Dual-Purpose Therapeutic Targets in Aging & Glioblastoma Multiforme
Geoffrey Leung and Dr. Doris Leung from Insilico Medicine Hong Kong Ltd. detail a research paper they co-authored that was published by Aging (Aging-US) in Volume 15, Issue 8, "Identification of dual-purpose therapeutic targets implicated in aging and glioblastoma multiforme using PandaOmics - an AI-enabled biological target discovery platform.”
DOI - https://doi.org/10.18632/aging.204678
Transcript
Hello everyone. Welcome to the Paper Decoding series. My name is Geoffrey and I’m the Application Scientist at Insilico Medicine. With me today is Dr. Doris Leung, the Senior Biologist from the Application Science team. Our current focus is on aging research.
Hi Doris. We published a GBM paper in the journal of Aging last week. Can you tell us more about it? Is there any connection between the GBM paper and the previous Aging paper?
The current research identified a dual purpose target for aging and glioblastoma. It is highly related to our previous paper. In our previous Aging paper, it identified the dual purpose target for aging and aging associated disease.
Building on this finding, our teams along with the high school students, further discover the dual purpose target for glioblastoma and both papers will demonstrate the power of PandaOmics to discover aging target and its impact on aging platform.
We are happy to see that the three high school students worked on the project, how their biological knowledge and research skills and PandaOmics helped them to do aging research.
PandaOmics is a user-friendly, AI driven target discovery platform that requires no prior knowledge of computational biology. The current papers serve an excellent example to demonstrate that even the high school student can use the PandaOmics to discover the local targets.
How can this discovery bring benefits to the current GBM treatment?
The importance of the treatment may depends on the age group. However, most of the treatments are developed without concealing the age of the patients, and they are tested on younger individuals. Therefore, it will be helpful if we can identify the recipe that we not only target aging, but also cancer.
So what is the next step?
Our next step is to validate this dual purpose target for the treatment of glioblastoma. This will involve in vitro and in vivo studies to investigate the effect of this dual purpose target on the tumor growth and the cancer progression. Besides, the anti-aging potential will also be evaluated in animal model. Our ultimate goal is to develop effective and safe therapeutic approach to improve the clinical outcome for glioblastoma patients.
Can we use this AI approach to discover more dual purpose targets for other diseases?
Yes, absolutely. Our approaches (are) not only used for this… for the glioblastoma… it can be applied to many different age-associated disease. For example, the metabolic disease, neurological disease, fibrotic disease, and inflammatory disease.
Thank you, Doris. We are excited to see more targets being discovered by PandaOmics.
