LSD1, a component of the
CoREST complex, plays a role in
cancer cell proliferation and survival by interacting with HDAC within the complex. The combined targeting of LSD1 and HDAC has been found to be more effective in combating
glioblastoma,
AML, and
breast cancer, suggesting that dual inhibitors could offer a strategic advantage in cancer treatment without increasing systemic toxicity from multiple drugs.
A series of molecules with either LSD1 or dual LSD1-HDAC activity were developed using computational chemistry. The in vitro potency of these compounds against LSD1 was evaluated using a TR-FRET assay, and their HDAC activity was measured with a fluorimetric assay. Biomarkers for LSD1 and HDAC inhibition were assessed through Western blotting and RT qPCR, while cell proliferation was gauged by an Alamar blue cytotoxicity assay.
One of the compounds, JBI-097, showed exceptional selectivity and potency as a dual inhibitor, with an IC50 of 0.007μM for LSD1 and IC50 values of 0.06μM and 0.1μM for
HDAC6 and
HDAC8, respectively. JBI-097 demonstrated robust antiproliferative effects on
leukemia and
multiple myeloma cell lines, outperforming both LSD1 and HDAC6 inhibitors when used individually. In vivo and cell-based target engagement studies indicated an increase in biomarkers such as
CD11b,
CD86,
GFI1b, and
tubulin acetylation levels.
JBI-097 was more effective in inhibiting tumor growth in a HEL92.1.7 xenograft model when administered orally compared to the intraperitoneal administration of an HDAC inhibitor. Furthermore, in a MM.1S tumor model, JBI-097 showed a stronger inhibitory effect on tumor growth than single-agent treatments with LSD1 or HDAC6 inhibitors. The combination of JBI-097 with
topotecan led to the complete inhibition of tumor growth in the MM.1S xenograft model.
The findings indicate that it is viable to design dual LSD1-HDAC6/8 inhibitors that maintain individual activity and significantly suppress cell proliferation, presenting these inhibitors as potential powerful therapeutic agents for cancer treatment. Ongoing research is focused on understanding the underlying mechanisms to identify the most effective compounds.
The research was presented by Sivanandhan Dhanalakshmi, Sridharan Rajagopal, and colleagues at the American Association for Cancer Research Annual Meeting in 2018.
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.
