J Cancer 2015; 6(6):525-530. doi:10.7150/jca.10749

Research Paper

Complement Receptor 1 Genetic Variants Contribute to the Susceptibility to Gastric Cancer in Chinese Population

Lina Zhao1, Zhi Zhang2, Jia Lin1, Lei Cao1, Bing He1, Sugui Han3, Xuemei Zhang1 Corresponding address

1. Institute of Molecular Genetics, College of Life Sciences, Hebei United University, Tangshan, China
2. Affiliated Tangshan Gongren Hospital, Hebei United University, Tangshan, China
3. Department of Clinical laboratory, Tangshan Renmin Hospital, Tangshan, China

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) License. See http://ivyspring.com/terms for full terms and conditions.
How to cite this article:
Zhao L, Zhang Z, Lin J, Cao L, He B, Han S, Zhang X. Complement Receptor 1 Genetic Variants Contribute to the Susceptibility to Gastric Cancer in Chinese Population. J Cancer 2015; 6(6):525-530. doi:10.7150/jca.10749. Available from http://www.jcancer.org/v06p0525.htm


As the receptor for C3b/C4b, type 1 complement receptor (CR1/CD35) plays an important role in the regulation of complement activity and is further involved in carcinogenesis. This study aimed to elucidate the association of CR1 genetic variants with the susceptibility to gastric cancer in Chinese population. Based on the NCBI database, totally 13 tag single nucleotide polymorphisms (SNPs) were selected by Haploview program and genotyped using iPlex Gold Genotyping Assay and Sequenom MassArray among 500 gastric cancer cases and 500 healthy controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated by logistic regression to evaluate the association of each SNP with gastric cancer. Of all selected Tag SNPs , CR1 rs9429942 T > C was found to confer to the risk of developing gastric cancer. Compared with the carriers with rs9429942 TT genotype, those with CT genotype had 88% decreased risk of developing gastric cancer with OR (95%CI) of 0.12 (0.03-0.50). Generalized multifactor dimensionality reduction (GMDR) analysis revealed a significant three-way interaction among rs75422544 C > A, rs10494885 C > T and rs7525160 G > C in the development of gastric cancer with a maximum testing balance accuracy of 56.07% and a cross-validation consistency of 7/10 (P = 0.011). In conclusion, our findings demonstrated the genetic role of CR1 gene in the development of gastric cancer in Chinese population.

Keywords: Complement receptor 1, gastric cancer, genetic variant, single nucleotide polymorphism.


Gastric cancer remains the fourth most common cancer and the second leading cause of cancer-related mortality worldwide, contributing to a significant burden of disease, particularly in developing countries [1]. Epidemiological studies have identified many risk factors for gastric cancer, such as Helicobacter pylori infection, high intake of salt-preserved foods, tobacco smoking and pernicious anemia [2]. However, only a fraction of individuals exposed to these factors develop gastric cancer during their lifetime, which suggests that genetic susceptibility plays an important role in gastric carcinogenesis.

The complement system is a collection of serum proteins that are integral to inflammatory processes and to innate immune responses to infection. Based on the epidemiological and experimental data, it has been established that chronic inflammation is involved in tumor onset, promotion and progression [3, 4]. Over recent years, studies have suggested an insidious relationship between gastric cancer and chronic inflammation, especially resulting from the infection with Helicobacter pylori [5, 6]. Chronic inflammation orchestrates a tumor-supporting microenvironment that is an indispensable participant in the neoplastic process [7]. Considering the connection of complement system, innate immunity and chronic inflammation, complement proteins may play an important role in carcinogenesis. Studies have suggested that complements facilitate innate immune against cancer through direct tumor lysis or complement-independent cytotoxicity (CDC) [8]. Studies have indicated that complement C5a in the tumor microenvironment promoted tumor growth by the myeloid-derived suppressor (MDS) cell-mediated immunosuppression [9, 10]. Taken as a whole, the complement system may have a dual effect on the process of carcinogenesis [11].

Complement receptor 1 (CR1/CD35) is a type I membrane-bound glycoprotein that belongs to the regulators of complement activity (RCA) family [12, 13]. Acting as the receptor for C3b and C4b, CR1 expressed on various cell types, including lymphocytes, erythrocytes, phagocytes, and dendritic cells [14]. As an inhibitor of complement activation, CR1 has been reported to be involved in the pathogenesis of several cancers [15, 16].

