A Single-resident Experience of Overnight Call Activity at a Multi-site Academic Health System.

OBJECTIVE: To characterize urology resident on-call activities overnight at a multi-site academic medical center and model the expected volume of clinical activity using inpatient beds, emergency room visits, and attendings covered. MATERIALS AND METHODS: On-call activities for 70 13-hour overnight shifts spanning 5 nonconsecutive months between May 2022 and February 2023 were recorded. Clinical coverage included 5 academic hospitals encompassing 1761 staffed inpatient beds and an expected nightly volume of 255 Emergency Department (ED) visits. The time, source, and clinical features of every call were documented. RESULTS: An average of 15 unique calls were received during each shift. Of these, 35% required an in-person evaluation and 12% required a bedside or operative procedure. Approximately a third of calls (36%) were received after midnight. An in-person evaluation occurred within the first hour of 53% of shifts and every shift required at least 1 evaluation. When normalized for inpatient bed volume, an average of 7 unique patient communications occurred per 1000 beds, leading to 2 in-person evaluations. When normalized for an expected number of overnight ED visits, an average of 1 new ED consultation occurred per 100 ED visits. CONCLUSION: After-hours clinical coverage models vary significantly by specialty and institution, and coverage decisions must balance quality clinical care with safe provider workload. Patient needs were appropriately addressed by a single overnight on-call resident, providing a robust clinical experience. The volume of patient care activities in this experience supports the practice of a "night-float" resident with the clear expectation on-site care is required.

Cortical brain organoid slices (cBOS) for the study of human neural cells in minimal networks.

Brain organoids derived from human pluripotent stem cells are a promising tool for studying human neurodevelopment and related disorders. Here, we generated long-term cultures of cortical brain organoid slices (cBOS) grown at the air-liquid interphase from regionalized cortical organoids. We show that cBOS host mature neurons and astrocytes organized in complex architecture. Whole-cell patch-clamp demonstrated subthreshold synaptic inputs and action potential firing of neurons. Spontaneous intracellular calcium signals turned into synchronous large-scale oscillations upon combined disinhibition of NMDA receptors and blocking of GABAA receptors. Brief metabolic inhibition to mimic transient energy restriction in the ischemic brain induced reversible intracellular calcium loading of cBOS. Moreover, metabolic inhibition induced a reversible decline in neuronal ATP as revealed by ATeam1.03YEMK. Overall, cBOS provide a powerful platform to assess morphological and functional aspects of human neural cells in intact minimal networks and to address the pathways that drive cellular damage during brain ischemia.

Moving Away from 12:12; the Effect of Different Photoperiods on Biomass Yield and Cannabinoids in Medicinal Cannabis.

The standard practice to initiate flowering in medicinal cannabis involves reducing the photoperiod from a long-day period to an equal duration cycle of 12 h light (12L)/12 h dark (12D). This method reflects the short-day flowering dependence of many cannabis varieties but may not be optimal for all. We sought to identify the effect of nine different flowering photoperiod treatments on the biomass yield and cannabinoid concentration of three medicinal cannabis varieties. The first, "Cannatonic", was a high cannabidiol (CBD)-accumulating line, whereas the other two, "Northern Lights" and "Hindu Kush", were high Δ9-tetrahydrocannabinol (THC) accumulators. The nine treatments tested, following 18 days under 18 h light/6 h dark following cloning and propagation included a standard 12L:12D period, a shortened period of 10L:14D, and a lengthened period of 14L:10D. The other six treatments started in one of the aforementioned and then 28 days later (mid-way through flowering) were switched to one of the other treatments, thus causing either an increase of 2 or 4 h, or a decrease of 2 or 4 h. Measured parameters included the timing of reproductive development; the dry weight flower yield; and the % dry weight of the main target cannabinoids, CBD and THC, from which the total g cannabinoid per plant was calculated. Flower biomass yields were highest for all lines when treatments started with 14L:10D; however, in the two THC lines, a static 14L:10D photoperiod caused a significant decline in THC concentration. Conversely, in Cannatonic, all treatments starting with 14L:10D led to a significant increase in the CBD concentration, which led to a 50-100% increase in total CBD yield. The results show that the assumption that a 12L:12D photoperiod is optimal for all lines is incorrect as, in some lines, yields can be greatly increased by a lengthened light period during flowering.

