选择高级瘤类型的成年患者中下一代测序趋势:现实世界的证据评估
Andrea Ferreira-Gonzalez1, Brian Hocum2, Gilbert Ko2
1Department of Pathology, Virginia Commonwealth University, Richmond, Virginia.
The Journal of molecular diagnostics : JMD
|January 31, 2024
概括
下一代测序 (NGS) 在癌症护理中的使用略有增加,但总体上仍然很低. 需要进一步努力,以改善NGS采用基于分子生物标志物的疗法.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 下一代测序 (NGS) 对于识别可操作的致癌变体至关重要,以指导基于分子生物标志物的疗法.
- 关于美国在各种癌症类型中使用NGS的流行率和趋势的数据有限.
- 越来越多的针对性疗法的批准需要了解当前的NGS采用率.
研究的目的:
- 为了检查在美国选择转移性固体瘤和中枢神经系统瘤的成年患者中NGS利用的趋势.
- 识别与NGS使用相关的因素,并分析测试时间指标.
- 在不断变化的治疗模式的背景下,评估NGS采用当前的格局.
主要方法:
- 从2014年1月1日到2021年6月30日,对美国医疗保健索赔数据 (Optum Clinformatics Data Mart) 的回顾性分析.
- 包括63,209名被诊断患有特定转移性固体瘤或中枢神经系统瘤的成年患者.
- 检查NGS使用趋势随着时间的推移,从诊断到NGS的时间,以及测试的预测因素.
主要成果:
- 在瘤类型中,NGS利用率从2015年 (0.0%-1.5%) 到2021年 (2.1%-17.4%) 略有增加.
- 乳腺癌,结直肠癌,头癌,软组织肉瘤,甲状腺癌和中枢神经系统癌症的NGS率在最后一个时期保持在10%以下.
- 到NGS的中位时间因癌症类型而异,非小细胞肺癌最短,乳腺癌最长. 根据瘤类型,NGS的预测因素有所不同,少数群体和白人患者在特定癌症中的比率相似.
结论:
- 尽管支付者政策和治疗批准得到了改善,但在许多癌症类型中,NGS率仍然很低.
- 观察到的NGS使用量的增加是适度的,突出显示了基于分子生物标志物治疗的采用差距.
- 进一步的干预是必要的,以提高NGS利用率,并通过精确瘤学改善患者的结果.
更多相关视频
11:15Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
24.4K
13:24Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
11.9K
相关概念视频
03:00Next-generation Sequencing
88.8K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
88.8K
01:21Cancer Survival Analysis
348
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...
348