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循环血浆细胞外囊泡上PD-L2的动态变化作为接受抗PD-1治疗的黑色素瘤患者治疗反应的预测指标

Dynamic Change of PD-L2 on Circulating Plasma Extracellular Vesicles as a Predictor of Treatment Response in Melanoma Patients Receiving Anti-PD-1 Therapy.

作者信息

Sun Linzi, Wei Xiaoting, Zhao Qian, Mao Lili, Bai Xue, Li Caili, Gu Junjie, Kong Yan, Cui Chuanliang, Chi Zhihong, Sheng Xinan, Lian Bin, Wang Xuan, Li Siming, Yan Xieqiao, Tang Bixia, Zhou Li, Li Juan, Guo Jun, Si Lu, Dai Jie

机构信息

Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital & Institute, Beijing, China.

出版信息

J Extracell Vesicles. 2025 Apr;14(4):e70054. doi: 10.1002/jev2.70054.

DOI:10.1002/jev2.70054
PMID:40135876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11938378/
Abstract

Immune checkpoint inhibitors (ICIs) have provided new hope for melanoma patients, however, not all patients benefit. Furthermore, ICI-related therapies cause significant immune-related adverse events that adversely affect patient outcomes. Therefore, there is a pressing need for reliable biomarkers to identify patients most likely to benefit from these treatments. In this study, we employed an extracellular vesicles (EVs) protein expression array to explore the longitudinal membrane protein profiles of plasma-derived EVs from 32 melanoma patients receiving anti-PD-1 and anti-angiogenesis therapy at baseline and early treatment. We found that the dynamic changes in PD-L2 on the EV membrane were associated with treatment response and patient survival. The dynamic change of EV PD-L2 as an indication of treatment efficacy was validated in an independent cohort of melanoma patients treated with anti-PD-1 monotherapy. Plasma-derived PD-L2+ EVs from patients with mucosal melanoma significantly reduced the frequency of granzyme B+ CD8 T cells within the peripheral blood mononuclear cells (PBMCs) of healthy individuals. The inhibitory effect of PD-L2+ EVs on CD8 T cells was further validated using human melanoma cell lines and the B16-F10 mouse model. Although intratumoural injection of PD-L2+ EVs could promote melanoma growth in vivo, tumours with PD-L2+ EVs showed a higher response to anti-PD-1 than those without PD-L2+ EVs. Collectively, our study demonstrates that PD-L2+ EVs inhibit CD8 T cell activation and promote melanoma growth, and changes in PD-L2 on circulating EVs during early treatment could serve as a biomarker for ICI-based therapy.

摘要

免疫检查点抑制剂(ICIs)为黑色素瘤患者带来了新希望,然而,并非所有患者都能从中获益。此外,ICI相关疗法会引发严重的免疫相关不良事件,对患者的治疗结果产生不利影响。因此,迫切需要可靠的生物标志物来识别最有可能从这些治疗中获益的患者。在本研究中,我们采用细胞外囊泡(EVs)蛋白表达阵列,探索了32例黑色素瘤患者在基线和早期治疗时血浆来源的EVs的纵向膜蛋白谱,这些患者接受了抗PD-1和抗血管生成治疗。我们发现,EV膜上PD-L2的动态变化与治疗反应和患者生存相关。EV PD-L2的动态变化作为治疗疗效的指标,在接受抗PD-1单药治疗的黑色素瘤患者独立队列中得到了验证。黏膜黑色素瘤患者血浆来源的PD-L2+ EVs显著降低了健康个体外周血单个核细胞(PBMCs)中颗粒酶B+ CD8 T细胞的频率。使用人黑色素瘤细胞系和B16-F10小鼠模型进一步验证了PD-L2+ EVs对CD8 T细胞的抑制作用。尽管瘤内注射PD-L2+ EVs可在体内促进黑色素瘤生长,但有PD-L2+ EVs的肿瘤对抗PD-1的反应高于没有PD-L2+ EVs的肿瘤。总体而言,我们的研究表明,PD-L2+ EVs抑制CD8 T细胞活化并促进黑色素瘤生长,早期治疗期间循环EVs上PD-L2的变化可作为基于ICI治疗的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/25357632a087/JEV2-14-e70054-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/d0076e3af2e8/JEV2-14-e70054-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/43e843ad90d1/JEV2-14-e70054-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/1f8b034235bf/JEV2-14-e70054-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/ea5c6297b094/JEV2-14-e70054-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/9964fc355677/JEV2-14-e70054-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/c2da8515bef4/JEV2-14-e70054-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/25357632a087/JEV2-14-e70054-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/d0076e3af2e8/JEV2-14-e70054-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/43e843ad90d1/JEV2-14-e70054-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/1f8b034235bf/JEV2-14-e70054-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/ea5c6297b094/JEV2-14-e70054-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/9964fc355677/JEV2-14-e70054-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/c2da8515bef4/JEV2-14-e70054-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eacb/11938378/25357632a087/JEV2-14-e70054-g005.jpg

