J Cancer 2018; 9(22):4166-4171. doi:10.7150/jca.27110

Research Paper

CASP8 rs3834129 (-652 6N insertion/deletion) Polymorphism and Colorectal Cancer Susceptibility: An Updated Meta-Analysis

Yin Ying1, Jin Xu2, YaJun Qi3, Meiling Zhang1, Yue Yang4 Corresponding address

1. Department of Pharmacy, Tongde Hospital of Zhejiang Province, Hangzhou 310012, Zhejiang, China.
2. Department of ENT, Tongde Hospital of Zhejiang Province, Hangzhou 310012, Zhejiang, China.
3. Department of Pharmacy, Zhejiang Cancer Hospital, Hangzhou 310022, Zhejiang, China.
4. Department of Pathology, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China.

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How to cite this article:
Ying Y, Xu J, Qi Y, Zhang M, Yang Y. CASP8 rs3834129 (-652 6N insertion/deletion) Polymorphism and Colorectal Cancer Susceptibility: An Updated Meta-Analysis. J Cancer 2018; 9(22):4166-4171. doi:10.7150/jca.27110. Available from http://www.jcancer.org/v09p4166.htm

Abstract

CASP8 rs3834129 polymorphism (-652 6N insertion/deletion) is a genetic alteration which might affect the apoptosis pathway caspase enzyme. The impaired caspase enzyme would lead to the change of cancer risk. By now, the role of CASP8 rs3834129 polymorphism has been widely investigated. However, the relationship of this genetic variant on colorectal cancer (CRC) susceptibility still remains inconsistent. Therefore, we further investigated the role of rs3834129 polymorphism on CRC risk. Eligible published studies were retrieved from EMBASE, PubMed, CNKI and WANFANG database updates to March 2018. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the relationship strengths. In general, we successfully retrieved 13 studies (8 publications) involving 13058 cases and 14418 controls. The meta-analysis results demonstrated that rs3834129 polymorphism was associated with a decreased CRC risk in heterozygous model (ID vs. II: OR = 0.94, 95% CI = 0.88-0.99), but not the homozygous and allele models. Furthermore, significantly decreased risk was also found among Asian (ID vs. II: OR = 0.86, 95% CI = 0.76-0.98), and high quality score group (ID vs. II: OR = 0.90, 95% CI = 0.81-1.00) in the stratified analyses. Taken together, we showed that CASP8 rs3834129 polymorphism influences CRC susceptibility in a weak impact manner. More case-control studies are warranted to validate such relationship.

Keywords: colorectal cancer, CASP8, polymorphism, susceptibility, meta-analysis

Introduction

Colorectal cancer (CRC) is the third most commonly diagnosed cancer and the fourth most cause of cancer death in the world [1]. In China, CRC ranks the top five cancers both in new diagnoses and in the cancer-related cause death [2]. The definitive etiology of CRC remains unknown. Evidence suggests that CRC derives from combinations of genetic and environmental factors [3]. Previous epidemiological studies have elucidated that inherited susceptibility is a major component of CRC predisposition.

Apoptosis, also called as programmed cell death, is a pivotal mechanism to maintain the normal cellular growth [4]. Aberrant functions of apoptosis pathway are associated with the development of CRC [5, 6]. Caspases are the main regulative and executive enzymes in apoptosis pathway [7]. Among them, caspase 8 was one of the most important components of the caspases family proteins [5, 8]. Caspase 8 plays a critical role in mediating the extrinsic apoptosis pathway [9]. The human gene CASP8 is located on chromosome 2q33‑q34 with 11 exons. Several SNPs of CASP8 gene have been identified to be associated with cancer risk [10-13]. Among them, CASP8 rs3834129 polymorphism (-652 6N ins/del), a six six-nucleotide insertion/deletion variant, leads to the decreased expression of CASP8 mRNA [14].

CASP8 SNPs are reported to predispose to the susceptibility of several cancers, including neuroblastoma [12], bladder cancer [15], breast cancer [13]. Among them, CASP8 rs3834129, namely -652 6N ins/del polymorphism, is one of the most investigated SNP. Extensively epidemiological studies have assessed the association between CASP8 rs3834129 (-652 6N ins/del) polymorphism and CRC risk, yet with discrepant results. Therefore, we conducted this meta-analysis to provide a precise evaluation of the association of interest.

