黑色素瘤细胞亚群对程序性细胞死亡的抑制揭示了黑色素瘤转移的机制和潜在的治疗靶点。

IF 2.8 4区 医学 Q3 ENDOCRINOLOGY & METABOLISM Discover. Oncology Pub Date : 2025-01-20 DOI:10.1007/s12672-025-01789-9
Yuepeng An, Fu Zhao, Hongling Jia, Siyu Meng, Ziwei Zhang, Shuxiao Li, Jiusi Zhao
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引用次数: 0

摘要

黑色素瘤是一种侵袭性皮肤癌,由黑色素细胞引起,黑色素细胞负责产生皮肤色素。与基底细胞癌和鳞状细胞癌等非黑色素瘤皮肤癌相比,黑色素瘤更具侵袭性。黑色素瘤的特点是其快速进展,高转移潜力,和显著抵抗传统治疗。尽管黑色素瘤在皮肤癌病例中所占比例很小,但由于黑色素瘤能够侵入深层组织,适应多种微环境,并逃避免疫反应,因此它在皮肤癌死亡中占大多数。这些独特的特征突出了治疗黑色素瘤的挑战,并强调了先进工具的重要性,如单细胞测序,以揭示其生物学和开发个性化的治疗策略。因此,我们对黑色素瘤肿瘤组织内的细胞组成进行了单细胞分析,并进一步将黑色素瘤细胞细分为亚群。通过分析不同时期细胞(G1、G2/M和S)以及原发灶和转移灶细胞之间的代谢途径、干性基因和转录因子(TFs),我们探讨了黑色素瘤转移的具体机制。我们还重新审视了黑色素瘤细胞亚群的细胞干性和时间轨迹,确定了核心亚群为C0 SOD3 +黑色素瘤细胞。我们的研究结果揭示了转移性肿瘤组织中关键的C0 SOD3 +黑色素瘤细胞亚群与氧化途径之间的密切关系。此外,我们分析了C0 SOD3 +黑色素瘤细胞亚群中与预后相关的差异表达基因(DEGs),并建立了与黑色素瘤预后相关的预测模型。我们选择了系数(coef)值最高的IGF1基因进行进一步分析,并通过实验验证了其在黑色素瘤增殖和侵袭转移中的重要作用。在免疫浸润分析中,我们发现了M1/M2巨噬细胞在黑色素瘤的进展和免疫逃避中发挥的关键作用。此外,恶性黑色素瘤的发生和发展与多种形式的程序性细胞死亡(PCD)密切相关,包括细胞凋亡、自噬细胞死亡、铁死亡和焦亡。黑色素瘤细胞通常抵抗细胞死亡机制,通过抑制细胞凋亡和逃避细胞自噬死亡来维持其生长。同时,铁下垂和焦下垂的诱导被认为可以触发有助于抑制黑色素瘤传播的免疫反应。深入了解黑色素瘤和PCD通路之间的关系,为开发新的靶向治疗方法提供了重要的基础,有可能提高黑色素瘤的治疗效果。这些发现有助于建立新的黑色素瘤预后模型,并为黑色素瘤转移机制和治疗靶点的研究指明方向。
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Inhibition of programmed cell death by melanoma cell subpopulations reveals mechanisms of melanoma metastasis and potential therapeutic targets.

Melanoma is an aggressive type of skin cancer that arises from melanocytes, the cells responsible for producing skin pigment. In contrast to non-melanoma skin cancers like basal cell carcinoma and squamous cell carcinoma, melanoma is more invasive. Melanoma was distinguished by its rapid progression, high metastatic potential, and significant resistance to conventional therapies. Although it accounted for a small proportion of skin cancer cases, melanoma accounts for the majority of deaths caused by skin cancer due to its ability to invade deep tissues, adapt to diverse microenvironments, and evade immune responses. These unique features highlighted the challenges of treating melanoma and underscored the importance of advanced tools, such as single-cell sequencing, to unravel its biology and develop personalized therapeutic strategies. Thus, we conducted a single-cell analysis of the cellular composition within melanoma tumor tissues and further subdivided melanoma cells into subpopulations. Through analyzing metabolic pathways, stemness genes, and transcription factors (TFs) among cells in different phases (G1, G2/M, and S) as well as between primary and metastatic foci cells, we investigated the specific mechanisms underlying melanoma metastasis. We also revisited the cellular stemness and temporal trajectories of melanoma cell subpopulations, identifying the core subpopulation as C0 SOD3 + Melanoma cells. Our findings revealed a close relationship between the pivotal C0 SOD3 + Melanoma cells subpopulation and oxidative pathways in metastatic tumor tissues. Additionally, we analyzed prognostically relevant differentially expressed genes (DEGs) within the C0 SOD3 + Melanoma cells subpopulation and built a predictive model associated with melanoma outcomes. We selected the gene IGF1 with the highest coefficient (coef) value for further analysis, and experimentally validated its essential function in the proliferation and invasive metastasis of melanoma. In immune infiltration analysis, we discovered the critical roles played by M1/M2 macrophages in melanoma progression and immune evasion. Furthermore, the development and progression of malignant melanoma were closely associated with various forms of programmed cell death (PCD), including apoptosis, autophagic cell death, ferroptosis, and pyroptosis. Melanoma cells often resisted cell death mechanisms, maintaining their growth by inhibiting apoptosis and evading autophagic cell death. Meanwhile, the induction of ferroptosis and pyroptosis was thought to trigger immune responses that helped suppress melanoma dissemination. A deeper understanding of the relationship between melanoma and PCD pathways provided a critical foundation for developing novel targeted therapies, with the potential to enhance melanoma treatment efficacy. These findings contributed to the development of novel prognostic models for melanoma and shed light on research directions concerning melanoma metastasis mechanisms and therapeutic targets.

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来源期刊
Discover. Oncology
Discover. Oncology Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
2.40
自引率
9.10%
发文量
122
审稿时长
5 weeks
期刊最新文献
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