Association of Routine Preoperative Frailty Assessment With 1-Year Postoperative Mortality.

Importance: Patient frailty is a known risk factor for adverse outcomes following surgery, but data are limited regarding whether systemwide interventions related to frailty are associated with improved patient outcomes. Objective: To evaluate whether a frailty screening initiative (FSI) is associated with reduced late-term mortality after elective surgery. Design, Setting, and Participants: This quality improvement study with an interrupted time series analysis used data from a longitudinal cohort of patients in a multihospital, integrated health care system in the US. Beginning in July 2016, surgeons were incentivized to measure frailty with the Risk Analysis Index (RAI) for all patients considering elective surgery. Implementation of the BPA occurred in February 2018. The cutoff for data collection was May 31, 2019. Analyses were conducted between January and September 2022. Exposures: The exposure of interest was an Epic Best Practice Alert (BPA) used to identify patients with frailty (RAI ≥42) and prompt surgeons to document a frailty-informed shared decision-making process and consider additional evaluation by a multidisciplinary presurgical care clinic or the primary care physician. Main Outcomes and Measures: The primary outcome was 365-day mortality after the elective surgical procedure. Secondary outcomes included 30-day and 180-day mortality as well as the proportion of patients referred for additional evaluation based on documented frailty. Results: A total of 50 463 patients with at least 1 year of postsurgical follow-up (22 722 before intervention implementation and 27 741 after) were included (mean [SD] age, 56.7 [16.0] y; 57.6% women). Demographic characteristics, RAI score, and operative case mix, as defined by Operative Stress Score, were similar between time periods. After BPA implementation, the proportion of frail patients referred to a primary care physician and presurgical care clinic increased significantly (9.8% vs 24.6% and 1.3% vs 11.4%, respectively; both P < .001). Multivariable regression analysis demonstrated an 18% reduction in the odds of 1-year mortality (0.82; 95% CI, 0.72-0.92; P < .001). Interrupted time series models demonstrated a significant slope change in the rate of 365-day mortality from 0.12% in the preintervention period to -0.04% in the postintervention period. Among patients triggering the BPA, estimated 1-year mortality changed by -4.2% (95% CI, -6.0% to -2.4%). Conclusions and Relevance: This quality improvement study found that implementation of an RAI-based FSI was associated with increased referrals of frail patients for enhanced presurgical evaluation. These referrals translated to a survival advantage among frail patients of similar magnitude to those observed in a Veterans Affairs health care setting, providing further evidence for both the effectiveness and generalizability of FSIs incorporating the RAI.

Fusion Gene Detection in Prostate Cancer Samples Enhances the Prediction of Prostate Cancer Clinical Outcomes from Radical Prostatectomy through Machine Learning in a Multi-Institutional Analysis.

Prostate cancer remains one of the most fatal malignancies in men in the United States. Predicting the course of prostate cancer is challenging given that only a fraction of prostate cancer patients experience cancer recurrence after radical prostatectomy or radiation therapy. This study examined the expressions of 14 fusion genes in 607 prostate cancer samples from the University of Pittsburgh, Stanford University, and the University of Wisconsin-Madison. The profiling of 14 fusion genes was integrated with Gleason score of the primary prostate cancer and serum prostate-specific antigen level to develop machine-learning models to predict the recurrence of prostate cancer after radical prostatectomy. Machine-learning algorithms were developed by analysis of the data from the University of Pittsburgh cohort as a training set using the leave-one-out cross-validation method. These algorithms were then applied to the data set from the combined Stanford/Wisconsin cohort (testing set). The results showed that the addition of fusion gene profiling consistently improved the prediction accuracy rate of prostate cancer recurrence by Gleason score, serum prostate-specific antigen level, or a combination of both. These improvements occurred in both the training and testing cohorts and were corroborated by multiple models.

