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BackgroundAlpha-1 antitrypsin deficiency (AATD) is a genetic condition that causes early onset pulmonary emphysema and airways obstruction. The complete mechanisms via which AATD causes lung disease are not fully understood. To improve our understanding of the pathogenesis of AATD, we investigated gene expression profiles of bronchoalveolar lavage (BAL) and peripheral blood mononuclear cells (PBMCs) in AATD individuals.MethodsWe performed RNA-Seq on RNA extracted from matched BAL and PBMC samples isolated from 89 subjects enrolled in the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) study. Subjects were stratified by genotype and augmentation therapy. Supervised and unsupervised differential gene expression analyses were performed using Weighted Gene Co-expression Network Analysis (WGCNA) to identify gene profiles associated with subjects’ clinical variables. The genes in the most significant WGCNA module were used to cluster AATD individuals. Gene validation was performed by NanoString nCounter Gene Expression Assay.ResultWe observed modest effects of AATD genotype and augmentation therapy on gene expression. When WGCNA was applied to BAL transcriptome, one gene module, ME31 (2312 genes), correlated with the highest number of clinical variables and was functionally enriched with numerous immune T-lymphocyte related pathways. This gene module identified two distinct clusters of AATD individuals with different disease severity and distinct PBMC gene expression patterns.ConclusionsWe successfully identified novel clusters of AATD individuals where severity correlated with increased immune response independent of individuals’ genotype and augmentation therapy. These findings may suggest the presence of previously unrecognised disease endotypes in AATD that associate with T-lymphocyte immunity and disease severity.

Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA approval of WSI systems as class II medical devices. In response to new market forces and recent technology advances outside of pathology, a new field of computational pathology has emerged that applies artificial intelligence (AI) and machine learning algorithms to WSIs. Computational pathology has great potential for augmenting pathologists' accuracy and efficiency, but there are important concerns regarding trust of AI due to the opaque, black-box nature of most AI algorithms. In addition, there is a lack of consensus on how pathologists should incorporate computational pathology systems into their workflow. To address these concerns, building computational pathology systems with explainable AI (xAI) mechanisms is a powerful and transparent alternative to black-box AI models. xAI can reveal underlying causes for its decisions; this is intended to promote safety and reliability of AI for critical tasks such as pathology diagnosis. This article outlines xAI enabled applications in anatomic pathology workflow that improves efficiency and accuracy of the practice. In addition, we describe HistoMapr-Breast, an initial xAI enabled software application for breast core biopsies. HistoMapr-Breast automatically previews breast core WSIs and recognizes the regions of interest to rapidly present the key diagnostic areas in an interactive and explainable manner. We anticipate xAI will ultimately serve pathologists as an interactive computational guide for computer-assisted primary diagnosis.

Sarcoidosis is a multisystem granulomatous disease of unknown origin with a variable and often unpredictable course and pattern of organ involvement. In this study we sought to identify specific bronchoalveolar lavage (BAL) cell gene expression patterns indicative of distinct disease phenotypic traits.RNA sequencing by Ion Torrent Proton was performed on BAL cells obtained from 215 well characterized patients with pulmonary sarcoidosis enrolled in the multicenter Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) study. Weighted Gene Co-expression Network Analysis (WGCNA) and non-parametric statistics were used to analyze genome wide BAL transcriptome. Validation of results was performed using a microarray expression data set of an independent sarcoidosis cohort (Freiburg, Germany (n=50)).Our supervised analysis found associations between distinct transcriptional programs and major pulmonary phenotypic manifestations of sarcoidosis including; TH1 and TH17 pathways associated with hilar lymphadenopathy; TGFB1 and MTOR signaling with parenchymal involvement, and IL7 and IL2 with airway involvement. Our unsupervised analysis revealed gene modules that uncovered four potential sarcoidosis endotypes including hilar lymphadenopathy with increased acute T cell immune response; extraocular organ involvement with PI3K activation pathways; chronic and multiorgan disease with increased immune response pathways; and multiorgan with increased IL-1 and IL-18 immune and inflammatory responses. We validated the occurrence of these endotypes using gene expression, pulmonary function tests and cell differentials from Freiburg. Taken together our results identify BAL gene expression programs that characterize major pulmonary sarcoidosis phenotypes and suggest the presence of distinct disease molecular endotypes.Take home messageGenome wide BAL transcriptomics identified novel gene expression profiles associated with distinct phenotypic traits in sarcoidosis and is suggestive of the presence of novel molecular and clinical sarcoidosis endotypes that could help with further understanding of this heterogenous disease.

The burden and prognosis of malignant mesothelioma in the United States have remained largely unchanged for decades, with approximately 3200 new cases and 2400 deaths reported annually. To address care and research gaps contributing to poor outcomes, in March of 2019 the Mesothelioma Applied Research Foundation convened a workshop on the potential usefulness and feasibility of a national mesothelioma registry. The workshop included formal presentations by subject matter experts and a moderated group discussion. Workshop participants identified top priorities for a registry to be (a) connecting patients with high-quality care and clinical trials soon after diagnosis, and (b) making useful data and biospecimens available to researchers in a timely manner. Existing databases that capture mesothelioma cases are limited by factors such as delays in reporting, deidentification, and lack of exposure information critical to understanding as yet unrecognized causes of disease. National disease registries for amyotrophic lateral sclerosis (ALS) in the United States and for mesothelioma in other countries, provide examples of how a registry could be structured to meet the needs of patients and the scientific community. Small-scale pilot initiatives should be undertaken to validate methods for rapid case identification, develop procedures to facilitate patient access to guidelines-based standard care and investigational therapies, and explore approaches to data sharing with researchers. Ultimately, federal coordination and funding will be critical to the success of a National Mesothelioma Registry in improving mesothelioma outcomes and preventing future cases of this devastating disease.

DNA was obtained from matching micro-dissected, primary tumor cells, paired metastases, and peripheral blood mononuclear cells (germline) from patients with appendiceal mucinous neoplasms. We compared specimens from patient cohorts comprising low-grade adenomucinous neoplasm versus high-grade mucinous adenocarcinoma using a targeted, amplicon sequencing panel of 409 cancer related genes (Ion Torrent Comprehensive Cancer Panel, Thermo-Fisher, Waltham, MA). Copy number variants, single nucleotide variants and small insertions/deletions were identified using a multiplex algorithm pipeline (GATK, VarScan2, MuTect2, SIFT, SIFT-INDEL, PolyPhen-2, Provean). There were significantly more damaging variants in high-grade versus low-grade tumor cohorts. Both cohorts contained damaging, heterozygous germline variants (catenin β1; notch receptor 1 and 4) in pathways associated with cell-lineage specification (WNT, NOTCH). Damaging, somatic KRAS proto-oncogene, GTPase mutations were present in both cohorts, while somatic GNAS complex locus mutations were confined to low-grade neoplasms. Variants predominantly affected transcription factors, kinases, and stem cell signaling molecules in canonical pathways including epithelial to mesenchymal transition, stem cell pluripotency, p53, PTEN, and NF-қB signaling pathways. High-grade tumors demonstrated MYC proto-oncogene, bHLH transcription factor (MYC) and death domain associated protein (DAXX) amplification and damaging somatic variants in tumor protein p53 (TP53), likely to amplify an aggressive phenotype. Damaging APC, WNT signaling pathway regulator (APC) deletions were identified in metastatic tissue of both cohorts suggesting a role in invasive disease. Our data suggest that germline dysregulation of WNT and/or NOTCH pathways predisposes patients toward a secretory cell phenotype (i.e., goblet-like cells) upon acquisition of somatic KRAS mutations. Additional somatically acquired variants activating oncogenes MYC and DAXX and inhibiting the critical tumor suppressor, tumor protein TP53, were consistent with manifestation of a high-grade phenotype. These additional changes within the epithelial to mesenchymal transition signaling network (WNT, NOTCH, RAS/ERK/PI3K, PTEN, NF-қB), produce aggressive high-grade tumor characteristics by actively driving cells towards dedifferentiation, proliferation, and migration.

