• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.2217/fon-2020-0332
PMID:32490705
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。

相似文献

1
Improvement strategies for successful next-generation sequencing analysis of lung cancer.肺癌下一代测序分析成功的改进策略。
Future Oncol. 2020 Aug;16(22):1597-1606. doi: 10.2217/fon-2020-0332. Epub 2020 Jun 3.
2
Feasibility of Endobronchial Ultrasound-guided Transbronchial Needle Aspiration Cytology Specimens for Next Generation Sequencing in Non-small-cell Lung Cancer.经支气管超声引导针吸活检细胞学标本用于非小细胞肺癌下一代测序的可行性。
Clin Lung Cancer. 2018 May;19(3):230-238.e2. doi: 10.1016/j.cllc.2017.11.010. Epub 2017 Dec 5.
3
Clinical Impact of Hybrid Capture-Based Next-Generation Sequencing on Changes in Treatment Decisions in Lung Cancer.基于杂交捕获的下一代测序对肺癌治疗决策改变的临床影响。
J Thorac Oncol. 2017 Feb;12(2):258-268. doi: 10.1016/j.jtho.2016.10.021. Epub 2016 Nov 16.
4
Utility of incorporating next-generation sequencing (NGS) in an Asian non-small cell lung cancer (NSCLC) population: Incremental yield of actionable alterations and cost-effectiveness analysis.将下一代测序(NGS)纳入亚洲非小细胞肺癌(NSCLC)人群的实用性:可操作改变的增量收益和成本效益分析。
Lung Cancer. 2020 Jan;139:207-215. doi: 10.1016/j.lungcan.2019.11.022. Epub 2019 Nov 26.
5
Use of dedicated gene panel sequencing using next generation sequencing to improve the personalized care of lung cancer.使用新一代测序技术进行专用基因panel测序,以改善肺癌的个性化治疗。
Oncotarget. 2016 Apr 26;7(17):24860-70. doi: 10.18632/oncotarget.8391.
6
Accuracy of next-generation sequencing for the identification of clinically relevant variants in cytology smears in lung adenocarcinoma.二代测序用于鉴定肺腺癌细胞学涂片临床相关变异的准确性
Cancer Cytopathol. 2017 Jun;125(6):398-406. doi: 10.1002/cncy.21844. Epub 2017 Mar 8.
7
Correlation of Somatic Genomic Alterations Between Tissue Genomics and ctDNA Employing Next-Generation Sequencing: Analysis of Lung and Gastrointestinal Cancers.利用下一代测序技术对组织基因组和 ctDNA 之间的体细胞基因组改变进行相关性分析:肺癌和胃肠道癌的分析。
Mol Cancer Ther. 2018 May;17(5):1123-1132. doi: 10.1158/1535-7163.MCT-17-1015. Epub 2018 Mar 2.
8
FNA smears as a potential source of DNA for targeted next-generation sequencing of lung adenocarcinomas.细针穿刺抽吸涂片作为肺腺癌靶向二代测序潜在的DNA来源。
Cancer Cytopathol. 2016 Jun;124(6):406-14. doi: 10.1002/cncy.21699. Epub 2016 Feb 16.
9
Clinical next-generation sequencing in patients with non-small cell lung cancer.非小细胞肺癌患者的临床下一代测序。
Cancer. 2015 Feb 15;121(4):631-9. doi: 10.1002/cncr.29089. Epub 2014 Oct 24.
10
NGS analysis on tumor tissue and cfDNA for genotype-directed therapy in metastatic NSCLC patients. Between hope and hype?对转移性非小细胞肺癌患者进行肿瘤组织和循环游离DNA的二代测序分析以指导基因型导向治疗。是希望还是炒作?
Expert Rev Anticancer Ther. 2017 Aug;17(8):681-685. doi: 10.1080/14737140.2017.1331736. Epub 2017 May 22.

引用本文的文献

1
Suitability of Frozen Pleural Fluid Pellets for Next-Generation Sequencing-Based Driver Gene Testing in Non-Small Cell Lung Cancer.冷冻胸腔积液颗粒用于非小细胞肺癌基于下一代测序的驱动基因检测的适用性
Thorac Cancer. 2025 Jun;16(11):e70107. doi: 10.1111/1759-7714.70107.
2
Examining the Formalin Fixation Method for Maintaining High RNA Quality in Surgical Lung Specimens.检验用于维持手术肺标本中高RNA质量的福尔马林固定方法。
Thorac Cancer. 2025 Jan;16(2):e70005. doi: 10.1111/1759-7714.70005.
3
The Current Achievements of Multi-Gene Panel Tests in Clinical Settings for Patients with Non-Small-Cell Lung Cancer.
多基因检测 panel 在非小细胞肺癌患者临床应用中的当前成果
Cancers (Basel). 2024 Apr 25;16(9):1670. doi: 10.3390/cancers16091670.
4
Utility of bronchoscopically obtained frozen cytology pellets for next-generation sequencing.经支气管镜获取的冷冻细胞学颗粒用于下一代测序的效用。
BMC Cancer. 2024 Apr 17;24(1):489. doi: 10.1186/s12885-024-12250-5.
5
Utility of needle biopsy in centrally located lung cancer for genome analysis: a retrospective cohort study.中央型肺癌中经皮针吸活检在基因组分析中的效用:一项回顾性队列研究。
BMC Pulm Med. 2023 Dec 1;23(1):484. doi: 10.1186/s12890-023-02749-1.
6
Rapid and reliable collection of tumor tissue for successful gene panel in a patient with advanced stage lung cancer: A case report.快速可靠地采集肿瘤组织,以成功进行晚期肺癌患者的基因检测:病例报告。
Thorac Cancer. 2023 Jan;14(1):85-88. doi: 10.1111/1759-7714.14738. Epub 2022 Nov 20.
7
Clinical application of comprehensive genomic profiling panel to thoracic malignancies: A single-center retrospective study.综合基因组分析面板在胸内恶性肿瘤中的临床应用:一项单中心回顾性研究。
Thorac Cancer. 2022 Nov;13(21):2970-2977. doi: 10.1111/1759-7714.14643. Epub 2022 Sep 13.
8
Direct identification of ALK and ROS1 fusions in non-small cell lung cancer from hematoxylin and eosin-stained slides using deep learning algorithms.利用深度学习算法从苏木精和伊红染色切片中直接鉴定非小细胞肺癌中的 ALK 和 ROS1 融合。
Mod Pathol. 2022 Dec;35(12):1882-1887. doi: 10.1038/s41379-022-01141-4. Epub 2022 Sep 3.
9
Fragment size and dynamics of EGFR-mutated tumor-derived DNA provide prognostic information regarding EGFR-TKI efficacy in patients with EGFR-mutated NSCLC.肿瘤 EGFR 突变衍生 DNA 的片段大小和动态可提供关于 EGFR-TKI 治疗 EGFR 突变型 NSCLC 患者疗效的预后信息。
Sci Rep. 2022 Aug 8;12(1):13544. doi: 10.1038/s41598-022-17848-y.
10
Predictive Biomarkers in Thyroid Cancer.甲状腺癌中的预测性生物标志物
Front Oncol. 2022 May 6;12:901004. doi: 10.3389/fonc.2022.901004. eCollection 2022.