Previous Microarray Studies Research Articles

Gene Expression Profile of Papillary Thyroid Cancer: Sources of Variability and Diagnostic Implications

The study looked for an optimal set of genes differentiating between papillary thyroid cancer (PTC) and normal thyroid tissue and assessed the sources of variability in gene expression profiles. The analysis was done by oligonucleotide microarrays (GeneChip HG-U133A) in 50 tissue samples taken intraoperatively from 33 patients (23 PTC patients and 10 patients with other thyroid disease). In the initial group of 16 PTC and 16 normal samples, we assessed the sources of variability in the gene expression profile by singular value decomposition which specified three major patterns of variability. The first and the most distinct mode grouped transcripts differentiating between tumor and normal tissues. Two consecutive modes contained a large proportion of immunity-related genes. To generate a multigene classifier for tumor-normal difference, we used support vector machines-based technique (recursive feature replacement). It included the following 19 genes: DPP4, GJB3, ST14, SERPINA1, LRP4, MET, EVA1, SPUVE, LGALS3, HBB, MKRN2, MRC2, IGSF1, KIAA0830, RXRG, P4HA2, CDH3, IL13RA1, and MTMR4, and correctly discriminated 17 of 18 additional PTC/normal thyroid samples and all 16 samples published in a previous microarray study. Selected novel genes (LRP4, EVA1, TMPRSS4, QPCT, and SLC34A2) were confirmed by Q-PCR. Our results prove that the gene expression signal of PTC is easily detectable even when cancer cells do not prevail over tumor stroma. We indicate and separate the confounding variability related to the immune response. Finally, we propose a potent molecular classifier able to discriminate between PTC and nonmalignant thyroid in more than 90% of investigated samples.

PD.70 Expression of p53, pRb, Ki-67 and bcl-2 in betel quid induced oral mucosal lesions

Introduction: The variability of clinical outcomes in oral cancer patients and the heterogeneity of the disease are the main challenges for the improvement of current treatment modalities. Efforts in our laboratory have focused on the molecular profiling of oral cancer to understand the mechanisms underlying the disease. In a previous microarray study, we found Guanine nucleotide binding protein alpha-12 (GNA12) to be up-regulated in oral cancer. Materials and methods: In this study, we validated the expression of GNA12 at the mRNA level in 47 oral squamous cell carcinoma (OSCC) and 18 non-malignant oral mucosa tissues, by quantitative polymerase chain reaction (qPCR). Further, GNA12 protein expression was accessed by immunohistochemistry (IHC) on 44 tumors and 23 non-malignant oral mucosa tissues. Using OSCC cell lines, we examined the effects of GNA12 signaling by in vitro functional assays. Results: We demonstrated that GNA12 mRNA levels were significantly up-regulated in OSCC in comparison to the non-malignant oral mucosa tissues. Consistently, high levels of GNA12 protein expression were detected in 75% of OSCC tissues, while the non-malignant tissues showed negative or weak expression. We demonstrated that expression of activated GNA12 (GQ231L) promoted oral cancer cell migration in a monolayer wound healing assay and cell invasion through the matrigel barrier, but cell proliferation was not changed. Correspondingly, exogenous expression of the regulator of G-protein signaling (RGS) blocked G12 family signaling through RhoA, which resulted in the inhibition of cancer cell migration and invasion. Discussion: In summary, we demonstrated for the first time in OSCC that GNA12 is over-expressed in a large percentage of these patients and notably, the over-expression drives migration and invasion of oral cancer cells. Taken together, this information indicates that targeting GNA12 could benefit oral cancer patients by preventing the spread of the disease.

Comparative proteomic analysis of all-trans-retinoic acid treatment reveals systematic posttranscriptional control mechanisms in acute promyelocytic leukemia

