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Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma

BACKGROUND: Circulating microRNA (miRNA) are promising biomarkers for diagnosing and prognosticating numerous diseases. Reports have demonstrated controversial or even contradictory conclusions in studies on circulating microRNA. This study aimed to evaluate the potential bias of using different ref...

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Autores principales: Tang, Gusheng, Shen, Xiaojun, Lv, Kaiyang, Wu, Yu, Bi, Jianwei, Shen, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4345856/
https://www.ncbi.nlm.nih.gov/pubmed/25719241
http://dx.doi.org/10.12659/MSM.891028
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author Tang, Gusheng
Shen, Xiaojun
Lv, Kaiyang
Wu, Yu
Bi, Jianwei
Shen, Qian
author_facet Tang, Gusheng
Shen, Xiaojun
Lv, Kaiyang
Wu, Yu
Bi, Jianwei
Shen, Qian
author_sort Tang, Gusheng
collection PubMed
description BACKGROUND: Circulating microRNA (miRNA) are promising biomarkers for diagnosing and prognosticating numerous diseases. Reports have demonstrated controversial or even contradictory conclusions in studies on circulating microRNA. This study aimed to evaluate the potential bias of using different reference genes for analyzing circulating microRNAs in the same malignant digestive diseases. MATERIAL/METHODS: We measured plasma concentrations of U6-snRNA, let-7a, miRNA-21, miRNA-106a, miRNA-155, miRNA-219, miRNA-221, and miRNA-16 in patients with hepatocellular carcinoma (HCC), gastric carcinoma (GC), hepatic cirrhosis, hepatitis B, and healthy volunteers using quantitative real-time polymerase chain reaction (qPCR). The GeNorm, Normfinder, BestKeeper, and Comparative ΔCq algorithms integrated in RefFinder were used to screen the most suitable reference genes from the candidates. The 4 commonly used statistical evaluation software packages provided different results regarding the stability of the candidate reference genes. RESULTS: RefFinder revealed miRNA-106a and miRNA-21 as the most stably expressed reference genes, with comprehensive stability values of 1.189 and 1.861, respectively. U6-snRNA was the most unstable nucleic acid in our data. When 5 normalization strategies were compared using U6-snRNA, serum volume, miRNA-106a, miRNA-21, or the mean value of miRNA-106a and miRNA-21, obvious expression bias was detected in almost all target microRNAs. Intriguingly, all these normalization strategies indicated that circulating miRNA-155 is greatly upregulated in patients with HCC and GC, but downregulated in benign hepatic disease. CONCLUSIONS: Single reference genes used without justification in plasma microRNAs produce significant analysis bias or even erroneous results. Circulating miRNA-155 may be a promising non-invasive biomarker for discriminating malignant digestive tumors from the corresponding benign diseases.
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spelling pubmed-43458562015-03-11 Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma Tang, Gusheng Shen, Xiaojun Lv, Kaiyang Wu, Yu Bi, Jianwei Shen, Qian Med Sci Monit Molecular Biology BACKGROUND: Circulating microRNA (miRNA) are promising biomarkers for diagnosing and prognosticating numerous diseases. Reports have demonstrated controversial or even contradictory conclusions in studies on circulating microRNA. This study aimed to evaluate the potential bias of using different reference genes for analyzing circulating microRNAs in the same malignant digestive diseases. MATERIAL/METHODS: We measured plasma concentrations of U6-snRNA, let-7a, miRNA-21, miRNA-106a, miRNA-155, miRNA-219, miRNA-221, and miRNA-16 in patients with hepatocellular carcinoma (HCC), gastric carcinoma (GC), hepatic cirrhosis, hepatitis B, and healthy volunteers using quantitative real-time polymerase chain reaction (qPCR). The GeNorm, Normfinder, BestKeeper, and Comparative ΔCq algorithms integrated in RefFinder were used to screen the most suitable reference genes from the candidates. The 4 commonly used statistical evaluation software packages provided different results regarding the stability of the candidate reference genes. RESULTS: RefFinder revealed miRNA-106a and miRNA-21 as the most stably expressed reference genes, with comprehensive stability values of 1.189 and 1.861, respectively. U6-snRNA was the most unstable nucleic acid in our data. When 5 normalization strategies were compared using U6-snRNA, serum volume, miRNA-106a, miRNA-21, or the mean value of miRNA-106a and miRNA-21, obvious expression bias was detected in almost all target microRNAs. Intriguingly, all these normalization strategies indicated that circulating miRNA-155 is greatly upregulated in patients with HCC and GC, but downregulated in benign hepatic disease. CONCLUSIONS: Single reference genes used without justification in plasma microRNAs produce significant analysis bias or even erroneous results. Circulating miRNA-155 may be a promising non-invasive biomarker for discriminating malignant digestive tumors from the corresponding benign diseases. International Scientific Literature, Inc. 2015-02-26 /pmc/articles/PMC4345856/ /pubmed/25719241 http://dx.doi.org/10.12659/MSM.891028 Text en © Med Sci Monit, 2015 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License
spellingShingle Molecular Biology
Tang, Gusheng
Shen, Xiaojun
Lv, Kaiyang
Wu, Yu
Bi, Jianwei
Shen, Qian
Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma
title Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma
title_full Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma
title_fullStr Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma
title_full_unstemmed Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma
title_short Different Normalization Strategies Might Cause Inconsistent Variation in Circulating microRNAs in Patients with Hepatocellular Carcinoma
title_sort different normalization strategies might cause inconsistent variation in circulating micrornas in patients with hepatocellular carcinoma
topic Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4345856/
https://www.ncbi.nlm.nih.gov/pubmed/25719241
http://dx.doi.org/10.12659/MSM.891028
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