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1.
Gastroenterology and Hepatology from Bed to Bench. 2017; 10 (1): 21-28
in English | IMEMR | ID: emr-185416

ABSTRACT

Aim: Since interactome analysis of diseases can provide candidate biomarker panel related to the diseases, in this research, proteinprotein interaction [PPI] network analysis is used to introduce the involved crucial proteins in Gastric adenocarcinoma [GA]


Background: Gastric adenocarcinoma [GA] is the most common type of stomach cancer. There is no efficient diagnostic molecular method for GA


Methods: Applying Cytoscape software 3.4.0 and String Database, the PPI network was constructed for 200 genes. Based on centrality parameters, the critical nodes were screened. Gene ontology of the key proteins for pathway analysis and molecular function processing were done and the highlighted pathways and activities were discussed


Results: Among 200 initial genes, 141 genes were included in a main connected network. Seven crucial proteins, including tumor protein p53, epidermal growth factor receptor, albumin, v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, neuro/glioblastoma derived oncogene homolog [avian], v-akt murine thymoma viral oncogene homolog 1, v-src sarcoma [Schmidt-Ruppin A-2] viral oncogene homolog [avian] and catenin [cadherin-associated protein], beta 1, 88kDa, and Myogenic differentiation 1, were introduced as key nodes of the network. These identified proteins are mostly involved in pathways and activities related to cancer


Conclusion: In conclusion, the finding is corresponding to the significant roles of these introduced proteins in GA disease. This protein panel may be a useful probe in the management of GA

2.
Gastroenterology and Hepatology from Bed to Bench. 2017; 10 (2): 118-124
in English | IMEMR | ID: emr-187869

ABSTRACT

Aim: The aim of this study is to present the oral Squamous Cell Cancer protein-protein interaction network interpretation in comparison to esophageal adenocarcinoma


Background: Oral squamous cell cancer [OSCC] is a common disease worldwide, with poor prognosis and limited treatment. Thus, introducing molecular markers through network analysis can be helpful


Methods: STRING database [DB] was applied for network construction through Cytoscape 3.4.0. Clue GO handled the gene annotation for the retrieved clusters. Eight proteins were indicated to be differential in the network constitution


Results: The centrality and clustering analysis indicate that TP53 plays an over-significant role in network integrity among eight most central proteins including TP53, AKT1, EGFR, MYC, JUN, CDH1, CCND1, and CTNNB1. The suggested biomarker set is very similar to the related biomarker panel of esophageal adenocarcinoma


Conclusion: The ontology analysis implies that the prominent proteins are involved in regulation of smooth muscle cell proliferation, regulation of fibroblast proliferation, and response to UV-A processes. In conclusion, these proteins and their associated biological processes may be more critical compared to other reported biomarkers for OSCC. Nevertheless, validation studies are required for confirming the pivotal role of potential candidates. Similar biomarker panel of this disease and esophagus adenocarcinoma is corresponded to the origin of the two malignancies

3.
Gastroenterology and Hepatology from Bed to Bench. 2015; 8 (3): 215-224
in English | IMEMR | ID: emr-166943

ABSTRACT

This study is aimed to elicit the possible correlation between breast and colon cancer from molecular prospective by analyzing and comparing pathway-based biomarkers. Breast and colon cancer are known to be frequent causes of morbidity and mortality in men and women around the world. There is some evidence that while the incident of breast cancer in young women is high, it is reported lower in the aged women. In fact, aged women are more prone to colorectal cancer than older men. . In addition, many studies showed that several biomarkers are common among these malignancies. The genes were retrieved and compared from KEGG database and WikiPathway, and subsequently, protein-protein interaction [PPI] network was constructed and analyzed using Cytoscape v:3.2.1 software and related algorithms. More than forty common genes were identified among these malignancies; however, by pathways comparison, twenty genes are related to both breast and colon cancer. Centrality and cluster screening identified hub genes, including SMAD2, SMAD3, [SMAD4, MYC], JUN, BAD, TP53. These seven genes are enriched in regulation of transforming growth factor beta receptor signaling pathway, positive regulation of Rac protein signal transduction, positive regulation of mitochondrial outer membrane permeabilization involved in apoptotic signaling pathway, and positive regulation of mitotic metaphase/anaphase transition respectively. As there are numerous genes frequent between colorectal cancer and breast cancer, there may be a common molecular origin for these malignancies occurrences. It seems that breast cancer in females interferes with the rate of colorectal cancer incidence

4.
Journal of Paramedical Sciences. 2014; 5 (4): 2-8
in English | IMEMR | ID: emr-188353

ABSTRACT

Ethanol known as ethyl alcohol is being widely used around the world. Many serious diseases are related with its consumption. Alcohol posses many divers effects on human body including risk of cirrhosis and/or hepatocellular carcinoma. Therefore, analysis of this component is prominent. Fibroblast cells were cultured in various dosages of ethanol. The effective dosage was then investigated by proteomic methods. Separated proteins of fibroblast cells by Two-Dimensional Gel [2DG] Electrophoresis method based on pI and MW were analyzed based on spots alteration by Same Spot Software. Furthered analysis was carried out with vigorous statistical analysis based on significant folding changes and one-way ANOVA. About 372 protein spots were identified and among them 65 of them were having significant expression profile, which is evaluated as p <0.05. Therefore, ethanol can induce a great impact on protein profile of fibroblast. It is concluded that altering morphologic features and viability, as well as protein expression changes, confirm toxic properties of ethanol in human body

5.
Gastroenterology and Hepatology from Bed to Bench. 2013; 6 (1): 25-31
in English | IMEMR | ID: emr-127571

ABSTRACT

In this study, we report the effect of the essential oil of Rosa Damascena on human colon cancer cell line [SW742] and human fibroblast cells. Colon cancer is the second most common fatal malignancy. Owing to the existence of many side effects and problems related to common treatments such as surgery, chemotherapy and radiotherapy, alternative treatments are being investigated. Some herbal medicines have shown promising results against different types of cancers. Herbal medicines used have included the use naturally occurring essential oils. The essential oil of Rosa Damascena was obtained by distillation and its effect on SW742 cell-line and fibroblast cells were investigated with cell culture. The cells were cultured and different volumes of essential oil were induced to the cells. After 48h incubation, cell survival was measured and using statistical analysis, the findings were evaluated and reported. This study showed that soluble part of Rosa Damascena oil increases cell proliferation in high volumes and the non-soluble component decreases cell proliferation. The effects of essential oils, such as Rosa Damascena, on cell proliferation require more thorough investigation


Subject(s)
Humans , Oils, Volatile , Colonic Neoplasms , Cell Line , Fibroblasts
6.
Journal of Paramedical Sciences. 2013; 4 (4): 47-50
in English | IMEMR | ID: emr-194149

ABSTRACT

Breast cancer [BC] accounts for one of the major health problems around the world. Since the diagnosis process can have great effect on therapy outcomes, we studied the biomarkers specific to breast tumors stage I based on examining different Iranian patients. Cases from different stages were examined to discover their highly expressed proteins. In addition, pathologic evaluations were performed as the diagnosis procedure. Considering positive percentage of over-expressed protein in different stages in the population, it is guessed that over-expression of ErBb2 and PR are positively correlated, while P53 is in negative correlation with them. Therefore, these molecules can probably account for stage I biological marker. This study suggests that alterations in over-expression of specific biomarkers in different stages may be associated to the stage classification, and can help achieve more effective therapies of this malignancy

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