Simple Summary Internal organs like the heart and lungs, and body cavities like the thoracic and abdominal cavities, are covered by a thin, slippery layer called the mesothelium. Malignant pleural mesothelioma (MPM) is an aggressive cancer of the lining of the lung, where genetics and asbestos exposure play a role. It is not diagnosable until it becomes invasive, offering only a short survival time to the patient. To help understand the role of the genes that relate to this disease most of which are poorly understood, we constructed the ‘MPM interactome’, including in it the protein-protein interactions that we predicted computationally and those that are previously known in the literature. Five novel protein-protein interactions (PPIs) were tested and validated experimentally. 85.65% of the interactome is supported by genetic variant, transcriptomic, and proteomic evidence. Comparative transcriptome analysis revealed 5 repurposable drugs targeting the interactome proteins. We make the interactome available on a freely accessible web application, Wiki-MPM. Abstract Malignant pleural mesothelioma (MPM) is an aggressive cancer affecting the outer lining of the lung, with a median survival of less than one year. We constructed an ‘MPM interactome’ with over 300 computationally predicted protein-protein interactions (PPIs) and over 2400 known PPIs of 62 literature-curated genes whose activity affects MPM. Known PPIs of the 62 MPM associated genes were derived from Biological General Repository for Interaction Datasets (BioGRID) and Human Protein Reference Database (HPRD). Novel PPIs were predicted by applying the HiPPIP algorithm, which computes features of protein pairs such as cellular localization, molecular function, biological process membership, genomic location of the gene, and gene expression in microarray experiments, and classifies the pairwise features as interacting or non-interacting based on a random forest model. We validated five novel predicted PPIs experimentally. The interactome is significantly enriched with genes differentially ex-pressed in MPM tumors compared with normal pleura and with other thoracic tumors, genes whose high expression has been correlated with unfavorable prognosis in lung cancer, genes differentially expressed on crocidolite exposure, and exosome-derived proteins identified from malignant mesothelioma cell lines. 28 of the interactors of MPM proteins are targets of 147 U.S. Food and Drug Administration (FDA)-approved drugs. By comparing disease-associated versus drug-induced differential expression profiles, we identified five potentially repurposable drugs, namely cabazitaxel, primaquine, pyrimethamine, trimethoprim and gliclazide. Preclinical studies may be con-ducted in vitro to validate these computational results. Interactome analysis of disease-associated genes is a powerful approach with high translational impact. It shows how MPM-associated genes identified by various high throughput studies are functionally linked, leading to clinically translatable results such as repurposed drugs. The PPIs are made available on a webserver with interactive user interface, visualization and advanced search capabilities.

Growing numbers of artificial intelligence applications are being developed and applied to pathology and laboratory medicine. These technologies introduce risks and benefits that must be assessed and managed through the lens of ethics. This article describes how long-standing principles of medical and scientific ethics can be applied to artificial intelligence using examples from pathology and laboratory medicine.

Introduction/Background: Cancer registries in the US collect timely and systematic data on new cancer cases, extent of disease, staging, biomarker status, treatment, survival, and mortality of cancer cases. Existing methodologies for accessing local cancer registry data for research are time-consuming and often rely on the manual merging of data by staff registrars. In addition, existing registries do not provide direct access to these data nor do they routinely provide linkage to discrete electronic health record (EHR) data, reports, or imaging data. Automation of such linkage can provide an impressive data resource and make valuable data available for translational cancer research. Methods: The UPMC Network Cancer Registry collects highly structured, longitudinal data on all reportable cancer patients, from the point of the diagnosis throughout treatment and follow-up/outcomes. Using commercial registry software, we collect data in compliance with standards governed by the North American Association of Central Cancer Registries. This standardization ensures that the data are highly structured with standard coding and collection methods, which support data exchange among central cancer registries and the Centers for Disease Control and Prevention. Results: At the UPMC Hillman Cancer Center and University of Pittsburgh, we explored the feasibility of linking this well-curated, structured cancer registry data with unstructured text (i.e., pathology and radiology reports), using the Text Information Extraction System (TIES). We used the TIES platform to integrate breast cancer cases from the UPMC Network Cancer Registry system and then combine these data with other EHR data as a pilot use case that can be replicated for other cancers. Conclusions: As a result of this integration, we now have a single searchable repository of information for breast cancer patients from the UPMC registry, combined with their pathology and radiology reports. The system that we developed is easily scalable to other health systems and cancer centers.

Increased reactive species (RS; reactive oxygen and nitrogen species) are a byproduct of both enzymatic and non-enzymatic systems, and critical in cancer development, including breast tumorigenesis. To investigate the role of RS-related genes in breast cancer, expression levels of the most common annotated genes involved in regulating cellular RS levels and proteins that are substrates of RS in specific subtypes of breast cancer 9 were evaluated using public data bases. Based on the premise that increased RS promote tumor formation, and breast cancer subtypes vary in aggressiveness, we hypothesized that specific RS gene expression signatures are associated with breast cancer aggressiveness and patient survival. We identified a group of genes (GSTK1, PRDX2, PRDX3 and SLC36A1) that differentiate Luminal B tumors in two clusters and predict survival of patients with Luminal B breast cancers. Furthermore, network analyses of these four genes revealed an overlap of known LumB related pathways with those of RS-related signaling, which included regulation of M-phase and mitochondrial functions.

Context We define the scope and needs within the new discipline of computational pathology, a discipline critical to the future of both the practice of pathology and, more broadly, medical practice in general. Objective To define the scope and needs of computational pathology. Data Sources A meeting was convened in Boston, Massachusetts, in July 2014 prior to the annual Association of Pathology Chairs meeting, and it was attended by a variety of pathologists, including individuals highly invested in pathology informatics as well as chairs of pathology departments. Conclusions The meeting made recommendations to promote computational pathology, including clearly defining the field and articulating its value propositions; asserting that the value propositions for health care systems must include means to incorporate robust computational approaches to implement data-driven methods that aid in guiding individual and population health care; leveraging computational pathology as a center for data interpretation in modern health care systems; stating that realizing the value proposition will require working with institutional administrations, other departments, and pathology colleagues; declaring that a robust pipeline should be fostered that trains and develops future computational pathologists, for those with both pathology and nonpathology backgrounds; and deciding that computational pathology should serve as a hub for data-related research in health care systems. The dissemination of these recommendations to pathology and bioinformatics departments should help facilitate the development of computational pathology.

