Purpose:Abnormal spindle-like microcephaly associated (ASPM) plays an important role in neurogenesis and cell proliferation. This study is to elucidate its role in hepatocelllular carcinoma (HCC), particularly early tumor recurrence (ETR) and prognosis.

Experimental Design: We used reverse transcription-PCR assays to measure the ASPM mRNA levels in 247 HCC and correlated with clinicopathologic and molecular features.

Results:ASPM mRNA levels were high in fetal tissues but very low in most adult tissues. ASPM mRNA was overexpressed in 162 HCC (66%) but not in benign liver tumors. ASPM overexpression correlated with high α-fetoprotein (P = 1 × 10-8), high-grade (grade II-IV) HCC (P = 2 × 10-6), high-stage (stage IIIA-IV) HCC (P = 1 × 10-8), and importantly ETR (P = 1 × 10-8). ETR is the most critical unfavorable clinical prognostic factor. Among the various independent histopathologic (tumor size, tumor grade and tumor stage) and molecular factors (p53 mutation, high α-fetoprotein, and ASPM overexpression), tumor stage was the most crucial histologic factor (odds ratio, 14.7; 95% confidence interval, 6.65-33.0; P = 1 × 10-8), whereas ASPM overexpression (odds ratio, 6.49; P = 1 × 10-8) is the most important molecular factor associated with ETR. ASPM overexpression was associated with vascular invasion and ETR in both p53-mutated (all P values = 1 × 10-8) and non-p53-mutated HCC (P = 1 × 10-8 and 0.00088, respectively). Hence, patients with APSM-overexpressing HCC had lower 5-year survival (P = 0.000001) in both p53-mutated (P = 0.00008) and non-p53-mutated HCC (P = 0.0027). In low-stage (stage II) HCC, ASPM overexpression also correlated with higher ETR (P = 0.008).

Conclusion:ASPM overexpression is a molecular marker predicting enhanced invasive/metastatic potential of HCC, higher risk of ETR regardless of p53 mutation status and tumor stage, and hence poor prognosis.

Abnormal spindle-like microcephaly associated (ASPM) gene is the human orthologue of the Drosophila abnormal spindle (asp) and the most commonly mutated gene of autosomal recessive primary microcephaly (15). The homozygous semilethal mutation of Drosophila asp causes abnormal spindles, frequent polyploid cells, and cytokinesis failure (6), leading to arrest of neuroblasts in metaphase (7, 8) and larval-pupal lethality (6, 9). In human, the defective neurogenesis caused by homozygous mutation of ASPM leads to microcephaly and mental retardation (4, 10). The ASPM gene encodes a large protein of 3,477 amino acids with a NH2-terminal microtubule-binding domain, two calponin homology domains, 74 repeated calmodulin-binding isoleucine-glutamine domains, and a COOH-terminal region (4, 11, 12). The NH2-terminal microtubule-binding domain is highly conserved in eukaryotes, suggesting that ASPM may possess the fundamental function in cytokinesis. However, the multidomain feature suggests that ASPM have more diverse function than the Drosophila counterpart.

Drosophila Asp protein associates with centrosomes and is involved in organizing microtubules at the spindle poles in mitosis and meiosis (6, 8, 9, 11, 1316). Centrosome defects cause chromosome misaggregation and aneuploidy, leading to genetic instability, a major driving force for malignant transformation and tumor progression (1722). Recently, ASPM is shown to express in nearly all transformed human cell lines and in multiple fetal tissues (23, 24). These findings suggest ASPM play an important role in cell cycle progression and cell proliferation in embryonic development and tumorigenesis.

Using differential display analysis of gene expression profile of hepatocelllular carcinoma (HCC), we found frequent overexpression of ASPM, which is located at chromosome 1q31, a region with frequent gain in HCC (25, 26). In this study, we showed that ASPM was often overexpressed in human HCC and associated with tumor progression, early tumor recurrence (ETR), and poor prognosis.

Differential display, reverse transcription-PCR, and definition of ASPM overexpression. Differential display was done using anchor primer HT11C (5′-AAGCTTTTTTTTTTTC-3′) and arbitrary primer HAP7 (5′-AAGCTTAACGAGG-3′) from the RNAimage kit (GenHunter) as described (2731).

Reverse transcription-PCR assays in the linear range were used for the measurements of ASPM mRNA levels using ribosomal protein S26 (RPS26; 32) or porphobilinogen deaminase (PBGD) mRNA for internal controls (33) as described (2931, 34). Primers for ASPM spanning intron 20 to avoid DNA contamination are ASPM-forward (5′-TAAAAAGACATCGAGCTGCTT-3′) and ASPM-reverse (5′-CCTCTCCATAATGCCTGAATT-3′). The primers for RPS26 are RPS26-forward (5′-CCGTGCCTCCAAGATGACAAAG-3′) and RPS26-reverse (5′-TGTCTGGTAACGGCAATGCGGCT-3′) and the primers for PBGD are PBGD-5′ (5′-TGTCTGGTAACGGCAATGCGGCT-3′) and PBGD-3′ (5′-GGTCCACTTCATTCTTCTCCAG-3′). Relative ASPM mRNA level was determined as the ratio of ASPM to PBGD as described (2931, 34, 35) and scored as high (ratio ≥ 1.0; 128 cases), medium (0.5 < ratio < 1.0; 18 cases), low (ratio < 0.5; 39 cases), trace (ratio < 0.2; 44 cases), and negative (24 cases). In 227 nontumorous livers examined, none had a ratio exceeding 0.5. Hence, a ratio ≥ 0.5 was regarded as ASPM overexpression.

