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相关概念视频

The Tumor Microenvironment02:17

The Tumor Microenvironment

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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...
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Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
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通过空间转录学和机器学习,探索NSCLC中的瘤微环境相互作用和亡途径.

Huimin Li1, Yuheng Jiao2, Yi Zhang3

  • 1Department of Internal Medicine Residency Training Base, Gongli Hospital of Shanghai Pudong New Area, Shanghai, 200135, China.

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概括
此摘要是机器生成的。

编程细胞死亡 (PCD) 途径与非小细胞肺癌 (NSCLC) 的亡和转移有关. 基因SLC7A5被确定为预后指标和潜在的治疗点,用于增强NSCLC的亡.

关键词:
生物标志物生物标志物细胞亡是细胞的亡.在SLC7A5A5A5A5A5A5A5A5A5A5A5A5单细胞RNA测序的一个细胞.空间转录组学 空间转录组学

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科学领域:

  • 在瘤学瘤学.
  • 分子生物学分子生物学
  • 遗传学 遗传学 是一个

背景情况:

  • 非小细胞肺癌 (NSCLC) 是最常见的肺恶性瘤.
  • 编程细胞死亡 (PCD) 对于细胞存活和平衡至关重要,在癌症研究中越来越重要.
  • 在NSCLC中研究PCD可能会揭示新的治疗策略.

研究的目的:

  • 探索编程细胞死亡 (PCD) 在非小细胞肺癌 (NSCLC) 中的作用和机制.
  • 确定与PCD在NSCLC中的因果关系的基因及其预后意义.
  • 评估SLC7A5作为NSCLC的潜在治疗点.

主要方法:

  • 使用GEO和TCGA数据库进行NSCLC基因表达分析.
  • 采用单细胞测序和空间转录组学研究PCD机制和瘤微环境相互作用.
  • 应用孟德尔随机化,用于预后建模的机器学习,以及体外实验.

主要成果:

  • 在NSCLC细胞中高PCD活性与细胞亡,细胞迁移和缺氧通路相关.
  • 基于PCD基因的预后模型 (NSCLCPCD) 显示出强大的预测能力.
  • SLC7A5促进NSCLC的扩散,它的淘汰会增强瘤细胞的亡.

结论:

  • 在NSCLC中,编程细胞死亡与亡,转移和缺氧有关.
  • SLC7A5是NSCLC的一个重要预后指标.
  • 在NSCLC中,SLC7A5代表了一个潜在的治疗点,用于增加NSCLC的亡.