Background Breast cancer 1-associated protein 1 (BAP1) is a nuclear deubiquitinase that regulates gene expression, transcription, DNA repair, and more. Several findings underscore the apparent driver role of BAP1 in malignant mesothelioma (MM). However, the reported frequency of somatic BAP1 mutations in MM varies considerably, a discrepancy that appeared related to either methodological or ethnical differences across various studies. Methods To address this discrepancy, we carried out comprehensive genomic and immunohistochemical (IHC) analyses to detect somatic BAP1 gene alterations in 22 frozen MM biopsies from U.S. MM patients. Results By combining Sanger sequencing, multiplex ligation-dependent probe amplification, copy number analysis, and cDNA sequencing, we found alteration of BAP1 in 14 of 22 biopsies (63.6%). No changes in methylation were observed. IHC revealed normal nuclear BAP1 staining in the eight MM containing wild-type BAP1, whereas no nuclear staining was detected in the 14 MM biopsies containing tumor cells with mutated BAP1. Thus, IHC results were in agreement with those obtained by genomic analyses. We then extended IHC analysis to an independent cohort of 70 MM biopsies, of which there was insufficient material to perform molecular studies. IHC revealed loss of BAP1 nuclear staining in 47 of these 70 MM biopsies (67.1%). Conclusions Our findings conclusively establish BAP1 as the most commonly mutated gene in MM, regardless of ethnic background or other clinical characteristics. Our data point to IHC as the most accessible and reliable technique to detect BAP1 status in MM biopsies.

Introduction: We analyzed the transcriptome of bronchoalveolar lavage cells (BAL) in a large cohort of well characterized sarcoidosis subjects by RNA-sequencing to better understand disease progression and severity, and potentially identify novel molecular phenotypes. Methods: BAL was performed on subjects enrolled in the Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis study (GRADS) as described (Moller et al., Ann Am Thorac Soc, 2015 PMID: 26193069). cDNA libraries were prepared from 1ug of RNA and sequenced by Ion Torrent Proton Sequencer. Cufflinks calculated Fragments per Kilobase of exon per Million (FPKM) values. Non-parametric correlation methods and Metacore identified significant genes and pathways. Weighted gene co-expression network analysis (WGCNA) revealed correlation networks between gene expression and clinical traits. Multiple hypothesis testing was controlled at FDR Results: 199 samples from 24 stage I, 33 stage II-III treated, 40 stage II-III untreated, 17 stage IV treated, and 12 stage IV untreated subjects were available (53.2% females, 23.1% blacks). Correlation analysis revealed that 65 genes were increased with advanced Scadding stage and 24 were decreased (FDR Conclusion: RNA-sequencing of BAL in sarcoidosis patients identified novel genes associated with features of disease. Preliminary analysis suggests the presence of molecular disease endotypes.

The PaTH (University of Pittsburgh/UPMC, Penn State College of Medicine, Temple University Hospital, and Johns Hopkins University) clinical data research network initiative is a collaborative effort among four academic health centers in the Mid-Atlantic region. PaTH will provide robust infrastructure to conduct research, explore clinical outcomes, link with biospecimens, and improve methods for sharing and analyzing data across our diverse populations. Our disease foci are idiopathic pulmonary fibrosis, atrial fibrillation, and obesity. The four network sites have extensive experience in using data from electronic health records and have devised robust methods for patient outreach and recruitment. The network will adopt best practices by using the open-source data-sharing tool, Informatics for Integrating Biology and the Bedside (i2b2), at each site to enhance data sharing using centrally defined common data elements, and will use the Shared Health Research Information Network (SHRINE) for distributed queries across the network.

The National Mesothelioma Virtual Bank (NMVB) was established to provide annotated biospecimens to the mesothelioma research community. The resource provides tissue microarrays (TMA) to evaluate the biomarkers along with a variety of other resected mesothelioma specimens. In this manuscript, we describe the immunohistochemical evaluation of the mesothelioma TMA with three key antibodies that are used in making the diagnosis of mesothelioma, and compared the immunohistochemical assessment between manual scoring and image analysis. The TMA was assessed for the immunohistochemical expression of calretinin (N = 39), cytokeratin (CK) 5/6 (N = 33), and D2-40 (N = 37). Immunohistochemistry was evaluated by semi-quantitative (manual) scoring using light microscope (MS) and by automated image analysis (AS). Calretinin staining was seen in both cytoplasmic and nuclear locations. CK5/6 stain was localized to the cytoplasm. D2-40 stain showed only membranous expression in our cases. • Based on the pathologist's scores, calretinin was positive in 31 of the 39 cases (80%), CK 5/6 in 15 of the 33 cases (46%) and D2-40 in 18 of the 37 cases (49%). • The percent-positive agreement between manual scores and image analysis was 90% (35/39), 94% (31/33), and 95% (35/37) for calretinin, CK 5/6, and D2-40, respectively. There was a substantial agreement between manual and automated scores for calretinin (kappa = 0.614) and an almost perfect agreement for CK5/6 (kappa = 0.879) and D2-40 (kappa = 0.892). Our study confirms that the immunohistochemical staining pattern of mesotheliomas in the NMVB UPMC TMA is similar to other studies. Our findings also show that automated image analysis provides similar results to manual scoring by pathologists, and provides a reproducible, objective, and accurate platform for immunohistochemical assessment of biomarker expression.

Background: Malignant mesothelioma (MM) is a rare but deadly malignancy with about 3,000 new cases being diagnosed each year in the US. Very few studies have been performed to analyze factors associated with mesothelioma survival, especially for peritoneal presentation. The overarching aim of this study is to examine survival of the cohort of patients with malignant mesothelioma enrolled in the National Mesothelioma Virtual Bank (NMVB). Methods: 888 cases of pleural and peritoneal mesothelioma cases were selected from the NMVB database, which houses data and associated biospecimens for over 1400 cases that were diagnosed from 1990 to 2017. Kaplan Meier’s method was performed for survival analysis. The association between prognostic factors and survival was estimated using Cox Hazard Regression method and using R software for analysis. Results: The median overall survival (OS) rate of all MM patients, including pleural and peritoneal mesothelioma cases is 15 months (14 months for pleural and 31 months for peritoneal). Significant prognostic factors associated with improved survival of malignant mesothelioma cases in this NMVB cohort were younger than 45, female gender, epithelioid histological subtype, stage I, peritoneal occurrence, and having combination treatment of surgical therapy with chemotherapy. Combined surgical and chemotherapy treatment was associated with improved survival of 23 months in comparison to single line therapies. Conclusions: There has not been improvement in the overall survival for patients with malignant mesothelioma over many years with current available treatment options. Our findings show that combined surgical and chemotherapy treatment in peritoneal mesothelioma is associated with improved survival compared to local therapy alone.

