Amy P.N. Skubitz

Differential Gene Expression in Ovarian Carcinoma : Identification of Potential Biomarkers

Ovarian cancer remains the fifth leading cause of cancer death for women in the United States. In this study, the gene expression of 20 ovarian carcinomas, 17 ovarian carcinomas metastatic to the omentum, and 50 normal ovaries was determined by Gene Logic Inc. using Affymetrix GeneChip HU_95 arrays containing approximately 12,000 known genes. Differences in gene expression were quantified as fold changes in gene expression in ovarian carcinomas compared to normal ovaries and ovarian carcinoma metastases. Genes up-regulated in ovarian carcinoma tissue samples compared to more than 300 other normal and diseased tissue samples were identified. Seven genes were selected for further screening by immunohistochemistry to determine the presence and localization of the proteins. These seven genes were: the beta8 integrin subunit, bone morphogenetic protein-7, claudin-4, collagen type IX alpha2, cellular retinoic acid binding protein-1, forkhead box J1, and S100 calcium-binding protein A1. Statistical analyses showed that the beta8 integrin subunit, claudin-4, and S100A1 provided the best distinction between ovarian carcinoma and normal ovary tissues, and may serve as the best candidate tumor markers among the seven genes studied. These results suggest that further exploration into other up-regulated genes may identify novel diagnostic, therapeutic, and/or prognostic biomarkers in ovarian carcinoma.

CD44 and β1 Integrin Mediate Ovarian Carcinoma Cell Adhesion to Peritoneal Mesothelial Cells

Epithelial cancer of the ovary spreads by implantation of tumor cells onto the mesothelial cells lining the peritoneal cavity. The aim of this study was to identify the adhesion molecules involved in the interaction of ovarian carcinoma cells with mesothelial cells. The human ovarian carcinoma cell lines SKOV3 and NIH:OVCAR5 as well as LP9 cells, a human peritoneal mesothelial cell line, were analyzed by flow cytometry for the expression of CD44 and the β1 integrin subunit. An in vitro adhesion assay was developed whereby LP9 cells were grown as confluent monolayers, and radiolabeled ovarian carcinoma cells were monitored for their ability to adhere to the mesothelial monolayer in the presence of potential inhibitors. Each cell line was evaluated for the presence of a pericellular matrix by a particle exclusion assay. A monoclonal antibody (MAb) against the β1 integrin subunit significantly reduced the adhesion of SKOV3 cells to LP9 cells, whereas NIH:OVCAR5 adhesion to LP9 cells was significantly inhibited by a CD44 MAb. The LP9 cells produced both hyaluronic acid (a ligand for CD44) as well as several extracellular matrix molecules (ligands for the β1 integrin heterodimers). These results suggest that both CD44 and the β1 integrin heterodimers may play a role in mediating the adhesion of ovarian carcinoma cells to mesothelial cells.

Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring

AbstractImmunohistochemical (IHC) assays performed on formalin-fixed paraffin-embedded (FFPE) tissue sections traditionally have been semi-quantified by pathologist visual scoring of staining. IHC is useful for validating biomarkers discovered through genomics methods as large clinical repositories of FFPE specimens support the construction of tissue microarrays (TMAs) for high throughput studies. Due to the ubiquitous availability of IHC techniques in clinical laboratories, validated IHC biomarkers may be translated readily into clinical use. However, the method of pathologist semi-quantification is costly, inherently subjective, and produces ordinal rather than continuous variable data. Computer-aided analysis of digitized whole slide images may overcome these limitations. Using TMAs representing 215 ovarian serous carcinoma specimens stained for S100A1, we assessed the degree to which data obtained using computer-aided methods correlated with data obtained by pathologist visual scoring. To evaluate computer-aided image classification, IHC staining within pathologist annotated and software-classified areas of carcinoma were compared for each case. Two metrics for IHC staining were used: the percentage of carcinoma with S100A1 staining (%Pos), and the product of the staining intensity (optical density [OD] of staining) multiplied by the percentage of carcinoma with S100A1 staining (OD*%Pos). A comparison of the IHC staining data obtained from manual annotations and software-derived annotations showed strong agreement, indicating that software efficiently classifies carcinomatous areas within IHC slide images. Comparisons of IHC intensity data derived using pixel analysis software versus pathologist visual scoring demonstrated high Spearman correlations of 0.88 for %Pos (p < 0.0001) and 0.90 for OD*%Pos (p < 0.0001). This study demonstrated that computer-aided methods to classify image areas of interest (e.g., carcinomatous areas of tissue specimens) and quantify IHC staining intensity within those areas can produce highly similar data to visual evaluation by a pathologist.Virtual slidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1649068103671302

