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. 2020 May 9;12(9):7908–7926. doi: 10.18632/aging.103110

Table 3. Univariable and multivariable linear mixed-effects model for the association of biomarkers with tumor growth rate.

Biomarker Group 1 Group2 Univariable analysisa Multivariable analysisb
N eVDE (95% CI) N eVDE(95% CI) Interaction coefficients SE p-value Interaction coefficients SE p-value
WHO grade Grade IV vs III 56 69.3 (54.9-83.7) 55 32.9 (22.3-43.6) +27.5 9.8 0.005** +19.1 10.5 0.07*
IDH1 mt vs wt 18 12.1 (6.4-17.7) 29 63.9 (39.8-88.1) -28.7 15 0.06* -18.5 16.6 0.3
MGMT promoter met vs non-met 27 13.4 (4.7-22.0) 10 34 (15.7-52.3) -37.4 17.6 0.03** -23.9 18.6 0.2
TERT C250T promoter mt vs wt 4 107.7 (50.4-165) 37 41.4 (24.0-58.8) +52.4 25.7 0.04** +32.1 26.8 0.2
ATRX high vs low expression 14 73.3 (29.8-116.7) 21 34.2 (18.5-49.8) +31.6 16.2 0.05* +24 17.3 0.2
Ki67 high vs low expression 55 67.8 (51.3-84.3) 36 31.1 (18.9-43.3) +20.1 11.3 0.08* +13.8 11.4 0.2

Abbreviations: wt, wild type; mt, mutation type; met, methylation; SE, standard error.

a. A single molecular biomarkers plus significant clinical biomarkers in linear mixed-effects model.

b. Significant clinical and molecular biomarkers in linear mixed-effects model together.

* p-value < 0.1 showed marginally statistically significance.

** p-value < 0.05 showed statistically significance.