• 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

采用下一代测序技术评估肿瘤来源外泌体 miRNA 作为早期非小细胞肺癌潜在诊断生物标志物。

Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non-Small Cell Lung Cancer Using Next-Generation Sequencing.

机构信息

Department of Radiotherapy and Chemotherapy, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Department of Respiratory, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

出版信息

Clin Cancer Res. 2017 Sep 1;23(17):5311-5319. doi: 10.1158/1078-0432.CCR-17-0577. Epub 2017 Jun 12.

DOI:10.1158/1078-0432.CCR-17-0577
PMID:28606918
Abstract

To identify tumor-derived exosomal biomarkers that are able to discriminate between adenocarcinoma and squamous cell carcinoma (SCC) as a noninvasive method in the early diagnosis of non-small cell lung cancer (NSCLC). Tumor-derived exosomes from the plasma of early-stage NSCLC patients were isolated. Exosomal miRNA profiling of 46 stage I NSCLC patients and 42 healthy individuals was performed using miRNA-seq to identify and validate adenocarcinoma- and SCC-specific miRNAs. The diagnostic accuracy of select miRNAs was tested further with an additional 60 individuals. There were 11 and 6 miRNAs expressed at remarkably higher levels, 13 and 8 miRNAs expressed at lower levels in adenocarcinoma and SCC patients, respectively, compared with healthy volunteers. Distinct adenocarcinoma- and SCC-specific exosomal miRNAs were validated. The reliability of miRNA-seq data was verified with several demonstrated diagnostic potential miRNAs for NSCLC and other carcinomas, as reported in previous studies, such as let-7, miR-21, miR-24, and miR-486. The results indicated that miR-181-5p, miR-30a-3p, miR-30e-3p, and miR-361-5p were adenocarcinoma-specific, and miR-10b-5p, miR-15b-5p, and miR-320b were SCC-specific. The diagnostic accuracy of three combination miRNA panels was evaluated using an AUC value of 0.899, 0.936, and 0.911 for detecting NSCLC, adenocarcinoma, and SCC, respectively. Tumor-derived exosomal miRNAs, adenocarcinoma-specific miR-181-5p, miR-30a-3p, miR-30e-3p and miR-361-5p, and SCC-specific miR-10b-5p, miR-15b-5p, and miR-320b were observed by next-generation sequencing, and their diagnostic accuracy were verified. These miRNAs may be promising and effective candidates in the development of highly sensitive, noninvasive biomarkers for early NSCLC diagnosis. .

摘要

为了鉴定能够区分腺癌和鳞状细胞癌(SCC)的肿瘤衍生外泌体生物标志物,作为非小细胞肺癌(NSCLC)早期诊断的一种非侵入性方法。从早期 NSCLC 患者的血浆中分离肿瘤衍生的外泌体。使用 miRNA-seq 对 46 例 I 期 NSCLC 患者和 42 名健康个体的外泌体 miRNA 图谱进行分析,以鉴定和验证腺癌和 SCC 特异性 miRNA。使用另外 60 名个体进一步测试了选择 miRNA 的诊断准确性。与健康志愿者相比,腺癌和 SCC 患者中分别有 11 个和 6 个 miRNA 表达水平显著升高,13 个和 8 个 miRNA 表达水平降低。验证了独特的腺癌和 SCC 特异性外泌体 miRNA。miRNA-seq 数据的可靠性通过以前研究中报道的几种 NSCLC 和其他癌症的具有诊断潜力的 miRNA 得到验证,例如 let-7、miR-21、miR-24 和 miR-486。结果表明,miR-181-5p、miR-30a-3p、miR-30e-3p 和 miR-361-5p 是腺癌特异性的,miR-10b-5p、miR-15b-5p 和 miR-320b 是 SCC 特异性的。使用 AUC 值为 0.899、0.936 和 0.911 评估了三个组合 miRNA 组的诊断准确性,用于检测 NSCLC、腺癌和 SCC。通过下一代测序观察到肿瘤衍生的外泌体 miRNA、腺癌特异性 miR-181-5p、miR-30a-3p、miR-30e-3p 和 miR-361-5p 以及 SCC 特异性 miR-10b-5p、miR-15b-5p 和 miR-320b,并验证了其诊断准确性。这些 miRNA 可能是开发高度敏感、非侵入性 NSCLC 早期诊断生物标志物的有前途和有效的候选物。

