在患有高级非小细胞肺癌的患者中进行全外体,全转录组测序的成本和益处
Jesse D Ortendahl1, Gebra Cuyun Carter2, Snehal G Thakkar2
1Stratevi LLC, Boston, MA.
JCO precision oncology
|June 17, 2025
概括
使用全外体,全转录组 (WES/WTS) 测序进行全面的基因组分析,可以改善非小细胞肺癌 (NSCLC) 患者的治疗结果并降低患者的成本. 这种先进的瘤概况识别可以识别出更有资格接受向治疗的患者.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 翻译医学是一种翻译医学.
背景情况:
- 针对非小细胞肺癌 (NSCLC) 的向治疗越来越多,需要有效的瘤分析.
- 准确识别有资格接受向治疗的患者对于有效的NSCLC管理至关重要.
研究的目的:
- 为了比较新诊断的晚期或转移性NSCLC的不同瘤分析策略.
- 与其他测试方法相比,评估全外体,全转录组 (WES/WTS) 测序的成本效益和临床结果.
主要方法:
- 开发了一个经济模型来评估测试替代品的成本和临床结果.
- 与没有基因组测试,序列单基因测试和WES/WTS综合基因组分析进行了比较.
- 利用已发表的文献来确定患者变化率,并进行敏感性和场景分析.
主要成果:
- 与没有测试相比,WES/WTS每位患者的成本减少了8,809美元,平均整体存活时间增加了3.9个月.
- WES/WTS降低了每名患者的费用14.602美元,而不是单基因测试.
- 结合DNA和RNA测序测试将成本降低了400美元至1724美元,并将可操作的变异识别提高了2.3%-13.0%.
结论:
- 整体外基因组,整体转录基因组 (WES/WTS) 测序是一种具有成本效益的方法,可以改善NSCLC的临床结果.
- 综合的基因组分析提升了适合针对性治疗的患者的鉴定.
- 这些发现支持WES/WTS作为先进NSCLC的首选瘤分析策略.
更多相关视频
11:02Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
19.5K
09:34Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
Published on: April 4, 2018
34.0K
相关概念视频
03:00Next-generation Sequencing
92.8K
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....
92.8K
03:21RNA-seq
10.4K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.4K