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小细胞肺癌免疫治疗反应的候选生物标志物

Candidate Biomarker of Response to Immunotherapy In Small Cell Lung Cancer.

作者信息

Shen Yili, Liu Zhicong, Chen Yi, Shi Xuefei, Dong Shunli, Wang Bin

机构信息

Department of Respiratory Medicine, Huzhou Central Hospital, Affiliated Central Hospital, Huzhou University, Huzhou, Zhejiang, China.

Huzhou Key Laboratory of Precision Diagnosis and Treatment in Respiratory Diseases, Huzhou Central Hospital, Huzhou, Zhejiang, China.

出版信息

Curr Treat Options Oncol. 2025 Feb;26(2):73-83. doi: 10.1007/s11864-025-01292-x. Epub 2025 Jan 22.

DOI:10.1007/s11864-025-01292-x
PMID:39841387
Abstract

Small-cell lung cancer accounts for about 15% of lung cancers with an extremely poor prognosis. The incorporation of immunotherapy to platinum-based chemotherapy offers sustained overall survival benefits and become the standard for the first-line setting of extensive-stage small-cell lung cancer. However, only a limited number of patients derive prolonged benefits. Although novel immunomodulatory agents and combination strategies are currently under investigation, identifying patients who are likely to obtain clinical benefits from this therapeutic approach is urgently needed. The modest therapeutic response to immunotherapy can be explained by various mechanisms. Traditional biomarkers do not guide immunotherapeutic decision-making in small-cell lung cancer. Notably, recent progress in the understanding of the molecular typing of small-cell lung cancer based on multi-omics data might bring new sights. This review summarizes the potential biomarkers for small-cell lung cancer immunotherapy based on clinical trials and preclinical studies. Moreover, important constraints in identifying biomarkers for small-cell lung cancer treatment are discussed.

摘要

小细胞肺癌约占肺癌的15%,预后极差。免疫疗法联合铂类化疗可带来持续的总生存获益,并成为广泛期小细胞肺癌一线治疗的标准。然而,只有少数患者能获得长期获益。尽管目前正在研究新型免疫调节剂和联合治疗策略,但迫切需要确定哪些患者可能从这种治疗方法中获得临床益处。免疫疗法治疗反应有限可由多种机制解释。传统生物标志物无法指导小细胞肺癌的免疫治疗决策。值得注意的是,基于多组学数据对小细胞肺癌分子分型的最新认识进展可能带来新的见解。本综述基于临床试验和临床前研究总结了小细胞肺癌免疫治疗的潜在生物标志物。此外,还讨论了小细胞肺癌治疗生物标志物识别中的重要限制因素。

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本文引用的文献

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Self-improving generative foundation model for synthetic medical image generation and clinical applications.用于合成医学图像生成和临床应用的自我改进生成基础模型。
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Inhibiting SNX10 induces autophagy to suppress invasion and EMT and inhibits the PI3K/AKT pathway in cervical cancer.抑制分选连接蛋白10(SNX10)可诱导自噬,以抑制宫颈癌的侵袭和上皮-间质转化(EMT),并抑制PI3K/AKT信号通路。
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局限期小细胞肺癌放化疗后应用度伐利尤单抗。
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Molecular classification and biomarkers of outcome with immunotherapy in extensive-stage small-cell lung cancer: analyses of the CASPIAN phase 3 study.广泛期小细胞肺癌免疫治疗的分子分类和预后标志物:CASPIAN 三期研究分析。
Mol Cancer. 2024 May 30;23(1):115. doi: 10.1186/s12943-024-02014-x.
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Tislelizumab Plus Platinum and Etoposide Versus Placebo Plus Platinum and Etoposide as First-Line Treatment for Extensive-Stage SCLC (RATIONALE-312): A Multicenter, Double-Blind, Placebo-Controlled, Randomized, Phase 3 Clinical Trial.替雷利珠单抗联合铂类和依托泊苷对比安慰剂联合铂类和依托泊苷一线治疗广泛期小细胞肺癌(RATIONALE-312):一项多中心、双盲、安慰剂对照、随机、III 期临床研究。
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N Engl J Med. 2023 Nov 30;389(22):2063-2075. doi: 10.1056/NEJMoa2307980. Epub 2023 Oct 20.
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