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Development of a tissue array for primary melanoma with long-term follow-up: discovering melanoma cell adhesion molecule as an important prognostic marker.

Refining current prognostic capability is essential for improving the management of melanoma. This study was undertaken to develop a tumor array for the rapid assessment of novel prognostic markers in a series of specimens from melanoma patients with 7- to 10-year follow-up. A melanoma database of 120 patients with archival specimens was created after histopathological review of original specimens. A tissue array was developed allowing 480 biopsy samples from the 120 primary melanoma specimens to be embedded into a single paraffin block. This was sectioned and stained for the adhesion marker melanoma cell adhesion molecule (MCAM); after further review, 76 of the 120 specimens were suitable for further analysis. The slides were assessed by two independent observers without previous knowledge of the clinical outcome for staining positivity and stain intensity. Assessment of association between MCAM and clinicopathological features was carried out using chi-squared analysis, and univariate and Cox multivariate analyses were performed on the data. There was a high correlation between MCAM intensity and both Clark's level and Breslow thickness (Spearman correlation p < 0.001 for both). The data revealed that MACM was a highly specific prognostic marker for survival in univariate analysis (chi2 = 18, p < 0.0001). Subgroup analysis by stratification of the staining intensity revealed a sequentially worsening survival with increasing staining intensity (chi2 = 22.33, p < 0.0001). Multivariate analysis of survival showed MCAM to be an independent prognostic marker more accurate than all other clinicopathological parameters (p < 0.0001), including the Breslow depth. Further analysis within only intermediate-thickness tumors showed MCAM intensity added further refinement to outcome prediction (chi2 = 22.33, p < 0.0001). The tissue array provided a rapid method of analyzing up to 480 specimens within a single paraffin block. This will benefit many areas of plastic surgery research. The identification of adhesion markers revealed a valuable prognostic marker for predicting outcome and a potential target for therapeutic manipulation.

Adult↗

A gene encoding a family with sequence similarity 84, member A (FAM84A) enhanced migration of human colon cancer cells.

Using genome-wide cDNA microarray analysis, we identified a number of genes whose expression was up-regulated frequently in colorectal cancer. One of these was a gene termed FAM84A that was not expressed in any of the 23 normal tissues examined except the testis. Although immuno-cytochemical staining revealed localization of FAM84A protein in the subcellular membrane region, the staining was limited to the region lacking attachment with neighboring cells. In addition, we found that exogenous FAM84A expression increased cell motility in NIH3T3 cells, and that phosphorylation of serine 38 of FAM84A was associated with morphology of cells. Our results indicate a possibility that up-regulation of FAM84A plays a critical role in progression of colon cancer.

Animals↗

Clinical proteomics: new trends for protein microarrays.

Protein microarrays are an emerging class of nanotechnology for tracking many different proteins simultaneously. Much progress has been made for applications in basic sciences. Translation of these methods for the treatment of patients, however, is slow, because the realities in the clinic are rarely taken into account, and proteomic changes in cultured cell lines might not fully reflect human diseases due to the lack of the tissue microenvironment. In this review, we summarise current protein microarray approaches that are being developed for profiling tissues and histopathologically defined cell populations from cancer patients. We provide an overview of clinical applications for protein lysate microarrays and discuss the power of this technology for the discovery of disease markers for cancer diagnosis and individualised treatment.

Cell Line, Tumor↗

Use of high-throughput protein array for profiling of differentially expressed proteins in normal and malignant breast tissue.

cDNA arrays provide a powerful tool to identify gene expression pattern that are potentially associated with tumor invasion and metastasis. However, genes work at the protein level and, since the transcriptional activity of a gene does not necessarily reflect cellular protein expression, the identification and quantification of proteins is essential for the understanding of molecular events leading to malignant transformation. We have therefore employed a high-throughput protein microarray system which contains 378 well-characterized monoclonal antibodies in order to compare the gene expression pattern of malignant and adjacent normal breast tissue in a patient with primary breast cancer. Using this technique, we have identified a number of proteins that show increased expression levels in malignant breast tissues such as casein kinase Ie, p53, annexin XI, CDC25C, eIF-4E and MAP kinase 7. The expression of other proteins, such as the multifunctional regulator 14-3-3e was found to be decreased in malignant breast tissue, whereas the majority of proteins remained unchanged when compared to the corresponding non-malignant samples. The protein expression pattern was confirmed by immunohistochemistry, in which antibodies against 8 representative proteins known to be involved in carcinogenesis were employed in paraffin-embedded normal and malignant tissue sections deriving from the same patient. In each case, the results obtained by IHC matched the data obtained by antibody microarray system. Taken together, we have described for the first time a tumor cell specificity protein expression pattern by use of a novel commercially available antibody microarray system. We have thus demonstrated the feasibility of high-throughput protein arrays in the proteomic analysis of human breast tissue. We hypothesize that the use of protein arrays will not only increase our understanding of the molecular events, but could prove useful in evaluating prognosis and in determining optimal antineoplastic therapy.

