相关实验视频
Updated: May 3, 2026

09:11
Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
Published on: April 9, 2019
21.3K
瘤-肌瘤比率作为预测性帮助,用于在直肠癌中基于活检的治疗策略
Meaghan Polack1, Gabi W van Pelt1, Davita H van den Heuvel1
1Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Histopathology
|April 4, 2025
概括
在直肠癌 (RC) 活检上的瘤-肌瘤比率 (TSR) 预测了新辅助疗法反应,肌瘤高瘤的疗效较低. TSR是指导治疗选择的可靠参数,尽管生存是多因素的.
科学领域:
- 在瘤学瘤学.
- 病理学 病理学 病理学
- 临床试验 临床试验
背景情况:
- 在直肠癌 (RC) 活检中的瘤-肌瘤比率 (TSR) 可以预测治疗反应.
- 对RC患者的个性化治疗策略可以从基于生物标志物的选择中受益.
研究的目的:
- 为了验证活检得分TSR在RC中对新辅助疗法反应的预测值.
- 评估活检得分TSR对无病生存期 (DFS) 和整体生存期 (OS) 的次要影响.
主要方法:
- 从多个中心和临床试验中对373名RC患者的回顾性分析 (PROCTOR-SCRIPT,RAPIDO).
- 用血素和欧染色的活检幻灯片被评分为TSR,分类为流体低 (≤50%) 或流体高 (>50%).
- 主要响应被曼达德瘤回归度 (TRG 1+2) 定义,包括病理完整响应.
主要成果:
- 局部发达的RC病例更频繁地呈现出高层瘤 (P<0.001).
- 肌瘤高RC对新辅助疗法的主要反应率明显较低 (HR=0.63,P=0.044).
- 在调整已知风险因素后,TSR在多变量分析中没有显著影响DFS或OS (分别P=0.438和P=0.934).
结论:
- 活检得分的TSR是一种可靠的组织学参数,可以预测RC中新辅助疗法的疗效.
- 患有高瘤RC活检的患者对新辅助治疗的重大反应有所减少.
- 在治疗指南中实施TSR评分可以提高预先选择等待等待等策略的可能性.
更多相关视频
07:34Author Spotlight: Advancing Prostate Cancer Research Through Improved Tissue Sampling and Biobanking
Published on: November 17, 2023
590
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
187
相关概念视频
Tumor Immunotherapy
2.5K
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.
2.5K
Cancer Survival Analysis
863
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...
863