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Cancer Susceptibility Genes (cancer + susceptibility_gene)
Selected AbstractsPOU5F1P1, a putative cancer susceptibility gene, is overexpressed in prostatic carcinomaTHE PROSTATE, Issue 6 2010Silvia Kastler Abstract BACKGROUND Association between genetic variants located on human chromosome 8q24.21 with an increased risk for prostatic carcinoma has been well established. POU5F1P1, a processed pseudogene homologous to the pluripotency factor OCT4, is the only sequence with coding capacity in this region. The objective of this study was to investigate the POU5F1P1 expression in prostatic carcinoma and carcinoma surrounding prostatic tissue. METHODS RT-PCR and real-time PCR was used to measure the expression of POU5F1P1 relative to the expression of HPRT1 in cell lines, prostatic carcinoma and carcinoma surrounding prostatic tissue. The structure of the POU5F1P1 mRNA and the promoter sequence were elucidated by 5,-RACE experiments. The POU5F1P1 protein was shown with immunohistochemistry on prostate tissue. RESULTS POU5F1P1 was found to be the only member of the POU5F1 family to be expressed in prostate with over-expression in prostatic carcinoma compared to surrounding prostatic tissue probably because of an increased density of expressing cells. The POU5F1P1 expression is driven by a variety of promoter structures scattered over a genomic region of 860 kB. CONCLUSIONS The over-expression of POU5F1P1 in prostatic carcinoma in addition to its genomic location and the putative function of its gene product render POU5F1P1 a good candidate to harbour functional genetic variants which modulate prostatic cancer susceptibility. Prostate 70: 666,674, 2010. © 2009 Wiley-Liss, Inc. [source] Renal carcinogenesis: Genotype, phenotype and dramatypeCANCER SCIENCE, Issue 2 2003Okio Hino Cancer is a heritable disorder of somatic cells. Environment and heredity are both important in the carcinogenic process. The Eker rat model of hereditary renal carcinoma (RC) is an example of a Mendelian dominantly inherited predisposition to a specific cancer in an experimental animal. Forty years after the discovery of the Eker rat in Oslo, we and Knudson's group independently identified a germline retrotransposon insertion in the rat homologue of the human tuberous sclerosis (TSC2) gene. To our knowledge, this was the first isolation of a Mendelian dominantly predisposing cancer gene in a naturally occurring animal model. Recently, we discovered a new hereditary renal carcinoma in the rat. This rat was named the "Ninon''rat and its predisposing (Nihon) gene could be a novel renal tumor suppressor gene. This article will review the utility of these unique models for the study of problems in carcinogenesis; e.g., species-specific differences in tumorigenesis, cell stage and tissue/cell-type specific tumorigene-sis, multistep carcinogenesis, modifier gene(s) in renal carcinogenesis, cancer prevention and the development of therapeutic treatments which can be translated to human patients, as well as how environmental factors interact with cancer susceptibility gene(s). (Cancer Sci 2003; 94: 142,147) [source] In silico analysis of missense substitutions using sequence-alignment based methods,HUMAN MUTATION, Issue 11 2008Sean V. Tavtigian Abstract Genetic testing for mutations in high-risk cancer susceptibility genes often reveals missense substitutions that are not easily classified as pathogenic or neutral. Among the methods that can help in their classification are computational analyses. Predictions of pathogenic vs. neutral, or the probability that a variant is pathogenic, can be made based on: 1) inferences from evolutionary conservation using protein multiple sequence alignments (PMSAs) of the gene of interest for almost any missense sequence variant; and 2) for many variants, structural features of wild-type and variant proteins. These in silico methods have improved considerably in recent years. In this work, we review and/or make suggestions with respect to: 1) the rationale for using in silico methods to help predict the consequences of missense variants; 2) important aspects of creating PMSAs that are informative for classification; 3) specific features of algorithms that have been used for classification of clinically-observed variants; 4) validation studies demonstrating that computational analyses can have predictive values (PVs) of ,75 to 95%; 5) current limitations of data sets and algorithms that need to be addressed