Mathematical Study Offers Possible Fix to Melanoma Therapy Mystery

A mathematical study published in the journal Mathematical Business may have just offered a possible solution to a long-standing mystery in melanoma treatment. This is a skin cancer that starts in melanocytes, the cells responsible for determining skin color, and it typically occurs due to exposure to ultraviolet (UV) light rays from the sun and tanning beds.

Although the condition is very treatable when discovered early, one mystery regarding melanoma therapy has stumped researchers for years. Studies have indicated that periodically halting the delivery of specific targeted drugs can restrain drug-resistant melanoma cells.

However, experiments with intermittent dosing have shown that, conversely, continuously treating melanoma generates better results. The recently published mathematical study has potentially solved this mystery by devising a strategy that involves starting with intense melanoma treatment before steadily reducing dosage, and finally stopping the treatment.

This strategy could help physicians address the drug resistance that has made targeted melanoma therapies ineffective for years. These therapies may be very effective at eliminating tumors with certain mutations, but the eventual emergence of treatment-resistant cells makes the treatment less effective over time and leads to disease progression.

Researchers used mathematics to try and find a treatment schedule that could enable successful tumor suppression and reduce the side effects associated with cancer treatment.

University of Texas at Arlington associate professor of mathematics Souvik Roy says that although oncology treatments traditionally follow fixed dosing schedules, past studies on colon and esophageal cancer conducted in his lab found that maintaining treatment with continuous adjustments to dosing was more effective at reducing therapy toxicity and controlling melanoma tumors.

He notes that cutting down on drug toxicity was particularly beneficial for patients and their families, as it would cut their out-of-pocket medical costs and lower overhead expenses in hospitals.

The intermittent therapy suggested by the recent mathematical study is based on the idea that drug-resistant melanoma tumors can develop a dependency on the targeted drugs. Consequently, the cells become less effective at propagating the cancer once they are deprived of the treatment.

Using a mathematical branch called optimal control theory, the researchers found that the most effective melanoma treatment involved a dosing pattern that started with full-dose drugs and tapered off to an intermittent dose before stopping treatment permanently.

According to the researchers, the idea is to aggressively hit the drug-resistant cells as early as possible, before slowing down treatment to prevent more drug-resistant cells from developing. This therapy design adapts to tumors and their neighboring cells as they evolve to ensure melanoma drugs are effective at every stage of treatment.

It would be interesting to hear what firms like Calidi Biotherapeutics Inc. (NYSE American: CLDI) think about using the approach suggested by this mathematical model in the way cancer immunotherapy is delivered.

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