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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)

Chromosome 17q is frequently rearranged in breast cancer. Allelotyping studies have proposed the existence of at least four regions of allelic imbalance (AI). Here we present a study combining allelotyping using 19 CA repeat markers mapping in the 17q21-25 region and molecular cytogenetics (CGH and FISH). Allelotyping was undertaken on 178 pairs of cognate tumor and normal DNA in order to determine the number of regions of AI and define the shortest overlaps. AI ranged from 34-54% of the informative cases according to the marker and, overall, 66% of the tumors presented AI at one of the markers tested. Analysis of the patterns of imbalances revealed at least five common regions of imbalance respectively defined by markers: D17S855, which is intragenic of BRCA1 (SRO 1), D17S1607 (SRO 2), D17S1855 (SRO 3), between D17S789 and D17S785 (SRO 4) and D17S784 (SRO 5). In order to characterize the nature of the genetic events revealed by allelotyping we performed CGH analysis on a subset of 43 tumors presenting variable patterns of imbalance. CGH showed that AI at 17q could represent four different types of genetic events: loss of chromosome 17, gain of 17q, gain of 17q22-q24, loss of 17q11-q21 and/or 17q25-qter. Some of these anomalies could occur concomitantly within the same tumor. Since 35% of the tumors analysed by CGH presented gains, these data indicated that AI at 17q were not solely indicative of losses of genetic material and could also represent DNA amplification. Gains were most commonly observed in the 17q23-q24 regions. This suggested that AI in SRO 2 and SRO 3 corresponded to DNA amplification. To assess this, we isolated BAC clones by PCR screening for markers D17S1607 and D17S1855 and used these in FISH experiments on six breast tumor cell lines and 14 breast cancer specimens. FISH results showed that both D17S1607 and D17S1855 were frequently involved in DNA amplification (8-30 copies). Altogether, our data show that allelotyping can be efficiently used in amplicon mapping. Clinico-pathological correlations indicated that imbalance at 17q preferentially occurred in high grade, PR- and ERBB2 amplified tumors.
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PMID:17q21-q25 aberrations in breast cancer: combined allelotyping and CGH analysis reveals 5 regions of allelic imbalance among which two correspond to DNA amplification. 1059 24

Elk-1, a c-Fos protooncogene regulator, which belongs to the ETS-domain family of transcriptional factors, plays an important role in the induction of immediate early gene expression in response to a variety of extracellular signals. In this study, we demonstrate for the first time the in vitro and in vivo interaction of Elk-1 with BRCA1 splice variants BRCA1a and BRCA1b using GST-pull down assays, co-imunoprecipitations/Western blot analysis of cell extracts from breast cancer cells and mammalian two-hybrid assays. We have localized the BRCA1 interaction domain of Elk-1 protein to the conserved ETS domain, a motif involved in DNA binding and protein-protein interactions. We also observed binding of BRCA1 proteins to other ETS-domain transcription factors SAP1, ETS-1, ERG-2 and Fli-1 but not to Elk-1 splice variant DeltaElk-1 and c-Fos protooncogene. Both BRCA1a and BRCA1b splice variants function as growth suppressors of human breast cancer cells. Interestingly, our studies reveal that although both Elk-1 and SAP-1 are highly homologous members of a subfamily of ETS domain proteins called ternary complex factors, it is only Elk-1 but not SAP-1 that can augment the growth suppressive function of BRCA1a/1b proteins in breast cancer cells. Thus Elk-1 could be a potential downstream target of BRCA1 in its growth control pathway. Furthermore, we have observed inhibition of c-Fos promoter activity in BRCA1a transfected stable breast cancer cells and over expression of BRCA1a/1b attenuates MEK-induced SRE activation in vivo. These results demonstrate for the first time a link between the growth suppressive function of BRCA1a/1b proteins and signal transduction pathway involving Elk-1 protein. All these results taken together suggest that one of the mechanisms by which BRCA1a/1b proteins function as growth/tumor suppressors is through inhibition of the expression of Elk-1 target genes like c-Fos.
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PMID:c-Fos oncogene regulator Elk-1 interacts with BRCA1 splice variants BRCA1a/1b and enhances BRCA1a/1b-mediated growth suppression in breast cancer cells. 1131 79