AbstractAll-trans-retinoic acid (ATRA) induces growth inhibition, differentiation, and apoptosis in cancer cells, including acute promyelocytic leukemia (APL). In APL, expression of promyelocytic leukemia protein retinoic acid receptor–α (PML-RARα) fusion protein, owing to the t(15; 17) reciprocal translocation, leads to a block in the promyelocytic stage of differentiation. Here, we studied molecular mechanisms involved in ATRA-induced growth inhibition and myeloid cell differentiation in APL. By employing comprehensive high-throughput proteomic methods of 2-dimensional (2-D) gel electrophoresis and amino acid–coded mass tagging coupled with electrospray ionization (ESI) mass spectrometry, we systematically identified a total of 59 differentially expressed proteins that were consistently modulated in response to ATRA treatment. The data revealed significant down-regulation of eukaryotic initiation and elongation factors, initiation factor 2 (IF2), eukaryotic initiation factor 4AI (eIF4AI), eIF4G, eIF5, eIF6, eukaryotic elongation factor 1A-1 (eEF1A-1), EF-1-δ, eEF1γ, 14-3-3ϵ, and 14-3-3ζ/δ (P< .05). The translational inhibitor DAP5/p97/NAT1 (death-associated protein 5) and PML isoform-1 were found to be up-regulated (P< .05). Additionally, the down-regulation of heterogeneous nuclear ribonucleoproteins (hnRNPs) C1/C2, UP2, K, and F; small nuclear RNPs (snRNPs) D3 and E; nucleoprotein tumor potentiating region (TPR); and protein phosphatase 2A (PP2A) were found (P< .05); these were found to function in pre-mRNA processing, splicing, and export events. Importantly, these proteomic findings were validated by Western blot analysis. Our data in comparison with previous cDNA microarray studies and our reverse transcription–polymerase chain reaction (RT-PCR) experiments demonstrate that broad networks of posttranscriptional suppressive pathways are activated during ATRA-induced growth inhibition processes in APL.

MICROARRAY AND PROTEOMIC ANALYSIS OF THE HUMAN ALCOHOLIC BRAIN.

The superior frontal cortex (SFC) is selectively damaged in chronic alcohol abuse, with localized neuronal loss and tissue atrophy. Regions such as motor cortex show little neuronal loss except in severe co-morbidity (liver cirrhosis or WKS). Altered gene expression was found in microarray comparisons of alcoholic and control SFC samples [1]. We used Western blots and proteomic analysis to identify the proteins that also show differential expression. Tissue was obtained at autopsy under informed, written consent from uncomplicated alcoholics and age- and sex-matched controls. Alcoholics had consumed 80 g ethanol/day chronically (often, 200 g/day for 20 y). Controls either abstained or were social drinkers ( 20 g/day). All subjects had pathological confirmation of liver and brain diagnosis; none had been polydrug abusers. Samples were homogenized in water and clarified by brief centrifugation (1000g, 3 min) before storage at –80°C. For proteomics the thawed suspensions were centrifuged (15000g, 50 min) to prepare soluble fractions. Aliquots were pooled from SFC samples from the 5 chronic alcoholics and 5 matched controls used in the previous microarray study [1]. 2-Dimensional electrophoresis was performed in triplicate using 18 cm format pH 4–7 and pH 6–11 immobilized pH gradients for firstdimension isoelectric focusing. Following second-dimension SDS-PAGE the proteins were fluorescently stained and the images collected by densitometry. 182 proteins differed by 2-fold between cases and controls. 141 showed lower expression in alcoholics, 33 higher, and 8 were new or had disappeared. To date 63 proteins have been identified using MALDI-MS and MS-MS. Western blots were performed on uncentrifuged individual samples from 76 subjects (controls, uncomplicated alcoholics and cirrhotic alcoholics). A common standard was run on every gel. After transfer, immunolabeling, and densitometry, the intensities of the unknown bands were compared to those of the standards. We focused on proteins from transcripts that showed clear differences in a series of microarray studies, classified into common sets including Regulators of G-protein Signaling and Myelin-associated proteins. The preponderantly lower level of differentially expressed proteins in alcoholics parallels the microarray mRNA analysis in the same samples. We found that mRNA and protein expression do not frequently correspond; this may help identify pathogenic processes acting at the level of transcription, translation, or post-translationally.

Microarray analysis of gene expression with age in individual nematodes.

We compare the aging of wild-type and long-lived C. elegans by gene expression profiling of individual nematodes. Using a custom cDNA array, we have characterized the gene expression of 4-5 individuals at 4 distinct ages throughout the adult lifespan of wild-type N2 nematodes, and at the same ages for individuals of the long-lived strain daf-2(e1370). Using statistical tools developed for microarray data analysis, we identify genes that differentiate aging N2 from aging daf-2, as well as classes of genes that change with age in a similar way in both genotypes. Our novel approach of studying individual nematodes provides practical advantages, since it obviates the use of mutants or drugs to block reproduction, as well as the use of stressful mass-culturing procedures, that have been required for previous microarray studies of C. elegans. In addition, this approach has the potential to uncover the molecular variability between individuals of a population, variation that is missed when studying pools of thousands of individuals.

