Sheffield Ex vivo Group, Division of Clinical Medicine, School of Medicine & Population Health, University of Sheffield, Sheffield, UK.
Directorate General of Health Services, Dhaka, Bangladesh.
Expert Rev Clin Immunol. 2024 Aug;20(8):821-838. doi: 10.1080/1744666X.2024.2336583. Epub 2024 Apr 3.
Immunotherapies have revolutionized cancer treatment, but often fail to produce desirable therapeutic outcomes in all patients. Due to the inter-patient heterogeneity and complexity of the tumor microenvironment, personalized treatment approaches are gaining demand. Researchers have long been using a range of in-vitro assays including 2D models, organoid co-cultures, and cancer-on-a-chip platforms for cancer drug screening. A comparative analysis of these assays with their suitability, high-throughput capacity, and clinical translatability is required for optimal translational use.
The review summarized in-vitro platforms with their comparative advantages and limitations including construction strategies, and translational potential for immuno-oncology drug efficacy assessment. We also discussed end-point analysis strategies so that researchers can contextualize their usefulness and optimally design experiments for personalized immunotherapy efficacy prediction.
Researchers developed several in-vitro platforms that can provide information on personalized immunotherapy efficacy from different angles. Image-based assays are undoubtedly more suitable to gather a wide range of information including cellular morphology and phenotypical behaviors but need significant improvement to overcome issues including background noise, sample preparation difficulty, and long duration of experiment. More studies and clinical trials are needed to resolve these issues and validate the assays before they can be used in real-life scenarios.
免疫疗法已经彻底改变了癌症治疗,但在所有患者中往往无法产生理想的治疗效果。由于患者之间的异质性和肿瘤微环境的复杂性,个性化的治疗方法越来越受到需求。研究人员长期以来一直在使用一系列体外检测,包括 2D 模型、类器官共培养物和癌症芯片平台,用于癌症药物筛选。为了实现最佳的转化应用,需要对这些检测与它们的适用性、高通量能力和临床转化性进行比较分析。
综述总结了体外平台及其比较优势和局限性,包括构建策略,以及免疫肿瘤学药物疗效评估的转化潜力。我们还讨论了终点分析策略,以便研究人员可以从不同角度了解其有用性,并为个性化免疫治疗疗效预测优化实验设计。
研究人员开发了几种体外平台,可以从不同角度提供个性化免疫治疗疗效的信息。基于图像的检测无疑更适合收集包括细胞形态和表型行为在内的广泛信息,但需要进行重大改进,以克服包括背景噪声、样本制备困难和实验时间长等问题。在这些检测能够在实际场景中使用之前,还需要进行更多的研究和临床试验来解决这些问题并验证检测。