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

Abstract Background Commonly 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). Methods In this study, evaluation of LBAS...

Full description

Bibliographic Details
Main Authors: Yuan-Yuan Zheng, Yun Fei, Zheng Wang, Yue Chen, Cheng Qiu, Fu-Rong Li
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Journal of Translational Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12967-020-02280-5
id doaj-ff4362705745465d818ce1fafc521d43
record_format Article
spelling doaj-ff4362705745465d818ce1fafc521d432020-11-25T02:20:08ZengBMCJournal of Translational Medicine1479-58762020-03-0118111110.1186/s12967-020-02280-5Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection systemYuan-Yuan Zheng0Yun Fei1Zheng Wang2Yue Chen3Cheng Qiu4Fu-Rong Li5Department of Pathophysiology, The Basic Medical School, Jinan UniversityDepartment of Clinical Diagnosis Laboratory, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan UniversityDepartment of Surgery, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan UniversityDepartment of Clinical Diagnosis Laboratory, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan UniversityInstitute of Respiratory Diseases, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan UniversityTranslational Medicine Collaborative Innovation Center, The Second Clinical Medical College (Shenzhen People’s Hospital), Jinan UniversityAbstract Background Commonly 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). Methods In 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. Results The 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%. Conclusions Our findings suggest that LBAS was simple, high-throughput, and freely combined with absolute quantification. Thus, this system could be applied for tumor miRNAs detection.http://link.springer.com/article/10.1186/s12967-020-02280-5miRNAsLiquid bead arrayLung cancerTumor tissue
collection DOAJ
language English
format Article
sources DOAJ
author Yuan-Yuan Zheng
Yun Fei
Zheng Wang
Yue Chen
Cheng Qiu
Fu-Rong Li
spellingShingle Yuan-Yuan Zheng
Yun Fei
Zheng Wang
Yue Chen
Cheng Qiu
Fu-Rong Li
Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection system
Journal of Translational Medicine
miRNAs
Liquid bead array
Lung cancer
Tumor tissue
author_facet Yuan-Yuan Zheng
Yun Fei
Zheng Wang
Yue Chen
Cheng Qiu
Fu-Rong Li
author_sort Yuan-Yuan Zheng
title Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection system
title_short Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection system
title_full Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection system
title_fullStr Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection system
title_full_unstemmed Tissue microRNAs in non-small cell lung cancer detected with a new kind of liquid bead array detection system
title_sort tissue micrornas in non-small cell lung cancer detected with a new kind of liquid bead array detection system
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2020-03-01
description Abstract Background Commonly 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). Methods In 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. Results The 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%. Conclusions Our findings suggest that LBAS was simple, high-throughput, and freely combined with absolute quantification. Thus, this system could be applied for tumor miRNAs detection.
topic miRNAs
Liquid bead array
Lung cancer
Tumor tissue
url http://link.springer.com/article/10.1186/s12967-020-02280-5
work_keys_str_mv AT yuanyuanzheng tissuemicrornasinnonsmallcelllungcancerdetectedwithanewkindofliquidbeadarraydetectionsystem
AT yunfei tissuemicrornasinnonsmallcelllungcancerdetectedwithanewkindofliquidbeadarraydetectionsystem
AT zhengwang tissuemicrornasinnonsmallcelllungcancerdetectedwithanewkindofliquidbeadarraydetectionsystem
AT yuechen tissuemicrornasinnonsmallcelllungcancerdetectedwithanewkindofliquidbeadarraydetectionsystem
AT chengqiu tissuemicrornasinnonsmallcelllungcancerdetectedwithanewkindofliquidbeadarraydetectionsystem
AT furongli tissuemicrornasinnonsmallcelllungcancerdetectedwithanewkindofliquidbeadarraydetectionsystem
_version_ 1724873441280000000