A molecular test performed using fresh-frozen tissue was proposed for use in the prognosis of patients with pleural mesothelioma. The accuracy of the test and its properties was assessed under Clinical Laboratory Improvement Amendments–approved guidelines using FFPE tissue from an independent multicenter patient cohort. Concordance studies were performed using matched frozen and FFPE mesothelioma samples. The prognostic value of the test was evaluated in an independent validation cohort of 73 mesothelioma patients who underwent surgical resection. FFPE-based classification demonstrated overall high concordance (83%) with the matched frozen specimens, on removal of cases with low confidence scores, showing sensitivity and specificity in predicting type B classification (poor outcome) of 43% and 98%, respectively. Concordance between research and clinical methods increased to 87% on removal of low confidence cases. Median survival times in the validation cohort were 18 and 7 months in type A and type B cases, respectively (P = 0.002). Multivariate classification adding pathologic staging information to the gene expression score resulted in significant stratification of risk groups. The median survival times were 52 and 14 months in the low-risk (class 1) and intermediate-risk (class 2) groups, respectively. The prognostic molecular test for mesothelioma can be performed on FFPE tissues to predict survival, and can provide an orthogonal tool, in combination with established pathologic parameters, for risk evaluation.

BACKGROUND: Conflicting roles for Slit2, a protein involved in mediating the processes of cell migration and chemotactic response, have been previously described in prostate cancer. Here we use immunohistochemistry to evaluate the expression of Slit2 in normal donor prostate (NDP), benign prostatic hyperplasia (BPH), high-grade prostatic intraepithelial neoplasia (HGPIN), normal tissue adjacent to prostatic adenocarcinoma (NAC), primary prostatic adenocarcinoma (PCa), and metastatic prostatic adenocarcinoma (Mets). METHODS: Tissue microarrays were immunostained for Slit2. The staining intensities were quantified using automated image analysis software. The data was statistically analyzed using one-way analysis of variance with subsequent Tukey tests for multiple comparisons or a nonparametric equivalent. Eleven cases of NDP, 35 cases of NAC, 15 cases of BPH, 35 cases of HGPIN, 106 cases of PCa, and 37 cases of Mets were analyzed. RESULTS: Specimens of PCa and HGPIN had the highest absolute staining for Slit2. Significant differences were seen between PCa and NDP (P < .05), PCa and NAC (P < .05), HGPIN and NDP (P < .05), and HGPIN and NAC (P < .05). Whereas the average Mets staining was not significantly different from NDP or NAC, several individual Mets cases featured intense staining. CONCLUSIONS: To our knowledge, this represents the first study comparing the immunohistochemical profiles of Slit2 in PCa and Mets to specimens of HGPIN, BPH, NDP, and NAC. These findings suggest that Slit2 expression can be increased in HGPIN, PCa, and Mets, making it a potentially important biomarker for prostate cancer.

OBJECTIVE: The present study aimed to identify differentially expressed proteins employing a high resolution mass spectrometry (MS)-based proteomic analysis of endometrial cancer cells harvested using laser microdissection. METHODS: A differential MS-based proteomic analysis was conducted from discrete epithelial cell populations gathered by laser microdissection from 91 pathologically reviewed stage I endometrial cancer tissue samples (79 endometrioid and 12 serous) and 10 samples of normal endometrium from postmenopausal women. Hierarchical cluster analysis of protein abundance levels derived from a spectral count analysis revealed a number of proteins whose expression levels were common as well as unique to both histologic types. An independent set of endometrial cancer specimens from 394 patients were used to externally validate the differential expression of select proteins. RESULTS: 209 differentially expressed proteins were identified in a comparison of stage I endoimetrial cancers and normal post-menopausal endometrium controls (Q

Gynecologic cancers pose significant morbidity and mortality burden for US women. Endometrial cancer is the most common gynecologic malignancy in the US, while ovarian cancer is one of the deadliest. Since research funding for some of the gynecologic malignancies has been limited, novel research on the existing datasets needs to be harnessed to improve the health of the women affected by these conditions. We aim to evaluate if Text Information Extraction System (TIES) Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions, has capabilities for conducting research in the area of gynecologic cancers. TIES system provides effective tools for searching deidentified structured and unstructured data for gynecologic cancers with capabilities to explore pathology and radiology records. We used TIES system to identify records of patients with ovarian, endometrial, and cervical cancers. We used temporal search features to identify patients who developed ovarian tumors after being diagnosed with endometrial tumors. We examined records for completeness of information on diagnosis, age, and procedure year. We found that TIES system has 13,762 records for endometrial cancer, 7,692 records for ovarian cancer, and 10,826 records for cervical cancer for Pittsburgh site. 306 records have been identified for patients who had both ovarian and endometrial malignancies. Nearly 100% of the records had information on age of the patient, year of the procedure, and exact diagnosis. TIES is a promising tool for conducting research in the area of gynecologic malignancies, especially for rare diseases such as concurrent endometrial and ovarian cancers. Existing data repositories like TIES need to be further explored for novel research questions in the area of gynecologic cancer. Citation Format: Faina Y. Linkov, Melissa Schwenk, Michael Davis, Robert Edwards, Michael Becich. New directions in gynecologic cancer research utilizing Text Information Extraction System (TIES) Cancer Research Network. [abstract]. In: Proceedings of the AACR Conference: Addressing Critical Questions in Ovarian Cancer Research and Treatment; Oct 1-4, 2017; Pittsburgh, PA. Philadelphia (PA): AACR; Clin Cancer Res 2018;24(15_Suppl):Abstract nr B71.

Clinical and translational research increasingly requires computation. Projects may involve multiple computationally oriented groups including information technology (IT) professionals, computer scientists, and biomedical informaticians. However, many biomedical researchers are not aware of the distinctions among these complementary groups, leading to confusion, delays, and suboptimal results. Although written from the perspective of Clinical and Translational Science Award (CTSA) programs within academic medical centers, this article addresses issues that extend beyond clinical and translational research. The authors describe the complementary but distinct roles of operational IT, research IT, computer science, and biomedical informatics using a clinical data warehouse as a running example. In general, IT professionals focus on technology. The authors distinguish between two types of IT groups within academic medical centers: central or administrative IT (supporting the administrative computing needs of large organizations) and research IT (supporting the computing needs of researchers). Computer scientists focus on general issues of computation such as designing faster computers or more efficient algorithms, rather than specific applications. In contrast, informaticians are concerned with data, information, and knowledge. Biomedical informaticians draw on a variety of tools, including but not limited to computers, to solve information problems in health care and biomedicine. The paper concludes with recommendations regarding administrative structures that can help to maximize the benefit of computation to biomedical research within academic health centers.

We report on the development of an instrument to measure clinicians’ perceptions of their personal power in the workplace in relation to resistance to computerized physician order entry (CPOE). The instrument is based on French and Raven’s six bases of social power and uses a semantic differential methodology. A measurement study was conducted to determine the reliability and validity of the survey. The survey was administered online and distributed via a URL by email to 19 physicians, nurses, and health unit coordinators from a university hospital. Acceptable reliability was achieved by removing or moving some semantic differential word pairs used to represent the six power bases (alpha range from 0.76 to 0.89). The Semantic Differential Power Perception (SDPP) survey validity was tested against an already validated instrument and found to be acceptable (correlation range from 0.51 to 0.81). The SDPP survey instrument was determined to be both reliable and valid.

