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)

The number of available breast cancer cell (BCC) lines is small, and only a very few of them have been extensively studied. Whether they are representative of the tumours from which they originated remains a matter of debate. Whether their diversity mirrors the well-known inter-tumoural heterogeneity is another essential question. While numerous similarities have long been found between cell lines and tumours, recent technical advances, including the use of micro-arrays and comparative genetic analysis, have brought new data to the discussion. This paper presents most of the BCC lines that have been described in some detail to date. It evaluates the accuracy of the few of them widely used (MCF-7, T-47D, BT-474, SK-BR-3, MDA-MB-231, Hs578T) as tumour models. It is concluded that BCC lines are likely to reflect, to a large extent, the features of cancer cells in vivo. The importance of oestrogen receptor-alpha (gene ESR1 ) and Her-2/ neu ( ERBB2 ) as classifiers for cell lines and tumours is underlined. The recourse to a larger set of cell lines is suggested since the exact origin of some of the widely used lines remains ambiguous. Investigations on additional specific lines are expected to improve our knowledge of BCC and of the dialogue that these maintain with their surrounding normal cells in vivo.
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PMID:Relevance of breast cancer cell lines as models for breast tumours: an update. 1475 95

Intratumoral levels of E1 (oestrone), E1S (oestrone sulphate) and E2 (oestradiol) are significantly reduced by treatment with the aromatase inhibitor anastrozole regardless of treatment response. The purpose of the present pilot study was to look for additional markers of biochemical response to aromatase inhibitors on mRNA expression level. Whole genome expression was studied using microarray analysis of breast cancer tissue from 12 patients with locally advanced tumors, both before and following 15 weeks of treatment with the aromatase inhibitor anastrozole (Arimidex). Intratumoral mRNA levels for a subset of genes coding for steroid metabolizing enzymes, hormone receptors and some growth mediators involved in cell cycle control were analysed by quantitative RT-PCR. There was a correlation between the two methods for some but not all genes. The mRNA expression levels of the different genes were correlated to each other and to the intratumoral levels of E1, E2 and E1S, before and after the treatment. Notably, a correlation of the E1/E2 metabolic ratio to the mRNA levels of CYP19A1 was observed before treatment (r=0.745, p<0.005). Whole genome expression analysis of these 12 breast cancer patients revealed similar tumor classification to previously published larger studies. Tumors with no or low expression of ESR1 (oestrogen receptor) clustered together and were characterized by a strong basal-like signature highly expressing keratins 5/17, cadherin 3, frizzled and apolipoprotein D, among others. The luminal epithelial tumor cluster, on the other hand, highly expressed ESR1, GATA binding protein 3 and N-acetyl transferase. An evident ERBB2 cluster was observed due to the marked over-expression of the ERBB2 gene and GRB7 and PPARBP in this patient material). Using significance analysis of microarrays (SAM), we identified 298 genes significantly differently expressed between the partial response and progressive disease groups.
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PMID:Effects of anastrozole on the intratumoral gene expression in locally advanced breast cancer. 1602 38

DNA methylation and copy number in the genomes of three immortalized prostate epithelial and five cancer cell lines (LNCaP, PC3, PC3M, PC3M-Pro4, and PC3M-LN4) were compared using a microarray-based technique. Genomic DNA is cut with a methylation-sensitive enzyme HpaII, followed by linker ligation, polymerase chain reaction (PCR) amplification, labeling, and hybridization to an array of promoter sequences. Only those parts of the genomic DNA that have unmethylated restriction sites within a few hundred base pairs generate PCR products detectable on an array. Of 2732 promoter sequences on a test array, 504 (18.5%) showed differential hybridization between immortalized prostate epithelial and cancer cell lines. Among candidate hypermethylated genes in cancer-derived lines, there were eight (CD44, CDKN1A, ESR1, PLAU, RARB, SFN, TNFRSF6, and TSPY) previously observed in prostate cancer and 13 previously known methylation targets in other cancers (ARHI, bcl-2, BRCA1, CDKN2C, GADD45A, MTAP, PGR, SLC26A4, SPARC, SYK, TJP2, UCHL1, and WIT-1). The majority of genes that appear to be both differentially methylated and differentially regulated between prostate epithelial and cancer cell lines are novel methylation targets, including PAK6, RAD50, TLX3, PIR51, MAP2K5, INSR, FBN1, and GG2-1, representing a rich new source of candidate genes used to study the role of DNA methylation in prostate tumors.
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PMID:Survey of differentially methylated promoters in prostate cancer cell lines. 1620 77