Previously, we investigated 13 tag SNPs in CR1 gene and found that rs7525160 polymorphism was significantly associated with the susceptibility to non-small cell lung cancer (NSCLC) [17]. In this study, we performed a case-control study in a Chinese population to test the hypothesis that the tag SNPs of CR1 contribute to the susceptibility to gastric cancer.

Materials and Methods

Study subjects

The present case-control study comprised 500 patients with gastric cancer and 500 healthy controls Patients were recruited between Jan 2008 and Dec 2013 from Hebei United University affiliated Tangshan Gongren Hospital and Tangshan Renmin Hospital in China, without receiving any radiotherapy or chemotherapy at the time of recruitment and no restrictions in regard to age, gender. The response rate for patients was 94%. All subjects were genetic unrelated Han Chinese. The eligible patients were primary histopathologically confirmed and previously untreated by radiotherapy and chemotherapy. Patients with previous malignancy or metastasized cancer from other organs were excluded. The controls were randomly selected from cancer-free population from the community conducted in the same region during the same period when patients were recruited. The selection criteria for the controls included no prior history of malignancy, and control subjects were frequency-matched to the patients by age (±5 years) and gender. At recruitment, written informed consent was obtained from each subject. This study was approved by the Institutional Review Board of Hebei United University.

Selection of Tag SNPs and SNP genotyping

Based on the Chinese population data from HapMap database, we used HaploView 4.2 program to select the candidate tag SNPs with an r2 threshold of 0.8 and minor allele frequency (MAF) greater than 1%. Under this criteria, totally 11 tag SNPs were selected. Additionally, we added two potential functional SNPs, rs9429942 and rs6691117 [18, 19]. Therefore, we included 13 SNPs in our study, which represents common genetic variants in Chinese population.

Genotyping was performed at Bomiao Tech (Beijing, China) using iPlex Gold Genotyping Assay and Sequenom MassArray (Sequenom, San Diego, CA, USA). Sequenom's MassArray Designer was used to design PCR and extension primers for each SNP. The PCR primers used are available upon request. Genotyping quality control consisted of no-temple control samples for allele peaks and verifying consistencies in genotype calls of 2% randomly selected duplicate samples. In addition, two control samples were included on each plate as genotyping controls for inter-plate reproducibility. Hardy-Weinberg Equilibrium (HWE) was also evaluated in unrelated controls.

Statistical analysis

Statistical analyses were performed using SPSS16.0 statistical software package (version16.0, SPSS, Chicago, IL). The chi-square goodness of fit test was used for any deviation from Hardy-Weinberg equilibrium in controls. The χ2 test was used to examine the differences in demographic distributions and genotype frequencies between cases and controls. We estimated the cancer risk associated with CR1 tag SNPs by odds ratios (ORs) and 95% confidence intervals (CIs) computed by logistic regression model adjusted for age, gender, and smoking status. All statistical tests were two-sided and differences were taken as significant when P-value was < 0.05. Gene-gene and gene-smoking interactions were analyzed by open resource generalized multifactor dimensionality reduction (GMDR) software package (version 0.9) and Quanto [20, 21]. For given sample size, the power to detect statistically significant associations was calculated using online power and sample size calculator for unmatched case-control study (http://www.stat.ubc.ca ).


Subject characteristics

The frequency distributions of selected characteristics of participants were shown in Table 1. No significant statistical differences in the sex (P = 0.407), age (P = 0.317) and smoking status (P = 0.652) distributions were observed between cases and controls, which suggesting that the frequency matching was adequate.

