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相关概念视频

Targeted Cancer Therapies02:57

Targeted Cancer Therapies

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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
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Combination Therapies and Personalized Medicine02:50

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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...
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相关实验视频

Updated: Jan 10, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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桥梁发现和治疗:癌症生物标志物

Hengrui Liu1, Ilayda Karsidag2, Rebecca Golin3

  • 1Department of Biochemistry, University of Cambridge, Cambridge CB2 1QW, UK.

Cancers
|November 27, 2025
PubMed
概括

生物标志物正在通过实现个性化治疗来彻底改变癌症护理. 本综述涵盖了检测方法,转化挑战和人工智能驱动的解决方案,以改善患者的治疗结果并克服瘤异质性.

关键词:
癌症生物标志物 癌症生物标志物多学科技术的多学科技术.个性化医疗是个性化的医疗.精确瘤学 精确瘤学翻译研究是翻译研究.瘤异质性的异质性

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Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
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科学领域:

  • 在瘤学瘤学.
  • 生物标志物发现发现
  • 个性化医疗是个性化的医疗.

背景情况:

  • 生物标志物通过将分子信息与量身定制的治疗方法连接起来,显著提升了癌症护理.
  • 多种检测方式的整合对于全面的癌症分析至关重要.

研究的目的:

  • 审查当前癌症生物标志物检测模式的情况.
  • 批判性地评估阻碍生物标志物的临床实施的挑战.
  • 探索生物标志物开发和应用的新兴解决方案和未来方向.

主要方法:

  • 关于生物标志物检测技术的综合文献综述.
  • 分析临床实施中的翻译挑战.
  • 探索新兴技术和未来的研究方向.

主要成果:

  • 存在广泛的检测方式,包括组织基因组学,液体活检 (ctDNA,CTC,细胞外囊泡),成像/放射学和多组学.
  • 显著的翻译挑战阻碍了临床使用,例如测试标准化,数据集成,验证,监管障碍和成本.
  • 新兴的解决方案,如人工智能驱动的表型化,适应性试验和临床检测,显示出有希望的结果.

结论:

  • 生物标志物在指导向性和基于免疫的治疗中起着关键作用.
  • 解决转化挑战和利用新技术可以克服瘤异质性和耐药性.
  • 扩大获取和公平采用生物标志物导向的癌症护理对于改善患者的治疗结果至关重要.