空间和单细胞转录学 揭开了乳头甲状腺癌的空间演变
Guangzhe Zheng1, Shaobo Chen2, Wanqi Ma1
1Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|November 14, 2024
概括
乳头甲状腺癌 (PTC) 的复发和转移是通过整合单细胞RNA测序和空间解析的转录组学来解决的. 这种方法揭示了PTC进化途径,并确定了改善患者结果的诊断标记.
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:
- 乳头甲状腺癌 (PTC) 的复发和转移带来了重大的临床挑战.
- 目前的诊断方法缺乏变异特异性形态标准,并且在基于突变的方法中存在高的信号噪声比.
- 对于理解癌症进展至关重要的瘤内异质性,在传统的分子分类中经常被忽视.
研究的目的:
- 整合单细胞RNA测序 (scRNA-seq) 和空间解析转录组学 (SRT) 进行PTC的综合分析.
- 通过将转录组数据与局部形态学联系起来,阐明推动PTC空间异质性,恶性瘤和转移的机制.
- 开发基于单细胞和空间分析的PTC改进的诊断策略.
主要方法:
- 集成scRNA-seq以捕获单个细胞的转录组.
- 应用SRT来保留空间信息和形态上下文.
- 对具有形态特征的转录基因数据进行比较分析,以了解瘤演变.
- 识别与恶性瘤和转移相关的分子足迹.
主要成果:
- PTC细胞表现出由增强的有氧代谢和抑制的蛋白质合成驱动的多样化的进化路径.
- 细胞与细胞的相互作用在PTC进展中起作用.
- 确定了两种不同的恶性和转移性分子特征,以区分PTC细胞与正常甲状腺细胞.
- 发现对铁亡的抵抗是PTC进化的一个因素.
结论:
- 该研究促进了对瘤内空间异质性和PTC在单细胞和空间层面的演变的理解.
- 这些发现为开发对乳头甲状腺癌更精确的诊断和预后策略提供了基础.
- 整合转录和空间数据提供了一种强大的方法来剖析复杂的瘤生物学.
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