Association of individual Tag SNP and gastric cancer risk

Table 2 showed the position and minor allele frequency (MAF) of 13 tag SNPs of CR1 in HapMap database among Chinese population. Besides the rs9429782 polymorphism, the genotype distributions of other 12 SNPs in controls accorded with Hardy-Weinberg equilibrium (P > 0.05). Therefore, we excluded the rs9429782 from further analysis. As depicted in Table 3, these 12 tag SNPs were genotyped in all subjects including the 500 patients with gastric cancer and 500 healthy controls. The genotype frequency of rs9429942 T>C among the cases was significantly different from those among controls (χ2 = 10.415, P = 0.001). There was no statistical difference of genotype distributions between gastric cancer cases and healthy controls for other 11 tag SNPs (P > 0.05). Multivariate logistic regression analysis was used to assess the association of 12 tag SNPs of CR1 with the risk of gastric cancer (Table 3). For rs9429942 T>C polymorphism, the CT genotype was significantly associated with a decreased risk of gastric cancer (OR = 0.12; 95% CI = 0.03-0.50; P = 0.004) compared with the homozygote TT. Based on our sample size, our study had 93% power to detect the significant association of rs9429942 polymorphism with the risk of cancer risk with OR of 0.12. For rs7525160 G>C variant, when compared with GG genotype, CG genotype was associated with a decreased risk of gastric cancer (OR = 0.7; 95% CI = 0.53-0.93; P = 0.013); but CC genotype was not (OR = 1.13; 95% CI = 0.80-1.62; P = 0.485). For other 10 tag SNPs of CR1, our data did not show any association with the susceptibility to gastric cancer in our study population (P>0.05). When stratified by smoking status, our results did not show any interaction of Tag SNPs of CR1 with smoking status contribute to the risk of developing gastric cancer (data not shown).

Association of SNP-SNP interactions and gastric cancer risk

GMDR was used to evaluate gene-gene interaction of 12 SNPs from CR1 gene (Table 4). Although the SNP rs7525160 in CR1 had the highest testing balanced accuracy of 54.88% among 12 SNPs, the result was not significant (P = 0.055). Similarly, the rs4844600 G>A and rs10494885 C>T were shown to be the best two-way model with a testing balance accuracy of 52.92%, however, the interaction was not significant (P = 0.055). Three-way interaction model among rs75422544 C>A, rs10494885 C>T and rs7525160 G>C showed the maximum testing balance accuracy (56.07%) and cross validation consistency (7/10). The three-way interaction was significant (P = 0.011).

 Table 1 

Distributions of selected characteristics in cases and control subjects

VariablesCases (n=500)Controls (n=500)
Smoking status0.652

aTwo-sided χ2 test.

 Table 2 

Primary information of genotyped SNPs of CR1

Gene and locusRs numberContig positionLocationBase changeMAF in controlsP for HWE testCalling rate (%)
CR1 1q32rs752516011861935' near geneG/C0.420.910100
rs942994211864095' near geneT/C0.020.92899.3
rs942978211871345' near geneG/T0.24<0001100
rs1049488513329683'near geneC/T0.390.96099.5

MAF, minor allele frequency; HWE, Hardy-Weinberg equilibrium.

 Table 3 

Genotype frequencies of CR1 among cases and controls and their association with gastric cancer

Controls (n=500)Cases (n=500)OR (95% CI)aP value
GG16733.418937.81.00 (ref.)
GG12424.812925.81.00 (ref.)
AG23547.026052.01.06 (0.78-1.44)0.711
AA14128.211122.20.77 (0.54-1.09)0.135
TT37174.237775.41.00 (ref.)
CC18737.417234.41.00 (ref.)
CC13627.210921.81.00 (ref.)
AA34468.834769.41.00 (ref.)
GG46593.047595.01.00 (ref.)
CC19338.621442.81.00 (ref.)
TT48396.649899.61.00 (ref.)
GG18436.819939.81.00 (ref.)
CC19739.421042.01.00 (ref.)
TT31763.431863.61.00 (ref.)

aData were calculated by unconditional logistic regression and adjusted for gender, age and smoking status.

 Table 4 

Summary of GMDR SNP-SNP interaction results for CR1 gene

ModelsTraining Bal. Acc (%)Testing Bal. Acc. (%)P valueCross-validation Consistency
Rs4844600, rs1049488556.6752.920.0555/10
Rs7542544, rs10494885, rs752516059.2756.070.0117/10

GMDR, generalized multifactor dimensionality reduction; Training Bal. Acc, training balance accuracy; Testing Bal. Acc, testing balance accuracy.


