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本文引用的文献

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A Network Module for the Perseus Software for Computational Proteomics Facilitates Proteome Interaction Graph Analysis.用于计算蛋白质组学的 Perseus 软件的网络模块促进蛋白质组相互作用图分析。
J Proteome Res. 2019 May 3;18(5):2052-2064. doi: 10.1021/acs.jproteome.8b00927. Epub 2019 Apr 10.
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Dysfunctional CD8 T Cells Form a Proliferative, Dynamically Regulated Compartment within Human Melanoma.功能失调的 CD8 T 细胞在人类黑色素瘤中形成一个增殖的、动态调节的隔室。
Cell. 2019 Feb 7;176(4):775-789.e18. doi: 10.1016/j.cell.2018.11.043. Epub 2018 Dec 27.
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A Cancer Cell Program Promotes T Cell Exclusion and Resistance to Checkpoint Blockade.肿瘤细胞程序性死亡配体 1 表达促进 T 细胞排除和对检查点阻断的抵抗
Cell. 2018 Nov 1;175(4):984-997.e24. doi: 10.1016/j.cell.2018.09.006.
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Clinical Proteomics of Breast Cancer Reveals a Novel Layer of Breast Cancer Classification.乳腺癌的临床蛋白质组学揭示了一种新的乳腺癌分类层次。
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Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma.在转移性黑色素瘤中对免疫检查点阻断治疗反应的稳健预测。
Nat Med. 2018 Oct;24(10):1545-1549. doi: 10.1038/s41591-018-0157-9. Epub 2018 Aug 20.
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Cancer immunotherapy efficacy and patients' sex: a systematic review and meta-analysis.癌症免疫疗法的疗效与患者性别:系统评价和荟萃分析。
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7
Increased Tumor Glycolysis Characterizes Immune Resistance to Adoptive T Cell Therapy.肿瘤糖酵解增加是对过继性 T 细胞治疗产生免疫抵抗的特征。
Cell Metab. 2018 May 1;27(5):977-987.e4. doi: 10.1016/j.cmet.2018.02.024. Epub 2018 Apr 5.
8
Cancer-Cell-Intrinsic Mechanisms Shaping the Tumor Immune Landscape.肿瘤微环境中癌细胞内在机制的塑造作用。
Immunity. 2018 Mar 20;48(3):399-416. doi: 10.1016/j.immuni.2018.03.004.
9
Myeloid-targeted immunotherapies act in synergy to induce inflammation and antitumor immunity.髓系靶向免疫疗法协同作用诱导炎症和抗肿瘤免疫。
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10
The regulatory network behind MHC class I expression.MHC Ⅰ类分子表达的调控网络。
Mol Immunol. 2019 Sep;113:16-21. doi: 10.1016/j.molimm.2017.12.005. Epub 2017 Dec 8.

免疫治疗下黑色素瘤反应的蛋白质组学研究揭示了线粒体的依赖性。

Proteomics of Melanoma Response to Immunotherapy Reveals Mitochondrial Dependence.

机构信息

Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel-Aviv 6997801, Israel.

Ella Lemelbaum Institute of Immuno-Oncology, Sheba Medical Center, Tel Hashomer 5265601, Israel; Department of Clinical Immunology and Microbiology, Sackler School of Medicine, Tel Aviv University, Tel-Aviv 6997801, Israel.

出版信息

Cell. 2019 Sep 19;179(1):236-250.e18. doi: 10.1016/j.cell.2019.08.012. Epub 2019 Sep 5.

DOI:10.1016/j.cell.2019.08.012
PMID:31495571
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7993352/
Abstract

Immunotherapy has revolutionized cancer treatment, yet most patients do not respond. Here, we investigated mechanisms of response by profiling the proteome of clinical samples from advanced stage melanoma patients undergoing either tumor infiltrating lymphocyte (TIL)-based or anti- programmed death 1 (PD1) immunotherapy. Using high-resolution mass spectrometry, we quantified over 10,300 proteins in total and ∼4,500 proteins across most samples in each dataset. Statistical analyses revealed higher oxidative phosphorylation and lipid metabolism in responders than in non-responders in both treatments. To elucidate the effects of the metabolic state on the immune response, we examined melanoma cells upon metabolic perturbations or CRISPR-Cas9 knockouts. These experiments indicated lipid metabolism as a regulatory mechanism that increases melanoma immunogenicity by elevating antigen presentation, thereby increasing sensitivity to T cell mediated killing both in vitro and in vivo. Altogether, our proteomic analyses revealed association between the melanoma metabolic state and the response to immunotherapy, which can be the basis for future improvement of therapeutic response.

摘要

免疫疗法已经彻底改变了癌症治疗,然而大多数患者对此没有反应。在这里,我们通过对接受肿瘤浸润淋巴细胞(TIL)或抗程序性死亡 1(PD1)免疫疗法的晚期黑色素瘤患者的临床样本进行蛋白质组学分析,研究了反应的机制。我们使用高分辨率质谱法,在每个数据集的大多数样本中总共定量了超过 10300 种蛋白质和约 4500 种蛋白质。统计分析表明,两种治疗方法中,应答者的氧化磷酸化和脂质代谢水平均高于无应答者。为了阐明代谢状态对免疫反应的影响,我们在代谢扰动或 CRISPR-Cas9 敲除后检查了黑色素瘤细胞。这些实验表明,脂质代谢是一种调节机制,通过增加抗原呈递来提高黑色素瘤的免疫原性,从而增加体外和体内对 T 细胞介导杀伤的敏感性。总之,我们的蛋白质组学分析揭示了黑色素瘤代谢状态与免疫疗法反应之间的关联,这可能为未来改善治疗反应提供基础。

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