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定义实体瘤中免疫检查点抑制剂的临床有用生物标志物。

Defining clinically useful biomarkers of immune checkpoint inhibitors in solid tumours.

机构信息

Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Department of Surgery, Massachusetts General Hospital, Boston, MA, USA.

出版信息

Nat Rev Cancer. 2024 Jul;24(7):498-512. doi: 10.1038/s41568-024-00705-7. Epub 2024 Jun 12.


DOI:10.1038/s41568-024-00705-7
PMID:38867074
Abstract

Although more than a decade has passed since the approval of immune checkpoint inhibitors (ICIs) for the treatment of melanoma and non-small-cell lung, breast and gastrointestinal cancers, many patients still show limited response. US Food and Drug Administration (FDA)-approved biomarkers include programmed cell death 1 ligand 1 (PDL1) expression, microsatellite status (that is, microsatellite instability-high (MSI-H)) and tumour mutational burden (TMB), but these have limited utility and/or lack standardized testing approaches for pan-cancer applications. Tissue-based analytes (such as tumour gene signatures, tumour antigen presentation or tumour microenvironment profiles) show a correlation with immune response, but equally, these demonstrate limited efficacy, as they represent a single time point and a single spatial assessment. Patient heterogeneity as well as inter- and intra-tumoural differences across different tissue sites and time points represent substantial challenges for static biomarkers. However, dynamic biomarkers such as longitudinal biopsies or novel, less-invasive markers such as blood-based biomarkers, radiomics and the gut microbiome show increasing potential for the dynamic identification of ICI response, and patient-tailored predictors identified through neoadjuvant trials or novel ex vivo tumour models can help to personalize treatment. In this Perspective, we critically assess the multiple new static, dynamic and patient-specific biomarkers, highlight the newest consortia and trial efforts, and provide recommendations for future clinical trials to make meaningful steps forwards in the field.

摘要

虽然免疫检查点抑制剂 (ICIs) 获批用于治疗黑色素瘤和非小细胞肺癌、乳腺癌和胃肠道癌已经过去了十多年,但许多患者的反应仍然有限。美国食品和药物管理局 (FDA) 批准的生物标志物包括程序性细胞死亡配体 1 (PDL1) 表达、微卫星状态(即微卫星不稳定高 (MSI-H))和肿瘤突变负担 (TMB),但这些生物标志物的实用性有限,且缺乏用于泛癌应用的标准化检测方法。基于组织的分析物(例如肿瘤基因特征、肿瘤抗原呈递或肿瘤微环境特征)与免疫反应相关,但同样,这些分析物的疗效有限,因为它们代表一个单一的时间点和单一的空间评估。患者异质性以及不同组织部位和时间点的肿瘤内和肿瘤间差异,对静态生物标志物构成了重大挑战。然而,动态生物标志物,如纵向活检或新型、较少侵入性的标志物,如基于血液的生物标志物、放射组学和肠道微生物组,为动态识别 ICI 反应提供了越来越大的潜力,通过新辅助试验或新型体外肿瘤模型确定的患者特异性预测因子有助于实现治疗的个体化。在这篇观点文章中,我们批判性地评估了多种新的静态、动态和患者特异性生物标志物,强调了最新的联合和试验努力,并为未来的临床试验提供了建议,以在该领域取得有意义的进展。

相似文献

[1]
Defining clinically useful biomarkers of immune checkpoint inhibitors in solid tumours.

Nat Rev Cancer. 2024-7

[2]
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[3]
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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[10]
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J Hematol Oncol. 2025-9-2

[2]
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BMC Cancer. 2025-8-27

[3]
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Immunotargets Ther. 2025-8-20

[4]
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Front Pharmacol. 2025-8-6

[5]
Prognostic stratification through smoking status and cumulative smoking dose in advanced non-small cell lung cancer immunotherapy: a dose-dependent real-world analysis.

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[6]
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Transl Lung Cancer Res. 2025-7-31

[7]
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Front Immunol. 2025-7-18

[8]
Advances and obstacles of T cell-based immunotherapy in gynecological malignancies.

Mol Cancer. 2025-7-26

[9]
Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer.

Sci Rep. 2025-7-23

[10]
Engineered platelet-derived exosomal spheres for enhanced tumor penetration and extended circulation in melanoma immunotherapy.

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本文引用的文献

[1]
Ex vivo drug response profiling for response and outcome prediction in hematologic malignancies: the prospective non-interventional SMARTrial.

Nat Cancer. 2023-12

[2]
Role of gut microbiome in cancer immunotherapy: from predictive biomarker to therapeutic target.

Exp Hematol Oncol. 2023-9-28

[3]
Radiomics approaches to predict PD-L1 and PFS in advanced non-small cell lung patients treated with immunotherapy: a multi-institutional study.

Sci Rep. 2023-7-8

[4]
Fecal microbiota transplantation plus anti-PD-1 immunotherapy in advanced melanoma: a phase I trial.

Nat Med. 2023-8

[5]
IFN-γ signature enables selection of neoadjuvant treatment in patients with stage III melanoma.

J Exp Med. 2023-5-1

[6]
Patient-Derived Tumor Organoids Can Predict the Progression-Free Survival of Patients With Stage IV Colorectal Cancer After Surgery.

Dis Colon Rectum. 2023-5-1

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Cell Rep Med. 2023-2-21

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Five-Year Survival Outcomes With Nivolumab Plus Ipilimumab Versus Chemotherapy as First-Line Treatment for Metastatic Non-Small-Cell Lung Cancer in CheckMate 227.

J Clin Oncol. 2023-2-20

[9]
PD-L1 testing by immunohistochemistry in immuno-oncology.

Biomol Biomed. 2023-2-1

[10]
Predicting cancer immunotherapy response from gut microbiomes using machine learning models.

Oncotarget. 2022

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