用于免疫肿瘤药物疗效评估和个性化癌症治疗筛选的体外检测:范围与挑战。

IF 3.9 3区 医学 Q2 IMMUNOLOGY Expert Review of Clinical Immunology Pub Date : 2024-08-01 Epub Date: 2024-04-03 DOI:10.1080/1744666X.2024.2336583
Md Marufur Rahman, Greg Wells, Juha K Rantala, Thomas Helleday, Munitta Muthana, Sarah J Danson
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引用次数: 0

摘要

引言免疫疗法为癌症治疗带来了革命性的变化,但往往无法为所有患者带来理想的治疗效果。由于患者间的异质性和肿瘤微环境的复杂性,个性化治疗方法的需求越来越大。长期以来,研究人员一直在使用一系列体外检测方法,包括二维模型、类器官共培养和癌芯片平台来筛选抗癌药物。需要对这些检测方法的适用性、高通量能力和临床转化能力进行比较分析,以优化转化应用:综述总结了体外平台的比较优势和局限性,包括构建策略以及免疫肿瘤药物疗效评估的转化潜力。我们还讨论了终点分析策略,以便研究人员能够了解它们的用处,并为个性化免疫疗法疗效预测优化设计实验:研究人员开发了几种体外平台,可以从不同角度提供有关个体化免疫疗法疗效的信息。基于图像的检测方法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,但还需要进行重大改进,以克服背景噪声、样品制备困难和实验持续时间长等问题。需要进行更多的研究和临床试验来解决这些问题,并对检测方法进行验证,然后才能将其用于实际生活中。
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In-vitro assays for immuno-oncology drug efficacy assessment and screening for personalized cancer therapy: scopes and challenges.

Introduction: 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.

Areas covered: 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.

Expert opinion: 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.

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来源期刊
CiteScore
7.60
自引率
2.30%
发文量
221
审稿时长
6-12 weeks
期刊介绍: Expert Review of Clinical Immunology (ISSN 1744-666X) provides expert analysis and commentary regarding the performance of new therapeutic and diagnostic modalities in clinical immunology. Members of the International Editorial Advisory Panel of Expert Review of Clinical Immunology are the forefront of their area of expertise. This panel works with our dedicated editorial team to identify the most important and topical review themes and the corresponding expert(s) most appropriate to provide commentary and analysis. All articles are subject to rigorous peer-review, and the finished reviews provide an essential contribution to decision-making in clinical immunology. Articles focus on the following key areas: • Therapeutic overviews of specific immunologic disorders highlighting optimal therapy and prospects for new medicines • Performance and benefits of newly approved therapeutic agents • New diagnostic approaches • Screening and patient stratification • Pharmacoeconomic studies • New therapeutic indications for existing therapies • Adverse effects, occurrence and reduction • Prospects for medicines in late-stage trials approaching regulatory approval • Novel treatment strategies • Epidemiological studies • Commentary and comparison of treatment guidelines Topics include infection and immunity, inflammation, host defense mechanisms, congenital and acquired immunodeficiencies, anaphylaxis and allergy, systemic immune diseases, organ-specific inflammatory diseases, transplantation immunology, endocrinology and diabetes, cancer immunology, neuroimmunology and hematological diseases.
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