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Updated: May 26, 2025

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

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空间单细胞蛋白质组学景观解码了瘤微环境生态系统的肝脏内胆固醇癌

Libing Hong¹, Jie Mei^2,3, Xuqi Sun¹

¹Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

Hepatology (Baltimore, Md.)

|February 25, 2025

概括

这项研究揭示了瘤微环境 (TME) 内肝胆管癌 (iCCA) 的空间模式显著影响患者的预后和免疫治疗反应. 人工智能辅助的空间多态学确定了关键的细胞相互作用,推动了结果和潜在的治疗目标.

科学领域:

在瘤学瘤学.
免疫学免疫学免疫学
生物信息学是一种生物信息学.

背景情况:

肝内胆管癌 (iCCA) 的预后和治疗受到瘤微环境 (TME) 的影响.
对iCCA TME的空间特征还没有很好地了解.
了解空间TME对于改善患者治疗结果至关重要.

研究的目的:

使用人工智能 (AI) 辅助的空间多态学,创建一个iCCA的全面空间地图集.
在iCCA中识别与预后和免疫治疗反应相关的空间TME特征.
开发iCCA患者结果的预测模型.

主要方法:

使用了空间多组学技术,包括成像质量细胞计,空间蛋白学,空间转录组学,多重免疫光学和单细胞RNA测序.
对超过106万个细胞进行分析,绘制细胞组成和相互作用的图.
从空间TME数据开发一个深度学习系统,用于从空间TME数据预测预后.

主要成果:

空间拓,细胞安排和细胞间通信与iCCA患者的预后有很强的相关性.
发现CD163和M2类巨细胞通过与CD8+T细胞相互作用来抑制抗瘤免疫力,导致生存率较差.
鉴定了五种不同的iCCA空间亚型,具有不同的预后,建议量身定制的治疗策略.

结论:

这项研究为iCCA的空间TME提供了基础的见解.
这些发现支持精确的患者分类和iCCA个性化治疗策略的开发.
开发的AI系统为iCCA中准确预测预后提供了一个新的工具.

关键词:

深度学习是一种深度学习.图像成像质量细胞计.巨细胞是一个巨细胞.空间特征是一个空间特征.空间分辨的蛋白质组学

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相关概念视频

The Tumor Microenvironment

The Tumor Microenvironment

Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...