Using semi-quantitative microarray technology, almost every one of the approximately 30 000 human genes can be analyzed simultaneously with a low rate of false-positives, a high specificity, and a high quantification accuracy. This is supported by data from comparative studies of microarrays and reverse-transcription PCR for established cancer genes including those for epidermal growth factor receptor (EGFR), human epidermal growth factor receptor-2 (HER2/ERBB2), estrogen receptor (ESR1), progesterone receptor (PGR), urokinase-type plasminogen activator (PLAU), and plasminogen activator inhibitor-1 (SERPINE1). As such, semi-quantitative expression data provide an almost completely comprehensive background of biological knowledge that can be applied to cancer diagnostics. In clinical terms, expression profiling may be able to provide significant information regarding (i) the identification of high-risk patients requiring aggressive chemotherapy; (ii) the pathway control of therapy predictive parameters (e.g. ESR1 and HER2); (iii) the discovery of targets for biologically rational therapeutics (e.g. capecitabine and trastuzumab); (iv) additional support for decisions about switching therapy; (v) target discovery; and (vi) the prediction of the course of new therapies in clinical trials. In conclusion, whole genome expression analysis might be able to determine important genes related to cancer progression and adjuvant chemotherapy resistance, especially in the context of new approaches involving primary systemic chemotherapy. In this review, we will survey the current progress in whole genome expression analyses for cancer prognosis and prediction. Special emphasis is given to the approach of combining biostatistical analysis of expression data with knowledge of biochemical and genetic pathways.
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PMID:Whole genome expression analysis for biologic rational pathway modeling: application in cancer prognosis and therapy prediction. 1702 90

The development of distant metastases is the major cause of death from breast cancer. In order to predict and prevent tumour spreading, many attempts are being made to detect small numbers of tumour cells that have shed from the primary lesions and have moved to lymph nodes, blood or bone marrow. This article presents the advantages and the limitations of techniques used for disseminated tumour cells (DTC) detection. DTC markers are listed and the most currently used of them (KRT19, CEACAM5, TACSTD1, MUC1, EGFR, ERBB2, SCGB2A2, SCGB2A1, SCGB1D2, PIP, SBEM, TFF1, TFF3, ANKRD30A, SPDEF, ESR1, SERPINB5 and GABRP) are discussed, notably on the basis of recent data on breast tumour portraits (luminal epithelial-like, basal/myoepithelial-like and ERBB2). The significance of DTC for the prognosis and prediction of response to therapy is examined. DTC viability, the notion of cell dormancy and the concept of breast cancer stem cells are also discussed.
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PMID:Significance, detection and markers of disseminated breast cancer cells. 1715 53

Mutations in the LMNA gene cause various phenotypes including partial lipodystrophy, muscular dystrophies, and progeroid syndromes. The specific mutation position within the LMNA sequence can partially predict the phenotype, but the underlying mechanisms for the development of these different phenotypes are still unclear. To investigate whether different DNA methylation patterns contribute to the development of different phenotypes caused by LMNA mutations, we analyzed a panel of ten candidate genes related to fat metabolism, aging, and a tendency to different methylation patterns: CSPG2, ESR1, IGF1R, IGFR2, LMNA, MLH1, RANBP1, RARB, ZMPSTE24, and TGFBR1. We studied two independent families each comprising three individuals affected by familial partial lipodistrophy type 2 (FPLD2). Affected members in each family carried two different mutations of the LMNA gene (R482L and R471G respectively). In addition, we analyzed four progeria patients (2xLMNA/C G608G, 1xLMNA/C S143F, and 1xZMPSTE24 IVS9-Ex10) and seven healthy adults. The gene encoding retinoic acid receptor B (RARB) showed a higher methylation in all six patients with FPLD2 when compared with the progeria patients with other LMNA mutations as well as the healthy controls (P<0.05). All other investigated genes showed no difference in the methylation patterns between the groups. A drug-induced inhibition of the retinol pathway is discussed as the key pathway for developing HAART-associated lipodystrophy and our data support a possible role of the retinol pathway in the development of lipodystrophy phenotypes.
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PMID:The retinol acid receptor B gene is hypermethylated in patients with familial partial lipodystrophy. 1755 35

