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Differential expression of human nucleoside transporters in normal and tumor tissue.

Responses to nucleoside analog drugs used in the treatment of cancers and viral infections can vary considerably between individuals. Genetic variability between individuals in their ability to transport drugs may be a contributory factor. Nucleoside transporters (NTs) move nucleosides and analog drugs across cell membranes. Four human NTs have been cloned: hENT1, hENT2, hCNT1, and hCNT2. Human NT expression profiles are not well defined; therefore, we undertook a comprehensive quantitative analysis of the differential expression of NTs within normal and tumor tissue. Results show tissue specific expression of the different NTs in normal tissue while matched normal/tumor tissue cDNA array data show considerable variability in all NT expression profiles from different individuals, in particular decreased expression in tumor tissue. Decreased NT expression in tumor tissue may contribute to reduced drug uptake and the development of resistance. These data suggest that nucleoside analog drug therapies may be optimized by determining individual NT expression profiles.

Antineoplastic Agents↗

Comprehensive analysis of the expression of the metastasis-associated gene 1 in human neoplastic tissue.

CONTEXT: The metastasis-associated gene 1 (MTA1) is overexpressed in several human cancers. Recent reports suggest that MTA1 may play a role in cancer progression either through transcription repression and/or hormone receptor interactions. OBJECTIVE: To analyze MTA1 expression levels in a wide variety of human tumors. DESIGN: We used Oncomine, an Internet-based compendium of expression array data, to query more than 90 expression array studies, and we evaluated tissue microarrays composed of more than 3200 samples representing 138 different localized neoplasms. RESULTS: Both analyses show that MTA1 is ubiquitously expressed in benign and malignant tumors. The highest levels of MTA1 expression were observed in diffuse B-cell lymphoma (mean staining intensity, 3.9/4), basal cell carcinomas (3.7/4), and consistently in tumors of neuroendocrine descent such as paraganglioma (3.7/4) and carcinoid tumor (3.1/4). CONCLUSIONS: This study characterizes MTA1 expression for the first time across a broad spectrum of primary tumors, demonstrating expression in both benign and malignant neoplasms in addition to showing an association with neuroendocrine differentiation. We also found evidence that MTA1 expression is associated with tissue invasion but may not be sufficient for the progression to metastatic stages.

Biomarkers, Tumor↗

Neutralization of the chemokine CXCL10 reduces apoptosis and increases axon sprouting after spinal cord injury.

Spinal cord injury (SCI) is followed by a secondary degenerative process that includes cell death. We have previously demonstrated that the chemokine CXCL10 is up-regulated following SCI and plays a critical role in T-lymphocyte recruitment to sites of injury and inhibition of angiogenesis; antibody-mediated functional blockade of CXCL10 reduced inflammation while enhancing angiogenesis. We hypothesized, based on these findings, that the injury environment established by anti-CXCL10 antibody treatment would support greater survival of neurons and enhance axon sprouting compared with the untreated, injured spinal cord. Here, we document gene array and histopathological data to support our hypothesis. Gene array analysis of treated and untreated tissue from spinal cord-injured animals revealed eight apoptosis-related genes with significant expression changes at 3 days postinjury. In support of these data, quantification of TUNEL-positive cells at 3 days postinjury indicated a 75% reduction in the number of dying cells in treated animals compared with untreated animals. Gene array analysis of treated and untreated tissue also revealed six central nervous system growth-related genes with significant expression changes in the brainstem at 14 days postinjury. In support of these data, quantification of anterograde-labeled corticospinal tract fibers indicated a 60-70% increase in axon sprouting caudal to the injury site in treated animals compared with untreated animals. These findings indicate that anti-CXCL10 antibody treatment provides an environment that reduces apoptosis and increases axon sprouting following injury to the adult spinal cord.

Animals↗

Evaluation of PTEN expression in cervical adenocarcinoma by tissue microarray.

PTEN, a tumor suppressor gene, appears to negatively control the phosphoinositide 3-kinase signaling pathway for regulation of cell proliferation and cell survival. Somatic PTEN mutations are involved in a variety of tumors, including endometrial carcinomas, where PTEN expression is diminished. We examined expression of PTEN in a series of cervical adenocarcinomas and precursors, using tissue microarray (TMA) technology. TMA blocks were constructed using paraffin-embedded, formalin-fixed tissues from 273 samples derived from 16 normal cervical biopsies, 119 cases of invasive adenocarcinoma, and 20 high-grade cervical glandular intraepithelial neoplasia (CGIN). Fresh 3-mum sections were cut and immunostained with PTEN, and expression was correlated with clinicopathologic variables, including histologic subtypes of adenocarcinoma. In 137 patients, PTEN expression was positive in 121 (88%). The intensity and distribution of PTEN staining in the tumor tissue were more heterogeneous than those observed in the normal tissues. There were no significant differences in distribution or intensity of PTEN expression between adenocarcinoma in situ and subtypes of invasive adenocarcinoma. Our findings show that unlike the case in most endometrial carcinomas, PTEN expression is retained during the process of carcinogenesis in the glandular cervix. There is, however, evidence of altered distribution and intensity of PTEN expression in cervical adenocarcinoma cells.

