Wang Lei, Jin Xue-Ying, Zhu Li-Yuan, Wu Yu-Chen, Qiu Ru-Ning, Feng Li-Feng, Jin Hong-Chuan, Wang Jian-Fang
Department of Oncology, Shaoxing People's Hospital, The First Affiliated Hospital of Shaoxing University Shaoxing, Zhejiang, China.
Laboratory of Cancer Biology, Key Lab of Biotherapy in Zhejiang Province, Cancer Center of Zhejiang University, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University Hangzhou, Zhejiang, China.
Am J Cancer Res. 2025 Jul 15;15(7):2911-2931. doi: 10.62347/WJNA8774. eCollection 2025.
Lactylation, a post-translational modification derived from elevated lactate levels, has gained attention as a potential regulator of melanoma's tumor metabolism and immune responses. Here, we combined single-cell RNA sequencing and bulk transcriptome profiling of cutaneous melanoma samples to establish a lactation-centric prognostic model. Our analyses revealed melanocytes as the most acetylation-enriched cell population and identified a six-gene lactylation signature that stratified patients into high- and low-risk groups with distinct survival outcomes. Mechanistically, high-risk tumors demonstrated significant immunosuppressive features characterized by M2 macrophage accumulation and depleted CD8+ T-cell activity, corresponding to reduced sensitivity to certain chemotherapeutic drugs. Pathway enrichment studies implicated DNA repair, Hedgehog, and JAK-STAT signaling in driving the aggressive phenotype of high-acetylation tumors. Additionally, pseudotime trajectory analyses highlighted developmental shifts in gene expression related to lactylation during melanocyte differentiation. The signature demonstrated robust predictive accuracy in training, testing, and external validation cohorts. Functional validation confirmed the critical role of RAN in promoting proliferation and migration in vitro. These findings unveil lactylation as a critical epigenetic factor influencing melanoma progression and immune evasion, offering a novel prognostic framework and potential therapeutic targets for precision medicine.
乳酰化是一种由乳酸水平升高引起的翻译后修饰,作为黑色素瘤肿瘤代谢和免疫反应的潜在调节因子已受到关注。在此,我们结合皮肤黑色素瘤样本的单细胞RNA测序和批量转录组分析,建立了一个以乳酰化为中心的预后模型。我们的分析表明黑素细胞是乙酰化最丰富的细胞群体,并确定了一个六基因乳酰化特征,该特征将患者分为具有不同生存结果的高风险和低风险组。从机制上讲,高风险肿瘤表现出显著的免疫抑制特征,其特点是M2巨噬细胞积累和CD8 + T细胞活性降低,这与对某些化疗药物的敏感性降低相对应。通路富集研究表明DNA修复、刺猬信号通路和JAK - STAT信号通路在驱动高乙酰化肿瘤的侵袭性表型中起作用。此外,伪时间轨迹分析突出了黑素细胞分化过程中与乳酰化相关的基因表达的发育变化。该特征在训练、测试和外部验证队列中显示出强大的预测准确性。功能验证证实了RAN在体外促进增殖和迁移中的关键作用。这些发现揭示了乳酰化是影响黑色素瘤进展和免疫逃逸的关键表观遗传因素,为精准医学提供了一个新的预后框架和潜在的治疗靶点。