Literature DB >> 29675105

Association of WWOX rs9926344 polymorphism with poor prognosis of hepatocellular carcinoma.

Wanyong Chen1,2,3, Chenhao Zhou1, Wentao Zhang1, Manar Atyah1, Yirui Yin1, Lei Guo1, Weiguo Tang1,2,3, Qiongzhu Dong3,4, Qinghai Ye1, Ning Ren1,2,3.   

Abstract

Introduction: The WW domain-containing oxidoreductase (WWOX), widely expressed in human tissues, is considered as a tumor suppressor gene and plays an important role in the incidence and progression of human cancer, HCC included. This study was to investigate the correlation between single nucleotide polymorphisms (SNPs) of the WWOX gene and the prognosis of hepatocellular carcinoma (HCC) patients. Materials and
Methods: After a total of 152 HCC patients were recruited, 8 cases with tumor recurrence within 2-years after operation and 8 cases without recurrence were selected randomly for SNP genotyping and screening using Affymetrix Array 6.0. And then we confirmed candidate SNPs in the remaining 136 patients by time-of-flight mass spectrometry (TOF-MS).
Results: In total, 32 SNPs were screened and identified as candidate SNPs with one SNP in particular, (rs9926344), being further verified to be valuable. We found that AA+AG genotype and A allele of WWOX rs9926344 were significantly associated with recurrent risk of HCC (p=0.002 and p=0.001, respectively). The Kaplan-Meier curve showed that patients carrying rs9926344 AA +AG genotype had poor RFS (P=0.004) and OS (P=0.005) compared to those carrying GG genotypes. The multivariate COX regression analysis showed that the AA+AG genotype were an independent prognostic factor for tumor recurrence (HR 1.787, 95% CI 1.042-3.064, P=0.035). Furthermore, IHC analysis showed that the WWOX protein down-regulation is more frequent in patients with AG genotype compared to those with GG genotype (P=0.023).
Conclusion: Our findings indicate that WWOX rs9926344 polymorphism is positively correlated with tumor recurrence and can be used as an independent prognostic marker for HCC patients after operation.

Entities:  

Keywords:  WWOX gene; hepatocellular carcinoma; prognosis; recurrence; single nucleotide polymorphism

Year:  2018        PMID: 29675105      PMCID: PMC5907672          DOI: 10.7150/jca.23808

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Hepatocellular carcinoma (HCC), which accounts for 70-90% of primary liver cancer, is one of the most common human cancers and considered to be the leading cause of cancer-related death worldwide 1, 2. The global cancer statistics showed that a total of 782,500 new liver cancer cases and 745,500 deaths occurred during 2012, around half of those cases and deaths happen in China, mainly due to the high prevalence of hepatitis B virus (HBV) infection in its population 3. Although its mortality decreased gradually due to the rapid development of therapeutic methods, including the technological progress of surgical operations, the long-term prognosis remains unsatisfactory. The main reason for the poor clinical outcome in HCC patients is postoperative recurrence. For example, recent study has pointed out that the recurrence rate after resection is approximate 50% within the first 2 year and 75% within the first 5 year 4. However, no effective neoadjuvant or adjuvant therapies for reducing risk of recurrence are available. With the current lack of specific biomarkers for reliably predicting recurrence and long-term prognosis, the identification of new biomarkers for more effective prognosis prediction may contribute to the improvement of postoperative quality of life in HCC patients. The WW domain-containing oxidoreductase (WWOX) gene is located on chromosome 16q23.3-24.1 and spans the Common Chromosomal Fragile Site (CCFS) FRA16D. This gene is widely expressed in human tissues and encodes a protein that contains two N-terminal WW domains and a central short chain dehydrogenase/reductase domain (SDR) 5, 6. Previous studies have implicated that WWOX is considered as a tumor suppressor 7, 8 and participates in a diversity of cellular activities, such as maintaining genomic stability, controlling CNS development and moderating the mitochondrial respiratory complex 9-11. However, the exact molecular mechanisms of WWOX in the occurrence and progression of human cancer remains dismal and in need for further investigation. To date, a number of studies mainly focused on the correlations between aberrant expression of WWOX gene and human cancers 12-14. Previous studies had also pointed out that breast, esophageal and non-small cell lung cancers show high loss of heterozygosity (LOH) rates of WWOX. The LOH of WWOX gene also occurred in hepatocellular carcinoma and HCC cell line 15, 16. Considering the significant potential of WWOX in tumorigenesis and development, genetic variations within this gene are believed to affect the progression of tumor. But disappointedly, studies exploring the relationship between WWOX gene polymorphisms and tumor recurrence or HCC clinical outcome are very limited 17, 18. To test this hypothesis, 8 HCC patients with early tumor recurrence and 8 patients without recurrence were selected randomly for genotype analysis in order to identify potential SNPs between these two groups and subsquently to determine whether those candidate SNPs may be associated with clinical outcome in another group of 136 patients after curative resection.

