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Table 1 Univariate logistic regression analysis of MVI occurrence in the training cohort

From: A novel predictive model of microvascular invasion in hepatocellular carcinoma based on differential protein expression

Variable

B

S.E

P

OR (95%CI)

Age

-0.018

0.017

0.308

0.983(0.949–1.016)

Gender

-0.267

0.379

0.481

0.765(0.361–1.607)

Tumor size

2.961

0.429

 < 0.001

19.317(8.624–46.668)

Tumor differentiation

-18.660

1110.900

0.987

7.887e-09(3.491e-155–6.478e + 14)

GPC3

1.352

0.352

 < 0.001

3.864(1.958–7.828)

CK19

0.194

0.333

0.561

1.213(0.632–2.336)

vimentin

-0.304

0.334

0.363

0.738(0.382–1.419)

P53

0.592

0.340

0.081

1.808(0.933–3.543)

AFP

0.248

0.334

0.458

1.282(0.666–2.476)

EGFR

0.260

0.337

0.441

1.296(0.670–2.522)

RRM1

1.203

0.353

 < 0.001

3.331(1.685–6.759)

BRCA1

1.284

0.379

 < 0.001

3.612(1.748–7.781)

VEGF

0.031

0.334

0.927

1.031(0.535–1.988)

Ts

1.116

0.347

0.001

3.054(1.561–6.106)

Ki 67

-0.486

0.367

0.186

0.615(0.296–1.258)

ARG

-0.932

0.343

0.007

0.394(0.199–0.765)

GS

-2.532e-02

3.335e-01

0.939

0.975(0.506–1.877)

  1. Abbreviations: GPC3 glypican 3, CK19 keratin 19, AFP alpha fetoprotein, EGFR epidermal growth factor receptor, RRM1 ribonucleotide reductase catalytic subunit M1, BRCA1 breast cancer gene 1, VEGF vascular endothelial growth factor, Ts thymidylate synthase, ARG arginase, GS glutamine synthetase