β1-Integrins Regulate the Formation and Adhesion of Ovarian Carcinoma Multicellular Spheroids

Ovarian carcinoma multicellular spheroids are an in vitro model of micrometastasis whose adhesive abilities have not been elucidated. In this study, we identified adhesion molecules that mediate the formation of ovarian carcinoma spheroids and their subsequent adhesion to extracellular matrix proteins. The NIH:OVCAR5, but not the SKOV3, ovarian carcinoma cell line formed spheroids similar to multicellular aggregates isolated from patient ascitic fluid. NIH:OVCAR5 spheroid formation was augmented by a beta 1-integrin-stimulating monoclonal antibody or exogenous fibronectin, but was inhibited by blocking monoclonal antibodies against the alpha 5- or beta 1-integrin subunits. By immunohistochemical staining, alpha 2-, alpha 3-, alpha 5-, alpha 6-, and beta 1-integrin subunits, CD44, and fibronectin were detected in NIH:OVCAR5 spheroids. NIH:OVCAR5 spheroids adhered to fibronectin, laminin, and type IV collagen, and this adhesion was partially inhibited by blocking antibodies against the alpha 5-, alpha 6-, and alpha 2-integrin subunits, respectively. A blocking monoclonal antibody against the beta 1-integrin subunit completely inhibited adhesion of the spheroids to all three proteins. These results suggest that interactions between the alpha 5 beta 1-integrin and fibronectin mediate the formation of ovarian carcinoma spheroids and that their adhesion to extracellular matrix proteins at sites of secondary tumor growth may be mediated by a complex interaction between multiple integrins and their ligands.

Standard Preanalytical Coding for Biospecimens: Defining the Sample PREanalytical Code

Background: Management and traceability of biospecimen preanalytical variations are necessary to provide effective and efficient interconnectivity and interoperability between Biobanks. Methods: Therefore, the International Society for Biological and Environmental Repositories Biospecimen Science Working Group developed a “Standard PREanalytical Code” (SPREC) that identifies the main preanalytical factors of clinical fluid and solid biospecimens and their simple derivatives. Results: The SPREC is easy to implement and can be integrated into Biobank quality management systems and databases. It can also be extended to nonhuman biorepository areas. Its flexibility allows integration of new novel technological developments in future versions. SPREC version 01 is presented in this article. Conclusions and Impact: Implementation of the SPREC is expected to facilitate and consolidate international multicenter biomarker identification research and biospecimen research in the clinical Biobank environment. Cancer Epidemiol Biomarkers Prev; 19(4); 1004–11. ©2010 AACR.

Ovarian carcinoma spheroids disaggregate on type I collagen and invade live human mesothelial cell monolayers.

Ovarian carcinoma patients frequently develop malignant ascites containing single and aggregated tumor cells, or spheroids. Spheroids have been shown to be resistant to many therapies, but their contribution to ovarian cancer dissemination remains undetermined. We have previously shown that ascites spheroids adhere to extracellular matrix (ECM) proteins and live human mesothelial cells via β1 integrin subunits. Here, we assessed the ability of spheroids that were generated from the human ovarian carcinoma cell line NIH: OVCAR5 to disseminate and invade in vitro. Spheroids were seeded on ECM proteins for 24 h. While laminin and type IV collagen stimulated some cell migration, spheroids completely disaggregated on type I collagen substrates. A monoclonal antibody against the β1 integrin subunit significantly inhibited disaggregation on all proteins tested. To test their invasive ability, spheroids were added to monolayers of live human LP9 mesothelial cells. Within 24 h, the spheroids adhered and disaggregated on top of the monolayers, and within a week had established foci of invasion encompassing a 200-fold larger surface area. Addition of a monoclonal antibody against the β1 integrin subunit drastically reduced spheroid invasion into the mesothelial cell monolayers. GM 6001, a broad-scale matrix metalloproteinase inhibitor, also significantly blocked spheroid invasion into the mesothelial cell monolayers. ɛ-amino-N-caproic acid, a serine protease inhibitor, partially inhibited spheroid invasion. Based on their ability to attach to, disaggregate on, and invade into live human mesothelial cell monolayers, spheroids should thus be regarded as potential contributors to the dissemination of ovarian cancer.

