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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Format: | Article |
Language: | English |
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John Wiley and Sons Inc
2021
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Online Access: | View Fulltext in Publisher |
LEADER | 03384nam a2200529Ia 4500 | ||
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001 | 10.1002-jcla.23934 | ||
008 | 220427s2021 CNT 000 0 und d | ||
020 | |a 08878013 (ISSN) | ||
245 | 1 | 0 | |a CircRNAs as promising biomarker in diagnosis of breast cancer: An updated meta-analysis |
260 | 0 | |b John Wiley and Sons Inc |c 2021 | |
856 | |z View Fulltext in Publisher |u https://doi.org/10.1002/jcla.23934 | ||
520 | 3 | |a 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. © 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC. | |
650 | 0 | 4 | |a area under the curve |
650 | 0 | 4 | |a Article |
650 | 0 | 4 | |a biomarker |
650 | 0 | 4 | |a Biomarkers, Tumor |
650 | 0 | 4 | |a blood |
650 | 0 | 4 | |a breast cancer |
650 | 0 | 4 | |a breast cancer |
650 | 0 | 4 | |a Breast Neoplasms |
650 | 0 | 4 | |a breast tumor |
650 | 0 | 4 | |a circular ribonucleic acid |
650 | 0 | 4 | |a circular RNA |
650 | 0 | 4 | |a diagnosis |
650 | 0 | 4 | |a diagnostic accuracy |
650 | 0 | 4 | |a diagnostic value |
650 | 0 | 4 | |a down regulation |
650 | 0 | 4 | |a female |
650 | 0 | 4 | |a Female |
650 | 0 | 4 | |a gene expression level |
650 | 0 | 4 | |a genetics |
650 | 0 | 4 | |a human |
650 | 0 | 4 | |a Humans |
650 | 0 | 4 | |a meta analysis |
650 | 0 | 4 | |a meta-analysis |
650 | 0 | 4 | |a real time reverse transcription polymerase chain reaction |
650 | 0 | 4 | |a receiver operating characteristic |
650 | 0 | 4 | |a RNA, Circular |
650 | 0 | 4 | |a ROC Curve |
650 | 0 | 4 | |a sensitivity and specificity |
650 | 0 | 4 | |a systematic review |
650 | 0 | 4 | |a tumor marker |
650 | 0 | 4 | |a upregulation |
700 | 1 | |a Chu, M. |e author | |
700 | 1 | |a Fang, Y. |e author | |
700 | 1 | |a Jin, Y. |e author | |
773 | |t Journal of Clinical Laboratory Analysis |