Allogeneic CAR-T
“An Innovative Cancer Immunotherapy”
Universal CAR-T represents a new generation of cell therapy designed to overcome the limitations of traditional CAR-T approaches, offering cancer patients broader and more accessible treatment options.
We are at the forefront of allogeneic CAR-T research, supported by a professional R&D team and advanced platforms. Encouraging early results have been achieved in both safety and efficacy. We will continue to increase investment in R&D, optimize product performance, and advance the broad clinical application of universal CAR-T therapies in oncology.
Technology Principles
Gene Editing: Using CRISPR/Cas9 and other advanced gene-editing tools, donor T cells are engineered to knockout genes associated with immune rejection while inserting CARs that enable precise recognition of tumor antigens.
Allogeneic Source: Healthy donor T cells are expanded and banked as ready-to-use “off-the-shelf” CAR-T products, enabling rapid treatment without the need for patient-specific cell collection and processing.
High Accessibility: Ready-made products shorten treatment timelines, especially critical for patients with rapidly progressing disease.
Reduced Cost: Large-scale production lowers manufacturing costs, making advanced therapies more affordable.
Quality & Consistency: Derived from healthy donors under strict GMP controls, ensuring stable quality and safety of the product.
Advantages
Clinical Applications
Hematologic Malignancies: demonstrated significant efficacy in leukemia and lymphoma, with clinical trials showing complete or partial remission in some patients.
Solid Tumors Exploration: Researchers are ongoing to optimize CAR design and antigen selection for solid tumors, with preclinical data showing anti-tumor activity.
Our allogeneic CAR-T project has achieved promising early results in terms of both safety and efficacy. Looking forward, we will continue to increase R&D investment and optimize product performance to promote the application of universal CAR-T cell therapy.