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Biomedical subjects

Nick G Costouros

Publications and source records attributed to Nick G Costouros.

7 recordsLinked to original sources

Gland size is associated with changes in gene expression profiles in sporadic parathyroid adenomas.

BACKGROUND: Sporadic parathyroid adenomas (SPAs) are benign neoplasms responsible for most cases of primary hyperparathyroidism (pHPT). The molecular pathways responsible for the variations in clinical severity of pHPT are unknown. We studied gene expression profiles in patients with SPAs and pHPT to determine associations between these changes and clinical parameters. METHODS: We selected 10 patients with solitary SPAs and nonfamilial, non-MEN1 pHPT treated with surgery from 2001 to 2003. Pathologic and clinical data were reviewed. At operation, tissues from SPAs were frozen in liquid nitrogen; total RNA was obtained from sections, and the diagnosis was confirmed with hematoxylin and eosin staining. Control normal parathyroid RNA was age- and sex-matched. RNA was amplified, labeled, and hybridized to a microarray of 22,272 human oligonucleotides. Cluster analysis of gene expression, analysis of expression ratios, and comparison of clinical parameters were performed. RESULTS: All patients were cured; all specimens were consistent with SPAs. K means clustering divided the 10 patients into 2 distinct 5-patient gene expression groups by using uncentered correlation based on gene subgrouping. Of the clinical parameters, only the mean gland volume was significantly different between group 1 (390 +/- 160 mm(3)) and group 2 (1080 +/- 615 mm(3); P = .032 by Mann-Whitney test). Seventy-five genes were significantly upregulated or downregulated (with a ratio of <.33 or >3) compared with controls. These genes included the v-fos viral oncogene homolog and six calcium ion-binding signaling proteins. CONCLUSIONS: Differential expression of a few critical genes may contribute to differences in gland volume in SPAs. A better understanding of these pathways may help to define the pathophysiology of pHPT.

Adenoma↗

Modulation of tumor-host interactions, angiogenesis, and tumor growth by tissue inhibitor of metalloproteinase 2 via a novel mechanism.

Solid tumors depend on angiogenesis for sustained growth. Tissue inhibitor of metalloproteinase 2 (TIMP-2) is an angiogenesis inhibitor initially characterized for its ability to block matrix metalloproteinases; however, recent data suggest that the antiangiogenic action of TIMP-2 may rely on matrix metalloproteinase-independent mechanisms. The aim of this study was to identify molecular pathways involved in the effects of TIMP-2 on processes dependent on tumor-host interactions such as angiogenesis. Using in vitro cell culture and a syngeneic murine tumor model, we compared the effects of TIMP-2 overexpression on gene expression profiles in vitro to those observed in vivo. Validating these findings by real-time quantitative PCR and layered protein scanning, we identified up-regulation of mitogen-activated protein kinase phosphatase 1 as an effector of the antiangiogenic function of TIMP-2. Up-regulation of mitogen-activated protein kinase phosphatase 1 in tumors overexpressing TIMP-2 leads to dephosphorylation of p38 mitogen-activated protein kinase and inhibition of tumor growth and angiogenesis. Phosphatase activity appears important in regulating tumor angiogenesis, offering a promising direction for the identification of novel molecular targets and antiangiogenic compounds for the treatment of cancer.

Animals↗

Using gene expression profiling to differentiate benign versus malignant thyroid tumors.

DNA microarrays allow quick and complete evaluation of a cell's transcriptional activity. Expression genomics is very powerful in that it can generate expression data for a large number of genes simultaneously across multiple samples. In cancer research, an intriguing application of expression arrays includes assessing the molecular components of the neoplastic process and utilizing the data for cancer classification (Miller LD, et al. Cancer Cell 2002;2:353-61). Classification of human cancers into distinct groups based on their molecular profile rather than their histological appearance may prove to be more relevant to specific cancer diagnoses and cancer treatment regimes. Several attempts to formulate a consensus about classification and treatment of thyroid carcinoma based on standard histopathological analysis have resulted in published guidelines for diagnosis and initial disease management (Sherman SI. Lancet 2003;361:501-11). In the past few decades, no improvement has been made in the differential diagnosis of thyroid tumors by fine needle aspiration biopsy, specifically suspicious or indeterminate thyroid lesions, suggesting that a new approach to this should be explored. Therefore, in this study, we developed a gene expression approach to diagnose benign versus malignant thyroid lesions in 73 patients with thyroid tumors. We successfully built a 10 and 6 gene model able to differentiate benign versus malignant thyroid tumors. Our results support the premise that a molecular classification system for thyroid tumors is possible, and this in turn may provide a more accurate diagnostic tool for the clinician managing patients with suspicious thyroid lesions.

Diagnosis, Differential↗

Peak stimulated insulin secretion is associated with specific changes in gene expression profiles in sporadic insulinomas.

