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Page 8 of 11                                        Yoneoka et al. Hepatoma Res 2020;6:67  I  http://dx.doi.org/10.20517/2394-5079.2020.57

               Table 4. Predictors of non-response to TARE
                                              Univariate analysis                Multivariate analysis
                                          OR (95%CI)         P-value          OR (95%CI)         P-value
                Age ≥ 65                 4.06 (1.12-14.80)    0.034         1.45 (0.21-10.17)    0.709
                Male sex                 0.82 (0.21-3.16)     0.769
                Hepatitis B              0.17 (0.02-1.68)     0.130
                Hepatitis C              0.86 (0.25-2.90)     0.801
                Alcohol abuse            1.80 (0.48-6.74)     0.383
                NASH/NAFLD               1.49 (0.39-5.67)     0.556
                BMI ≥ 30                 1.48 (0.31-7.21)     0.626
                Smoking history          1.09 (0.31-3.88)     0.890
                Diabetes mellitus        1.32 (0.38-4.58)     0.663
                Hyperlipidemia           2.82 (0.79-10.04)    0.110
                Hypertension             2.19 (0.52-9.33)     0.288
                ALBI grade ≥ 2           6.14 (1.60-23.50)    0.008         4.15 (0.80-21.52)    0.090
                Child-Pugh class B       1.04 (0.24-4.59)     0.957
                Normal AFP               0.42 (0.12-1.50)     0.183
                Total tumor size ≥ 10 cm  3.00 (0.53-17.02)   0.215
                Multiple tumors          0.59 (0.17-2.06)     0.410
                Pre-treatment NLR ≥ 2.83  15.94 (2.92-87.06)  0.001         7.83 (1.14-53.61)    0.036
                Pre-treatment PLR ≥ 83   6.17 (1.58-24.05)    0.009         3.01 (0.49-18.34)    0.232
               OR: odds ratio; CI: confidence interval; NASH: non-alcoholic steatohepatitis; NAFLD: non-alcoholic fatty liver disease; BMI: body mass
               index; ALBI: albumin-bilirubin; AFP: alpha-fetoprotein; NLR: neutrophil-to-lymphocyte ratio; PLR: platelet-to-lymphocyte ratio; TARE:
               transarterial radioembolization






















               Figure 4. Kaplan-Meier curves for time to progression grouped according to pre-treatment NLR and pre-treatment PLR cutoff values.
               Censored events are represented by vertical lines. NLR: neutrophil-to-lymphocyte ratio; PLR: platelet-to-lymphocyte ratio


               DISCUSSION
               Traditional ways of monitoring response to TARE have relied on imaging techniques such as CT or MRI.
               While imaging has been the best modality to demonstrate changes in tumor size, it may require months
               to see a visible response. Patients who did not respond to therapy during this time may have had disease
               progression. Therefore, it would be advantageous to find prognostic markers that can predict tumor
               response or progression prior to subsequent imaging. Inflammation-based markers, such as NLR and PLR,
               may provide an ideal solution as they are relatively easy to obtain from routine laboratory results and have
               established prognostic value in previous studies on HCC [11-14] .

               This study sought to determine the ability of NLR and PLR to predict response to TARE as primary
               treatment for HCC. We demonstrated that a pre-treatment NLR ≥ 2.83 was associated with non-response to
                                                                                                       [21]
               TARE in both univariate and multivariate analysis. These findings were in agreement with Taussig et al. ,
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