Skip to main content
International Orthopaedics logoLink to International Orthopaedics
. 2014 May 31;38(8):1671–1676. doi: 10.1007/s00264-014-2374-2

Genetic polymorphisms of interleukin-1 beta and osteosarcoma risk

Yu He 1, XinJun Liang 2, ChunQing Meng 1, ZengWu Shao 1, Yong Gao 1, Qiang Wu 1, JianXiang Liu 1, Hong Wang 1,, ShuHua Yang 1,
PMCID: PMC4115099  PMID: 24878968

Abstract

Purpose

Osteosarcoma is the most common childhood bone cancer. Interleukin-1 beta (IL-1B) is crucially involved in osteosarcoma carcinogenesis. Whether genetic polymorphisms of IL-1B also influence osteosarcoma risk is unknown. The aim of this study was to investigate the association between IL-1B gene polymorphisms and osteosarcoma risk in Chinese Han patients.

Methods

A hospital-based case–control study involving 120 osteosarcoma patients and 120 controls was conducted. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) analysis was performed to detect three IL-1B gene polymorphisms (−31 T/C, −511 C/T and +3954 C/T) in these patients.

Results

Patients with osteosarcoma had a significantly lower frequency of −31 CC genotype [odds ratio (OR) = 0.40, 95 % confidence interval (CI) = 0.17–0.92; P = 0.03] and −31 C allele (OR = 0.67, 95 % CI = 0.46–0.99; P = 0.04) than controls. Patients with osteosarcoma had a significantly lower frequency of −511 TT genotype (OR = 0.40, 95 % CI = 0.17–0.95; P = 0.04) than controls. The +3954 C/T gene polymorphisms were not associated with a risk of osteosarcoma. When stratified by Enneking stage, tumour location, histological type, tumour metastasis of osteosarcoma and family history of cancer, no statistically significant results were found.

Conclusions

This is the first study to provide evidence for an association of IL-1B gene polymorphisms with osteosarcoma risk.

Keywords: Osteosarcoma, Interleukin-1 beta, Gene polymorphism, Hospital-based case–control study

Introduction

Osteosarcoma is the most commonly diagnosed primary malignancy of bone, particularly among children and adolescents, but there is a second incidence peak among individuals  > 60 years [1, 2]. Osteosarcoma is a complex, multistep and multifactorial process in which many factors are implicated [35]. Several research groups are investigating cancer stem cells and their potential to cause tumours [6, 7]. Bone dysplasias, Li–Fraumeni syndrome and Rothmund–Thomson syndrome are associated with increased risk of osteosarcoma [8, 3, 4, 6, 5]. Previous studies suggest a genetic predisposition for osteosarcoma [913].

The interleukin-1 (IL-1) gene cluster on chromosome 2q contains three related genes within a 430-kilobase (kb) region, IL-1A, IL-1B and IL-1RN [14]. The IL-1B gene, encoding IL-1beta cytokine, contains several single-nucleotide polymorphisms (SNPs). Three di-allelic polymorphisms in IL-1B have been reported, all representing C-T base transitions, at positions −511, −31 and +3954 base pairs (bp) from the transcriptional start site [14]. These polymorphisms have been associated with increased risk of developing a number of inflammatory diseases and cancer [1520].

The IL-1B is crucially involved in osteosarcoma carcinogenesis [2123]. Whether genetic polymorphisms of IL-1B also influence osteosarcoma risk is unknown. The aim of this study was to investigate the association between IL-1B gene polymorphisms and osteosarcoma risk in Chinese Han patients.

Materials and methods

Study participants

A hospital-based case–control study involving 120 osteosarcoma patients and 120 controls was conducted between January 2009 to January 2014 in the Union Hospital of Tongji Medical College and Cancer Hospital of Wuhan University (Wuhan, China). The healthy controls, who were free from any cancer and matched by gender and age, were recruited when they were attending a clinic for routine examination. These controls were genetically unrelated to the patients. Osteosarcoma patients were newly diagnosed and histopathologically confirmed independently by two gynaecologic pathologists. For the cases, clinical and pathological information was extracted, including Enneking stage (I–III), tumour location (extremities and other), histological type (osteoblastic, chondroblastic, fibroblastic and mixed), tumour metastasis and family history of cancer. The Chinese Han population was collected from the same geographic region. Written informed consents were obtained according to the Declaration of Helsinki from both groups. The Ethical Committee of the Union Hospital of Tongji Medical College and Cancer Hospital of Wuhan University approved the study protocols.