Invasive ductal carcinomas of the breast (IDC) are routinely assessed on hematoxylin and eosin stained paraffin sections, with limited use of immunohistochemistry (IHC). Most IDC are regarded as a single diagnostic entity, IDC of no special type (IDC-NST), which is subdivided further only by grading. However, recent research suggests that there is high clinical relevance in differentiating IDC subtypes. Here, we ascertain whether tumor histology alone can predict basal or luminal cell phenotype in high-grade IDC-NST, and whether IHC and molecular characteristics are associated with the observed morphologies. A total of 29 grade 3 IDC-NST samples were studied, 10 tumors from a selected pilot cohort A and 19 tumors from an unselected validation cohort B. Along with histopathological assessment, the expression of ESR1, PGR, ERBB2 (HER-2), the basal/myoepithelial marker TP73L (p63), cytokeratins 5/6 (KRT5/6) and 14 (KRT14), and the luminal-specific cytokeratins 8/18 (KRT 8/18) and 19 (KRT19) was assessed by IHC. Hierarchical cluster analysis of clinicopathological variables and, separately, microarray expression profiles showed that the phenotypically distinctive basaloid and luminal tumors of cohort A fell into two main groups, defined by heterogeneous or uniformly positive expression of KRT8/18. The 38 genes differentially expressed between these two classes included ERBB2, KRT8, and six other genes previously associated with ERBB2-positive or luminal phenotypes. Tumor histology was not predictive for validation cohort B, but quantitative real-time polymerase chain reaction (qRT-PCR) analysis revealed two molecularly defined clusters that again aligned with the KRT8/18 staining phenotypes. Metaphase comparative genomic hybridization revealed 10q, 16q, and 20q copy-number imbalances that associated recurrently with KRT8/18 staining patterns.
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PMID:Cytokeratin KRT8/18 expression differentiates distinct subtypes of grade 3 invasive ductal carcinoma of the breast. 1795 64

To determine ancestral allele in possible cancer-associated polymorphisms, DNA samples from 10 chimpanzees (Pan troglodytes) were sequenced for alleles corresponding to 17 polymorphisms: 8 short tandem repeats [IL1RN (alias IL-1RA) variable number tandem repeat (VNTR); TYMS (previously TS) VNTR; AR CAG repeat; dinucleotide repeats of UGT1A1, IGF1, IFNG (alias IFN-gamma), ESR1 (alias ER-alpha), and EGFR] and 9 single nucleotide polymorphisms (MMP1-1607 1G/2G, MMP3-1171 5A/6A, OGG1 Ser326Cys, ALDH2 Gly487Lys, TP53 Arg72Pro, ABCG2 Gln141Lys, MGMT Leu84Phe, SOD2 Ala-9Val, and MTHFR Ala222Val). No chimpanzee polymorphism corresponded to human IL1RN VNTR; the ancestral allele was a repeat lost in humans. Dinucleotide repeat polymorphisms of IGF1, IFNG, ESR1, and EGFR were shared by chimpanzees, but the length of repeats tended to be longer in humans than in chimpanzees. This tendency was particularly evident for IGF1. All of the SNPs tested are human-specific nucleotide changes. The ancestral allele 7A was shown to be lost in MMP3-1171 5A/6A. Thus, all of the possible cancer-associated polymorphisms tested have human-specific alleles, and the ancestral allele is lost in three polymorphisms (IL1RN VNTR, UGT1A1 CA repeat, and MMP3-1171 5A/6A), suggesting a possible involvement of human-specific alleles in cancer susceptibility.
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PMID:Determination of ancestral allele for possible human cancer-associated polymorphisms. 1806 29

