Deep Learning for CAR-T cell therapy optimisation

用于 CAR-T 细胞治疗优化的深度学习

• 批准号: MR/W003309/1
• 负责人: Jonathan Lees
• 金额: $ 18.89万
• 依托单位: Oxford Brookes University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FW003309%2F1
• 关键词: Deep; Learning; CAR; cell; therapy

Adoptive cell therapy is a treatment of patients using their own, modified immune cells. It involves harvesting T cells - the immune cells that normally recognise and eliminate pathogens - from the patients blood, reprogramming them to recognise cancer cells and re-introducing the newly modified cells back into the patient to destroy tumours. The modifying factor used to arm these T cells against cancer is called Chimeric Antigen Receptor or CAR, in short. Using the lock and key analogy, just as every lock can only be opened with the appropriate key, each type of cancer, with its unique antigens, can only be recognised by a specific engineered CAR.Currently, the NHS is providing CAR-T cell therapy against malignant B cells that express antigen called CD19 to children and young adults with relapsed or difficult- to-treat leukaemia and lymphoma. The treatment is particularly effective in patients who did not respond to chemotherapy, offering real hope to those who otherwise would have no other options. However, this CAR therapy can only treat a very specific type of cancer, leaving much room for improvement.The concerted efforts into development of specific CAR therapies against other cancers are hindered by the tedious process of target discovery and receptor optimisation. Coding.bio streamlined the process of building better receptors, making it faster, cheaper, and more diverse. This project will develop a deep learning method to select lead candidates from big datasets of these receptors, making candidates more likely to succeed in the clinicOur objective is to help bring this transformative therapy to a wider patient population.

免疫细胞疗法是一种使用患者自身的修饰免疫细胞的治疗方法。它涉及从患者血液中收获T细胞-通常识别和消除病原体的免疫细胞，重新编程它们以识别癌细胞，并将新修饰的细胞重新引入患者体内以摧毁肿瘤。用于武装这些T细胞对抗癌症的修饰因子被称为嵌合抗原受体或CAR。使用锁和钥匙的类比，就像每把锁只能用合适的钥匙打开一样，每种类型的癌症都有其独特的抗原，只能被特定的工程CAR识别。目前，NHS正在为患有复发或难以治疗的白血病和淋巴瘤的儿童和年轻人提供针对恶性B细胞的CAR-T细胞疗法，这些细胞表达称为CD 19的抗原。这种治疗方法对化疗无效的患者特别有效，为那些没有其他选择的患者提供了真实的希望。然而，这种CAR疗法只能治疗非常特定类型的癌症，还有很大的改进空间。针对其他癌症的特异性CAR疗法的开发受到靶点发现和受体优化的繁琐过程的阻碍。Coding.bio简化了构建更好受体的过程，使其更快，更便宜，更多样化。该项目将开发一种深度学习方法，从这些受体的大数据集中选择主要候选人，使候选人更有可能在临床上取得成功。