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Query: UMLS:C0006142 (breast cancer)
 160,383 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A homozygous deletion of the DOCK8 (dedicator of cytokinesis 8) locus at chromosome 9p24 was found in a lung cancer cell line by array-CGH analysis. Cloning of the full-length DOCK8 cDNA led us to define that the DOCK8 gene encodes a protein consisting of 2,099 amino acids. DOCK8 was expressed in a variety of human organs, including the lungs, and was also expressed in type II alveolar, bronchiolar epithelial and bronchial epithelial cells, which are considered as being progenitors for lung cancer cells. DOCK8 expression was reduced in 62/71 (87%) primary lung cancers compared with normal lung tissue, and the reduction occurred irrespective of the histological type of lung cancer. 5-Aza-2'-deoxy-cytidine and/or Trichostatin A treatments induced DOCK8 expression in lung cancer cell lines with reduced DOCK8 expression. Therefore, epigenetic mechanisms, including DNA methylation and histone deacetylation, were indicated to be involved in DOCK8 down-regulation in lung cancer cells. Further screening revealed homozygous deletions of the DOCK8 gene in a gastric and a breast cancer cell line. DOCK family proteins have been shown to play roles in regulation of migration, morphology, adhesion and growth of cells. Thus, the present results suggest that genetic and epigenetic inactivation of DOCK8 is involved in the development and/or progression of lung and other cancers by disturbing such regulations.
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PMID:Homozygous deletion and reduced expression of the DOCK8 gene in human lung cancer. 1639 85

We analyzed hTERT splicing patterns with respect to telomerase activity in breast cancer. Using a cDNA microarray in 22 cell lines, we observed the difference in expression profiling based on the different levels of full-length variant expression with 71 selected genes. Using 33 known genes that act with the telomerase complex, we performed unsupervised clustering with all cell lines, and found a clustering tendency related to the full-length variant expression level. Using array-based CGH, highly altered genomic copy number changes were found more often in MCF-7 (159 genes) than in MDA-MB-231 (109 genes) and MDA-MB-435 (49 genes), suggesting more genomic changes in MCF-7 cells. On comparing MCF-7 with MDA-MB231 and MDA-MB-435 cell lines, we identified 8 genes with different copy numbers, including dystroglycan, which is located in the p12-21.2 area of chromosome 3. In conclusion, alterations in the level of the full-length variant of hTERT showed different gene expression profiles and genomic copy number changes in breast cancer, which require further study into their cause-and-effect relationship.
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PMID:Alteration of hTERT full-length variant expression level showed different gene expression profiles and genomic copy number changes in breast cancer. 1652 54

Breast cancer is a leading cause of cancer-death among women, where the clinicopathological features of tumors are used to prognosticate and guide therapy. DNA copy number alterations (CNAs), which occur frequently in breast cancer and define key pathogenetic events, are also potentially useful prognostic or predictive factors. Here, we report a genome-wide array-based comparative genomic hybridization (array CGH) survey of CNAs in 89 breast tumors from a patient cohort with locally advanced disease. Statistical analysis links distinct cytoband loci harboring CNAs to specific clinicopathological parameters, including tumor grade, estrogen receptor status, presence of TP53 mutation, and overall survival. Notably, distinct spectra of CNAs also underlie the different subtypes of breast cancer recently defined by expression-profiling, implying these subtypes develop along distinct genetic pathways. In addition, higher numbers of gains/losses are associated with the "basal-like" tumor subtype, while high-level DNA amplification is more frequent in "luminal-B" subtype tumors, suggesting also that distinct mechanisms of genomic instability might underlie their pathogenesis. The identified CNAs may provide a basis for improved patient prognostication, as well as a starting point to define important genes to further our understanding of the pathobiology of breast cancer. This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat
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PMID:Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene-expression subtypes of breast cancer. 1689 46

