下一代肿瘤学:精确基因组学、免疫工程和肿瘤微环境调节交叉路口的综合治疗前沿。

IF 3.5 4区 医学 Q2 ONCOLOGY
Ahmad M Alamri, Abdullah A Assiri, Bushra Khan, Najeeb Ullah Khan
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引用次数: 0

摘要

肿瘤学领域正在经历一个范式转变,从传统的细胞毒性治疗过渡到一个综合的、智能驱动的框架,结合了精确基因组学、免疫工程和肿瘤微环境(TME)的调节。这篇综述探讨了癌症作为一个复杂的适应系统(CAS)是如何通过遗传、表观遗传和微环境的相互作用而进化的,需要动态的、多维的治疗策略。综述强调了单靶向治疗的局限性和协同方法的出现,包括人工智能引导的适应性给药、合成生物学增强的CAR-T细胞和肿瘤微环境(TME)的代谢重编程。分子制图、量子生物学、合成肿瘤学和暗基因组挖掘方面的突破正在拓展治疗领域。与此同时,免疫工程的创新——如下一代检查点调节剂、逻辑门控CAR-T细胞和新抗原疫苗——正在重新定义免疫肿瘤学。此外,以tme为目标的策略,包括基质重塑、缺氧调节和微生物组工程,有助于克服治疗耐药性。多组学分析、组合疗法和计算肿瘤学(如数字双胞胎)的融合使实时、个性化的干预成为可能。尽管取得了这些进展,但挑战依然存在——治疗耐药性、毒性、可及性和伦理问题——需要跨学科合作和公平创新。未来在于适应性、自主肿瘤学、整合人工智能、闭环疗法和模块化mRNA平台,以大规模提供精准医疗。这篇综述强调了一种统一的、基于系统的方法将癌症转化为可控制的疾病的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Next-generation oncology: integrative therapeutic frontiers at the crossroads of precision genomics, immuno-engineering, and tumor microenvironment modulation.

The landscape of oncology is undergoing a paradigm shift, transitioning from conventional cytotoxic therapies to an integrative, intelligence-driven framework that combines precision genomics, immunoengineering, and modulation of the tumor microenvironment (TME). This review explores how cancer, as a complex adaptive system (CAS), evolves through genetic, epigenetic, and microenvironmental interactions, necessitating dynamic, multi-dimensional therapeutic strategies. Review highlights the limitations of mono-targeted therapies and the emergence of synergistic approaches, including AI-guided adaptive dosing, synthetic biology-enhanced CAR-T cells, and metabolic reprogramming of the tumor microenvironment (TME). Breakthroughs in molecular cartography, quantum biology, synthetic oncology, and dark genome mining are expanding therapeutic frontiers. Meanwhile, immuno-engineering innovations-such as next-generation checkpoint modulators, logic-gated CAR-T cells, and neoantigen vaccines-are redefining immune-oncology. Additionally, TME-targeted strategies, including stromal remodeling, hypoxia modulation, and microbiome engineering, are helping to overcome treatment resistance. The convergence of multi-omics profiling, combinatorial therapeutics, and computational oncology (e.g., digital twins) is enabling real-time, personalized interventions. Despite these advances, challenges persist-therapeutic resistance, toxicity, accessibility, and ethical concerns-demanding interdisciplinary collaboration and equitable innovation. The future lies in adaptive, autonomous oncology, integrating AI, closed-loop therapies, and modular mRNA platforms to deliver precision medicine at scale. This review underscores the imperative for a unified, systems-based approach to transform cancer into a manageable condition.

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来源期刊
Medical Oncology
Medical Oncology 医学-肿瘤学
CiteScore
4.20
自引率
2.90%
发文量
259
审稿时长
1.4 months
期刊介绍: Medical Oncology (MO) communicates the results of clinical and experimental research in oncology and hematology, particularly experimental therapeutics within the fields of immunotherapy and chemotherapy. It also provides state-of-the-art reviews on clinical and experimental therapies. Topics covered include immunobiology, pathogenesis, and treatment of malignant tumors.
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