Administration of 3% Sodium Chloride and Local Infusion Reactions.

Three-percent sodium chloride (3% NaCl) is a hyperosmolar agent used to treat hyponatremic encephalopathy or other cases of increased intracranial pressure. A barrier to the use of 3% NaCl is the perceived risk of local infusion reactions when administered through a peripheral vein. We sought to evaluate reports of local infusion reactions associated with 3% NaCl over a 10-year period throughout a large healthcare system. A query was conducted through the Risk Master database to determine if there were any local infusion reactions associated with peripheral 3% NaCl administration throughout the entire UPMC health system, which consists of 40 hospitals with 8400 licensed beds, over a 10-year time period from 14 May 2010 to 14 May 2020. Search terms included infiltrations, extravasations, phlebitis, IV site issues, and IV solutions. There were 23,714 non-chemotherapeutic and non-contrast-associated intravenous events, of which 4678 (19.7%) were at UPMC Children's Hospital. A total of 2306 patients received 3% NaCl, of whom 836 (35.8%) were at UPMC Children's Hospital. There were no reported local infusion reactions with 3% NaCl. There were no reported local infusion reaction events associated with 3% NaCl in a large healthcare system over a 10-year period. This suggests that 3% NaCl can be safely administered through a peripheral IV or central venous catheter.

(+)-JJ-74-138 is a Novel Noncompetitive Androgen Receptor Antagonist.

Identification of novel androgen receptor (AR) antagonists may lead to urgently needed new treatments for patients with prostate cancer resistant to current AR antagonists. AR is presently the main target for treating prostate cancer. Clinically approved AR antagonists compete with dihydrotestosterone (DHT) for binding to the ligand-binding domain (LBD) of AR, and patients eventually develop resistance to these treatments. One approach to overcoming resistance is to discover compounds that inhibit AR in alternative ways. Our lab previously identified a small molecule, JJ-450, that is capable of inhibiting AR lacking LBD. To optimize the efficacy of this class of inhibitors, we developed structural analogues of JJ-450 and identified (+)-JJ-74-138 as a promising candidate. Here, we show that (+)-JJ-74-138 is more potent than JJ-450 in the inhibition of androgen-independent AR activity in enzalutamide-resistant LN95 cells. Further studies showed (+)-JJ-74-138 inhibition of castration-resistant PSA expression in all tested castration-resistant prostate cancer (CRPC) cells. (+)-JJ-74-138 inhibited mRNA expression of AR and ARv7 target genes and reduced AR level in the nucleus in the absence of androgens. Also, this analogue noncompetitively inhibited androgen-stimulated AR activity in C4-2, LN95, and 22Rv1 CRPC cells. At low dosages, (+)-JJ-74-138 inhibited the proliferation of enzalutamide-resistant AR-positive LN95 and 22Rv1 cells, but not AR-negative PC3 and DU145 cells. A surface plasmon resonance assay detected (+)-JJ-74-138 binding to AR and a chromatin immunoprecipitation assay indicated (+)-JJ-74-138 inhibited AR binding to androgen response elements. In addition, (+)-JJ-74-138 inhibited 22Rv1 xenograft tumor growth. Our observations suggest that (+)-JJ-74-138 is a novel noncompetitive AR antagonist capable of inhibiting enzalutamide-resistant CRPC.

Oncogenic Activity of Solute Carrier Family 45 Member 2 and Alpha-Methylacyl-Coenzyme A Racemase Gene Fusion Is Mediated by Mitogen-Activated Protein Kinase.

