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治疗性黑色素瘤疫苗:平台、新抗原策略及新兴联合免疫疗法

英文原题:Therapeutic melanoma vaccines: Platforms, neoantigen strategies, and emerging combination immunotherapies.

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Therapeutic melanoma vaccines: Platforms, neoantigen strategies, and emerging combination immunotherapies.

PubMed 2026/09/09(内容时间) Ther Adv Vaccines Immunother

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中文摘要

黑色素瘤因其高度免疫原性和对免疫治疗的应答性,已成为癌症免疫治疗研究的主要焦点。治疗性黑色素瘤疫苗旨在通过递送肿瘤相关抗原(TAAs)、肿瘤特异性抗原(TSAs)和个性化新抗原,刺激肿瘤特异性免疫应答。本叙述性综述概述了当前的黑色素瘤疫苗策略,包括肽基疫苗、树突状细胞疫苗、核酸基平台如 mRNA、DNA 和病毒载体疫苗。疫苗工程和肿瘤基因组学的最新进展加速了能够靶向个体肿瘤特有突变的个性化新抗原疫苗的开发。与此同时,人工智能(AI)和机器学习(ML)正越来越多地被纳入新抗原识别流程,以改善表位预测并优化疫苗设计。涉及免疫检查点抑制剂(ICIs)的联合策略,特别是抗 PD-1 和抗 CTLA-4 治疗,通过帮助克服肿瘤诱导的免疫抑制并增强 T 细胞活化,进一步提升了人们对黑色素瘤疫苗的兴趣。除综述疫苗机制和新兴技术外,本文还通过分析在 ClinicalTrials.gov 注册的黑色素瘤疫苗研究,考察了不断演变的临床试验格局。尽管许多研究报告了令人鼓舞的安全性和免疫原性发现,但与肿瘤异质性、免疫逃逸、生物标志物选择和生产复杂性相关的挑战仍限制着广泛的临床实施。计算免疫学、生物材料工程和精准肿瘤学的持续进展有望进一步完善黑色素瘤疫苗的开发并提高治疗效果。

总体而言,这些创新可能有助于使黑色素瘤疫苗成为未来个性化癌症免疫治疗策略中日益重要的组成部分。黑色素瘤是一种严重的皮肤癌,可迅速扩散并危及生命。与许多其他癌症不同,黑色素瘤通常能被免疫系统识别,这促使科学家探索训练机体更好地对抗它的方法。一种有前景的方法是使用治疗性疫苗,其目的不是预防疾病,而是帮助免疫系统检测并摧毁癌细胞。本综述解释了目前正在研究的不同类型黑色素瘤疫苗。这些包括由遗传物质、蛋白质小片段、减毒病毒或免疫细胞制成的疫苗。每种方法都旨在教会免疫系统识别黑色素瘤细胞上的标志物并更有效地攻击它们。一种更新且令人兴奋的策略涉及个性化疫苗。这些疫苗根据个体患者肿瘤中发现的独特变化进行设计,使治疗更具特异性并可能更有效。人工智能的进步正在帮助研究人员更快、更准确地识别这些靶点。本综述还讨论了将疫苗与其他治疗相结合,尤其是那些去除免疫系统“刹车”的药物,使其能够对癌症产生更强的反应。早期研究表明,此类联合治疗可能改善患者预后。尽管这些方法前景广阔,但仍存在挑战,包括提高这些疫苗在患者中的有效性。持续的研究可能在未来为黑色素瘤带来更有效和个性化的治疗。

展开英文摘要原文

Melanoma has emerged as a major focus of cancer immunotherapy research because of its highly immunogenic nature and responsiveness to immune-based treatments. Therapeutic melanoma vaccines are designed to stimulate tumor-specific immune responses through the delivery of Tumor-Associated Antigens (TAAs), Tumor-Specific Antigens (TSAs), and personalized neoantigens. This narrative review provides an overview of current melanoma vaccine strategies, including peptide-based vaccines, dendritic cell vaccines, nucleic acid-based platforms such as mRNA, DNA, and viral vector vaccines.

Recent advances in vaccine engineering and tumor genomics have accelerated the development of personalized neoantigen vaccines capable of targeting mutations unique to individual tumors. In parallel, Artificial Intelligence (AI) and Machine Learning (ML) are increasingly being incorporated into neoantigen identification pipelines to improve epitope prediction and optimize vaccine design.

Combination strategies involving Immune Checkpoint Inhibitors (ICIs), particularly anti-PD-1 and anti-CTLA-4 therapies, have further enhanced interest in melanoma vaccines by helping overcome tumor-induced immune suppression and augment T-cell activation.

In addition to reviewing vaccine mechanisms and emerging technologies, this manuscript examines the evolving clinical trial landscape through analysis of melanoma vaccine studies registered on ClinicalTrials. gov. Although many studies have reported encouraging safety and immunogenicity findings, challenges related to tumor heterogeneity, immune evasion, biomarker selection, and manufacturing complexity continue to limit widespread clinical implementation. Ongoing advances in computational immunology, biomaterial engineering, and precision oncology are expected to further refine melanoma vaccine development and improve therapeutic efficacy. Collectively, these innovations may help establish melanoma vaccines as an increasingly important component of future personalized cancer immunotherapy strategies. Melanoma is a serious type of skin cancer that can spread quickly and become life-threatening. Unlike many other cancers, melanoma can often be recognized by the immune system, which has led scientists to explore ways to train the body to better fight it. One promising approach is the use of therapeutic vaccines, which are designed not to prevent disease, but to help the immune system detect and destroy cancer cells.

This review explains the different types of vaccines currently being studied for melanoma. These include vaccines made from genetic material, small pieces of proteins, weakened viruses, or immune cells. Each of these approaches aims to teach the immune system to recognize markers found on melanoma cells and attack them more effectively. A newer and exciting strategy involves personalized vaccines. These are designed based on unique changes found in an individual patient’s tumor, making the treatment more specific and potentially more effective.

Advances in artificial intelligence are helping researchers identify these targets more quickly and accurately. The review also discusses combining vaccines with other treatments, especially drugs that remove the “brakes” from the immune system, allowing it to respond more strongly to cancer.

Early research shows that such combinations may improve patient outcomes. Although these approaches are promising, challenges remain, including improving how well these vaccines work in patients. Continued research may lead to more effective and personalized treatments for melanoma in the future.

论文信息

作者
Mhanna D、Salman B、El Hakim R、Aridi L、Abou Ali W、Al Halabi B、Faour V、Harb F
单位
Department of Biomedical Sciences, Faculty of Medicine and Medical Sciences, University of Balamand, Al-Koura, Tripoli, Lebanon.United States
文献类型
综述
期刊
Therapeutic advances in vaccines and immunotherapy2026
原文标识
PubMed 42724148 · DOI 10.1177/25151355261488241