BACKGROUND: The molecular pathways that are responsible for pathologic insulin secretion by insulinomas have not been characterized. We studied gene expression profiles from insulinomas and determined associations between these changes and preoperative peak serum insulin levels. METHODS: Ten patients with insulinomas underwent calcium-stimulated arteriography and surgical resection. Tumor RNA was isolated; corresponding complementary DNA was hybridized to 10K human complementary DNA arrays. Pooled human islet cell complementary DNA served as the control. Cluster analysis of gene expression and analysis of expression ratios was performed. RESULTS: Nineteen genes were up-regulated at least 3-fold in insulinomas compared with controls, which included the genes for islet amyloid polypeptide and proprotein convertase type 2. Cluster analysis revealed 2 groups of patients with insulinoma and with distinct patterns of gene expression. Mean peak serum insulin values between groups were 196 and 1100 (U/mL (P<.05), which demonstrates a significant difference in insulin response to calcium stimulation between these 2 groups. CONCLUSION: We show that genes that are relevant to the pathogenesis of hyperinsulinemia are expressed preferentially in insulinomas. In addition, patients with a distinct and common pattern of gene expression had significantly higher stimulated insulin secretion levels. The study of these genes may help to identify the biochemical pathways that are responsible for pathologic insulin secretion.

Adult↗

Molecular imaging of tumor angiogenesis.

The emergence of angiogenesis as an important target for cancer therapy has led to increased research aimed at understanding the mechanisms underlying the development, maintenance, and destruction of tumor vasculature. Concurrently, molecular imaging technologies have been developed and are being incorporated as integral components of biomedical research due to their ability to noninvasively monitor in vivo molecular events. With the evaluation of numerous anti-angiogenic agents in clinical trials, the adaptation and validation of molecular imaging modalities for monitoring angiogenesis is actively being pursued. The importance of selecting appropriate molecular targets in the study of angiogenesis has become increasingly complex due to the pleiotropy of vascular phenotypes. Furthermore, due to both the relatively low abundance of endothelial cells in tumor tissue and the inherent difficulties of detecting molecular events, molecular imaging of vasculature necessitates continued improvements in achieving higher sensitivity. While several studies have been published that set the groundwork for imaging angiogenesis, much has yet to be accomplished. Various tumor models and transgenic mice provide an excellent resource for developing molecular imaging technologies for the understanding of angiogenesis. This research may play a particularly crucial role in evaluating mechanism and efficacy during pre-clinical testing of anti-angiogenic drugs. Due to practical limitations, however, the implementation of angiogenesis-directed molecular imaging may not extend beyond highly specialized clinical trials. That is, imaging modalities that evaluate angiogenesis at a functional level may prove more appropriate. Despite future technical challenges, molecular imaging will become an important research and clinical tool in evaluating tumor angiogenesis.

Animals↗

Microarray gene expression analysis of murine tumor heterogeneity defined by dynamic contrast-enhanced MRI.

Current methods of studying angiogenesis are limited in their ability to serially evaluate in vivo function throughout a target tissue. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and pharmacokinetic modeling provide a useful method for evaluating tissue vasculature based on contrast accumulation and washout. While it is often assumed that areas of high contrast enhancement and washout comprise areas of increased angiogenesis and tumor activity, the actual molecular pathways that are active in such areas are poorly understood. Using DCE-MRI in a murine subcutaneous tumor model, we were able to perform pharmacokinetic functional analysis of a tumor, coregistration of MRI images with histological cross-sections, immunohistochemistry, laser capture microdissection, and genetic profiling of tumor heterogeneity based on pharmacokinetic parameters. Using imaging as a template for biologic investigation, we have not found evidence of increased expression of proangiogenic modulators at the transcriptional level in either distinct pharmacokinetic region. Furthermore, these regions show no difference on histology and CD31 immunohistochemistry. However, the expression of ribosomal proteins was greatly increased in high enhancement and washout regions, implying increased protein translation and consequent increased cellular activity. Together, these findings point to the potential importance of posttranscriptional regulation in angiogenesis and the need for the development of angiogenesis-specific contrast agents to evaluate in vivo angiogenesis at a molecular level.

Animals↗

Microarray technology and gene expression analysis for the study of angiogenesis.

Angiogenesis plays a major role in multiple disease processes including cancer, and new agents that modulate angiogenesis are rapidly entering clinical trials. The understanding of the biological mechanisms and downstream effects for many of these agents is poorly understood. It is therefore important that methods evolve to understand how an agent regulates angiogenesis, in order to promote a higher percentage of successful drug candidates. With the emergence of microarray technology for the evaluation of gene expression, researchers have a powerful tool for dissecting the biological mechanisms of angiogenesis. However, huge data sets and complex statistics pose a hurdle for the investigator to obtain useful and meaningful data. To eliminate problems in data analysis, proper design and planning prior to performing a microarray experiment is crucial to making valid conclusions. This review will discuss the critical factors in designing, performing and analysing microarray experiments, and the utility of various models of angiogenesis for microarray analysis.

Animals↗