Different normalization strategies might cause inconsistent variation in circulating micrornas in patients with hepatocellular carcinoma

Medical Science Monitor

Volumn 21, Issue , 2015, Pages 617-624

  Tang, Gusheng ^a   Shen, Xiaojun ^a   Lv, Kaiyang ^a   Wu, Yu ^b   Bi, Jianwei ^a   Shen, Qian ^a  

^a SECOND MILITARY MEDICAL UNIVERSITY   (China)

^b The Chinese People s Liberation Army 94th Hospital   (China)

Author keywords

Carcinoma; Genes; Hepatocellular; MicroRNAs; Real Time Polymerase Chain Reaction; Vif

Indexed keywords

LET 7A; MICRORNA; MICRORNA 106A; MICRORNA 155; MICRORNA 16; MICRORNA 21; MICRORNA 219; MICRORNA 221; UNCLASSIFIED DRUG;

ADULT; AGED; ARTICLE; CONTROLLED STUDY; COPY NUMBER VARIATION; FEMALE; GASTROINTESTINAL DISEASE; GENE EXPRESSION; GENETIC VARIABILITY; HEPATITIS B; HUMAN; LIVER CELL CARCINOMA; LIVER CIRRHOSIS; MAJOR CLINICAL STUDY; MALE; REAL TIME POLYMERASE CHAIN REACTION; REVERSE TRANSCRIPTION POLYMERASE CHAIN REACTION; RNA ISOLATION; STOMACH CARCINOMA; BLOOD; CASE CONTROL STUDY; GENE EXPRESSION REGULATION; GENETICS; LIVER TUMOR; PROCEDURES; STANDARD; STANDARDS; TUMOR GENE;

CARCINOMA, HEPATOCELLULAR; CASE-CONTROL STUDIES; GENE EXPRESSION REGULATION, NEOPLASTIC; GENES, NEOPLASM; HUMANS; LIVER NEOPLASMS; MICRORNAS; REAL-TIME POLYMERASE CHAIN REACTION; REFERENCE STANDARDS;

EID: 84923623851     PISSN: 12341010     EISSN: 16433750     Source Type: Journal    
DOI: 10.12659/MSM.891028     Document Type: Article

References (32)