Genetic background plays an important role in the development of gastric cancer, which is a multifactorial genetic disease resulting from gene-environment interaction [22]. Over recent years, genome-wide association studies (GWAS) have identified multiple genetic loci associated with gastric cancer risk [23-25]. In addition, much effort in case-control studies has been spent in searching for cancer susceptibility genes, such as genes coding for inflammatory mediators [7], DNA repair [26], apoptosis [27] and carcinogen metabolism [28]. In a Nature Immunology article, Rutkowski and his colleges reviewed that complement proteins might facilitate the process of carcinogenesis by increasing activity of mitogenic signaling pathways, inducing cellular proliferation, and promoting immunosupression [29]. Acting as a negative regulator of the complement cascade, CR1 was also involved in the development of various cancers. In the present study, we investigated the association of 13 tag SNPs of CR1 with the risk of gastric cancer in Chinese population and found that rs9429942 CT genotype was associated with a decreased risk of gastric cancer (OR = 0.12; 95% CI = 0.03-0.50; P = 0.004), compared with the TT genotype. Furthermore, GMDR analysis revealed that a three-loci significant interaction among rs75422544, rs10494885 and rs7525160 of CR1 gene with the highest test accuracy of 56.07% (P = 0.011). To the best of our knowledge, it is first report that CR1 genetic variations contribute to the risk of developing gastric cancer.

Gastric cancer is characterized by a prominent inflammatory component [30]. As a fundamental component of innate immunity, complement is an enzymatic cascade that results in the release of pro-inflammatory anaphylatoxins, including most notably the anaphylatoxins C3a and C5a [31, 32]. Complement system has long been thought to fight against cancer by exerting the effects of immunosurveillance in the immunologic microenvironment of tumors [10]. However, tumor cells are protected from complement-mediated injury by membrane-bound complement regulatory proteins (mCRPs) that are often up-regulated on tumor cells [33-35]. These mCRPs consists of CR1, complement factor H (CFH), decay accelerating factor (DAF, CD55), membrane cofactor protein (MCP, CD46), and homologous restriction factor 20 (HRF29, CD59), which can inhibit complement activation by blocking the complement cascade at the C3 activation stage or preventing formation of the membrane attack complex (MAC) [33, 36]. Therefore, it is desirable to combine anti-tumor monoclonal antibodies (mAb) immunotherapy or tumor vaccines with the blocking of mCRPs in cancer immunotherapy [37]. Considering the important role of mCRPs in carcinogenesis, it is reasonable that genetic variants in mCRPs might affect the susceptibility to certain cancers. For instance, recent evidence has showed that CFH Y402H polymorphism interacted with cigarette smoking to effect the development of lung cancer in the Chinese population [38]. Studies also showed that the CR1 3650A>G Rsa I polymorphism in exon 22 was associated with the risk of gallbladder cancer [16] and the rs7525160 G>C polymorphism contributed to the risk of non-small cell lung cancer [17].

In the present study, we provided the evidence that the CT genotype of CR1 rs9429942 was strongly associated with protective effect against gastric cancer in Chinese population. As depicted in the table 2, rs9429942 T>C variant located in 5' near CR1 gene. Teeranaipong et al evaluated the association of rs9429942 T>C variant with the erythrocyte CR1 expression level in 24 healthy Thai subjects and found that TT genotype contribute to higher erythrocyte CR1 level [18]. The lower expression may effect on the rate of clearance of immune complexes from circulation[39]. The concentration of immune complexes in advanced gastric cancer patients was significantly higher than that in normal subjects[40]. This may explain the role of rs9429942 in the development of gastric cancer. However, the function of rs9429942 T>C variant still need be verified in large study. Whatever, these studies at least illustrated that CR1 rs9429942 might be a good candidate genetic susceptibility locus for certain diseases. Meanwhile, we also paid attention to another interesting result that the CG genotype of CR1 rs7525160 was significantly associated with a decreased risk of gastric cancer compared with homozygote GG, while the CC genotype was not. Based on the current data, rs7525160 G>C can not be considered as a risk factor for gastric cancer. However, in our previous study, we reported that rs7525160 CC and CG genotype were related to an increased risk of developing NSCLC in Chinese population [17]. The discrepancy may result from the different tumor site, therefore more convincing studies still need be done in the future.

Based on our findings, we could speculate about the role of the CR1 gene for the pathogenesis of gastric cancer. As a receptor for C3b/C4b, CR1 functioned both as a regulator of complement activation and as a vehicle for immune complexes (ICs) clearance [41]. By reversibly binding to C3b and C4b and further inactivating C3 and C5 covertases, CR1 involved in the classical and alternate pathway [42]. In addition, CR1 serves as a necessary cofactor in the proteolytic cleavage of C3b and C4b by complement factor I (CFI) [43]. The genetic variations in CR1 gene has been reported to affect CR1 copy number on erythrocytes, which in turn correlates with the rate of ICs clearance from the circulation [39, 44].

