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基于 microRNA 的生物标志物用于诊断非小细胞肺癌(NSCLC)。

MicroRNA-based biomarkers for diagnosis of non-small cell lung cancer (NSCLC).

机构信息

Department of Pathology, University of Maryland School of Medicine, Baltimore, Maryland, USA.

Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.

出版信息

Thorac Cancer. 2020 Mar;11(3):762-768. doi: 10.1111/1759-7714.13337. Epub 2020 Jan 28.


DOI:10.1111/1759-7714.13337
PMID:31994346
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7049510/
Abstract

BACKGROUND: The development of biomarkers for the early detection of non-small cell lung cancer (NSCLC) is clinically important. We have developed miRNA biomarkers in sputum and plasma, respectively, for NSCLC. Herein, we evaluate whether integrated analysis of the miRNAs across the different types of specimens could improve the early detection of NSCLC. METHODS: Using reverse transcription PCR, we determined expressions of two miRNAs (miRs-31-5p and 210-3p) in sputum and three miRNAs (miRs-21-5p, 210-3p, and 486-5p) in plasma of a training cohort of 76 NSCLC patients and 72 cancer-free smokers. The results were validated in a testing cohort of 56 NSCLC patients and 55 cancer-free smokers. RESULTS: The panels of two sputum miRNAs and three plasma miRNAs had 65.8-75.0% sensitivities and 83.3-87.5% specificities for diagnosis of NSCLC in the training cohort. The individual sputum or plasma miRNA panel had a higher sensitivity for squamous cell carcinoma or adenocarcinoma of the lung, respectively. From the miRNAs, we optimized an integrated panel of biomarkers consisting of two sputum miRNAs (miRs-31-5p and 210-3p) and one plasma miRNA (miR-21-5p) that had higher sensitivity (85.5%) and specificity (91.7%) for diagnosis of NSCLC compared with the individual panels alone. Furthermore, the performance of the integrated panel of biomarkers was independent of histology and stage of NSCLC, and patients' age, sex, and ethnicity. The performance of the integrated panel of biomarkers was confirmed in the testing cohort. CONCLUSIONS: Integrating biomarkers across different body fluids would synergistically improve the early detection of NSCLC. KEY POINTS: Lung cancer is a heterogeneous disease and develops from complex aberrations. Integrating sputum and plasma miRNAs has higher accuracy than when they are used alone.

摘要

背景:开发用于非小细胞肺癌(NSCLC)早期检测的生物标志物在临床上很重要。我们分别在痰液和血浆中开发了 miRNA 生物标志物。在此,我们评估了不同类型标本中 miRNA 的综合分析是否可以提高 NSCLC 的早期检测。

方法:使用逆转录 PCR,我们在 76 名 NSCLC 患者和 72 名非癌症吸烟者的训练队列的痰液中测定了两个 miRNA(miR-31-5p 和 210-3p)的表达,并在 56 名 NSCLC 患者和 55 名非癌症吸烟者的测试队列中验证了结果。

结果:在训练队列中,两个痰液 miRNA 和三个血浆 miRNA 组合的检测结果具有 65.8-75.0%的 NSCLC 诊断敏感性和 83.3-87.5%的特异性。单个痰液或血浆 miRNA 检测结果对鳞状细胞癌或肺腺癌的检测具有更高的敏感性。从 miRNA 中,我们优化了一个包含两个痰液 miRNA(miR-31-5p 和 210-3p)和一个血浆 miRNA(miR-21-5p)的综合生物标志物检测结果,与单独使用个体 miRNA 检测结果相比,其具有更高的 NSCLC 诊断敏感性(85.5%)和特异性(91.7%)。此外,综合生物标志物检测结果的性能与 NSCLC 的组织学和分期、患者的年龄、性别和种族无关。综合生物标志物检测结果在测试队列中得到了验证。

结论:整合不同体液中的生物标志物可以协同提高 NSCLC 的早期检测。

关键点:肺癌是一种异质性疾病,由复杂的异常发展而来。整合痰液和血浆 miRNA 具有比单独使用更高的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44a8/7049510/fc627b955034/TCA-11-762-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44a8/7049510/fc627b955034/TCA-11-762-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/44a8/7049510/fc627b955034/TCA-11-762-g001.jpg

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[1]
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[2]
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[3]
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[4]
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[5]
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[7]
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引用本文的文献

[1]
Current Evidence Supporting the Role of miRNA as a Biomarker for Lung Cancer Diagnosis Through Exhaled Breath Condensate Collection: A Narrative Review.

Life (Basel). 2025-4-22

[2]
MicroRNA-486: a dual-function biomarker for diagnosis and tumor immune microenvironment characterization in non-small cell lung cancer.

BMC Med Genomics. 2025-5-19

[3]
Prognostic Value of miR-10a-3p in Non-Small Cell Lung Cancer Patients.

Onco Targets Ther. 2024-11-14

[4]
Hsa_circ_0109320 Serves as a Novel Circular RNA Biomarker in Non-small Cell Lung Cancer by Promoting Metastasis.

Mol Biotechnol. 2024-11-5

[5]
Clinical applications of circulating biomarkers in non-small cell lung cancer.

Front Cell Dev Biol. 2024-8-21

[6]
Latest Research Progress of Liquid Biopsy in Tumor-A Narrative Review.

Cancer Manag Res. 2024-8-16

[7]
Down regulation of RBM10 promotes proliferation and metastasis via miR-224-5p/RBM10/p53 feedback loop in lung adenocarcinoma.

Heliyon. 2024-7-22

[8]
MicroRNAs: circulating biomarkers for the early detection of imperceptible cancers via biosensor and machine-learning advances.

Oncogene. 2024-7

[9]
Phosphorylation of AGO2 by TBK1 Promotes the Formation of Oncogenic miRISC in NSCLC.

Adv Sci (Weinh). 2024-4

[10]
Prognostic value of plasma microRNAs for non-small cell lung cancer based on data mining models.

BMC Cancer. 2024-1-10

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