A multigene expression panel for the molecular diagnosis of Barrett's esophagus and Barrett's adenocarcinoma of the esophagus.

In order to identify genes or combination of genes that have the power to discriminate between premalignant Barrett's esophagus and Barrett's associated adenocarcinoma, we analysed a panel of 23 genes using quantitative real-time RT-PCR (qRT-PCR, Taqman and bioinformatic tools. The genes chosen were either known to be associated with Barrett's carcinogenesis or were filtered from a previous cDNA microarray study on Barrett's adenocarcinoma. A total of 98 tissues, obtained from 19 patients with Barrett's esophagus (BE group) and 20 patients with Barrett's associated esophageal adenocarcinoma (EA group), were studied. Triplicate analysis for the full 23 gene of interest panel, and analysis of an internal control gene, was performed for all samples, for a total of more than 9016 single PCR reactions. We found distinct classes of gene expression patterns in the different types of tissues. The most informative genes clustered in six different classes and had significantly different expression levels in Barrett's esophagus tissues compared to adenocarcinoma tissues. Linear discriminant analysis (LDA) distinguished four genetically different groups. The normal squamous esophagus tissues from patients with BE or EA were not distinguishable from one another, but Barrett's esophagus tissues could be distinguished from adenocarcinoma tissues. Using the most informative genes, obtained from a logistic regression analysis, we were able to completely distinguish between benign Barrett's and Barrett's adenocarcinomas. This study provides the first non-array parallel mRNA quantitation analysis of a panel of genes in the Barrett's esophagus model of multistage carcinogenesis. Our results suggest that mRNA expression quantitation of a panel of genes can discriminate between premalignant and malignant Barrett's disease. Logistic regression and LDAs can be used to further identify, from the complete panel, gene subsets with the power to make these diagnostic distinctions. Expression analysis of a limited number of highly selected genes may have clinical usefulness for the treatment of patients with this disease.

A role for c-Myc in the regulation of ribosomal RNA processing.

The proto-oncogene c-myc encodes a basic helix-loop-helix leucine zipper transcription factor (c-Myc) that has a profound role in growth control and cell cycle progression. Previous microarray studies identified various classes of c-Myc target genes, including genes involved in ribosome biogenesis. By screening the human B-cell line P493-6 and rat fibroblasts conditionally expressing c-Myc, we could substantially extend the list of c-Myc target genes, particularly those required for ribosome biogenesis. The identification of 38 new c-Myc target genes with nucleolar function, prompted us to investigate processing of ribosomal RNA (rRNA). Using pulse-chase labelling experiments we show that c-Myc regulates the efficiency of rRNA maturation. In serum-stimulated P493-6 cells, only the processing of the 47S rRNA precursor to mature 18S and 28S rRNA, but not the synthesis of the 47S transcript, was dependent on the presence of c-Myc. As processing of rRNA is sensitive to inhibition of cyclin-dependent kinase (cdk) activity by roscovitine, we conclude that c-Myc regulates cell growth and proliferation by the coordinated induction of cdk activity and rRNA processing.

Genome diversification in Staphylococcus aureus: Molecular evolution of a highly variable chromosomal region encoding the Staphylococcal exotoxin-like family of proteins.

Recent genomic studies have revealed extensive variation in natural populations of many pathogenic bacteria. However, the evolutionary processes which contribute to much of this variation remain unclear. A previous whole-genome DNA microarray study identified variation at a large chromosomal region (RD13) of Staphylococcus aureus which encodes a family of proteins with homology to staphylococcal and streptococcal superantigens, designated staphylococcal exotoxin-like (SET) proteins. In the present study, RD13 was found in all 63 S. aureus isolates of divergent clonal, geographic, and disease origins but contained a high level of variation in gene content in different strains. A central variable region which contained from 6 to 10 different set genes, depending on the strain, was identified, and DNA sequence analysis suggests that horizontal gene transfer and recombination have contributed to the diversification of RD13. Phylogenetic analysis based on the RD13 DNA sequence of 18 strains suggested that loss of various set genes has occurred independently several times, in separate lineages of pathogenic S. aureus, providing a model to explain the molecular variation of RD13 in extant strains. In spite of multiple episodes of set deletion, analysis of the ratio of silent substitutions in set genes to amino acid replacements in their products suggests that purifying selection (selective constraint) is acting to maintain SET function. Further, concurrent transcription in vitro of six of the seven set genes in strain COL was detected, indicating that the expression of set genes has been maintained in contemporary strains, and Western immunoblot analysis indicated that multiple SET proteins are expressed during the course of human infections. Overall, we have shown that the chromosomal region RD13 has diversified extensively through episodes of gene deletion and recombination. The coexpression of many set genes and the production of multiple SET proteins during human infection suggests an important role in host-pathogen interactions.

