Patients with high-grade ovarian cancer and uterine serous cancer (USC) often respond well to surgery and chemotherapy. At first.
But these can be highly aggressive tumors that often spread into the space within the abdomen known as the peritoneal cavity. According to a recent study, one rare but aggressive type of uterine cancer is propelling an increase in deaths from the disease in the United States, particularly among Black women.
Moreover, resistance to chemotherapy often develops, and the disease recurs. This results in ovarian cancer causing more deaths than any other cancer of the female reproductive system.
For one possible treatment, clinical trials demonstrated the effectiveness of injecting a drug known as epothilone B (EB) into the abdominal cavity, targeting tumor cells that have grown resistant to standard chemotherapy medications. However, the drug’s high toxicity when delivered this way causes severe side effects, preventing further use.
Now, thanks in part to research begun more than a decade ago with funding from Women’s Health Research at Yale, our colleagues are closing in on a way to deploy effective cancer-fighting medication safely with the help of ultra-tiny non-toxic biodegradable objects known as nanoparticles. Developed by Dr. W. Mark Saltzman, the Goizueta Foundation Professor of Biomedical and Chemical Engineering, these nanoparticles have organic chemicals on their surface that allow them to stick to cells in the abdominal cavity so they are not cleared from the area before they can do their job.
“With bioadhesive nanoparticles, we can safely entrap a drug and deliver it so it slowly releases in a high concentration, directly to our target, over a long time,” Saltzman said. “By localizing the delivery of the drug, we are decreasing toxicity and increasing effectiveness.”
With data funded through WHRY’s grant, Drs. Saltzman and Alessandro Santin, professor of obstetrics, gynecology, and reproductive sciences, secured funding from the National Institutes of Health to demonstrate the safety and efficacy of this technique in a model system, publishing their results in 2016.