to improve the computational classifiers; and 6) how in silico algorithms can be a part of the "integrated analysis" of multiple lines of evidence to help classify variants. We conclude that carefully validated computational algorithms, in the context of other evidence, can be an important tool for classification of missense variants. Hum Mutat 29(11), 1327,1336, 2008. © 2008 Wiley-Liss, Inc. [source] Novel germline BRCA1 and BRCA2 mutations in breast and breast/ovarian cancer families from the Czech Republic ,,HUMAN MUTATION, Issue 6 2001Eva Machackova Abstract Germline mutations in breast cancer susceptibility genes, BRCA1 and BRCA2, are responsible for a substantial proportion of high-risk breast and breast/ovarian cancer families. To characterize the spectrum of BRCA1 and BRCA2 mutations, we screened Czech families with breast/ovarian cancer using the non-radioactive protein truncation test, heteroduplex analysis and direct sequencing. In a group of 100 high-risk breast and breast/ovarian cancer families, four novel frame shift mutations were identified in BRCA1 and BRCA2 genes. In BRCA1, two novel frame shift mutations were identified as 3761-3762delGA and 2616-2617ins10; in BRCA2, two novel frame shift mutations were identified as 5073-5074delCT and 6866delC. Furthermore, a novel missense substitution M18K in BRCA1 gene in a breast/ovarian cancer family was identified which lies adjacent just upstream of the most highly conserved C3HC4 RING zinc finger motif. To examine the tertiary structure of the RING zinc finger domain and possible effects of M18K substitution on its stability, we used threading techniques according to the crystal structure of RAG1 dimerization domain of the DNA-binding protein. © 2000 Wiley-Liss, Inc. [source] Cell cycle checkpoints and their impact on anticancer therapeutic strategiesJOURNAL OF CELLULAR BIOCHEMISTRY, Issue 2 2004Alan Eastman Abstract Cells contain numerous pathways designed to protect them from the genomic instability or toxicity that can result when their DNA is damaged. The p53 tumor suppressor is particularly important for regulating passage through G1 phase of the cell cycle, while other checkpoint regulators are important for arrest in S and G2 phase. Tumor cells often exhibit defects in these checkpoint proteins, which can lead to hypersensitivity; proteins in this class include ataxia,telangiectasia mutatated (ATM), Meiotic recanbination 11 (Mre11), Nijmegen breakage syndrome 1 (Nbs 1), breast cancer susceptibility genes 1 and 2 (BRCA1), and (BRCA2). Consequently, tumors should be assessed for these specific defects, and specific therapy prescribed that has high probability of inducing response. Tumors defective in p53 are frequently considered resistant to apoptosis, yet this defect also provides an opportunity for targeted therapy. When their DNA is damaged, p53-defective tumor cells preferentially arrest in S or G2 phase where they are susceptible to checkpoint inhibitors such as caffeine and UCN-01. These inhibitors preferentially abrogate cell cycle arrest in p53-defective cells, driving them through a lethal mitosis. Wild type p53 can prevent abrogation of arrest by elevating levels of p21waf1 and decreasing levels of cyclins A and B. During tumorigenesis, tumor cells frequently loose checkpoint controls and this facilitates the development of the tumor. However, these defects also represent an Achilles heel that can be targeted to improve current therapeutic strategies. © 2003 Wiley-Liss, Inc. [source] Population-based retrieval of newborn dried blood spots for researching paediatric cancer susceptibility genesPAEDIATRIC & PERINATAL EPIDEMIOLOGY, Issue 5 2006Judith Klotz Summary We have demonstrated the feasibility of linking newborn blood spots, population-based cancer incidence data and birth certificate data. Incident cases of acute lymphocytic leukaemia and population-based controls were ascertained. We retrieved dried blood spot specimens, isolated and amplified DNA, and assayed the cancer susceptibility genes GSTT1 and GSTM1. The double null genotype was over-represented in the cases, consistent with previous reports based on other epidemiological methods. The design avoids issues of participation bias by cases and controls and can be used to investigate interactions of susceptibility genes and xenobiotics in semi-ecological studies. It can be useful for generating or testing hypotheses on associations of other paediatric illness and environmental contaminants. [source] | |||||||||||||