The last decade has seen significant advances in molecular biology (genomics and proteomics) and translational research. These new initiatives have resulted in a growing demand for specific, highly annotated human tissues and other biological specimens [1–3]. This growing demand has reinforced the importance of tissue banks as a major part of the necessary infrastructure of any institution/ research initiative seeking to address biologically and clinically relevant issues [4–6]. The NCI has an office dedicated to biospecimens [7] that has provided a document detailing best practices for repositories [8]. In addition, the International Society for Biologic and Environmental Repositories has also put together a “best practices” document incorporating suggestions from its members [9]. Similar initiatives have been undertaken in the US [10] and in the UK [11]. Finally there are variations of laws from state to state regarding the use of tissues and annotating data [12]. In addition, many of these research initiatives require extensive annotating information that is not present in one data source. Two areas particularly need annotating information. These are tissue-based research and health services based research, which requires patient information for research assessment. Health services research includes outcomes focused research, assessing impact of different therapeutic regimens, research focused on quality and safety of health care, research to evaluate quality assurance, quality control and errors, as well as research focused on impact of different information system on overall quality of health delivery, patient education and error reduction. The past few years have also seen a significant structured movement to protect the confidentiality of research study participants. Although the concept of an honest broker has been around for more than a decade, the advent of the Health and Insurance Portability and Accountability Act (HIPAA) [13] further emphasized the need for systems/ mechanisms to identify and remove personal health identifiers (PHI) from research information. It should be noted that HIPAA does not address research information except that it may become PHI if it is identified and in a covered entity. There are facility/institution-specific regulations mandating policies on patient confidentiality. The Institutional Review Board (IRB) also provides input and direction regarding policies and procedures impacting access to patient information. Finally institutions are also cognizant of prevailing views regarding legal and ethical issues. It is important to develop protocols to protect patient identifiers and confidentiality in the current environment. The need for data as well as the need for subject confidentiality protection resulted in a log jam blocking data aggregation and disbursement. This conflict exposed the lack of preparedness of major institutions to collect, collate and disburse data elements needed for projects while maintaining patient privacy. The result was that access to well documented tissue specimens, using normalized descriptors, became an important impediment to the progress of research projects [14]. The Cancer Registry and the Health Sciences Tissue Bank engaged in discussions to evaluate mechanisms for addressing this issue. The major players in the research field were identified. The Health Sciences Tissue Bank, the Pathology Laboratory Information System, the Cancer registry, the Clinical Research Informatics Service, the Clinical Outcomes group, Radiation and Medical Oncology, Pathology and Oncology Informatics and the “Electronic Medical Record” team were considered key players. This list might not encompass every possible entity that could play a role; nonetheless it captures the major players involved in the aggregation and provision of specimens and data. Policies and procedures were established to serve as guiding principles.

Objective To determine the minimal frequency of laboratory monitoring of 30 types of chronic medications or classes that are administered to nursing facility residents and are either listed under pharmacy services tag F329 (the tag for unnecessary medications), or have a narrow therapeutic index.

Background:In the USA, the lack of processes standardisation in histopathology laboratories leads to less than optimal quality, errors, inefficiency and increased costs. The effectiveness of large-scale quality improvement initiatives has been evaluated rarely.Aim:To measure the effect of implementation of a Lean quality improvement process on the efficiency and quality of a histopathology laboratory section.Methods:A non-concurrent interventional cohort study from 1 January 2003 to 31 December 2006 was performed, and the Lean process was implemented on 1 January 2004. Also compared was the productivity of the Lean histopathology section to a sister histopathology section that did not implement Lean processes. Pre- and post-Lean specimen turnaround time and productivity ratios (work units/full time equivalents) were measured. For 200 Lean interventions, a 5-part Likert scale was used to assess the impact on error, success and complexity.Results:In the Lean laboratory, the mean monthly productivity ratio increased from 3439 to 4074 work units/full time equivalents (pConclusion:It is concluded that Lean process implementation improved efficiency and quality in the histopathology section.

This report presents an overview for pathologists of the development and potential applications of a novel Web enabled system allowing indexing and retrieval of pathology specimens across multiple institutions. The system was developed through the National Cancer Institute's Shared Pathology Informatics Network program with the goal of creating a prototype system to find existing pathology specimens derived from routine surgical and autopsy procedures ("paraffin blocks") that may be relevant to cancer research. To reach this goal, a number of challenges needed to be met. A central aspect was the development of an informatics system that supported Web-based searching while retaining local control of data. Additional aspects included the development of an eXtensible Markup Language schema, representation of tissue specimen annotation, methods for deidentifying pathology reports, tools for autocoding critical data from these reports using the Unified Medical Language System, and hierarchies of confidentiality and consent that met or exceeded federal requirements. The prototype system supported Web-based querying of millions of pathology reports from 6 participating institutions across the country in a matter of seconds to minutes and the ability of bona fide researchers to identify and potentially to request specific paraffin blocks from the participating institutions. With the addition of associated clinical and outcome information, this system could vastly expand the pool of annotated tissues available for cancer research as well as other diseases.

Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cancer centers formed the Text Information Extraction System (TIES) Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions. Member sites can access pathology data that are de-identified and processed with the TIES natural language processing system, which creates a repository of rich phenotype data linked to clinical biospecimens. TIES incorporates multiple security and privacy best practices that, combined with legal agreements, network policies, and procedures, enable regulatory compliance. The TIES Cancer Research Network now provides integrated access to investigators at all member institutions, where multiple investigator-driven pilot projects are underway. Examples of federated search across the network illustrate the potential impact on translational research, particularly for studies involving rare cancers, rare phenotypes, and specific biologic behaviors. The network satisfies several key desiderata including local control of data and credentialing, inclusion of rich phenotype information, and applicability to diverse research objectives. The TIES Cancer Research Network presents a model for a national data and biospecimen network. Cancer Res; 75(24); 5194–201. ©2015 AACR.

Severe deficiency of alpha-1 antitrypsin has a highly variable clinical presentation. The Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis α1 Study is a prospective, multicenter, cross-sectional study of adults older than age 35 years with PiZZ or PiMZ alpha-1 antitrypsin genotypes. It is designed to better understand if microbial factors influence this heterogeneity. Clinical symptoms, pulmonary function testing, computed chest tomography, exercise capacity, and bronchoalveolar lavage (BAL) will be used to define chronic obstructive pulmonary disease (COPD) phenotypes that can be studied with an integrated systems biology approach that includes plasma proteomics; mouth, BAL, and stool microbiome and virome analysis; and blood microRNA and blood mononuclear cell RNA and DNA profiling. We will rely on global genome, transcriptome, proteome, and metabolome datasets. Matched cohorts of PiZZ participants on or off alpha-1 antitrypsin augmentation therapy, PiMZ participants not on augmentation therapy, and control participants from the Subpopulations and Intermediate Outcome Measures in COPD Study who match on FEV1 and age will be compared. In the primary analysis, we will determine if the PiZZ individuals on augmentation therapy have a difference in lower respiratory tract microbes identified compared with matched PiZZ individuals who are not on augmentation therapy. By characterizing the microbiome in alpha-1 antitrypsin deficiency (AATD), we hope to define new phenotypes of COPD that explain some of the diversity of clinical presentations. As a unique genetic cause of COPD, AATD may inform typical COPD pathogenesis, and better understanding of it may illuminate the complex interplay between environment and genetics. Although the biologic approaches are hypothesis generating, the results may lead to development of novel biomarkers, better understanding of COPD phenotypes, and development of novel diagnostic and therapeutic trials in AATD and COPD. Clinical trial registered with www.clinicaltrials.gov (NCT01832220).