相似文献

1
Evaluation of Tumor-Derived Exosomal miRNA as Potential Diagnostic Biomarkers for Early-Stage Non-Small Cell Lung Cancer Using Next-Generation Sequencing.采用下一代测序技术评估肿瘤来源外泌体 miRNA 作为早期非小细胞肺癌潜在诊断生物标志物。
Clin Cancer Res. 2017 Sep 1;23(17):5311-5319. doi: 10.1158/1078-0432.CCR-17-0577. Epub 2017 Jun 12.
2
Circulating exosomal microRNAs as prognostic biomarkers for non-small-cell lung cancer.循环外泌体微小RNA作为非小细胞肺癌的预后生物标志物
Oncotarget. 2017 Feb 21;8(8):13048-13058. doi: 10.18632/oncotarget.14369.
3
Exosomal onco-miRs from serum of patients with adenocarcinoma of the esophagus: comparison of miRNA profiles of exosomes and matching tumor.食管癌患者血清中的外泌体致癌miR:外泌体与匹配肿瘤的miRNA谱比较
Tumour Biol. 2015 Jun;36(6):4643-53. doi: 10.1007/s13277-015-3112-0. Epub 2015 Jan 29.
4
Clinical evaluation of microRNA expression profiling in non small cell lung cancer.非小细胞肺癌中 microRNA 表达谱的临床评估。
Lung Cancer. 2013 Sep;81(3):388-396. doi: 10.1016/j.lungcan.2013.05.007. Epub 2013 Jun 10.
5
Identification of serum miRNAs by nano-quantum dots microarray as diagnostic biomarkers for early detection of non-small cell lung cancer.通过纳米量子点微阵列鉴定血清微小RNA作为早期检测非小细胞肺癌的诊断生物标志物。
Tumour Biol. 2016 Jun;37(6):7777-84. doi: 10.1007/s13277-015-4608-3. Epub 2015 Dec 22.
6
Differential expression profiles of microRNAs as potential biomarkers for the early diagnosis of lung cancer.作为肺癌早期诊断潜在生物标志物的微小RNA差异表达谱
Oncol Rep. 2017 Jun;37(6):3543-3553. doi: 10.3892/or.2017.5612. Epub 2017 Apr 28.
7
Detection of circulating exosomal miR-17-5p serves as a novel non-invasive diagnostic marker for non-small cell lung cancer patients.循环外泌体 miR-17-5p 的检测可作为非小细胞肺癌患者新型无创诊断标志物。
Pathol Res Pract. 2019 Aug;215(8):152466. doi: 10.1016/j.prp.2019.152466. Epub 2019 May 22.
8
Exosomal miRNA profiling before and after surgery revealed potential diagnostic and prognostic markers for lung adenocarcinoma.手术前后外泌体 miRNA 谱分析揭示了肺腺癌潜在的诊断和预后标志物。
Acta Biochim Biophys Sin (Shanghai). 2020 Mar 18;52(3):281-293. doi: 10.1093/abbs/gmz164.
9
miR-1254 and miR-574-5p: serum-based microRNA biomarkers for early-stage non-small cell lung cancer.miR-1254 和 miR-574-5p:基于血清的早期非小细胞肺癌 microRNA 生物标志物。
J Thorac Oncol. 2011 Mar;6(3):482-8. doi: 10.1097/JTO.0b013e318208c785.
10
Tumor-derived circulating exosomal miR-342-5p and miR-574-5p as promising diagnostic biomarkers for early-stage Lung Adenocarcinoma.肿瘤来源的循环外泌体 miR-342-5p 和 miR-574-5p 作为早期肺腺癌有前途的诊断生物标志物。
Int J Med Sci. 2020 Jun 6;17(10):1428-1438. doi: 10.7150/ijms.43500. eCollection 2020.