Genotyping

Genomic DNA was extracted from peripheral blood mononuclear cells of study participants using the QIAamp DNA blood minikit (QIAGEN Inc., Valencia, CA, USA). The IL-1B −31 T/C, −511 C/T and +3954 C/T gene polymorphisms were then determined using a polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) assay. Based on the GenBank reference sequence, the PCR primers designed for IL-1B −31 T/C, −511 C/T and +3954 C/T were 5′- TCT TTT CCC CTT TCC TTT AAC T -3′ (forward) and 5′- GAG AGA CTC CCT TAG CAC CTA GT -3′ (reverse); 5′- CTG CAT ACC GTA TGT TCT CTG CC -3′ (forward) and 5′- GGA ATC TTC CCA CTTA CAG ATG G -3′ (reverse); 5′- GAC TTT GAC CGT ATA TGC TCA G -3′ (forward) and 5′- ATG GAC CAG ACA TCA CCA AGC -3′ (reverse), respectively. Reaction conditions were: ten minutes at 95 °C, 40 cycles of 30 seconds at 72 °C, 20 seconds at 95 °C, 30 seconds at 59 °C. PCR products were digested overnight with the appropriate restriction enzymes (New England Biolabs, Beverly, MA, USA), which were AluI for the −31 T/C, DdeI for the −511 C/T and NcoI and TaqI for the +3954 C/T polymorphisms. The digested PCR products were resolved on a 3 % agarose gel and stained with ethidium bromide for visualization under ultraviolet (UV) light. For quality control, the genotyping analysis was done blind as regards participants. The selected PCR-amplified DNA samples were also examined by DNA sequencing to confirm genotyping results.

Statistical analysis

The Statistical Analysis System software (Version 11; SAS Institute Inc., Cary, NC, USA) was used to perform all statistical analyses. Comparisons between groups were made using the x2 test (nominal data) or Student’s t test (interval data). Comparison of genotypes of IL-1B variants between cases and controls was evaluated using the chi-square test. Crude odds ratios (OR) and adjusted ORs for sex and age, with 95 % confidence interval (CI), were calculated by logistic regression analysis. The Hardy–Weinberg equilibrium was tested for goodness-of-fit chi-square test with one degree of freedom to compare the observed genotype frequencies among individuals with the expected genotype frequencies. P value < 0.05 was considered statistically significant.

Results

Participant characteristics

Clinicopathological characteristics in patients with osteosarcoma and in controls are presented in Table 1. Cases and controls did not differ regarding gender (P = 0.60) or age (P = 0.81). Nine (7.5 %) cases Enneking stage I osteosarcoma, 56 (46.7 %) were stage II osteosarcoma and 55 (45.8 %) were stage III osteosarcoma. Tumour location of these cases were 91 (75.8 %) in extremities and 29 (24.2 %) other osteosarcoma. Histological types were 38 (31.6 %) osteoblastic osteosarcoma, 41 (34.2 %) were chondroblastic osteosarcoma, 15 (12.5 %) were fibroblastic osteosarcoma and 26 (21.7 %) were mixed osteosarcoma. Tumour metastasis were positive osteosarcoma in 55 (45.8 %) and negative osteosarcoma in 65 (54.2 %). Family history of cancer in these cases showed 11 (9.2 %) were positive and 109 (90.8 %) were negative.

Table 1.

Clinicopathological characteristics in patients with osteosarcoma and controls

Variable Cases (n = 120) Controls (n = 120) P value
Gender (%) 0.60
 Male 68 (56.7) 64 (53.3)
 Female 52 (43.3) 56 (46.7)
Age; mean (SD) year 23.7 (12.8) 24.1 (13.0) 0.81
Enneking stage (%)
 I 9 (7.5) NA
 II 56 (46.7) NA
 III 55 (45.8) NA
Tumour location (%)
 Extremities 91 (75.8) NA
 Other 29 (24.2) NA
Histological type (%)
 Osteoblastic 38 (31.6) NA
 Chondroblastic 41 (34.2) NA
 Fibroblastic 15 (12.5) NA
 Mixed 26 (21.7) NA
Tumour metastasis (%)
 Positive 55 (45.8) NA
 Negative 65 (54.2) NA
Family history of cancer
 Positive 11 (9.2) NA
 Negative 109 (90.8) NA

SD standard deviation, NA not applicable

IL-1B −31 T/C polymorphism and osteosarcoma

Patients with osteosarcoma had a significantly lower frequency of −31 CC genotype (OR =0.40, 95 % CI = 0.17–0.92; P = 0.03) and −31 C allele (OR = 0.67, 95 % CI = 0.46–0.99; P = 0.04) than controls (Table 2). When stratified by Enneking stage, tumour location, histological type, tumour metastasis of osteosarcoma and family history of cancer, no statistically significant results was found (Table 3).

