MicroRNA Expression Profiling to Identify and Validate Reference Genes for the Relative Quantification of microRNA in Rectal Cancer

被引:30
作者
Eriksen, Anne Haahr Mellergaard [1 ,2 ]
Andersen, Rikke Fredslund [1 ,2 ]
Pallisgaard, Niels [1 ,3 ]
Sorensen, Flemming Brandt [1 ,2 ]
Jakobsen, Anders [1 ,2 ]
Hansen, Torben Frostrup [1 ,2 ]
机构
[1] Vejle Hosp, Danish Colorectal Canc Ctr South, Ctr Clin Excellence, Vejle, Denmark
[2] Univ Southern Denmark, Inst Reg Hlth Res, Odense, Denmark
[3] Roskilde Hosp, Dept Clin Pathol, Roskilde, Denmark
关键词
IDENTIFICATION; NORMALIZATION; CHEMORADIOTHERAPY;
D O I
10.1371/journal.pone.0150593
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Introduction MicroRNAs (miRNAs) play important roles in regulating biological processes at the post-transcriptional level. Deregulation of miRNAs has been observed in cancer, and miRNAs are being investigated as potential biomarkers regarding diagnosis, prognosis and prediction in cancer management. Real-time quantitative polymerase chain reaction (RT-qPCR) is commonly used, when measuring miRNA expression. Appropriate normalisation of RT-qPCR data is important to ensure reliable results. The aim of the present study was to identify stably expressed miRNAs applicable as normaliser candidates in future studies of miRNA expression in rectal cancer. Materials and Methods We performed high-throughput miRNA profiling (OpenArray (R)) on ten pairs of laser micro-dissected rectal cancer tissue and adjacent stroma. A global mean expression normalisation strategy was applied to identify the most stably expressed miRNAs for subsequent validation. In the first validation experiment, a panel of miRNAs were analysed on 25 pairs of micro dissected rectal cancer tissue and adjacent stroma. Subsequently, the same miRNAs were analysed in 28 pairs of rectal cancer tissue and normal rectal mucosa. Results From the miRNA profiling experiment, miR-645, miR-193a-5p, miR-27a and let-7g were identified as stably expressed, both in malignant and stromal tissue. In addition, NormFinder confirmed high expression stability for the four miRNAs. In the RT-qPCR based validation experiments, no significant difference between tumour and stroma/normal rectal mucosa was detected for the mean of the normaliser candidates miR-27a, miR-193a-5p and let-7g (first validation P = 0.801, second validation P = 0.321). MiR-645 was excluded from the data analysis, because it was undetected in 35 of 50 samples (first validation) and in 24 of 56 samples (second validation), respectively. Significant difference in expression level of RNU6B was observed between tumour and adjacent stromal (first validation), and between tumour and normal rectal mucosa (second validation). Conclusion We recommend the mean expression of miR-27a, miR-193a-5p and let-7g as normalisation factor, when performing miRNA expression analyses by RT-qPCR on rectal cancer tissue.
引用
收藏
页数:11
相关论文
共 21 条
[1]
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 [J].
Andersen, CL ;
Jensen, JL ;
Orntoft, TF .
CANCER RESEARCH, 2004, 64 (15) :5245-5250
[2]
Basic principles of real-time quantitative PCR [J].
Arya, M ;
Shergill, IS ;
Williamson, M ;
Gommersall, L ;
Arya, N ;
Patel, HRH .
EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2005, 5 (02) :209-219
[3]
The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments [J].
Bustin, Stephen A. ;
Benes, Vladimir ;
Garson, Jeremy A. ;
Hellemans, Jan ;
Huggett, Jim ;
Kubista, Mikael ;
Mueller, Reinhold ;
Nolan, Tania ;
Pfaffl, Michael W. ;
Shipley, Gregory L. ;
Vandesompele, Jo ;
Wittwer, Carl T. .
CLINICAL CHEMISTRY, 2009, 55 (04) :611-622
[4]
MicroRNA expression profiling to identify and validate reference genes for relative quantification in colorectal cancer [J].
Chang, Kah Hoong ;
Mestdagh, Pieter ;
Vandesompele, Jo ;
Kerin, Michael J. ;
Miller, Nicola .
BMC CANCER, 2010, 10
[5]
Identification of suitable endogenous control genes for microRNA gene expression analysis in human breast cancer [J].
Davoren, Pamela A. ;
McNeill, Roisin E. ;
Lowery, Aoife J. ;
Kerin, Michael J. ;
Miller, Nicola .
BMC MOLECULAR BIOLOGY, 2008, 9
[6]
Altered levels of the onco-microRNA 21 and the tumor-supressor microRNAs 143 and 145 in advanced rectal cancer indicate successful neoadjuvant chemoradiotherapy [J].
Drebber, Uta ;
Lay, Max ;
Wedemeyer, Inga ;
Vallboehmer, Daniel ;
Bollschweiler, Elfriede ;
Brabender, Jan ;
Moenig, Stefan P. ;
Hoelscher, Arnulf H. ;
Dienes, Hans P. ;
Odenthal, Margarete .
INTERNATIONAL JOURNAL OF ONCOLOGY, 2011, 39 (02) :409-415
[7]
The Rectal Cancer microRNAome - microRNA Expression in Rectal Cancer and Matched Normal Mucosa [J].
Gaedcke, Jochen ;
Grade, Marian ;
Camps, Jordi ;
Sokilde, Rolf ;
Kaczkowski, Bogumil ;
Schetter, Aaron J. ;
Difilippantonio, Michael J. ;
Harris, Curtis C. ;
Ghadimi, B. Michael ;
Moller, Soren ;
Beissbarth, Tim ;
Ried, Thomas ;
Litman, Thomas .
CLINICAL CANCER RESEARCH, 2012, 18 (18) :4919-4930
[8]
Identification of aberrantly expressed miRNAs in rectal cancer [J].
Li, Xinhua ;
Zhang, Guiying ;
Luo, Feijun ;
Ruan, Jinde ;
Huang, Damao ;
Feng, Deyun ;
Xiao, Desheng ;
Zeng, Zhijun ;
Chen, Xiong ;
Wu, Wei .
ONCOLOGY REPORTS, 2012, 28 (01) :77-84
[9]
A novel and universal method for microRNA RT-qPCR data normalization [J].
Mestdagh, Pieter ;
Van Vlierberghe, Pieter ;
De Weer, An ;
Muth, Daniel ;
Westermann, Frank ;
Speleman, Frank ;
Vandesompele, Jo .
GENOME BIOLOGY, 2009, 10 (06)
[10]
Normalization strategies for microRNA profiling experiments: a 'normal' way to a hidden layer of complexity? [J].
Meyer, Swanhild U. ;
Pfaffl, Michael W. ;
Ulbrich, Susanne E. .
BIOTECHNOLOGY LETTERS, 2010, 32 (12) :1777-1788