引用本文的文献

1
Liquid biopsy diagnostics for non-small cell lung cancer via elucidation of tRNA signatures.通过阐明tRNA特征进行非小细胞肺癌的液体活检诊断
Commun Med (Lond). 2025 Aug 21;5(1):364. doi: 10.1038/s43856-025-01068-2.
2
Sending the Signal to Bone: How Tumor-Derived EVs Orchestrate Pre-Metastatic Niche Formation and Skeletal Colonization.向骨骼发送信号:肿瘤衍生的细胞外囊泡如何协调前转移微环境的形成和骨骼定植
Biomedicines. 2025 Jul 4;13(7):1640. doi: 10.3390/biomedicines13071640.
3
Exosomal ncRNAs in liquid biopsy: a new paradigm for early cancer diagnosis and monitoring.
液体活检中的外泌体非编码RNA:早期癌症诊断与监测的新范式
Front Oncol. 2025 Jul 9;15:1615433. doi: 10.3389/fonc.2025.1615433. eCollection 2025.
4
Harnessing EVs-ncRNA for Lung Cancer: From Oncogenic Pathways to Novel Diagnostic and Therapeutic Strategies.利用细胞外囊泡非编码RNA用于肺癌研究:从致癌途径到新型诊断和治疗策略
Int J Nanomedicine. 2025 Jul 14;20:9031-9054. doi: 10.2147/IJN.S528115. eCollection 2025.
5
Microfluidic Liquid Biopsy Minimally Invasive Cancer Diagnosis by Nano-Plasmonic Label-Free Detection of Extracellular Vesicles: Review.通过纳米等离子体无标记检测细胞外囊泡的微流控液体活检微创癌症诊断:综述
Int J Mol Sci. 2025 Jul 1;26(13):6352. doi: 10.3390/ijms26136352.
6
Exosomes in lung cancer: a role in early diagnosis.肺癌中的外泌体:在早期诊断中的作用
Front Oncol. 2025 Jun 12;15:1599608. doi: 10.3389/fonc.2025.1599608. eCollection 2025.
7
Serum extracellular vesicle microRNAs as potential biomarkers to predict pembrolizumab response and prognosis in metastatic non-small cell lung cancer patients.血清细胞外囊泡微小RNA作为预测转移性非小细胞肺癌患者帕博利珠单抗反应和预后的潜在生物标志物。
Front Immunol. 2025 Jun 4;16:1540906. doi: 10.3389/fimmu.2025.1540906. eCollection 2025.
8
Exosome-Based Liquid Biopsy in Early Screening and Diagnosis of Cancers.基于外泌体的液体活检在癌症早期筛查与诊断中的应用
Dose Response. 2025 May 28;23(2):15593258251344480. doi: 10.1177/15593258251344480. eCollection 2025 Apr-Jun.
9
Tumor-derived exosomes as promising tools for cancer diagnosis and therapy.肿瘤来源的外泌体有望成为癌症诊断和治疗的工具。
Front Pharmacol. 2025 May 15;16:1596217. doi: 10.3389/fphar.2025.1596217. eCollection 2025.
10
Identification of a Biomarker Panel in Extracellular Vesicles Derived From Non-Small Cell Lung Cancer (NSCLC) Through Proteomic Analysis and Machine Learning.通过蛋白质组学分析和机器学习鉴定非小细胞肺癌(NSCLC)衍生的细胞外囊泡中的生物标志物面板。
J Extracell Vesicles. 2025 May;14(5):e70078. doi: 10.1002/jev2.70078.