Patients, histologic study, ETR, follow-up observation, and p53 mutation. Between 1983 and 1997, 247 surgically resected, unifocal, primary HCC pathologically assessed at the National Taiwan University Hospital, as described (3639), formed the basis of this study. This study was executed according to the regulations of the Ethical Committee of the National Taiwan University Hospital. These patients, ages 14 to 88 years (mean, 55.5 years) and with adequate liver function reserve, had survived for 2 months after hepatectomy, and none received transhepatic arterial embolization or chemotherapy before surgery. The tumor was ≤3 cm in 56 cases and >5 cm in 137 cases. The tumor grade was classified into grade I to IV. The tumor staging was classified into five groups, which closely correlated with survival in 781 unifocal surgical HCC patients, as described (35). Stage I and II HCC had no vascular invasion. In contrast, stage IIIA to IV HCC had vascular invasion, with various extents of microscopic intrahepatic spread in stage IIIB and IV HCC.

During the follow-up observation up to 236 months until January 2008, 245 (99%) cases had been followed for >5 years (90 cases) or until death (155 cases). Intrahepatic tumor recurrence and/or distant metastasis detected within 12 months after tumor resection were defined as ETR, which was detected in 107 (47%) of 226 eligible cases. The diagnosis of recurrence and/or metastasis was based on serum α-fetoprotein (AFP) elevation, imaging findings (ultrasonography, computer tomography, angiography, bone scan, and magnetic resonance imaging), and histology as described (30, 34, 35). The details of category in patients, histologic study, and ETR were described in Supplementary Material. In cases with ETR, patients with only early intrahepatic recurrence had much better survival.

Mutations of p53 tumor suppressor gene, spanning exons 2 to 11, were detected by DNA sequencing as described (38, 40, 41).

To validate the clinicopathologic significance of ASPM expression, patients were randomly assigned to two groups, the learning set (124 cases) and test set (123 cases).

Statistical analysis. The statistical significance of differences of selected clinicopathologic features between those with and without ASPM mRNA overexpression was assessed by χ2 tests. For 5-year survival analysis, person-months were calculated from the date of resection to the date of death or 60 months for those who survived for >5 years. P values < 0.05 or a 95% confidence interval (95% CI), not including 1, were considered statistically significant. Multivariate analyses of grade and stage were conducted by fitting multiple logistic regression models (42) and then times to ETR and death were analyzed by fitting multiple Cox's proportional hazards models (43). Basic model-fitting techniques for (a) variable selection, (b) goodness-of-fit assessment, and (c) regression diagnostics (including residual analysis, influence analysis, and check of multicollinearity) were used in our regression analyses to assure the quality of analysis results (42, 43). Two-tailed P < 0.05 was considered statistically significant.

ASPM mRNA expression in fetal and adult tissues and various solid types of human cancer. By the differential display analysis, we identified a 240-bp cDNA, which was often expressed in HCC and had sequence identical to human ASPM (Genbank NM_018136; Fig. 1A). Using reverse transcription-PCR at the linear range, ASPM mRNA was expressed in relative abundance in most fetal tissues, including the liver (Fig. 1B), and all the cell lines examined (Fig. 1C), but the level was very low in most adult tissues (Fig. 1B).

Fig. 1.

A, differential display analysis. Among 10 pairs of hepatocellular carcinoma (T) and nontumorous liver (L) samples, a significant differential band ∼240 bp (arrow) was overexpressed in 6 tumors. B, ASPM mRNA expression in adult and fetal tissues. Using reverse transcription-PCR measurements, ASPM mRNA was expressed in high level in multiple fetus tissues but not in adult tissues. brain-c, brain cortex; brain-m, brain white matter. C, ASPM mRNA expression in multiple cancer and noncancer cell lines. ASPM, 28 cycles; RPS26, RPS26 mRNA was amplified at 22 cycles as internal control.

Fig. 1.

A, differential display analysis. Among 10 pairs of hepatocellular carcinoma (T) and nontumorous liver (L) samples, a significant differential band ∼240 bp (arrow) was overexpressed in 6 tumors. B, ASPM mRNA expression in adult and fetal tissues. Using reverse transcription-PCR measurements, ASPM mRNA was expressed in high level in multiple fetus tissues but not in adult tissues. brain-c, brain cortex; brain-m, brain white matter. C, ASPM mRNA expression in multiple cancer and noncancer cell lines. ASPM, 28 cycles; RPS26, RPS26 mRNA was amplified at 22 cycles as internal control.

Close modal

In clinical tissue samples, ASPM mRNA overexpression was found in 162 (66%) of 247 surgically removed, unifocal, primary HCC (Fig. 2) but in none of hepatocellular adenomas (4 cases), focal nodular hyperplasia (10 cases), and nontumorous livers (227 cases).

Fig. 2.

Expression of ASPM mRNA in hepatocellular carcinoma. The ASPM/PBGD ratios were listed below. Overexpression of ASPM mRNA (ASPM/PBGD ratio ≥ 0.5; asterisk) was detected in 15 of 31 representative HCC but in none of the 13 nontumorous livers. Tumor stage and tumor size are depicted above. ASPM and internal control PBGD were both amplified at 28 cycles of reverse transcription-PCR.

Fig. 2.

