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程序性细胞死亡配体作为免疫治疗反应的生物标志物:基于质谱分析的贡献。

Programmed Cell Death Ligand as a Biomarker for Response to Immunotherapy: Contribution of Mass Spectrometry-Based Analysis.

作者信息

Agostini Marco, Traldi Pietro, Hamdan Mahmoud

机构信息

Istituto di Ricerca Pediatrica Città della Speranza, Corso Stati Uniti 4, 35100 Padova, Italy.

出版信息

Cancers (Basel). 2025 Mar 17;17(6):1001. doi: 10.3390/cancers17061001.

Abstract

Immune checkpoint inhibition is a major component in today's cancer immunotherapy. In recent years, the FDA has approved a number of immune checkpoint inhibitors (ICIs) for the treatment of melanoma, non-small-cell lung, breast and gastrointestinal cancers. These inhibitors, which target cytotoxic T-lymphocyte antigen-4, programmed cell death (PD-1), and programmed cell death ligand (PD-L1) checkpoints have assumed a leading role in immunotherapy. The same inhibitors exert significant antitumor effects by overcoming tumor cell immune evasion and reversing T-cell exhaustion. The initial impact of this therapy in cancer treatment was justly described as revolutionary, however, clinical as well as research data which followed demonstrated that these innovative drugs are costly, are associated with potentially severe adverse effects, and only benefit a small subset of patients. These limitations encouraged enhanced research and clinical efforts to identify predictive biomarkers to stratify patients who are most likely to benefit from this form of therapy. The discovery and characterization of this class of biomarkers is pivotal in guiding individualized treatment against various forms of cancer. Currently, there are three FDA-approved predictive biomarkers, however, none of which on its own can deliver a reliable and precise response to immune therapy. Present literature identifies the absence of precise predictive biomarkers and poor understanding of the mechanisms behind tumor resistance as the main obstacles facing ICIs immunotherapy. In the present text, we discuss the dual role of PD-L1 as a biomarker for response to immunotherapy and as an immune checkpoint. The contribution of mass spectrometry-based analysis, particularly the impact of protein post-translational modifications on the performance of this protein is underlined.

摘要

免疫检查点抑制是当今癌症免疫治疗的一个主要组成部分。近年来,美国食品药品监督管理局(FDA)已批准多种免疫检查点抑制剂(ICI)用于治疗黑色素瘤、非小细胞肺癌、乳腺癌和胃肠道癌。这些抑制剂靶向细胞毒性T淋巴细胞抗原4、程序性细胞死亡蛋白1(PD -1)和程序性细胞死亡配体1(PD -L1)检查点,在免疫治疗中发挥了主导作用。同样的抑制剂通过克服肿瘤细胞免疫逃逸和逆转T细胞耗竭发挥显著的抗肿瘤作用。这种疗法在癌症治疗中的初步影响被恰当地描述为具有革命性,然而,随后的临床和研究数据表明,这些创新药物成本高昂,可能会带来严重的不良反应,而且只对一小部分患者有益。这些局限性促使人们加强研究和临床努力,以确定预测性生物标志物,对最有可能从这种治疗形式中获益的患者进行分层。这类生物标志物的发现和特征描述对于指导针对各种癌症的个体化治疗至关重要。目前,有三种FDA批准的预测性生物标志物,然而,没有一种能够单独对免疫治疗给出可靠而精确的反应。目前的文献指出,缺乏精确的预测性生物标志物以及对肿瘤耐药背后机制的理解不足是ICI免疫治疗面临的主要障碍。在本文中,我们讨论了PD -L1作为免疫治疗反应生物标志物和免疫检查点的双重作用。强调了基于质谱分析的贡献,特别是蛋白质翻译后修饰对该蛋白性能的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e205/11940629/a7da46401efb/cancers-17-01001-g001.jpg

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