Antibodies, Monoclonal↗

Shift of syndecan-1 expression from epithelial to stromal cells during progression of solid tumours.

Syndecan-1 (SDC-1), a protein found on cells and in the extracellular matrix, participates in cell proliferation, cell migration and cell-matrix interactions. SDC-1 expression correlates with the maintenance of epithelial morphology and inhibition of invasiveness. In the present study, a second SDC-1 mRNA isoform was identified and the expression of both transcripts was investigated in various normal and malignant tissues. Both transcripts were coexpressed at equal levels in all tissues and organs analysed. Cancer-profiling array (CPA) analysis of 241 non-enriched tumour and normal cDNAs revealed stronger upregulation of SDC-1 in tumour tissues as compared with oligonucleotide array-based expression analysis of SDC-1 in microdissected breast, prostate, lung, and colon carcinoma cells. With in situ hybridisation and immunohistochemistry it was demonstrated that this difference in SDC-1 expression originates from stromal cells present in tumour connective tissue. But only the cells in connective tissue surrounding breast, lung, colon and bladder carcinoma showed upregulation of SDC-1. These stromal cells were characterised as spindle cells with myofibroblastic differentiation and they may contribute to the dedifferentiation of tumour cells and the development of metastasis.

Breast Neoplasms↗

Tissue microarray technology for high-throughput molecular profiling of cancer.

Tissue microarray (TMA) technology allows rapid visualization of molecular targets in thousands of tissue specimens at a time, either at the DNA, RNA or protein level. The technique facilitates rapid translation of molecular discoveries to clinical applications. By revealing the cellular localization, prevalence and clinical significance of candidate genes, TMAs are ideally suitable for genomics-based diagnostic and drug target discovery. TMAs have a number of advantages compared with conventional techniques. The speed of molecular analyses is increased by more than 100-fold, precious tissues are not destroyed and a very large number of molecular targets can be analyzed from consecutive TMA sections. The ability to study archival tissue specimens is an important advantage as such specimens are usually not applicable in other high-throughput genomic and proteomic surveys. Construction and analysis of TMAs can be automated, increasing the throughput even further. Most of the applications of the TMA technology have come from the field of cancer research. Examples include analysis of the frequency of molecular alterations in large tumor materials, exploration of tumor progression, identification of predictive or prognostic factors and validation of newly discovered genes as diagnostic and therapeutic targets.

Animals↗

Apo D in soft tissue tumors: a novel marker for dermatofibrosarcoma protuberans.

Using gene microarray expression profiling, we previously found that apolipoprotein D (Apo D) was highly expressed in dermatofibrosarcoma protuberans (DFSP). In this study, we confirm that Apo D is highly and relatively specifically expressed in DFSP using immunohistochemistry. A tissue microarray containing 421 soft tissue tumors was constructed and stained with antibodies against Apo D and CD34. Cytoplasmic immunostaining for Apo D was found in 9 of 10 typical DFSPs. In addition, 3 of 3 Bednar tumors and 2 of 3 giant cell fibroblastomas stained in conventional sections. In contrast, Apo D was immunoreactive in only a very small subset of a diverse collection of other soft tissue tumors, including Malignant Fibrous Histiocytoma (MFH), glomus tumor, neurofibroma, and malignant peripheral nerve sheath tumors. Immunostains for Apo D were negative in conventional sections of 16 fibrous histiocytomas, and an additional 12 variants of fibrous histiocytoma. Digital images of all immunohistochemical and hematoxylin and eosin tissue microarray stains are available at the accompanying website (http://microarray-pubs.stanford.edu/tma_portal/apod/). We conclude that Apo D is strongly expressed in DFSPs and neural lesions and may be useful in differentiating DFSP from fibrous histiocytoma.

Antigens, CD34↗

[Gene expression of MMP1 and TIMP1 in lung cancer detected with a cDNA microarray technique].