Chromosome 1 is involved in quantitative anomalies in 50-60% of breast tumours. However, the structure of these anomalies and the identity of the affected genes remain to be determined. To characterise these anomalies and define their consequences on gene expression, we undertook a study combining array-CGH analysis and expression profiling using specialised arrays. Array-CGH data showed that 1p was predominantly involved in losses and 1q almost exclusively in gains. Noticeably, high magnitude amplification was infrequent. In an attempt to fine map regions of copy number changes, we defined 19 shortest regions of overlap (SROs) for gains (one at 1p and 18 at 1q) and of 20 SROs for losses (all at 1p). These SROs, whose sizes ranged from 170 kb to 3.2 Mb, represented the smallest genomic intervals possible based on the resolution of our array. The elevated incidence of gains at 1q, added to the well-established concordance between DNA copy increase and augmented RNA expression, made us focus on gene expression changes at this chromosomal arm. To identify candidate oncogenes, we studied the RNA expression profiles of 307 genes located at 1q using a home-made built cDNA array. We identified 30 candidate genes showing significant overexpression correlated to copy number increase. In order to substantiate their involvement, RNA expression levels of these candidate genes were measured by quantitative (Q)-RT-PCR in a panel of 25 breast cancer cell lines previously typed by array-CGH. Q-PCR showed that 11 genes were significantly overexpressed in the presence of a genomic gain in these cell lines, and 20 overexpressed when compared to normal breast.
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PMID:Genetic profiling of chromosome 1 in breast cancer: mapping of regions of gains and losses and identification of candidate genes on 1q. 1706 Sep 36

Breast cancer is the most common malignancy among women and accounts for over one million new cases worldwide per year. Lymph node-negative breast cancer patients are reputed as having a better prognosis than lymph node-positive ones. Around 20% of the lymph node-negative patients die within 10 years after diagnosis. To improve the prognostics of node-negative breast cancer, it is important to understand the underlying biologic mechanisms promoting survival, such as specific genetic changes in the tumor genome. In this study, CGH was applied to analyze 64 tumors from node-negative breast cancer patients to identify DNA copy number changes in chromosomes and chromosome regions that may be correlated to survival. The main findings show gains at 4q, 5q31 approximately qter, 6q12 approximately q16, and 12q14 approximately q22, as well as losses of 17p, 18p, and Xq, which were significantly more recurrent in tumors from deceased patients than in tumors from survivors. The average number of chromosomal changes was higher in the tumors from deceased compared to the survivor tumors. Our findings suggest that tumors with specific chromosomal aberrations at 4q, 5q31 approximately qter, 6q12 approximately q16, 12q14 approximately q22, 17p, 18p, and Xq result in an aggressive form of breast cancer and that these patients are predisposed to succumb to breast cancer.
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PMID:Chromosomal changes associated with clinical outcome in lymph node-negative breast cancer. 1721 22

Epithelial cancers frequently have multiple amplifications, and particular amplicons tend to occur together. These co-amplifications have been suggested to result from amplification of pre-existing junctions between two chromosomes, that is, translocation junctions. We investigated this hypothesis for two amplifications frequent in breast cancer, at 8p12 and 11q13, which had been reported to be associated in Southern blot studies. We confirmed that both genomic amplification and expression of genes was correlated between the frequently-amplified regions of 8p and 11q, in array CGH and microarray expression data, supporting the importance of co-amplification. We examined by FISH the physical structure of co-amplifications that we had identified by array CGH, in five breast cancer cell lines (HCC1500, MDA-MB-134, MDA-MB-175, SUM44, and ZR-75-1), four breast tumors, and a pancreatic cancer cell line (SUIT2). We found a variety of arrangements: amplification of translocation junctions; entirely independent amplification of the two regions on separate chromosomes; and separate amplification of 8p and 11q sequences in distinct sites on the same rearranged chromosome. In this last arrangement, interphase nuclei often showed intermingling of FISH signals from 8p12 and 11q13, giving a false impression that the sequences were interdigitated. We conclude that co-amplification of the main 8p and 11q amplicons in breast tumors is not usually the result of a preceding translocation event but most likely reflects selection of clones that have amplified both loci. This article contains supplementary material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat.
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PMID:Co-amplification of 8p12 and 11q13 in breast cancers is not the result of a single genomic event. 1728 74

