Case Control Study
Copyright ©The Author(s) 2019.
World J Gastroenterol. Dec 28, 2019; 25(48): 6902-6915
Published online Dec 28, 2019. doi: 10.3748/wjg.v25.i48.6902
Table 1 Baseline analysis, n (%)
FactorsPatient group (n = 80)Control group (n = 50)χ2 /tP value
Gender0.2640.609
Male50 (62.50)29(58.00)
Female30 (37.50)21 (42.00)
Age (yr)54.6 ± 5.053.7 ± 4.11.0680.288
BMI (kg/m2)22.86 ± 1.9323.17 ± 2.070.8660.388
Past medical history
Hypertension25 (31.25)10 (20.00)1.9790.160
Hyperlipidemia13 (16.25)6 (12.00)0.4450.505
Diabetes20 (25.00)10 (20.00)0.4330.510
Smoking history0.0810.776
Yes50 (62.50)30 (60.00)
No30 (37.50)20 (40.00)
History of alcoholism0.4940.482
Yes15 (18.75)7 (14.00)
No65 (81.25)43 (86.00)
Place of residence0.1770.674
Urban area45 (56.25)30 (60.00)
Rural area35 (43.75)20 (40.00)
Tumor size
≥ 5 cm45 (56.25)
< 5 cm35 (43.75)
Combined hepatitis
Yes70 (87.50)
No10 (12.50)
TNM staging
Stage I+II33 (41.25)
Stage III+IV47 (58.75)
Lymph node metastasis
Yes42 (52.50)
No38 (47.50)
Differentiation
Low differentiation27 (33.75)
Moderate + high differentiation53 (66.25)
AFP (ng/mL)59.583< 0.001
≤ 20025 (31.25)50 (100.00)
>20055 (68.75)0 (0.00)
Table 2 Relationship between cancer susceptibility candidate 9 and pathological data
FactorsPatient group (n = 80)TP value
Gender0.3080.759
Male (n = 50)3.287 ± 0.553
Female (n = 30)3.326 ± 0.553
Age (yr)07510.455
< 55 (n = 35)3.354 ± 0.504
≥ 55 (n = 45)3.261 ± 0.585
Tumor size4.357< 0.001
≥ 5 cm (n = 45)3.489 ± 0.414
< 5 cm (n = 35)3.06 ± 0.611
Combined hepatitis0.5750.567
Yes (n = 70)3.315 ± 0.540
No (n = 10)3.208 ± 0.634
TNM stage4.157< 0.001
Stage I+II (n = 33)3.496 ± 0.448
Stage III+IV (n = 47)3.024 ± 0.567
Lymph node metastasis4.557< 0.001
Yes (n = 42)3.54 ± 0.445
No (n = 38)3.038 ± 0.538
Differentiation4.387< 0.001
Low differentiation (n = 27)3.642 ± 0.405
Moderate + high differentiation (n = 53)3.128 ± 0.535
AFP (ng/mL)3.6170.001
≤ 200 (n = 25)3.609 ± 0.393
> 200 (n = 55)3.162 ± 0.557
Table 3 Receiver operating characteristic parameters
FactorsHCC diagnosisTumor sizeTNM stageLymph node metastasisDifferentiationAFP
AUC0.9330.7260.7430.7520.7770.738
SD0.0260.0600.0590.0550.0510.054
95%CI0.882-0.9830.608-0.8450.628-0.8580.645-0.8590.678-0.8760.632-0.844
P value< 0.0010.001< 0.001< 0.001< 0.0010.001
Specificity87.50%95.56%48.48%88.10%92.59%100.00%
Sensitivity90.00%48.57%93.62%52.63%52.83%45.45%
Youden index77.50%44.13%42.10%40.73%45.42%45.45%
Cut-off< 2.672< 2.916> 2.919< 3.057< 3.148< 3.057
Table 4 Multivariate Cox regression analysis
FactorsUnivariate Cox
Multivariate Cox
P valueHR95%CIP valueHR95%CI
Gender (male vs female)0.2721.3201.320-0.804
Age (< 55 yr vs ≥ 55 yr)0.4380.8250.825-0.508
Tumor size (≥ 5 cm vs < 5 cm)0.9521.0151.015-0.624
Combined hepatitis (yes vs no)0.6361.1851.185-0.586
TNM staging (stage I+II vs stage III+IV)0.0004.2714.271-2.3910.0062.5011.308-4.781
Lymph node metastasis (yes vs no)0.0010.4280.428-0.2590.0250.5350.309-0.924
Differentiation (low vs medium + high)0.0000.2420.242-0.1440.0000.3260.186-0.569
AFP (≤ 200 vs > 200 ng/mL)0.0251.9141.914-1.0860.0421.9351.023-3.662
CASC9 (< 3.305 vs ≥ 3.305)0.0052.0232.023-1.2350.0212.0241.112-3.682
Table 5 The top 10 Gene Ontology enrichment functions
TermCountP valueGenes
Negative regulation of transcription from the RNA polymerase II promoter90.001PHF19, SQSTM1, CPEB3, E2F7, ESR1, CBX2, SOX6, HMGA2, TWIST1
Positive regulation of transcription regulatory region DNA binding30.002WNT3A, HMGA2, TWIST1
Cytoplasm270.003CLSPN, CPEB3, TPM2, BDNF, RNF165, MAPT, STRIP2, HOXA10, FASN, PLCB1, CDC37L1, ARL2, IRAK1, SGK1, MAP2K1, KIF5A, DDX39B, PIM1, SOCS6, ESR1, SNAI2, WEE1, CDC25A, ADM, CA8, PSAT1, DUSP6
Positive regulation of transcription, DNA-templated60.009RET, MAP2K1, FOXK1, MYRF, ESR1, PLCB1
Osteoblast differentiation40.010WNT3A, FASN, SNAI2, TWIST1
Neuron projection morphogenesis30.011BDNF, SGK1, WEE1
Transcriptional activator activity, RNA polymerase II core promoter proximal region sequence-specific50.019PLAG1, HOXA10, ESR1, HMGA2, MYBL2
Negative regulation of sequence-specific DNA binding transcription factor activity30.021PIM1, ESR1, TWIST1
Neuron projection40.027CPEB3, KIF5A, MAPT, SLC6A4
Table 6 The top10 Kyoto Encyclopedia of Genes and Genomes signal pathways
TermCountP valueGenes
MicroRNAs in cancer70.002KIF23, CCNE1, MAP2K1, WNT3A, PIM1, HMGA2, CDC25A
Pathways in cancer80.005CCNE1, RET, MAP2K1, WNT3A, ITGA2, LAMC1, AXIN2, PLCB1
p53 signaling pathway40.007STEAP3, CCNE1, SERPINE1, CHEK1
Chagas disease (American trypanosomiasis)40.024GNAL, IRAK1, SERPINE1, PLCB1
Proteoglycans in cancer50.024MAP2K1, WNT3A, ESR1, ITGA2, TWIST1
Cell cycle40.030CCNE1, CHEK1, WEE1, CDC25A
PI3K-Akt signaling pathway60.038CCNE1, SGK1, MAP2K1, ITGA2, LAMC1, ANGPT2
Hippo signaling pathway40.048WNT3A, SERPINE1, AXIN2, SNAI2
Small cell lung cancer30.081CCNE1, ITGA2, LAMC1
Progesterone-mediated oocyte maturation30.082MAP2K1, CPEB3, CDC25A