多omics分析揭示了初级和转移性食道状细胞癌的空间异质性
Haitao Huang1,2, Na Li3, Yingkuan Liang4
1Department of Thoracic Surgery, the First Affiliated Hospital of Soochow University, Suzhou, China.
Clinical and translational medicine
|November 27, 2023
概括
食道状细胞癌 (ESCC) 的空间异质性会影响治疗. 分析瘤和淋巴结样本揭示了显著的分子差异,这表明目前的活检不足以用于精准医学.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 免疫学 免疫学 免疫学
背景情况:
- 从原发性食道状细胞癌 (ESCC) 的活检对诊断和治疗至关重要.
- 空间瘤内异质性 (ITH) 影响了活检的准确性和患者对治疗的反应.
- 了解ESCC的空间ITH和淋巴结转移 (LNmet) 是至关重要的.
研究的目的:
- 阐明ESCC中的空间瘤内异质性 (ITH).
- 为了比较原发性瘤子区域的分子概况和匹配的淋巴结转移 (LNmet).
主要方法:
- 整体外体序列 (WES),全转录组序列和数字空间概况 (DSP) 用于主要瘤表面 (PTsup),深 (PTdeep) 和LNmet亚区域.
- 免疫组织化学和单细胞转录组分析验证了这些发现.
- 综合了多个学科的数据来分析空间异质性.
主要成果:
- 在PTsup (15.72%),PTdeep (5.02%) 和LNmet (32.00%) 中发现了显著的独特突变.
- 副本数量变化和遗传学分析表明,患者内和患者之间存在空间ITH.
- 与PT相比,LNmet显示免疫调节基因表达升高,免疫细胞丰富 (P <.05).
- DSP证实了蛋白质和免疫细胞丰度的空间差异.
- 综合性分析显示了mRNA/蛋白质水平和免疫细胞分布的复杂异质性.
结论:
- 这项研究全面描述了ESCC中的空间ITH,突出了其临床意义.
- 使用多omics数据进行公正的分子分类可以改善ESCC的理解和管理.
- 目前的组织采样对于ESCC精密医学是不够的;建议对PT深和/或LNmet进行分析,以获得全面的见解和明智的治疗决策.
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