Chromosome rearrangement is one of the hallmarks of human malignancies. Gene fusion is one of the consequences of chromosome rearrangements. In this report, we show that gene fusion between solute carrier family 45 member 2 (SLC45A2) and alpha-methylacyl-coenzyme A racemase (AMACR) occurs in eight different types of human malignancies, with frequencies ranging from 45% to 97%. The chimeric protein is translocated to the lysosomal membrane and activates the extracellular signal-regulated kinase signaling cascade. The fusion protein promotes cell growth, accelerates migration, resists serum starvation-induced cell death, and is essential for cancer growth in mouse xenograft cancer models. Introduction of SLC45A2-AMACR into the mouse liver using a sleeping beauty transposon system and somatic knockout of phosphatase and TENsin homolog (Pten) generated spontaneous liver cancers within a short period. Conclusion: The gene fusion between SLC45A2 and AMACR may be a driving event for human liver cancer development.

Detection of fusion gene transcripts in the blood samples of prostate cancer patients.

Prostate cancer remains one of the most lethal cancers for men in the United States. The study aims to detect fusion transcripts in the blood samples of prostate cancer patients. We analyzed nine fusion transcripts including MAN2A1-FER, SLC45A2-AMACR, TRMT11-GRIK2, CCNH-C5orf30, mTOR-TP53BP1, KDM4-AC011523.2, TMEM135-CCDC67, LRRC59-FLJ60017 and Pten-NOLC1147 in the blood samples from 147 prostate cancer patients and 14 healthy individuals, using Taqman RT-PCR and Sanger's sequencing. Similar analyses were also performed on 25 matched prostate cancer samples for matched-sample evaluation. Eighty-two percent blood samples from the prostate cancer patients were positive for MAN2A1-FER transcript, while 41.5% and 38.8% blood samples from the prostate cancer patients were positive for SLC45A2-AMACR and Pten-NOLC1, respectively. CCNH-c5orf30 and mTOR-TP53BP1 had low detection rates, positive in only 5.4% and 4% of the blood samples from the prostate cancer patients. Only 2 blood samples were positive for KDM4B-AC011523.2 transcript. Overall, 89.8% patients were positive for at least one fusion transcript in their blood samples. The statistical analysis showed varied sensitivity of fusion transcript detection in the blood based on the types of fusions. In contrast, the blood samples from all healthy individuals were negative for the fusion transcripts. Detection of fusion transcripts in the blood samples of the prostate cancer patients may be a fast and cost-effective way to detect prostate cancer.

SafeNET: Initial development and validation of a real-time tool for predicting mortality risk at the time of hospital transfer to a higher level of care.

BACKGROUND: Processes for transferring patients to higher acuity facilities lack a standardized approach to prognostication, increasing the risk for low value care that imposes significant burdens on patients and their families with unclear benefits. We sought to develop a rapid and feasible tool for predicting mortality using variables readily available at the time of hospital transfer. METHODS AND FINDINGS: All work was carried out at a single, large, multi-hospital integrated healthcare system. We used a retrospective cohort for model development consisting of patients aged 18 years or older transferred into the healthcare system from another hospital, hospice, skilled nursing or other healthcare facility with an admission priority of direct emergency admit. The cohort was randomly divided into training and test sets to develop first a 54-variable, and then a 14-variable gradient boosting model to predict the primary outcome of all cause in-hospital mortality. Secondary outcomes included 30-day and 90-day mortality and transition to comfort measures only or hospice care. For model validation, we used a prospective cohort consisting of all patients transferred to a single, tertiary care hospital from one of the 3 referring hospitals, excluding patients transferred for myocardial infarction or maternal labor and delivery. Prospective validation was performed by using a web-based tool to calculate the risk of mortality at the time of transfer. Observed outcomes were compared to predicted outcomes to assess model performance. The development cohort included 20,985 patients with 1,937 (9.2%) in-hospital mortalities, 2,884 (13.7%) 30-day mortalities, and 3,899 (18.6%) 90-day mortalities. The 14-variable gradient boosting model effectively predicted in-hospital, 30-day and 90-day mortality (c = 0.903 [95% CI:0.891-0.916]), c = 0.877 [95% CI:0.864-0.890]), and c = 0.869 [95% CI:0.857-0.881], respectively). The tool was proven feasible and valid for bedside implementation in a prospective cohort of 679 sequentially transferred patients for whom the bedside nurse calculated a SafeNET score at the time of transfer, taking only 4-5 minutes per patient with discrimination consistent with the development sample for in-hospital, 30-day and 90-day mortality (c = 0.836 [95%CI: 0.751-0.921], 0.815 [95% CI: 0.730-0.900], and 0.794 [95% CI: 0.725-0.864], respectively). CONCLUSIONS: The SafeNET algorithm is feasible and valid for real-time, bedside mortality risk prediction at the time of hospital transfer. Work is ongoing to build pathways triggered by this score that direct needed resources to the patients at greatest risk of poor outcomes.