Prognostic value of MUC4 for mass-forming intrahepatic cholangiocarcinoma after hepatectomy

Cholangiocarcinoma (CCA), a lethal malignancy afflicting many thousands of patients throughout the world, develops through a multi-step progression. We have established an oral thioacetamide-induced model of rat CCA recapitulating the histologic progression of human CCA, especially for mass-forming CCA (MF-CCA). Our previous DNA microarray study showed MUC4 is overexpressed in rat CCA. Herein, we investigated the prognostic value of MUC4 for predicting overall survival rate (OS) for MF-CCA patients undergoing hepatectomy. Overexpression of MUC4 in rat CCA is demonstrated by RT-PCR. From the archives of Chang Gung Memorial Hospital, 53 MF-CCA patients undergoing hepatectomy were selected for an immunohistochemical study of MUC4. Fifteen clinicopathological variables (including MUC4 staining status) were used for survival analysis. MUC 4 is overexpressed in rat CCA. Fifty-three MF-CCA patients, 26 men and 27 women, with a median age of 60 years (range: 29-89) were studied. During the median follow-up duration of 14.7 months, the OS rates at 1, 3, and 5 years were 58.8, 25.5, and 16.5%, respectively. Univariate analysis showed that an absence of physical findings, better nutritional status, small tumor size, negative lymph node metastasis, an absence of MUC4 staining, and curative hepatic resection were associated with favorable OS rate for MF-CCA patients after hepatectomy. However, multivariate Cox proportional hazard analysis showed that an absence of MUC4 staining, small tumor size, and curative hepatectomy independently predicted MF-CCA patients with favorable OS rate after hepatectomy. In conclusion, an absence of MUC4 staining, small tumor size, and curative hepatectomy could independently predict MF-CCA patients with favorable OS rate after hepatectomy.

1423. A bl—dy useful exercise

The general aim of the present study is to discriminate between mouse genotoxic and non-genotoxic hepatocarcinogens via selected gene expression patterns in the liver as analyzed by quantitative real-time PCR (qPCR) and statistical analysis. qPCR was conducted on liver samples from groups of 5 male, 9-week-old B6C3F1 mice, at 4 and 48 h following a single intraperitoneal administration of chemicals. We quantified 35 genes selected from our previous DNA microarray studies using 12 different chemicals: 8 genotoxic hepatocarcinogens (2-acetylaminofluorene, 2,4-diaminotoluene, diisopropanolnitrosamine, 4-dimethylaminoazobenzene, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone, N-nitrosomorpholine, quinoline and urethane) and 4 non-genotoxic hepatocarcinogens (1,4-dichlorobenzene, dichlorodiphenyltrichloroethane, di(2-ethylhexyl)phthalate and furan). A considerable number of genes exhibited significant changes in their gene expression ratios (experimental group/control group) analyzed statistically by the Dunnett's test and Welch's t-test. Finally, we distinguished between the genotoxic and non-genotoxic hepatocarcinogens by statistical analysis using principal component analysis (PCA) of the gene expression profiles for 7 genes (Btg2, Ccnf, Ccng1, Lpr1, Mbd1, Phlda3 and Tubb2c) at 4 h and for 12 genes (Aen, Bax, Btg2, Ccnf, Ccng1, Cdkn1a, Gdf15, Lrp1, Mbd1, Phlda3, Plk2 and Tubb2c) at 48 h. Seven major biological processes were extracted from the gene ontology analysis: apoptosis, the cell cycle, cell proliferation, DNA damage, DNA repair, oncogenes and tumor suppression. The major, biologically relevant gene pathway suggested was the DNA damage response pathway, resulting from signal transduction by a p53-class mediator leading to the induction of apoptosis. Eight genes (Aen, Bax, Btg2, Ccng1, Cdkn1a, Gdf15, Phlda3 and Plk2) that are directly associated with Trp53 contributed to the PCA. The current findings demonstrate a successful discrimination between genotoxic and non-genotoxic hepatocarcinogens, using qPCR and PCA, on 12 genes associated with a Trp53-mediated signaling pathway for DNA damage response at 4 and 48 h after a single administration of chemicals.