解密基因组分类器与前列腺癌结果在现实世界环境中的关联
Michael S Leapman1, Julian Ho2, Yang Liu2
1Department of Urology, Yale School of Medicine, New Haven, CT, USA; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.
European urology oncology
|August 4, 2024
概括
解码基因组分类器 (GC) 在现实环境中准确预测前列腺癌患者的转移和复发风险. 这项研究证实了它在当代临床实践中的预后意义.
科学领域:
- 基因组医学是基因组医学.
- 在瘤学瘤学.
- 前列腺癌研究 研究前列腺癌研究
背景情况:
- 解读前列腺癌基因组分类器 (GC) 的预后意义主要来自档案组织.
- 有限的数据存在于解读GC协会与现实世界,当代设置的结果.
研究的目的:
- 评估解读GC与转移和生化复发 (BCR) 风险的关联.
- 评估接受现实世界测试和治疗的患者的结果.
主要方法:
- 追溯队列研究将Decipher GC的转录基因数据与现实世界的临床数据 (RWD) 联系起来.
- 分析保险索赔,药房记录和电子健康记录数据.
- 用于结果分析的Kaplan-Meier和Cox比例危险回归.
主要成果:
- 超过58,935名参与者接受了解密测试 (活检和RP标本).
- 解读GC独立与活检测 (HR 1.21) 和RP测试 (HR 1.20) 患者的转移风险相关.
- 在RP测试患者中解读与BCR风险相关的GC (HR 1.12).
结论:
- 在现实世界中,全国范围的研究支持Decipher GC的外部预后有效性.
- 结果验证了 Decipher GC 在当代前列腺癌管理中的应用.
- 基因组分类器有助于估计前列腺癌复发和转移风险.
相关概念视频
Cancer Survival Analysis
334
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...
334
Genome-wide Association Studies-GWAS
13.3K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.3K


