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相关概念视频

Tumor Progression02:07

Tumor Progression

6.2K
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...
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Tumor Immunotherapy01:27

Tumor Immunotherapy

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Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
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相关实验视频

Updated: May 27, 2025

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
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瘤AgDB1.0:瘤新抗原数据库平台

Yan Shao1, Yang Gao2, Ling-Yu Wu1

  • 1School of Medical Infand Engineering, Xuzhou Medical University, No. 209, Tongshan Road, Yunlong District, Xuzhou, Jiangsu 221004, China.

Database : the journal of biological databases and curation
|February 19, 2025
PubMed
概括

这项研究介绍了TumorAgDB1.0,这是一个针对瘤新抗原的综合数据库,解决了癌症免疫疗法的挑战. 它通过整合研究人员的数据和工具来增强新抗原免疫性预测.

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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
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Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

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相关实验视频

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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:

  • 癌症免疫疗法,特别是基于新抗原的疗法,显示出显著的临床前景.
  • 准确预测新抗原免疫性至关重要,但由于数据稀缺和工具限制而受到阻碍.

研究的目的:

  • 为应对新抗原免疫性预测方面的挑战.
  • 开发一个全面的瘤新抗原数据库 (TumorAgDB1.0).
  • 为新抗原数据访问和分析提供一个用户友好的平台.

主要方法:

  • 从公共来源收集和组织免疫新抗原数据.
  • 分析数据以确定免疫性预测的关键特征.
  • 将现有的预测工具集成到统一的数据库中.

主要成果:

  • 开发了TumorAgDB1.0,一个全面的瘤新抗原数据库.
  • 该数据库提供高效的数据搜索,详细的新抗原特征和免疫性预测工具.
  • 包括研究人员的数据下载功能.

结论:

  • TumorAgDB1.0是瘤免疫治疗中新抗原查和验证的宝贵资源.
  • 该数据库支持新抗原免疫性预测工具的开发和改进.
  • 为该领域的研究人员提供了强有力的支持.