BRCA1 germline mutations have been linked to the development of hereditary breast and ovarian cancers. Recent studies suggest that BRCA1 may function in the regulation of basic cellular processes, including gene transcription, and sensing and/or repair of DNA damage. To further delineate the BRCA1 upstream and downstream steps involved in its role in the cellular response to ionizing radiation, we compared the effects of expression of an exogenous full-length Brca1 with those of a truncated Brca1 mutant in the ID-8 mouse ovarian cancer cell line after irradiation. We found that expression of both full-length and truncated Brca1 increased resistance to ionizing radiation. Expression of truncated, but not full-length, Brca1 then allowed us to identify new potential downstream targets of mutated BRCA1 like MAPK/ERK pathway members and also key genes involved in mutated BRCA1 signaling pathway response to ionizing radiation such as p53 and p21WAF1/CIP1. We therefore established an in vitro mouse model for studying the molecular effects of human BRCA1 germline mutations.
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PMID:Molecular pathways involved in response to ionizing radiation of ID-8 mouse ovarian cancer cells expressing exogenous full-length Brca1 or truncated Brca1 mutant. 1149 42

Thus far, studies investigating the differences in tumour characteristics between breast cancer in BRCA1-carriers and other patients, have focused on highly selected groups of patients, potentially limiting the conclusions that can be drawn. Previously, we had identified 10 patients with BRCA1 germline mutations in a hospital-based series of 642 breast cancer patients not selected for age or family history. The aim of this analysis is to investigate the clinical and pathological features of these BRCA1 associated carcinomas as compared to other breast cancers in this representative sample. Tumours from patients with BRCA1 germline mutations (n = 10) were compared to an age-matched sample of other patients (n = 50) from the same cohort. The following characteristics were considered: axillary nodal status and tumour size, histologic parameters (tumour type, histologic grade, mitotic rate, tubule formation, nuclear grade, CIS and lymphangio invasion) and expression of several proteins (oestrogen and progesterone receptors, cyclin D1, p53, HER2/neu, E-cadherin). In BRCA1 associated tumours receptors for oestrogen and progesterone were expressed less frequently (respectively, P = 0.001 and P = 0.002) than in controls, which is in line with findings from other studies. Other differences were also in accordance with findings from other studies, although not statistically significant. We conclude that the features of BRCA1 associated tumours detected in a hospital-based series of breast cancer patients not selected for family history of age at diagnosis are similar to tumours in cases selected for family history or age at diagnosis.
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PMID:Clinical and pathological features of BRCA1 associated carcinomas in a hospital-based sample of Dutch breast cancer patients. 1172 Apr 73

Based largely on studies of cell lines in vitro and of transgenic mouse models, disruptions of transforming growth factor (TGF) beta signaling are thought to contribute to the development and progression of human breast cancer. However, whether and how TGF-beta signaling becomes disrupted during human breast cancer development in vivo remains largely unknown. To address this question, we have compared the patterns of expression and activation of the postreceptor components of the TGF-beta signaling pathway, the so-called Smads, in human breast cancer cell lines with those in breast carcinoma specimens. None of the breast carcinoma cell lines were growth arrested by TGF-beta in vitro. Each of the tumor cell lines expressed normal levels of Smad2 and -3. Moreover, TGF-beta treatment induced phosphorylation of Smad2 (Smad2P) in each of these lines, except those that lacked TGF-beta type II receptors. Moreover, only one of the cell lines failed to express Smad4. Among 456 cases of human breast carcinoma assembled in tissue microarrays, the majority (92%) expressed Smad2, Smad2P, as well as Smad4, indicating their ability to proliferate within a microenvironment that contains bioactive TGF-beta. Thirty cases (6.6%) failed to express Smad2P, suggesting the loss of TGF-beta receptor signaling. Nine cases (2%) failed to express Smad4, and 3 of these also failed to express Smad2P. Thus, the phenotypes of breast tumors in vivo paralleled that of human breast cancer cell lines in terms of Smad2P and Smad4 expression. Loss of Smad signaling was not associated with any particular histological subtype, histological or nuclear grade, estrogen- or progesterone receptor expression, or HER2/neu expression. Loss of Smad4 was inversely correlated with the presence of axillary lymph node metastases. Most importantly, among patients with stage II breast cancer, lack of Smad2P expression in the tumor was strongly associated with shorter overall survival. Finally, analysis of a small cohort of hereditary breast cancers failed to reveal any association between BRCA1 or BRCA2 genotype and alterations in Smad signaling.
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PMID:Alterations of Smad signaling in human breast carcinoma are associated with poor outcome: a tissue microarray study. 1180 1