OBJECTIVE: To investigate the gene expression of matrix metalloproteinases 1 (MMP1) and tissue inhibitors of matrix metalloprotainases 1(TIMP1) in squmas cell lung cancer and adenocarcinoma. METHODS: Gene expression profile cDNA microarray egntaining 4,096 genes was used to identify differentially expressed genes in squmas cell lung cancer and adenocarcinoma, and to analyze the gene expression of MMP1 and TIMP1. RESULTS: Gene MMP1 and TIMP1 were differentially expressed in both squmas cell lung cancer and adenocarcinoma, and both of them were up-regulated. CONCLUSION: MMP1 and TIMP1 may be important molecular markers of squmas cell lung cancer and adenocarcinoma.

Adenocarcinoma↗

Feature (gene) selection in gene expression-based tumor classification.

There is increasing interest in changing the emphasis of tumor classification from morphologic to molecular. Gene expression profiles may offer more information than morphology and provide an alternative to morphology-based tumor classification systems. Gene selection involves a search for gene subsets that are able to discriminate tumor tissue from normal tissue, and may have either clear biological interpretation or some implication in the molecular mechanism of the tumorigenesis. Gene selection is a fundamental issue in gene expression-based tumor classification. In the formation of a discriminant rule, the number of genes is large relative to the number of tissue samples. Too many genes can harm the performance of the tumor classification system and increase the cost as well. In this report, we discuss criteria and illustrate techniques for reducing the number of genes and selecting an optimal (or near optimal) subset of genes from an initial set of genes for tumor classification. The practical advantages of gene selection over other methods of reducing the dimensionality (e.g., principal components), include its simplicity, future cost savings, and higher likelihood of being adopted in a clinical setting. We analyze the expression profiles of 2000 genes in 22 normal and 40 colon tumor tissues, 5776 sequences in 14 human mammary epithelial cells and 13 breast tumors, and 6817 genes in 47 acute lymphoblastic leukemia and 25 acute myeloid leukemia samples. Through these three examples, we show that using 2 or 3 genes can achieve more than 90% accuracy of classification. This result implies that after initial investigation of tumor classification using microarrays, a small number of selected genes may be used as biomarkers for tumor classification, or may have some relevance in tumor development and serve as a potential drug target. In this report we also show that stepwise Fisher's linear discriminant function is a practicable method for gene expression-based tumor classification.

Humans↗

A microarray study to characterize the molecular mechanism of TIMP-3-mediated tumor rejection.

Glial cell invasion is a multistep cellular process that involves a complex system of tightly regulated proteases (matrix metalloproteinases; MMPs) and their endogenous inhibitors (tissue inhibitors of metalloproteinases; TIMPs) to mediate the degradation of the basement membrane and extracellular matrix. Tissue inhibitor of metalloproteinases-3 (TIMP-3) is a matrix-bound inhibitor of MMPs. In the present study, we have overexpressed the TIMP3 gene in human glioma cells with a herpes simplex virus type 1 amplicon-based vector. Oligonucleotide DNA arrays were employed to identify genes that were differentially modulated by the overexpression of TIMP-3. Consistent with the function of TIMP-3, genes associated with angiogenesis, growth factors, cytokines, death receptors, and substrates of the various MMPs were found to be up-regulated. Furthermore, caspases are important in the signaling pathway of cellular apoptosis, and the overexpression of TIMP-3 in glioma cells is tightly associated with the activation of caspases, including caspase-1, at both the mRNA level (P=0.0371) and the protein level. Moreover, the activation of an apoptotic pathway via the overexpression of TIMP-3 induced apoptosis of transduced human glioma cells in vitro and the growth inhibition of human glioma tumor xenografts in immunodeficient mice.

ADAM Proteins↗

Conservation and coevolution in the scale-free human gene coexpression network.

The role of natural selection in biology is well appreciated. Recently, however, a critical role for physical principles of network self-organization in biological systems has been revealed. Here, we employ a systems level view of genome-scale sequence and expression data to examine the interplay between these two sources of order, natural selection and physical self-organization, in the evolution of human gene regulation. The topology of a human gene coexpression network, derived from tissue-specific expression profiles, shows scale-free properties that imply evolutionary self-organization via preferential node attachment. Genes with numerous coexpressed partners (the hubs of the coexpression network) evolve more slowly on average than genes with fewer coexpressed partners, and genes that are coexpressed show similar rates of evolution. Thus, the strength of selective constraints on gene sequences is affected by the topology of the gene coexpression network. This connection is strong for the coding regions and 3' untranslated regions (UTRs), but the 5' UTRs appear to evolve under a different regime. Surprisingly, we found no connection between the rate of gene sequence divergence and the extent of gene expression profile divergence between human and mouse. This suggests that distinct modes of natural selection might govern sequence versus expression divergence, and we propose a model, based on rapid, adaptation-driven divergence and convergent evolution of gene expression patterns, for how natural selection could influence gene expression divergence.