Regulation and targeting of androgen receptor nuclear localization in castration-resistant prostate cancer.

Nuclear localization of the androgen receptor (AR) is necessary for its activation as a transcription factor. Defining the mechanisms regulating AR nuclear localization in androgen-sensitive cells and how these mechanisms are dysregulated in castration-resistant prostate cancer (CRPC) cells is fundamentally important and clinically relevant. According to the classical model of AR intracellular trafficking, androgens induce AR nuclear import and androgen withdrawal causes AR nuclear export. The present study has led to an updated model that AR could be imported in the absence of androgens, ubiquitinated, and degraded in the nucleus. Androgen withdrawal caused nuclear AR degradation, but not export. In comparison with their parental androgen-sensitive LNCaP prostate cancer cells, castration-resistant C4-2 cells exhibited reduced nuclear AR polyubiquitination and increased nuclear AR level. We previously identified 3-(4-chlorophenyl)-6,7-dihydro-5H-pyrrolo[1,2-a]imidazole (CPPI) in a high-throughput screen for its inhibition of androgen-independent AR nuclear localization in CRPC cells. The current study shows that CPPI is a competitive AR antagonist capable of enhancing AR interaction with its E3 ligase MDM2 and degradation of AR in the nuclei of CRPC cells. Also, CPPI blocked androgen-independent AR nuclear import. Overall, these findings suggest the feasibility of targeting androgen-independent AR nuclear import and stabilization, two necessary steps leading to AR nuclear localization and activation in CRPC cells, with small molecule inhibitors.

Pten-NOLC1 fusion promotes cancers involving MET and EGFR signalings.

Inactivation of Pten gene through deletions and mutations leading to excessive pro-growth signaling pathway activations frequently occurs in cancers. Here, we report a Pten derived pro-cancer growth gene fusion Pten-NOLC1 originated from a chr10 genome rearrangement and identified through a transcriptome sequencing analysis of human cancers. Pten-NOLC1 fusion is present in primary human cancer samples and cancer cell lines from different organs. The product of Pten-NOLC1 is a nuclear protein that interacts and activates promoters of EGFR, c-MET, and their signaling molecules. Pten-NOLC1 promotes cancer proliferation, growth, invasion, and metastasis, and reduces the survival of animals xenografted with Pten-NOLC1-expressing cancer cells. Genomic disruption of Pten-NOLC1 induces cancer cell death, while genomic integration of this fusion gene into the liver coupled with somatic Pten deletion produces spontaneous liver cancers in mice. Our studies indicate that Pten-NOLC1 gene fusion is a driver for human cancers.

Clinical Utility of the Risk Analysis Index as a Prospective Frailty Screening Tool within a Multi-practice, Multi-hospital Integrated Healthcare System.