Pure invasive micropapillary carcinoma (MPC) is a special histological type that accounts for 0.7-3% of all breast cancers. MPC has a distinctive growth pattern and a more aggressive clinical behaviour than invasive ductal carcinomas of no special type (IDC-NSTs). To define the molecular characteristics of MPCs, we profiled a series of 12 MPCs and 24 grade and oestrogen receptor (ER)-matched IDC-NSTs using high-resolution microarray comparative genomic hybridization (aCGH). In addition, we generated a tissue microarray containing a series of 24 MPCs and performed immunohistochemical analysis with ER, PR, Ki-67, HER2, CK5/6, CK14, CK17, EGFR, topoisomerase-IIalpha, cyclin D1, caveolin-1, E-cadherin, and beta-catenin antibodies. In situ hybridization probes were employed to evaluate the prevalence of amplification of HER2, TOP2A, EGFR, CCND1, MYC, ESR1, and FGFR1 genes. aCGH analysis demonstrated that MPCs significantly differed from IDC-NSTs at the genomic level. Gains of 1q, 2q, 4p, 6p, 6q23.2-q27, 7p, 7q, 8p, 8q, 9p, 10p, 11q, 12p, 12q, 16p, 17p, 17q, 19p, 20p, 20q, and 21q, and losses of 1p, 2p, 6q11.1-q16.3, 6q21-q22.1, 9p, 11p, 15q, and 19q were more prevalent in MPCs. High-level gains/amplifications of 8p12-p11, 8q12, 8q13, 8q21, 8q23, 8q24, 17q21, 17q23, and 20q13 were significantly associated with MPCs. A comparison between 24 MPCs and a series of 48 grade and ER-matched IDC-NSTs revealed that high cyclin D1 expression, high proliferation rates, and MYC (8q24) amplification were significantly associated with MPCs. Our results demonstrate that MPCs have distinct histological features and molecular genetic profiles supporting the contention that they constitute a distinct pathological entity.
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PMID:Genomic and immunophenotypical characterization of pure micropapillary carcinomas of the breast. 1848 83

Acquired resistance to endocrine therapies remains a major clinical obstacle in hormone-sensitive breast tumors. We used an MCF-7 breast tumor cell line (Tam(R)-1) resistant to tamoxifen to investigate this mechanism. We demonstrate that Tam(R)-1 express elevated levels of phosphorylated AKT and MAPK3/1-activated RPS6KA2 compared with the parental MCF-7 cell line (MCF-7). There was no change in the level of total ESR between the two cell lines; however, the Tam(R)-1 cells had increased phosphorylation of ESR1 ser(167). SiRNA blockade of AKT or MAPK3/1 had little effect on ESR1 ser(167) phosphorylation, but a combination of the two siRNAs abrogated this. Co-localization studies revealed an association between ERBB2 and ESR1 in the Tam(R)-1 but not MCF-7 cells. ESR1 was redistributed to extranuclear sites in Tam(R)-1 and was less transcriptionally competent compared with MCF-7 suggesting that nuclear ESR1 activity was suppressed in Tam(R)-1. Tamoxifen resistance in the Tam(R)-1 cells could be partially overcome by the ERBB2 inhibitor AG825 in combination with tamoxifen, and this was associated with re-localization of ESR1 to the nucleus. These data demonstrate that tamoxifen-resistant cells have the ability to switch between ERBB2 or ESR1 pathways promoting cell growth and that pharmacological inhibition of ERBB2 may be a therapeutic strategy for overcoming tamoxifen resistance.
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PMID:ERBB2 influences the subcellular localization of the estrogen receptor in tamoxifen-resistant MCF-7 cells leading to the activation of AKT and RPS6KA2. 1882 59


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