Expression of ASPM mRNA in hepatocellular carcinoma. The ASPM/PBGD ratios were listed below. Overexpression of ASPM mRNA (ASPM/PBGD ratio ≥ 0.5; asterisk) was detected in 15 of 31 representative HCC but in none of the 13 nontumorous livers. Tumor stage and tumor size are depicted above. ASPM and internal control PBGD were both amplified at 28 cycles of reverse transcription-PCR.

Close modal

Correlation of ASPM overexpression with HCC progression. To better understand the significance of ASPM in HCC, we correlated its mRNA expression with the major clinicopathologic features. As shown in Table 1, ASPM overexpression was strongly associated with high serum AFP level (>200 ng/mL; P = 1 × 10-8). Importantly, ASPM overexpression closely correlated with high-grade HCC [grade II-IV; odds ratio (OR), 5.1; 95% CI, 2.6-10; P = 1 × 10-7] and high-stage HCC (stages IIIA-IV versus II; OR, 30.6; 95% CI, 13.1-73.6; P = 1 × 10-8). ASPM overexpression also occurred more often in bigger tumors (>5 cm) but less distinct (P = 0.014).

Table 1.

Correlation of ASPM mRNA expression with clinicopathologic features and aberrant gene expression in hepatocellular carcinoma by univariate logistic regression analyses

VariableASPM overexpression
Totaln (%)OR (95% CI)P
Age (y)     
    ≤56 116 83 (60) 1.0  
    >56 131 79 (603) 1.66 (0.94-2.93) 0.0063 
Gender     
    Male 194 121 (62) 1.0  
    Female 53 41 (77) 2.06 (0.97-4.44) 0.042 
Serum HBsAg     
    − 88 47 (53) 1.0  
    + 159 115 (72) 2.28 (1.28-4.08) 0.0027 
AFP (ng/mL)     
    ≤200 131 63 (48) 1.0  
    >200 116 99 (85) 6.29 (3.25-12.26) 1 × 10−8 
Liver cirrhosis     
    Yes 95 60 (63) 1.0  
    No 152 102 (67) 1.19 (0.67-2.11) 0.525 
Tumor size (cm)     
    ≤5 110 63 (57) 1.0  
    >5 137 99 (72) 1.94 (1.10-3.43) 0.014 
Tumor grade     
    I 59 20 (34) 1.0  
    II 99 60 (61) 3.0 (1.45-6.23) 0.0012 
    III-IV 89 76 (85) 11.4 (4.8-27.6) 1 × 10−8 
Tumor stage     
    I 1 (17) —*  
    II 104 33 (32) 1.0  
    IIIA-IV 137 128 (93) 30.6 (13.1-73.6) 1 × 10−8 
ETR     
    No 118 53 (45) 1.0  
    Yes 107 90 (84) 6.49 (3.31-12.9) 1 × 10−8 
p53 mutation     
    No 114 62 (54) 1.0  
    Yes 98 80 (82) 3.73 (1.90-7.37) 0.000026 
VariableASPM overexpression
Totaln (%)OR (95% CI)P
Age (y)     
    ≤56 116 83 (60) 1.0  
    >56 131 79 (603) 1.66 (0.94-2.93) 0.0063 
Gender     
    Male 194 121 (62) 1.0  
    Female 53 41 (77) 2.06 (0.97-4.44) 0.042 
Serum HBsAg     
    − 88 47 (53) 1.0  
    + 159 115 (72) 2.28 (1.28-4.08) 0.0027 
AFP (ng/mL)     
    ≤200 131 63 (48) 1.0  
    >200 116 99 (85) 6.29 (3.25-12.26) 1 × 10−8 
Liver cirrhosis     
    Yes 95 60 (63) 1.0  
    No 152 102 (67) 1.19 (0.67-2.11) 0.525 
Tumor size (cm)     
    ≤5 110 63 (57) 1.0  
    >5 137 99 (72) 1.94 (1.10-3.43) 0.014 
Tumor grade     
    I 59 20 (34) 1.0  
    II 99 60 (61) 3.0 (1.45-6.23) 0.0012 
    III-IV 89 76 (85) 11.4 (4.8-27.6) 1 × 10−8 
Tumor stage     
    I 1 (17) —*  
    II 104 33 (32) 1.0  
    IIIA-IV 137 128 (93) 30.6 (13.1-73.6) 1 × 10−8 
ETR     
    No 118 53 (45) 1.0  
    Yes 107 90 (84) 6.49 (3.31-12.9) 1 × 10−8 
p53 mutation     
    No 114 62 (54) 1.0  
    Yes 98 80 (82) 3.73 (1.90-7.37) 0.000026 
*

Stage I HCC was not used for comparison because of the small number of cases, low frequency of ASPM overexpression, and unique lack of ETR.

ETR within 12 mo after hepatectomy.

ASPM overexpression as an important predictive marker for ETR and poor prognosis. ETR is the most critical, early clinical factor predictive of poor prognosis of HCC after hepatectomy (30, 35). ETR occurred two times higher in HCC with ASPM overexpression than in HCC without the overexpression (P = 1 × 10-8; Table 2). Early metastasis was also found more often in HCC with ASPM overexpression [28% (30 of 107) versus 11% (8 of 73); P = 0.006]. With the close correlation with high tumor stage and ETR, the two most crucial histopathologic and clinical unfavorable prognostic factors, HCC with ASPM overexpression had lower 5-year survival than those without the overexpression (P = 0.000001; Fig. 3). We then examined the postoperative treatment modalities and metastasis, which could affect significantly the patient's outcome, and found no significant difference in both groups of patients. Surgical tumor resection and/or transarterial chemoembolization of the intrahepatic recurrent and distant metastatic lesions were done in 50 (56%) of 90 HCC with ETR and ASPM overexpression and in 13 (76%) of 17 HCC with ETR but without ASPM overexpression (P = 0.108). Surgical resection was done for early metastatic tumor in 14% (4 of 29) of HCC with ASPM overexpression and in 25% (2 of 8) without ASPM overexpression (P = 0.591).

