免疫检查点阻断通过扩增效应 CD8⁺ T 细胞克隆增强淋巴细胞清除性化疗诱导的抗肿瘤免疫
Immune Checkpoint Blockade Augments Lymphodepleting Chemotherapy-Induced Antitumor Immunity by Expanding Effector CD8+ T-cell Clones.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Rethinking Immunotherapy Resistance in Melanoma: A Narrative Review of Clinical Patterns, Resistance Mechanisms, and Future Strategies.
Rethinking Immunotherapy Resistance in Melanoma: A Narrative Review of Clinical Patterns, Resistance Mechanisms, and Future Strategies.
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对PubMed、Web of Science和ClinicalTrials.gov进行结构化检索,确定了2010年1月至2026年5月发表的相关研究,并补充了此前的里程碑式报告。
免疫治疗耐药涵盖异质性模式,包括早期进展、寡进展、分离反应、脑主导进展、缓解后复发以及治疗中断后进展。这些临床表型源于相互重叠的机制,如抗原呈递缺失、干扰素信号受损、致癌性免疫排斥、黑色素瘤去分化、抑制性髓系和调节性T细胞程序、基质和血管屏障、代谢限制以及肿瘤反应性T细胞克隆的恶化。传统疗效评价标准和静态生物标志物,包括PD-L1表达和肿瘤突变负荷,无法充分捕捉这种复杂性,因为耐药在不同病灶间存在差异,并在治疗压力下不断演变。IDO1抑制、细胞因子强化、疫苗和瘤内免疫刺激的阴性试验进一步表明,当靶点结合、患者富集和终点选择不充分时,生物学合理性和早期活性并不能保证临床获益。
黑色素瘤中的免疫治疗耐药应被视为多种生物学上不同的临床状态,而非单一终点。未来的进展将需要耐药匹配治疗、纵向组织和循环肿瘤 DNA 评估、适应性试验设计以及与治疗动力学一致的终点。该框架可能改善临床实践中 post-PD-1 研究的挽救选择与解读。
Background/Objectives : Immune checkpoint inhibitors have revolutionized the treatment of advanced melanoma, yet primary and acquired resistance remain major barriers to durable disease control. This narrative review examines the clinical patterns, biological mechanisms, biomarker limitations, and therapeutic implications of immunotherapy failure. Methods : A structured search of PubMed, Web of Science, and ClinicalTrials. gov identified relevant studies published from January 2010 to May 2026, supplemented by landmark earlier reports. Results : Immunotherapy resistance encompasses heterogeneous patterns, including early progression, oligoprogression, dissociated response, brain-dominant progression, relapse after response, and progression after treatment discontinuation. These clinical phenotypes arise from overlapping mechanisms such as loss of antigen presentation, impaired interferon signaling, oncogenic immune exclusion, melanoma dedifferentiation, suppressive myeloid and regulatory T-cell programs, stromal and vascular barriers, metabolic restriction, and deterioration of tumor-reactive T-cell clones.
Conventional response criteria and static biomarkers, including PD-L1 expression and tumor mutational burden, do not adequately capture this complexity because resistance varies across lesions and evolves under treatment pressure. Negative trials of IDO1 inhibition, cytokine intensification, vaccines, and intratumoral immune stimulation further show that biological plausibility and early activity do not guarantee clinical benefit when target engagement, patient enrichment, and endpoint selection are inadequate.
Conclusions : Immunotherapy resistance in melanoma should be viewed as a variety of biologically distinct clinical states rather than a single endpoint. Future progress will require resistance-matched treatment, longitudinal tissue and circulating tumor DNA assessment, adaptive trial designs, and endpoints aligned with treatment kinetics. This framework may improve salvage selection and interpretation of post-PD-1 studies in clinical practice.
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