Table 2.

IL-1B gene polymorphisms among osteosarcoma patients and controls

Genotype Cases n (%) Controls n (%) OR (95 % CI) P value
−31 TT 60 (50.0) 50 (41.7) 1.00 (reference)
−31 TC 50 (41.7) 49 (40.8) 0.85 (0.49,1.47) 0.56
−31 CC 10 (8.3) 21 (17.5) 0.40 (0.17,0.92) 0.03
−31 T allele frequency 170 (70.8) 149 (62.1) 1.00 (reference)
−31 C allele frequency 70 (29.2) 91 (37.9) 0.67 (0.46,0.99) 0.04
−511 CC 59 (49.2) 52 (43.3) 1.00 (reference)
−511 CT 52 (43.3) 48 (40.0) 0.96 (0.56,1.64) 0.87
−511 TT 9 (7.5) 20 (16.7) 0.40 (0.17,0.95) 0.04
−511 C allele frequency 170 (70.8) 152 (63.3) 1.00 (reference)
−511 T allele frequency 70 (29.2) 88 (36.7) 0.71 (0.49,1.04) 0.08
+3954 CC 77 (64.2) 79 (65.8) 1.00 (reference)
+3954 CT 30 (25.0) 32 (26.7) 0.96 (0.53,1.73) 0.90
+3954 TT 13 (10.8) 9 (7.5) 1.48 (0.60,3.67) 0.40
+3954 C allele frequency 184 (76.7) 190 (79.2) 1.00 (reference)
+3954 T allele frequency 56 (23.3) 50 (20.8) 1.16 (0.75,1.78) 0.51

OR odds ratio, CI confidence interval

Table 3.

Stratification analysis of IL-1B gene polymorphisms among osteosarcoma patients

Variable Cases −31 TT −31 TC −31 CC −511 CC −511 CT −511 TT +3954 CC +3954 CT +3954 TT
n P n P n P n P n P n P n P n P n P
Enneking stage 120 60 50 10 59 52 9 77 30 13
I 9 5 0.86 3 0.75 1 0.79 4 0.87 4 0.97 1 0.72 6 0.94 2 0.88 1 0.98
II 56 25 0.69 26 0.71 5 0.90 27 0.95 25 0.92 4 0.94 35 0.92 15 0.85 6 0.98
III 55 30 0.75 21 0.78 4 0.82 28 0.90 23 0.91 4 0.96 36 0.94 13 0.88 6 0.99
Tumour location 120 60 50 10 59 52 9 77 30 13
Extremities 91 46 0.96 37 0.92 8 0.91 45 0.98 39 0.97 7 0.96 60 0.90 22 0.92 9 0.84
Other 29 14 0.92 13 0.85 2 0.81 14 0.96 13 0.93 2 0.92 17 0.79 8 0.83 4 0.69
Histological type 120 60 50 10 59 52 9 77 30 13
Osteoblastic 38 19 1.00 16 0.98 3 0.94 18 0.91 17 0.92 3 0.94 25 0.93 9 0.90 4 0.96
Chondroblastic 41 20 0.94 17 0.99 4 0.80 20 0.98 18 0.97 3 0.97 26 0.97 10 0.95 5 0.83
Fibroblastic 15 7 0.89 7 0.82 1 0.84 8 0.86 6 0.88 1 0.91 10 0.93 4 0.91 1 0.65
Mixed 26 14 0.84 10 0.85 2 0.92 13 0.96 11 0.95 2 0.98 16 0.91 7 0.88 3 0.93
Tumor metastasis 120 60 50 10 59 52 9 77 30 13
Yes 55 28 0.95 23 0.99 4 0.82 28 0.90 23 0.91 4 0.96 35 0.98 14 0.96 6 0.99
No 65 32 0.95 27 0.99 6 0.85 31 0.91 29 0.92 5 0.97 42 0.98 16 0.96 7 0.99
Family history of cancer 120 60 50 10 59 52 9 77 30 13
Yes 11 4 0.60 6 0.61 1 0.94 5 0.89 5 0.93 1 0.86 7 0.99 3 0.90 1 0.87
No 109 56 0.91 44 0.90 9 0.99 54 0.97 47 0.98 8 0.97 70 0.99 27 0.98 12 0.97