Materials and Methods

Publication search

We first searched the following key words: 'Caspase 8' or 'CASP8' or 'rs3834129' and 'SNP' or 'polymorphism' or 'polymorphisms' or 'single nucleotide polymorphism' or 'variant' and 'colorectal cancer' or 'colorectal tumor' or 'colorectal carcinoma' or 'colorectal neoplasm' or 'CRC' in database of PubMed and EMBASE. We also searched the Chinese database CNKI and WANFANG to include more eligible studies. Further, additional studies were also manually extracted from the references of the above obtained publications. The latest search was done in March 2018 without any language restriction. The article will be considered as different studies if it contains more than two ethnicities. Among overlapping reports, only the largest one will be retained.

Eligibility criteria

The final including studies in this meta-analysis should fulfill all the following requirements: 1) unrelated case-control studies; 2) original epidemiological studies; 3) analyzing the relationship between CASP8 rs3834129 polymorphism and CRC risk; 4) Sufficient genotype data were presented to obtain odds ratios (ORs) and 95% confidence intervals (CIs); 5) articles written in English or in Chinese.

Data extraction

We arranged two authors to identify all eligible studies independently. The following items were recorded from each study: first author's name, year of publication, Hardy-Weinberg equilibrium (HWE), quality score, country, ethnicity, source of controls, genotyping method, and genotype distributions of cases and controls. All the disagreed information was settle down after fully discussed by the two authors.

Statistical analysis

Fisher's exact test was applied to check whether the genotype frequency distribution of rs3834129 in controls was deviated from Hardy-Weinberg equilibrium. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated from multivariate logistic regression, and then used to estimate the associations between rs3834129 and CRC risk. Subgroup analyses were performed by ethnicity, source of control, and quality score. Between-study heterogeneity was determined by a chi-square-based Q-Test. The random-effects model (the DerSimonian and Laird method) would be performed in the presence of heterogeneity, whereas the fixed-effects model (the Mantel-Haenszel method) would be performed. Publication bias was assessed by visual inspection of funnel plots and the Egger's linear regression test. The asymmetric plot and P value less than 0.5 was considered as the existence of publication bias. In addition, sensitivity analysis was also applied to assess the robustness of the results. Quality assessment for each study was performed using the quality assessment criteria (Table 1). The meta-analysis was conducted using STATA version 11.0 (Stata Corporation, College Station, TX, USA). All p values were two-sided.

 Table 1 

Score of quality assessment

CriteriaScore
Representativeness of cases
Selected from population cancer registry2
Selected from hospital1
No method of selection described0
Representativeness of controls
Population-based3
Blood donors2
Hospital-based1
Not described0
Ascertainment of cancer cases
Histopathologic confirmation2
Patient medical record1
Not described0
Control selection
Controls matched with cases by age and sex2
Controls matched with cases only by age or by sex1
Not matched or not descried0
Genotyping examination
Genotyping done blindly and quality control2
Only genotyping done blindly or quality control1
Unblinded and without quality control0
Total sample size for both cases and controls
Larger than 10003
Larger than 500, but less than 10002
Larger than 200, but less than 5001
Less than 2000

Results

Study characteristics

Using the above mentioned database, we firstly identified 59 potentially relevant published records. After literature screening and abstracts reading, we kept 7 publications in the analysis [16-22]. We also extracted 1 article from the references of the retrieval articles [23]. The general work flow of the selection process was graphically shown in Figure 1. In all, 13 studies (8 publications) with 13058 cases and 14418 controls were used in the pooled analysis (Table 2). Among them, 4 studies focused on Asians and 9 on Caucasians. 4 studies were hospital-based design, 9 were population-based design. 6 studies with a quality score >9, and 7 studies with a quality score ≤9.

Meta-analysis results

Overall meta-analysis information was shown in Table 3 and Figure 2. In the pooled analysis, statistically significant protection role of CASP8 rs3834129 polymorphism in CRC was observed among heterozygous models (ID vs. II: OR=0.94, 95% CI=0.88-0.99). Statistically significant relationship was not observed in homozygous and allele model. When stratified by population, significant association between CASP8 rs3834129 polymorphism and CRC risk was detected among African (ID vs. II: OR=0.86, 95% CI=0.76-0.98). Such association was not observed for the Caucasians. In terms of source of controls, we failed to detect any significant relationship in hospital-based group and in population-based group. Further subgroup analysis by quality score yielded a significant association for allele model (D vs. I: OR=0.90, 95% CI=0.81-1.00).

