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相关概念视频

Cancer02:18

Cancer

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Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
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What is Cancer?02:12

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Cells and tissues must meticulously coordinate their activities for the normal functioning of the human body. Therefore, they exhibit socially responsible behavior - resting, growing, dividing, differentiating, or dying - for the organism’s benefit. Cancer arises when cells divide uncontrollably and invade other tissues or organs.
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Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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Cancer-Critical Genes II: Tumor Suppressor Genes01:05

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Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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定义癌症依赖地图

Aviad Tsherniak1, Francisca Vazquez2, Phil G Montgomery1

  • 1Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA, USA.

Cell
|July 29, 2017
PubMed
概括
此摘要是机器生成的。

研究人员通过基因组尺度选, 在多种癌细胞系中发现了769个必需基因. 预测模型揭示了大多数癌症依赖性的基于表达的生物标志物,有助于治疗目标优先.

关键词:
RNAi屏幕癌症的依赖癌症的目标遗传上的脆弱性基因组生物标志物精准医学预测模型种子效应在 shRNA

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科学领域:

  • 癌症研究
  • 基因组学
  • 分子生物学

背景情况:

  • 人类上皮瘤具有众多的遗传变异,使瘤生存必需基因的识别复杂化.
  • 系统地确定癌症依赖性对于开发有效的癌症疗法至关重要.

研究的目的:

  • 系统地识别人类癌症细胞系的生存所必需的基因.
  • 使用分子特征开发癌症依赖性的预测模型.
  • 建立一个癌症依赖地图的基础, 以优先考虑治疗目标.

主要方法:

  • 在人类癌细胞系中对501个基因组尺度功能丧失查进行分析.
  • 开发DEMETER分析框架,以区分目标和非目标RNAi效应.
  • 使用66646个分子特征进行非线性回归建模的应用,以构建基因依赖性的预测模型.

主要成果:

  • 在癌症细胞系中差异性要求的769个基因的识别.
  • 对426个 (55%) 已确定依赖性的预测模型的开发.
  • 发现基于表达的生物标志物在82%的模型中是主要的预测因素.
  • 一个预测模型的演示,将UBB基因高甲基化与UBC依赖性联系起来.

结论:

  • 这项研究对大量细胞系的癌症依赖性进行了全面分析.
  • 基于表达的生物标志物是癌症依赖性的关键预测因素,为治疗策略提供了洞察力.
  • 这些发现为制定癌症依赖地图奠定了基础,