Materials and Methods

Study population

From January to July 2009, a total of 152 pathologically confirmed HCC patients were recruited from Department of Liver Surgery, Zhongshan Hospital, Fudan University. Samples were snap-frozen in liquid nitrogen and stored at -80℃. Clinical and pathological characteristics were obtained from the clinical, including age, HBV (hepatitis B virus) status, gender, tumor number and size, tumor thrombi, TMN staging and tumor differentiation. Among those patients, 8 cases with tumor recurrence within 2-years after operation and 8 cases without tumor recurrence were selected randomly for screening the candidate SNPs in WWOX gene by using the Affymetrix Genome-Wide Human SNP 6.0 platform. The remaining 136 patients were used to verify and determine the prognostic significance of the selected SNPs of human HCC. No patients had previous history of other cancers or received any anticancer treatment before curative resection. All patients have written informed consent, and the approval of the ethical committee of Zhongshan hospital was also obtained.

Follow-up

The follow-up data were obtained through medical chart review or direct calling. The follow-up period was calculated from the date of surgery to the date of death or the last follow-up time. The latest follow-up in this study was carried out in April 2015. For postoperative surveillance of tumor recurrence, AFP, ultrasonography and emission computed tomography were used every 3 months for the first 2 year, and semiannually thereafter. If recurrence was under suspicion, supplementary examinations such as Magnetic Resonance Imaging (MRI) were performed.

DNA extraction

After thawed, the cancerous tissues obtained from 16 HCC patients and the following 136 cases were used to extract the genomic DNA (gDNA) by using the Qiaamp DNA mini kit (Qiagen, Hilden, Germany) in strict accordance with the manufacturer's instructions. Thereafter, DNA qualities were assessed on 2% agarose gel and DNA concentration was measured by NanoDrop 2000 (Thermo Scientific, Waltham, MA, USA).

SNP identification and verification

To identify candidate SNPs in WWOX gene, 16 patients, including 8 patients with tumor recurrence within 2-years after operation and 8 patents without tumor recurrence, were selected randomly for genotyping by Affymetrix Genome-Wide Human SNP 6.0 platform. Then we observed the similar distribution of genotypic and allelic frequencies of all detected SNPs in both recurrence group and non-recurrence group and calculated the difference between the two groups. Once the discrepancy rate was more than 50%, this SNP was defined as a candidate SNP and used for the following study. To verify these candidate SNPs, the remaining 136 patients were also classified as recurrence group and non-recurrence group and then further genotyped by USA Sequenom MassARRAY (TOF-MS). We also observed the distribution of genotypic and allelic frequencies of these candidate SNPs and calculated the difference between the two groups.

Immunohistochemistry

Immunohistochemistry was performed as previously described, with minor modifications according to the previous study. Formalin-fixed paraffin sections were obtained from the Department of Pathology, Zhongshan hospital. The percentage of positive cells and the intensity of immunostaining were used to produce a weighted score for each case.

Statistical analysis

Clinicopathological data were expressed as the mean ± SD. The pearson's chi-squared test or Fisher's exact test were used for comparing clinicopathologic variables. Overall survival (OS) was defined as the interval from the date of radical surgery to the date of death. Recurrence-free survival (RFS) was defined as the interval from the date of radical surgery to the first date of recurrence. OS and RFS were calculated using the Kaplan-Meier method and the log-rank test was used for determining the significance. The univariate and multivariate Cox proportional hazards regression models were used for evaluating the effects of each clinical data, and WWOX genotypes on OS or RFS. All statistical analyses were performed using SPSS 19.0 for Windows (IBM, Armonk, NY, USA) and a P-value less than 0.05 was considered statistically significant.

