Hae-Hiang Song

OBJECTIVES: To measure the cortical and cancellous bone densities of the palatal area in adolescents and adults and to compare bone quality among placement sites of temporary anchorage devices. MATERIALS AND METHODS: One hundred twenty cone beam computerized tomography scans were obtained from 60 adolescents (mean age, 12.2 ± 1.9 years) and 60 adults (24.7 ± 4.9 years). The measurements of palatal bone density were made in Hounsfield units (HU) at 72 sites at the intersections of eight mediolateral and nine anterioposterior reference lines using InVivoDental software. Repeated-measures analysis of variance was used to analyze intragroup and intergroup differences. RESULTS: The cortical and cancellous bone densities in the adults (816 and 154 HU, respectively) were significantly higher than those in the adolescents (606 and 135 HU; P < .001 and P = .032, respectively). However, the anterior portion of the cortical bone in adolescents had similar density values to the posterior portion of the cortical bone in adults. Gender comparison revealed that females had greater cortical bone densities (769 HU) than their male counterparts did (654 HU; P < .001). CONCLUSIONS: Palatal bone densities were significantly higher in adults than in adolescents, and the anterior palatal areas of adolescents were of similar values to those at the posterior palate of adults.

The impact of National Institutes of Health consensus criteria (NCC) graft-versus-host disease (GVHD) on survival has rarely been investigated in a large cohort of patients with GVHD presenting before and after day 100 posttransplantation. We retrospectively investigated 775 patients who underwent allogeneic stem cell transplantation and assessed the GVHD effects on survival by the time-dependent covariates in Cox proportional hazards regression models. Using the NCC, the patients were classified into 4 groups: (1) no GVHD (n = 251); (2) acute GVHD (aGVHD) only (n = 199), including 26 patients with late aGVHD; (3) classic chronic GVHD (cGVHD; n = 232); and (4) overlap syndrome (OS; n = 93). Multivariate analyses showed that classic cGVHD (hazard ratio [HR], 0.46; 95% confidence interval [CI], 0.27-0.77) and OS (HR, 0.52; 95% CI, 0.28-0.96) were associated with significantly decreased risk of relapse, whereas aGVHD only was not associated with relapse rate (HR, 1.11; 95% CI, 0.76-1.63). All aGVHD events, including the period of aGVHD in patients who developed cGVHD after aGVHD, also did not affect the risk of relapse (HR, 0.74; 95% CI, 0.49-1.12). All types of GVHD were significantly associated with higher nonrelapse mortality in common. Finally, patients with aGVHD only had significantly lower overall survival and disease-free survival compared with those without GVHD, in contrast to favorable survival outcomes in patients with cGVHD without previous aGVHD. This study demonstrates that NCC GVHD type is associated with different graft-versus-tumor effects. Further studies are needed to investigate risk factors, pathogenesis, and biomarkers for each type of NCC GVHD.

BACKGROUND: The transcriptional cofactor, Hairless (HR), acts as one of the key regulators of hair follicle cycling; the loss of function mutations is the cause of the expression of the hairless phenotype in humans and mice. Recently, we reported a new Hr mutant mouse called 'Hairpoor' (Hr(Hp)). These mutants harbor a gain of the function mutation, T403A, in the Hr gene. This confers the overexpression of HR and Hr(Hp) is an animal model of Marie Unna hereditary hypotrichosis in humans. In the present study, the expression profile of Hr(Hp)/Hr(Hp) skin was investigated using microarray analysis to identify genes whose expression was affected by the overexpression of HR. RESULTS: From 45,282 mouse probes, differential expressions in 43 (>2-fold), 306 (>1.5-fold), and 1861 genes (>1.2-fold) in skin from Hr(Hp)/Hr(Hp) mice were discovered and compared with skin from wild-type mice. Among the 1861 genes with a > 1.2-fold increase in expression, further analysis showed that the expression of eight genes known to have a close relationship with hair follicle development, ascertained by conducting real-time PCR on skin RNA produced during hair follicle morphogenesis (P0-P14), indicated that four genes, Wif1, Casp14, Krt71, and Sfrp1, showed a consistent expression pattern with respect to HR overexpression in vivo. CONCLUSION: Wif1 and Casp14 were found to be upregulated, whereas Krt71 and Sfrp1 were downregulated in cells overexpressing HR in transient transfection experiments on keratinocytes, suggesting that HR may transcriptionally regulate these genes. Further studies are required to understand the mechanism of this regulation by the HR cofactor.

The higher incidence of liver disease in the Asian population raises a great concern to clinicians. To understand the gene functions involved in different stages of the disease, microarray expression data of histological progressive grades, starting from the dysplastic nodule in cirrhotic liver to hepatocellular carcinoma Edmonson grade III are analyzed. The statistical procedures are divided into two parts: First, microarray data are suitably normalized, including a method of analysis of variance (ANOVA). There are great differences of opinion regarding the currently used normalization methods. In order to proceed to the second part of statistical analyses of gene-pair associations, these normalization methods need first to be compared. Based on the assumption that a union set of significant genes from these normalization methods includes sufficiently general and well-defined, differentially expressed genes, one must carry out the second part of statistical analyses of searching for evidence of altered gene-gene relationships with progression of the disease. Significantly altered gene-pair associations are identified with the ratio of gene-pair correlations. The methods are illustrated with replicated microarray expression data.

We consider sample size determination for ordered categorical data when the alternative assumption is the proportional odds model. In this paper the sample size formula proposed by Whitehead (Statistics in Medicine, 12, 2257–2271, 1993) is compared with the methods based on exact and asymptotic linear rank tests with Wilcoxon and trend scores. We show that Whitehead's formula, which is based on a normal approximation, works well when the sample size is moderate to large but recommend the exact method with Wilcoxon scores for small sample sizes. The consequences of misspecification in models are also investigated.