Researchers Use Liposomes to Effectively Deliver Powerful Anti-Cancer Compound

Researchers at the University of California, San Diego School of Medicine have discovered a way to effectively deliver staurosporine (STS), a powerful anti-cancer compound that has vexed researchers for more than 30 years due to its instability in the blood and toxic nature in both healthy and cancerous cells.

For the first time, the new method safely delivered STS to mouse tumors, suppressing them with no apparent side effects. The results were published online, Oct. 20, in the International Journal of Nanomedicine.

"By itself, staurosporine shows potent activity against a number of cancer cell lines, including chemotherapy-resistant tumors. However, it also harms normal tissue," said senior author Dr. Santosh Kesari, director of neuro-oncology at UC San Diego Moores Cancer Center. "With this study, we have been able to overcome the pharmacokinetic barriers to delivering staurosporine to tumors with the use of liposomes."

STS was originally isolated from the bacterium Streptomyces staurosporeus in 1977. The compound prompts a wide variety of cancer cell types to self-destruct, a process called apoptosis or programmed cell death. In its free form, STS is quickly metabolized and harmful to healthy cells. By trapping STS in tiny spheres called liposomes, Moores Cancer Center researchers have been able to effectively deliver the compound, past healthy tissue, to the tumor, with potent results.

Liposomes are microscopic bubbles made from the same molecules as cell membranes. Researchers use these hollow spheres to deliver therapeutic agents. Anti-cancer drugs can be loaded inside, while disguising agents coat the external membrane surface to hide the cancer-killer from the immune system.

"Staurosporine is able to drive virtually any mammal cell into apoptosis. It is able to uniquely interfere with several cell signaling pathways, even in cancer cell lines that defy frontline chemotherapy agents," said Milan Makale, a project scientist at UC San Diego Moores Cancer Center. "In the case of treatment-resistant brain, colon or pancreatic cancers, the potency of staurosporine stacks the odds in our favor of improving current treatments and outcomes. With an appropriately engineered liposomal delivery system, we can finally keep the drug in the blood longer, get it into the tumor better, and to a significant degree, spare healthy tissue."

In addition to encapsulating STS in a liposomal delivery system, the researchers developed a technique to increase the efficiency of drug-loading to more than 70 percent, the highest reported for a STS compound.

Drug-loading is the ratio of drug encapsulated by the liposome to the total amount of drug introduced into solution containing liposomes. The boosted loading was achieved by manipulating the pH environment of the cells with a proprietary method developed at Moores Cancer Center to force more STS into the liposomes. This platform technology is currently in the process of being licensed to a biotech company to develop it further for human use.

The effects of the delivery approach were validated with the use of fluorescence to track the STS penetration. The absence of weight loss in the mice confirmed the reduced toxicity.

Contributors to this paper included Rajesh Mukthavaram, Pengfei Jiang, Rohit Saklecha, Dmitri Simberg, Ila Sri Bharati, Natsuko Nomura, Ying Chao, Sandra Pastorino, Sandeep C. Pingle, Valentina Fogal, and Wolf Wrasidlo all at UC San Diego Health Sciences.

This work was supported in part by NIH grants (NIH 3P3#0CA23100-25S8) and by the Tuttleman Family Foundation.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.