Suppr超能文献

免疫导向的分子影像生物标志物。

Immune-Directed Molecular Imaging Biomarkers.

机构信息

Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Weill Cornell Medical College, New York, NY.

Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY.

出版信息

Semin Nucl Med. 2020 Nov;50(6):584-603. doi: 10.1053/j.semnuclmed.2020.06.005. Epub 2020 Jul 15.

Abstract

Imaging has played a critical role in the management of patients with cancer. Novel therapies are emerging rapidly; however, they are effective only in some patients. With the advent of new targeted therapeutics and immunotherapy, the limitations of conventional imaging methods are becoming more evident. FDG-PET imaging is restricted to the optimal assessment of immune therapies. There is a critical unmet need for pharmacodynamic and prognostic imaging biomarkers. Radiolabeled antibodies or small molecules can allow for specific assessment of targets in expression and concentration. Several such imaging agents have been under preclinical development. Early human studies with radiolabeled monoclonal antibodies or small molecules targeted to the epidermal growth factor receptor pathway have shown potential; targeted imaging of CA19.9 and CA-IX and are being further explored. Immune-directed imaging agents are highly desirable as biomarkers and preliminary studies with radiolabeled antibodies targeting immune mechanisms appear promising. While novel agents are being developed, larger well-designed studies are needed to validate the role of these agents as biomarkers in the clinical management of patients.

摘要

成像在癌症患者的治疗中起着至关重要的作用。新的治疗方法正在迅速涌现;然而,它们仅对一些患者有效。随着新型靶向治疗和免疫疗法的出现,传统成像方法的局限性变得更加明显。FDG-PET 成像仅限于对免疫疗法的最佳评估。人们迫切需要药效学和预后成像生物标志物。放射性标记的抗体或小分子可以特异性评估表达和浓度的靶标。已经有几种此类成像剂处于临床前开发阶段。用放射性标记的针对表皮生长因子受体途径的单克隆抗体或小分子进行的早期人体研究显示出了潜力;针对 CA19.9 和 CA-IX 的靶向成像正在进一步探索中。免疫导向成像剂作为生物标志物非常理想,并且针对免疫机制的放射性标记抗体的初步研究显示出了前景。虽然正在开发新的药物,但需要进行更大规模的精心设计的研究,以验证这些药物作为生物标志物在患者临床治疗中的作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验