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相关概念视频

Tumor Progression02:07

Tumor Progression

6.4K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.4K
Cancer Survival Analysis01:21

Cancer Survival Analysis

384
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...
384
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

7.5K
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.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
7.5K
Cancers Originate from Somatic Mutations in a Single Cell02:21

Cancers Originate from Somatic Mutations in a Single Cell

12.0K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
12.0K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.9K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.9K

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相关实验视频

Updated: Jul 20, 2025

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

6.8K

开发癌症亚型分类问题的标签传播方法.

Pınar Güner1, Burcu Bakir-Gungor1, Mustafa Coşkun1

  • 1Department of Computer Engineering, Faculty of Engineering, Abdullah Gül University, Kayseri, Turkey.

Turkish journal of biology = Turk biyoloji dergisi
|August 3, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的无监督方法,用于使用数值代数来发现癌症亚型. 该方法有效地分层瘤,优于精准医学应用的现有方法.

关键词:
癌症亚型 癌症亚型生物信息学是一种生物信息学.标签传播 标签传播机器学习是机器学习.个性化医疗是个性化的医疗.

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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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Labeling of Breast Cancer Patient-derived Xenografts with Traceable Reporters for Tumor Growth and Metastasis Studies
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Labeling of Breast Cancer Patient-derived Xenografts with Traceable Reporters for Tumor Growth and Metastasis Studies

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相关实验视频

Last Updated: Jul 20, 2025

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

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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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Labeling of Breast Cancer Patient-derived Xenografts with Traceable Reporters for Tumor Growth and Metastasis Studies
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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 在瘤学瘤学.

背景情况:

  • 癌症表现出各种各样的亚型,需要量身定制的治疗,以获得有效的精准医学.
  • 识别不同的癌症亚型对于开发向疗法至关重要.
  • 目前用于癌症分层的计算方法经常与稀疏的数据作斗争,导致条件不良的解决方案.

研究的目的:

  • 提出一种无监督的计算方法,用于将癌症患者分为各个亚型.
  • 解决处理稀疏基因组数据的现有方法的局限性.
  • 为了提高精确医学瘤分类的准确性.

主要方法:

  • 应用数字代数技术,特别是基于标签传播的方法.
  • 从结肠,头,子宫,膀和乳腺瘤中分层体质突变的概况.
  • 将拟议的方法与基线无监督和监督方法进行比较.

主要成果:

  • 拟议的标签传播方法有效地将癌症患者分为各个亚型.
  • 与最先进的方法相比,该方法在瘤分类任务中表现出更高的性能.
  • 该方法成功地解决了癌症突变档案中稀疏数据的挑战.

结论:

  • 这种新的无监督方法为癌症亚型的发现提供了一个强大的解决方案.
  • 这种方法对通过改进瘤分类来推进精准医学具有重大意义.
  • 标签传播技术为分析复杂的癌症基因组数据提供了一个强大的工具.