 Figure 1 

The work flow of the current process of handling selection.

J Cancer Image (Click on the image to enlarge.)
 Table 2 

Characteristics of studies included in the current meta-analysis

SurnameYearCountryEthnicityControl SourceGenotype methodCaseControlMAFHWE
IIIDDDAllIIIDDDAll
Sun2007ChinaAsianPBPCR-RFLP60528033918528304588900.240.116
Pittman2008EnglandCaucasianPBAS-PCR99518979873879892187289736610.500.170
Liu2010ChinaAsianPBPCR-RFLP23311621370528278328380.200.538
Theodoropoulos2011GreeceCaucasianHBRFLP-PCR103201984021202541064800.490.194
Xiao2013ChinaAsianHBPCR-PAGE18710711305212115153420.210.905
Wu2013ChinaAsianHBPCR-SSCP28415215451358244296310.240.119
Pardini2014SpainCaucasianPBTaqman500996482197842580242016470.500.290
Pardini2014ItalyCaucasianPBTaqman195285137617783123053825510.450.178
Pardini2014USACaucasianPBTaqman237514259101038379440315800.510.835
Pardini2014EnglandCaucasianPBTaqman41082534115761653932097670.530.436
Pardini2014CzechCaucasianPBTaqman2394792499671693261776720.510.443
Pardini2014NetherlandsCaucasianPBTaqman169282134585106177763590.460.895
Diego Marques2017BrazilCaucasianHBPCR4964271404265331400.470.424

MAF, minor allele frequency; HWE, Hardy-Weinberg equilibrium; PB, population based; HB, hospital based; PCR-PAGE, polymerase chain reaction-polyacrylamide gel electrophoresis; PCR-RFLP, polymerase chain reaction-restriction fragment length polymorphism; AS-PCR, allele-specific polymerase chain reaction.

 Table 3 

Meta-analysis of the association between CASP8 rs3834129 (-652 6N Ins/Del) polymorphism and CRC risk

VariablesNo. ofHomozygousHeterozygousAllele
studiesDD vs. IIID vs. IID vs. I
OR (95% CI)P hetOR (95% CI)P hetOR (95% CI)P het
All130.92 (0.82-1.04)0.0220.94 (0.88-0.99)0.6020.95 (0.90-1.01)0.015
Ethnicity
Asian40.78 (0.47-1.32)0.0280.86 (0.76-0.98)0.7340.88 (0.74-1.04)0.046
Caucasian90.96 (0.87-1.06)0.1660.96 (0.90-1.02)0.4080.98 (0.93-1.03)0.191
Source of controls
PB90.93 (0.81-1.07)0.0070.94 (0.89-1.00)0.5660.96 (0.90-1.02)0.009
HB40.88 (0.67-1.16)0.4930.89 (0.75-1.04)0.4690.02 (0.81-1.05)0.279
Quality score
>960.82 (0.64-1.06)0.0040.91 (0.82-1.02)0.1740.90 (0.81-1.00)0.006
≤971.00 (0.91-1.10)0.9250.95 (0.87-1.02)0.8911.00 (0.96-1.05)0.942

Het, heterogeneity; HB, hospital based; PB, population based.

Heterogeneity and sensitivity analysis

We first used I2 statistics and Q test to calculate between-study heterogeneity. Significant heterogeneity was detected among all three genetic models (P<0.001) in the pooled analysis. Therefore, we adopted the random-effect model to generate wider CIs. We also conducted sequential leave-one-out sensitivity analysis to assess the stability of the results. The results showed that no substantial changes in pooled results, after removing each study (Figure 3).

 Figure 2 

Forest plot for the CRC susceptibility associated with the CASP8 rs3834129 polymorphism under allele comparison model. The horizontal lines represent the study-specific ORs and 95% CIs, respectively. The diamond represents the pooled results of OR and 95% CI.

J Cancer Image (Click on the image to enlarge.)

