Faculty Bibliography

The current substage classification of pT2 prostate cancer (AJCC, 7th edition, 2010) into pT2a (unilateral tumors <1/2 of lobe), pT2b (unilateral tumors >/=1/2 of lobe) and pT2c (bilateral tumors) is of questionable relevance. Many studies show no difference in prognosis between substages, and incidence of pT2b prostate cancer is low. Other classification systems have been proposed based on tumor volume, as measured by dominant nodule size or tumor percentage. We characterized pT2b tumors and assessed utility of current pT2 substaging in predicting biochemical recurrence-free survival after radical prostatectomy and compared with different substaging methods based on tumor volume. Patients with pT2 tumors were selected among patients who underwent radical prostatectomy from 1998 to 2008. Dominant nodule size was dichotomized as <1.6 cm vs. >/=1.6 cm. Tumor percentage was dichotomized as 25%. Kaplan-Meier analysis and multivariate Cox proportional hazard regression models were used to evaluate pathological parameters predictive of biochemical recurrence-free survival. 785 patients met criteria, of which 145 (18.5%) were pT2a, 15 (1.9%) were pT2b and 625 (79.6%) were pT2c. The pT2 substages were not significant predictors of biochemical recurrence-free survival on univariate or multivariate analysis. In a multivariate model, tumor percentage>25% (p=0.002) was associated with decreased biochemical recurrence-free survival. In patients with stage pT2 prostate cancer, the current substaging method lacks predictive value for biochemical recurrence-free survival after accounting for other pathologic and clinical predictors. However, tumor percentage (25%) is a promising approach to substaging of pT2 prostate cancer.

RATIONALE:Therapeutic agents for memory enhancement in psychiatric disorders, such as schizophrenia, are urgently needed. OBJECTIVE:The aim of this study is to characterize the preclinical profile of ITI-214, a potent inhibitor of phosphodiesterase 1 (PDE1). METHODS:ITI-214 was assayed for inhibition of PDE1 versus other PDE enzyme families using recombinant human PDE enzymes and for off-target binding to 70 substrates (General SEP II diversity panel; Caliper Life Sciences). Effects of ITI-214 (0.1-10 mg/kg, po) on memory performance were assayed in rats using the novel object recognition (NOR) paradigm, with drug given at specified time points prior to or following exposure to objects in an open field. ITI-214 was evaluated for potential drug-drug interaction with risperidone in rats using conditioned avoidance response (CAR) and pharmacokinetic assessments. RESULTS:ITI-214 inhibited PDE1A (K i = 33 pmol) with >1000-fold selectivity for the nearest other PDE family (PDE4D) and displayed minimal off-target binding interactions in a 70-substrate selectivity profile. By using specific timing of oral ITI-214 administration, it was demonstrated in the NOR that ITI-214 is able to enhance acquisition, consolidation, and retrieval memory processes. All memory effects were in the absence of effects on exploratory behavior. ITI-214 did not disrupt the risperidone pharmacokinetic profile or effects in CAR. CONCLUSIONS:ITI-214 improved the memory processes of acquisition, consolidation, and retrieval across a broad dose range (0.1-10 mg/kg, po) without disrupting the antipsychotic-like activity of a clinical antipsychotic medication, specifically risperidone. Clinical development of ITI-214 is currently in progress.

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open source terms or to credentialed users. The ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the U.S. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC) Layer, a set of ESMF-based component templates and interoperability conventions. This shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multi-agency development of coupled modeling systems, controlled experimentation and testing, and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NavGEM), HYbrid Coordinate Ocean Model (HYCOM), and Coupled Ocean Atmosphere Mesoscale Prediction System (COAMPS^®); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Community Earth System Model (CESM); and the NASA ModelE climate model and GEOS-5 atmospheric general circulation model.

