RESUMO
Ploidy, p53, bcl-2, and c-myc genes are associated with gastric cancer. Myc target 1 (MYCT1) gene is an oncogenic gene and is associated with cancer progression through different signal transduction pathways identifying the corresponding genes The objective of the study was to evaluate the association between MYCT1 gene expression and gastric cancer. Real-time polymerase chain reaction (RT-PCR), western blot analysis, cell growth study, and TUNEL assay were performed for the human gastric cancer cell lines and human embryonic kidney cell line. ß-Actin gene preferred as a control in RT-PCR. The ratio of MYCT1 gene expression to ß-actin gene expression less than 0.5 was considered as downregulation. Using SDS-PAGE MYCT1 gene expression was measured in western blot analysis. Cells with and without the MYCT1 gene were incubated in 35 mm plates with 10% fetal bovine serum in the cell growth study. TUNEL assay was performed to detect the effect of the MYCT1 gene on the apoptosis of cells. The ratio of MYCT1 gene expression to ß-actin gene expression was 0.47 ± 0.01 and 0.76 ± 0.01 for human gastric cancer cell lines and human embryonic kidney cell lines, respectively. MYCT1 gene expression was downregulated in the human gastric cancer cell lines than human embryonic kidney cell line (p < 0.001). MYCT1 gene decreased cell growth (p = 0.041) during 6 days of incubation study of cells. TUNEL assay showed only the fluorescence of PI in BGC823 cells without the MYCT1 gene. MYCT1 gene expression was downregulated in the human gastric cancer cell lines, and MYCT1 gene accelerates the apoptotic process.
RESUMO
Our study aimed to identify pathways from the source of information to the uptake of cancer genetic testing, with consideration of intermediate variables including perceptional, attitudinal and psychosocial factors. We used the Health Information National Trends Survey (2020 database) and constructed a structural equation model for pathway analysis (using SPSS version 24). Variables for socio-demographic, lifestyle and health information were also collected and used for confounding adjustment. A total of 2941 participants were analyzed (68.5%, non-Hispanic white; 59.7%, females; 58 years, median age; and 142 (4.8%) had undertaken genetic testing for cancer risk previously). Our pathway analysis found that only information from particular sources (i.e., healthcare providers and genetic counsellors) had positive and significant effects on people's perceptions of cancer regarding its prevention, detection and treatment (standardized ß range, 0.15−0.31, all p-values < 0.01). Following the paths, these perceptional variables (cancer prevention, detection and treatment) showed considerable positive impacts on the uptake of genetic testing (standardized ß (95% CIs): 0.25 (0.20, 0.30), 0.28 (0.23, 0.33) and 0.12 (0.06, 0.17), respectively). Pathways involving attitudinal and psychosocial factors showed much smaller or insignificant effects on the uptake of genetic testing. Our study brings several novel perspectives to the behavior model and may underpin certain issues regarding cancer risk genetic testing.