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本文引用的文献

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Baseline tumor-infiltrating lymphocyte patterns and response to immune checkpoint inhibition in metastatic cutaneous melanoma.转移性皮肤黑色素瘤的基线肿瘤浸润淋巴细胞模式与免疫检查点抑制反应。
Eur J Cancer. 2024 Sep;208:114190. doi: 10.1016/j.ejca.2024.114190. Epub 2024 Jun 30.
2
High PDL1/PDL2 gene expression correlates with worse outcome in primary mediastinal large B-cell lymphoma.高 PDL1/PDL2 基因表达与原发性纵隔大 B 细胞淋巴瘤的不良预后相关。
Blood Adv. 2023 Dec 12;7(23):7331-7345. doi: 10.1182/bloodadvances.2023011169.
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PD-L2 overexpression on tumor-associated macrophages is one of the predictors for better prognosis in lung adenocarcinoma.
肿瘤相关巨噬细胞中 PD-L2 的过表达是肺腺癌预后较好的预测因子之一。
Med Mol Morphol. 2023 Dec;56(4):250-256. doi: 10.1007/s00795-023-00361-0. Epub 2023 Jul 4.
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Mutated processes predict immune checkpoint inhibitor therapy benefit in metastatic melanoma.突变过程可预测转移性黑色素瘤免疫检查点抑制剂治疗的获益。
Nat Commun. 2022 Sep 19;13(1):5151. doi: 10.1038/s41467-022-32838-4.
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Atezolizumab plus Bevacizumab in Patients with Unresectable or Metastatic Mucosal Melanoma: A Multicenter, Open-Label, Single-Arm Phase II Study.阿替利珠单抗联合贝伐珠单抗治疗不可切除或转移性黏膜黑色素瘤患者的多中心、开放标签、单臂 II 期研究。
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Plasma extracellular vesicle derived protein profile predicting and monitoring immunotherapeutic outcomes of gastric cancer.血浆细胞外囊泡来源蛋白谱预测和监测胃癌免疫治疗的疗效。
J Extracell Vesicles. 2022 Apr;11(4):e12209. doi: 10.1002/jev2.12209.
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Exosomal CD73 from serum of patients with melanoma suppresses lymphocyte functions and is associated with therapy resistance to anti-PD-1 agents.黑色素瘤患者血清外泌体 CD73 抑制淋巴细胞功能,并与抗 PD-1 药物治疗耐药相关。
J Immunother Cancer. 2022 Mar;10(3). doi: 10.1136/jitc-2021-004043.
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Toripalimab plus axitinib in patients with metastatic mucosal melanoma: 3-year survival update and biomarker analysis.特瑞普利单抗联合阿昔替尼治疗转移性黏膜黑色素瘤患者:3 年生存数据更新及生物标志物分析。
J Immunother Cancer. 2022 Feb;10(2). doi: 10.1136/jitc-2021-004036.
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