Result

Clinical characteristics of the study population

A total of 152 patients enrolled in this study. The basic clinicopathologic data of the patients are summarized in Table 1. In the SNP array analysis, 16 patients, including 8 patients with tumor recurrence within 2-years after operation and 8 patients without tumor recurrence, were selected randomly. In the TOF-MS analysis, the remaining 136 patients, including 117 males and 19 females, were analyzed in the following study with a mean age of 53.1 ± 11.2 years, ranging from 26 to 78. 111 patients (81.6%) were HBV markers positive. 120 (88.2%) patients had liver cirrhosis and 48 (35.3%) patients had tumor thrombi, including macroscopic and microscopic tumor thrombi. 90 patients were TNM-StageⅠand Ⅱ based on the criterion of TNM staging system, established in 2010 by the the American Joint Committee on Cancer (AJCC) and the Union for International Cancer Control (UICC).
Table 1

Distribution of 152 HCC patients' characteristics

Variablesthe SNP array analysisthe TOF-MS analysisχ2P-value
All patients (n=16)All patients (n=136)
Age, ≥ 50 years (%)7 (43.8)80 (58.8)1.3280.249
Gender, men (%)15 (93.8)117 (86.0)0.696*
HbsAg, positive (%)16 (100)111 (81.6)0.075*
AFP level, ≥ 20 ng/mL (%)9 (56.3)82 (60.3)0.0970.755
Liver cirrhosis, yes (%)16 (100)120 (88.2)0.221*
Tumor number, single (%)10 (62.5)98 (72.1)0.560*
Maximum tumor size, ≥ 5 cm (%)9 (56.3)67 (49.3)0.2790.597
Tumor thrombi, yes (%)9 (56.3)48 (35.3)2.6820.101
TNM Stage (I+II/III+IV)14/290/463.0130.083
Tumor differentiation (I+II/III+IV)11/593/430.0010.976

* P-value was calculated by Fisher's exact test.

Abbreviation: AFP, alpha fetoprotein.

Identification of candidate SNPs within WWOX

Using the Affymetrix SNP array 6.0, 16 patients were successfully genotyped. Then we observed the distribution of genotypic and allelic frequencies of detected SNPs and selected the SNPs which allele frequency difference are more than 50% between recurrence and non- recurrence group, then selected the SNPs which show P-value less than 0.01 in the Cochran- Armitage trend test (weighted by the additive version, t= (0, 1, 2)). Finally there were 32 SNPs fitting the screen strategy and, therefore, selected as candidate SNPs (data were not shown)

Association analysis of candidate SNPs with HCC recurrence

Thereafter, we conducted genotyping experiments for these candidate SNPs in the remaining 136 HCC patients. In the early stage of our experiment, 58 cases have been diagnosed as tumor recurrence within 2-years after operation and 78 cases without tumor recurrence according to the early follow-up data after operation. The distribution of genotypic and allelic frequencies of candidate 32 SNPs were observed and the differences were also calculated. For rs9926344, 136 patients were genotyped successfully by the TOF-MS method and the GG genotype was detected in 108patients, AG in 24 patients and AA in 4 patients (Fig. 1). As is shown in Table 2, the recurrence group had a higher prevalence of AA+AG (31.1%) than the control subjects (10.6%, P = 0.002). For allele comparison, the recurrence group had also a higher A allele frequency (19.0%) than the recurrence group (6.4%, P = 0.001).
Figure 1

Results of MassARRAY detection for rs9926344. Using the MassARRAY system, 3 genetypes were detected in rs9926344, which included AA genetype (A), AG genetype (B) and GG genetype (C).

Table 2

The genotypes and allele frequencies of WWOX (rs9926344) in patients with and without recurrence

SNPsgenetypenon-recurrence group (n=78)recurrence group (n=58)OR (95% CI)P-value
rs9926344GG69 (81.2)39 (63.9)1(ref)
AG8 (9.4)16 (26.2)3.538 (1.389-9.014)0.006
AA1 (1.2)3 (4.9)5.308 (0.534-52.780)0.147*
AA+AG9 (10.6)19 (31.1)3.735 (1.542-9.050)0.002
G allele146 (93.6)94 (81.0)1(ref)
A allele10 (6.4)22 (19.0)3.417 (1.549-7.538)0.001

* P-value was calculated by Fisher's exact test.

