Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound   Target Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound

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Query: EC:2.7.10.1 (ERK)
95,504 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Common fragile sites predispose to specific chromosomal breakage associated with deletion, amplification, and/or translocation in certain forms of cancer. Chromosomal fragile sites not only are susceptible to DNA instability in cancer cells, but may also be associated with genes that contribute to the neoplastic process. FRA7G is a common fragile site containing the candidate tumor suppressor genes CAV1, CAV2, and TESTIN (TES). The human gastric cancer cell line GTL-16 has an amplification of this genomic region and was used to seek evidence for the suppressor candidacy of one of these genes. Our results demonstrate that CAV1, CAV2, and TESTIN are coamplified with the MET oncogene and overexpressed in GTL-16. Somatic mutation was not detected in the coding regions of these genes, although they were each overexpressed. The results show that CAV1, CAV2, and TESTIN are not tumor suppressor genes in this gastric cancer.
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PMID:Candidate tumor suppressor genes at FRA7G are coamplified with MET and do not suppress malignancy in a gastric cancer. 1262 Mar 87

Hybridization with cDNA arrays was used to obtain expression profiles of 263 protein-tyrosine kinase (PTK), protein-tyrosine phosphatase (PTP), dual-specific phosphatase (DuSP), and other genes for the normal prostate tissue, primary prostate carcinomas (PC) of 84 patients, 7 xenografts, and 5 carcinoma cell lines. Analysis of 96 profiles revealed eight clusters of genes coexpressed in PC (coefficient of correlation r > 0.7). According to the known functions of their genes, the clusters were designated as proliferating-cell (CDC42, TOP2A, FGFR3, MYC, etc.), neoangiogenesis and blood-cell (LCK, VAV1, KDR, VEGF, MMP9, SYK, PTPRS, and FLT4), invasion-1 and invasion-2 (ADAM17, TRPM2, DUSP6, VIM, CAV1, CAV2, JAK1, PTPNS1, FYN, and PDGFB), HER2, and PSA/PSM/HER3. Basing on expression profiles of 66 genes, a molecular classification of PC was constructed and allowed discrimination between PC and cell lines or xenografts at 98.9% probability. The results suggested that, along with PSA, PSM (FOLH1), kallikrein-2, and a-2-macroglobulin, cell signaling genes EGFR, HER2, HER3, TOP2, KRT8, KRT18, VEGF, CD44, VIM, CAV1, and CAV2 may serve as diagnostic and prognostic markers in PC. The HER2, VEGF, and CD44 genes and the MMP and ADAM families were assumed to be promising targets for inhibitors of PC cell proliferation and metastasis.
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PMID:[Gene expression profiles of protein kinases and phosphatases obtained by hybridization with cDNA arrays: molecular portrait of human prostate carcinoma]. 1262 52

Loss of heterozygosity (LOH) on chromosome arm 7q31 is found in many prostate tumors. Such alterations are generally associated with inactivation of tumor suppressor genes. It has been shown previously that the main region of LOH at 7q31 spans the interval between the D7S486 and D7S2460 microsatellite loci, which contains several candidate tumor suppressor genes (TSG) such as TES, CAV2, CAV1, MET, CAPZA2, ST7 and WNT2. We tested 41 human sporadic prostate tumors for 7q31 LOH by using 5 polymorphic markers overlapping the critical region and used a real-time reverse transcriptase-polymerase chain reaction (RT-PCR) assay to study the expression of the 7 candidate TSGs located in this genomic region. We found that CAV1, CAV2, MET and TES mRNA expression was lower in prostate tumors than in normal prostate tissues. Our immunohistochemical results and previously published data on the compartmental expression of these messenger RNAs in stromal and epithelial cells suggest that TES is the best candidate tumor suppressor gene at 7q31.
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PMID:Extensive analysis of the 7q31 region in human prostate tumors supports TES as the best candidate tumor suppressor gene. 1525 54

