• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

预测生物标志物和抗 PD1/PD-L1 阻断癌症免疫治疗的机制。

Predictive biomarkers and mechanisms underlying resistance to PD1/PD-L1 blockade cancer immunotherapy.

机构信息

NHC Key Laboratory of Carcinogenesis and Hunan Key Laboratory of Translational Radiation Oncology, Hunan Cancer Hospital and The Affiliated Cancer Hospital, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.

Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, Hunan, China.

出版信息

Mol Cancer. 2020 Jan 30;19(1):19. doi: 10.1186/s12943-020-1144-6.

DOI:10.1186/s12943-020-1144-6
PMID:32000802
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6993488/
Abstract

Immune checkpoint blockade targeting PD-1/PD-L1 has promising therapeutic efficacy in a variety of tumors, but resistance during treatment is a major issue. In this review, we describe the utility of PD-L1 expression levels, mutation burden, immune cell infiltration, and immune cell function for predicting the efficacy of PD-1/PD-L1 blockade therapy. Furthermore, we explore the mechanisms underlying immunotherapy resistance caused by PD-L1 expression on tumor cells, T cell dysfunction, and T cell exhaustion. Based on these mechanisms, we propose combination therapeutic strategies. We emphasize the importance of patient-specific treatment plans to reduce the economic burden and prolong the life of patients. The predictive indicators, resistance mechanisms, and combination therapies described in this review provide a basis for improved precision medicine.

摘要

免疫检查点阻断针对 PD-1/PD-L1 在多种肿瘤中具有有前景的治疗效果,但治疗过程中的耐药性是一个主要问题。在这篇综述中,我们描述了 PD-L1 表达水平、突变负担、免疫细胞浸润和免疫细胞功能在预测 PD-1/PD-L1 阻断治疗疗效方面的应用。此外,我们探讨了肿瘤细胞上 PD-L1 表达、T 细胞功能障碍和 T 细胞耗竭导致免疫治疗耐药的机制。基于这些机制,我们提出了联合治疗策略。我们强调了制定个体化治疗计划的重要性,以降低经济负担并延长患者的生命。本综述中描述的预测指标、耐药机制和联合治疗为改善精准医学提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/df4c6cb439f9/12943_2020_1144_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/6f87d595da50/12943_2020_1144_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/174fa8e950ef/12943_2020_1144_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/5d96b27543c3/12943_2020_1144_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/8d348f0b10a4/12943_2020_1144_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/df4c6cb439f9/12943_2020_1144_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/6f87d595da50/12943_2020_1144_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/174fa8e950ef/12943_2020_1144_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/5d96b27543c3/12943_2020_1144_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/8d348f0b10a4/12943_2020_1144_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e62d/6993488/df4c6cb439f9/12943_2020_1144_Fig7_HTML.jpg