1. Lages E, Ipas H, Guttin A et al: MicroRNAs: molecular features and role in cancer. Front Biosci (Landmark Ed), 2012; 17: 2508–40
2. Chen X, Ba Y, Ma L et al: Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res, 2008; 18: 997–1006
3. Jung M, Schaefer A, Steiner I et al: Robust microRNA stability in degraded RNA preparations from human tissue and cell samples. Clin Chem, 2010; 56: 998–1006
4. McDonald JS, Milosevic D, Reddi HV et al: Analysis of circulating microRNA: preanalytical and analytical challenges. Clin Chem, 2011; 57: 833–40
5. Starkey Lewis PJ, Merz M et al: Serum microRNA biomarkers for drug-induced liver injury. Clin Pharmacol Ther, 2012; 92: 291–93
6. Thum T, Mayr M: Review focus on the role of microRNA in cardiovascular biology and disease. Cardiovasc Res, 2012; 93: 543–44
7. Healy NA, Heneghan HM, Miller N et al: Systemic mirnas as potential biomarkers for malignancy. Int J Cancer, 2012; 131: 2215–22
8. Yang Q, Jie Z, Cao H et al: Low-level expression of let-7a in gastric cancer and its involvement in tumorigenesis by targeting RAB40C. Carcinogenesis, 2011; 32: 713–22
9. Tsujiura M, Ichikawa D, Komatsu S et al: Circulating microRNAs in plasma of patients with gastric cancers. Br J Cancer, 2010; 102: 1174–79
10. Sukata T, Sumida K, Kushida M et al: Circulating microRNAs, possible indicators of progress of rat hepatocarcinogenesis from early stages. Toxicol Lett, 2011; 200: 46–52
11. Shen Y, Li Y, Ye F et al: Identification of miR-23a as a novel microRNA normalizer for relative quantification in human uterine cervical tissues. Exp Mol Med, 2011; 43: 358–66
12. Tomimaru Y, Eguchi H, Nagano H et al: Circulating microRNA-21 as a novel biomarker for hepatocellular carcinoma. J Hepatol, 2012; 56: 167–75
13. Bihrer V, Waidmann O, Friedrich-Rust M et al: Serum microRNA-21 as marker for necroinflammation in hepatitis C patients with and without hepatocellular carcinoma. PLoS One, 2011; 6: e26971
14. Sanders I, Holdenrieder S, Walgenbach-Brunagel G et al: Evaluation of reference genes for the analysis of serum miRNA in patients with prostate cancer, bladder cancer and renal cell carcinoma. Int J Urol, 2012; 19: 1017–25
15. Song J, Bai Z, Han W et al: Identification of suitable reference genes for qPCR analysis of serum microRNA in gastric cancer patients. Dig Dis Sci, 2012; 57: 897–904
16. Liu R, Chen X, Du Y et al: Serum microRNA expression profile as a biomarker in the diagnosis and prognosis of pancreatic cancer. Clin Chem, 2012; 58: 610–18
17. Shen J, Hruby GW, McKiernan JM et al: Dysregulation of circulating microRNAs and prediction of aggressive prostate cancer. Prostate, 2012; 72: 1469–77
18. Vandesompele J, De Preter K, Pattyn F et al: Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol, 2002; 3: Research0034
19. Andersen CL, Jensen JL, Orntoft TF: Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res, 2004; 64: 5245–50
20. Pfaffl MW, Tichopad A, Prgomet C, Neuvians TP: Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper – Excel-based tool using pair-wise correlations. Biotechnol Lett, 2004; 26: 509–15
21. Silver N, Best S, Jiang J, Thein SL: Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Mol Biol, 2006; 7: 33
22. Tang G, Qin Q, Zhang P et al: Reverse signaling using an inducible costimulator to enhance immunogenic function of dendritic cells. Cell Mol Life Sci, 2009; 66: 3067–80
23. Lawrie CH, Gal S, Dunlop HM et al: Detection of elevated levels of tumourassociated microRNAs in serum of patients with diffuse large B-cell lymphoma. Br J Haematol, 2008; 141: 672–75
24. Kwon MJ, Oh E, Lee S et al: Identification of novel reference genes using multiplatform expression data and their validation for quantitative gene expression analysis. PLoS One, 2009; 4: e6162
25. Peltier HJ, Latham GJ: Normalization of microRNA expression levels in quantitative RT-PCR assays: identification of suitable reference RNA targets in normal and cancerous human solid tissues. RNA, 2008; 14: 844–52
26. Mahn R, Heukamp LC, Rogenhofer S et al: Circulating microRNAs (miRNA) in serum of patients with prostate cancer. Urology, 2011; 77: 1265.e9–16
27. Ratert N, Meyer HA, Jung M et al: Reference miRNAs for miRNAome analysis of urothelial carcinomas. PLoS One, 2012; 7: e39309
28. Turchinovich A, Weiz L, Langheinz A, Burwinkel B: Characterization of extracellular circulating microRNA. Nucleic Acids Res, 2011; 39: 7223–33
29. Lim QE, Zhou L, Ho YK et al: snoU6 and 5S RNAs are not reliable miRNA reference genes in neuronal differentiation. Neuroscience, 2011; 199: 32–43
30. Huang YH, Lin KH, Chen HC et al: Identification of postoperative prognostic microRNA predictors in hepatocellular carcinoma. PLoS One, 2012; 7: e37188
31. Kim BH, Hong SW, Kim A et al: Prognostic implications for high expression of oncogenic microRNAs in advanced gastric carcinoma. J Surg Oncol, 2013; 107: 505–10
32. Li CL, Nie H, Wang M et al: microRNA-155 is downregulated in gastric cancer cells and involved in cell metastasis. Oncol Rep, 2012; 27: 1960–66