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靶向放射性核素治疗联合治疗方案。

Targeted radionuclide therapy in combined-modality regimens.

机构信息

CRUK/MRC Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Oxford, UK.

The Royal Marsden Hospital NHS Foundation Trust, Sutton, Surrey, UK.

出版信息

Lancet Oncol. 2017 Jul;18(7):e414-e423. doi: 10.1016/S1470-2045(17)30379-0.

Abstract

Targeted radionuclide therapy (TRT) is a branch of cancer medicine concerned with the use of radioisotopes, radiolabelled molecules, nanoparticles, or microparticles that either naturally accumulate in or are designed to target tumours. TRT combines the specificity of molecular and sometimes physical targeting with the potent cytotoxicity of ionising radiation. Targeting vectors for TRT include antibodies, antibody fragments, proteins, peptides, and small molecules. The diversity of available carrier molecules, together with the large panel of suitable radioisotopes with unique physicochemical properties, allows vector-radionuclide pairings to be matched to the molecular, pathological, and physical characteristics of a tumour. Some pairings are designed for dual therapeutic and diagnostic applications. Use of TRT is increasing with the adoption into practice of radium-223 dichloride for the treatment of bone metastases and with the ongoing clinical development of, among others, Lu-dodecanetetraacetic acid tyrosine-3-octreotate (DOTATATE) for the treatment of neuroendocrine tumours and Y-microspheres for the treatment of hepatic tumours. The increasing use of TRT raises the question of how best to integrate TRT into multimodality protocols. Achievements in this area and the future prospects of TRT are evaluated in this Review.

摘要

靶向放射性核素治疗(TRT)是癌症医学的一个分支,涉及使用放射性同位素、放射性标记分子、纳米颗粒或微颗粒,这些物质要么自然聚集在肿瘤中,要么被设计成靶向肿瘤。TRT 将分子和有时是物理靶向的特异性与电离辐射的强大细胞毒性结合在一起。TRT 的靶向载体包括抗体、抗体片段、蛋白质、肽和小分子。可用载体分子的多样性,以及具有独特物理化学特性的大量合适的放射性同位素,允许将载体-放射性核素配对与肿瘤的分子、病理和物理特征相匹配。一些配对设计用于双重治疗和诊断应用。随着镭-223 二氯化物在治疗骨转移中的应用实践以及 Lu-十二烷四乙酸酪氨酸-3-奥曲肽(DOTATATE)等用于治疗神经内分泌肿瘤和 Y-微球用于治疗肝肿瘤的临床开发,TRT 的使用正在增加。TRT 的日益使用提出了如何将 TRT 最好地整合到多模式方案中的问题。本综述评估了该领域的成就和 TRT 的未来前景。

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