3' Untranslated Regions↗

Analysis of protein tyrosine kinase expression in melanocytic lesions by tissue array.

BACKGROUND: It has been proposed that melanoma progression involves a multistep process from benign nevi (BN), dysplastic nevi (DN), radial and vertical growth phase melanoma (MM) to metastatic melanoma (MMM). Protein tyrosine kinases (PTKs) may participate in this progression. METHODS: Tissue microarray blocks of 89 melanocytic lesions were evaluated by immunohistochemistry for the expression of selected PTKs: c-kit, c-abl, abl-related gene (ARG), platelet-derived growth factor receptors alpha (PDGFR-alpha) and beta (PDGFR-beta). RESULTS: Seventeen of 31 (55%) MMM lacked expression of c-kit versus 100% expression (18/18) in DN and 96% expression (22/23) in MM; similarly, only 59% (10/17) of BN showed expression of c-kit. PDGFR-beta expression levels were similar in BN, DN, and MM, but lower in MMM. There was a trend toward lower expression of abl and ARG from BN to MMM. There was a marked decrease in staining intensity of ARG from BN to DN, MM, and MMM. CONCLUSION: Our results support that BN is different from DN and MM and that these two are different from MMM. Metastasis appears to be associated with loss of c-kit and PDGFR-beta expression. Since malignant melanoma expresses PTK, it may be a candidate for treatment with anti-PTK, such as STI-571 (Gleevec).

Cell Transformation, Neoplastic↗

Validation of tissue microarrays for immunohistochemical profiling of cancer specimens using the example of human fibroblastic tumors.

Tissue microarrays allow high-throughput molecular profiling of cancer specimens by immunohistochemistry. Phenotype information of sections from arrayed biopsies on a multitissue block needs to be representative of full sections, as protein expression varies throughout the entire tumor specimen. To validate the use of tissue microarrays for immunophenotyping, we studied a group of 59 fibroblastic tumors with variable protein expression patterns by immunohistochemistry for Ki-67, p53, and the retinoblastoma protein (pRB). Data on full tissue sections were compared to the results of one, two, and three 0.6-mm core biopsies per tumor on a tissue array. Ki-67 and p53 staining was read as two categories (positive or negative). Concordance for this staining between tissue arrays with triplicate cores per tumor and full sections were 96 and 98%, respectively. For pRB staining was read as three categories (high, moderate, or negative), where concordance was 91%. The use of three cores per tumor resulted in lower numbers of lost cases and lower nonconcordance with standard full sections as compared to one or two cores per tumor. Correlations between phenotypes and clinical outcome were not significantly different between full section and array-based analysis. Triplicate 0.6-mm core biopsies sampled on tissue arrays provide a reliable system for high-throughput expression profiling by immunohistochemistry when compared to standard full sections. Triplicate cores offer a higher rate of assessable cases and a lower rate of nonconcordant readings than one or two cores. Concordance of triplicate cores is high (96 to 98%) for two category distinction and decreases with the complexity of the phenotypes being analyzed (91%).

Adolescent↗

ANP and BNP but not VEGF are regionally overexpressed in ischemic human myocardium.

Angiogenic gene therapy in angina pectoris has been disappointing so far. Reasons might be that the administered genes already are overexpressed in ischemic myocardium, or that atrial and brain natriuretic peptides (ANP and BNP) are overexpressed, as they have anti-angiogenic effects. Five stable angina pectoris patients without heart failure were studied. Left ventricular biopsies were taken during coronary by-pass surgery from a region with stress-inducible ischemia and from a normal region. Both ANP and BNP but not vascular endothelial growth factor (VEGF) and VEGF-receptor 1 and 2 were overexpressed in ischemic regions compared to non-ischemic regions as measured by real-time PCR. The expression of 15 other angiogenic genes measured by oligonucleotide arrays was not consistently increased in ischemic regions. The overexpression of ANP and BNP suggests an anti-angiogenic effect in ischemic heart disease. The lack of overexpression of angiogenic genes supports the concept of therapeutic overexpression of these genes.

Aged↗

Characterization of the SCAN box encoding RAZ1 gene: analysis of cDNA transcripts, expression, and cellular localization.

