Suppr超能文献

肺癌下一代测序分析成功的改进策略。

Improvement strategies for successful next-generation sequencing analysis of lung cancer.

机构信息

Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, 541-8567, Japan.

Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, 277-8577, Japan.

出版信息

Future Oncol. 2020 Aug;16(22):1597-1606. doi: 10.2217/fon-2020-0332. Epub 2020 Jun 3.

Abstract

We aimed to improve the success rate of NGS (next-generation sequencing) analysis through improved strategies of lung cancer sampling. The improvement strategies are as follows. Surgically resected specimens were preferentially submitted in cooperation with pathologists and surgeons. In bronchoscopic samples, the size of the sample collection device and the number of samples collected was increased. The strategies increased the success rate of NGS analysis of DNA from 69.3 to 91.1%, and that of RNA from 64.6 to 90.0%. The introduction of strategies aimed at improving the success of NGS analysis resulted in an improvement in the success rate and brought us closer to the delivery of effective precision medicine in cancer therapy.

摘要

我们旨在通过改进肺癌样本的取样策略来提高 NGS(下一代测序)分析的成功率。改进策略如下。与病理学家和外科医生合作,优先提交手术切除标本。在支气管镜样本中,增加样本采集装置的尺寸和采集样本的数量。这些策略将 DNA 的 NGS 分析成功率从 69.3%提高到 91.1%,RNA 的 NGS 分析成功率从 64.6%提高到 90.0%。引入旨在提高 NGS 分析成功率的策略,提高了成功率,使我们更接近于在癌症治疗中提供有效的精准医疗。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验