5 resultados para Lung Neoplasms -- genetics

em University of Queensland eSpace - Australia


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Objective: The Ile462Val substitution in the cytochrome P450 1A1 gene (CYP1A1) results in increased enzymatic activity. Preliminary data suggesting a link between this polymorphism and lung cancer risk in Caucasians are inconsistent, reflecting small sample sizes and the relatively low frequency of the variant. Methods: The data set consisted of 1050 primary non-small cell lung cancer cases and 581 controls, a large homogenous population designed specifically to address previous inconsistencies. Patients were genotyped using a PCR-RFLP technique. Results: Carriers of the valine allele, CYP1A1*2C, (Ile/Val or Val/Val genotypes) were significantly over-represented in non-small cell lung cancer compared to controls (OR=1.9; 95% CI=1.2-2.9; p=0.005) when adjusted for confounders, particularly in women (OR=4.6; 95% CI=1.7-12.4; p=0.003). The valine variant was statistically significantly over-represented in cases of lung cancer younger than the median age (64 years) (OR=2.5; 95% CI=1.3-4.8; p=0.005) and cases with less than the median cumulative tobacco-smoke exposure (46 pack-years) (OR=2.4; 95% CI=1.3-4.7; p=0.007). Conclusions: These new data establish an association between the CYP1A1 Ile462Val polymorphism and the risk of developing non-small cell lung cancer, especially among women.

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Merkel cell carcinoma (MCC) is a rare aggressive skin tumor which shares histopathological and genetic features with small-cell lung carcinoma (SCLC), both are of neuroendocrine origin. Comparable to SCLC, MCC cell lines are classified into two different biochemical subgroups designated as 'Classic' and 'Variant'. With the aim to identify typical gene-expression signatures associated with these phenotypically different MCC cell lines subgroups and to search for differentially expressed genes between MCC and SCLC, we used cDNA arrays to pro. le 10 MCC cell lines and four SCLC cell lines. Using significance analysis of microarrays, we defined a set of 76 differentially expressed genes that allowed unequivocal identification of Classic and Variant MCC subgroups. We assume that the differential expression levels of some of these genes reflect, analogous to SCLC, the different biological and clinical properties of Classic and Variant MCC phenotypes. Therefore, they may serve as useful prognostic markers and potential targets for the development of new therapeutic interventions specific for each subgroup. Moreover, our analysis identified 17 powerful classifier genes capable of discriminating MCC from SCLC. Real-time quantitative RT-PCR analysis of these genes on 26 additional MCC and SCLC samples confirmed their diagnostic classification potential, opening opportunities for new investigations into these aggressive cancers.

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This paper briefly explains why it would be unwise to use genetic and neurobiological knowledge to prevent cigarette smoking and tobacco-related disease. However implausible these uses may seem to those who are well informed about the genetics of tobacco use or tobacco-control policy, it is the preventive uses of genetic information and nicotine vaccines that most excite the interest of the media and the public. The major challenges that these approaches face need to be widely understood if we are to prevent these superfi cially attractive but controversial uses from undermining effective control policies and the development of better methods of helping smokers to quit.

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TSLC1 (tumor suppressor in lung cancer-1, IGSF4) encodes a member of the immunoglobulin superfamily molecules, which is involved in cell-cell adhesion. TSLC1 is connected to the actin cytoskeleton by DAL-1 (differentially expressed in adenocarcinoma of the lung-1, EPB41L3) and it directly associates with MPP3, one of the human homologues of a Drosophila tumor suppressor gene, Discs large. Recent data suggest that aberrant promoter methylation is important for TSLC1 inactivation in lung carcinomas. However, little is known about the other two genes in this cascade, DAL-1 and MPP3. Thus, we investigated the expression and methylation patterns of these genes in lung cancer cell lines, primary lung carcinomas and nonmalignant lung tissue samples. By reverse transcription-polymerase chain reaction, loss of TSLC1 expression was observed in seven of 16 (44%) non-small-cell lung cancer (NSCLC) cell lines and in one of 11 (9%) small-cell lung cancer (SCLC) cell lines, while loss of DAL- 1 expression was seen in 14 of 16 (87%) NSCLC cell lines and in four of 11 (36%) SCLC cell lines. By contrast, MPP3 expression was found in all tumor cell lines analysed. Similar results were obtained by microarray analysis. TSLC1 methylation was seen in 13 of 39 (33%) NSC LC cell lines, in one of 11 (9%) SCLC cell lines and in 100 of 268 (37%) primary NSCLCs. DAL-1 methylation was observed in 17 of 39 (44%) NSCLC cell lines, in three of 11 (27%) SCLC cell lines and in 147 of 268 (55%) primary NSCLCs. In tumors of NSCLC patients with stage II-III disease, DAL-1 methylation was seen at a statistically significant higher frequency compared to tumors of patients with stage I disease. A significant correlation between loss of expression and methylation of the genes in lung cancer cell lines was found. Overall, 65% of primary NSCLCs had either TSLC1 or DAL-1 methylated. Methylation of one of these genes was detected in 59% of NSCLC cell lines; however, in SCLC cell lines, methylation was much less frequently observed. The majority of nonmalignant lung tissue samples was not TSLC1 and DAL-1 methylated. Re-expression of TSLC1 and DAL-1 was seen after treatment of lung cancer cell lines with 5-aza-2$-deoxy-cytidine. Our results suggest that methylation of TSLC1 and/or DAL-1, leading to loss of their expression, is an important event in the pathogenesis of NSCLC.