推进纳米颗粒在癌症检测和精确治疗方面的潜力。

IF 2.8 4区 医学 Q2 ONCOLOGY
Muhammad Naeem Kiani, Hamza Khaliq, Muhammad Abubakar, Merium Rafique, Fazliddin Jalilov, Ghulam Abbas Ashraf, Amel Ayari-Akkari, Ali Akremi
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引用次数: 0

摘要

癌症是一个巨大的挑战,其高死亡率具有异质性、复杂性和对现有治疗的耐药性,因此需要创造性的方法来改善早期发现和精准药物。纳米粒子(NPs)具有独特的物理化学特性,包括高表面积体积比、可调节的尺寸和形状以及多功能性。这篇综述论文批判性地探讨了各种NPs的最新进展,如石墨烯基材料(用于克服癌症耐药性和诊断和治疗应用),金属有机框架(精确和靶向释放药物,例如谷胱甘肽敏感二硫键用于细胞内递送),碳点,罗丹明6G,聚合物基纳米制剂(CAP/ZnO NPs用于肺癌治疗),金NPs(作为放射增敏作用),纳米载体系统(包括表观遗传控制系统)、适体、基于介孔聚多巴胺的纳米药物、聚合NPs、ph响应聚合纳米结构(特别是在酸性肿瘤环境中)、多功能NPs和靶向递送到癌细胞的碳包覆铁氧体纳米点。我们特别研究了它们在几种有效载荷(如小分子、蛋白质和核酸)的精确药物递送方面的双重能力,以及它们在恶性细胞中实时监测治疗反应的能力。此外,这篇综述强调了人工智能和机器学习算法与这种基于nps的架构的集成如何提高诊断精度,促进个性化癌症治疗方法,克服障碍,包括生物利用度和多药耐药性。通过评估纳米技术在精确癌症治疗中的作用,这篇综述文章强调了这种智能纳米药物在影响癌症发展方面的开创性能力,从而提高了患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing the potential of nanoparticles for cancer detection and precision therapeutics.

Cancer poses a significant challenge with high death rate marked by heterogeneity, complexity, and resistance to available treatments, hence requiring creative approaches to improve early detection and precision medicines. Nanoparticles (NPs) exhibit distinctive physicochemical characteristics, including a high surface area-to-volume ratio, adjustable size and shape, and multifunctionality. This review paper critically explored the recent advancements in various NPs, such as graphene-based materials (to overcome cancer resistance and for diagnostic and therapeutics applications), metal organic frameworks (precised and targeted release of drug, e.g., glutathione-sensitive disulfide bonds for intracellular delivery), carbon dots, rhodamine 6G, polymer-based nanoformulation (CAP/ZnO NPs for lung cancer therapy), gold NPs (as radiosensitizing action), nanocarrier systems (including epigenetic control systems), aptamers, mesoporous polydopamine-based nanodrug, polymeric NPs, pH-responsive polymeric nanostructures (particularly in acidic tumor environment), multifunctional NPs, and carbon coated ferrite nanodots for targeted delivery to cancer cells. We, particularly, investigated their dual abilities in precise drug delivery of several payloads, like small molecules, proteins, and nucleic acids, in addition to their capabilities for real-time monitoring of therapeutic response in malignant cells. Moreover, this review underscores how the integration of Artificial Intelligence and machine learning algorithms with such NPs-based architectures is improving diagnostic precision and facilitating personalized cancer therapy approaches, navigating obstacles, including bioavailability and multidrug resistance. By evaluating critical recent breakthroughs about the role of nanotechnology in precision cancer therapy, this review paper highlights the pioneering capabilities of such intelligent nanomedicines in impacting cancer development, consequently advancing patient outcomes.

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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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