TBLR1/TBL1XR1, a core component of the nuclear receptor corepressor (NCoR) complex critical for the regulation of multiple nuclear receptors, is a transcriptional coactivator of androgen receptor (AR) and functions as a tumor suppressor when expressed in the nucleus in prostate. Subcellular localization of a protein is critical for its function, and although TBLR1, as a transcriptional cofactor, has been primarily viewed as a nuclear protein, many cells also express variable levels of cytoplasmic TBLR1 and its cytoplasmic specific functions have not been studied. Prostate cancer (PCa) cells express moderately higher level of cytoplasmic TBLR1 compared to benign prostate cells. When comparing androgen-dependent (AD) to androgen-independent (AI) PCa, AI cells contain very high levels of TBLR1 cytoplasmic expression and low levels of nuclear expression. Overexpression of cytoplasmic TBLR1 in AD cells inhibits apoptosis induced by androgen deprivation therapy, either in an androgen free condition or in the presence of bicalutamide. Additionally, we identified a cytoplasmic specific isoform of TBLR1 (cvTBLR1) approximately 5 kDa lower in molecular weight, that is expressed at higher levels in AI PCa cells. By immunoprecipitation, we purified cvTBLR1 and using mass spectrometry analysis combined with N-terminal TMPP labeling and Edman degradation, we identified the cleavage site of cvTBLR1 at amino acid 89, truncating the first 88 amino acids of the N-terminus of the full length protein. Functionally, cvTBLR1 expressed in the cytoplasm reduced apoptosis in PCa cells and promoted growth, migration, and invasion. Finally, we identified a nuclear export signal sequence for TBLR1 cellular localization by deletion and site-directed mutagenesis. The roles of TBLR1 and cvTBLR1 provide novel insights into the mechanism of castration resistance and new strategies for PCa therapy.

Alpha-fetoprotein (AFP) producing gastric adenocarcinoma is considered as a rare subtype of gastric adenocarcinoma. Compared with AFP non-producing gastric adenocarcinoma, our study and other previous studies showed that AFP producing gastric adenocarcinoma is more aggressive and prone to liver metastasis. Using the Protein Pathway Array, 11 of out of 286 proteins tested were found to be differentially expressed between AFP producing (n=32) and AFP non-producing (n=45) gastric adenocarcinoma tissues. In addition, the high level expression of XIAP and IGF-Irbeta in gastric adenocarcinoma tissues was independent factors for poor prognosis in AFP producing gastric adenocarcinoma patients. A risk model based on the XIAP and IGF-Irbeta expression levels can separate AFP producing gastric adenocarcinoma patients into 2 subgroups and each subgroup had a distinct set of signaling pathways involved. In conclusion, AFP producing gastric adenocarcinoma is a heterogeneous cancer with different clinical outcomes, biological behaviors and underlying molecular alterations.

This review identifies 10 common errors and problems in the statistical analysis, design, interpretation, and reporting of obesity research and discuss how they can be avoided. The 10 topics are: 1) misinterpretation of statistical significance, 2) inappropriate testing against baseline values, 3) excessive and undisclosed multiple testing and "P-value hacking," 4) mishandling of clustering in cluster randomized trials, 5) misconceptions about nonparametric tests, 6) mishandling of missing data, 7) miscalculation of effect sizes, 8) ignoring regression to the mean, 9) ignoring confirmation bias, and 10) insufficient statistical reporting. It is hoped that discussion of these errors can improve the quality of obesity research by helping researchers to implement proper statistical practice and to know when to seek the help of a statistician.

BACKGROUND: The human papilloma virus (HPV) is a carcinogen known for its strong association with cervical cancers and cervical lesions. It is also known to be associated with a variety of squamous cell carcinomas in other areas, such as the penis, vulva, anus and head and neck. However, the association with urothelial carcinoma remains controversial. Here, we report a case of urothelial carcinoma with squamous differentiation associated with HPV-6/HPV-11. CASE PRESENTATION: This is a case of a 70 year old man who presented with nocturia and pressure during urination. During the TURP procedure for what was clinically thought to be benign prostate hyperplasia with pathologic diagnosis as prostate carcinoma, a 2 cm papillary mass was found in the distal penile urethra. The papillary mass was found to be a high grade urothelial carcinoma positive for GATA 3 expression, with focal areas of squamous differentiation. The areas with squamous differentiation demonstrated koilocytic differentiation, which were positive for strong p16 expression. The tumor was found to harbor low risk HPV 6/11 by in situ hybridization. CONCLUSIONS: This study case demonstrates HPV infection with a low risk subtype (HPV 6/11) associated with an urothelial carcinoma with squamous differentiation and condylomatous features.