Increased Risk Of Osteosarcoma Research Articles

Genetically inferred birthweight, height, and puberty timing and risk of osteosarcoma

IntroductionSeveral studies have linked increased risk of osteosarcoma with tall stature, high birthweight, and early puberty, although evidence is inconsistent. We used genetic risk scores (GRS) based on established genetic loci for these traits and evaluated associations between genetically inferred birthweight, height, and puberty timing with osteosarcoma. MethodsUsing genotype data from two genome-wide association studies, totaling 1039 cases and 2923 controls of European ancestry, association analyses were conducted using logistic regression for each study and meta-analyzed to estimate pooled odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses were conducted by case diagnosis age, metastasis status, tumor location, tumor histology, and presence of a known pathogenic variant in a cancer susceptibility gene. ResultsGenetically inferred higher birthweight was associated with an increased risk of osteosarcoma (OR =1.59, 95% CI 1.07–2.38, P = 0.02). This association was strongest in cases without metastatic disease (OR =2.46, 95% CI 1.44–4.19, P = 9.5 ×10-04). Although there was no overall association between osteosarcoma and genetically inferred taller stature (OR=1.06, 95% CI 0.96–1.17, P = 0.28), the GRS for taller stature was associated with an increased risk of osteosarcoma in 154 cases with a known pathogenic cancer susceptibility gene variant (OR=1.29, 95% CI 1.03–1.63, P = 0.03). There were no significant associations between the GRS for puberty timing and osteosarcoma. ConclusionA genetic propensity to higher birthweight was associated with increased osteosarcoma risk, suggesting that shared genetic factors or biological pathways that affect birthweight may contribute to osteosarcoma pathogenesis.

Association of GSTM1, GSTT1, GSTM3, and GSTP1 Genes Polymorphisms with Susceptibility to Osteosarcoma: a Case- Control Study and Meta-Analysis

Background:Some studies have investigated the association of GSTM1, GSTT1, GSTM3, and GSTP1 polymorphisms with susceptibility to osteosarcoma; however, these studies results are inconsistent and inconclusive. In order to drive a more precise estimation, the present case-control study and meta-analysis was performed to investigate association of GSTM1, GSTT1, GSTM3, and GSTP1 polymorphisms with osteosarcoma.Methods:Eligible articles were identified by a search of several electronic databases for the period up to May 5, 2018. Odds ratios were pooled using either fixed-effects or random effects models.Results:Finally, a total of 24 case-control studies with 2,405 osteosarcoma cases and 3,293 controls were included in the present meta-analysis. Overall, significantly increased osteosarcoma risk was found when all studies were pooled into the meta-analysis of GSTT1 (Null vs. Present: OR= 1.247 95% CI 1.020-1.524, P= 0.031) and GSTP1 polymorphism (B vs. A: OR= 8.899 95% CI 2.722-29.094, P≤0.001). In the stratified, significantly increased osteosarcoma risk was observed for GSTT1 polymorphism among Asians (Null vs. Present: OR= 1.300 95% CI 1.034-1.635, P= 0.025), but not among Caucasians.Conclusions:This meta-analysis demonstrated that GSTP1 and GSTT1 null genotype are associated with the risk of osteosarcoma. Future large well-designed epidemiological studies are warranted to validate our results.

Haplotype analysis on relationship of ERCC2 and ERCC3 gene polymorphisms with osteosarcoma risk in Chinese young population.

The purpose of the study was to investigate the association of single-nucleotide polymorphisms (SNPs) within excision repair cross-complementation (ERCC) gene polymorphisms, additional gene-gene interaction, and haplotype combination with osteosarcoma risk. Generalized multifactor dimensionality reduction (GMDR) was used to screen the best interaction combination among SNPs. Logistic regression was performed to investigate the association between six SNPs within ERCC gene, additional gene-gene interaction on osteosarcoma risk. Haplotype analysis was performed using SNPstats ( http://bioinfo.iconcologia.net/SNPstats ). Osteosarcoma risk was significantly higher in carriers with the T allele of ERCC2-rs1799793 than those with GG genotype (GT+ TT vs. GG), adjusted OR (95% CI) = 1.56 (1.13-2.01), and higher in carriers with the A allele of ERCC3-rs4150441 than those with GG genotype (GA+ AA vs. GG), adjusted OR (95% CI) = 1.63 (1.25-2.09). GMDR model indicated a significant two-locus model (p = 0.0107) involving rs1799793 and rs4150441; cross-validation consistency of the two-locus model was 9/10; and the testing accuracy was 60.11%. Participants rs1799793-GT or -TT and rs4150441-GA or -AA genotype have the highest osteosarcoma risk, compared to subjects with rs1799793-GG and rs4150441-GG genotype, OR (95% CI) = 2.87 (1.21-4.63), after covariates adjustment. Haplotype containing the rs1799793-T and rs11615-T alleles was associated with a statistically increased osteosarcoma risk, OR (95% CI) = 1.47 (1.12-1.92). We found that the T allele of ERCC2-rs1799793 and the A allele of ERCC3-rs4150441, interaction between rs1799793 and rs4150441, and haplotype containing the rs1799793T and rs11615-T alleles were all associated with increased osteosarcoma risk.

Associations of polymorphisms in the bone morphogenetic protein-2 gene with risk and prognosis of osteosarcoma in a Chinese population.