Table 2.

Correlation of clinicopathologic variables and ASPM expression with ETR of resected hepatocellular carcinoma

Variable*ETR
Totaln (%)OR (95% CI)P
Clinical features     
    Age (y)     
        >56 115 49 (43) 1.0  
        ≤56 110 58 (53) 1.5 (0.86-2.63) 0.129 
    Sex     
        Male 177 79 (45) 1.0  
        Female 49 28 (57) 1.65 (0.83-3.29) 0.121 
    Cirrhosis     
        No 141 68 (48) 1.0  
        Yes 85 39 (46) 0.91 (0.51-1.62) 0.732 
    HBsAg     
        Negative 83 35 (42) 1.0  
        Positive 143 72 (50) 1.39 (0.78-2.49) 0.235 
Histopathologic variables     
    Tumor size (cm)     
        ≤5 102 31 (30) 1.0  
        >5 123 76 (62) 3.7 (2.05-6.73) 3 × 10−6 
    Tumor grade     
        I 58 14 (24) 1.0  
        II-IV 167 93 (56) 3.95 (1.92-8.22) <0.00004 
    Tumor stage     
        I 0 (0) —  
        II 99 22 (22) 1.0  
        IIIA-IV 120 85 (71) 8.5 (4.4-16.6) 1 × 10−8 
Molecular markers     
    p53 mutation     
        No 103 35 (34) 1.0  
        Yes 90 55 (61) 3.05 (1.62-5.75) 0.00016 
    AFP (ng/mL)     
        ≤200 121 40 (33) 1.0  
        >200 104 67 (64) 3.67 (2.04-6.63) 3 × 10−6 
    ASPM ↑*     
        No 82 17 (22) 1.0  
        Yes 143 90 (63) 6.49 (3.31-12.9) 1 × 10−8 
Variable*ETR
Totaln (%)OR (95% CI)P
Clinical features     
    Age (y)     
        >56 115 49 (43) 1.0  
        ≤56 110 58 (53) 1.5 (0.86-2.63) 0.129 
    Sex     
        Male 177 79 (45) 1.0  
        Female 49 28 (57) 1.65 (0.83-3.29) 0.121 
    Cirrhosis     
        No 141 68 (48) 1.0  
        Yes 85 39 (46) 0.91 (0.51-1.62) 0.732 
    HBsAg     
        Negative 83 35 (42) 1.0  
        Positive 143 72 (50) 1.39 (0.78-2.49) 0.235 
Histopathologic variables     
    Tumor size (cm)     
        ≤5 102 31 (30) 1.0  
        >5 123 76 (62) 3.7 (2.05-6.73) 3 × 10−6 
    Tumor grade     
        I 58 14 (24) 1.0  
        II-IV 167 93 (56) 3.95 (1.92-8.22) <0.00004 
    Tumor stage     
        I 0 (0) —  
        II 99 22 (22) 1.0  
        IIIA-IV 120 85 (71) 8.5 (4.4-16.6) 1 × 10−8 
Molecular markers     
    p53 mutation     
        No 103 35 (34) 1.0  
        Yes 90 55 (61) 3.05 (1.62-5.75) 0.00016 
    AFP (ng/mL)     
        ≤200 121 40 (33) 1.0  
        >200 104 67 (64) 3.67 (2.04-6.63) 3 × 10−6 
    ASPM ↑*     
        No 82 17 (22) 1.0  
        Yes 143 90 (63) 6.49 (3.31-12.9) 1 × 10−8 
*

↑, mRNA overexpression.

Fig. 3.

A, cumulative survival curves for HCC in relation to ASPM overexpression (↑). HCC with ASPM mRNA overexpression (Yes) had significantly lower 5-yr survival rate than HCC without ASPM overexpression (No; P = 0.000001, log-rank test). B, cumulative survival for HCC without p53 mutation. The 5-yr survival rate of HCC with ASPM overexpression was lower than HCC without ASPM overexpression (P = 0.0055, log-rank test). C, cumulative survival for HCC with p53 mutation. The 5-yr survival rate of HCC with ASPM overexpression was lower than HCC without ASPM overexpression (P = 0.0009, log-rank test).

Fig. 3.

A, cumulative survival curves for HCC in relation to ASPM overexpression (↑). HCC with ASPM mRNA overexpression (Yes) had significantly lower 5-yr survival rate than HCC without ASPM overexpression (No; P = 0.000001, log-rank test). B, cumulative survival for HCC without p53 mutation. The 5-yr survival rate of HCC with ASPM overexpression was lower than HCC without ASPM overexpression (P = 0.0055, log-rank test). C, cumulative survival for HCC with p53 mutation. The 5-yr survival rate of HCC with ASPM overexpression was lower than HCC without ASPM overexpression (P = 0.0009, log-rank test).

