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Showing 3 results for Gastric Cancer
Determining the Effective Factors in the Incidence of Gastric Cancer by Using Data Mining Approach
Seyed Abbas Mahmoodi , Kamal Mirzaie, Seyed Mostafa Mahmoodi ,
Volume 11, Issue 3 (9-2017)
Abstract
Background and Aim: Gastric cancer is the second leading cause of cancer death in the world. Due to the prevalence of the disease and the high mortality rate of gastric cancer in Iran, the factors affecting the development of this disease should be taken into account. In this research, two data mining techniques such as Apriori and ID3 algorithm were used in order to investigate the effective factors in gastric cancer.
Materials and Methods: Data sets in this study were collected among 490 patients including 220 patients with gastric cancer and 270 healthy samples referred to Imam Reza hospital in Tabriz. The best rules related to this data set were extracted through Apriori algorithm and implementing it in MATLAB. ID3 algorithm was also used to investigate these factors.
Results: The results showed that having a history of gastro esophageal reflux has the greatest impact on the incidence of this disease. Some rules extracted through Apriori algorithm can be a model to predict patient status and the incidence of the disease and investigate factors affecting the disease. The prediction accuracy achieved through ID3 algorithm is 85.56 which was a very good result in the prediction of gastric cancer.
Conclusion: Using data mining, especially in medical data, is very useful due to the large volume of data and unknown relationships between systemic, personal, and Behavioral Features of patients. The results of this study could help physicians to identify the contributing factors in incidence of the disease and predict the incidence of the disease.

The Apoptotic Effects of Tolmetin on Human Gastric Cancer Cells
Sanaz Noroozi, Rahim Ahmadi, Minoo Iranshahi,
Volume 14, Issue 2 (5-2020)
Abstract
Background and Aim: Studies have shown that non-steroid anti-inflammatory drugs have an effect on cancer cells of digestive system, however, the cellular and molecular mechanism of the non-steroidal anti-inflammatory drugs and their effects on the proliferation of gastrointestinal cancer cells is unclear in many cases. The aim of this study was to investigate the effects of cytotoxic dose of tolmetin on BAX and BCL2 genes expression level in gastric cancer cells (AGS).
Materials and Methods: In this laboratory-experimental study, AGS cells were purchased from Pasture institute and divided into control group and groups exposed to different concentrations of tolmetin. MTT assay was used to measure cytotoxic effects of tolmetin. Real-time PCR was used to evaluate BAX and BCL2 genes expression levels. The data were statistically analyzed between groups using ANOVA.
Results: Higher decrease in relative expression level of anti-apoptotic BCL2 was observed than expression level of apoptotic BAX gene in AGS cells exposed to IC50 concentration of tolmetin.
Conclusion: The results of this study indicated that tolmetin can induce apoptosis in gastric cancer cells by decreasing of anti-apoptotic BCL2 gene expression level. Therefore, consideration might be given to tolmetin in treatment of gastric cancer.
 

The Effect of D-Peptide-B and B.Bifidum Probiotic Lysate on the Expression of TNF-α and IL-1 Genes in AGS Cancer Cell Line Compared to Healthy HEK Cells
Shima Derakhshan, Negar Yavari Tehrani Fard, Nahid Abotalbe, Maryam Naseroleslami,
Volume 17, Issue 2 (5-2023)
Abstract
Background and Aim: Today, natural compounds such as peptides and probiotics can be mentioned as a supplement to the treatment of diseases such as cancer. These compounds may be effective in preventing the progression or treatment of cancer by affecting some molecular pathways including inflammation. The aim of this study was to investigate the effect of D-peptide-B and B.bifidum probiotic lysate on the expression of TNF-α and IL-1 genes in gastric cancer cells of AGS cell line.
Materials and Methods: In this study, AGS and HEK cells were cultured in DMEM medium with 10% bovine serum. The cells were treated with different concentrations of D-peptide-B and B.bifidum lysate and were incubated for 24 hours. The cell viability was checked by MTT. For molecular investigations, after RNA extraction and cDNA synthesis, the relative expression of TNF-α and IL-1 genes was evaluated using Real time PCR, and the data were analyzed using statistical methods One-way ANOVA.
Results: The MTT results indicated that the AGS cancer cells’ survival rate decreased after treatment with dipeptide-B and lysate of B.bifidum as compared to HEK control cells. Furthermore, the study found that the expression levels of TNF-α and IL-1 genes in gastric cancer cells were significantly higher after treatment with D-Peptide-B, bacterial lysate, or both, when compared to normal HEK cells (P≤0.05). Specifically, the IL-1 gene expression increased by 300% (4 times) for peptide treatment, 100% (2 times) for bacterial treatment, and 650% (7.5 times) for combined treatment. Similarly, the TNF-α gene expression increased by 350% for peptide treatment, 100% for bacterial treatment, and 520% for combined treatment. These results suggest that these compounds may have induced cell death in cancer cells by affecting other molecular pathways.
Conclusion: Considering that D-peptide-B and B.bifidum lysate had no significant toxicity on normal cells and caused a significant decrease in the survival of cancer cells and this toxicity was dose dependent, therefore, consideration might be given to these natural compounds in treatment of gastric cancer.

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