相似文献

1
Predictive biomarkers and mechanisms underlying resistance to PD1/PD-L1 blockade cancer immunotherapy.预测生物标志物和抗 PD1/PD-L1 阻断癌症免疫治疗的机制。
Mol Cancer. 2020 Jan 30;19(1):19. doi: 10.1186/s12943-020-1144-6.
2
Predictive Biomarkers for Immunotherapy Response Beyond PD-1/PD-L1.除PD-1/PD-L1之外的免疫治疗反应预测生物标志物
Oncology (Williston Park). 2020 Aug 12;34(8):321-327. doi: 10.46883/ONC.2020.3408.0321.
3
Targeting Programmed Cell Death -1 (PD-1) and Ligand (PD-L1): A new era in cancer active immunotherapy.靶向细胞程序性死亡受体 1(PD-1)及其配体(PD-L1):癌症主动免疫治疗的新纪元。
Pharmacol Ther. 2019 Feb;194:84-106. doi: 10.1016/j.pharmthera.2018.09.008. Epub 2018 Sep 28.
4
PD-1/PD-L1 immune checkpoint: Potential target for cancer therapy.PD-1/PD-L1 免疫检查点:癌症治疗的潜在靶点。
J Cell Physiol. 2019 Feb;234(2):1313-1325. doi: 10.1002/jcp.27172. Epub 2018 Sep 7.
5
Understanding and overcoming the resistance of cancer to PD-1/PD-L1 blockade.理解并克服癌症对 PD-1/PD-L1 阻断的抵抗。
Pharmacol Res. 2019 Jul;145:104258. doi: 10.1016/j.phrs.2019.104258. Epub 2019 May 4.
6
[Biomarkers predictive of PD1/PD-L1 immunotherapy in non-small cell lung cancer].[非小细胞肺癌中预测PD1/PD-L1免疫治疗的生物标志物]
Rev Pneumol Clin. 2018 Oct;74(5):339-350. doi: 10.1016/j.pneumo.2018.09.010. Epub 2018 Oct 15.
7
Immune checkpoint blockade therapy for cancer: An overview of FDA-approved immune checkpoint inhibitors.癌症的免疫检查点阻断疗法:FDA 批准的免疫检查点抑制剂概述。
Int Immunopharmacol. 2018 Sep;62:29-39. doi: 10.1016/j.intimp.2018.06.001. Epub 2018 Jul 2.
8
Predictive biomarkers for PD-1 and PD-L1 immune checkpoint blockade therapy.预测性生物标志物用于 PD-1 和 PD-L1 免疫检查点阻断治疗。
Immunotherapy. 2019 Apr;11(6):515-529. doi: 10.2217/imt-2018-0173.
9
PD-1/PD-L1 Blockade Therapy in Advanced Non-Small-Cell Lung Cancer: Current Status and Future Directions.PD-1/PD-L1 阻断疗法在晚期非小细胞肺癌中的应用:现状与未来方向。
Oncologist. 2019 Feb;24(Suppl 1):S31-S41. doi: 10.1634/theoncologist.2019-IO-S1-s05.
10
A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.一种基于放射组学的方法来评估肿瘤浸润 CD8 细胞与抗 PD-1 或抗 PD-L1 免疫治疗反应的关系:一项影像学生物标志物、回顾性多队列研究。
Lancet Oncol. 2018 Sep;19(9):1180-1191. doi: 10.1016/S1470-2045(18)30413-3. Epub 2018 Aug 14.

引用本文的文献

1
Unmasking immune checkpoint resistance in esophageal squamous cell carcinoma: Insights into the tumor microenvironment and biomarker landscape.揭示食管鳞状细胞癌中的免疫检查点耐药性:对肿瘤微环境和生物标志物格局的见解
World J Gastrointest Oncol. 2025 Aug 15;17(8):109489. doi: 10.4251/wjgo.v17.i8.109489.
2
Lymphocyte subset-based non-invasive biomarker predicts immunochemotherapy efficacy in EGFR-TKI-pretreated EGFR-mutated NSCLC.基于淋巴细胞亚群的非侵入性生物标志物可预测表皮生长因子受体酪氨酸激酶抑制剂预处理的表皮生长因子受体突变型非小细胞肺癌患者的免疫化疗疗效。
iScience. 2025 Jul 25;28(9):113211. doi: 10.1016/j.isci.2025.113211. eCollection 2025 Sep 19.
3

