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:Precision medicine in cutaneous melanoma-A comprehensive review.
Precision medicine in cutaneous melanoma-A comprehensive review.
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精准医疗旨在依据每位患者的个体特征制定治疗方案,首先需要进行详细诊断评估。皮肤黑色素瘤精准医疗已取得显著进展,部分方法已纳入临床实践和指南。例如,检测BRAF突变以指导BRAF/MEK靶向抑制剂治疗,已成为标准诊疗。对于NTRK融合或KIT突变等少见遗传改变的黑色素瘤,也越来越多地采用相应靶向治疗。这些进展显著改善了总生存期,尤其是转移性患者。其他创新方法,如基因表达谱(GEP)和循环肿瘤DNA(ctDNA)监测治疗应答,也已可用,但尚未纳入常规临床实践或广泛推荐的指南。同样,TIL(肿瘤浸润淋巴细胞)的应用仍局限于专科中心;个体化mRNA疫苗仍处于研究阶段,但有望推动黑色素瘤治疗未来发展。本综述概述黑色素瘤精准治疗和诊断的现有及新兴方法,涵盖分子和基因组分析、先进影像技术、生物标志物分层及人工智能驱动技术等重点领域。
Precision medicine aims to tailor medical treatment to the individual characteristics of each patient, beginning with detailed diagnostic assessments. In cutaneous melanoma, precision medicine has made considerable progress, with some approaches already implemented in clinical practice and guidelines. For instance, testing for BRAF mutations to guide the use of targeted BRAF/MEK inhibitor therapy is an established standard of care.
Even melanoma with rarer genetic alterations, such as NTRK fusions or KIT mutations, can increasingly be treated with specific targeted therapies. These advancements have translated into significant improvements in overall survival, especially in patients with metastatic disease. Other innovative approaches, such as gene expression profiling (GEP) and the use of circulating tumour DNA (ctDNA) for monitoring treatment response, are already available.
However, they are not yet part of routine clinical care or broadly recommended in guidelines. Likewise, the use of tumour-infiltrating lymphocytes (TIL) remains limited to specialized centres, and tailor-made mRNA vaccines are still in the investigational phase but hold great promise for the future of melanoma therapy.
This review provides an overview of current and emerging approaches in precision therapy and diagnostics for melanoma, encompassing key areas such as molecular and genomic profiling, advanced imaging techniques, biomarker-based stratification and AI-driven technologies.
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