IL-1B −511 C/T polymorphism and osteosarcoma

Patients with osteosarcoma had a significantly lower frequency of −511 TT genotype (OR = 0.40, 95 % CI = 0.17–0.95; P = 0.04) than controls (Table 2). When stratified by Enneking stage, tumour location, histological type, tumour metastasis of osteosarcoma and family history of cancer, no statistically significant results were found (Table 3).

IL-1B +3954 C/T polymorphism and osteosarcoma

The +3954 C/T polymorphisms were not associated with a risk of osteosarcoma (Table 2). When stratified by Enneking stage, tumour location, histological type, tumour metastasis of osteosarcoma and family history of cancer, no statistically significant results were found (Table 3).

Discussion

There is increasing evidence of the association between genetic polymorphisms and risk of osteosarcoma. A case–control study found that polymorphisms of ITGA3 gene rs2230392 may affect incidence, metastasis and survival in patients with osteosarcoma and have prognostic value [24]. Another study provided the first evidence for the association between collagen type I alpha-1 polymorphism and osteosarcoma risk in Chinese [9]. A case–control study suggested that IL-12 gene polymorphisms were associated with the risk of osteosarcoma [25]. A meta-analysis of seven studies suggested that the rs231775 polymorphism of cytotoxic T-lymphocyte antigen-4 may play an important role in osteosarcoma carcinogenesis [26, 13, 27]. A hospital-based case–control study suggested that bisphenol A exposure interacts with the −22 G/C polymorphism of the lysyl oxidase gene to increase the risk of osteosarcoma [11]. A case–control study suggested that genotype CC in PIK3CA locus rs7646409 may increase the risk of osteosarcoma in the Chinese population [10]. A case–control study suggested that MDM2 genetic variants are potentially related to osteosarcoma susceptibility in Chinese Han population [28]. A case–control study suggested that the +1057G/A polymorphism of the CD86 gene was associated with increased susceptibility to osteosarcoma [29]. Another study concluded that Int7G24A was a polymorphism of TGFBR1 that is associated with the susceptibility and distant metastasis of osteosarcoma [30]. A case–control study suggested that PON1 192 wild-type genotypes may be associated with a risk of developing osteosarcoma [31]. A case–control study suggested an association between Fas exon 3 A > G polymorphism and osteosarcoma risk [32].

The association between IL-1B gene polymorphisms and other cancer types was much studied [33]. A case–control study demonstrated that genotype CC or CT of IL-1B −31, TT or CT of IL-1B −511 increased the risk of gastric cancer in this Chinese population, and the risk was further enhanced by Helicobacter pylori [34]. A meta-analysis of 39 studies, which compared 6,863 gastric cancer cases and 8,434 controls, suggested that IL-1B −511 genetic polymorphisms were associated with an increased risk of developing gastric cancer [35]. A case–control study suggested that IL-1B −511 C/T gene polymorphisms were associated with cervical cancer risk in Egyptian women [36]. Another study provided evidence of an association between IL-1B +3953 polymorphism and risk of cervical cancer [37]. A case–control study demonstrated that the IL-1B −31 T allele was positively associated with a risk for non-small-cell lung cancer (NSCLC), and the carriers of IL-1B −31 T/T or −511C/C would have a higher risk of developing NSCLC if they drank alcohol or smoked heavily [38]. A case–control study demonstrated that IL-1B gene polymorphisms influenced survival rates in patients with pancreatic cancer [39].

Some shortcomings of this study should be noted. Firstly, although our study suggested statistically significant interactions between IL-1B gene polymorphisms and osteosarcoma risk, more biological background data are needed to explain our results. Secondly, this study only considers a Chinese population, which may limit the application of these findings to other ethnic populations. Thirdly, this is a hospital-based case –control study, so selection bias may not be avoidable, and participants may not be representative of the general population. Finally, findings might involve gene-to-environment interactions, which are not explored here.

