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

OBJECTIVES: 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. METHODS: 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. RESULTS: 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). CONCLUSIONS: 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

A comprehensive candidate gene approach identifies genetic variation associated with osteosarcoma

<p>Abstract</p> <p>Background</p> <p>Osteosarcoma (OS) is a bone malignancy which occurs primarily in adolescents. Since it occurs during a period of rapid growth, genes important in bone formation and growth are plausible modifiers of risk. Genes involved in DNA repair and ribosomal function may contribute to OS pathogenesis, because they maintain the integrity of critical cellular processes. We evaluated these hypotheses in an OS association study of genes from growth/hormone, bone formation, DNA repair, and ribosomal pathways.</p> <p>Methods</p> <p>We evaluated 4836 tag-SNPs across 255 candidate genes in 96 OS cases and 1426 controls. Logistic regression models were used to estimate the odds ratios (OR) and 95% confidence intervals (CI).</p> <p>Results</p> <p>Twelve SNPs in growth or DNA repair genes were significantly associated with OS after Bonferroni correction. Four SNPs in the DNA repair gene <it>FANCM </it>(ORs 1.9-2.0, <it>P </it>= 0.003-0.004) and 2 SNPs downstream of the growth hormone gene <it>GH1 </it>(OR 1.6, <it>P </it>= 0.002; OR 0.5, <it>P </it>= 0.0009) were significantly associated with OS. One SNP in the region of each of the following genes was significant: <it>MDM2</it>, <it>MPG</it>, <it>FGF2</it>, <it>FGFR3</it>, <it>GNRH2</it>, and <it>IGF1</it>.</p> <p>Conclusions</p> <p>Our results suggest that several SNPs in biologically plausible pathways are associated with OS. Larger studies are required to confirm our findings.</p

Genome-wide Association Study Identifies Two Susceptibility Loci for Osteosarcoma

Osteosarcoma is the most common primary bone malignancy of adolescents and young adults. In order to better understand the genetic etiology of osteosarcoma, we performed a multi-stage genome-wide association study (GWAS) consisting of 941 cases and 3,291 cancer-free adult controls of European ancestry. Two loci achieved genome-wide significance: rs1906953 at 6p21.3, in the glutamate receptor metabotropic 4 [GRM4] gene (P = 8.1 ×10-9), and rs7591996 and rs10208273 in a gene desert on 2p25.2 (P = 1.0 ×10-8 and 2.9 ×10-7). These two susceptibility loci warrant further exploration to uncover the biological mechanisms underlying susceptibility to osteosarcoma

Genome-wide association study identifies two susceptibility loci for osteosarcoma

Osteosarcoma is the most common primary bone malignancy of adolescents and young adults. To better understand the genetic etiology of osteosarcoma, we performed a multistage genome-wide association study consisting of 941 individuals with osteosarcoma (cases) and 3,291 cancer-free adult controls of European ancestry. Two loci achieved genome-wide significance: a locus in the GRM4 gene at 6p21.3 (encoding glutamate receptor metabotropic 4; rs1906953; P = 8.1 × 10⁻⁹) and a locus in the gene desert at 2p25.2 (rs7591996 and rs10208273; P = 1.0 × 10⁻⁸ and 2.9 × 10⁻⁷, respectively). These two loci warrant further exploration to uncover the biological mechanisms underlying susceptibility to osteosarcoma

Applications of benefit cost analysis for preventive dentistry programs

Benefit-cost analysis and cost-effectiveness analysis can be used to evaluate preventive regimens and aid policy-makers in making resource-allocation decisions. This paper demonstrates the application of benefit-cost and cost-effectiveness analyses to preventive dental programs. The two analyses are defined and described, and the purpose of each technic is compared. For a hypothetical community, four dental preventive programs are described: community water fluoridation, school water fluoridation, weekly school-based mouthrinses, and school-based sealants. Benefit-cost ratios and cost-effectiveness ratios are calculated for each program first assuming steady-state conditions, i.e., maximum caries reduction, and then for a 20-year period. Both explicit and implicit costs are included. Underlying assumptions and limitations, as well as the effects of changes in caries rates, differential attack rates, and discount rates on the outcome, are discussed. The analysis reveals that community water fluoridation yields the greatest net benefits and most favorable B/C and C/E ratios. School water fluoridation and mouthrinsing programs are the next most cost-effective, with similar B/C and C/E ratios when the implicit cost of teachers\u27 time is omitted from the calculations. The school-based sealant program yields negative net benefits