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. 2020 Dec;9(6):2616–2628. doi: 10.21037/tau-20-498

Table 1. Uni- and multivariate logistic regression analysis of DEARGs.

Genes Univariate Multivariate
OR 95% CI P value OR 95% CI P value
TP63 0.913 0.895–0.931 <1×10–4 0.948 0.920–0.976 3.85×10–4
HSPB8 0.985 0.981–0.988 <1×10–4 0.991 0.985–0.996 1.06×10–3
ATG9B 18.527 7.184–47.782 <1×10–4 27.663 5.088–150.415 1.22×10–4
NKX2_3 35.315 9.692–128.672 <1×10–4 6.655 1.810–24.467 4.33×10–3
DNAJB1 0.998 0.997–0.999 3.74×10–4 0.995 0.991–0.999 6.00×10–3
CAMKK2 1.034 1.024–1.044 <1×10–4 1.43×10–1
ITPR1 0.969 0.959–0.980 <1×10–4 7.58×10–1
TMEM74 0.003 0.001–0.021 <1×10–4 8.66×10–1
NRG1 0.359 0.264–0.489 <1×10–4 2.71×10–1
NRG2 0.424 0.349–0.515 <1×10–4 3.23×10–1
ITGB4 0.972 0.964–0.981 <1×10–4 5.95×10–2
BCL2 0.904 0.878–0.930 <1×10–4 8.05×10–1
CDKN2A 2.262 1.616–3.164 <1×10–4 9.23×10–1
BIRC5 1.882 1.502–2.359 <1×10–4 9.51×10–1
SUPT20HL2 0.000 0.000–0.001 <1×10–4 3.01×10–1
FAM215A 0.001 0.000–0.011 <1×10–4 6.73×10–1

DEARGs, differentially expressed auto-related genes; OR, odds ratio; CI, confidence interview.