Prospective Study
Copyright ©The Author(s) 2024.
World J Gastroenterol. May 7, 2024; 30(17): 2343-2353
Published online May 7, 2024. doi: 10.3748/wjg.v30.i17.2343
Table 1 Patient characteristics and biomarkers, n (%)
               

Total
Stage 0
Stage A
Stage B
Stage C
Stage D
P valuea
(n = 115)
(n = 13)
(n = 27)
(n = 36)
(n = 16)
(n = 23)
Age (mean ± SD)60.83 ± 12.9360.69 ± 11.6461.07 ± 11.3458.67 ± 15.0362.00 ± 12.7363.22 ± 12.480.754
Male98 (85.2)11 (84.6)22 (81.5)31 (86.1)15 (93.8)19 (82.6)0.849
BMI (kg/m2)23.12 ± 3.524.31 ± 3.1223.43 ± 2.7423.06 ± 3.3322.98 ± 5.0622.26 ± 3.530.543
Symptom at first presentation
        Abdominal pain44 (38.3)1 (7.7)7 (25.9)16 (44.4)10 (62.5)10 (43.5)0.02
        Jaundice7 (6.1)1 (7.7)0 (0)1 (2.8)1 (6.3)4 (17.4)0.106
        Anemia1 (0.9)0 (0)0 (0)1 (2.8)0 (0)0 (0)0.697
        Ascites9 (7.8)2 (15.4)1 (3.7)1 (2.8)2 (12.5)3 (13)0.368
        Weight loss7 (6.1)0 (0)0 (0)5 (13.9)0 (0)2 (8.7)0.102
        Fever1 (0.9)1 (7.7)0 (0)0 (0)0 (0)0 (0)0.095
        Edema4 (3.5)0 (0)1 (3.7)0 (0)2 (12.5)1 (4.3)0.223
        Abdominal mass3 (2.6)0 (0)0 (0)3 (8.3)0 (0)0 (0)0.154
        GI bleeding12 (10.4)1 (7.7)0 (0)2 (5.6)5 (31.3)4 (17.4)0.012
        Asymptomatic39 (33.9)8 (61.5)17 (63)11 (30.6)1 (6.3)2 (8.7)< 0.001
Etiology
        CHB43 (37.4)8 (61.5)7 (25.9)18 (50)5 (31.3)5 (21.7)0.043
        CHC14 (12.2)1 (7.7)5 (18.5)3 (8.3)3 (18.8)2 (8.7)0.615
        Alcohol17 (14.8)2 (15.4)4 (14.8)5 (13.9)2 (12.5)4 (17.4)0.995
        MAFLD9 (7.8)1 (7.7)4 (14.8)2 (5.6)1 (6.3)1 (4.3)0.64
        CHB with alcohol20 (17.4)0 (0)4 (14.8)4 (11.1)5 (31.3)7 (30.4)0.069
        CHC with alcohol12 (10.4)1 (7.7)3 (11.1)4 (11.1)0 (0)4 (17.4)0.526
        Cirrhosis92 (80)9 (69.2)21 (77.8)27 (75)12 (75)23 (100)0.108
        CTP-A/B/C (%)56.5/34.8/8.788.9/11.1/081/19/070.4/29.6/050/50/08.7/56.5/34.8< 0.001
MELD (mean ± SD)10.31 ± 7.287.54 ± 7.248.78 ± 6.738.28 ± 6.3310.5 ± 6.9816.74 ± 6.17< 0.001
Performance status
        0-179 (68.7)12 (92.3)26 (96.3)36 (100)4 (25)1 (4.3)< 0.001
        22 (1.7)0 (0)1 (3.7)0 (0)0 (0)1 (4.3)0.613
        315 (13)0 (0)0 (0)0 (0)10 (62.5)5 (21.7)< 0.001
        419 (16.5)1 (7.7)0 (0)0 (0)2 (12.5)16 (69.6)< 0.001
Tumor size (cm)
        ≤ 223 (20)12 (92.3)8 (29.6)1 (2.8)0 (0)2 (8.7)< 0.001
        2.1-314 (12.2)1 (7.7)12 (44.4)0 (0)0 (0)1 (4.3)< 0.001
        3.1-514 (12.2)0 (0)7 (25.9)4 (11.1)0 (0)3 (13)0.065
        > 564 (55.7)0 (0)0 (0)31 (86.1)16 (100)17 (73.9)< 0.001
Tumor number
        150 (43.5)13 (100)14 (51.9)17 (47.2)2 (12.5)4 (17.4)< 0.001
        235 (30.4)0 (0)10 (37)8 (22.2)10 (62.5)7 (30.4)
        ≥ 330 (26.1)0 (0)3 (11.1)11 (30.6)4 (25)12 (52.2)
Tumor characteristic
        Macrovascular invasion16 (13.9)0 (0)0 (0)2 (5.6)8 (50)6 (26.1)< 0.001
        PV thrombosis25 (21.7)0 (0)0 (0)1 (2.8)11 (68.8)13 (56.5)< 0.001
        Metastasis10 (8.7)0 (0)0 (0)0 (0)6 (37.5)4 (17.4)< 0.001
Liver function test
        Albumin (mg/dL)3.73.84.13.93.552.7< 0.001
(3.1, 4.2)(3.7, 4.4)(3.5, 4.3)(3.45, 4.25)(3.15, 3.7)(2.3, 3.4)
        Total bilirubin (mg/dL)1.040.910.690.861.353.44< 0.001
(0.63, 1.84)(0.69, 1.12)(0.56, 1.64)(0.55, 1.5)(1.17, 1.83)(0.92, 5.19)
