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. 2021 Oct 9;22(20):10902. doi: 10.3390/ijms222010902

Table 3.

Univariable and multivariable binary logistic regression model for the prediction of early tumor progression during FOLFIRINOX.

Univariable Multivariable
Variable OR (95% CI) p OR (95% CI) p
Stage of disease
Resectable
LAPC
Metastatic

Ref
1.31 (0.58–2.95)
1.87 (0.65–5.35)


0.521
0.245
CA19-9 at baseline
(per 100 kU/L)
1.00 (1.00–1.01) 0.475
miR-17-3p relative expression over reference miRNAs
(per 1 × 10−2 increase) a
1.39 (0.91–2.13) 0.125
miR-373-3p relative expression over reference miRNAs
(per 1 × 10−2 increase) a
2.62 (0.90–7.63) 0.078 3.99 (1.10–14.49) 0.035
miR-194-5p relative expression over reference miRNAs
(per 1 × 10−2 increase) b
0.94 (0.87–1.00) 0.065 0.91 (0.83–0.99) 0.030

a In samples before the start of FOLFIRINOX, b in samples after one cycle of FOLFIRINOX. CA19-9 = carbohydrate antigen 19-9, CI = confidence interval, OR = odds ratio, miR/miRNA = microRNA, Ref = reference.