Caveolin-1 and -2 (CAV1, CAV2) are closely linked genes localised to the fragile region of 7q31 (FRA7G), and loss of heterozygosity involving this region has been reported in breast cancer. Several studies have suggested that CAV1 is a negative regulator of HER2/neu signal transduction in vitro. However, the clinical significance of CAV1 in breast cancer has not yet been clarified. We examined quantitatively the mRNA levels of CAV1, CAV2 and HER2/neu in 162 cases of breast cancer using real-time PCR. Caveolin-1 and -2 protein expression was also examined by Western blotting and immunohistochemistry. We then evaluated for correlations between CAV1, CAV2 and HER2/neu gene expression and clinicopathologic factors in the 162 breast cancer cases. Results showed higher HER2/neu mRMA levels and lower CAV1 and CAV2 mRMA levels in breast cancer tissues than in corresponding normal tissues (P<0.001). Caveolin-1 and -2 protein expression levels were also suppressed in cancer tissues compared to normal tissues by Western blotting. Immunohistochemistry revealed that CAV1 and CAV2 proteins were abundantly expressed in mammary gland myoepithelial cells, but only weakly in ductalepithelial cells. Reduced CAV1 mRNA level was significantly associated with increasing tumour size (P=0.041), and negative oestrogen receptor status (P=0.021). There was also a significant association between low CAV2 mRNA level and negative progesterone receptor status (P=0.013), and between high HER2/neu mRNA level and negative hormonal receptor status (ER, P=0.029, PgR, P=0.019). While there was no relationship between HER2/neu and CAV1 mRNA levels, a significant association between CAV1 and CAV2 mRNA levels was observed (P<0.001). Our results indicated that CAV1 suppression correlated closely with that of CAV2 in breast cancer, that CAV1 level was inversely correlated with tumour size, and that CAV1 and CAV2 levels were correlated with hormonal receptor status. Therefore, CAV1 and CAV2 play an important role in tumour progression in breast cancer patients.
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PMID:Clinical significance of Caveolin-1, Caveolin-2 and HER2/neu mRNA expression in human breast cancer. 1530

Publicly available human genomic sequence data provide an unprecedented opportunity for researchers to decode the functionality of human genome. Such information is extremely valuable in cancer prevention diagnosis and treatment. Cancer Genome Anatomy Project (CGAP) and Gene Expression Omnibus (GEO) are two bioinformatic infrastructures for studying functional genomics. The goal of this study is to explore the feasibility of incorporating the Internet-available bioinformatic databases to discover human breast cancer-related genes. Several tools including the Gene Finder, Virtual Northern (vNorthern) and SAGE digital gene expression displayer (DGED) were used to analyze differential gene expression between benign and malignant breast tissues. A pilot study was performed using both EST and SAGE vNorthern to analyze the expression of a panel of known genes, including high abundance genes beta-actin and G3PDH, low abundance genes BRCA1 and p53, tissue-specific genes CEA and PSA and two breast cancer-related genes Her2/neu and MUC1. We found a high expression of beta-actin and G3PDH and a low expression of BRCA1 and p53 across different types of tissues as well as a tissue-specific expression of CEA in colon and PSA in prostate. A further analysis of 30 known breast cancer-related genes in breast cancer tissues by vNorthern demonstrated a high expression of oncogenes and low expression of tumor suppressor genes. An open-end analysis of two pools of breast cancer and benign breast tissue libraries by SAGE DGED produced 53 differentially expressed genes according to the screening criteria of a >five-fold difference and p<0.01. Further analysis by EST vNorthern and virtual microarray analysis reduced the candidate genes to six, with four down-regulated genes, ANXA1, CAV1, KRT5 and MMP7, and two up-regulated genes, ERBB2 and G1P3 in breast cancer. These findings were validated by a real-time RT-PCR analysis in eight paired human breast cancer tissue samples. We conclude that the combined multiple high throughput analyses is an effective data mining strategy in cancer gene identification. This approach may improve the usage of public available genomic data through strategic data mining of high throughput analysis.
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PMID:In silico identification of breast cancer genes by combined multiple high throughput analyses. 1564 32