Close modal

In addition to the close association with vascular invasion (stage IIIA-IV) and ETR, ASPM overexpression was also associated with higher ETR in stage II HCC, which had no evidence of vascular invasion [28% (12 of 31) versus 11% (10 of 68); P = 0.008].

Interaction of ASPM overexpression with p53 mutation and high AFP in relation to ETR and prognosis. The p53 gene is the most commonly mutated gene in HCC and associated with more aggressive tumor (38, 40). High serum AFP is the most widely used diagnostic marker and associated with more aggressive HCC, ETR, and poor prognosis (35). In this study, we showed that ASPM overexpression correlated with high AFP (P = 1 × 10-8) and p53 mutation (P = 0.000026; Table 1). We then analyzed their roles and the major clinicopathologic factors in relation to ETR. As shown in Table 2, tumor size, tumor grade, and tumor stage were important histopathologic risk factors for ETR, particularly high tumor stage (P = 1 × 10-8), whereas ASPM overexpression, high AFP, and p53 mutation were the molecular risk factors, particularly ASPM overexpression (P = 1 × 10-8). By multivariate regression analysis, ASPM overexpression directly correlated with ETR after considering tumor size, tumor stage, and p53 mutation (Table 3). The multivariate regression analysis also showed that ASPM overexpression directly correlated with high tumor stage after considering tumor size (Table 3). Regardless of p53 mutation, ASPM overexpression was associated with vascular invasion (P values = 1 × 10-8), ETR (P values < 0.001) (Supplementary Table S1), and hence lower 5-year survival rate in both non-p53-mutated and p53-mutated HCC (P = 0.0027 and 0.00008, respectively; Fig. 3).

Table 3.

Multivariate analyses of risk factors associated with ETR, tumor stage, and survival of patients with unifocal hepatocellular carcinoma

CovariateVariable estimateSEWald χ2POdds/hazard ratio
ETR (yes)*      
    Intercept -2.2895 0.3879 34.8380 <0.0001 — 
    Size 0.1147 0.0392 8.5624 0.0034 1.122 
    Stage (III-IV) 1.3713 0.4024 11.6153 0.0007 3.940 
    ASPM 0.9186 0.4181 4.8259 0.0280 2.506 
High stage (stage III-IV; vascular invasion; yes)      
    Intercept -5.7916 1.0458 30.6664 <0.0001 — 
    Size 0.2100 0.0809 6.7391 0.0094 1.234 
    ASPM 2.6917 0.7291 13.6304 0.0002 14.757 
Survival time (death)      
    Size 0.05917 0.01987 8.8623 0.0029 1.061 
    High stage 0.17570 0.06478 7.3564 0.0067 1.192 
    ETR 1.82381 0.22868 63.6048 <0.0001 6.195 
CovariateVariable estimateSEWald χ2POdds/hazard ratio
ETR (yes)*      
    Intercept -2.2895 0.3879 34.8380 <0.0001 — 
    Size 0.1147 0.0392 8.5624 0.0034 1.122 
    Stage (III-IV) 1.3713 0.4024 11.6153 0.0007 3.940 
    ASPM 0.9186 0.4181 4.8259 0.0280 2.506 
High stage (stage III-IV; vascular invasion; yes)      
    Intercept -5.7916 1.0458 30.6664 <0.0001 — 
    Size 0.2100 0.0809 6.7391 0.0094 1.234 
    ASPM 2.6917 0.7291 13.6304 0.0002 14.757 
Survival time (death)      
    Size 0.05917 0.01987 8.8623 0.0029 1.061 
    High stage 0.17570 0.06478 7.3564 0.0067 1.192 
    ETR 1.82381 0.22868 63.6048 <0.0001 6.195 
*

Logistic regression model (n = 226), percentage of concordant pairs = 80.2%, percentage of discordant pairs = 18.7%, Hosmer and Lemeshow goodness-of-fit test P = 0.8374 > 0.05 (df = 7).

Logistic regression model (n = 141), percentage of concordant pairs = 94.9%, percentage of discordant pairs = 4.9%, Hosmer and Lemeshow goodness-of-fit test P = 0.7419 > 0.05 (df = 8).

Cox's proportional hazards model (n = 247).

ASPM plays an important role in the neuronogenesis and its mutation is the major cause of primary microencephaly (15, 44). Recent studies have shown that ASPM is located to the centrosomes, spindle poles, and midbody (23, 45) and plays an important role in cytokinesis and cell proliferation in the transformed human cell lines, fetal tissues, and human cancer cells (23). Despite these elegant observations, the significance of ASPM in human cancer has not been fully investigated. In this study, we showed ASPM mRNA overexpression in 66% of 247 surgical removed, unifocal primary HCC and in 54% of 167 other types of human cancer, including hepatoblastoma, cholangiocarcinoma, and carcinomas of other anatomic sites (data not shown), consistent with the observations reported by other investigators (23). Besides, ASPM mRNA was expressed abundantly in most fetal tissues, including the liver. In contrast, ASPM mRNA level was very low or undetectable in many adult tissues, including liver, and benign hepatic tumor conditions, such as hepatocellular adenoma and focal nodular hyperplasia. These findings suggest that ASPM is actively involved in cell proliferation in embryonic development and the tumorigenesis of HCC and various other types of human cancer, whereas ASPM down-regulation is associated with tissue maturation and cell differentiation.