OBJECTIVE: The goal of this project was to first address barriers to implementation of the Risk Analysis Index (RAI) within a large, multi-hospital, integrated healthcare delivery system, and to subsequently demonstrate its utility for identifying at-risk surgical patients. BACKGROUND: Prior studies demonstrate the validity of the RAI for evaluating preoperative frailty, but they have not demonstrated the feasibility of its implementation within routine clinical practice. METHODS: Implementation of the RAI as a frailty screening instrument began as a quality improvement initiative at the University of Pittsburgh Medical Center in July 2016. RAI scores were collected within a REDCap survey instrument integrated into the outpatient electronic health record and then linked to information from additional clinical datasets. NSQIP-eligible procedures were queried within 90 days following the RAI, and the association between RAI and postoperative mortality was evaluated using logistic regression and Cox proportional hazards models. Secondary outcomes such as inpatient length of stay and readmissions were also assessed. RESULTS: RAI assessments were completed on 36,261 unique patients presenting to surgical clinics across five hospitals from July 1 to December 31, 2016, and 8,172 of these underwent NSQIP-eligible surgical procedures. The mean RAI score was 23.6 (SD 11.2), the overall 30-day and 180-day mortality after surgery was 0.7% and 2.6%, respectively, and the median time required to collect the RAI was 33 [IQR 23-53] seconds. Overall clinic compliance with the recommendation for RAI assessment increased from 58% in the first month of the study period to 84% in the sixth and final month. RAI score was significantly associated with risk of death (HR=1.099 [95% C.I.: 1.091 - 1.106], p < 0.001). At an RAI cutoff of ≥37, the positive predictive values for 30- and 90-day readmission were 14.8% and 26.2%, respectively, and negative predictive values were 91.6% and 86.4%, respectively. CONCLUSIONS: The RAI frailty screening tool can be efficiently implemented within multi-specialty, multi-hospital healthcare systems. In the context of our findings and given the value of the RAI in predicting adverse postoperative outcomes, health systems should consider implementing frailty screening within surgical clinics.

Environment and pathogens shape local and regional adaptations to climate change in the chocolate tree, Theobroma cacao L.

Predicting the potential fate of a species in the face of climate change requires knowing the distribution of molecular adaptations across the geographic range of the species. In this work, we analysed 79 genomes of Theobroma cacao, an Amazonian tree known for the fruit from which chocolate is produced, to evaluate how local and regional molecular signatures of adaptation are distributed across the natural range of the species. We implemented novel techniques that incorporate summary statistics from multiple selection scans to infer selective sweeps. The majority of the molecular adaptations in the genome are not shared among populations. We show that ~71.5% of genes under selection also show significant associations with changes in environmental variables. Our results support the interpretation that these genes contribute to local adaptation of the populations in response to abiotic factors. We also found strong patterns of molecular adaptation in a diverse array of disease resistance genes (6.5% of selective sweeps), suggesting that differential adaptation to pathogens also contributes significantly to local adaptations. Our results are consistent with the interpretation that local selective pressures are more important than regional selective pressures in explaining adaptation across the range of a species.

Rotavirus induces intercellular calcium waves through ADP signaling.

Rotavirus causes severe diarrheal disease in children by broadly dysregulating intestinal homeostasis. However, the underlying mechanism(s) of rotavirus-induced dysregulation remains unclear. We found that rotavirus-infected cells produce paracrine signals that manifested as intercellular calcium waves (ICWs), observed in cell lines and human intestinal enteroids. Rotavirus ICWs were caused by the release of extracellular adenosine 5'-diphosphate (ADP) that activated P2Y1 purinergic receptors on neighboring cells. ICWs were blocked by P2Y1 antagonists or CRISPR-Cas9 knockout of the P2Y1 receptor. Blocking the ADP signal reduced rotavirus replication, inhibited rotavirus-induced serotonin release and fluid secretion, and reduced diarrhea severity in neonatal mice. Thus, rotavirus exploited paracrine purinergic signaling to generate ICWs that amplified the dysregulation of host cells and altered gastrointestinal physiology to cause diarrhea.

Validation of the Risk Analysis Index for Evaluating Frailty in Ambulatory Patients.