DNA microarray data have provided us with the opportunity to assess the expression levels for thousands of genes simultaneously. One of the uses of this information is to classify cancer tumors. A noted challenge in using microarray information is analytical. Following the work of Zhang et al. (1), we further pursue the use of recursive partitioning in analyses of microarray data for cancer classification. Not only does the recursive partitioning technique create intuitive classification rules, but also it is most flexible as to the handling of a massive number of genes, missing expressions, and multi-class tissues. Using a published data set (2), we demonstrate that the recursive partitioning technique creates a more precise and simpler classification rule than other commonly used approaches. In particular, we introduce the concept of A-tree and propose a procedure to assess a large number of A-trees. One of the identified genes (ERBB2) is in the close region of BRCA1 (17q21.1) and has been shown by others to have altered expression levels in breast cancer. Nonetheless, our identified genes warrant further investigation as to whether they play a role in the etiology of breast cancer.
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PMID:Tree-based analysis of microarray data for classifying breast cancer. 1199 61

This review is focused on genetic factors that may influence the development and/or appearance of breast cancer metastases. Over the last decade there have been significant advances in the understanding of genetic predisposition to breast cancer. The first breast cancer predisposing gene to be identified was TP53, and this was followed over the next 5 years by two more genes, BRCA1 and BRCA2, which from a population perspective are much more important than TP53. Other rarer genes have subsequently been identified, but the role of more common, less penetrant genes in breast cancer susceptibility remains unknown. Recent work has shown that breast cancers occurring in women carrying germ-line BRCA1 mutations tend to have clinicopathological features that are usually associated with a poor prognosis, such as high grade, estrogen receptor negative status and somatic TP53 mutations. On the other hand, they are usually ERBB2 negative. Whether or not such tumors are more or less likely to metastasize, and hence be associated with a poor outcome, is currently uncertain and has been the subject of much debate. Here, we outline some of the clinicopathological features of hereditary breast cancer, discuss the prognostic studies that have been performed, and introduce some possible new research directions.
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PMID:The contribution of inherited factors to the clinicopathological features and behavior of breast cancer. 1201 34

Neural tube defects (NTD) together with cardiovascular system defects are the most common malformations in the Polish population (2.05-2.68/1000 newborns). They arise during early embryogenesis and are caused by an improper neural groove closure during the neurulation process. NTD can arise from the influence of specific environmental factors on the foetus. The genetic factor is also very important, because NTDs have multigenetic conditioning. It was suggested that genes connected with the regulation of neurulation could also be involved in NTD aetiology, especially when their deletion or modification leads to neural tube defects in the mouse model. Examples are genes from the PAX family, T (Brachyury), BRCA1 and PDGFRA genes.
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PMID:Genetic basis of neural tube defects. I. Regulatory genes for the neurulation process. 1217 24

Understanding the molecular and genetic events affecting breast cancer development not only helps oncologists address important questions commonly asked by their patients but also helps clinicians gain insights into the biology of the disease. Although the molecular and genetic determinants of most sporadic breast cancer remain unknown, significant advances in the understanding of events that contribute to breast cancer formation have been made. It is now recognized that mutations in some tumor suppressor genes, such as p53, BRCA1, BRCA2, PTEN, or ATM, or epigenetic functional inactivation of other tumor suppressor genes, such as SYK and NES1, appear to play important early roles in the formation of some breast cancers. In addition, alterations in proto-oncogenes, such as HER2/neu, may contribute to the development of some breast cancer. The goal of this article is to further introduce clinicians to molecular and genetic pathways that contribute to breast cancer formation. By participating in the study of breast cancer development at the molecular as well as the histopathological level, oncologists can help develop novel prevention, diagnostic, and therapeutic approaches for the future.
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PMID:Molecular biology and genetics of breast cancer development: a clinical perspective. 1238 87

Ovarian cancer is caused by genetic alterations that disrupt proliferation, apoptosis, senescence and DNA repair. Approximately 10% of ovarian cancers arise in women who have inherited mutations in cancer susceptibility genes (BRCA1 or BRCA2). The ability to perform genetic testing allows identification of women at increased risk who can be offered prophylactic oophorectomy or other interventions aimed at preventing ovarian cancer. The vast majority of ovarian cancers are sporadic, resulting from the accumulation of genetic damage over a lifetime. Several specific genes involved in ovarian carcinogenesis have been identified, including the p53 tumour suppressor gene and HER2/ neu andPIC3KA oncogenes. The recent availability of expression microarrays has facilitated the simultaneous examination of thousands of genes, and this promises to extend further our understanding of the molecular events involved in the development of ovarian cancers. Hopefully, this knowledge can be translated into effective screening, treatment, surveillance, and prevention strategies in the future.
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PMID:Molecular aspects of ovarian cancer. 1241 30


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