A better molecular characterization of breast cell lines (BCL) may help discover new markers to apply to tumour samples. We performed gene and protein expression profiling of 31 BCL using whole-genome DNA microarrays and immunohistochemistry (IHC) on 'cell microarrays' (CMA), respectively. Global hierarchical clustering discriminated two groups of BCL: group I corresponded to luminal cell lines, group II to basal and mesenchymal cell lines. Correlations with centroids calculated from a published 'intrinsic 500-gene set' assigned 15 cell lines as luminal, eight as basal and four as mesenchymal. A set of 1.233 genes was differentially expressed between basal and luminal samples. Mesenchymal and basal subtypes were rather similar and discriminated by only 227 genes. The expression of 10 proteins (CAV1, CD44, EGFR, MET, ETS1, GATA3, luminal cytokeratin CK19, basal cytokeratin CK5/6, CD10, and ERM protein moesin) encoded by luminal vs basal discriminator genes confirmed the subtype classification and the validity of the identified markers. Our BCL basal/luminal signature correctly re-classified the published series of tumour samples that originally served to identify the molecular subtypes, suggesting that the identified markers should be useful for tumour classification and might represent promising targets for disease management.
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PMID:Gene expression profiling of breast cell lines identifies potential new basal markers. 1628 5

Basal breast cancers (BBCs) have a high risk of metastasis, recurrence and death. Formal subtype definition relies on gene expression but can be approximated by protein expression. New markers are needed to help in the management of the basal subtype of breast cancer. In a previous transcriptional analysis of breast cell lines we found that Moesin expression was a potential basal marker. We show here that Moesin protein expression is a basal marker in breast tumors. In a tissue microarray (TMA) containing 547 sporadic breast cancers, of which 108 were profiled for gene expression, Moesin was expressed in 31% of all tumors and in 82% of the basal tumors. To confirm that Moesin expression remained associated with the basal phenotype in specific types of BBCs, we analyzed Moesin expression in 2 other TMAs containing 40 medullary breast cancers (MBCs) and 27 BRCA1-associated breast cancers (BRCA1-BCs), respectively. Moesin was strongly expressed in MBCs (87%; p = 2.4 x 10(-5)) and in BRCA1-BCs (58%; p = 1.3 x 10(-5)) as compared with non-MBCs and sporadic cases. Moesin-expressing tumors display features of BBCs, such as high proliferation rate, hormone receptors negativity, expression of putative basal/myoepithelial markers (CAV1, CD10, CK5/6, CK14, EGFR, P53, P-cadherin and SMA). Survival analysis showed a reduced specific survival and metastasis-free survival in Moesin-expressing tumors by log-rank test (p(SS) = 0.014 and p(MFS) = 0.014). In multivariate analysis, Moesin expression was nearly an independent prognostic marker of poor outcome as shown by Cox proportional hazard model in patients without lymph node metastasis (p = 0.052, HR = 2.38, CI 95[0.99-5.69]).
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PMID:Moesin expression is a marker of basal breast carcinomas. 1759 89

Type 2 diabetes mellitus (T2D) is a multifactorial and genetically heterogeneous disease which leads to impaired glucose homeostasis and insulin resistance. The advanced form of disease causes acute cardiovascular, renal, neurological and microvascular complications. Thus there is a constant need to discover new and efficient treatment against the disease by seeking to uncover various novel alternate signalling mechanisms that can lead to diabetes and its associated complications. The present study allows detection of molecular targets by unravelling their role in altered biological pathways during diabetes and its associated risk factors and complications. We have used an integrated functional networks concept by merging co-expression network and interaction network to detect the transcriptionally altered pathways and regulations involved in the disease. Our analysis reports four novel significant networks which could lead to the development of diabetes and other associated dysfunctions. (a) The first network illustrates the up regulation of TGFBRII facilitating oxidative stress and causing the expression of early transcription genes via MAPK pathway leading to cardiovascular and kidney related complications. (b) The second network demonstrates novel interactions between GAPDH and inflammatory and proliferation candidate genes i.e., SUMO4 and EGFR indicating a new link between obesity and diabetes. (c) The third network portrays unique interactions PTPN1 with EGFR and CAV1 which could lead to an impaired vascular function in diabetic nephropathy condition. (d) Lastly, from our fourth network we have inferred that the interaction of beta-catenin with CDH5 and TGFBR1 through Smad molecules could contribute to endothelial dysfunction. A probability of emergence of kidney complication might be suggested in T2D condition. An experimental investigation on this aspect may further provide more decisive observation in drug target identification and better understanding of the pathophysiology of T2D and its complications.
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PMID:Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications. 1999 58