For the other candidate SNPs, the genotype and allele frequencies were not associated with the HCC recurrence after the adjustment with the aforementioned confounding factors.

Association of different rs9926344 genotypes with clinicopathological variables

Then, we analyzed the association between rs9926344 genotypes and the clinicopathological features in 136 HCC patients. Compared to the rs9926344 GG genotype, the rs9926344 AA+AG genotypes appeared in high frequency in advanced TNM-stage (P = 0.042). No significant differences were found between the two groups for other preoperative and postoperative characteristics (Table 3).
Table 3

Association of clinicopathological characteristics of patients carrying different genotypes of rs9926344

VariablesGradingAll patientsrs9926344
(n=136)GG(n=108, %)AA/AG(n=28, %)P-value
Age, years<505646 (82.1)10 (17.9)
≥508062 (77.5)18 (22.5)0.51
Genderfemale1917 (89.5)2 (10.5)
male11791 (77.8)26 (22.2)0.362*
AFP level, ng/mL<205444 (81.5)10 (18.5)
≥208264 (78.0)18 (22.0)0.628
HbsAgnegative2520 (80.0)5 (20.0)
positive11188 (79.3)23 (20.7)0.936
Liver cirrhosisno1614 (87.5)2 (12.5)
yes12094 (78.3)26 (21.7)0.524*
Tumor numbersingle9878 (79.6)20 (20.4)
multiple3830 (78.9)8 (21.1)0.934
Tumor size, cm<56954 (78.3)15 (21.7)
≥56754 (80.6)13 (19.4)0.736
Tumor thrombino8873 (83.0)15 (27.0)
yes4835 (72.9)13 (27.1)0.167
TNM stageI+II9076 (84.4)14 (15.6)
III+IV4632 (69.6)14 (30.4)0.042
Tumor differentiationI+II9374 (79.6)19 (20.4)
III+IV4334 (79.1)9 (20.1)0.947

* P-value was calculated by Fisher's exact test.

WWOX rs9926344 polymorphisms was associated with the poor prognosis of HCC patients

The follow-up data were obtained through medical chart review or direct calling and the latest follow-up in this study was carried out in April 2015. However, 17 patient lost follow-up before the deadline. Therefore, we got the remaining 119 HCC patients' follow-up data for prognosis evaluation. Out of 119 patients, 76 cases were diagnosed as tumor recurrence and 64 cases died of the tumor. Thereafter, we evaluated the association between the WWOX SNP and the prognosis of HCC patients after surgical resection. A significant relationship was found between rs9926344 and RFS or OS in Kaplan-Meier analysis (Fig. 2). The patients who carried the AA+AG genotype had poorer prognosis than those with GG genotype. The Kaplan-Meier curve showed that the median OS time in patients carrying AA+AG genotype was 35.6 months, which was apparently lower than that patients carrying GG genotype (the median OS time was 50.4 months), and the difference is statistically significant (P = 0.005); the median RFS time in patients carrying AA+AG genotype was 24.2 months, which was also lower than that patients carrying GG genotype (the median RFS time was 40.9 months), and the difference is also statistically significant (P = 0.004).
Figure 2

The Kaplan-Meier survival curves for overall survival (A) and recurrence-free survival (B) of the HCC patients stratified by WWOX rs9926344 genotypes.

To further evaluate the prognostic value of the polymorphisms of rs9926344 in HCC patients, univariate and multivariate Cox regression analysis were performed. Using the univariate analysis, we found that patients with the AA+AG genotype had a significantly decreased RFS [unadjusted hazard ratio (HR) 2.021, 95% confidence interval (CI) 1.233-3.312, P = 0.005] and OS (unadjusted HR 2.089, 95% CI 1.237-3.526, P = 0.006) compared with those with the GG genotype (Table 4). Besides, we also found that the AFP level, tumor number and size, tumor thrombi, TNM stage and poor tumor differentiation may have significant influence on the prognosis of patients with HCC. Adjusted by these predictive indicators above, multivariate Cox proportional hazards regression model was next performed to evaluate the independent predictive value of rs9926344 polymorphisms on RFS and OS (Table 5). The results showed that, compared to patients carrying the GG genotype, patients with the AA+AG genotype had a higher risk of relapse and death (adjusted HR 1.787, 95% CI 1.042-3.064, P = 0.035 and adjusted HR 1.621, 95% CI 0.917- 2.816, P = 0.097 for RFS and OS, respectively), especially in predicting the tumor recurrence. Taken together, these results imply that rs9926344 AA+AG genotypes could be used as an independent prognostic marker for HCC after operation.
Table 4