To elucidate the role of ASPM in HCC, we correlated its mRNA expression with the major clinical and histopathologic variables associated with tumor progression. We showed that ASPM overexpression correlated with high serum AFP level (>200 ng/mL; P = 1 × 10-8) and poorly differentiated (grade II-IV) tumor (P = 1 × 10-7) but less significantly with bigger tumor (>5 cm; P = 0.014). These findings suggest that ASPM overexpression in HCC facilitates tumor cell proliferation, leading to bigger tumor and less differentiation, which are associated with high AFP level (35). Importantly, ASPM overexpression was associated with high-stage (stage IIIA, IIIB, and IV) HCC that had vascular invasion and various extents of intrahepatic metastasis (OR, 30.6; 95% CI, 13.1-73.6; P = 1 × 10-8). These findings suggest that HCC with ASPM overexpression harbor enhanced invasion/metastasis potential.

HCC is a dreadful disease difficult to treat; surgical resection provides an opportunity for cure. Despite the significant improvement of earlier diagnosis and better management, the outcome of HCC after tumor resection remains unsatisfactory because of the high tumor recurrence rate (30, 4648). ETR is the most crucial unfavorable, clinical prognostic factor for surgical HCC patients, and <20% of the patients with ETR could survive >5 years after tumor resection, whereas >50% of patients without ETR did (30). Hence, ETR can be regarded as a crucial clinical event before death, and markers for the prediction of ETR are needed. Although the list of molecular factors associated with ETR expands rapidly (30, 34, 35, 4951), the number of markers useful as predictors of ETR remains limited and their interaction has not been well investigated. Here, we showed that HCC with ASPM overexpression had ETR ∼2-fold higher than HCC without the overexpression (OR, 6.49; 95% CI, 3.31-12.9; P = 1 × 10-8). In addition to the close association with vascular invasion (stage IIIA-IV) and ETR, ASPM overexpression was also associated with higher ETR in stage II HCC (low stage), which had no microscopic evidence of vascular invasion (P = 0.008). These findings suggest that ASPM overexpression serves as a useful predictive marker to identify surgical HCC at high risk of ETR regardless of p53 mutation status and tumor stage.

Using univariate analysis, tumor size, tumor grade, and tumor stage were important histopathologic risk factors for ETR, particularly high tumor stage (P = 1 × 10-8), whereas ASPM overexpression, high AFP, and p53 mutation were the molecular risk factors, particularly ASPM overexpression (P = 1 × 10-8). The multivariate regression analysis showed that ASPM overexpression directly correlated with high tumor stage after considering tumor size and ASPM overexpression directly correlated with ETR after considering tumor size, tumor stage, and p53 mutation. These findings indicate that ASPM overexpression is an independent risk factor of high-stage HCC, and conditioning on high stage and tumor size, ASPM overexpression is also an independent risk factor of ETR.

With the close association with high tumor stage and ETR, the two most crucial histopathologic and clinical factors associated with poor prognosis, HCC with ASPM overexpression had a significantly lower 5-year survival than HCC without the overexpression (P = 0.000001). Together, our findings indicate that ASPM overexpression contribute to higher tumor stage and frequent ETR, leading to poor prognosis, and a combined analysis of multiple molecular factors provides a more accurate assessment of risk for ETR and prognosis of HCC.

In addition to the association with centrosomes and involvement in cell division (23, 45), we showed that ASPM was cell cycle regulated (data not shown). The p53 plays important roles in cell cycle progression, and p53 mutation is the most commonly mutated gene in HCC in association with more aggressive tumor (38, 40). We then analyzed the interaction between ASPM overexpression and p53 mutation, the latter would be accompanied by the loss of G1 (52) and G2-M checkpoints (53), in HCC progression. In both HCC with and without p53 mutation, ASPM overexpression was associated with higher vascular invasion (P values = 1 × 10-8), ETR (P values < 0.001 and P = 1 × 10-8, respectively), and lower 5-year survival rate (P = 0.0027 and 0.0008, respectively). These findings indicate that ASPM overexpression is an important factor associated with HCC progression. However, it was also noted that HCC with p53 mutation and ASPM overexpression had the highest frequencies of vascular invasion and ETR and the lowest 5-year survival. These findings suggest that the loss of p53-mediated checkpoint contributes cooperatively with the ASPM overexpression toward more advanced disease, with higher ETR and poorer prognosis.

No potential conflicts of interest were disclosed.

Grant support: National Health Research Institute, Department of Health of the Republic of China, Taiwan grant NHRI-EX94-9427NI, and National Science Council of the Republic of China, Taiwan grant NSC94-3112-B-002-018.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).

S-Y. Lin and H-W. Pan contributed equally to this work.

Current address for S-H. Liu: Department of Medical Research, Mackay Memorial Hospital, Danshui, Taipei County, Taiwan, Republic of China.

We thank Chia-Yen Su for excellent technical assistance.