Adenocarcinoma↗

Single nucleotide polymorphism array analysis of flow-sorted epithelial cells from frozen versus fixed tissues for whole genome analysis of allelic loss in breast cancer.

Analysis of allelic loss in archival tumor specimens is constrained by quality and quantity of tissue and by technical limitations on the number of chromosomal sites that can be efficiently evaluated in conventional analyses using polymorphic microsatellite markers. Newly developed array-based assays have the potential to yield genome-wide data from small amounts of tissue but have not been validated for use with routinely processed specimens. We used the Affymetrix HuSNP assay, composed of 1494 single nucleotide polymorphism sites, to compare allelic loss results obtained from both formalin-fixed and frozen breast tissue samples. Tumor cells were separated from normal epithelia and nonepithelial cells by dissection and bivariate cytokeratin/DNA flow sorting; normal breast cells from the same patient served as constitutive normal. Allele results from the HuSNP array averaged 96% reproducibility between duplicates and were concordant between the fixed and frozen normal samples. We also analyzed DNA from the same samples after whole-genome amplification (primer extension preamplification). Although overall signal intensities were lower, the genotype data from the primer extension preamplification material was concordant with genomic DNA data from the same samples. Results from genomic normal tissue DNA averaged informative single nucleotide polymorphism at 379 (25%) loci genome-wide. Although data points were clustered and some segments of chromosomes were not informative, our data indicated that the Affymetrix HuSNP assay could provide an efficient and valid genome-wide analysis of allelic imbalance in routinely processed and whole genome-amplified pathology specimens.

Breast Neoplasms↗

Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays.

Oligonucleotide arrays can provide a broad picture of the state of the cell, by monitoring the expression level of thousands of genes at the same time. It is of interest to develop techniques for extracting useful information from the resulting data sets. Here we report the application of a two-way clustering method for analyzing a data set consisting of the expression patterns of different cell types. Gene expression in 40 tumor and 22 normal colon tissue samples was analyzed with an Affymetrix oligonucleotide array complementary to more than 6,500 human genes. An efficient two-way clustering algorithm was applied to both the genes and the tissues, revealing broad coherent patterns that suggest a high degree of organization underlying gene expression in these tissues. Coregulated families of genes clustered together, as demonstrated for the ribosomal proteins. Clustering also separated cancerous from noncancerous tissue and cell lines from in vivo tissues on the basis of subtle distributed patterns of genes even when expression of individual genes varied only slightly between the tissues. Two-way clustering thus may be of use both in classifying genes into functional groups and in classifying tissues based on gene expression.

Adenocarcinoma↗

An easy method for manual construction of high-density tissue arrays.

Tissue array technique is a powerful tool for high-throughput in situ analysis on a large cohort of cases. This report describes an easy and effective method for manual construction of high-density tissue array containing 88 (11 x 8) samples, each of which measures 2 mm in diameter. No extraneous device is needed except a conventional 16-gauge bone marrow biopsy trephine apparatus to puncture the paraffin blocks. The authors constructed 563 cases of epithelial neoplasm into 7 blocks. The sectioning is smooth and does not require adhesive tape. They performed immunohistochemical staining for cytokeratins 7 and 20 on these tissue array slides. The samples rarely fell off during the antigen retrieval and staining procedure. The results were generally in agreement with those in previous reports. The authors offer a satisfactory alternative method for building custom arrays for any laboratory that is unable to afford a tissue array apparatus.

Biomarkers, Tumor↗

Gene expression profiling of endocrine tumors using DNA microarrays: progress and promise.

Genomewide profiling of gene expression, made possible by the development of DNA microarray technology and more powerful by the sequencing of the human genome, has led to advances in tumor classification and biomarker discovery for the common types of human neoplasia. Application of this approach to the field of endocrine neoplasia is in its infancy, although some progress has been recently reported. In this review, the progress to date is summarized and the promise of DNA microarray analysis in conjunction with tissue array immunohistochemistry to significantly impact endocrine tumor diagnosis and prognosis is discussed.