Considering the ubiquity of genetic interactions in the pathogenesis of complex diseases, the identification and characterization of susceptible genes or polymorphisms require a thorough understanding of gene-gene interactions [45]. Over recent years, gene-gene interaction factors have been taken into account in studies of gastric cancer carcinogenesis [46, 47]. In our study, multiple interactions of genetic variants, including rs75422544, rs10494885 and rs7525160 were observed for gastric cancer. This desirable result would encourage us to explore genetic susceptibility conferred by co-stimulatory molecules in gastric cancer in the future.

In conclusion, our data provided the new evidence of the role of CR1 in the development of gastric cancer. However, some limitations should be addressed. Due to the relatively small sample size, further study still need to be conducted to confirm the findings of the present study. Furthermore, the biological functions of CR1 polymorphism also need to be investigated.


This study was supported by the National Natural Science Foundation of China (81101483 to X. Zhang), Program for New Century Excellent Talents in University (NCET-11-0933 to X. Zhang), A Foundation for the Author of National Excellent Doctoral Dissertation of PR China (FANEDD) (201274 to X. Zhang), Science Fund for Distinguished Young Scholars of Hebei Scientific Committee (2012401022 to X. Zhang), and Leader talent cultivation plan of innovation team in Hebei province (LJRC001 to X. Zhang).

Competing Interests

The authors have declared that no competing interest exists.


1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893-917 doi:10.1002/ijc.25516

2. Kelley JR, Duggan JM. Gastric cancer epidemiology and risk factors. J Clin Epidemiol. 2003;56:1-9

3. Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature. 2008;454:436-44 doi:10.1038/nature07205

4. Mantovani A. Cancer: inflammation by remote control. Nature. 2005;435:752-3 doi:10.1038/435752a

5. Wang F, Meng W, Wang B, Qiao L. Helicobacter pylori-induced gastric inflammation and gastric cancer. Cancer Lett. 2014;345:196-202 doi:10.1016/j.canlet.2013.08.016

6. Epplein M, Xiang YB, Cai Q, Peek RM Jr, Li H, Correa P. et al. Circulating cytokines and gastric cancer risk. Cancer Causes Control. 2013;24:2245-50 doi:10.1007/s10552-013-0284-z

7. Lin WW, Karin M. A cytokine-mediated link between innate immunity, inflammation, and cancer. J Clin Invest. 2007;117:1175-83 doi:10.1172/JCI31537

8. Gelderman KA, Tomlinson S, Ross GD, Gorter A. Complement function in mAb-mediated cancer immunotherapy. Trends Immunol. 2004;25:158-64 doi:10.1016/j.it.2004.01.008

9. Markiewski MM, DeAngelis RA, Benencia F, Ricklin-Lichtsteiner SK, Koutoulaki A, Gerard C. et al. Modulation of the antitumor immune response by complement. Nat Immunol. 2008;9:1225-35 doi:10.1038/ni.1655

10. Ostrand-Rosenberg S. Cancer and complement. Nat Biotechnol. 2008;26:1348-9 doi:10.1038/nbt1208-1348

11. Markiewski MM, Lambris JD. Is complement good or bad for cancer patients? A new perspective on an old dilemma. Trends Immunol. 2009;30:286-92 doi:10.1016/j.it.2009.04.002

12. Furtado PB, Huang CY, Ihyembe D, Hammond RA, Marsh HC, Perkins SJ. The partly folded back solution structure arrangement of the 30 SCR domains in human complement receptor type 1 (CR1) permits access to its C3b and C4b ligands. J Mol Biol. 2008;375:102-18 doi:10.1016/j.jmb.2007.09.085

13. Liu D, Niu ZX. The structure, genetic polymorphisms, expression and biological functions of complement receptor type 1 (CR1/CD35). Immunopharmacol Immunotoxicol. 2009;31:524-35 doi:10.3109/08923970902845768

14. Fearon DT, Ahearn JM. Complement receptor type 1 (C3b/C4b receptor; CD35) and complement receptor type 2 (C3d/Epstein-Barr virus receptor; CD21). Curr Top Microbiol Immunol. 1990;153:83-98

15. He JR, Xi J, Ren ZF, Qin H, Zhang Y, Zeng YX. et al. Complement receptor 1 expression in peripheral blood mononuclear cells and the association with clinicopathological features and prognosis of nasopharyngeal carcinoma. Asian Pac J Cancer Prev. 2012;13:6527-31