1
Bundey S. Abnormal mental development. In: Rimoin DL, Connor JM, Pyeritz RE, editors. Emery and Rimoin's principles and practice of medical genetics. 3rd ed. New York: Churchill Livingstone; 1997. p. 730–1.
2
Aicardi J. Malformations of the central nervous system. Diseases of the nervous system in childhood. 2nd ed. London: Mac Keith; 1998. p. 90–1.
3
Mochida GH, Walsh CA. Molecular genetics of human microcephaly.
Curr Opin Neurol
2001
;
14
:
151
–6.
4
Bond J, Roberts E, Mochida GH, et al. ASPM is a major determinant of cerebral cortical size.
Nat Genet
2002
;
32
:
316
–20.
5
Kumar A, Blanton SH, Babu M, Markandaya M, Girimaji SC. Genetic analysis of primary microcephaly in Indian families: novel ASPM mutations.
Clin Genet
2004
;
66
:
341
–8.
6
Wakefield JG, Bonaccorsi S, Gatti M. The Drosophila protein asp is involved in microtubule organization during spindle formation and cytokinesis.
J Cell Biol
2001
;
153
:
637
–48.
7
Gonzalez C, Molina I, Casal J, Ripoll P. Gross genetic dissection and interaction of the chromosomal region 95E;96F of Drosophila melanogaster.
Genetics
1989
;
123
:
371
–7.
8
Gonzalez C, Saunders RD, Casal J, et al. Mutations at the asp locus of Drosophila lead to multiple free centrosomes in syncytial embryos, but restrict centrosome duplication in larval neuroblasts.
J Cell Sci
1990
;
96
:
605
–16.
9
Ripoll P, Pimpinelli S, Valdivia MM, Avila J. A cell division mutant of Drosophila with a functionally abnormal spindle.
Cell
1985
;
41
:
907
–12.
10
Bond J, Scott S, Hampshire DJ, et al. Protein-truncating mutations in ASPM cause variable reduction in brain size.
Am J Hum Genet
2003
;
73
:
1170
–7.
11
Saunders RD, Avides MC, Howard T, Gonzalez C, Glover DM. The Drosophila gene abnormal spindle encodes a novel microtubule-associated protein that associates with the polar regions of the mitotic spindle.
J Cell Biol
1997
;
137
:
881
–90.
12
Craig R, Norbury C. The novel murine calmodulin-binding protein Sha1 disrupts mitotic spindle and replication checkpoint functions in fission yeast.
J Cell Sci
1998
;
111
:
3609
–19.
13
do Carmo Avides M, Glover DM. Abnormal spindle protein, Asp, and the integrity of mitotic centrosomal microtubule organizing centers.
Science
1999
;
283
:
1733
–5.
14
do Carmo Avides M, Tavares A, Glover DM. Polo kinase and Asp are needed to promote the mitotic organizing activity of centrosomes.
Nat Cell Biol
2001
;
3
:
421
–4.
15
Andersen JS, Wilkinson CJ, Mayor T, Mortensen P, Nigg EA, Mann M. Proteomic characterization of the human centrosome by protein correlation profiling.
Nature
2003
;
426
:
570
–4.
16
Ponting CP. A novel domain suggests a ciliary function for ASPM, a brain size determining gene.
Bioinformatics
2006
;
22
:
1031
–5.
17
Lengauer C, Kinzler KW, Vogelstein B. Genetic instabilities in human cancers.
Nature
1998
;
396
:
643
–9.
18
Cahill DP, Kinzler KW, Vogelstein B, Lengauer C. Genetic instability and Darwinian selection in tumours.
Trends Cell Biol
1999
;
9
:
M57
–60.
19
Pihan GA, Purohit A, Wallace J, et al. Centrosome defects and genetic instability in malignant tumors.
Cancer Res
1998
;
58
:
3974
–85.
20
Pihan GA, Doxsey SJ. The mitotic machinery as a source of genetic instability in cancer.
Semin Cancer Biol
1999
;
9
:
289
–302.
21
Carroll PE, Okuda M, Horn HF, et al. Centrosome hyperamplification in human cancer: chromosome instability induced by p53 mutation and/or Mdm2 overexpression.
Oncogene
1999
;
18
:
1935
–44.
22
Brinkley BR. Managing the centrosome numbers game: from chaos to stability in cancer cell division.
Trends Cell Biol
2001
;
11
:
18
–21.
23
Kouprina N, Pavlicek A, Collins NK, et al. The microcephaly ASPM gene is expressed in proliferating tissues and encodes for a mitotic spindle protein.
Hum Mol Genet
2005
;
14
:
2155
–65.
24
Rhoads A, Kenguele H. Expression of IQ-motif genes in human cells and ASPM domain structure.
Ethn Dis
2005
;
15
:
S5
–88–91.
25
Guan XY, Fang Y, Sham JS, et al. Recurrent chromosome alterations in hepatocellular carcinoma detected by comparative genomic hybridization.
Genes Chromosomes Cancer
2000
;
29
:
110
–6.
26
Leung TH, Wong N, Lai PB, et al. Identification of four distinct regions of allelic imbalances on chromosome 1 by the combined comparative genomic hybridization and microsatellite analysis on hepatocellular carcinoma.
Mod Pathol
2002
;
15
:
1213
–20.
27
Hsu HC, Cheng W, Lai PL. Cloning and expression of a developmentally regulated transcript MXR7 in hepatocellular carcinoma: biological significance and temporospatial distribution.
Cancer Res
1997
;
57
:
5179
–84.
28
Huang LR, Hsu HC. Cloning and expression of CD24 gene in human hepatocellular carcinoma: a potential early tumor marker gene correlates with p53 mutation and tumor differentiation.