DNA, Neoplasm↗

Using a xenograft model of human breast cancer metastasis to find genes associated with clinically aggressive disease.

Metastasis is the primary cause of death from breast cancer. A xenograft model was used to identify genes potentially involved with metastasis, comparing expression in the poorly metastatic GI101A human breast cancer cell line and a highly metastatic variant, GILM2. cDNA microarray analyses of these isogenic variants were done using 16K Operon 70-mer oligonucleotide microarray slides. Differentially expressed genes were identified by ANOVA, and differences of > or =2.5-fold were found for 106 genes. Changes in protein or RNA expression were confirmed for 10 of 12 genes. Three markers, heat shock protein 70 (HSP-70), chemokine (C-X-C motif) ligand 1 (CXCL-1), and secreted leukocyte protease inhibitor (SLPI), were studied further with breast cancer tissue microarrays using a novel method of automated quantitative analysis. This uses cytokeratin to define pixels as breast cancer (tumor mask) within the tissue array spot and then measures intensity of marker expression using a cyanine 5-conjugated antibody within the mask. Scores were correlated with clinicopathologic variables. High HSP-70 expression and high nuclear CXCL-1 expression in primary tumors were both associated with decreased survival (P = 0.05 and 0.027, respectively). Expression of each marker was strongly associated with lymph node involvement (P = 0.0002, 0.008, 0.0012, and 0.012 for HSP-70, nuclear CXCL-1, cytoplasmic CXCL-1, and SLPI, respectively). Identification of genes associated with metastasis in experimental models may have clinical implications for the management of breast cancer, because some of these are associated with lymph node metastasis and survival and might be useful as prognostic markers or molecular targets for novel therapies.

Animals↗

Micropatterning of proteins and mammalian cells on biomaterials.

Controlling the spatial organization of cells is vital in engineering tissues that require precisely defined cellular architectures. For example, functional nerves or blood vessels form only when groups of cells are organized and aligned in very specific geometries. Yet, scaffold designs incorporating spatially defined physical cues such as microscale surface topographies or spatial patterns of extracellular matrix to guide the spatial organization and behavior of cells cultured in vitro remain largely unexplored. Here we demonstrate a new approach for controlling the spatial organization, spreading, and orientation of cells on two micropatterned biomaterials: chitosan and gelatin. Biomaterials with grooves of defined width and depth were fabricated using a two-step soft lithography process. Selective attachment and spreading of cells within the grooves was ensured by covalently modifying the plateau regions with commercially available protein resistant triblock copolymers. Precise spatial control over cell spreading and orientation has been observed when human microvascular endothelial cells are cultured on these patterned biomaterials, suggesting the potential of this technique in creating tissue culture scaffolds with defined chemical and topographical features.

Biocompatible Materials↗

Suppression of atherogenesis by delivery of TGFbeta1ACT using adeno-associated virus type 2 in LDLR knockout mice.

TGFbeta(1) deficiency has been attributed to the development of atherosclerosis. There is, however, little direct evidence for this concept. To examine this hypothesis, low-density lipoprotein receptor knockout (LDLR(-/-)) mice were injected via tail vein with recombinant adeno-associated virus type 2 (rAAV) carrying a bioactive TGFbeta(1) mutant (AAV/TGFbeta1ACT, n=10) or granulocyte-macrophage-colony stimulating factor (AAV/GM-CSF, n=10, a negative control) or saline (n=9, control), and then put on a high cholesterol diet. At 18 weeks, blood lipids were found to be similarly elevated in all LDLR(-/-) mice. TGFbeta1ACT and GM-CSF (DNA, mRNA, and protein) were highly expressed in the tissues of mice given TGFbeta1ACT or AAV/GM-CSF, respectively, showing sustained transfection following gene delivery by the systemic route. Saline-treated and AAV/GM-CSF-treated LDLR(-/-) mice showed extensive areas of atherosclerotic lesion formation. There was evidence of intense oxidative stress (nitrotyrosine staining), inflammation (CD68 staining), and expression of adhesion molecules and the ox-LDL receptor LOX-1 (gene array analysis) in the atherosclerotic tissues. Importantly, atherosclerotic lesion formation was markedly inhibited in the LDLR(-/-) mice given AAV/TGFbeta1ACT. Expression of adhesion molecules and LOX-1, oxidative stress, and inflammatory response all were inhibited in the mice given AAV/TGFbeta1ACT (P<0.05 vs. saline-treated or GM-CSF-treated LDLR(-/-) mice). These data for the first time demonstrate that systemic delivery of TGFbeta1ACT gene via AAV can inhibit formation of atherosclerotic lesions, possibly via anti-inflammatory and anti-oxidant mechanisms. These findings suggest a novel view of TGFbeta(1) in atherogenesis and a potential new gene therapy for treatment of atherosclerosis.

