Beyond the Generic Tumor: Engineering Patient-Specific Immune Ecosystems for Cancer.

IF 5.6
Samira Anvari, Jalal Naghinezhad, Reza Farokhi, Mahshid Akhavan Rahnama, Saghar Hoseinzadeh, Mohsen Nikbakht, Mohammad Ahmadvand
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引用次数: 0

Abstract

Cancer immunotherapy has transformed the treatment landscape of malignancies; however, durable clinical responses remain limited by interpatient heterogeneity, tumor evolution, antigen loss, and variability in immune recognition. Advances in genomic sequencing, neoantigen discovery, immunopeptidomics, mRNA-based therapeutics, and cellular engineering have expanded opportunities for developing individualized immunotherapeutic strategies based on patient-specific tumor and immune characteristics. This review examines the state of personalized cancer immunotherapy, with emphasis on individualized neoantigen-specific therapies (iNeST), neoantigen vaccines, mRNA-based antigen delivery platforms, engineered T-cell approaches, and computational methods for antigen prioritization and immune-response prediction. We summarize the biological rationale, preclinical and clinical evidence, and limitations of these approaches, while considering their translational potential and clinical feasibility. We examine the relationships among tumor mutational landscapes, neoantigen immunogenicity, antigen processing and presentation, HLA restriction, immune-cell engineering, and computational immunology. We further assess key barriers to clinical implementation, including limitations in neoantigen prediction and validation, intratumoral heterogeneity, antigen evolution and loss, manufacturing complexity, scalability, regulatory requirements, and the need for prospective clinical validation. Overall, current evidence supports personalized immunotherapy as a promising approach for improving the precision of cancer treatment, but its clinical application remains constrained by biological, technical, manufacturing, regulatory, and clinical challenges. Future progress will require more accurate and experimentally validated neoantigen identification, improved computational and immunologic modeling, robust manufacturing and quality-control processes, and prospective clinical studies demonstrating safety, feasibility, and therapeutic benefit. This review evaluates the current evidence, identifies knowledge gaps, and outlines priorities for the responsible clinical development of individualized cancer immunotherapy.

超越一般肿瘤:癌症患者特异性免疫系统工程。
癌症免疫疗法已经改变了恶性肿瘤的治疗格局;然而,持久的临床反应仍然受到患者间异质性、肿瘤演变、抗原丢失和免疫识别变异性的限制。基因组测序、新抗原发现、免疫肽组学、基于mrna的治疗和细胞工程等方面的进展为开发基于患者特异性肿瘤和免疫特征的个体化免疫治疗策略提供了机会。本文综述了个体化癌症免疫治疗的现状,重点是个体化新抗原特异性治疗(iNeST)、新抗原疫苗、基于mrna的抗原递送平台、工程化t细胞方法以及抗原优先排序和免疫反应预测的计算方法。我们总结了这些方法的生物学原理、临床前和临床证据以及局限性,同时考虑了它们的转化潜力和临床可行性。我们研究了肿瘤突变景观、新抗原免疫原性、抗原加工和呈递、HLA限制、免疫细胞工程和计算免疫学之间的关系。我们进一步评估了临床实施的关键障碍,包括新抗原预测和验证的局限性、肿瘤内异质性、抗原进化和丢失、制造复杂性、可扩展性、监管要求和前瞻性临床验证的需要。总的来说,目前的证据支持个性化免疫疗法作为一种有希望的提高癌症治疗精度的方法,但其临床应用仍然受到生物学、技术、制造、监管和临床挑战的限制。未来的进展将需要更准确和实验验证的新抗原鉴定,改进的计算和免疫建模,稳健的制造和质量控制过程,以及证明安全性,可行性和治疗益处的前瞻性临床研究。本综述评估了目前的证据,确定了知识差距,并概述了个体化癌症免疫治疗的负责任临床开发的优先事项。
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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