In conclusion, to the best of our knowledge, this is the first study to provide evidence for an association between IL-1B gene polymorphisms and osteosarcoma risk. Our study suggests that patients with osteosarcoma have a significantly lower frequency of IL-1B −31 CC genotype, IL-1B −511 TT genotype and IL-1B −31 C allele than controls. We also found that IL-1B +3954 C/T gene polymorphisms are not associated with a risk of osteosarcoma. However, it is highly desirable that our findings are validated through replication in other case–control series.

Acknowledgments

Thanks are expressed to all coinvestigators, local project coordinators, research assistants, laboratory technicians and secretaries/administrative assistants.

Competing interest

None.

Abbreviations

IL-1B

Interleukin-1 beta

PCR-RFLP

Polymerase chain reaction restriction fragment length polymorphism

OR

Odds ratio

CI

Confidence interval

SNPs

Single-nucleotide polymorphisms

UTR

Untranslated region

NSCLC

Non-small-cell lung cancer

Footnotes

Yu He and Xinjun Liang contributed equally to this work and are joint first authors.

Contributor Information

Hong Wang, Email: hwangh@outlook.com.

ShuHua Yang, Email: shuhyang@yeah.net.

References

  • 1.Mirabello L, Troisi RJ, Savage SA. Osteosarcoma incidence and survival rates from 1973 to 2004: data from the Surveillance, Epidemiology, and End Results Program. Cancer. 2009;115:1531–1543. doi: 10.1002/cncr.24121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Ottaviani G, Jaffe N. The epidemiology of osteosarcoma. Cancer Treat Res. 2009;152:3–13. doi: 10.1007/978-1-4419-0284-9_1. [DOI] [PubMed] [Google Scholar]
  • 3.Powers M, Zhang W, Lopez-Terrada D, et al. The molecular pathology of sarcomas. Cancer Biomark. 2010;9:475–491. doi: 10.3233/CBM-2011-0170. [DOI] [PubMed] [Google Scholar]
  • 4.Bovee JV, Hogendoorn PC. Molecular pathology of sarcomas: concepts and clinical implications. Virchows Arch. 2010;456:193–199. doi: 10.1007/s00428-009-0828-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.de Alava E. Molecular pathology in sarcomas. Clin Transl Oncol. 2007;9:130–144. doi: 10.1007/s12094-007-0027-2. [DOI] [PubMed] [Google Scholar]
  • 6.Osuna D, de Alava E. Molecular pathology of sarcomas. Rev Recent Clin Trials. 2009;4:12–26. doi: 10.2174/157488709787047585. [DOI] [PubMed] [Google Scholar]
  • 7.Berger M, Muraro M, Fagioli F, et al. Osteosarcoma derived from donor stem cells carrying the Norrie’s disease gene. N Engl J Med. 2008;359:2502–2504. doi: 10.1056/NEJMc0807172. [DOI] [PubMed] [Google Scholar]
  • 8.Romeo S, Dei Tos AP. Clinical application of molecular pathology in sarcomas. Curr Opin Oncol. 2011;23:379–384. doi: 10.1097/CCO.0b013e328347b9be. [DOI] [PubMed] [Google Scholar]
  • 9.He M, Wang Z, Zhao J, et al. COL1A1 polymorphism is associated with risks of osteosarcoma susceptibility and death. Tumour Biol. 2014;35:1297–1305. doi: 10.1007/s13277-013-1172-6. [DOI] [PubMed] [Google Scholar]
  • 10.He ML, Wu Y, Zhao JM, et al. PIK3CA and AKT gene polymorphisms in susceptibility to osteosarcoma in a Chinese population. Asian Pac J Cancer Prev. 2013;14:5117–5122. doi: 10.7314/APJCP.2013.14.9.5117. [DOI] [PubMed] [Google Scholar]
  • 11.Jia J, Tian Q, Liu Y, et al. Interactive effect of bisphenol A (BPA) exposure with -22G/C polymorphism in LOX gene on the risk of osteosarcoma. Asian Pac J Cancer Prev. 2013;14:3805–3808. doi: 10.7314/APJCP.2013.14.6.3805. [DOI] [PubMed] [Google Scholar]