        AST (IU/L)79 (47, 130)34 (29, 67)52 (36, 68)79 (53, 116.5)145 (94.5, 207.5)141 (93, 479)< 0.001
        ALT (IU/L)41 (24, 65)24 (20, 43)35 (20, 43)53 (38, 71)41 (20.5, 124)48 (24, 97)0.017
        ALP (IU/L)136 (92, 237)86 (71, 108)108 (79, 130)143.5 (102, 271.5)176 (152, 276.5)201 (159, 314)< 0.001
Biomarker (median, 25-75 quartile)
        AFP (ng/mL)38.93.1105022146.379< 0.001
(5.4, 3305.3)(1.7, 50)(2.8, 61)(13.2, 2482.65)(190.55, 163697)(17.2, 23475)
        AFP- L3 (%)74.554.836.0725.830.5< 0.001
(1, 34.1)(0.5, 6.76)(0.5, 8.1)(0.9, 24.7)(3.95, 63.9)(8.16, 74.7)
        PIVKA II (mAU/mL)60426557820201884807< 0.001
(54, 21878)(20,35)(37, 220)(139, 44019.5)(761, 91915)(581, 203031)
GALAD score
        Median (range)3.08-2.27-0.624.159.597.22< 0.001
(-0.56, 9.09)(-3.9, 1.2)(-1.81, 1.86)(1.21, 8.81)(6.17, 13.33)(3.7, 10.12)
Table 2 Diagnostic performances of GALAD score and other biomarkers on Barcelona Clinic Liver Cancer staging, aggressive features, and prognostic performances for 1-year mortality of hepatocellular carcinoma
Scores
Barcelona Clinic Liver Cancer staging
Aggressive featuresa,2
1-year mortality3
0 vs A2
0/A vs B/C/D2
GALAD
        AUC (95%CI)0.6097 (0.40–0.82)0.8677 (0.80–0.93)0.8385 (0.75–0.92)0.7108 (0.60–0.82)
        Cutoff values≥ -1.95≥ 2.65≥ 7.22≥ 6.83
        Sensitivity/Specificity (%)81.48/53.8574.67/85.0075.00/85.5460.00/72.63
        PPV/NPV (%)78.57/58.3390.32/64.1566.67/89.8731.58/89.61
        Positive/Negative LR1.77/0.344.98/0.305.19/0.292.19/0.55
        Correctly classified (%)72.5078.2682.6170.43
PIVKA-II
        AUC (95%CI)0.7236 (0.54–0.91)0.8970 (0.84–0.95)0.7718 (0.68–0.86)0.7395 (0.63–0.85)
        Cutoff values≥ 37≥ 354≥ 581≥ 2959
        Sensitivity/Specificity (%)77.78/76.9281.33/92.5093.75/63.8675.00/68.42
        PPV/NPV (%)87.50/62.5095.31/72.5550.00/96.3633.33/92.86
        Positive/Negative LR3.37/0.2910.84/0.202.59/0.102.38/0.37
        Correctly classified (%)77.5085.2272.1769.57
AFP
        AUC (95%CI)0.5655 (0.36–0.77)0.7525 (0.67–0.84)0.7613 (0.65–0.87)0.5405 (0.39–0.69)
        Cutoff values≥ 4.4≥ 16≥ 79≥ 79
        Sensitivity/Specificity (%)74.07/53.8574.67/60.0075.00/71.0850.00/60.00
        PPV/NPV (%)76.92/50.0077.78/55.8150.00/88.0620.83/85.07
        Positive/Negative LR1.60/0.481.87/0.422.59/0.351.25/0.83
        Correctly classified (%)67.5069.5772.1758.26
AFP-L3
        AUC (95%CI)0.5128 (0.32–0.70)0.7058 (0.61–0.80)0.6969 (0.58–0.82)0.7361 (0.61–0.86)
        Cutoff values≥ 4.83≥ 7.4≥ 12.3≥ 14.5
        Sensitivity/Specificity (%)51.85/53.8564.00/77.5065.63/71.0865.00/72.63
        PPV/NPV (%)70.00/35.0084.21/53.4546.67/84.2933.33/90.79
        Positive/Negative LR1.12/0.892.84/0.462.27/0.482.38/0.48
        Correctly classified (%)52.5068.7069.5771.30
Comparison of AUC
        GALAD and PIVKA-IIP = 0.1798P = 0.2353P = 0.0683P = 0.5349
        GALAD and AFPP = 0.3721P < 0.001aP = 0.0136aP < 0.001a
        GALAD and AFP-L3P = 0.2992P < 0.001aP = 0.0152aP = 0.6656
        PIVKA-II and AFPP = 0.1100P < 0.001aP = 0.8476P = 0.0086a
        PIVKA-II and AFP-L3P = 0.0409aP < 0.001aP = 0.2801P = 0.9610