Evidence map›Paper›PMID 32122370›Full record

ArticleJournal of translational medicine2020

Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection system.

Yuan-Yuan Zheng, Yun Fei, Zheng Wang, Yue Chen, Cheng Qiu, Fu-Rong Li

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Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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5 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yuan-Yuan ZhengDepartment of Pathophysiology, The Basic Medical School, Jinan University, Guangzhou, China.
Yun FeiDepartment of Clinical Diagnosis Laboratory, The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen, China.
Zheng WangDepartment of Surgery, The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen, China.
Yue ChenDepartment of Clinical Diagnosis Laboratory, The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen, China.
Cheng QiuInstitute of Respiratory Diseases, The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, Shenzhen, China.
Fu-Rong LiTranslational Medicine Collaborative Innovation Center, The Second Clinical Medical College (Shenzhen People's Hospital), Jinan University, No. 1017 Dongmen North Road, Shenzhen, 518020, China. frli62@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCommonly used miRNA detection methods cannot be applied for high-throughput analyses. However, this study was aimed to performed a liquid bead array detection system (LBAS) to detect tissue 6 miRNAs in non-small cell lung cancer (NSCLC).

methodsIn this study, evaluation of LBAS was performed to observe the precision, specificity, limitation and stability. Then, a total of 52 primary NSCLC patients who received resection operation without preoperative radiotherapy and chemotherapy between June 2013 and March 2014 were selected, and then the total RNA of the tissues were extracted. We prepared six NSCLC-related miRNAs for LBAS. After optimization and evaluation, LBAS was verified by detecting the relative expression levels of 6 microRNAs in the pathological tissues and corresponding normal tissues of 52 NSCLC patients.

resultsThe results of evaluation of LBAS showed that the Mean Fluorescence Intensity (MFI) of the reaction only added with chimeric probes and beads showed no significant change after 180 days (P > 0.05). And the intra-assay Coefficient of Variation (CV) was between 1.57 and 3.5%, while the inter-assay CV was between 4.24 and 11.27%, indicating this system was ideal for diagnostic reagents. In addition, only the beads corresponding to the additional miRNAs showed high MFIs from 8426 to 18,769, whereas the fluorescence values of the other beads were under background levels (MFIs = 20 to 55) in each reaction, indicating no cross reactivity among the miRNAs. The limit of detection of miR-21, miR-210, miR-125b, miR-155, miR-375, and miR-31 were 5.27, 1.39, 1.85, 2.01, 1.34, and 2.73 amol/μL, respectively, showing that the lowest detection limit of miRNA by this system was under pM level. Then, the relative expression levels of miR-21, miR-210, miR-125b, miR-155, miR-375, and miR-31 by using this system were significantly correlated with NSCLC (P < 0.05). And the results of AUC method indicated that specific of the LBAS system was 94.2%.

conclusionsOur findings suggest that LBAS was simple, high-throughput, and freely combined with absolute quantification. Thus, this system could be applied for tumor miRNAs detection.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMicroRNAsBiomarkers, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansBiomarkers, TumorMicroRNAsLiquid bead arrayLung cancermiRNAsTumor tissue

Identifiers

PMID32122370
PMCPMC7053089

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