BACKGROUND: Frailty is a marker of dependency, disability, hospitalization, and mortality in community-dwelling older adults. However, existing tools for measuring frailty are too cumbersome for rapid point-of-care assessment. The Risk Analysis Index (RAI) of frailty is validated in surgical populations, but its performance outside surgical populations is unknown. OBJECTIVE: Validate the RAI in ambulatory patients. DESIGN, SETTING, AND PARTICIPANTS: Observational cohort study of outpatient surgical clinics within the University of Pittsburgh Medical Center Healthcare System between July 1, 2016, and December 31, 2016. Frailty was assessed using the RAI. Current Procedural Terminology codes following RAI assessment identified patients with and without minor office-based procedures (eg, joint injection, laryngoscopy). MAIN OUTCOMES AND MEASURES: All-cause 1-year mortality, assessed by stratified Cox proportional hazard models. RESULTS: Of 28,059 patients, 13,861 were matched to a minor, office-based procedure and 14,198 did not undergo any procedure. The mean (SD) age was 56.7 (17.2) years; women constituted 15,797 (56.3%) of the cohort. Median time (interquartile range 25th-75th percentile) to measure RAI was 30 (22-47) seconds. Mortality among the frail was two to five times that of patients with normal RAI scores. For example, the hazard ratio for frail ambulatory patients without a minor procedure was 3.69 (95% confidence interval [CI] = 2.51-5.41), corresponding to 30-, 180-, and 365-day mortality rates of 2.9%, 11.2%, and 17.4%, respectively, compared to 0.3%, 2.3%, and 4.0% among patients with normal RAI scores. Discrimination of mortality (overall, and censored at 30, 180, and 365 days) was excellent, ranging from c = 0.838 (95% CI = 0.773-0.902) for 30-day mortality after minor procedures to c = 0.909 (95% CI = 0.855-0.964) without a procedure. CONCLUSION: RAI is a valid, easily administered tool for point-of-care frailty assessment in ambulatory populations that may help clinicians and patients make better informed decisions about care choices-especially among patients considered high risk with a potentially limited life span. J Am Geriatr Soc 68:1818-1824, 2020.

Notch-mediated lateral induction is necessary to maintain vestibular prosensory identity during inner ear development.

The five vestibular organs of the inner ear derive from patches of prosensory cells that express the transcription factor SOX2 and the Notch ligand JAG1. Previous work suggests that JAG1-mediated Notch signaling is both necessary and sufficient for prosensory formation and that the separation of developing prosensory patches is regulated by LMX1a, which antagonizes Notch signaling. We used an inner ear-specific deletion of the Rbpjκ gene in which Notch signaling is progressively lost from the inner ear to show that Notch signaling, is continuously required for the maintenance of prosensory fate. Loss of Notch signaling in prosensory patches causes them to shrink and ultimately disappear. We show this loss of prosensory fate is not due to cell death, but rather to the conversion of prosensory tissue into non-sensory tissue that expresses LMX1a. Notch signaling is therefore likely to stabilize, rather than induce prosensory fate.

Transforming growth factor beta 1 impairs benign prostatic luminal epithelial cell monolayer barrier function.

