SITC perspective: leveraging patient enrichment biomarkers to accelerate early phase IO drug development.

IF 10.3 1区 医学 Q1 IMMUNOLOGY
Leisha A Emens, Christine Moussion, Patrick Hwu, James L Gulley, Pamela S Ohashi, Carlo B Bifulco, David Feltquate
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引用次数: 0

Abstract

Cancer immunotherapy (IO) enables patients to live well with cancer for many years, or even be cured. Several investigational IO agents recently failed in early-phase or late-phase trials, leading some to doubt the future of IO. Patient heterogeneity (eg, tumor characteristics, treatment history) increases the risk that a clinically active IO drug might be discarded. Enriching enrollment for patients with biomarkers hypothesized to reflect a higher probability of clinical benefit across clinical development should mitigate this risk. The Society for Immunotherapy of Cancer convened diverse IO stakeholders to discuss leveraging biomarkers at the earliest stages of drug development to accelerate the delivery of innovative IO agents to patients. This group developed a framework based on a biomarker-based enrichment strategy in early trials that evolves into the development of more precise predictive biomarkers in late phase trials. This framework integrates mechanistic insights related to the drug and its impact on the tumor microenvironment derived from preclinical data, digital pathology, exploratory multiomics, and artificial intelligence that are continuously refined through both adaptive and randomized clinical trials. Biomarker-based enrichment in early clinical development should de-risk late-stage trials, ultimately expanding the portfolio of innovative IO drugs available to patients.

SITC观点:利用患者富集生物标志物加速早期IO药物开发。
癌症免疫疗法(Cancer immunotherapy, IO)能使患者与癌症共存多年,甚至被治愈。最近,一些研究性IO药物在早期或后期试验中失败,导致一些人怀疑IO的未来。患者的异质性(如肿瘤特征、治疗史)增加了临床有效的IO药物被丢弃的风险。在临床开发过程中,假设生物标志物反映更高的临床获益可能性,从而增加患者入组人数,应该可以减轻这种风险。癌症免疫治疗学会召集了不同的IO利益相关者,讨论在药物开发的早期阶段利用生物标志物,以加速向患者提供创新的IO药物。该小组在早期试验中开发了一个基于生物标志物富集策略的框架,该框架在后期试验中演变为更精确的预测性生物标志物的开发。该框架整合了与药物及其对肿瘤微环境影响相关的机制见解,这些见解来自临床前数据、数字病理学、探索性多组学和人工智能,这些数据通过适应性和随机临床试验不断完善。早期临床开发中基于生物标志物的富集应降低后期试验的风险,最终扩大患者可获得的创新IO药物组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal for Immunotherapy of Cancer
Journal for Immunotherapy of Cancer Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
17.70
自引率
4.60%
发文量
522
审稿时长
18 weeks
期刊介绍: The Journal for ImmunoTherapy of Cancer (JITC) is a peer-reviewed publication that promotes scientific exchange and deepens knowledge in the constantly evolving fields of tumor immunology and cancer immunotherapy. With an open access format, JITC encourages widespread access to its findings. The journal covers a wide range of topics, spanning from basic science to translational and clinical research. Key areas of interest include tumor-host interactions, the intricate tumor microenvironment, animal models, the identification of predictive and prognostic immune biomarkers, groundbreaking pharmaceutical and cellular therapies, innovative vaccines, combination immune-based treatments, and the study of immune-related toxicity.
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