Osteosarcoma is the most common type of bone cancer in adolescence. Bone morphogenetic protein-2 (BMP-2) plays important roles in the development of bone and cartilage and in inhibiting the tumorigenicity of cancer stem cells in human osteosarcoma cell line. The aim of this study was to examine whether polymorphisms in the BMP2 gene are associated with osteosarcoma risk and prognosis in Chinese population. Five single nucleotide polymorphisms (SNP) in the BMP2 gene were genotyped in a case-control study, including 203 osteosarcoma patients and 406 cancer-free controls. We found that rs3178250 TT genotype was associated with significant increased osteosarcoma risk (age-adjusted odds ratio (OR) = 2.06, 95% confidence intervals (CI) of 1.23-3.45) compared with CC genotype. Subjects carrying the AA genotype of rs1005464 had significant decreased cancer risk (age-adjusted OR = 0.44, 95% CI of 0.23-0.85) compared with those carrying the GG genotype. Haplotype analysis also showed that carriers of the G-T-T-G and A-T-T-G haplotypes (rs235764-rs3178250-rs235768-rs1005464) had significant increased risks of osteosarcoma (age-adjusted OR = 1.85, 95% CI of 1.28-2.66 and age-adjusted OR = 1.51, 95% CI of 1.06-2.16) compared with the G-C-T-A haplotype carriers. Besides, rs1005464 was an independent prognostic factor for osteosarcoma patients (GA vs. GG: age-adjusted hazard radio (HR) = 0.60, 95% CI of 0.36-0.99). Our data suggest that genetic mutations in the BMP2 gene are associated with osteosarcoma risk and prognosis in a Chinese population.

Height at diagnosis and birth-weight as risk factors for osteosarcoma

Osteosarcoma typically occurs during puberty. Studies of the association between height and/or birth-weight and osteosarcoma are conflicting. Therefore, we conducted a large pooled analysis of height and birth-weight in osteosarcoma. Patient data from seven studies of height and three of birth-weight were obtained, resulting in 1,067 cases with height and 434 cases with birth-weight data. We compared cases to the 2000 US National Center for Health Statistics Growth Charts by simulating 1,000 age- and gender-matched controls per case. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for associations between height or birth-weight and risk of osteosarcoma for each study were estimated using logistic regression. All of the case data were combined for an aggregate analysis. Compared to average birth-weight subjects (2,665-4,045 g), individuals with high birth-weight (≥ 4,046 g) had an increased osteosarcoma risk (OR 1.35, 95% CI 1.01-1.79). Taller than average (51st - 89th percentile) and very tall individuals (≥ 90th percentile) had an increased risk of osteosarcoma (OR 1.35, 95% CI 1.18-1.54 and OR 2.60, 95% CI 2.19-3.07, respectively; P (trend) < 0.0001). This is the largest analysis of height at diagnosis and birth-weight in relation to osteosarcoma. It suggests that rapid bone growth during puberty and in utero contributes to OS etiology.

Analysis of Genes Critical for Growth Regulation Identifies Insulin-like Growth Factor 2 Receptor Variations with Possible Functional Significance as Risk Factors for Osteosarcoma

Osteosarcoma, the most common malignant primary bone tumor, typically occurs during the adolescent growth spurt. Germ-line genetic variation in genes critical in growth regulation could confer altered risk of osteosarcoma. Fifty-two common single nucleotide polymorphisms (SNP) in 13 genes were genotyped in a prospective case-control study of osteosarcoma (104 osteosarcoma cases and 74 orthopedic controls). Genotype data analyzed with contingency tables suggested the strongest association with insulin-like growth factor 2 receptor (IGF2R) SNPs. Additional SNPs were genotyped to capture IGF2R common haplotypes and resequencing was done across the IGF2R block associated with osteosarcoma risk. Percentage methylation was determined by pyrosequencing of the IGF2R variant allele located in a CpG island. IGF2R Ex16+88G>A (rs998075) and IVS16+15C>T (rs998074) SNPs were associated with increased risk for osteosarcoma compared with orthopedic controls (haplotype odds ratio, 2.04; 95% confidence interval, 1.29-3.24). Follow-up genotyping showed that IGF2R IVS15+213C>T was also associated with increased osteosarcoma risk. Resequence analysis identified two additional SNPs linked to the risk-associated SNPs; linkage disequilibrium was strongest in a 1-kb pair region around them. The Ex16+88G>A SNP is located within a CpG island and alters methylation at that site. This pilot study of germ-line genetic variation in growth pathway genes and osteosarcoma identified a haplotype block in IGF2R associated with increased risk of osteosarcoma. The presence of a SNP in this block results in loss of methylation at a CpG island, providing corroborative evidence of a possible functional variant. Our analysis of the IGF2R haplotype structure will be applicable to future studies of IGF2R and disease risk.

Osteosarcoma in rats receiving long-term PTH injection

Daily injection of human PTH (1-34) to osteoporotics has been shown to increase bone mineral density and reduce fracture risk within 18 months. Despite its impressive effects on human bone, safety became a big issue when it was revealed that up to 53% of rats received hPTH (1-34) for 2 years developed osteosarcoma. On the interpretation of the data, most experts agreed that this is unlikely to predict an increased risk of osteosarcoma in human osteoporotic patients. Some of the reasonings are as follows: (1) fundamental differences in bone metabolism between rat and human, (2) rats received PTH at a dose 12-25 folds of the human dosage, for 80-90% of their life span whereas in human PTH would be used for only 2-3% of the life span.