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Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo
Published on: January 7, 2019
Insights into next-generation immunotherapy designs and tools: molecular mechanisms and therapeutic prospects
Hongzhuo Qin1,2,3, Zhaokai Zhou1,2,4, Run Shi1,2,5
1Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, People's Republic of China.
Abstract:
Immunotherapy has revolutionized the oncology treatment paradigm, and CAR-T cell therapy in particular represents a significant milestone in treating hematological malignancies. Nevertheless, tumor resistance due to target heterogeneity or mutation remains a Gordian knot for immunotherapy. This review elucidates molecular mechanisms and therapeutic potential of next-generation immunotherapeutic tools spanning genetically engineered immune cells, multi-specific antibodies, and cell engagers, emphasizing multi-targeting strategies to enhance personalized immunotherapy efficacy. Development of logic gate modulation-based circuits, adapter-mediated CARs, multi-specific antibodies, and cell engagers could minimize adverse effects while recognizing tumor signals. Ultimately, we highlight gene delivery, gene editing, and other technologies facilitating tailored immunotherapy, and discuss the promising prospects of artificial intelligence in gene-edited immune cells.
Insights
Next-generation immunotherapies, including genetically engineered cells and multi-specific antibodies, offer new ways to overcome tumor resistance. These advanced tools aim to improve personalized cancer treatment by targeting multiple signals and minimizing side effects.
Area of Science:
- Oncology
- Immunology
- Biotechnology
Background:
- Immunotherapy, particularly CAR-T cell therapy, has transformed cancer treatment for blood cancers.
- Tumor resistance, driven by target heterogeneity and mutations, remains a significant challenge for current immunotherapies.
- Next-generation immunotherapeutic tools are emerging to address these limitations.
Purpose of the Study:
- To review molecular mechanisms and therapeutic potential of advanced immunotherapeutic strategies.
- To emphasize multi-targeting approaches for enhancing personalized immunotherapy efficacy.
- To discuss enabling technologies and future prospects in cancer immunotherapy.
Main Methods:
- Elucidation of molecular mechanisms underlying tumor resistance.
- Review of genetically engineered immune cells, multi-specific antibodies, and cell engagers.
- Exploration of logic gate modulation, adapter-mediated CARs, and AI in immunotherapy.
Main Results:
- Next-generation tools like logic gate circuits and adapter-mediated CARs can minimize adverse effects.
- Multi-specific antibodies and cell engagers offer enhanced tumor signal recognition.
- Gene delivery, gene editing, and AI show promise for tailored immunotherapy.
Conclusions:
- Multi-targeting strategies are crucial for overcoming tumor resistance and improving personalized immunotherapy.
- Advanced technologies like gene editing and AI are key to developing next-generation cancer treatments.
- Future research should focus on integrating these tools for more effective and safer cancer therapies.
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