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Immuno-oncology insights最新文献

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New tools for spatial biology transcriptomics & proteomics in immuno-oncology 免疫肿瘤学中空间生物学转录组学和蛋白质组学的新工具
Pub Date : 2023-04-19 DOI: 10.18609/ioi.2023.005
Mario Flores
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引用次数: 0
Addressing the complexity of the TME with organoids 用类器官解决TME的复杂性
Pub Date : 2023-04-18 DOI: 10.18609/ioi.2023.015
E. De Braekeleer
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引用次数: 0
Assessing efficacy & MoA of mono & combo immunotherapies in preclinical humanized models 评估单一和联合免疫疗法在临床前人源化模型中的疗效和MoA
Pub Date : 2023-04-18 DOI: 10.18609/ioi.2023.003
K. Thiam, A. Surya, E. H. van der Horst
The breakthrough of immune checkpoint-targeting therapies has unveiled new hopes for cancer therapy. However, subsets of patients who do not see robust responses to immunotherapy remain. To address this hurdle, combination therapies – coupling agents with distinct mechanisms of action (MoA) – appear promising to enhance treatment success against various cancers. However, a major challenge in the development of novel combination therapies is the unmet need for preclinical models to predict efficacy and tolerability. Immunocompetent models featuring humanized immune checkpoints enable the assessment of human-targeted therapies in well-established syngeneic tumor models, allowing investigation with fully functional crosstalk among syngeneic tumor, immune, and stromal cells. While these models enable profiling evaluation of agents directed toward human targets, results still reflect mouse biology. Alternatively, immunodeficient mice reconstituted with a human immune system offer the possibility to investigate the efficacy and MoA of agents directed against human targets, with the advantage of exploring human biology using human tumor cell lines in a mouse model. This article discusses examples of applicability and complementarity of syngeneic and BRGSF– human immune system (HIS) models to assess the efficacy and MoA of immunotherapies, either in combination with inhibitory immune checkpoints or as monotherapy.
免疫检查点靶向疗法的突破为癌症治疗带来了新的希望。然而,仍有部分患者对免疫疗法反应不佳。为了解决这一障碍,联合疗法——具有不同作用机制的偶联剂(MoA)——似乎有望提高对各种癌症的治疗成功率。然而,开发新型联合疗法的一个主要挑战是对预测疗效和耐受性的临床前模型的需求尚未得到满足。具有人源化免疫检查点的免疫功能模型能够在成熟的同基因肿瘤模型中评估人类靶向治疗,从而能够研究同基因肿瘤、免疫细胞和基质细胞之间的全功能串扰。虽然这些模型能够对针对人类目标的制剂进行分析评估,但结果仍然反映了小鼠的生物学。或者,用人类免疫系统重建的免疫缺陷小鼠提供了研究针对人类靶点的药物的功效和MoA的可能性,其优点是在小鼠模型中使用人类肿瘤细胞系来探索人类生物学。本文讨论了同基因和BRGSF-人类免疫系统(HIS)模型的适用性和互补性的例子,以评估免疫疗法的疗效和MoA,无论是与抑制性免疫检查点结合还是作为单一疗法。
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引用次数: 0
Considering the nonclinical toolkit in I–O: assessing safety, understanding the TME & working towards an animal-free future 考虑I/O中的非临床工具包:评估安全性,了解TME并努力实现无动物的未来
Pub Date : 2023-04-18 DOI: 10.18609/ioi.2023.011
Kimberly Homan, Aaron M. Fullerton
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引用次数: 0
Looking for the bigger picture: current challenges & progress in preclinical tools for I–O 放眼全局:I-O临床前工具的当前挑战和进展
Pub Date : 2023-04-18 DOI: 10.18609/ioi.2023.001
P. Candarlioglu
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引用次数: 0
AI-driven image analysis for cancer cell biology 用于癌细胞生物学的人工智能驱动图像分析
Pub Date : 2023-04-15 DOI: 10.18609/ioi.2023.007
Gillian F. Lovell
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引用次数: 0
Advancing best-in-class allogeneic CAR-T therapies 推进同类最佳异基因CAR-T疗法
Pub Date : 2023-04-15 DOI: 10.18609/ioi.2023.006
B. Madison
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引用次数: 0
Spotlight on modality & platform development trends 聚焦模式与平台发展趋势
Pub Date : 2023-04-15 DOI: 10.18609/ioi.2023.017
D. DiLillo
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引用次数: 0
Discovering cellular immunotherapy approaches in solid tumors & beyond 发现实体瘤中的细胞免疫疗法及其应用
Pub Date : 2023-04-15 DOI: 10.18609/ioi.2023.016
Steven M Shamah
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引用次数: 0
Creating the next generation of antibodies for I–O 创造下一代I/O抗体
Pub Date : 2023-04-15 DOI: 10.18609/ioi.2023.009
R. Dahan
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引用次数: 0
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Immuno-oncology insights
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