Sarcoidosis is a systemic disease characterized by noncaseating granulomatous inflammation with tremendous clinical heterogeneity and uncertain pathobiology and lacking in clinically useful biomarkers. The Genomic Research in Alpha-1 Antitrypsin Deficiency and Sarcoidosis (GRADS) study is an observational cohort study designed to explore the role of the lung microbiome and genome in these two diseases. This article describes the design and rationale for the GRADS study sarcoidosis protocol. The study addresses the hypothesis that distinct patterns in the lung microbiome are characteristic of sarcoidosis phenotypes and are reflected in changes in systemic inflammatory responses as measured by peripheral blood changes in gene transcription. The goal is to enroll 400 participants, with a minimum of 35 in each of 9 clinical phenotype subgroups prioritized by their clinical relevance to understanding of the pathobiology and clinical heterogeneity of sarcoidosis. Participants with a confirmed diagnosis of sarcoidosis undergo a baseline visit with self-administered questionnaires, chest computed tomography, pulmonary function tests, and blood and urine testing. A research or clinical bronchoscopy with a research bronchoalveolar lavage will be performed to obtain samples for genomic and microbiome analyses. Comparisons will be made by blood genomic analysis and with clinical phenotypic variables. A 6-month follow-up visit is planned to assess each participant’s clinical course. By the use of an integrative approach to the analysis of the microbiome and genome in selected clinical phenotypes, the GRADS study is powerfully positioned to inform and direct studies on the pathobiology of sarcoidosis, identify diagnostic or prognostic biomarkers, and provide novel molecular phenotypes that could lead to improved personalized approaches to therapy for sarcoidosis.

SummaryMolecular profiling of cancer at the transcript level has become routine. Large-scale analysis of proteomic alterations during cancer progression has been a more daunting task. Here, we employed high-throughput immunoblotting in order to interrogate tissue extracts derived from prostate cancer. We identified 64 proteins that were altered in prostate cancer relative to benign prostate and 156 additional proteins that were altered in metastatic disease. An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed, revealing only 48%–64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors.

PURPOSE High rates of extracapsular tumor extension have been reported with biopsy perineural invasion (PNI), leading some to advocate routine resection of the ipsilateral neurovascular bundle (NVB) with radical retropubic prostatectomy (RRP) to assure negative surgical margins. The contemporary rates of extracapsular tumor extension (ECE) and margin status associated with biopsy PNI were investigated. MATERIALS AND METHODS The prostate needle biopsies, RRP specimens, and operative reports of 452 consecutive patients undergoing RRP by a single surgeon were reviewed to determine the presence of PNI invasion, presence of ECE, margin status, and preservation of NVB. Patients were excluded from the analysis if they underwent preoperative hormonal ablation or if their original biopsy was not reviewed by the pathologists at our institution. Both univariate and multivariate analyses were performed to determine the effect of PNI on extracapsular extension, the likelihood of performing a bilateral nerve-sparing technique, and the result of a positive surgical margin. RESULTS In the 402 evaluable cases, based on multivariate models PNI showed only a marginal association with positive surgical margin (+SM) (P = 0.10) and bilateral nerve-sparing (B-NS) (P = 0.07), but was significantly associated with organ confinement (P = 0.03). The odds ratio (OR) of PNI for +SM, although not statistically significant, was 0.36. Although showing a higher level of statistical significance, PNI for OC had an odds ratio of 0.50. Similarly, the odds ratio was 0.54 for B-NS. CONCLUSIONS Although biopsy PNI alone was associated with a higher probability of ECE, it is not predictive of bilateral nerve-sparing technique or a positive surgical margin in an individual patient. © 2004 Wiley-Liss, Inc.

Understanding the role of pathology informatics in patient safety entails an introduction to terminology and projects that have represented efforts to date in this area. The authors provide a short alphabetized introduction to several "buzzwords" and terms related to tools and processes that are used by health care research experts and workers involved in patient safety initiatives. The authors also include short descriptions of key health care research and patient safety projects that are relevant to pathology. They aim to highlight the areas where pathology informatics in all of its flavors (production systems provided by vendors as well as research and development efforts) can play a role in promoting patient safety.

Purpose: The Cooperative Prostate Cancer Tissue Resource (CPCTR) is a National Cancer Institute-supported tissue bank that provides large numbers of clinically annotated prostate cancer specimens to investigators. This communication describes the CPCTR to investigators interested in obtaining prostate cancer tissue samples. Experimental Design: The CPCTR, through its four participating institutions, has collected specimens and clinical data for prostate cancer cases diagnosed from 1989 onward. These specimens include paraffin blocks and frozen tissue from radical prostatectomy specimens and paraffin blocks from prostate needle biopsies. Standardized histopathological characterization and clinical data extraction are performed for all cases. Information on histopathology, demography (including ethnicity), laboratory data (prostate-specific antigen values), and clinical outcome related to prostate cancer are entered into the CPCTR database for all cases. Materials in the CPCTR are available in multiple tissue formats, including tissue microarray sections, paraffin-embedded tissue sections, serum, and frozen tissue specimens. These are available for research purposes following an application process that is described on the CPCTR web site (www.prostatetissues.org). Results: The CPCTR currently (as of October 2003) contains 5135 prostate cancer cases including 4723 radical prostatectomy cases. Frozen tissues, in some instances including patient serum samples, are available for 1226 cases. Biochemical recurrence data allow identification of cases with residual disease, cases with recurrence, and recurrence-free cases. Conclusions: The CPCTR offers large numbers of highly characterized prostate cancer tissue specimens, including tissue microarrays, with associated clinical data for biomarker studies. Interested investigators are encouraged to apply for use of this material (www.prostatetissues.org).

As academic pathology departments have become increasingly based in large, regional medical systems spread across hundreds of square miles, new methods are needed to tie these increasingly distributed departments together as integrated units. An important part of that integration is the ability to share academic and teaching conferences across long distances. In this article we present an effective, low-cost webcasting system that has evolved at the University of Pittsburgh Medical Center Department of Pathology over the past several years based on inexpensive, widely available software. To date, the system has broadcast and archived more than 400 conferences and currently serves approximately 80 to 100 requests each week. Important factors in the success of the program include the creation of a faculty steering committee to control resources and manage growth, the availability of informatics faculty and support for technical staff, and the decision to operate the service as part of the core information technology infrastructure of the department. Webcasting will likely become an even more important academic and operational tool in the future as more of the department's conferences, seminars, and even working meetings are communicated through the webcasting infrastructure.

