Suppr超能文献

循环miRNA-373和血管内皮生长因子作为乳腺癌早期检测的潜在生物标志物

Circulating miRNA-373 and Vascular Endothelial Growth Factor as Potential Biomarkers for Early Detection of Breast Cancer.

作者信息

Raheem Anmar R, Abdul-Rasheed Omar F, Khattab Omar S, Alsammarraie Ahmed Z, Al-Aubaidy Hayder, Abid Hussein A

机构信息

Department of Chemistry and Biochemistry, College of Medicine, Al-Nahrain University, Kadhmyia, Baghdad, Iraq.

Al-Imamain Al-Kadhimain Medical City, Ministry of Health, Baghdad, Iraq.

出版信息

Indian J Clin Biochem. 2024 Oct;39(4):529-538. doi: 10.1007/s12291-023-01174-9. Epub 2024 Feb 2.

Abstract

UNLABELLED

Breast cancer is the leading cause of cancer-related mortality among women worldwide. MicroRNAs (miRNAs), short non-coding RNAs, have been implicated in cancer-related processes such as tumor development, metastasis, angiogenesis, and drug resistance. Circulating miRNA-373 demonstrates higher relative exosomal serum levels in breast cancer patients compared to healthy women, making it a potential non-invasive biomarker. Separately, vascular endothelial growth factor (VEGF) is crucial for angiogenesis, and is elevated in breast cancer. In this case-control study, we aimed to investigate the diagnostic accuracy of miRNA-373 and VEGF as biomarkers for early-stage breast cancer detection. Serum samples were collected from 120 participants, comprising 30 breast cancer patients, 30 benign breast tumor patients, and 60 healthy controls, over the period of April 2022 to January 2023. MiRNA-373 expression was analyzed by reverse transcription-quantitative PCR with GAPDH normalisation, while VEGF levels in serum samples were measured by ELISA. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of both biomarkers. MiRNA-373 expression (∆Ct) differed significantly between the three groups (breast cancer: - 12.20 ± 1.11; benign tumors: - 12.79 ± 1.09; controls: - 13.64 ± 0.93). ROC analysis revealed moderate discriminative power for miRNA-373 (specificity = 76.7%; sensitivity = 70.0%; AUC = 0.839) and excellent discriminative power for VEGF (specificity = 85.0%; sensitivity = 90.0%; AUC = 0.944) in distinguishing early-stage breast cancer patients from healthy controls. In summary, this study demonstrates the promising potential of miRNA-373 as an early diagnostic biomarker for breast cancer detection, requiring further validation in larger cohorts. Our findings also reinforce the diagnostic value of circulating VEGF levels for breast cancer screening.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s12291-023-01174-9.

摘要

未标注

乳腺癌是全球女性癌症相关死亡的主要原因。微小RNA(miRNA)是短的非编码RNA,与肿瘤发生、转移、血管生成和耐药性等癌症相关过程有关。与健康女性相比,循环miRNA - 373在乳腺癌患者的外泌体血清水平中相对较高,使其成为一种潜在的非侵入性生物标志物。另外,血管内皮生长因子(VEGF)对血管生成至关重要,且在乳腺癌中升高。在这项病例对照研究中,我们旨在研究miRNA - 373和VEGF作为早期乳腺癌检测生物标志物的诊断准确性。在2022年4月至2023年1月期间,从120名参与者中收集血清样本,其中包括30名乳腺癌患者、30名乳腺良性肿瘤患者和60名健康对照。通过逆转录定量PCR并以GAPDH标准化来分析miRNA - 373表达,同时通过ELISA测量血清样本中的VEGF水平。进行受试者操作特征(ROC)曲线分析以评估两种生物标志物的诊断性能。三组之间miRNA - 373表达(∆Ct)存在显著差异(乳腺癌:- 12.20 ± 1.11;良性肿瘤:- 12.79 ± 1.09;对照:- 13.64 ± 0.93)。ROC分析显示,miRNA - 373具有中等判别能力(特异性 = 76.7%;敏感性 = 70.0%;AUC = 0.839),而VEGF具有出色的判别能力(特异性 = 85.0%;敏感性 = 90.0%;AUC = 0.944),可区分早期乳腺癌患者与健康对照。总之,本研究证明了miRNA - 373作为乳腺癌检测早期诊断生物标志物的潜在前景,需要在更大队列中进一步验证。我们的研究结果也强化了循环VEGF水平在乳腺癌筛查中的诊断价值。

补充信息

在线版本包含可在10.1007/s12291 - 023 - 01174 - 9获取的补充材料。

相似文献

5
Blood biomarkers for the non-invasive diagnosis of endometriosis.用于子宫内膜异位症无创诊断的血液生物标志物。
Cochrane Database Syst Rev. 2016 May 1;2016(5):CD012179. doi: 10.1002/14651858.CD012179.

本文引用的文献

6
Heterogeneity within molecular subtypes of breast cancer.乳腺癌分子亚型内的异质性。
Am J Physiol Cell Physiol. 2021 Aug 1;321(2):C343-C354. doi: 10.1152/ajpcell.00109.2021. Epub 2021 Jun 30.
9
The role of microenvironment in tumor angiogenesis.微环境在肿瘤血管生成中的作用。
J Exp Clin Cancer Res. 2020 Sep 30;39(1):204. doi: 10.1186/s13046-020-01709-5.

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