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Shen et al.                                                                                                                                                    Evaluation of microRNAs normalization approaches

           Table 1: The 26 miRNAs significantly aberrantly expressed in HCC tumor compared to nontumor tissues using the
           mean of all miRNAs as the normalizer
                            Geometric mean in  Geometric mean in
           miRNAs              tumor tissue  non-tumor tissue   Fold-change       P-value           FDR

           miR-196b              1.10E-01        7.30E-03          16.56          2.88E-05        1.41E-03
           miR-183               1.90E-02        1.40E-03          16.29          1.86E-04        4.47E-03
           miR-182               4.10E-02        3.20E-03          14.11          1.77E-05        1.41E-03
           miR-10b#              8.10E-02        8.60E-03          10.13          1.41E-05        1.41E-03
           miR-1180              2.50E-02        9.10E-03          4.56           2.90E-04        6.55E-03
           miR-221               3.10E-01        7.40E-02          4.13           5.87E-04        1.00E-02
           miR-18a               1.90E-01        5.70E-02          4.00           1.39E-04        3.58E-03
           miR-130b#             1.10E-02        3.20E-03          3.97           7.69E-04        1.06E-02
           miR-222              1.81E+01         6.42E+00          2.81           6.48E-04        1.02E-02
           miR-339-3p            1.70E-01        6.50E-02          2.62           1.08E-04        3.54E-03
           miR-21               1.30E+01         5.20E+00          2.49           9.27E-04        1.12E-02
           miR-324-5p            8.30E-02        3.40E-02          2.47           6.11E-04        1.00E-02
           miR-550               3.30E-02        1.40E-02          2.38           3.87E-04        7.76E-03
           miR-362               1.10E-01        4.90E-02          2.30           7.96E-04        1.06E-02
           miR-148b              6.60E-02        3.00E-02          2.28           8.78E-04        1.09E-02
           miR-106a             5.19E+01         2.29E+01          2.27           8.20E-06        1.41E-03
           miR-93#              1.30E+00         6.10E-01          2.14           8.28E-04        1.07E-02
           miR-139-5p            4.70E-01        2.47E+00          -5.26          3.13E-05        1.41E-03
           miR-144#              4.60E-02        2.10E-01          -5.00          5.78E-05        2.09E-03
           miR-214               5.20E-01        2.29E+00          -4.35          7.09E-04        1.02E-02
           miR-486               1.90E-01        8.20E-01          -4.35          5.10E-06        1.41E-03
           miR-199a-3p          1.61E+00         5.95E+00          -3.70          6.84E-04        1.02E-02
           miR-511               3.00E-02        1.10E-01          -3.33          1.28E-04        3.54E-03
           miR-424               1.40E-02        2.70E-02          -2.94          4.02E-05        1.61E-03
           miR-125b             1.23E+00         2.74E+00          -2.22          2.24E-05        1.41E-03
           miR-598               4.30E-02        8.50E-02          -2.00          5.96E-04        1.00E-02
           miRNA: microRNA; HCC: hepatocellular carcinoma; FDR: false discovery rate

           222 [46,48,49] , miR-362 [50,51] ) and two miRNAs (miR-324-  the top stable miRNAs as the normalizer may be a
           5p and miR-550) first identified in HCC tumor tissue   good option to identify biologically important miRNA in
           were significantly over-expressed by using miRNA   hepatocarcinogenesis.
           global mean as the normalizer [Supplementary Table
           7]. These miRNAs would not have been discovered    Although using this strategy may raise concern that
           using the 3 endogenous controls as normalizer. Our   measuring global miRNA profiles for all participants
           results were strongly supported by the evidence    in a large epidemiological study is not feasible, we
           obtained from previous studies that using global   strongly recommended running at least a subset of
           expression mean as normalizer significantly reduces   representative samples or samples mixed from all
           technical variation (standard deviations) across   subjects to select the most stable candidates among
           samples and faithfully represents the input amount   detectable miRNAs for normalization. This additional
           of total RNA. [23,52]  More importantly, this approach   step is necessary to ensure a proper normalization
           also showed maximum separation for biologically    strategy for miRNA quantification and comparison.
           different samples and significantly reduces false   Mestdagh et al. [23]  proposed a similar strategy that first
           positive findings of down-regulated miRNAs. [23,52]  It   obtained miRNA expression levels by using global
           suggests that the combination of global mean and   mean of miRNAs as normalizer, and then identified

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