub proteins and their autophagic pathways can play key roles as potential drug targets in cancer treatment.