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CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis

BACKGROUND: Circular RNAs (circRNAs) have been identified to be involved in onset and progression of multiple malignant tumors. The present study aimed to systematically evaluate the diagnostic values of circRNAs in breast cancer. METHODS: The PubMed, Web of Science, Embase, CNKI, and Wanfang online...

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Autores principales: Chu, Mingyu, Fang, Yaqun, Jin, Yucui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418489/
https://www.ncbi.nlm.nih.gov/pubmed/34331339
http://dx.doi.org/10.1002/jcla.23934
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author Chu, Mingyu
Fang, Yaqun
Jin, Yucui
author_facet Chu, Mingyu
Fang, Yaqun
Jin, Yucui
author_sort Chu, Mingyu
collection PubMed
description BACKGROUND: Circular RNAs (circRNAs) have been identified to be involved in onset and progression of multiple malignant tumors. The present study aimed to systematically evaluate the diagnostic values of circRNAs in breast cancer. METHODS: The PubMed, Web of Science, Embase, CNKI, and Wanfang online databases were searched for the relevant studies before December 31, 2020. Statistical analysis of the diagnostic tests was performed based on STATA 16.0, Meta‐DiSc 1.4, and RevMan 5.3 software. The threshold effect and publication bias were measured by the Spearman correlation and Deeks’ funnel plot asymmetry test, respectively. RESULTS: Twenty‐one studies from 13 articles were included in this meta‐analysis. The pooled sensitivity and specificity were 0.77 and 0.71, respectively. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and overall diagnostic odds ratio (DOR) were 2.6, 0.33, and 8, respectively. Furthermore, the area under the summary receiver operator characteristic curve was 0.80. In addition, down‐regulated circRNAs achieved a diagnostic performance higher than up‐regulated circRNAs, with area under curve (AUC) values of 0.81 and 0.74, respectively. Studies based on tissue samples presented better diagnostic accuracy than those based on plasma samples, with AUC values of 0.80 and 0.67. In addition, two circRNAs, including circ_0001073 and circTADA2A‐E5/E6, showed higher diagnostic values, with AUC value of 0.990 and 0.937, respectively. According to the results of meta‐regression, the case size (p<0.05) might be the source of the heterogeneity. CONCLUSION: CircRNAs exhibited a high diagnostic value for breast cancer and may function as potential diagnostic biomarkers for breast cancer.
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spelling pubmed-84184892021-09-08 CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis Chu, Mingyu Fang, Yaqun Jin, Yucui J Clin Lab Anal Research Articles BACKGROUND: Circular RNAs (circRNAs) have been identified to be involved in onset and progression of multiple malignant tumors. The present study aimed to systematically evaluate the diagnostic values of circRNAs in breast cancer. METHODS: The PubMed, Web of Science, Embase, CNKI, and Wanfang online databases were searched for the relevant studies before December 31, 2020. Statistical analysis of the diagnostic tests was performed based on STATA 16.0, Meta‐DiSc 1.4, and RevMan 5.3 software. The threshold effect and publication bias were measured by the Spearman correlation and Deeks’ funnel plot asymmetry test, respectively. RESULTS: Twenty‐one studies from 13 articles were included in this meta‐analysis. The pooled sensitivity and specificity were 0.77 and 0.71, respectively. The pooled positive likelihood ratio (PLR), negative likelihood ratio (NLR), and overall diagnostic odds ratio (DOR) were 2.6, 0.33, and 8, respectively. Furthermore, the area under the summary receiver operator characteristic curve was 0.80. In addition, down‐regulated circRNAs achieved a diagnostic performance higher than up‐regulated circRNAs, with area under curve (AUC) values of 0.81 and 0.74, respectively. Studies based on tissue samples presented better diagnostic accuracy than those based on plasma samples, with AUC values of 0.80 and 0.67. In addition, two circRNAs, including circ_0001073 and circTADA2A‐E5/E6, showed higher diagnostic values, with AUC value of 0.990 and 0.937, respectively. According to the results of meta‐regression, the case size (p<0.05) might be the source of the heterogeneity. CONCLUSION: CircRNAs exhibited a high diagnostic value for breast cancer and may function as potential diagnostic biomarkers for breast cancer. John Wiley and Sons Inc. 2021-07-31 /pmc/articles/PMC8418489/ /pubmed/34331339 http://dx.doi.org/10.1002/jcla.23934 Text en © 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Chu, Mingyu
Fang, Yaqun
Jin, Yucui
CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis
title CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis
title_full CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis
title_fullStr CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis
title_full_unstemmed CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis
title_short CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta‐analysis
title_sort circrnas as promising biomarker in diagnosis of breast cancer: an updated meta‐analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418489/
https://www.ncbi.nlm.nih.gov/pubmed/34331339
http://dx.doi.org/10.1002/jcla.23934
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