Gladstone NOW: The Campaign Join Us on the Journey✕
In recent years, genetically re-engineered immune cells—armed with molecular weaponry to recognize and destroy tumor cells—have changed the landscape of cancer treatment. Now, researchers from UC San Francisco (UCSF) and Gladstone Institutes have developed a new method for comparing massive numbers of these CAR-T cells, each with slightly different molecular features, to determine which is most effective and long-lasting against cancer.
In their study, published in Science Translational Medicine, the team used the approach—dubbed “CAR Pooling”—to study CAR-T cells with 40 different receptors. The screen, which can be expanded to test hundreds or thousands more receptor combinations in the future, has already revealed new and surprising receptors that make these therapeutic cells more powerful.
“CAR-T cells have been absolutely transformative for a lot of people with blood cancers,” says senior author Kole Roybal, PhD, an associate professor of microbiology and immunology at UCSF and a member of the Gladstone-UCSF Institute of Genomic Immunology. “This work is a stepping stone toward engineering these cells in even smarter ways so they work better, for longer, and in more cancer types.”
T cells are a type of white blood cell expressing receptors on their surface that recognize foreign material in the body. When a matching molecule or particle fits into the T cell receptor, the cell launches an immune response to ward off the invader. This kind of response can destroy not only viruses and bacteria, but cancer cells as well.
When a cancer patient is being treated with CAR-T cell therapy, clinicians collect T cells from the patient’s blood or from a healthy donor. Then, they alter these cells in the lab, adding DNA that coaxes the immune cells into producing special, cancer-recognizing chimeric antigen receptors (CARs) on their surface. The modified cells are grown and injected back into the patient. The new CARs help the T cells specifically attack cancer cells. A variety of CAR-T cells have been approved for use in blood cancers, including lymphomas, leukemias and multiple myeloma.
“This work is a stepping stone toward engineering these cells in even smarter ways so they work better, for longer, and in more cancer types.”
“Our ability to take T cells out of the body, add new genetic programs to them, and put them back into the body as a living programmable therapy has already made a huge impact on the treatment of hematological cancers,” says Daniel Goodman, PhD, a UCSF postdoctoral scholar and co-first author of the new study. “However, this is only the beginning of what engineered cells could be capable of if we understood more fully how to manipulate their signaling and functional properties.”
Researchers have struggled to get CAR-T cells working against solid tumors. Even for many patients with blood cancer, CAR-T cells work only temporarily or not at all.
One of the limiting factors in developing new CAR-T cell therapies is the high-throughput technology required to modify and test new receptors; across the immune system, hundreds of receptor pieces can fit together like Lego bricks into thousands of possible combinations.
Roybal, Goodman, and co-first author Camillia Azimi developed CAR Pooling to rapidly test the effectiveness of different CARs at once. The screen works by generating a DNA library containing the genetic codes for many immune receptors, simultaneously introducing them to millions of cells, and then having the cells compete—in test tubes—for their skills in surviving, growing and recognizing and destroying cancer.
“Our method makes the process of testing new receptor based-therapeutics much faster,” says Azimi, a UCSF graduate student at the time. “This not only allows the researchers to save time, but also to explore designs they wouldn't have been able to test individually.”
Among the 40 CARs tested in the new study, for instance, were not only classic T-cell receptors but receptors borrowed from other types of related immune cells. For example, a B-cell receptor named BAFF-R is the leading contender for making a T cell particularly effective against cancer.
“We would never have chosen to test BAFF-R if we weren’t utilizing CAR Pooling,” says Azimi.
When the CAR-T cell containing BAFF-R was tested in mice with multiple myeloma, the mice survived longer and had less cancer compared to mice that received standard CAR-T cells.
The research team is planning to expand the use of CAR Pooling to test even more receptors in re-engineered T cells. Eventually, Roybal said, the approach could be used to develop different varieties of CAR-T cells for different types of cancer; there’s likely no one-size-fits-all answer when it comes to diverse cancer types.
“We could certainly use CAR Pooling to rapidly find the best receptors for specific clinical settings,” he says. “One set of receptors may be more beneficial for glioblastoma but another most beneficial for myeloma.”
As the researchers screen more and more immune receptors, they hope to reveal underlying patterns in how the receptors dictate the activity of immune cells. Eventually, this could lead to even more synthetic receptors that can take on not only cancer, but other diseases.
“We hope to learn how to compose the fundamental pieces of these signaling domains and build the next generation of engineered cell therapies,” says Goodman.
Roybal’s lab is also working on understanding and improving other aspects of CAR-T cells, beyond their receptors, to boost the effectiveness of the therapy.
“There are a lot of ways you can modify these cells,” says Roybal. “This is just one piece of the puzzle.”
Julie Langelier
Associate Director, Communications
415.734.5000
Email
The paper “Pooled screening of CAR T cells identifies diverse immune signaling domains for next-generation immunotherapies” was published by Science Translational Medicine on November 9, 2022.
Additional authors on the study include Alexis Talbot, Vivasvan Vykunta, Brian Shy, Chun Jimmie Ye, Justin Eyquem, and Alex Marson of UCSF and the Gladstone-UCSF Institute of Genomic Immunology; and Kendall Kearns, Kiavash Garakania, Julie Garcia, Nisarg Patel, Byungjin Hwang, David Lee, Emily Park, and Jeffrey Bluestone of UCSF.
This work was supported by NIH grants DP2 CA239143, R01AR071522, R01AI136972, R01HG011239, and P30 13DK063720, the Parker Institute for Cancer Immunotherapy, and the UCSF Helen Diller Family Comprehensive Cancer Center, along with other institutes and philanthropy. The complete list of supporters can be found in the study.
Gladstone Institutes is an independent, nonprofit life science research organization that uses visionary science and technology to overcome disease. Established in 1979, it is located in the epicenter of biomedical and technological innovation, in the Mission Bay neighborhood of San Francisco. Gladstone has created a research model that disrupts how science is done, funds big ideas, and attracts the brightest minds.
The University of California, San Francisco (UCSF) is exclusively focused on the health sciences and is dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. UCSF Health, which serves as UCSF’s primary academic medical center, includes top-ranked specialty hospitals and other clinical programs, and has affiliations throughout the Bay Area. UCSF School of Medicine also has a regional campus in Fresno. Learn more at ucsf.edu or see our Fact Sheet.
Scientists at Gladstone and UCSF discover how one protein controls the behavior of immune cells, with potential applications for treating cancer and autoimmune conditions.
News Release Research (Publication) Autoimmune Diseases Cancer Genomic Immunology Krogan Lab Marson Lab CRISPR/Gene EditingThe featured scientists include global leaders in gene editing, systems biology, AI, and immunology.
Awards News Release Doudna Lab Krogan Lab Marson Lab Pollard Lab Ye LabA team of Gladstone scientists used a new video-based tool to pinpoint otherwise-undetectable signs of early disease.
News Release Research (Publication) Alzheimer’s Disease Dementia Palop Lab AI Disease Models