CD66a, CD66b, CD66c, and CD66d each independently stimulate neutrophils

Four members of the earcinoembryonic antigen family, CD66a, CD66b, CD66c, and CD66d, are expressed on human neutrophils. In neutrophils these proteins are activation antigens in that their surface expression is increased following stimulation. To examine their potential role in neutrophil signaling, the effects on neutrophil adhesion to human umbilical vein endothelial cells of a panel of well‐characterized CD66 mAbs was tested. CD66a, CD66b, CD66c, and CD66d antibodies each increased neutrophil adhesion to human umbilical vein endothelial cell monolayers. This increase in neutrophil adhesion caused by CD66 antibodies was blocked by a CD18 antibody and associated with up‐regulation of GD11/CD18 on the neutrophil surface. This increase in neutrophil adhesion required physiological extracellular calcium concentrations at or near the time of CD66 antibody binding to the neutrophil. The incubation of CD66 antibodies with neutrophils in the absence of calcium for 10 min before repletion of calcium resulted in no increase in neutrophil adhesion. The data suggest that CD66a, CD66b, CD66c, and CD66d antibody binding to the neutrophil surface triggers a transient activation signal that requires extracellular calcium and regulates the adhesive activity of CD11/CD18. Sequential desensitization experiments indicated that CD66a, CD66b, CD66c, and CD66d can each independently transmit signals in neutrophils.

Differential gene expression in uterine leiomyoma

Uterine leiomyomas are the most common tumor of the genitourinary system in women and are a major cause of morbidity. The molecular causes of the disease remain unclear. In this study, we examined gene expression in leiomyomas and normal myometrium. RNA was prepared and gene expression determined with the use of Affymetrix GeneChip U_95 arrays containing approximately 12,000 known genes and 48,000 expression sequence tags. Several genes were found to be differentially expressed in these two sample sets, and these genes were analyzed for their expression in a variety of other normal and diseased tissues. Four genes--doublecortin, calpain 6, interleukin-17B, and proteolipid protein 1--were found to be overexpressed in leiomyomas compared with normal myometrium and eighteen other tissues. Sets of genes were identified whose expression could be used to cluster samples with leiomyomas or normal myometrium with the use of Eisen Cluster software. We conclude that differences in gene expression can be detected between leiomyomas and normal myometrium and that these changes in gene expression may yield clues to the pathophysiology of this common tumor.

Human biospecimen research: Experimental protocol and quality control tools

Among the different types of variability (interindividual, intra-individual, analytical, and preanalytical) that can influence the results of any biological assay, preanalytical variations are the most difficult to manage. Preanalytical variations are defined as any variation taking place between

Nectin 4 Overexpression in Ovarian Cancer Tissues and Serum: Potential Role as a Serum Biomarker

Early detection of ovarian cancer is difficult owing to the lack of specific and sensitive tests available. Previously, we found expression of nectin 4 to be increased in ovarian cancer compared with normal ovaries. Reverse transcriptase-polymerase chain reaction (RT-PCR) and quantitative RT-PCR validated the overexpression of nectin 4 messenger RNA in ovarian cancer compared with normal ovarian cell lines and tissues. Protein levels of nectin 4 were elevated in ovarian cancer cell lines and tissue compared with normal ovarian cell lines as demonstrated by Western immunoblotting, flow cytometry, and immunohistochemical staining of tissue microarray slides. Cleaved nectin 4 was detectable in a number of patient serum samples by enzyme-linked immunosorbent assay. In patients with benign gynecologic diseases with high serum CA125 levels, nectin 4 was not detected in the majority of cases, suggesting that nectin 4 may serve as a potential biomarker that helps discriminate benign gynecologic diseases from ovarian cancer in a panel with CA125.