  • 12.Zhang SL, Mao NF, Sun JY, et al. Predictive potential of glutathione S-transferase polymorphisms for prognosis of osteosarcoma patients on chemotherapy. Asian Pac J Cancer Prev. 2012;13:2705–2709. doi: 10.7314/APJCP.2012.13.6.2705. [DOI] [PubMed] [Google Scholar]
  • 13.Wang W, Wang J, Song H, et al. Cytotoxic T-lymphocyte antigen-4 + 49G/A polymorphism is associated with increased risk of osteosarcoma. Genet Test Mol Biomark. 2011;15:503–506. doi: 10.1089/gtmb.2010.0264. [DOI] [PubMed] [Google Scholar]
  • 14.Dinarello CA. Biologic basis for interleukin-1 in disease. Blood. 1996;87:2095–2147. [PubMed] [Google Scholar]
  • 15.El-Omar EM, Carrington M, Chow WH, et al. Interleukin-1 polymorphisms associated with increased risk of gastric cancer. Nature. 2000;404:398–402. doi: 10.1038/35006081. [DOI] [PubMed] [Google Scholar]
  • 16.El-Omar EM, Carrington M, Chow WH, et al. The role of interleukin-1 polymorphisms in the pathogenesis of gastric cancer. Nature. 2001;412:99. doi: 10.1038/35083631. [DOI] [PubMed] [Google Scholar]
  • 17.Dennis RA, Trappe TA, Simpson P, et al. Interleukin-1 polymorphisms are associated with the inflammatory response in human muscle to acute resistance exercise. J Physiol. 2004;560:617–626. doi: 10.1113/jphysiol.2004.067876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Vijgen L, Van Gysel M, Rector A, et al. Interleukin-1 receptor antagonist VNTR-polymorphism in inflammatory bowel disease. Genes Immun. 2002;3:400–406. doi: 10.1038/sj.gene.6363888. [DOI] [PubMed] [Google Scholar]
  • 19.Nemetz A, Kope A, Molnar T, et al. Significant differences in the interleukin-1beta and interleukin-1 receptor antagonist gene polymorphisms in a Hungarian population with inflammatory bowel disease. Scand J Gastroenterol. 1999;34:175–179. doi: 10.1080/00365529950173041. [DOI] [PubMed] [Google Scholar]
  • 20.Heresbach D, Alizadeh M, Dabadie A, et al. Significance of interleukin-1beta and interleukin-1 receptor antagonist genetic polymorphism in inflammatory bowel diseases. Am J Gastroenterol. 1997;92:1164–1169. [PubMed] [Google Scholar]
  • 21.Armour KJ, Smith NW, Brown BL, et al. Interleukin-1 beta induces the synthesis of adenylyl cyclase in Swiss 3T3 fibroblasts and MG-63 osteosarcoma cells. Biochem Biophys Res Commun. 1995;212:293–299. doi: 10.1006/bbrc.1995.1969. [DOI] [PubMed] [Google Scholar]
  • 22.Dedhar S. Regulation of expression of the cell adhesion receptors, integrins, by recombinant human interleukin-1 beta in human osteosarcoma cells: inhibition of cell proliferation and stimulation of alkaline phosphatase activity. J Cell Physiol. 1989;138:291–299. doi: 10.1002/jcp.1041380210. [DOI] [PubMed] [Google Scholar]
  • 23.Dedhar S. Signal transduction via the beta 1 integrins is a required intermediate in interleukin-1 beta induction of alkaline phosphatase activity in human osteosarcoma cells. Exp Cell Res. 1989;183:207–214. doi: 10.1016/0014-4827(89)90430-8. [DOI] [PubMed] [Google Scholar]
  • 24.Yang W, He M, Zhao J, et al. Association of ITGA3 gene polymorphisms with susceptibility and clinicopathological characteristics of osteosarcoma. Med Oncol. 2014;31:826. doi: 10.1007/s12032-013-0826-y. [DOI] [PubMed] [Google Scholar]
  • 25.Wang J, Nong L, Wei Y, et al. Association of interleukin-12 polymorphisms and serum IL-12p40 levels with osteosarcoma risk. DNA Cell Biol. 2013;32:605–610. doi: 10.1089/dna.2013.2098. [DOI] [PubMed] [Google Scholar]
