Combo immunotherapy produces distinct waves of cancer-fighting T cells
Researchers from Penn’s Abramson Cancer Center have found that a novel tool that tracks immune health over time has revealed new insights on immune cell activation.
A new tool for monitoring immune health patterns over time has revealed how a pair of checkpoint inhibitor therapies works together to recruit new cancer-fighting T cells with every infusion. Findings from the use of the new tool, developed by researchers at the Perelman School of Medicine and Penn Medicine’s Abramson Cancer Center (ACC), are published in Cancer Cell. The study challenges fundamental assumptions about how a common immunotherapy drug combination activates different types of T cells to defeat cancer and could help researchers more precisely measure immune response in future clinical trials.
Immune checkpoint inhibitors work by unleashing T cells to find and kill cancer cells. It was thought that this type of combination immunotherapy works by equipping an army of T cells to recognize and fight cancer throughout the course of treatment. In a sense, the idea was that if this group of T cells stayed strong for long enough, they would conquer cancer, but if they became too depleted, they would lose the battle. The study, which analyzed data from 36 patients treated with immunotherapy for advanced melanoma, found that the combination therapy produces waves of new T cells—known as a clonal response—with each dose, rather than continually strengthening the same pool of T cells.
“We found that after every infusion, you have a new immune response, with a new group of T cells coming in to fight the cancer,” says senior author Alexander Huang, an assistant professor of hematology-oncology and a research investigator with the Tara Miller Melanoma Center at the ACC. “Think about these T cells like an army: For many cancer patients, even when they have tumors growing, experienced T cell fighters are trying to slow down the advance of the enemy cancer cells. We call them ‘exhausted T cells’ because they’ve been fighting so long, but they’re elite because they’re able to survive in a hostile environment and know how to recognize and fight the cancer cells.”
To make these discoveries, the team developed a new algorithm called Cycloneto track immune response and patterns over time by following the unique receptors from individual T cells. Looking at blood samples from the same patients, taken during different points throughout their treatment, the researchers were able to see which T cells moved, remained, or disappeared over each patients’ nine-week course of treatment.
This approach also allows researchers to evaluate the magnitude of response, including how many and what type of immune cells are being activated over time as patients go through treatment. Comparatively, other current single-cell methods of studying immune response provide more of a narrow “snapshot” in time.
The research team is planning to apply Cyclone in upcoming clinical trials for new cancer immunotherapy approaches, including neoadjuvant studies where T cells can be tracked in both blood and tumor samples, and new immunotherapy combinations, such as drugs targeting PD-1 and LAG-3, a new type of checkpoint inhibitor therapy.
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