本文引用的文献

1
The V600E mutation is a predictor of the effect of radioiodine therapy in papillary thyroid cancer.V600E突变是甲状腺乳头状癌放射性碘治疗效果的一个预测指标。
J Cancer. 2020 Jan 1;11(4):932-939. doi: 10.7150/jca.33105. eCollection 2020.
2
Durable Response After Combination Of Concurrent Chemoradiotherapy And Anti-PD-1 Therapy In HER2-Negative Advanced Gastric Adenocarcinoma: A Case Report.HER2阴性晚期胃腺癌同步放化疗联合抗PD-1治疗后的持久反应:一例报告
Onco Targets Ther. 2019 Sep 19;12:7691-7698. doi: 10.2147/OTT.S221436. eCollection 2019.
3
Neoantigen vaccine: an emerging tumor immunotherapy.
High-precision immune-related plasma proteomics profiling predicts response to immunotherapy in patients with triple-negative breast cancer.
高精度免疫相关血浆蛋白质组学分析可预测三阴性乳腺癌患者对免疫治疗的反应。
Cancer Biol Med. 2025 Jul 4;22(7):854-70. doi: 10.20892/j.issn.2095-3941.2025.0038.
4
Impact of PD‑L1 upregulation on immune checkpoint inhibitor efficacy in triple‑negative breast cancer using a 4T1 murine model.使用4T1小鼠模型研究PD-L1上调对三阴性乳腺癌免疫检查点抑制剂疗效的影响。
Int J Oncol. 2025 Jul;67(1). doi: 10.3892/ijo.2025.5760. Epub 2025 Jun 13.
5
The landscape and clinical impact of tumor-associated macrophages and PD-L1 in primary breast cancers and their brain metastases.肿瘤相关巨噬细胞和PD-L1在原发性乳腺癌及其脑转移瘤中的格局及临床影响。
Front Immunol. 2025 May 29;16:1598293. doi: 10.3389/fimmu.2025.1598293. eCollection 2025.
6
Triglyceride-glucose index in predicting gastric cancer prognosis: A need for caution.甘油三酯-葡萄糖指数在预测胃癌预后中的应用:需谨慎对待。
World J Gastroenterol. 2025 May 14;31(18):104525. doi: 10.3748/wjg.v31.i18.104525.
7
Novel Composite Scoring System for Predicting Prognosis in Stage IV Gastric Cancer Patients Treated with Immune Checkpoint Inhibitors.用于预测接受免疫检查点抑制剂治疗的IV期胃癌患者预后的新型综合评分系统
J Inflamm Res. 2025 May 22;18:6491-6504. doi: 10.2147/JIR.S519724. eCollection 2025.
8
Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio as predictive biomarkers for treatment response in primary advanced hypopharyngeal squamous cell carcinoma treated with chemoimmunotherapy.中性粒细胞与淋巴细胞比值和血小板与淋巴细胞比值作为接受化学免疫疗法治疗的原发性晚期下咽鳞状细胞癌治疗反应的预测生物标志物。
Clin Exp Med. 2025 May 24;25(1):172. doi: 10.1007/s10238-025-01675-2.
9
The genetic architecture of bone metastases: unveiling the role of epigenetic and genetic modifications in drug resistance.骨转移的遗传结构:揭示表观遗传和基因修饰在耐药性中的作用。
Cancer Drug Resist. 2025 Apr 22;8:19. doi: 10.20517/cdr.2025.28. eCollection 2025.
10
Prognosis of Robot-Assisted Esophagectomy with Thoracic Duct Resection in Esophageal Squamous Cell Carcinoma.机器人辅助食管癌切除术联合胸导管切除术治疗食管鳞状细胞癌的预后
Ann Surg Oncol. 2025 Apr 30. doi: 10.1245/s10434-025-17318-5.
肿瘤新生抗原疫苗:一种新兴的肿瘤免疫疗法。
Mol Cancer. 2019 Aug 23;18(1):128. doi: 10.1186/s12943-019-1055-6.
4
Promotes Cell Proliferation, Migration, and Invasion in Nasopharyngeal Carcinoma.促进鼻咽癌细胞的增殖、迁移和侵袭。
J Cancer. 2019 Jun 24;10(17):3926-3932. doi: 10.7150/jca.31345. eCollection 2019.
5
PVT1 Promotes Cancer Progression via MicroRNAs.PVT1通过微小RNA促进癌症进展。
Front Oncol. 2019 Jul 15;9:609. doi: 10.3389/fonc.2019.00609. eCollection 2019.
6
The role of Wnt signaling pathway in tumor metabolic reprogramming.Wnt信号通路在肿瘤代谢重编程中的作用。
J Cancer. 2019 Jun 9;10(16):3789-3797. doi: 10.7150/jca.31166. eCollection 2019.
7
Removal of N-Linked Glycosylation Enhances PD-L1 Detection and Predicts Anti-PD-1/PD-L1 Therapeutic Efficacy.去除 N-连接糖基化可增强 PD-L1 的检测,并预测抗 PD-1/PD-L1 治疗效果。
Cancer Cell. 2019 Aug 12;36(2):168-178.e4. doi: 10.1016/j.ccell.2019.06.008. Epub 2019 Jul 18.
8
Long non-coding RNA PVT1 interacts with MYC and its downstream molecules to synergistically promote tumorigenesis.长链非编码 RNA PVT1 与 MYC 及其下游分子相互作用,协同促进肿瘤发生。
Cell Mol Life Sci. 2019 Nov;76(21):4275-4289. doi: 10.1007/s00018-019-03222-1. Epub 2019 Jul 15.
9
Proteomic Analysis of the Molecular Mechanism of Lovastatin Inhibiting the Growth of Nasopharyngeal Carcinoma Cells.洛伐他汀抑制鼻咽癌细胞生长分子机制的蛋白质组学分析
J Cancer. 2019 May 26;10(10):2342-2349. doi: 10.7150/jca.30454. eCollection 2019.
10
Herpesvirus acts with the cytoskeleton and promotes cancer progression.疱疹病毒与细胞骨架相互作用并促进癌症进展。
J Cancer. 2019 May 21;10(10):2185-2193. doi: 10.7150/jca.30222. eCollection 2019.