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血清外泌体小核仁RNA(snoRNA)特征作为良性和恶性肺结节的预测生物标志物。

Serum exosomal small nucleolar RNA (snoRNA) signatures as a predictive biomarker for benign and malignant pulmonary nodules.

作者信息

Cao Fei, You Qian, Zhu Feng, Zhang Yu

机构信息

Department of Oncology, The Fifth People's Hospital of Wuxi Affiliated to Jiangnan University, Wuxi, China.

Department of Respiratory, The Fifth People's Hospital of Wuxi Affiliated to Jiangnan University, Wuxi, China.

出版信息

Cancer Cell Int. 2024 Oct 14;24(1):341. doi: 10.1186/s12935-024-03522-y.

DOI:10.1186/s12935-024-03522-y
PMID:39402628
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11475846/
Abstract

Low-dose CT (LDCT) is increasingly recognized as the preferred method for detecting pulmonary nodules. However, distinguishing whether a nodule is benign or malignant often necessitates repeated scans or invasive tissue sampling procedures. Therefore, there is a pressing need for non-invasive techniques to minimize unnecessary interventions. This study aim to investigate the expression profile of exosomal snoRNA in the serum of patients with benign and malignant pulmonary nodules. We identified a total of 278 snoRNAs in serum exosomes, revealing significant differences in snoRNA levels between patients with malignant and benign nodules. Specifically, the upregulated snoRNAs U78 and U37 were validated through qRT-PCR and were found significantly elevated in the serum of patients with malignant pulmonary nodules, positioning them as promising biomarkers for the early detection of lung cancer. This study underscores the potential of serum exosomal U78 and U37 as critical tools for assessing the risk of pulmonary nodules identified through CT screening.

摘要

低剂量计算机断层扫描(LDCT)越来越被认为是检测肺结节的首选方法。然而,区分结节是良性还是恶性通常需要重复扫描或进行侵入性组织采样程序。因此,迫切需要非侵入性技术以尽量减少不必要的干预。本研究旨在调查良性和恶性肺结节患者血清中外泌体小核仁RNA(snoRNA)的表达谱。我们在血清外泌体中总共鉴定出278种snoRNA,揭示了恶性和良性结节患者之间snoRNA水平的显著差异。具体而言,通过定量逆转录聚合酶链反应(qRT-PCR)验证了上调的snoRNA U78和U37,并发现它们在恶性肺结节患者的血清中显著升高,使其成为早期检测肺癌的有前景的生物标志物。本研究强调了血清外泌体U78和U37作为评估通过CT筛查发现的肺结节风险的关键工具的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/41fb0984ced1/12935_2024_3522_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/d5c32c391b74/12935_2024_3522_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/6ae3966e7cc6/12935_2024_3522_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/2108fbaa6931/12935_2024_3522_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/ac8340827ed9/12935_2024_3522_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/9e2f6e930dde/12935_2024_3522_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/41fb0984ced1/12935_2024_3522_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/d5c32c391b74/12935_2024_3522_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/6ae3966e7cc6/12935_2024_3522_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/2108fbaa6931/12935_2024_3522_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/ac8340827ed9/12935_2024_3522_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/9e2f6e930dde/12935_2024_3522_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ea4/11475846/41fb0984ced1/12935_2024_3522_Fig6_HTML.jpg

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本文引用的文献

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Identification of four snoRNAs (SNORD16, SNORA73B, SCARNA4, and SNORD49B) as novel non-invasive biomarkers for diagnosis of breast cancer.鉴定四种小核仁RNA(SNORD16、SNORA73B、SCARNA4和SNORD49B)作为诊断乳腺癌的新型非侵入性生物标志物。
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