Publication bias

The Begg's funnel plots of the included studies showed no evidence of obvious asymmetry (Figure 4). Moreover, none-existence of publication bias among the studies was also approved by statistical evidence of Egger's test (data not shown).

Discussion

In this present meta-analysis, we comprehendsively assessed the relationship between CASP8 rs3834129 polymorphism with CRC susceptibility. The obtained results suggested CASP8 rs3834129 polymorphism may influence CRC risk in a low impact effect manner. To date, this meta-analysis represents the most powerful investigation in elucidating the role of CASP8 rs3834129 polymorphism in CRC risk.

The role of CASP8 rs3834129 polymorphism in CRC risk has attracted intensive attentions. The first case-control study with 4995 cases and 4972 controls was conducted by Sun et al. in 2007 [16]. They identified that -652 6N deletion allele would decrease the susceptibility of lung, colorectal, esophageal, breast, cervical and gastric cancer. Further biochemical assays illustrated that this variant might lead to decreased apoptotic reactivity of T lymphocytes upon cancer cells stimulation. A multi-centric study conducted by Pardini et al. indicated that rs3834129 was not associated with CRC risk in the full data set [21]. This study recruited 6,733 CRC cases and 7,576 controls by six different centers located in Spain, Italy, USA, England, Czech Republic and the Netherlands collaborating to the international consortium COGENT (Colorectal cancer GENeTics). Such null associations were also presented in a study conducted by Xiao MS et al. in Chinese population using 305 CRC patients and 342 healthy individuals [20].

To further clarify the role of CASP8 rs3834129 polymorphism on the risk of CRC, we performed this meta-analysis. CASP8 rs3834129 polymorphism was not associated with CRC risk, in some genetic models. This phenomenon may be due to the relatively small sample or the weak impact of single polymorphism in singe gene. Stratified analysis by ethnicity showed that significant association was observed between CASP8 rs3834129 polymorphism and CRC risk among Asian, but not Caucasian. Allelic distributions of CASP8 rs3834129 polymorphisms could vary geographically and ethnically.

When interpreting this meta-analysis, several limitations should be noted. First, we only used unadjusted estimates to assess the strength of association between CASP8 rs3834129 polymorphism and CRC risk. We failed to conduct adjustment analysis as we could not obtain original data such as life habitat, environmental exposes, and gene-environment interactions, which restrains our further analysis for confounding factors. Second, language bias and selection bias could not be ruled out, as only published studies and papers written in English or Chinese were analyzed. Third, significant between-study heterogeneity was detected, which would impair the validity of conclusion. Fourth, in some subgroup analysis, the sample size was relatively small. Thus, the statistical power is to be impaired to estimate the real association. Last, nearly all the eligible case-control studies included were conducted in Asians and Caucasians. The studies of other ethnicities, such as Africans, were absence. Therefore, more studies from other ethnicities, especially Africans, are necessary to further confirm such conclusion, due to the geographical and genetic differences.

 Figure 3 

Sensitivity analysis of the summary OR coefficients on the association between CASP8 rs3834129 polymorphism and CRC risk under allele comparison model.

J Cancer Image (Click on the image to enlarge.)
 Figure 4 

Funnel plot analysis to detect publication bias for CASP8 rs3834129 polymorphism under allele comparison model. Each point represents a separate study for the indicated association.

J Cancer Image (Click on the image to enlarge.)

Conclusion

In conclusion, the current meta-analysis provides strong evidence that CASP8 rs3834129 polymorphism may not be strong enough to impact the risk of CRC, from the perspective of the formed case-control studies. Such relationship further helps to explain the etiology of CRC. Yet, further case-control studies with larger sample sizes, standardized unbiased design are warranted to confirm our findings.

Acknowledgements

Financial support was provided by Zhejiang Natural Science Foundation Project (LYY18H280005) and Public Service Technology Research Project of Zhejiang Province of China (2016C33127).

Competing Interests

The authors have declared that no competing interest exists.

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Author contact

Corresponding address Corresponding author: Yue Yang, Department of Pathology, Tongde Hospital of Zhejiang Province, 234 Gucui Road, Hangzhou 310012, Zhejiang, China. E-mail: tdyangyuecom; Phone: 86-571-89972240


Received 2018-5-6
Accepted 2018-8-15
Published 2018-10-18