Adenoviridae↗

Profile of differentially expressed genes after transfer of chromosome 17 into the breast cancer cell line CAL51.

Previous studies have shown that transfer of chromosome 17 suppresses the tumorigenic phenotype of the breast cancer cell line CAL51, suggesting the presence of putative tumor suppressor genes on this chromosome. Suppression subtractive hybridization and oligonucleotide microarray analyses were performed to identify differentially expressed genes in nontumorigenic microcell hybrids, CAL/17-1 and CAL/17-3, when compared with CAL51 cells. In total, 263 differentially expressed transcripts were associated with these phenotypes. Of these, a high percentage is involved in various biological processes associated with tumorigenesis, including DNA-dependent regulation of transcription, regulation of cell cycle, signal transduction, and cell proliferation. Microarray analysis of selected chromosome 17 genes in a series of 25 human primary breast tumors showed associations with clinicopathologic parameters of the tumors. Of these genes, TOB1 (transducer of ERBB2) was selected for further expression analysis. Using RT-PCR and immunohistochemical staining of tissue microarrays, we could reveal a differential mRNA and protein expression of TOB1 in the majority of breast tumors and lymph node metastases compared with normal breast tissues, indicating a potential role of this protein in breast tumorigenesis.

Biomarkers, Tumor↗

Isolating ligands specific for human vasculature using in vivo phage selection.

The endothelium lining blood vessels expresses molecules that are restricted in their expression to a particular tissue or organ. These molecules are attractive targets for therapy and diagnosis because they allow agents to be delivered specifically to the blood vessels supplying the desired tissue. However, it is difficult to identify these tissue-specific molecules because endothelium loses much of its tissue-specific nature when it is removed from the organ. This can be overcome by using in vivo phage selection - injecting libraries of phage bearing antibodies or peptides into an animal and isolating phage that bind to the relevant tissue. A variation on this approach, in which in vivo phage selection is performed in animals bearing human tissue xenografts, allows the isolation of peptides (and presumably other molecules) specific for human vasculature.

Animals↗

Detecting and profiling tissue-selective genes.

The widespread use of DNA microarray technologies has generated large amounts of data from various tissue and/or cell types. These data set the stage to answer the question of tissue specificity of human transcriptome in a comprehensive manner. Our focus is to uncover the tissue-gene relationship by identifying genes that are preferentially expressed in a small number of tissue types. The tissue selectivity would shed light on the potential physiological functions of these genes and provides an indispensable reference to compare against disease pathophysiology and to identify or validate tissue-specific drug targets. Here we describe a systematic computational and statistical approach to profile gene expression data to identify tissue-selective genes with the use of a more extensive data set and a well-established multiple-comparison procedure with error rate control. Expression data of 35,152 probe sets in 97 normal human tissue types were analyzed, and 3,919 genes were identified to be selective to one or a few tissue types. We presented results of these tissue-selective genes and compared them to those identified by other studies.

Animals↗

Identification of differentially expressed genes in organ-confined prostate cancer by gene expression array.

BACKGROUND: To understand the molecular mechanisms underlying prostate cancer, we have utilized the gene expression array to search for genes whose expression is altered in this disease. METHODS: RNA quality from manual microdissected tissue was compared with that from microselected tissue by electrophoresis. For array analysis, malignant and normal prostate epithelium was enriched using microselection technique from prostate cancer and the peripheral zone of a normal prostate. Identical array membrane was hybridized to labeled cancer and normal cDNA, respectively. The differentially expressed gene was further evaluated by RT-PCR. RESULTS: Microdissection, but not microselection, causes visible degradation to RNA. Of the 588 genes on the membrane, 87 genes yielded significant signals. Based on a three fold difference relative to normal prostate tissue, 1 gene was overexpressed and 12 genes underexpressed in prostate cancer. Of them, five showed statistically significant reduction in mRNA levels in six prostate cancer specimens compared with seven normal prostate specimens. These five genes are glutathione S-transferase M1 (GSTM1), monocyte chemotactic protein-1 (MCP-1), tumor necrosis factor-alpha receptor-1 (TNFR-1), transforming growth factor beta3 (TGF-beta3), and inhibitor of DNA binding-1 (ID-1). CONCLUSIONS: GST-based metabolism, cytokine MCP-1 and TNFR-1, and TGF-beta3 signaling pathways, and some helix-loop-helix nuclear proteins could be potentially important in organ-confined prostate cancer and deserve further investigation.

