|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
A new risk prediction model for patients with HCC treated with TARE (Y-scoring system) was established from the training cohort using five independent baseline variables [serum albumin < 3.5 g/dL, hazard ratio = 5.446; alpha-fetoprotein > 200 ng/mL (hazard ratio = 5.071); tumor number ≥ 3 (hazard ratio = 2.933); portal vein thrombosis (hazard ratio = 4.915); and hepatic vein invasion (hazard ratio = 8.500)] and two on-treatment variables [no des-gamma-carboxy prothrombin response (hazard ratio = 15.346) and progressive disease at three months (hazard ratio = 4.154)] for mortality (all P < 0.05).
|
31764406 |
2019 |
|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
The independent predictors of poor overall survival were microvascular invasion (P = .001) and prothrombin time-international normalized ratio to albumin ratio ≥0.288 (P = .001).
|
29754978 |
2018 |
|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
To determine the clinical value of serum Prothrombin induced by vitamin K absence-II (PIVKA-II) in early hepatocellular carcinoma (HCC), and to explore its relationship with vascular invasion and HBV DNA.
|
30103302 |
2018 |
|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
The prognostic value of the scoring model was determined by concordance index, time-dependent receiver operating characteristics, and calibration curves.Cox multivariate analysis of the derivation cohort identified prothrombin time, aspartate aminotransferase, and Barcelona clinic liver cancer (BCLC) staging as independent predictive factors of macroscopic vascular invasion.
|
30544459 |
2018 |
|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
Univariate analysis showed tumor necrosis (p = 0.012), level of PIVKA-II (prothrombin induced by vitamin K absence or antagonist-II; p = 0.002), and microvascular invasion (p = 0.029) to be associated with early recurrence.
|
29034775 |
2017 |
|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
In multivariate analysis, lymph node involvement (p = 0.006, HR 1.84), larger tumor size (p = 0.013, HR 1.79), vascular invasion (p = 0.038, HR 1.70), and prolongation of prothrombin time (p < 0.001, HR 4.20) were significantly related to poor survival.
|
28314929 |
2017 |
|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
Furthermore, high NEK2 expression was positively correlated with hepatic venous invasion (p=0.047), des-gammacarboxy prothrombin (p=0.003), and alpha-fetoprotein (AFP) (p=0.024).
|
26851035 |
2016 |
|
Tumor Cell Invasion
|
0.090 |
AlteredExpression
|
phenotype |
BEFREE |
Reduced prothrombin expression was associated with lower mitotic indices and invasion of surrounding tissue.
|
26238780 |
2015 |
|
Tumor Cell Invasion
|
0.090 |
Biomarker
|
phenotype |
BEFREE |
Significant correlations were observed between STAT4 expression and tumor TNM stage (P = 0.043), hepatic venous invasion (P = 0.003), des-gamma-carboxy prothrombin (P = 0.011), tumor size (P = 0.036), and tumor differentiation (P = 0.034).
|
24965572 |
2014 |