Cancer Res
1995
;
55
:
4717
–21.
29
Liu SH, Lin CY, Peng SY, et al. Down-regulation of Annexin A10 in hepatocellular carcinoma is associated with vascular invasion, early recurrence, and poor prognosis in synergy with p53 mutation.
Am J Pathol
2002
;
160
:
1831
–7.
30
Pan HW, Ou YH, Peng SY, et al. Overexpression of osteopontin is associated with intrahepatic metastasis, early recurrence, and poorer prognosis of surgically resected hepatocellular carcinoma.
Cancer
2003
;
98
:
119
–27.
31
Pan HW, Chou HYE, Liu SH, Peng SY, Liu CL, Hsu HC. Role of L2DTL, cell cycle-regulated nuclear and centrosome protein, in aggressive hepatocellular carcinoma.
Cell Cycle
2006
;
5
:
2676
–87.
32
Vincent S, Marty L, Fort P. S26 ribosomal protein RNA: an invariant control for gene regulation experiments in eucaryotic cells and tissues.
Nucleic Acids Res
1993
;
21
:
1498
.
33
Grandchamp B, De Verneuil H, Beaumont C, Chretien S, Walter O, Nordmann Y. Tissue-specific expression of porphobilinogen deaminase. Two isoenzymes from a single gene.
Eur J Biochem
1987
;
162
:
105
–10.
34
Peng SY, Ou YH, Chen WJ, et al. Aberrant expressions of Annexin A10 short isoform, osteopontin and α-fetoprotein at chromosome 4q cooperatively contribute to progression and poor prognosis of hepatocellular carcinoma.
Int J Oncol
2005
;
26
:
1053
–61.
35
Peng SY, Chen WJ, Lai PL, Jeng YM, Sheu JC, Hsu HC. High α-fetoprotein level correlates with high stage, early recurrence and poor prognosis of hepatocellular carcinoma: significance of hepatitis virus infection, age, p53 and β-catenin mutations.
Int J Cancer
2004
;
112
:
44
–50.
36
Hsu HC, Wu TT, Wu MZ, Sheu JC, Lee CS, Chen DS. Tumor invasiveness and prognosis in resected hepatocellular carcinoma. Clinical and pathogenetic implications.
Cancer
1988
;
61
:
2095
–9.
37
Hsu HC, Chiou TJ, Chen JY, Lee CS, Lee PH, Peng SY. Clonality and clonal evolution of hepatocellular carcinoma with multiple nodules.
Hepatology
1991
;
13
:
923
–8.
38
Hsu HC, Tseng HJ, Lai PL, Lee PH, Peng SY. Expression of p53 gene in 184 unifocal hepatocellular carcinomas: association with tumor growth and invasiveness.
Cancer Res
1993
;
53
:
4691
–4.
39
Hsu HC, Jeng YM, Mao TL, Chu JS, Lai PL, Peng SY. β-Catenin mutations are associated with a subset of low-stage hepatocellular carcinoma negative for hepatitis B virus and with favorable prognosis.
Am J Pathol
2000
;
157
:
763
–70.
40
Hsu HC, Peng SY, Lai PL, Chu JS, Lee PH. Mutations of p53 gene in hepatocellular carcinoma (HCC) correlate with tumor progression and patient prognosis.
Int J Oncol
1994
;
4
:
1341
–7.
41
Hsu HC, Peng SY, Lai PL, et al. Allelotype and loss of heterozygosity of p53 in primary and recurrent hepatocellular carcinomas. A study of 150 patients.
Cancer
1994
;
73
:
42
–7.
42
Hosmer DW, Lemeshow S. Applied logistic regression. 2nd ed. New York (NY): John Wiley & Sons; 2000.
43
Hosmer DW, Lemeshow S. Applied survival analysis: regression modeling of time to event data. New York (NY): John Wiley & Sons; 1999.
44
Kumar A, Markandaya M, Girimaji SC. Primary microcephaly: microcephalin and ASPM determine the size of the human brain.
J Biosci
2002
;
27
:
629
–32.
45
Paramasivam M, Chang YJ, LoTurco JJ. ASPM and citron kinase co-localize to the midbody ring during cytokinesis.
Cell Cycle
2007
;
6
:
1605
–12.
46
Nagasue N, Uchida M, Makino Y, et al. Incidence and factors associated with intrahepatic recurrence following resection of hepatocellular carcinoma.
Gastroenterology
1993
;
105
:
488
–94.
47
Hu RH, Lee PH, Yu SC, et al. Surgical resection for recurrent hepatocellular carcinoma: prognosis and analysis of risk factors.
Surgery
1996
;
120
:
23
–9.
48
Poon RT, Fan ST, Ng IO, Lo CM, Liu CL, Wong J. Different risk factors and prognosis for early and late intrahepatic recurrence after resection of hepatocellular carcinoma.
Cancer
2000
;
89
:
500
–7.
49
Tang ZY, Ye SL, Liu YK, et al. A decade's studies on metastasis of hepatocellular carcinoma.
J Cancer Res Clin Oncol
2004
;
130
:
187
–96.
50
Matoba K, Iizuka N, Gondo T, et al. Tumor HLA-DR expression linked to early intrahepatic recurrence of hepatocellular carcinoma.
Int J Cancer
2005
;
115
:
231
–40.
51
Uenishi T, Kubo S, Yamamoto T, et al. Cytokeratin 19 expression in hepatocellular carcinoma predicts early postoperative recurrence.
Cancer Sci
2003
;
94
:
851
–7.
52
Eastman A. Cell cycle checkpoints and their impact on anticancer therapeutic strategies.
J Cell Biochem
2004
;
91
:
223
–31.
53
Stark GR, Taylor WR. Analyzing the G2-M checkpoint.
Methods Mol Biol
2004
;
280
:
51
–82.

Supplementary data