16. Srivastava A, Mittal B. Complement receptor 1 (A3650G RsaI and intron 27 HindIII) polymorphisms and risk of gallbladder cancer in north Indian population. Scand J Immunol. 2009;70:614-20 doi:10.1111/j.1365-3083.2009.02329.x

17. Yu X, Rao J, Lin J, Zhang Z, Cao L, Zhang X. Tag SNPs in complement receptor-1 contribute to the susceptibility to non-small cell lung cancer. Mol Cancer. 2014;13:56. doi:10.1186/1476-4598-13-56

18. Teeranaipong P, Ohashi J, Patarapotikul J, Kimura R, Nuchnoi P, Hananantachai H. et al. A functional single-nucleotide polymorphism in the CR1 promoter region contributes to protection against cerebral malaria. J Infect Dis. 2008;198:1880-91 doi:10.1086/593338

19. Kullo IJ, Ding K, Shameer K, McCarty CA, Jarvik GP, Denny JC. et al. Complement receptor 1 gene variants are associated with erythrocyte sedimentation rate. Am J Hum Genet. 2011;89:131-8 doi:10.1016/j.ajhg.2011.05.019

20. Chen GB, Xu Y, Xu HM, Li MD, Zhu J, Lou XY. Practical and theoretical considerations in study design for detecting gene-gene interactions using MDR and GMDR approaches. PLoS One. 2011;6:e16981. doi:10.1371/journal.pone.0016981

21. Lou XY, Chen GB, Yan L, Ma JZ, Zhu J, Elston RC. et al. A generalized combinatorial approach for detecting gene-by-gene and gene-by-environment interactions with application to nicotine dependence. Am J Hum Genet. 2007;80:1125-37 doi:10.1086/518312

22. Gonda TA, Tu S, Wang TC. Chronic inflammation, the tumor microenvironment and carcinogenesis. Cell Cycle. 2009;8:2005-13

23. Shi Y, Hu Z, Wu C, Dai J, Li H, Dong J. et al. A genome-wide association study identifies new susceptibility loci for non-cardia gastric cancer at 3q13.31 and 5p13.1. Nat Genet. 2011;43:1215-8 doi:10.1038/ng.978

24. Ju H, Lim B, Kim M, Noh SM, Kim WH, Ihm C. et al. SERPINE1 intron polymorphisms affecting gene expression are associated with diffuse-type gastric cancer susceptibility. Cancer. 2010;116:4248-55 doi:10.1002/cncr.25213

25. Lochhead P, Ng MT, Hold GL, Rabkin CS, Vaughan TL, Gammon MD. et al. Possible association between a genetic polymorphism at 8q24 and risk of upper gastrointestinal cancer. Eur J Cancer Prev. 2011;20:54-7 doi:10.1097/CEJ.0b013e328341e320

26. Palli D, Polidoro S, D'Errico M, Saieva C, Guarrera S, Calcagnile AS. et al. Polymorphic DNA repair and metabolic genes: a multigenic study on gastric cancer. Mutagenesis. 2010;25:569-75 doi:10.1093/mutage/geq042

27. Frejlich E, Rudno-Rudzinska J, Janiszewski K, Salomon L, Kotulski K, Pelzer O. et al. Caspases and their role in gastric cancer. Adv Clin Exp Med. 2013;22:593-602

28. Yoon J, Hyun MH, Yang JP, Park MJ, Park S. Ethnic differences in the association of the glutathione S-transferase T1 (GSTT1) null genotype and risk of gastric carcinoma: a systematic review and meta-analysis. Mol Biol Rep. 2014;41:3867-79 doi:10.1007/s11033-014-3254-y

29. Rutkowski MJ, Sughrue ME, Kane AJ, Mills SA, Parsa AT. Cancer and the complement cascade. Mol Cancer Res. 2010;8:1453-65 doi:10.1158/1541-7786.MCR-10-0225

30. Ernst P. Review article: the role of inflammation in the pathogenesis of gastric cancer. Aliment Pharmacol Ther. 1999;13(Suppl 1):13-8

31. Guo RF, Ward PA. Role of C5a in inflammatory responses. Annu Rev Immunol. 2005;23:821-52 doi:10.1146/annurev.immunol.23.021704.115835

