在前列腺癌进展过程中解读单细胞异质性和细胞生态系统动态
bioRxiv : the preprint server for biology
|January 7, 2025
概括
这项研究使用前列腺癌细胞图谱 (PCCAT) 绘制前列腺癌 (PC) 细胞进化图,揭示了与进展,胺胺耐药性和晚期疾病不良预后相关的细胞状态.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 细胞生物学 细胞生物学
背景情况:
- 前列腺癌 (PC) 的进展涉及复杂的细胞变化和表型可塑性,特别是在治疗压力下.
- 有限的高分辨率数据存在于PC阶段的细胞表型演变.
- 了解这些动态对于开发有效的治疗方法至关重要.
研究的目的:
- 创建一个全面的前列腺癌单细胞地图 (PCCAT).
- 剖析细胞格局并确定与PC进展和预后相关的细胞类型.
- 描述驱动治疗耐药性和免疫抑制的细胞状态.
主要方法:
- 整合了来自197个人类前列腺癌样本的约71万个细胞的单细胞数据.
- 对各种瘤阶段的分析,从前恶性病变到抵抗割的疾病.
- 识别关键细胞类型,分子特征和空间.
主要成果:
- 具有高MHC表达,低雄激素受体 (AR) 活性和干性恶性细胞的特征,与恩扎胺耐药性相关.
- 鉴定与不良预后相关的血统可塑性样恶性细胞 (LPC),神经内分泌瘤细胞,细胞周细胞和基因癌相关纤维细胞 (mCAF).
- 发现高级PC中免疫抑制细胞状态,包括调节性T细胞,耗尽的CD8+T细胞和SPP1表达性巨细胞.
- 在瘤边界确定mCAFs和SPP1+巨细胞的空间利基,与预后不佳相关.
结论:
- 前列腺癌细胞地图 (PCCAT) 为了解PC进展提供了一个高分辨率的资源.
- 特定的细胞状态及其空间组织是PC进展,耐药性和不良结果的关键驱动因素.
- 对瘤微环境的洞察力为晚期前列腺癌提供了潜在的治疗点.
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