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黑色素瘤中肿瘤微环境动态在塑造治疗干预耐药性中的作用:一项叙述性综述

英文原题:Tumor Microenvironmental Dynamics in Shaping Resistance to Therapeutic Interventions in Melanoma: A Narrative Review.

查看英文原题

Tumor Microenvironmental Dynamics in Shaping Resistance to Therapeutic Interventions in Melanoma: A Narrative Review.

PubMed 2025/07/22(内容时间) Pharmaceuticals (Basel) Q1 · IF 5.7(JCR 2025)

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中文摘要

从PubMed数据库中共提取1052项研究,检索关键词和短语包括[黑色素瘤 AND 免疫检查点抑制剂耐药]。经过标题/摘要和全文审查后,确定101项符合纳入/排除标准的研究。

癌症相关成纤维细胞(CAFs)、M2巨噬细胞和髓源性抑制细胞(MDSCs)在重塑TME以促进黑色素瘤生长方面具有重要意义。黑色素瘤对ICIs的耐药是复杂的,涉及TME改变、肿瘤内在因素和免疫逃逸。耐药的关键组成部分包括CD8+ T细胞浸润减少、宿主免疫反应降低和免疫抑制性细胞因子。

预测性生物标志物和特定模型是黑色素瘤个体化管理的未来,并在其靶向治疗开发方法中展现出巨大前景。肿瘤谱分析可用于帮助预测ICIs的疗效,而预测治疗反应的特定生物标志物有助于迈向个性化和更有效的医学。随着更多黑色素瘤耐药的出现,将需要基于现有耐药机制知识的替代和联合治疗。

展开英文摘要原文

Background/Objectives : This review discusses the resistance mechanisms in the tumor microenvironment (TME) of malignant melanoma that disrupt the efficacy of immune checkpoint inhibitors (ICIs). In this review, we focus on the roles of immune cells, including tumor-infiltrating lymphocytes (TILs), macrophages, dendritic cells, and other signaling pathways.

We explore the interplay between innate and adaptive immunity in the TME and tumor intrinsic resistance mechanisms, such as β-catenin, which has future implications for the usage of ICIs in patients with therapy-resistant tumors. Methods : A total of 1052 studies were extracted from the PubMed database searching for keywords and phrases that included [melanoma AND immune checkpoint inhibitor resistance]. After a title/abstract and full-text review, 101 studies were identified that fit the inclusion/exclusion criteria. Results : Cancer-associated fibroblasts (CAFs), M2 macrophages, and myeloid-derived suppressor cells (MDSCs) are significant in remodeling the TME to promote melanoma growth.

Melanoma resistance to ICIs is complex and involves TME alterations, tumor intrinsic factors, and immune evasion. Key components of resistance include reduced CD8+ T cell infiltration, decreased host immune response, and immunosuppressive cytokines. Conclusions : Predictive biomarkers and specific models are the future of individualized melanoma management and show great promise in their approach to targeted therapy production.

Tumor profiling can be utilized to help predict the efficacy of ICIs, and specific biomarkers predicting therapy responses are instrumental in moving towards personalized and more efficacious medicine. As more melanoma resistance emerges, alternative and combinatorial therapy based on knowledge of existing resistance mechanisms will be needed.

论文信息

作者
Turner LM、Terhaar H、Jiminez V、Anderson BJ、Grant E、Yusuf N
第一作者单位
Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35233, USA.United States
通讯作者单位
Department of Dermatology, University of Alabama at Birmingham, Birmingham, 1670 University Blvd., VH566A, Birmingham, AL 35294, USA.United States
文献类型
综述
期刊
Pharmaceuticals (Basel, Switzerland)2025 Jul 22
原文标识
PubMed 40872475 · DOI 10.3390/ph18081082