32. Kohl J. Anaphylatoxins and infectious and non-infectious inflammatory diseases. Mol Immunol. 2001;38:175-87

33. Fishelson Z, Donin N, Zell S, Schultz S, Kirschfink M. Obstacles to cancer immunotherapy: expression of membrane complement regulatory proteins (mCRPs) in tumors. Mol Immunol. 2003;40:109-23

34. Fedarko NS, Fohr B, Robey PG, Young MF, Fisher LW. Factor H binding to bone sialoprotein and osteopontin enables tumor cell evasion of complement-mediated attack. J Biol Chem. 2000;275:16666-72 doi:10.1074/jbc.M001123200

35. Mamidi S, Cinci M, Hasmann M, Fehring V, Kirschfink M. Lipoplex mediated silencing of membrane regulators (CD46, CD55 and CD59) enhances complement-dependent anti-tumor activity of trastuzumab and pertuzumab. Mol Oncol. 2013;7:580-94 doi:10.1016/j.molonc.2013.02.011

36. Varela JC, Atkinson C, Woolson R, Keane TE, Tomlinson S. Upregulated expression of complement inhibitory proteins on bladder cancer cells and anti-MUC1 antibody immune selection. Int J Cancer. 2008;123:1357-63 doi:10.1002/ijc.23676

37. Yan J, Allendorf DJ, Li B, Yan R, Hansen R, Donev R. The role of membrane complement regulatory proteins in cancer immunotherapy. Adv Exp Med Biol. 2008;632:159-74

38. Zhang Z, Yu D, Yuan J, Guo Y, Wang H, Zhang X. Cigarette smoking strongly modifies the association of complement factor H variant and the risk of lung cancer. Cancer Epidemiol. 2012;36:e111-5 doi:10.1016/j.canep.2011.11.004

39. Schifferli JA, Ng YC, Paccaud JP, Walport MJ. The role of hypocomplementaemia and low erythrocyte complement receptor type 1 numbers in determining abnormal immune complex clearance in humans. Clin Exp Immunol. 1989;75:329-35

40. Osaki Y, Koga S, Maeta M, Shimizu N, Kanayama H, Hamazoe R. Circulating immune complexes in gastric cancer patients and their effect on lymphocyte mitogenesis (the first report). Jpn J Surg. 1984;14:524-6

41. Katyal M, Tiwari SC, Kumar A, Dinda AK, Arora V, Kumar R. et al. Association of complement receptor 1 (CR1, CD35, C3b/C4b receptor) density polymorphism with glomerulonephritis in Indian subjects. Mol Immunol. 2004;40:1325-32 doi:10.1016/j.molimm.2003.12.003

42. Iida K, Nussenzweig V. Complement receptor is an inhibitor of the complement cascade. J Exp Med. 1981;153:1138-50

43. Krych-Goldberg M, Moulds JM, Atkinson JP. Human complement receptor type 1 (CR1) binds to a major malarial adhesin. Trends Mol Med. 2002;8:531-7

44. Birmingham DJ, Chen W, Liang G, Schmitt HC, Gavit K, Nagaraja HN. A CR1 polymorphism associated with constitutive erythrocyte CR1 levels affects binding to C4b but not C3b. Immunology. 2003;108:531-8

45. Moore JH. Detecting, characterizing, and interpreting nonlinear gene-gene interactions using multifactor dimensionality reduction. Adv Genet. 2010;72:101-16 doi:10.1016/B978-0-12-380862-2.00005-9

46. Gonzalez-Hormazabal P, Musleh M, Bustamante M, Stambuk J, Escandar S, Valladares H. et al. Role of cytokine gene polymorphisms in gastric cancer risk in Chile. Anticancer Res. 2014;34:3523-30

47. Kim J, Kim JW, Kim Y, Lee KA. Differential association of RANTES-403 and IL-1B-1464 polymorphisms on histological subtypes in male Korean patients with gastric cancer. Tumour Biol. 2014;35:3765-70 doi:10.1007/s13277-013-1498-0

Author contact

Corresponding address Corresponding author: Xuemei Zhang, Institute of Molecular Genetics, College of Life Sciences, Hebei United University, Tangshan, China; Phone: 86-3153721591; Fax: 86-3153721591 Email: jyxuemeicom; zhangxuemeiedu.cn

Received 2014-10-7
Accepted 2014-11-26
Published 2015-4-5