  • 26.Liu J, Wang J, Jiang W, et al. Effect of cytotoxic T-lymphocyte antigen-4, TNF-alpha polymorphisms on osteosarcoma: evidences from a meta-analysis. Chin J Cancer Res. 2013;25:671–678. doi: 10.3978/j.issn.1000-9604.2013.11.06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Liu Y, He Z, Feng D, et al. Cytotoxic T-lymphocyte antigen-4 polymorphisms and susceptibility to osteosarcoma. DNA Cell Biol. 2011;30:1051–1055. doi: 10.1089/dna.2011.1269. [DOI] [PubMed] [Google Scholar]
  • 28.He J, Wang J, Wang D, et al. Association analysis between genetic variants of MDM2 gene and osteosarcoma susceptibility in Chinese. Endocr J. 2013;60:1215–1220. doi: 10.1507/endocrj.EJ13-0260. [DOI] [PubMed] [Google Scholar]
  • 29.Wang W, Song H, Liu J, et al. CD86 + 1057G/A polymorphism and susceptibility to osteosarcoma. DNA Cell Biol. 2011;30:925–929. doi: 10.1089/dna.2011.1211. [DOI] [PubMed] [Google Scholar]
  • 30.Hu YS, Pan Y, Li WH, et al. Int7G24A variant of transforming growth factor-beta receptor 1 is associated with osteosarcoma susceptibility in a Chinese population. Med Oncol. 2011;28:622–625. doi: 10.1007/s12032-010-9483-6. [DOI] [PubMed] [Google Scholar]
  • 31.Ergen A, Kilicoglu O, Ozger H, et al. Paraoxonase 1 192 and 55 polymorphisms in osteosarcoma. Mol Biol Rep. 2011;38:4181–4184. doi: 10.1007/s11033-010-0538-8. [DOI] [PubMed] [Google Scholar]
  • 32.Koshkina NV, Kleinerman ES, Li G, et al. Exploratory analysis of Fas gene polymorphisms in pediatric osteosarcoma patients. J Pediatr Hematol Oncol. 2007;29:815–821. doi: 10.1097/MPH.0b013e3181581506. [DOI] [PubMed] [Google Scholar]
  • 33.He B, Zhang Y, Pan Y, et al. Interleukin 1 beta (IL1B) promoter polymorphism and cancer risk: evidence from 47 published studies. Mutagenesis. 2011;26:637–642. doi: 10.1093/mutage/ger025. [DOI] [PubMed] [Google Scholar]
  • 34.He BS, Pan YQ, Xu YF, et al. Polymorphisms in interleukin-1B (IL-1B) and interleukin 1 receptor antagonist (IL-1RN) genes associate with gastric cancer risk in the Chinese population. Dig Dis Sci. 2011;56:2017–2023. doi: 10.1007/s10620-010-1557-y. [DOI] [PubMed] [Google Scholar]
  • 35.Wang P, Xia HH, Zhang JY, et al. Association of interleukin-1 gene polymorphisms with gastric cancer: a meta-analysis. Int J Cancer. 2007;120:552–562. doi: 10.1002/ijc.22353. [DOI] [PubMed] [Google Scholar]
  • 36.Al-Tahhan MA, Etewa RL, El Behery MM. Association between circulating interleukin-1 beta (IL-1beta) levels and IL-1beta C-511T polymorphism with cervical cancer risk in Egyptian women. Mol Cell Biochem. 2011;353:159–165. doi: 10.1007/s11010-011-0782-9. [DOI] [PubMed] [Google Scholar]
  • 37.Sobti RC, Kordi Tamandani DM, Shekari M, et al. Interleukin 1 beta gene polymorphism and risk of cervical cancer. Int J Gynaecol Obstet. 2008;101:47–52. doi: 10.1016/j.ijgo.2007.10.014. [DOI] [PubMed] [Google Scholar]
  • 38.Wu KS, Zhou X, Zheng F, et al. Influence of interleukin-1 beta genetic polymorphism, smoking and alcohol drinking on the risk of non-small cell lung cancer. Clin Chim Acta. 2010;411:1441–1446. doi: 10.1016/j.cca.2010.05.035. [DOI] [PubMed] [Google Scholar]
  • 39.Barber MD, Powell JJ, Lynch SF, et al. A polymorphism of the interleukin-1 beta gene influences survival in pancreatic cancer. Br J Cancer. 2000;83:1443–1447. doi: 10.1054/bjoc.2000.1479. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Orthopaedics are provided here courtesy of Springer-Verlag

RESOURCES