Adult↗

Tissue microarray analysis reveals prognostic significance of COX-2 expression for local relapse in T1-2N0 larynx cancer treated with primary radiation therapy.

OBJECTIVE: The purpose of this analysis is to determine whether a significant correlation exists between cyclooxygenase-2 (COX-2) expression and local relapse in a large cohort of patients with T1 to 2N0 laryngeal cancer treated with primary radiation therapy. METHODS AND MATERIALS: Clinical and molecular analyses were conducted on 123 patients with biopsy-proven T1 to 2N0 laryngeal cancer. Clinical prognostic factors included pretreatment hemoglobin, age, sex, race, T stage, tumor subsite, beam energy, biologically equivalent dose, therapy duration, and treatment date. Molecular prognostic factors included COX-2, p53, and Ki-67 expression. Expression levels were determined by immunohistochemistry on paraffin-embedded tissues arrayed on tissue microarrays. Multivariate analysis was done with the Cox proportional hazards model. RESULTS: Thirty-two patients have locally relapsed, for an actuarial 5-year local relapse-free rate of 70.4%. On multivariate analysis, positive COX-2 expression predicted local relapse after radiation therapy. The relative risk (RR) for local relapse with COX-2 positivity was 2.57 (95% CI, 1.21-5.47; P = .01). Other prognostic factors for local relapse included negative Ki-67 expression (RR = 5.72; 95% CI, 2.04-16.1; P < .001), T2 stage (RR = 2.98; 95% CI, 1.39-6.38; P = .005), and therapy duration greater than 43 days (RR = 6.04; 95% CI, 1.37-26.7; P = .02). CONCLUSIONS: Positive COX-2 expression predicts for local relapse in T1 to 2N0 larynx cancer in a multivariate model. This relationship may have potential therapeutic implications regarding the use of COX-2 inhibitors during radiation therapy for optimal outcome.

Adult↗

Degenerate oligonucleotide primed-polymerase chain reaction-based array comparative genomic hybridization for extensive amplicon profiling of breast cancers : a new approach for the molecular analysis of paraffin-embedded cancer tissue.

We have developed a protocol for degenerate oligonucleotide-primed-polymerase chain reaction-based array comparative genomic hybridization (array CGH) that, when combined with a laser microdissection technique, allows the analysis of cancer cell populations isolated from routine, formalin-fixed, paraffin-embedded tissue samples. Comparison of copy number changes detected by degenerate oligonucleotide-primed-polymerase chain reaction-based array CGH to those detected by conventional array CGH or fluorescence in situ hybridization, demonstrated that amplifications can be reliably detected. Using a genomic microarray containing 57 oncogenes, we screened a total of 28 breast cancer samples and obtained a detailed amplicon profile that is the most comprehensive to date in human breast cancer. The array CGH method described here will allow the genetic analysis of paraffin-embedded human cancer materials for example in the context of clinical trials.

Breast Neoplasms↗

Molecular heterogeneity of inflammatory breast cancer: a hyperproliferative phenotype.

PURPOSE: Inflammatory breast cancer (IBC) is associated with very poor prognosis. The aims of this study are (a) to prospectively identify differential gene expression patterns associated with IBC and (b) to confirm these pathways using tissue arrays. EXPERIMENTAL DESIGN: For gene expression analysis, IBC (n=14) was clinically defined as rapid-onset cancer associated with erythema and skin changes, whereas non-IBC patients (n=20) had stage III breast cancers, and cDNA analysis was carried out using the Affymetrix (Santa Clara, CA) HG-U133A microarrays. Tissue arrays were constructed from paraffin-embedded material, and the molecular phenotype of 75 IBC was compared with results from>2,000 non-IBC. RESULTS: Gene expression analyses indicated that IBC has higher expression of genes associated with increased metabolic rate, lipid signaling, and cell turnover relative to non-IBC tumors. Consistent with the expression analysis, IBC had statistically higher Ki-67 (93% versus 11%; P<0.001). BAX expression, reflecting increased apoptosis and cell turnover, was significantly uniformly higher in almost all IBC (98% versus 66%; P<0.05), whereas the expression of Bcl-2 was not significantly different. IBC tumors were more likely to be steroid hormone receptor negative (estrogen receptor, 49% versus 30%; P=0.002; progesterone receptor, 68% versus 42%; P=0.001). The expression of tyrosine kinases was not significantly different. E-cadherin was found to be expressed in 87% of IBC, whereas the expression p53 was not significantly different. CONCLUSION: This study is one of the largest molecular analyses of IBC. Both IBC and non-IBC are genetically heterogeneous with consistent differences in the molecular phenotype of IBC.

Breast Neoplasms↗