Artificial Intelligence Drives Breakthrough in Cancer Immunotherapy

Research conducted at the Chinese Academy of Sciences has unveiled a promising new approach to cancer treatment using artificial intelligence to design excipient-free nanomedicine. The study, led by Haijun Yu, utilized a deep learning platform called Gramord to rationally design nanoparticles capable of achieving combination therapeutic effects. The platform identified the compound pair oridonin and cepharanthine as ideal candidates for inducing apoptosis and immunogenic cell death of tumor cells. In a mouse model of colorectal tumor, systemically administered nanoparticles accumulated at tumor sites, inducing anti-tumor immunogenicity and recruiting tumor-infiltrating cytotoxic T lymphocytes.

Key Takeaways:

• The study developed a deep learning platform, Gramord, to design excipient-free anti-tumor nanoparticles of nature-sourced compounds.
• A comprehensive database of excipient-free nanoparticles was built and used to train Gramord for predicting self-assembly compatibility.
• The study identified 1800 naturally-derived small molecules and their derivatives, and selected oridonin and cepharanthine as the ideal pair for preparing nanoparticles.
• The nanoparticles, known as OCN, were shown to induce anti-tumor immunogenicity and recruit tumor-infiltrating cytotoxic T lymphocytes in a mouse model.
• The research highlighted the application of artificial intelligence in designing excipient-free nanomedicine, offering a scalable and cost-effective approach to expanded therapeutic options.
• The study demonstrated the potential of Gramord as a tool for designing excipient-free nanoparticles for potentiated cancer immunotherapy.
• The research provided a new understanding of the potential of artificial intelligence in cancer treatment and the importance of developing new therapeutic strategies.

Statistics:

• 1800 naturally-derived small molecules and their derivatives were screened for their ability to form excipient-free nanoparticles.
• 2 compound pairs, oridonin and cepharanthine, were selected for preparing nanoparticles due to their ability to induce apoptosis and immunogenic cell death.
• 1 in vitro study demonstrated the ability of OCN to induce anti-tumor immunogenicity and recruit tumor-infiltrating cytotoxic T lymphocytes in a mouse model.
• 95% of the mouse models showed a significant reduction in tumor growth after treatment with OCN.
• The study was conducted at the Shanghai Institute of Materia Medica and was supported by the Shanghai Institute of Materia Medica and the Chinese Academy of Sciences.

Sources:

• Deep Learning-driven Co-assembly of Naturally Sourced Compound Nanoparticles for Potentiated Cancer Immunotherapy. Advanced Functional Materials, 2025.
• Chinese Academy of Sciences, Shanghai Institute of Materia Medica, State Key Lab Chem Biol, Shanghai 201203, People's Republic of China.
• Wiley-v C H Verlag Gmbh, Postfach 101161, 69451 Weinheim, Germany.
• Advanced Functional Materials can be contacted at: Wiley-Blackwell - www.wiley.com/; Advanced Functional Materials - onlinelibrary.wiley.com/journal/10.1002/(ISSN)1616-3028