The
BET proteins, which include
c-Myc, play a crucial role in the regulation of
cancer-related genes.
JQ1, a potent
BRD4 inhibitor, has shown effectiveness in clinical trials for
multiple myeloma, but resistance has been a concern. To address this, a new class of dual inhibitors has been developed, targeting not only BRD4 but also tyrosine kinases that are frequently overexpressed in cancer.
SG3-014 emerged as a promising candidate with comparable inhibitory activity to JQ1 against BRD4 and c-Myc, while also inhibiting cancer-associated kinases implicated in drug resistance.
Laboratory tests on multiple myeloma cell lines indicated that SG3-014 demonstrated greater sensitivity than JQ1. Animal studies further supported the potential of SG3-014, showing improved survival rates and a reduction in myeloma-induced
bone disease in treated mice. Examination of clinical data identified
ULK3 as a key target of
SG3-014, with its expression linked to disease progression. Given ULK3's role in cellular processes that protect cancer cells from apoptosis, the impact of SG3-014 on the autophagy pathway was investigated.
Initial findings indicate that SG3-014 inhibits autophagy, reducing levels of key proteins and disrupting autophagosome formation, an effect not observed with JQ1. Further research is underway to understand how SG3-014's inhibition of ULK3 contributes to cancer cell death via autophagy. Future work will involve analyzing patient samples and assessing the inhibitor's effectiveness in patient-derived multiple myeloma cells.
The study suggests that a dual approach targeting BRD4 and autophagy could be a robust strategy to combat multiple myeloma and circumvent resistance to single-target therapies.
How to Use Synapse Database to Search and Analyze Translational Medicine Data?
The transational medicine section of the Synapse database supports searches based on fields such as drug, target, and indication, covering the T0-T3 stages of translation. Additionally, it offers a historical conference search function as well as filtering options, view modes, translation services, and highlights summaries, providing you with a unique search experience.

Taking obesity as an example, select "obesity" under the indication category and click search to enter the Translational Medicine results list page. By clicking on the title, you can directly navigate to the original page.

By clicking the analysis button, you can observe that GLP-1R treatment for obesity has gained significant attention over the past three years, with preclinical research still ongoing in 2023. Additionally, there are emerging potential targets, such as GDF15, among others.

Click on the image below to go directly to the Translational Medicine search interface.