Univariate analyses of factors associated with OS and RFS of HCC (n=119)

VariablesPatientsOSRFS
n =119 (%)Death n (%)HR (95%CI)P-valueRecurrence n (%)HR (95%CI)P-value
Gender
female16(13.4)6(9.4)Ref.7(9.2)Ref.
male103(86.6)58(90.6)1.674(0.722-3.884)0.23069(90.8)1.914(0.879-4.168)0.102
Age, years
<5046(38.7)25(39.1)Ref.30(39.5)Ref.
≥5073(61.3)39(60.9)0.932(0.564-1.540)0.78446(60.5)0.869(0.549-1.377)0.550
AFP, ng/mL
<2049(41.2)20(31.3)Ref.26(34.2)Ref.
≥2070(58.8)44(68.7)1.923(1.132-3.267)0.01650(65.8)1.867(1.160-3.004)0.010
HbsAg
negative21(17.6)15(23.4)Ref.16(21.1%)Ref.
positive98(82.4)49(76.6)0.606(0.340-1.081)0.09060(78.9)0.725(0.417-1.258)0.253
Liver cirrhosis
no15(12.6)5(7.8)Ref.9(11.8)Ref.
yes104(87.4)59(92.2)2.024(0.812-5.046)0.13067(88.2)1.209(0.603-2.424)0.593
Tumor number
single83(69.7)38(59.4)Ref.46(60.5)Ref.
multiple36(30.3)26(40.6)1.902(1.154-3.137)0.01230(39.5)2.128(1.339-3.382)0.001
Tumor size
<5cm58(48.7)25(39.1)Ref.32(42.1)Ref.
≥5cm61(51.3)39(60.9)2.061(1.245-3.411)0.00544(57.9)1.933(1.224-3.051)0.005
Tumor thrombi
no78(65.5)33(51.6)Ref.42(55.3)Ref.
yes41(34.5)31(48.4)2.647(1.615-4.339)<0.00134(44.7)2.490(1.577-3.932)<0.001
TNM stage
I+II77(64.7)31(48.4)Ref.41(53.9)Ref.
II+IV42(35.3)33(51.6)3.260(1.986-5.352)<0.00135(46.1)2.907(1.841-4.589)<0.001
Tumor differentiation
I+II83(69.7)40(62.5)Ref.48(63.2)Ref.
II+IV36(30.3)24(37.5)1.848(1.112-3.070)0.01828(36.8)2.866(1.168-2.981)0.009
rs9926344
GG91 (70.5)43 (63.2)Ref.53 (66.3)Ref.
AA+AG28(21.7)21 (30.9)2.089(1.237-3.526)0.00623 (28.7)2.021 (1.233-3.312)0.005

Abbreviation: AFP, alpha fetoprotein; HR, hazard ratio; CI, confidence interval; Ref. Referent.

Table 5

Multivariate analyses of factors associated with OS and RFS of HCC (n=119)

variablesOSRFS
HR95% CIP-valueHR95%CIP-value
AFP level (<20ng/mL vs. ≥20ng/mL)1.6150.925-2.8200.0921.7421.051-2.8880.031
Tumor number (single vs. multiple)1.5550.860-2.8130.1442.1771.246-3.8020.006
Tumor size (<5cm vs. ≥5cm)2.0041.114-3.6050.021.9981.174-3.3990.011
Tumor thrombi (no vs. yes)1.8021.002-3.2440.0491.8431.075-3.1600.026
TNM stage (I+II vs. III+IV)1.4340.712-2.8880.3131.1880.630-2.2390.595
Tumor differentiation (I+II vs. III+IV)1.3410.781-2.3050.2871.3210.807-2.1620.268
rs9926344 (GG vs. AA+AG)1.6210.917-2.8660.0971.7871.042-3.0640.035

Abbreviation: AFP, alpha fetoprotein; HR, hazard ratio; CI, confidence interval.