The anti-epidermal growth factor receptor antibody cetuximab (Erbitux, CTX) is currently used for the treatment of locally advanced squamous cell carcinoma of the head and neck (LA-SCCHN), as yet with modest effectiveness, prompting for the identification of response predictors to this treatment and for the targeting of additional pathways implicated in this disease. Within this scope, we investigated the effect of SRC/STAT pathway components on LA-SCCHN patient outcome. SRC, STAT1, STAT3, STAT5A, STAT5B, ANXA1, CAV1, IGFBP2, EPHA2, EPHB2, and MSN relative gene expression, as well as Stat protein activation, were assessed on LA-SCCHN tumor tissues from 35 patients treated with combined radiotherapy (RT) and CTX-based regimens. Stat1, Stat3, and Stat5 proteins were usually found activated in neoplastic nuclei (70.4%, 85.7%, and 70.8%, respectively). Activated Stat3 and Stat5 were associated with each other (P = .017) and with a CAV1(high)/MSN(high)/IGFBP2(low) profile. All patients with tumors expressing high STAT5A/EPHA2 experienced a complete response on RT-CTX-based treatments (12/15 complete responders, P < .0001) and a longer progression-free survival (P = .024). Few tumors expressed high ANXA1/CAV1/EPHA2 and low IGFBP2, a putative dasatinib response-related profile, whereas high ANXA1 was associated with shorter overall survival (P = .003). In conclusion, Stat activation is common in LA-SCCHN, where overexpression of STAT5A and EPHA2 may predict for response to RT-CTX treatments. The STAT5A/EPHA2 profile seems of particular interest for validation in larger cohorts and in multiple tumor types because markers for the positive selection of patients to benefit from CTX-containing treatments are currently lacking.
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PMID:STAT-Related Profiles Are Associated with Patient Response to Targeted Treatments in Locally Advanced SCCHN. 2128 77

Solid tumours need to induce their own vascular supply, and microvessel density (MVD) has emerged as a prognostic factor in several tumours. We hypothesized that mRNA levels of some endothelial factors in prostate cancer tissue would correlate with histologically measured MVD, or other pathological parameters. Expression levels of the endothelial factors CD31, CD34, CD105, CD144, CD146, CAV1 and VEGFR2 were assessed by RT-qPCR in matched freshly frozen normal and tumour tissues from 69 patients that underwent radical prostatectomy. The results were compared to pathological parameters and the MVD in the corresponding paraffin-embedded material, as determined by immunohistochemistry against CD31 and CD34. Comparing mRNA expression in matched normal and tumour samples, only CAV1 showed relevant differences, being down-regulated in tumour tissues (fold change=-1.89, P<0.0001). CAV1 down-regulation correlated with pT category (P=0.006) and the Gleason score (P=0.041). In a univariate analysis, lower CAV1 mRNA expression was associated with biochemical recurrence (P=0.019). By immunohistochemistry, CAV1 was mainly localized in endothelial and stromal cells and showed a weaker staining pattern in the tumour compared to normal tissue. Furthermore, MVD significantly correlated with tumour grade and pT category. There was no significant association between endothelial mRNA expression and histologically determined MVD in tumour tissues, but only a trend for CD31 mRNA (P=0.074) and an inverse trend for CAV1 mRNA (P=0.056). In conclusion, there is only a weak correlation between the mRNA expression of endothelial factors and MVD in prostatic tumour tissue. However, loss of CAV1 mRNA expression may play a role in prostate cancer progression.
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PMID:Expression of endothelial factors in prostate cancer: a possible role of caveolin-1 for tumour progression. 2207 71


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