The SCAN box (SRE-ZBP; CT-fin51; AW-1; Number 18) is a highly-conserved 80-amino-acid domain identified in a subset of C(2)H(2) zinc finger proteins. We and others have recently demonstrated that the SCAN box is a protein association domain that mediates hetero- and homo-protein associations with SCAN box containing proteins. RAZ1 (SCAN-related protein associated with MZF1B) is a novel gene identified in a yeast two hybrid genetic screen for binding to the MZF1B SCAN box. RAZ1 maps to chromosome 20q11 at a region frequently disrupted in various leukemias. We characterized the RAZ1 gene by analysing cDNA transcripts, mRNA expression, and cellular localization of the expressed protein. RAZ1 mRNA expression was detected in various human tissues and cell lines by Northern blot analysis and multiple tissue expression arrays. Highest levels of expression are in prostate, testis, thyroid, liver, and kidney. The RAZ1 gene produces two transcripts with variant 5'-untranslated regions containing identical open reading frames that express a 28 kDa protein in vitro. RAZ1 transcription start sites were mapped by primer extension and confirmed by identification of the RAZ1 promoter in the 5' flanking genomic DNA. RAZ1 protein fused to the green fluorescent protein (GFP) localizes to the nucleus in a diffuse pattern and the carboxyl terminus containing the SCAN-related domain is sufficient for nuclear localization. These data suggest that RAZ1 is a widely expressed nuclear protein that may function as a key regulator of zinc finger transcription factor function.

5' Flanking Region↗

Genome-wide gene-expression patterns of donor kidney biopsies distinguish primary allograft function.

Roughly 25% of cadaveric, but rarely living donor renal transplant recipients, develop postischemic acute renal failure, which is a main risk factor for reduced long-term allograft survival. An accurate prediction of recipients at risk for ARF is not possible on the basis of donor kidney morphology or donor/recipient demographics. We determined the genome-wide gene-expression pattern using cDNA microarrays in three groups of 36 donor kidney wedge biopsies: living donor kidneys with primary function, cadaveric donor kidneys with primary function and cadaveric donor kidneys with biopsy proven acute renal failure. The descriptive genes were characterized in gene ontology terms to determine their functional role. The validation of microarray experiments was performed by real-time PCR. We retrieved 132 genes after maxT adjustment for multiple testing that significantly separated living from cadaveric kidneys, and 48 genes that classified the donor kidneys according to their post-transplant course. The main functional roles of these genes are cell communication, apoptosis and inflammation. In particular, members of the complement cascade were activated in cadaveric, but not in living donor kidneys. Thus, suppression of inflammation in the cadaveric donor might be a cheap and promising intervention for postischemic acute renal failure.

Acute Kidney Injury↗

Identification and characterization of a novel gene encoding a SEREX antigen in chronic myeloid leukaemia.

The novel gene encoding Clone 4, previously isolated through the Serological screening of recombinant expression cDNA library (SEREX) in chronic myeloid leukaemia (CML), was characterized. It is localized to chromosome 7 at q22, occupies approximately 4.5 kb of DNA and comprises 4 exons. Three single nucleotide polymorphisms and a 13 base deletion/insertion polymorphism have been identified. The mRNA transcript was approximately 2.4 kb and contained a long 5'-untranslated region of almost 1 kb before the candidate open reading frame. Northern blot analysis and multiple tissue expression array indicated a restricted normal tissue distribution. Our findings provide a platform for future investigations into the role of the gene product in CML.

Antigens, Neoplasm↗

Cyr61, a deregulated gene in endometriosis.

Gene expression profiling was performed to identify genes involved in the development of endometriosis. In the secretory phase of the menstrual cycle, several estrogen-regulated genes were up-regulated in endometria of women with endometriosis. The most consistent regulation with one of the highest factors was observed for the Cyr61 gene, which codes for a secreted, cysteine-rich, heparin-binding protein that promotes cell adhesion, migration, and neovascularization. Estrogen responsiveness of endometrial Cyr61 expression was suggested by the higher expression during the proliferative phase and the reduction observed in human endometrial fragments grafted into nude mice subsequently treated with an anti-estrogen. The expression level of Cyr61 was found to be further increased in ectopic endometriotic lesions, as compared to eutopic endometria. In these lesions, an imbalance in expression of the estrogen-converting enzymes 17beta-hydroxysteroid dehydrogenase type 1 and 2 was found, which might explain the elevated Cyr61 level. However, Cyr61 expression was not altered in endometriotic lesions of women treated with a GnRH agonist. These results suggest that Cyr61 may represent a gene characteristic for endometriosis and also play an important role in the development and persistence of endometriotic lesions.

17-Hydroxysteroid Dehydrogenases↗