WWOX expression in HCC patients' samples

Haematoxylin and eosin (H&E) staining results showed that the malignant cells were relatively homogeneous in the tumor tissue. Then, we performed immunohistochemistry (IHC) analysis of WWOX expression in 100 HCC patients, which were selected randomly among those patients above. First, we compared the difference of WWOX expression between the adjacent normal liver tissues (the peritumor tissue) and the tumor tissues. As shown in Fig. 3, the staining pattern of WWOX was mainly cytoplasmic in both the tumor and the corresponding peritumor tissues and IHC staining revealed that the WWOX expression was significantly lower in tumor tissues compared to the peritumor tissues. Thereafter, we compared the difference of WWOX expression between the AA group or AG group and the GG group and the results showed that the WWOX down-regulation is more frequent in patients carrying rs9926344 AG genotype than those carrying GG genotype, which is 75.0% (12/16) to 43.9% (36/82), with the difference being statistically significance (P = 0.023). And this result suggested the poor prognostic value of A allele. No significance was found between the AG and AA genotypes (75.0% vs. 0%, P = 0.098) or the AA and GG genotypes (0% vs. 43.9%, P = 0.504).
Figure 3

Representative pictures of immunohistochemical analyses for WWOX in the liver tissue specimens and corresponding HE staining results. Scale bar, 50 μm; original magnifications, ×400.