Breast cancer is a fatal disease whose incidence is gradually increasing in most industrialized countries and in all ethnic groups. Primary prevention is the ultimate goal for the control of this disease. The knowledge that breast cancer risk is reduced by early full-term pregnancy and that additional pregnancies increase the rate of protection has provided novel tools for designing cancer prevention strategies. The protective effect of pregnancy has been experimentally reproduced in virgin rats by treatment with the placental hormone human chorionic gonadotropin (hCG). HCG prevents the initiation and inhibits the progression of chemically induced mammary carcinomas by inducing differentiation of the mammary gland, inhibiting cell proliferation, and increasing apoptosis. It also induces the synthesis of inhibin, a tumor suppressor factor, downregulates the level of expression of the estrogen receptor alpha (ER-alpha) by methylation of CpG islands, imprinting a permanent genomic signature that characterizes the refractory condition of the mammary gland to undergo malignant transformation. The genomic signature induced by hCG is identical to that induced by pregnancy and is specific for this hormone. Comparison of the mammary gland's genomic profile of virgin Sprague-Dawley rats treated daily with hCG for 21 days with that of rats receiving 17beta-estradiol (E2) and progesterone (Pg) (E2 + Pg) revealed that in hCG-treated rats 194 genes were significantly up-modulated (> 2.5 log2-folds) (p < 0.01) and commonly expressed, whereas these genes were not expressed in the E2 + Pg group. The genomic signature induced by hCG and pregnancy included activators or repressors of transcription genes, apoptosis, growth factors, cell division control, DNA repair, tumor suppressor, and cell-surface antigen genes. Our data indicate that hCG, like pregnancy, induces permanent genomic changes that are not reproduced by steroid hormones and in addition regulates gene expression through epigenetic mechanisms that are differentiation-dependent processes, leading us to conclude that hormonally induced differentiation offers enormous promise for the primary prevention of breast cancer.
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PMID:Primary prevention of breast cancer by hormone-induced differentiation. 1730 91

The measurement of tumor markers is currently one of the most rapidly growing areas in laboratory medicine. Lack of sensitivity and specificity preclude the use of most existing markers for the early detection of malignancy. For patients with diagnosed malignancy, however, markers are potentially useful in determining prognosis, predicting therapeutic response, maintaining surveillance following curative surgery and monitoring therapy in advanced disease. Clinically useful markers include CEA in the surveillance of patients with diagnosed colorectal cancer, AFP and HCG in the management of patients with non-seminomatous germ cell tumors, HCG in the management of patients with trophoblastic disease, CA 125 for monitoring therapy in patients with ovarian cancer, estrogen receptors for predicting response to hormone therapy in breast cancer and HER-2 for the identification of women with breast cancer likely to respond to trastuzumab (Herceptin). Although widely used, the impact of PSA screening in reducing mortality from prostate cancer remains to be shown.
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PMID:Role of tumor markers in patients with solid cancers: A critical review. 1744 88

Today, breast cancer is the most commonly occurring cancer among women. It accounts for 22% of all female cancers and the estimated annual incidence of breast cancer worldwide is about one million cases. Many risk factors have been identified but a positive family history remains among the most important ones established for breast cancer, with first-degree relatives of patients having an approximately two-fold elevated risk. It is currently estimated that approximately 20-25% of this risk is explained by known breast cancer susceptibility genes, mostly those conferring high risks, such as BRCA1 and BRCA2. However, these genes explain less than 5% of the total breast cancer incidence, even though several studies have suggested that the proportion of breast cancer that can be attributed to a genetic factor may be as high as 30%. It is thus likely that there are still breast cancer susceptibility genes to be found. It is presently not known how many such genes there still are, nor how many will fall into the class of rare high-risk (e.g. BRCAx) or of common low-risk susceptibility genes, nor if and how these factors interact with each other to cause susceptibility (a polygenic model). In this review we will address this question and discuss the different undertaken approaches used in identifying new breast cancer susceptibility genes, such as (genome-wide) linkage analysis, CGH, LOH, association studies and global gene expression analysis.
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PMID:Genetic susceptibility for breast cancer: how many more genes to be found? 1749 66

SKP1-cullin-F-box protein (SCF) type ubiquitin ligases degrade proteins controlling the G1/S transition. Deficiency for FBXW7 (also known as hCDC4), which encodes the F-box protein of the SCF type ubiquitin ligase is associated with genomic instability. Here, we investigated the association of FBXW7 deficiency with chromosomal instability in breast cancer. We screened 49 tumors previously profiled by array CGH for mutations in conserved regions of FBXW7, but found no mutations. Copy number loss of FBXW7, however was associated with enhanced genomic instability in the Complex breast tumor subtype, but instability may not be due to FBXW7 haploinsufficiency, since transcript levels were not reduced in tumors with loss of the locus, whereas reduced expression was observed for other neighboring genes involved in maintenance of genome stability. We also investigated whether cells deficient for FBXW7 showed enhanced instability by challenging cells with methotrexate and assessing numbers of genomic alterations arising in resistant cells. Although methotrexate resistant colonies formed at high frequencies in HCT116 FBXW7+/- and HCT116 FBXW7-/- cells compared to parental HCT116, few copy number alterations were detected in the resistant cells. Taken together these studies suggest that FBXW7 deficiency is unlikely to contribute to the extensive copy number aberrations associated with breast and possibly other tumor types.
Breast Cancer Res Treat 2008 May
PMID:FBXW7 and DNA copy number instability. 1758 3


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