相关实验视频

Updated: Jul 14, 2026

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

Published on: August 1, 2018

三重阴性乳腺癌的预后意义和分子分类:系统性审查

Ashok Kumar Dogra¹, Archana Prakash², Sanjay Gupta³

¹Department of Biochemistry, Government Medical College, Srinagar, India.

European journal of breast health

|March 3, 2025

概括

三阴性乳腺癌 (TNBC) 的分子亚型显著影响预后和治疗. 在个性化治疗中识别基底类和免疫调节辅助剂等亚型,以获得更好的患者结果.

科学领域:

在瘤学瘤学.
遗传学是一个遗传学.
分子生物学分子生物学

背景情况:

三阴性乳腺癌 (TNBC) 是具有侵略性的,缺乏标准的治疗点.
转基因乳腺癌占乳腺癌的15-20%,预后不佳,复发率高.
分子亚型对理解TNBC异质性和指导治疗至关重要.

研究的目的:

系统地审查TNBC分子亚型的预后意义.
评估这些亚型对治疗管理的影响.
确定改善TNBC治疗策略的关键生物标志物.

主要方法:

在PubMed,Scopus和Web of Science的综合文献搜索.
包括关于分子分类TNBC队列和临床结果的原始研究.
数据提取,合成和分析预后相关性.

主要成果:

确定了TNBC亚型:基底类,介质性,免疫调节性和光类受体 (LAR).
基底类TNBC的预后不佳;免疫调节TNBC的存活率更高,特别是高瘤透性淋巴细胞.
介质细胞和LAR亚型表现出不同的临床行为和治疗反应. 突出显示了BRCA1/2突变和PD-L1表达等生物标志物.

结论:

对TNBC的分子分类提供了重要的预后见解,并指导治疗策略.
将分子亚型纳入临床决策对于个性化的TNBC治疗至关重要.
需要进一步的研究来完善分类和解决治疗差距.

关键词:

三重阴性乳腺癌是什么?生物标志物生物标志物没有疾病的生存率.表皮细胞-介质细胞过渡.发光的雄激素受体受体.治疗策略治疗策略透到瘤中的淋巴细胞

更多相关视频

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

相关概念视频

Cancer Survival Analysis

Cancer Survival Analysis

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...