Discussion

Increasing evidences have indicated that single nucleotide polymorphisms (SNPs) within oncogenes or tumor suppressors are widely viewed as the key factors in the carcinogenesis and progression of human tumors 17-20. Our previous studies focused on the gene polymorphisms on chromosome 8p and their relationship to HCC metastasis and we found genetic variations such as single nucleotide polymorphisms on chromosome 8p may contribute to the modification of the promoter transcriptional activity and gene expression, which may influence HCC metastatic potential and clinical prognosis 21-24. In the present study, using Genome-Wide Human SNP Array 6.0 and time-of-flight mass spectrometry, we detected the genomic SNPs within WWOX from HCC patients and identified the significant SNPs genotype. We analyzed the difference between different groups and investigated their values in predicting tumor recurrence and prognosis in HCC patients. We found that the AA or AG genotypes of rs9926344 within tumor suppressor gene WWOX indicate higher risk of HCC recurrence and, therefore, can be used as an independent predictor of HCC recurrence. Immunohistochemical expression analysis showed that the expression of WWOX is significantly down regulated in HCC tissue, when comparing to the pericancerous tissues. Next, in order to further investigate the possible correlation between the rs9926344 polymorphism and WWOX protein expression, the protein expression levels in tumorous samples between different genotypes were also analyzed. And the result indicated that the WWOX protein down-regulation is more frequent in patients with AG genotype compared to the GG genotype, suggesting the poor prognostic significance of A allele. However, the WWOX expression level in patients with AA genotype is not significantly different when compared to those in AG or GG group. This phenomenon may contribute to small number of patients with the AA genotype (only 2 samples) and large standard error. If the sample enlarged, some differences among these groups might be found. Therefore, further investigation is required to rigorously verify this conjecture. WWOX gene's official name is WW domain containing oxidoreductase, also known as WOX1 or FOR. This gene spans the common fragile site FRA16D, located in 16q23.3-24.1 locus. The 1.3Mb open reading frame (ORF) of WWOX, containing 9 exons, encodes two WW binding domains at its N terminal region, a nuclear localization sequence (NLS) and a short-chain alcohol dehydrogenases/reductases (SDR) domain at C terminal 25. Evidence shows that WWOX possess apoptosis properties by interacting with proteins in different signaling pathways. When cells affected by stress signals or tumor necrosis factor (TNF), WWOX regulates the apoptosis by down regulating apoptosis inhibitors Bcl-2 and Bcl-xL, binding and stabilizing the activating form of p53 protein, translocating into the nucleus and mitochondria to induce apoptosis synergistically 26-29. Another study points out that WWOX enhances TNF cytotoxicity in L929 fibroblasts and is regarded as a downstream effector in TNF signaling pathway 27. A zinc finger-like protein Zfra acts in a dual role in regulating cytotoxic effects of TNF, and physically interacts with the N-terminal first WW domain and C-terminal SDR domain of WWOX 30. Research shows that staurosporine- induced apoptosis results in WWOX and Zfra cotranslocting to mitochondria, and Zfra suppressing the expression of Bcl-2 and invoking apoptosis via mitochondrial pathway 31. However, another research indicates that TNF can increase the binding of Zfra and WWOX, and the over expressed Zfra sequester WWOX in the cytoplasm. The binding abolishes both apoptotic function of WWOX and Zfra 30, indicating that Zfra is a negative regulator of WWOX. Moreover, it is considered that the LOH and homozygous deletions in the WWOX gene are widely detected and have an intimate connection with human disease, including cancer32-34. However, the next generation sequencing made more point mutations of WWOX been noticed. The c.358 C>T (Arg120Trp) missense polymorphism is found in colorectal tumors 16, non- small-cell lung cancers (NSCLC) 35, and esophageal cancers36. For instance, the c.358 C>T (Arg120Trp) and the c.760 C>T (Arg254Cys) are in exon 4 and 7, and they are considered to be related to lung carcinogenesis35. While the c.844 C>G (Pro282Ala) is a risk factor for differentiated thyroid carcinoma37 and is associated with gastric cardia adenocarcinoma (GCA) susceptibility in Northern Chinese38. To our knowledge, only few studies has been investigating on the relationship between different polymorphisms of WWOX gene and tumor occurrence and progression in patients with HCC. After genotyping 5 single-nucleotide polymorphisms (SNPs) of the WWOX gene in 354 HCC patients and 708 normal controls using an ABI StepOne TM Real-Time PCR System, Lee HL and colleagues17 found that a polymorphism within WWOX (rs12918952) can be used as a significant and reliable biomarker for predicting both early HCC occurrence and disease progression. In brief, WWOX is involved in so many pathways that affect apoptosis and metastasis, manifesting that there are potential effects of WWOX in regulating tumor activities to be uncovered. Based on those valuable results, we further proposed a significant difference between HCC patients with and without tumor recurrence in genetic variations of WWOX gene. To test this hypothesis and identify potential SNPs, genotype data from 8 HCC patients with tumor recurrence and 8 patients without recurrence were obtained using Affymetrix SNP 6.0 Array. The difference between recurrence group and non-recurrence group was calculated and the candidate SNPs were screened and further verified by TOF-MS. Intriguingly, our present results were consistent with previous studies reconfirming that there is correlation between the recurrence and WWOX polymorphisms, that provides insights for further efforts that investigate WWOX tumor suppression gene. To summarize, we found that a polymorphism in WWOX gene (rs9926344) has an obvious impact on tumor recurrence in HCC patients after curative operation. This interesting finding has a potential clinical significance in assessing tumor progression and predicting postoperative tumor recurrence in patients with hepatocellular carcinoma.
  37 in total

1.  Ectopic WWOX Expression Inhibits Growth of 5637 Bladder Cancer Cell In Vitro and In Vivo.

Authors:  Gang Li; Longfeng Sun; Zhongyi Mu; Yan Huang; Cheng Fu; Bin Hu
Journal:  Cell Biochem Biophys       Date:  2015-11       Impact factor: 2.194

2.  Combinations of single nucleotide polymorphisms WWOX-rs13338697, GALNT14-rs9679162 and rs6025211 effectively stratify outcomes of chemotherapy in advanced hepatocellular carcinoma.

Authors:  Wey-Ran Lin; Chao-Wei Hsu; Christopher Sung-Huan Yeh; Yi-Cheng Chen; Ming-Ling Chang; Kung-Hao Liang; Chen-Chun Lin; Yu-De Chu; Chau-Ting Yeh
Journal:  Asia Pac J Clin Oncol       Date:  2017-07-11       Impact factor: 2.601

3.  WOX1 is essential for tumor necrosis factor-, UV light-, staurosporine-, and p53-mediated cell death, and its tyrosine 33-phosphorylated form binds and stabilizes serine 46-phosphorylated p53.