Nitric oxide (NO) is an important signaling molecule for ischemia, inflammation, angiogenesis, immune response, and cell growth and differentiation. It has recently been shown that increased production of NO within various human cancers may contribute to tumor angiogenesis, tumor growth and metastasis, and tumor-related immune suppression. NO can be produced by several NO synthases (NOS), including inducible synthase (iNOS), which is expressed during cell activation and produces NO in larger quantity and for a longer period of time than non-inducible NOSs. In this study, we examined the expression levels of iNOS mRNA and protein in prostate adenocarcinoma using a paired nonneoplastic and neoplastic primary prostate cell culture system and related prostatectomy specimens. Six pairs of neoplastic and nonneoplastic primary prostate cell cultures were established from radical prostatectomy specimens based on homogeneity of the originating tumor and the nonneoplastic tissue. Radioactive reverse transcriptase polymerase chain reaction and subsequent quantitative analysis of iNOS mRNA were performed on the cultures using beta-actin as an internal control. Immunohistochemical studies with an anti-iNOS monoclonal antibody were performed on the corresponding formalin-fixed paraffin-embedded prostatectomy tissue sections. We observed marked patient-to-patient variation in "normal" levels of iNOS mRNA. However, all six neoplastic cultures showed moderately to markedly higher mRNA levels than did their paired nonneoplastic cultures. In addition, iNOS protein levels were significantly higher in paraffin-embedded prostate cancer tissue sections than in adjacent nonneoplastic tissue. Overexpression of iNOS mRNA and protein levels is present in moderately differentiated prostate adenocarcinoma and may contribute to prostate cancer angiogenesis, tumor growth, and tumor-related immunosuppression.

Prostate cancer is a biologically heterogeneous disease with considerable variation in clinical aggressiveness. The behavior of prostate cancer can be considered a direct or indirect result of aberrant alterations of gene expression in prostate epithelial cells. Identification of the patterns of gene-expression alterations that are related to the aggressiveness of prostate cancers will greatly assist the development of tools for early detection of prostate cancers with poor clinical outcome and identification of targets for future therapeutic intervention. To detect the patterns of gene-expression alterations of prostate cancers, we performed a comprehensive gene-expression analysis on 30 prostate tissues of various levels of invasiveness (ranging from those confined to the organ to distant metastases) and Gleason grades (combined scores 4-9), using the Affymetrix chip set Hu35k (A-D) and U95a. Following three sequential selection screens, we identified 84 largely novel genes and expressed sequence tag (EST) sequences whose expression levels were altered significantly in prostate cancer samples compared with control normal tissues. In addition, the expression levels of a group of 12 genes and EST sequences was found to be altered significantly in aggressive type of prostate cancers but not in organ-confined prostate cancers. Cluster analysis using the 84-gene list showed that the highly aggressive prostate cancers contained gene-expression patterns that were distinct from organ-confined prostate cancers.

The University of Pittsburgh's Department of Biomedical Informatics and Division of Pathology Informatics created a Science, Technology, Engineering, and Mathematics (STEM) pipeline in 2011 dedicated to providing cutting-edge informatics research and career preparatory experiences to a diverse group of highly motivated high-school students. In this third editorial installment describing the program, we provide a brief overview of the pipeline, report on achievements of the past scholars, and present results from self-reported assessments by the 2015 cohort of scholars. The pipeline continues to expand with the 2015 addition of the innovation internship, and the introduction of a program in 2016 aimed at offering first-time research experiences to undergraduates who are underrepresented in pathology and biomedical informatics. Achievements of program scholars include authorship of journal articles, symposium and summit presentations, and attendance at top 25 universities. All of our alumni matriculated into higher education and 90% remain in STEM majors. The 2015 high-school program had ten participating scholars who self-reported gains in confidence in their research abilities and understanding of what it means to be a scientist.

Prostate cancer is one of the leading causes of cancer-related deaths for men in the United States. Like other malignancies, prostate cancer is underscored by a variety of aberrant genetic alterations during its development. Although loss of heterozygosity or allelic loss is frequently identified among prostate cancers, few genes have been identified thus far as critical to the development of invasive prostate cancers. In this report, we used the recently developed technology, the “differential subtraction chain,” to perform a genome-wide search for sequences that are deleted in an aggressive prostate cancer. Among the deleted sequences, we found that one sequence was deleted in >50% of prostate cancers we tested. We mapped this sequence to chromosome 4q25 by screening the Genebridge 4 hamster radiation panel with primers specific to this probe, and subsequently identify a 54-kb minimal common deletion region that contains the sequence encoding myopodin. Sequence analysis indicates that myopodin shares significant homology with synaptopodin, a protein closely associated with podocyte and neuron differentiation. Further study shows that frequent complete or partial deletions of the myopodin gene occurred among invasive prostate cancer cases (25 of 31 cases, or 80%). Statistical analysis indicates that deletion of myopodin is highly correlated with the invasiveness of prostate cancers, and thus may hold promise as an important prognostic marker for prostate cancers.

Prostate-specific antigen (PSA) is the most widely used marker for the diagnosis of prostate cancer and is an independent predictor of prostatic capsular invasion. A number of studies have identified E-cadherin, a cell adhesion protein, as a potential invasion suppressor which is decreased in prostate adenocarcinoma. Our goal in the present study was to evaluate E-cadherin expression in primary cultures and determine the relationship between E-cadherin expression and PSA secretion in both primary cultures and the prostate tumor cell line, LNCaP. Immunohistochemical studies and Western blot analysis confirmed greater expression of E-cadherin in normal epithelial cells than tumor-derived prostate cells. This is the first report that the incubation of normal prostate epithelial cells with E-cadherin antibody increases the amount of PSA detected in the media of normal cells as well as in LNCaP. Since E-cadherin may function as an invasion suppressor, an understanding of the decreased expression of this adhesion factor and the impact on PSA secretion may aid in understanding epithelial tumorigenesis.

UV exposure and serum levels of vitamin D have been linked in several studies with prostate cancer risk. At the cellular level, the principal action of vitamin D is mediated though vitamin D receptors (VDR). Since prostate cancer is a disease strongly associated with age, we examined the presence of VDR in normal prostate from donors of various ages to determine if the VDR expression pattern changed with age. We also compared the VDR expression in the peripheral and central zones of the prostate to determine if the expression pattern varied by location. Immunohistochemical studies were performed on paraffin-embedded tissue from cases selected by the following age decades; 10-19, 20-29, 30-39, 40-49, 50-59, and 60-69. Both the central and peripheral zones were examined for VDR expression. The intensity of VDR expression in prostate was compared with expression in different types of human tissues. Mean VDR expression was lowest in the 10-19 years of age group. The intensity of the nuclear VDR was higher though the fifth decade, and then declined in cases of ages 60-70. When multiple sections of the same donor prostate were compared, VDR expression was greater in the peripheral zone compared to the central zone.