Our recent studies identifying the presence of luminal secretory protein PSA in the stroma, decreased E-cadherin expression, and reduced number of tight junction kiss points in benign prostatic hyperplasia (BPH) tissues suggest that epithelial barrier permeability is increased in BPH. However, the cause of increased epithelial permeability in BPH is unclear. Transforming growth factor beta 1 (TGF-ß1) has been reported to be up-regulated in clinical BPH specimens and TGF-ß1 overexpression induced fibrosis and inflammation in a murine model. TGF-ß1 was reported to repress the expression of E-cadherin in benign prostatic cells. However, whether and how TGF-ß1 up-regulation affects epithelial barrier permeability is unknown. Here, in vitro benign prostatic epithelial cell lines BHPrE1 and BPH-1 were utilized to determine the impact of TGF-ß1 treatment on epithelial barrier, tight junctions, and expression of E-cadherin and claudin 1 by transepithelial electrical resistance (TEER) measurement, FITC-dextran trans-well diffusion assays, qPCR, as well as transmission electron microscopy (TEM) observation. Laser capture micro-dissection (LCM) combined with reverse transcription-polymerase chain reaction (qPCR) were utilized to determine the expression of E-cadherin and claudin 1 in BPH patient specimens. TGF-ß1 treatment decreased TEER, increased FITC-dextran diffusion, and reduced the mRNA expression of junction protein claudin 1 in cultured cell monolayers. Claudin 1 mRNA but not E-cadherin mRNA was down-regulated in the luminal epithelial cells in BPH nodules compared to normal prostate tissues. Our studies suggest that TGF-ß1 could increase the permeability through decreasing the expression of claudin 1 and inhibiting the formation of tight junctions in BHPrE1 and BPH-1 monolayers. These results suggest that TGF-ß1 might play an important role in BPH pathogenesis through increasing the permeability of luminal epithelial barrier in the prostate.

EAF2 loss induces prostatic intraepithelial neoplasia from luminal epithelial cells in mice.

Defining the cell of origin for prostatic carcinogenesis is fundamentally important for understanding the mechanisms leading to prostate cancer. Lineage tracing studies have demonstrated that luminal epithelial cells are capable of self-replication in multiple organs, including the adult murine prostate, and cell of prostate cancer origin studies have shown that while both the luminal and basal murine prostate epithelial cells are capable of neoplastic transformation, luminal cells are more efficient as the origin of prostate cancer. ELL-associated factor 2 (EAF2) is an androgen responsive tumor suppressive protein expressed by prostate luminal epithelial cells that is frequently down-regulated in primary prostate tumors. EAF2 knockdown induces prostate cancer cell proliferation and invasion in vitro and mice with Eaf2 deficiency develop epithelial hyperplasia and murine prostatic intraepithelial neoplasia (mPIN) lesions. Here, we utilized an Eaf2 knockout, PSA-CreERT2 transgenic model crossed with a fluorescent reporter line to show that Eaf2 deficiency induces mPIN lesions derived from the luminal cell lineage. These results suggest that PIN lesions in the Eaf2 knockout mouse were derived from prostate luminal epithelial cells, further suggesting that the prostatic luminal epithelial cell is the major origin of prostate carcinogenesis.

The Development and Validation of Prostate Cancer-specific Physician-Hospital Networks.

OBJECTIVE: To develop prostate cancer-specific physician-hospital networks to define hospital-based units that more accurately group hospitals, providers, and the patients they serve. METHODS: Using Surveillance, Epidemiology, and End Results-Medicare, we identified men diagnosed with localized prostate cancer between 2007 and 2011. We created physician-hospital networks by assigning each patient to a physician and each physician to a hospital based on treatment patterns. We assessed content validity by examining characteristics of hospitals anchoring the physician-hospital networks and of the patients associated with these hospitals. RESULTS: We identified 42,963 patients associated with 344 physician-hospital networks. Networks anchored by a teaching hospital (compared to a nonteaching hospital) had higher median numbers of prostate cancer patients (117 [interquartile range {71-189} vs 82 {50-126}]) and treating physicians (7 [4-11] vs 4 [3-6]) (both P <0.001). On average, patients traveled farther to networks anchored by a teaching hospital (49 miles [standard deviation] [207] vs 41 [183]; P <.001). Hospitals known as high-volume centers for robotic prostatectomies, proton-beam therapy, and active surveillance had network rates for these procedures well above the mean. Hospitals known as safety net providers served higher proportions of minorities. CONCLUSION: We empirically developed prostate-cancer specific physician-hospital networks that exhibit content validity and are relevant from a clinical and policy perspective. They have the potential to become targets for policy interventions focused on improving the delivery of prostate cancer care.