Authors:  Nan-Shan Chang; Joan Doherty; Amy Ensign; Lori Schultz; Li-Jin Hsu; Qunying Hong
Journal:  J Biol Chem       Date:  2005-10-11       Impact factor: 5.157

4.  WWOX: a candidate tumor suppressor gene involved in multiple tumor types.

Authors:  A J Paige; K J Taylor; C Taylor; S G Hillier; S Farrington; D Scott; D J Porteous; J F Smyth; H Gabra; J E Watson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-25       Impact factor: 11.205

5.  WWOX, a novel WW domain-containing protein mapping to human chromosome 16q23.3-24.1, a region frequently affected in breast cancer.

Authors:  A K Bednarek; K J Laflin; R L Daniel; Q Liao; K A Hawkins; C M Aldaz
Journal:  Cancer Res       Date:  2000-04-15       Impact factor: 12.701

Review 6.  Regulation of cell signaling and apoptosis by tumor suppressor WWOX.

Authors:  Jui-Yen Lo; Ying-Tsen Chou; Feng-Jie Lai; Li-Jin Hsu
Journal:  Exp Biol Med (Maywood)       Date:  2015-01-16

Review 7.  The common fragile site FRA16D gene product WWOX: roles in tumor suppression and genomic stability.

Authors:  Rami I Aqeilan; Muhannad Abu-Remaileh; Mohammad Abu-Odeh
Journal:  Cell Mol Life Sci       Date:  2014-09-23       Impact factor: 9.261

8.  Genetic and epigenetic alterations of WWOX in the development of gastric cardia adenocarcinoma.

Authors:  Wei Guo; Zhiming Dong; Yuran Dong; Yanli Guo; Gang Kuang; Zhibin Yang
Journal:  Environ Mol Mutagen       Date:  2012-11-30       Impact factor: 3.216

9.  Expression of CD133, E-cadherin and WWOX in colorectal cancer and related analysis.

Authors:  Wenwen Sun; Jinxia Dou; Lin Zhang; Likui Qiao; Na Shen; Wenyuan Gao
Journal:  Pak J Med Sci       Date:  2017 Mar-Apr       Impact factor: 1.088

10.  Functional genetic variant of WW domain-containing oxidoreductase (WWOX) gene is associated with hepatocellular carcinoma risk.

Authors:  Hsiang-Lin Lee; Hsin-Lin Cheng; Yu-Fan Liu; Ming-Chih Chou; Shun-Fa Yang; Ying-Erh Chou
Journal:  PLoS One       Date:  2017-04-20       Impact factor: 3.240

View more
  4 in total

Review 1.  Precision Medicine for Hepatocellular Carcinoma: Clinical Perspective.

Authors:  Danijel Galun; Dragana Mijac; Aleksandar Filipovic; Aleksandar Bogdanovic; Marko Zivanovic; Dragan Masulovic
Journal:  J Pers Med       Date:  2022-01-24

2.  Upregulation of Nei-Like DNA Glycosylase 3 Predicts Poor Prognosis in Hepatocellular Carcinoma.

Authors:  Dongyu Wu; Guangcong Zhang; Jiamei Ma; Hongfen Wu; Ju Xiong; Xiaoxi Huang; Yuanyuan Tian; Taozhi Deng; Xiangyang Han; Xiaoning Sun; Tian Xiang; Xiangnan Yu; Xuemei Jiang
Journal:  J Oncol       Date:  2021-10-08       Impact factor: 4.375

3.  Child-Pugh Score and ABCG2-rs2231142 Genotype Independently Predict Survival in Advanced Hepatoma Patients Treated with Sorafenib.

Authors:  Po-Han Huang; Jen Yu; Yin-Yi Chu; Yang-Hsiang Lin; Chau-Ting Yeh
Journal:  J Clin Med       Date:  2022-05-02       Impact factor: 4.241

4.  Low expression of WW domain-containing oxidoreductase associates with hepatocellular carcinoma aggressiveness and recurrence after curative resection.

Authors:  Chenhao Zhou; Wanyong Chen; Jialei Sun; Manar Atyah; Yirui Yin; Wentao Zhang; Lei Guo; Qinghai Ye; Qiongzhu Dong; Yi Shi; Ning Ren
Journal:  Cancer Med       Date:  2018-06-14       Impact factor: 4.452

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.