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利用噬菌体展示技术生成肽段用于癌症诊断和分子成像。

Generation of peptides using phage display technology for cancer diagnosis and molecular imaging.

机构信息

Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang, Malaysia.

Faculty of Medicine, AIMST University, Bedong, Kedah, 08100, Malaysia.

出版信息

Mol Biol Rep. 2023 May;50(5):4653-4664. doi: 10.1007/s11033-023-08380-x. Epub 2023 Apr 4.

Abstract

Cancer is one of the leading causes of mortality worldwide; nearly 10 million people died from it in 2020. The high mortality rate results from the lack of effective screening approaches where early detection cannot be achieved, reducing the chance of early intervention to prevent cancer development. Non-invasive and deep-tissue imaging is useful in cancer diagnosis, contributing to a visual presentation of anatomy and physiology in a rapid and safe manner. Its sensitivity and specificity can be enhanced with the application of targeting ligands with the conjugation of imaging probes. Phage display is a powerful technology to identify antibody- or peptide-based ligands with effective binding specificity against their target receptor. Tumour-targeting peptides exhibit promising results in molecular imaging, but the application is limited to animals only. Modern nanotechnology facilitates the combination of peptides with various nanoparticles due to their superior characteristics, rendering novel strategies in designing more potent imaging probes for cancer diagnosis and targeting therapy. In the end, a myriad of peptide candidates that aimed for different cancers diagnosis and imaging in various forms of research were reviewed.

摘要

癌症是全球主要死因之一;2020 年,近 1000 万人因此死亡。高死亡率是由于缺乏有效的筛查方法,无法实现早期检测,从而降低了早期干预以预防癌症发展的机会。非侵入性和深层组织成像在癌症诊断中很有用,有助于以快速和安全的方式呈现解剖结构和生理学。通过应用与成像探针偶联的靶向配体,可以提高其灵敏度和特异性。噬菌体展示是一种强大的技术,可以识别针对其靶受体具有有效结合特异性的抗体或肽基配体。肿瘤靶向肽在分子成像中显示出有前景的结果,但该应用仅限于动物。现代纳米技术由于其优越的特性,促进了肽与各种纳米粒子的结合,为设计更有效的癌症诊断和靶向治疗成像探针提供了新策略。最后,综述了针对不同癌症诊断和成像的各种形式研究中的无数肽候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5477/10072011/b34535b7963a/11033_2023_8380_Fig1_HTML.jpg

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