This article provides an overview of how functional genomics is likely to impact on the pathology laboratory and highlights how informatics and tissue banking will greatly facilitate the molecular age of medicine. Important aspects of functional genomics in the post-genome era, including the roles of laser capture microdissection, DNA- and complementary DNA-based microarrays, proteomic methods, collaborative human tissue banking, tissue microarrays, and pathobioinformatics in the modern pathology laboratory are discussed. The role of mass spectroscopy in the analysis of RNA, DNA, and protein and its impact on the clinical laboratory, particularly in cost-effectiveness and time savings, are evaluated. This article explores how laboratory information systems (LISs) and the devices that feed them information may need to be modified to adapt to greater volumes of data for the new testing modalities that require understanding sophisticated fluorescence detection methods and image processing. Emerging genomic testing methods and their impact on pathology laboratory testing, especially in the area of molecular classification of neoplasms, are examined. The role of the tissue bank in the modern pathology laboratory as an archive of control normal tissues, as well as subsamples of the spectrum of progressive neoplastic states, is discussed in light of its critical importance to the molecular classification of cancer. Establishing a database that combines structured reports in pathology LISs and construction of tissue banking information systems will provide a rich resource for pathology departments. The article discusses a hypothetical resource, such as the Shared Tumor Expression Profiler, that would provide access to well-characterized tissue-based research resources for clinicians and researchers. Last, the article emphasizes how LISs can prepare for these changes, and how training pathologists in pathology informatics and bioinformatics (pathobioinformatics) is critical to ensure pathology's overall leadership role in the post-genome era.

Objectives. Because epidemiologic evidence has demonstrated that vitamin D may play a role in the etiology of prostate cancer, we tested the inhibitory effect of the biologically active form of vitamin D (1,25-D) on the cell proliferation of human prostate epithelial and stromal cells in a chemically defined situation in the presence and absence of dihydrotestosterone (DHT). We also tested the effect of 1,25-D in castrated rats in the presence and absence of flutamide, an androgen receptor blocker. Methods. Prostate stromal and epithelial cells were isolated from freshly collected human prostatectomy specimens, and cell proliferation was measured with the MTT assay. Immunohistochemistry was performed to detect the presence of 1,25-D receptors, androgen receptors, smooth muscle actin, and E-cadherin. For in vivo analysis of 1,25-D, male Sprague-Dawley rats were castrated, then treated with either 1,25-D, 1,25-D with flutamide, or vehicle control. Results. Incubation of primary cultures of prostate epithelial cells with 1,25-D at a concentration of 10−8 M reduced cell proliferation by 40% of controls. The inhibition of growth by 1,25-D was maintained in the presence of DHT. Conversely, the effect of a similar dose of 1,25-D on stromal cell exposure was increased proliferation. In vivo, 1,25-D increased the prostatic weight of castrated rats that had serum testosterone levels below the detectable limit. The addition of flutamide did not alter this effect. Conclusions. These results confirm that vitamin D may be an effective antiproliferative agent of epithelial cells in prostate cancer therapy and support in vivo studies performed in the normal rat prostate.

Pathology informatics involves management and analysis of large complex data sets derived from various tests performed in clinical and anatomic pathology laboratories, annotated biorepositories, image analysis, telepathology, and large scale experiments, including gene expression analysis, proteomics, and tissue array studies. It facilitates intelligent use of computing technologies to improve patient care and understand the natural history of disease. Herein, we describe the various bioinformatics tools used to support translational research at the University of Pittsburgh Medical Center.

In October 1997, Dr. F.K. Mostofi assembled a group of individuals interested in bladder neoplasia at a meeting in Washington DC. The participants included urologic pathologists, urologists, urologic oncologists, and basic scientists with an interest in bladder neoplasia. The purpose of this meeting was to discuss bladder terminology and make recommendations to the World Health Organization (WHO) Committee on urothelial tumors. Following this meeting, a group of the urologic pathologists who attended the Washington meeting decided to broaden the representation of the group and arranged a meeting primarily of the members of the International Society of Urologic Pathologists (ISUP) at the 1998 United States and Canadian Academy of Pathology Meeting held in Boston. Massachusetts. At this meeting. issues regarding terminology of bladder lesions, primarily neoplastic and putative preneoplastic lesions, were discussed, resulting in a consensus statement. The WHO/ ISUP consensus classification arises from this consensus conference committee's recommendations to the WHO planning committee and their agreement with virtually all of the proposals presented herein. 29 The effort involved in reaching such a consensus was often considerable. Many of those involved in this process have compromised to arrive at a consensus. The aim was to develop a universally acceptable classification system for bladder neoplasia that could be used effectively by pathologists, urologists, and oncologists.

Purpose: Neoplastic transformation, including renal cell carcinoma (RCC), is always accompanied by changes in nuclear morphology. Nuclear grading of RCC is based on characteristic alterations in nuclear shape, size, area and other morphologic parameters. The nuclear matrix, which forms the skeleton of the nucleus, determines nuclear morphology. Alterations in nuclear matrix protein (NMP) composition specific to tissue and cancer type have been described in a variety of human cancers. We conducted a study to analyze the nuclear matrix protein composition of renal cell carcinoma and compare it to that of normal renal tissue and renal cell carcinoma cells grown in culture.Materials and Methods: We analyzed the nuclear matrix protein composition of RCC tumor tissue and that of normal kidney tissue obtained from seventeen patients undergoing radical nephrectomy for RCC. We also analyzed the NMP composition of two renal cancer cell lines (A-498 and 769-P).Results: We were able to identify five different...

Background: CD44, a major cell surface receptor for hyaluronic acid, is a family of ubiquitous cell surface glycoproteins. Altered levels of CD44 expression, seen in many epithelial neoplasms, have prognostic implications. Expression of standard and variant isoforms of CD44 was assessed in normal and neoplastic human prostate tissue and culture cells to evaluate as a marker for malignant transformation. Methods and Results: Expression of CD44s, CD44R, v5, v6, v7/8 and v10 was assessed in prostate tissue (benign and malignant) and cell lines (DU-145, PC-3, LNCaP, p69) and primary cultures of normal prostates and adenocarcinoma cells obtained from prostatectomies using reverse transcriptor polymerase chain reaction, Western blotting, and immunofluorescence. No CD44 expression was seen in LNCaP cells. p69, DU-145, and PC-3 cells expressed CD44s and CD44R. p69 cells demonstrated a 1000-bp-long form of CD44 mRNA, unique to this normal cell line. Both normal and neoplastic prostatic tissue demonstrated CD44s on Western blotting. Conclusions: In agreement with previous studies, prostatic adenocarcinoma cells, except LNCaP, expressed CD44s. Different patterns of CD44 expression were seen in benign and neoplastic prostate. Benign prostate exhibited higher v5 protein levels, whereas neoplastic prostates demonstrated higher CD44s expression. CD44s expression was identified in all neoplastic prostates as compared with only 50% of the benign prostates. No significant difference in expression of the other variants assessed (v6, v7, v7/8, and v10) was observed in the benign and neoplastic prostates.